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BMC Geriatrics volume 24 , Article number: 761 ( 2024 ) Cite this article
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Identifying valid and accessible tools for monitoring and improving physical activity levels is essential for promoting functional ability and healthy aging. The Physical Activity Scale for the Elderly (PASE) is a commonly used and recommended self-report measure of physical activity in older adults. The objective of this scoping review was to map the nature and extent to which the PASE has been used in the literature on community-dwelling older adults, including the evidence for its psychometric properties.
Seven electronic databases (MEDLINE (Ovid), Embase (Ovid), AMED (Ovid), Emcare (Ovid), CINAHL (EBSCO), Ageline (EBSCO)) were searched from inception to January 25, 2023. Studies were included if physical activity was part of the aim(s) and measured using the PASE, participants had a mean age of 60 years or older and lived in the community, and papers were peer-reviewed journal articles published in English. Pairs of independent reviewers screened abstracts, full-texts, and extracted data. Where possible, weighted mean PASE scores were calculated for different subgroups based on age, sex, and clinical population.
From 4,124 studies screened, 232 articles from 35 countries met the inclusion criteria. Most studies were cross-sectional (60.78%), completed in high-income countries (86.4%) and in North America (49.57%). A variety of clinical conditions were included ( n = 21), with the most common populations being osteoarthritis ( n = 13), Parkinson’s disease ( n = 11), and cognitive impairment ( n = 7). Psychometric properties of ten versions of the PASE were found. All versions demonstrated acceptable test-retest reliability. Evidence for construct validity showed moderate correlations with self-reported physical activity, fair to moderate with accelerometry derived activity and fair relationships with physical function and self-reported health. Pooled means were reported in graphs and forest plots for males, females, age groups, and several clinical populations.
The PASE was widely used in a variety of clinical populations and geographical locations. The PASE has been culturally adapted to several populations and evaluated for its reliability and convergent validity; however, further research is required to examine responsiveness and predictive validity. Researchers can use the weighted mean PASE scores presented in this study to help interpret PASE scores in similar populations.
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A pressing issue in the current healthcare system is the growing burden of chronic disease and multimorbidity associated with the world’s aging population [ 1 , 2 ]. There is an increasing number of older adults who require home care or housing options to support additional needs, including retirement homes, assisted living, or long-term care facilities [ 1 ]. Maintaining functional ability in later adulthood is a key public health priority and the promotion of physical activity (PA) is a central strategy for healthy aging initiatives [ 3 ]. Regular participation in PA has been shown to improve physical function, reduce impairments, promote independent living, and improve quality of life in older adults [ 4 ]. Physical activity can assist in maintaining cardiovascular, metabolic, and cognitive function; all of which reduce the risk of multimorbidity [ 5 , 6 , 7 ].
The World Health Organization (WHO) defines PA as “any bodily movement produced by skeletal muscles that requires energy expenditure” [ 8 ]. A growing body of evidence has demonstrated the importance of overall activity levels, including lighter intensity activities [ 9 ]. In addition to recommendations for moderate to vigorous activities, PA guidelines encourage changes in time allocation from sitting activities to light intensity activities, including standing [ 8 , 10 ]. Given the inclinations for lighter intensity activities in older ages (e.g., walking, gardening), clinicians and researchers must have tools to accurately assess and monitor the full spectrum of physical activities in this population.
Direct measures of PA (e.g., pedometers, accelerometers, and the gold standard of the doubly labelled water method) [ 11 ] can capture the full spectrum of activities. However, these measures can be more expensive, rely on equipment availability, and place a greater burden on participants [ 5 ]. Alternatively, self-report measures can be a low-cost, feasible tool for assessing and monitoring activity levels [ 12 ]. While not all questionnaires capture the same breadth of activities, the Physical Activity Scale for the Elderly (PASE) has been recommended for use in older adults for its inclusion of lighter intensity activities [ 5 ]. The PASE was designed to consider a greater number of activity domains more representative of the typical activities undertaken by older adults (e.g., gardening and household tasks) [ 13 ]. The questionnaire was developed for older adults (≥ 65), takes approximately 10 min to complete (10 questions), and asks participants to recall their activity over the last 7-days [ 13 , 14 ]. Activity types include sitting, walking, sport/recreation, exercise, occupational, and household [ 13 ]. A total score for PA can be calculated using these answers and the predetermined weights associated with each activity [ 13 ]. The PASE has been described as a suitable PA outcome measure for older adults who have multiple chronic conditions and is a recommended for measuring total PA in older adults based on evidence for its reliability and validity compared to other questionnaires [ 12 ].
To date, there has not been a comprehensive review of the populations and settings in which the PASE has been used. Rather, the literature on the PASE has focused on comparing the psychometric properties of multiple self-report measures of PA for specific populations. For example, Sattler et al. (2020) explored PA measures in healthy older adults and Garnett et al. (2019) in community-dwelling older adults with multiple chronic conditions. As part of their syntheses of all self-report PA measures both included a summary on the PASE, of ten and seven studies respectively [ 5 , 12 ]. As both these reviews recommend the use of the PASE, a more thorough exploration of the PASE with broader criteria is warranted. Further, the extent of the literature on its psychometric properties has not been thoroughly investigated. Therefore, the purpose of this scoping review was to map the nature and extent of the literature on the PASE in older populations (mean age 60) and to consolidate knowledge about the characteristics of studies using the PASE as an outcome measure, including available data on its psychometric properties. Our research questions were as follows:
To what extent has the PASE been used in older populations (e.g., number of studies, PASE administration, outcome operationalization from the PASE)?
What are the characteristics of studies that have used the PASE as an outcome measure (e.g., locations, sample characteristics, study designs)?
What is the nature and extent of the literature on the psychometric properties of the PASE in older populations (e.g., reliability, validity, cultural translation)?
The JBI guidelines for scoping reviews were followed in addition to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines (checklist available in Additional file 1 Table A1) [ 15 , 16 ]. This review protocol was registered with Open Science Framework ( https://doi.org/10.17605/OSF.IO/7BVHX ).
A broad search strategy was created with the assistance of a research librarian at the Health Sciences Library at McMaster University using the following key terms: “Physical Activity Scale for the Elderly”, “PASE”, “physical activity profile”, and “older”. Unique search strategies were developed for the following electronic databases: MEDLINE (Ovid), Embase (Ovid), Allied and Complementary Medicine Database (AMED; Ovid), Emcare (Ovid), CINAHL (EBSCO), Ageline (EBSCO). Databases were searched from inception to January 25 th , 2023. Backward citation searching was performed in Web of Science (Clarivate) for the original PASE article by Washburn and colleagues [ 13 ]. The complete search strategy for all databases is available in Additional file 1 Table A2. Reference lists of relevant systematic reviews, meta-analyses, and scoping reviews were screened and hand searched for additional articles.
To be included in this review studies must have populations consisting of older adults with a mean age greater than or equal to 60 years in line with the United Nations definition of older adults [ 17 ]. No restrictions were placed on sex, race or cultural background.
The overarching concept for this scoping review was the PASE; this included the original version and translated versions. Therefore, to be included studies must have incorporated PA in their aims and present results from the administration of the PASE. This criterion was further refined to specify that PASE must be included as a primary or secondary outcome (i.e., not just a covariate). The outcomes of interest to this review were the characteristics of the studies (e.g., cross-sectional vs prospective) and populations the PASE was used in (e.g., country, clinical populations, sex), mean total scores of the PASE, how the PASE was used (e.g., to look at relationships with PA, to determine intervention efficacy), as well as psychometric properties that have been evaluated.
Studies from any geographic location were included. After initial full-text screening the inclusion criteria was further refined to improve heterogeneity of included studies and ensure feasibility of the project due to the large number of results. The setting was restricted to designated community-dwelling populations which reflects the original context the PASE was designed in [ 13 ].
Studies were excluded if they were not written in English or if they were conference abstracts, presentations, systematic reviews, meta-analyses, scoping reviews, evidence maps, rapid reviews, literature reviews, narrative reviews, or critical reviews. Reviews were flagged and screened for additional citations.
Results from the comprehensive literature search were organized in Endnote 20 (Clarivate, Philadelphia, USA) and uploaded to Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia) for screening. Duplicated studies were removed using both programs prior to screening and any remaining were removed by hand. Prior to each phase of screening the reviewer team conducted pilot screening to improve agreement. For title and abstracts screening and full-text eligibility two independent reviewers (NB, LL, JL, IV, SH, and CD) confirmed the predetermined eligibility criteria. Due to the volume of full-text screening authors were not contacted for further details; where information for a given eligibility criteria was not reported or unclear the paper was excluded. Any disagreements during the abstract or the full-text review process were resolved by either consensus or arbitration by a third reviewer when necessary.
Data was extracted from the studies verbatim by two or more independent reviewers (NB, LL, JL, IV, SH, and CD). Modifications to the initial data extraction table made during the piloting process included the removal of details not necessary in a scoping review (e.g., funding sources, conflicts of interest) and the aims of this study (e.g., setting, recruitment methods). Additionally, separate columns were added to distinguish values calculated or extrapolated by reviewers versus authors (e.g., mean PASE scores, income classification). The following descriptive data was extracted: study details (geographical location, outcome measures, study design), population description (number of participants, mean age, sex, clinical population), PASE version and administration method, how the PASE was reported (e.g., mean vs categorical, subcategories vs full questionnaire), and psychometric properties reported.
Data was summarized in a descriptive manner through counts and percentages in tabular presentation. Weighted means and variances were calculated for total PASE scores across identified subgroups (sex, age, and clinical populations) where appropriate using the ‘metamean’ package in RStudio Team (R version 4.2.2, 2020, PBC, Boston, MA). In studies that reported only subgroup mean total PASE score or age, the authors combined the subgroup data using methods recommended in the Cochrane handbook [ 18 ]. Where possible, studies that provided median scores were converted to mean scores using the methodology developed by Wan et al. [ 19 ]. Studies that did not provide sufficient information for either transformation were omitted from some review syntheses. Studies were grouped by income based on the World Bank ratings from 2023 [ 20 ].
The database search produced 6,372 articles and hand searching citations produced another 24 articles for a total of 6,396. A total of 886 studies were assessed for full-text eligibility and 536 articles were found to use the PASE in older adults, 232 of which met all inclusion criteria (i.e., community-dwelling and the PASE was a primary/secondary outcome). An overview of the screening process can be found in PRISMA-ScR flow diagram (Fig. 1 ), and reasons for full-text study exclusions can be found in Additional file 2 Table A2.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram. Searches run on January 25 th , 2023
The PASE was used for a variety of reasons with the most common being to explore the effect of PA on a health outcome(s) (e.g., an association of PA type with all-cause mortality) [ 21 ], and the relationship of a determinant with PA (e.g., the association between walkability and walking time) [ 22 ]. Almost all the studies used the PASE in its entirety (96.55%). The studies that used partial aspects of PASE often focused on leisure time PA (e.g., walking, sport/recreation, and exercise) [ 23 , 24 , 25 ], and two studies focused on walking exclusively [ 26 , 27 ]. Most authors (93.97%) used total PASE scores (i.e., used provided activity weights). Nineteen studies (8.19%) included a measure other than central tendency for total PASE score (e.g., dichotomous, tertiles, quartiles, quintiles). Eleven studies did not use the PASE score but instead operationalized PA using different pieces of the PASE (e.g., frequency, time). Details on the use of PASE are summarized in Table 1 .
The PASE was primarily delivered in person (69.40%) followed by mail (11.21%); 45 studies were either unclear or did not report how the PASE was administered to participants. A total of 15 different versions or languages were reported; the most common version used was English (63.79%). Six studies did not report which version or language the PASE was delivered in. In many cases, only the seminal paper on the English version by Washburn et al. was cited, with no further clarification of the version or modifications made, including several papers from countries where the primary language is not English ( n = 29).
A summary of the study characteristics can be found in Table 2 . The PASE was used throughout the world; however, nearly half of the studies were completed in North America (49.57%). In total, studies from 35 different countries were included in this review; the most common countries outside of North America included China ( n = 20), Australia ( n = 19), and Japan ( n = 10). Most studies were conducted in high-income countries (86.64%). The mean age for studies ranged from 60.00 [ 28 ] to 84.40 [ 29 ] with the majority (43.10%) falling between 70–74 years old. Most studies included mixed sex samples ( n = 184), with only 17 looking at females and 22 at males. Fifty-three studies looked specifically at 21 clinical conditions (e.g., musculoskeletal, cognitive impairment, and cardiorespiratory). The 232 studies of community-dwelling older adults included 171,206 participants, with individual study samples ranging from 8 [ 30 ] to 14,881 [ 31 ]. Studies were published between 1993 [ 13 ] and 2023 [ 32 , 33 , 34 , 35 , 36 ]. The PASE was used in a variety of study designs, including cross-sectional studies (60.78%), prospective studies (25.43%), and experimental (12.07%).
Where possible, weighted means for different subgroups were summarised based on age, sex, and clinical population. Studies with a mean age between 60–64 years had the highest mean PASE scores (159.53 (95% CI 146.58, 172.49)) and studies with a mean age over 80 years old had the lowest mean PASE scores (67.17 (95% CI 51.95, 82.39)) (Fig. 2 , Forest plots available in Additional file 1 Figure B1-B5). Figure 3 presents forest plots for the combined total mean PASE score for female only studies ( n = 13) 123.99 (95% CI 108.09, 139.88) [ 26 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ] and male only studies ( n = 14) 136.27 (95% CI 122.46, 150.09) [ 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ]. Based on data availability, pooled means were created for the following clinical populations: cancer ( n = 2) [ 28 , 66 ], Chronic Obstructive Pulmonary Disease (COPD) ( n = 2) [ 67 , 68 ], cognitive impairment ( n = 6) [ 33 , 69 , 70 , 71 , 72 , 73 ], Diabetes ( n = 3) [ 74 , 75 , 76 ], Osteoarthritis ( n = 12) [ 46 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 ], and Parkinson’s disease (PD) ( n = 10) [ 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 ]. Forest plots for clinical populations are available in Additional file 1 Figure B6.
Pooled Mean PASE scores by age groups
Pooled Mean PASE score forest plots for females(1) and males(2)
Several papers evaluated the psychometric properties of the original PASE ( n = 5) along with a number of validation studies ( n = 14) for different translations and clinical populations (acute coronary event [ 98 ], COPD [ 68 ], Cancer [ 28 , 66 ], and Parkinson’s disease [ 89 ]). In total, ten different versions of the PASE were assessed for reliability and/or validity in community-dwelling older adults, including: English ( n = 5) [ 13 , 14 , 66 , 98 , 99 ], Malay ( n = 2) [ 100 , 101 ], Arabic ( n = 1) [ 102 ], Chinese ( n = 2) [ 68 , 103 ], Italian ( n = 1) [ 104 ], Norwegian ( n = 1) [ 105 ], Persian ( n = 1) [ 106 ], Polish ( n = 1) [ 107 ], Taiwanese ( n = 2) [ 28 , 108 ], Turkish ( n = 1) [ 109 ], and two studies did not report the version [ 65 , 89 ].
Sixteen studies reported on the test-retest reliability of the PASE, time frames ranging from 3 days [ 99 , 105 ] to 3–7 weeks [ 13 ] and sample sizes ranging from 18 [ 98 ] to 349 [ 100 ] (details available in Table 3 ). Across all versions of the PASE 12 studies reporting ICCs for the total score, only two fell below acceptable limits proposed in the COSMIN guidelines [ 110 ] (Malay version 0.49 (95% CI 0.37, 0.59) [ 100 ] and version NR 0.66 (95% CI 0.46–0.71) [ 89 ]). However, the majority of values were 0.90 and above ( n = 8). Internal consistency was examined in seven versions and all Cronbach alpha’s fell within an acceptable range (0.70 (Arabic and Persian subcategory lowest) to 0.82 (Italian total score)). Only four studies examined measurement error. Alqarni et al. reported the minimal detectable change (MDC95) for PASE subcategories (9.0–23.6) [ 102 ] of the Arabic version and MDC95 for total scores were provided for the Chinese version (19.21) [ 68 ] and the Polish version (38.39) [ 107 ]. Two studies also included standard errors of measurement for the PASE total score (Chinese version 6.93 [ 68 ] and NR version 30.00 [ 89 ]).
Four studies stated they were exploring criterion validity; however, each used a different measurement tool as their gold standard for PA: pedometer (walking steps and energy expenditure) [ 68 ], Actigraph (activity counts/minutes) [ 28 ], International Physical Activity Questionnaire (IPAQ) [ 109 ], doubly labeled water (total energy expenditure, energy expenditure/resting metabolic rate) and VO2max [ 65 ]. The PASE was significantly correlated to all but the doubly labelled water outcomes and VO2max [ 65 ]. During the development of the PASE Washburn et al. assessed the three aspects content validity by asking participants ( n = 36) about the appropriateness of the items, the completeness (i.e., comprehensiveness), and the comprehensibility; results were used to inform the final version of the PASE [ 13 ]. Three additional studies assessed and reported acceptable content validity for the PASE across three different clinical groups: acute coronary events (English) [ 98 ], COPD (Chinese) [ 68 ], and cancer survivors (Taiwanese) [ 28 ]. Only the English version had responsiveness and minimal important difference (MID) reported and this was in a sample of individuals with lung cancer [ 66 ].
Construct validity was the most commonly assessed form of validity, predominantly exploring convergent validity (details available in Table 4 ). Physical function performance measures and self-report questionnaires were commonly cited, and relationships ranged from fair to moderate, including the Timed Up and Go ( r = -0.45 to r = -0.69) [ 102 , 106 , 107 ], Berg Balance ( r = 0.20 to r = 0.82) [ 14 , 104 , 107 ], and the physical function section of the Short Form-36 ( r = 0.53 to r = 0.58) [ 68 , 103 , 109 ]. Muscle strength was another common construct with poor to fair correlations; specifically, grip strength ( r = 0.29 to r = 0.43) [ 13 , 68 , 100 , 102 , 103 ], and lower limb strength ( r = 0.18 to r = 0.37) [ 13 , 66 , 103 ]. There were also several self-report measures examining general health ( r = -0.12 to r = 0.44) [ 13 , 68 , 98 , 100 , 103 ] and activities of daily living ( r = 0.10 to r = 0.78) [ 100 , 106 ]. The PASE demonstrated moderate correlations with the IPAQ ( r = 0.65 to r = 0.74) [ 68 , 107 , 109 ]. Five studies compared the PASE to a direct measure of PA (e.g., accelerometers and pedometers), including outcomes such as steps per day ( r = 0.39 to r = 0.61) [ 66 , 68 , 101 ] and activity counts ( r = 0.43 to r = 0.64) with fair to moderate correlations [ 28 , 99 , 101 ]. Only Bonnefoy et al. used the gold standard doubly labelled water, and they found no significant correlations [ 65 ].
To the authors’ knowledge, this is the first review to provide a comprehensive summary of the use of the PASE in community-dwelling older adults. The PASE has been used extensively to measure PA in older adults (536 primary papers before restricting to community-dwelling settings); however, it was mainly used in high-income countries with cross-sectional research designs. While strong evidence was summarized supporting test-retest reliability and construct validity, there was a paucity of evidence examining the PASE’s responsiveness, important change thresholds, and predictive validity. In addition, we have presented pooled means for different age groups and clinical populations to provide preliminary reference values to improve interpretations of total scores.
The PASE has been used extensively in community-dwelling older adults; 171,206 participants from 35 countries were included in this review. The PASE was developed in the United States, which is reflected in the greater uptake in North America and high-income countries [ 13 ]. However, the PASE has been used across five continents and in some middle-income countries ( n = 8). Importantly, we have seen the validation of several translated versions including Arabic, Chinese, Malay, Persian, and Turkish. Furthermore, the application of the PASE to clinical and disease-specific populations has also occurred, and the high content validity in these populations is promising. The use of the PASE in persons with chronic conditions has been supported previously based on feasibility and psychometric properties [ 5 ]. While the literature summarized is extensive, more is available outside of community-dwelling populations not captured in this review, including further translations and validations (e.g., Nigerian translation) [ 111 ]. Our results show the PASE is a commonly used measure of worldwide but has been used sparingly in countries outside of North America and in lower-income countries. Decreasing the heterogeneity in how PA is measured is imperative for meaningful comparisons and data harmonization. Large numbers of self-report PA measures already exist, and previous work has recommended using these rather than creating more [ 12 , 112 ]. This review shows the large uptake of the PASE, presenting a suitable choice for research on older adults. However, it is important that psychometric measures are assessed for the population of interest.
Psychometric properties are essential for outcome measures to ensure their validity, reliability, and interpretability. Of the 232 studies included, 19 studies aimed to examine the psychometric properties of the PASE in community-dwelling older adults. According to COSMIN, most studies (12/15) found acceptable test-retest reliability for the PASE total score. However, there was variability between studies that was more pronounced between subcategories of activity types (e.g., ICC subcategory values 0.56–0.94 [ 99 ], 0.76–0.93 [ 106 ], 0.78–0.99 [ 107 ]), which may suggest more variation week to week in single activity types and less for overall activity. There was a paucity of evidence on measurement error, including MDC and standard error of measurement. Of the four studies reporting in this area, one only provided values for activity subcategories, not total score [ 102 ], and two were for clinical populations (COPD and Parkinson’s disease). The varying populations may explain the large difference in values (e.g., MDC95 = 38.4 (general) vs MDC95 = 19.2(COPD); and SEM = 30 (PD) vs SEM = 6.9 (COPD)). Establishing the minimal detectable change values is essential for ensuring differences are real and not from measurement error. In addition, none of the included studies reported minimal clinically important differences (MCID), another important parameter for interpreting change in score. This paucity of evidence must be addressed across versions in community-dwelling older adults to support further use and interpretability of the PASE.
The PASE was validated in community-dwelling older adults in ten different languages. Content validity is regarded as the most important psychometric measurement property [ 113 ]; however, other than the sentinel paper, only three included studies reported on the relevance, comprehensiveness, and comprehensibility [ 28 , 68 , 98 ]. As presented in these papers, PA appears to be influenced by cultural/societal norms, highlighting the importance and continued need to verify the content validity of PA questionnaires when validating in new populations [ 28 ]. Fair to moderate relationships between the PASE and performance-based measures of physical function and mobility, strength, and health outcomes were regularly reported for construct validity. Four studies stated they examined criterion validity, which compares the PASE score to the gold standard of the same construct. However, only one study used the commonly regarded gold standard of PA doubly labelled water and did not find a significant relationship [ 65 ]. The remaining three studies found moderate correlations (> 0.60) using more accessible measures of PA: a pedometer [ 68 ], accelerometer [ 28 ], and a questionnaire [ 109 ]. The PASE-Polish [ 107 ] demonstrated the highest correlation at 0.74 with the IPAQ, which has been validated in 12 different countries, including low-income countries and rural samples [ 114 ]. The IPAQ was the only PA questionnaire reported, and only two other studies compared direct measures of PA (i.e., accelerometers). The correlations with the IPAQ ranged from 0.65–0.74, whereas correlations with direct measures tended to be lower and more variable (e.g., activity counts 0.43–64, walking steps 0.39–0.61). Several PASE versions did not contain a measure of PA in their validity analysis ( n = 3). Further studies investigating these metrics using a wider variety of measures of PA (e.g., different questionnaires and more direct measures) are needed to clarify these relationships.
No studies reported on longitudinal validity, demonstrating a great need for studies to evaluate the PASE’s predictive validity for important health outcomes in community-dwelling populations across the globe. Despite almost 20 studies using the PASE to measure change in PA, responsiveness, which is critical for ensuring the PASE can accurately reflect change over time, has not been reported in any of the included studies. Therefore, research is needed to explore the predictive validity and responsiveness of the PASE to inform whether the PASE can be used to predict important health outcomes (e.g., future falls, hospitalization) and change in PA (e.g., over time or through intervention) for community-dwelling older adults.
A noteworthy finding of this review was the reporting of pooled means by age, sex, and clinical population. Pooled PASE scores decreased with increasing age groups from < 65 (159.53 (95% CI 146.58, 172.49)) to the 80 years and older group (67.17 (95% CI 51.95, 82.39)). In general, this is consistent with the literature where levels of PA progressively decrease with age for both men and women [ 115 , 116 ]. Some clinical populations appeared to have greater decreases in PA than others (e.g., cognitive impairment 91.11 (95% CI 72.77, 109.40) vs osteoarthritis 129.53 (95% CI 110.40, 148.65)). Clinical groups also appear to be important in addition to age for PA level; for example, the studies in the cognitive impairment group were mostly younger age groups (5/6 less than 80 years old), but the mean PASE score was closer to the two oldest age groups. The provided reference data for age, sex, and clinical population can be used to improve the interpretability of PASE scores among similar populations of community-dwelling older adults. However, future research creating normative values for the PASE could further improve interpretability and uptake of this questionnaire.
There are several limitations of this scoping review that should be acknowledged. First, several eligibility criteria were placed on this review, resulting in papers related to the PASE being excluded. Specifically, studies were restricted to the English language, age of 60 years or older, and community-dwelling settings. These decisions were made for feasibility and to reflect the original PASE; however, they have limited our understanding of how far the PASE has been applied in different populations. With the robust search strategy reviewed by a health research librarian, we are confident that the summarized evidence accurately reflects the current literature for community-dwelling older adults. A second limitation is that only published studies were included, and grey literature was not considered, which opens the possibility that new and emerging research regarding the PASE was missed. Finally, several studies used data from the same databases/studies, resulting in the same or overlapping samples; we did not extract the information necessary to tease this apart. Therefore, pooled means will be biased toward samples included more than once. In addition, pooled mean PASE scores in clinical populations with only two studies should be interpreted cautiously due to limited sample sizes.
This review has identified areas for future consideration, including further expanding the validation of the PASE to middle- and low-income countries. A systematic review focused on the psychometric properties of the PASE with no setting restrictions may provide a valuable resource for researchers. Future investigations are needed on psychometric properties of the PASE, including thresholds of important change, responsiveness, and predictive validity for all versions of the PASE, as well as data on psychometric properties in specific clinical populations.
This review found that the PASE is a widely used PA measure among community-dwelling older adults, with evidence supporting its test-retest reliability and construct validity. The widespread use of a questionnaire increases the ability for data harmonization across studies and improves the ability to compare between studies. Further research is warranted to investigate the PASE’s ability to detect meaningful change (i.e., MDC, MCID) along with predictive validity and responsiveness. Pooled mean total PASE scores reported in this review can provide preliminary reference values for different age groups and clinical populations to help improve the interpretability of PASE scores until normative values are established.
All data generated or analyzed during this study are included in this published article [and its supplementary information files].
Chronic Obstructive Pulmonary Disease
International Physical Activity Questionnaire - Short Form
Physical Activity Scale for the Elderly
Parkinson’s Disease
Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews
Minimal clinical important difference
Minimal detectable change
Intraclass correlation coefficient
Interquartile range
Standard deviation
Standard error of measurement
Timed Up and Go
World Health Organization
Not reported
Confidence Interval
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Cassandra D’Amore, Lexie Lajambe, Noah Bush, Sydney Hiltz, Justin Laforest, Isabella Viel, Qiukui Hao & Marla Beauchamp
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MB and CD conceptualized the research question; LL, NB, SH, JL, IV in consultation with Ms Bhatnagar and CD, QH, and MB created protocol and search strategies. NB, LL, SH, JL, IV and CD carried out screening and extracting papers. JL, CD and QH carried out analyses and all authors contributed to the final manuscript.
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D’Amore, C., Lajambe, L., Bush, N. et al. Mapping the extent of the literature and psychometric properties for the Physical Activity Scale for the Elderly (PASE) in community-dwelling older adults: a scoping review. BMC Geriatr 24 , 761 (2024). https://doi.org/10.1186/s12877-024-05332-3
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Interprofessional assessment and management of health needs for older adults living at home can help prioritize community service resources and enhance health, yet there is a shortage of professionals with the necessary competencies. Therefore, support and training for healthcare professionals in community settings to assess older adults’ health with the aim of for health promotion are needed.
To identify and provide an overview of published papers describing approaches for training healthcare professionals in assessing physical, mental, and social health needs in older adults living at home.
A systematic literature search of the Cinahl, Medline, Academic Search Ultimate, Scopus, Embase, and British Nursing Index databases was performed. We considered studies focusing on the training of healthcare professionals in assessing a single or multiple health needs of older adults aged 65 and above living at home. We considered studies published between 1990 – and March 2024. The review evaluated qualitative, quantitative, and mixed methods studies published in English-language peer-reviewed academic journals. A quality appraisal was conducted via the Mixed Methods Appraisal Tool (MMAT).
Twenty-three studies focused on training healthcare professionals to assess health needs and plan care for older adults living at home were included. The majority of the included studies combined teacher-driven pedagogical approaches consisting of educational sessions, written materials or e-learning, and more participant-engaging pedagogical approaches such as knowledge exchange or various forms of interactive learning. Healthcare professionals were trained to detect and manage single and multiple health needs, and some studies additionally incorporated interprofessional collaboration. Healthcare professionals were satisfied with the training content and it increased their confidence and competencies in health needs assessment and care planning for older adults. Moreover, some studies have reported that training interventions foster the implementation of new and effective ways of working and lead to positive outcomes for older adults.
Healthcare professionals were satisfied with a combination of participant-engaging and teacher-driven pedagogical approaches used to train them in assessing health needs and planning care for older adults living at home. Such training can lead to enhanced assessment skills and facilitate improvements in practice and health promotion for older adults. Future research is recommended on interprofessional simulation training for conducting structured and comprehensive health needs assessments of older adults living at home, as well as on the implementation of such assessments and health-promoting interventions.
Peer Review reports
The globally growing and diverse aging population will impact the sustainability of healthcare systems and the independent living of older adults. To support the health needs of older adults, the World Health Organization (WHO) underscores the necessity of effectively training the healthcare workforce [ 1 , 2 ]. However, the complexity of health needs in older adults, coupled with an increased risk of frailty and adverse health outcomes, challenges the provision of tailored care [ 3 ]. Healthcare professionals in homecare settings are well-positioned to assess the health needs of home-living older adults [ 4 , 5 ] and facilitate the interprofessional management of these needs within the community [ 5 ].
Health needs assessment should offer a comprehensive understanding of individuals’ physical, mental, and social health needs, and address the constantly changing needs with increasing age. The assessments aim to identify those who can benefit from healthcare services, such as health education, disease prevention, treatment, and rehabilitation [ 6 ]. The assessment can help set service priorities and allocate service resources effectively, guide clinical decision-making [ 7 ] and design targeted, health promoting interventions [ 4 , 7 , 8 , 9 ] to prevent or delay frailty [ 10 ], enhance overall outcomes for those with complex health needs [ 11 ] and enable them to remain at home for as long as possible [ 12 ]. Given its importance, the task of health needs assessment, is becoming increasingly crucial in homecare settings [ 13 ]. However, there is a scarcity of adequately trained professionals proficient in conducting interprofessional health needs assessments [ 4 , 5 , 9 , 14 , 15 ], including depression [ 16 ], cognitive function [ 17 ], social needs [ 18 ], sensory function (i.e. hearing and vision) [ 19 ], geriatric healthcare [ 20 , 21 ], and multidimensional frailty [ 22 , 23 ]. Frailty, as a dynamic state, affects an individual who experiences losses in one or more domains of human functioning (physical, mental, social) that are caused by the influence of a range of variables, and which increase the risk of adverse outcomes [ 24 ].
A comprehensive understanding of how to train healthcare professionals in health needs assessment of the physical, mental, and social health needs of older adults living at home is crucial. This review understands training as “planned and systematic activities designed to promote the acquisition of the knowledge, skills, and attitudes” [ 25 , p77]. Training can take place as “on-the-job training,” with practicing tasks with a mentor or receiving feedback, or through “off-the-job training,” in a classroom setting with lectures, discussions, and exercises [ 26 ]. It is essential to consistently update and expand knowledge and skills throughout healthcare professionals’ careers [ 27 ]. Mentorship and support are highly valued as pedagogical approaches [ 28 ]. Another approach is implementing interprofessional team-based training [ 29 ] focused on health needs assessment for older adults, which can be complemented by practical, supervised training with a mentor in real-world settings [ 9 ]. Interprofessional simulation training can support healthcare professionals developing communication and collaborative skills and improving patient outcomes [ 2 ]. Additionally, opportunities to share and exchange experiences and new learning with peers and seniors, along with tailored, role-focused teaching, are effective approaches training strategies in community healthcare [ 30 ]. Practical training through simulation, case studies, and role-playing influences skill development by creating experiences that promote individual understanding and learning [ 31 ] and it is based on Vygotsky’s sociocultural learning theory [ 32 ]. Tailored simulation training in use of systematic assessment tools enhanced nurses’ competencies to assess and treat complex symptoms among older adults in long-term care facilities [ 33 ].
Therefore, this scoping review aimed to identify and provide an overview of published papers describing approaches for training healthcare professionals in assessing physical, mental, and social health needs in older adults living at home. Three research questions guided the review: (1) what pedagogical approaches are used when training healthcare professionals to assess the health needs of older adults living at home, (2) what is the content and foci in the health needs assessment training provided in the studies, and (3) what are the outcomes of training reported by healthcare professionals and older adults living at home?
This study followed the Joanna Briggs Institute (JBI) methodology [ 34 ] for conducting and reporting scoping reviews built on Arksey and O’Malley’s framework [ 35 ]: (1) Define and align the objectives (2) develop and align the inclusion criteria with the objectives (3) describe the planned approach to evidence searching, selection, data extraction, and presentation of the evidence (4) search for the evidence (5) select the evidence (6) extract the evidence (7) analyze the evidence (8) present the results (9) summarize the evidence in relation to the purpose of the review, draw conclusions and note the implications of the findings [ 36 ]. In addition, the PRISMA-ScR [ 37 ] was used as a checklist to report the scoping review data charting, data synthesis and presentation of the data (Additional file 1).
To be eligible for inclusion in the review, the study had to focus on the training of healthcare professionals in assessing physical, mental and social health needs [ 24 ], specifically assessing frailty, physical function, depression, cognition, social health, and sensory function of older adults aged 65 and above living at home [ 38 ]. Healthcare professionals from diverse fields were included, whether engaging in one-to-one interactions where individual healthcare professionals work directly with patients or working collaboratively in interprofessional teams of members from different professional backgrounds [ 29 ]. The review included qualitative, quantitative, and mixed methods studies published in English-language peer-reviewed academic journals. The inclusion and exclusion criteria are specified in Table 1 below.
The authors and an experienced research librarian collaboratively developed the search strategy and search terms. The search strategy followed the recommendation of JBI [ 34 ]. In June 2022, a limited search of PubMed and CINAHL was conducted to identify relevant articles. To develop a more comprehensive search strategy, we subsequently analyzed the titles and abstracts of the retrieved papers, as well as the index terms used to describe the articles. A systematic literature search was performed on October 6, 2022, in the CINAHL (EBSCO), MEDLINE (EBSCO), Academic Search Ultimate (EBSCO), Scopus (Elsevier), Embase (OVID) and British Nursing Index (ProQuest) databases. The updated search was conducted on the 7th of March 2024. The search terms employed in the different databases to represent training healthcare professionals to assess health needs in older adults living at home are described in Table 2 . We considered studies published between 1990 – and March 2024. Ultimately, the reference lists of all included studies were reviewed to identify any additional studies aligned with the scoping review’s aim.
The search yielded a total of 2266 records. The study selection process is illustrated in Fig. 1 according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram [ 39 ]. The search results were uploaded into the citation management system EndNote, where duplicates were removed. A total of 1722 records remained for screening. We used the web application Rayyan [ 40 ] to screen studies for inclusion or exclusion. The screening involved all the authors working in pairs, independently assessing eligibility on the basis of the inclusion and exclusion criteria. Discrepancies were resolved through discussions until consensus by all authors in arranged meetings.
All the records were independently screened by the authors (BHL, DND, HKF, PD and MS), and 1452 records were excluded. Two hundred seventy abstracts were reviewed in blinded pairs, leading to the exclusion of 212 records. Next, the full texts of 58 studies were read. This process resulted in the exclusion of 38 studies whose reasons are provided in the flow chart. The remaining 20 studies were included in this review (Fig. 1 ).
The primary reason for exclusion was the lack of content related to training in health needs assessment ( n = 13) or incorrect populations ( n = 12). Eight studies were excluded because they focused on training for medical or bachelor’s degree students. Additionally, four publications were not peer-reviewed studies ( n = 4).
BHL and MS independently screened the reference lists from the 20 included studies to identify additional eligible studies. After all the blinded titles were read, 28 titles of records were identified for abstract review. Following this, 22 titles were excluded, leaving 6 abstracts included in the full-text examination. The full-text reading further excluded four studies because they did not focus on training in health needs assessment. Finally, two studies [ 41 , 42 ] were added to this scoping review, resulting in a total of 22 included studies.
An updated search was conducted on the 7th of March 2024, including publications from 2022 to 2024, following the procedure above. After removing duplicates, 173 titles and abstracts were screened for eligibility. The full texts of nine articles were read. Six studies were excluded because they did not include training for healthcare professionals. One had incorrect population, and the others were in a language other than English. This led to the inclusion of one new study [ 43 ], bringing the total number of included studies for the scoping review to 23.
Search results, study selection and inclusion process [ 39 ]
In line with the updated JBI methodological guidelines for scoping reviews [ 34 ], we extracted and coded descriptive details from the 23 included records. The extraction table covered the publication year, country of origin, study purpose, research design, study population, context/setting, training intervention content and assessment tools, pedagogical approaches and training duration, and outcomes for healthcare professionals and older adults. A test was conducted to ensure that the coauthors were aligned in their understanding of what type of data to extract for the table. Feedback from the test guided essential refinements to the extraction table before the authors collaborated to extract and organize pertinent information. We applied a basic thematic analysis to code the data and identify, analyze, and interpret patterns, ultimately deriving themes that addressed our research questions [ 44 , 45 ]. The analysis utilized NVivo 12 Pro software [ 46 ].
We performed a quality evaluation of the included studies via the Mixed Methods Appraisal Tool (MMAT) in blinded pairs. This tool is designed for a structured and standardized evaluation of methodological quality and risk of bias in systematic reviews that include qualitative, quantitative, and mixed methods studies [ 47 ]. Although quality evaluation is optional in a scoping review, it can provide valuable insights [ 48 ] and enhance the interpretability of the included studies [ 49 ].
All studies were evaluated according to five quality criteria specific to each research design (qualitative, quantitative descriptive, nonrandomized, randomized, and mixed methods studies). Each criterion received a response score of either “Yes,” indicating that the study met the quality criteria, or “No,” indicating that it did not meet the quality criteria or that it was unclear (see Table 4 ). It is discouraged to calculate an overall score. Any disagreements in scoring were resolved through discussion. The quality scores were not used to exclude articles from the review; instead, they were reported and discussed [ 49 ].
In accordance with the JBI scoping review guidance [ 44 ], the extracted data are presented in a table format (Tables 3 and 5 ) and a narrative summary is provided to respond to the three research questions. Table 3 provides a description of the study characteristics, while Table 5 outlines overarching categories along with relevant extracted information [ 44 ].
Table 3 shows that the 23 studies were published between 1990- and 2023. Eight studies were conducted in the United States [ 16 , 42 , 43 , 50 , 51 , 52 , 53 , 54 ], three in Canada [ 55 , 56 , 57 ], three in Australia [ 58 , 59 , 60 ], three in the United Kingdom [ 41 , 61 , 62 ], and one each in Ireland [ 63 ], Italy [ 64 ], Brazil [ 65 ], France [ 66 ], Singapore [ 67 ], and Belgium [ 68 ].
Ten studies meticulously examined training interventions tailored for primary nurses [ 43 , 50 , 51 , 54 , 55 , 60 , 61 , 63 , 66 , 68 ], one study specifically targeted the training of community health workers [ 65 ] and another presented an educational session tailored for case managers and agency supervisors [ 42 ]. The remaining studies indicated that training was provided to interprofessional teams or various distinct professions, such as nurses, physical therapists, occupational therapists, general practitioners, social workers and psychologists [ 16 , 41 , 52 , 53 , 56 , 57 , 58 , 59 , 62 , 64 , 67 ]. The study participants were in home healthcare or primary/community care [ 16 , 41 , 43 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 68 ], community and social services [ 42 , 64 ], mental health care [ 61 ], eldercare centers/daycare [ 67 ], residential settings [ 58 , 59 , 64 ], hospitals [ 53 , 56 ], rehabilitation [ 56 ] and acute care [ 61 ].
The quality appraisal procedure revealed variations in the quality of the 23 included studies. The detailed quality evaluation results for each study are presented in Table 4 , and an overview of the methodological quality criteria is presented in Additional file 3.
Each study was evaluated on five criteria appropriate to its study design category. Overall, only one study, which was a mixed methods study, met al.l five quality criteria in the MMAT [ 62 ]. Additionally, one mixed methods study met four criteria [ 61 ], and another met three criteria [ 65 ]. The most common criterion that mixed methods studies failed to meet was 5.2: whether the different components of the study were effectively integrated to answer the research question. Among the quantitative randomized studies, one study met four quality criteria [ 50 ], whereas the other was of low quality, meeting only one criterion [ 59 ]. None of these studies met the quality criterion for proper randomization. In the quantitative nonrandomized studies, six met four criteria [ 41 , 55 , 56 , 58 , 64 , 68 ], one met three [ 63 ], and one met only one criterion [ 16 ], indicating low quality. All studies met the criterion regarding whether the intervention was administered as intended. The most common criteria they failed to meet were 3.3: whether there were complete data and 3.4: whether confounders were accounted for in the study design and analysis. Among the descriptive studies, seven met four criteria [ 42 , 43 , 54 , 57 , 60 , 66 , 67 ], one met three criteria [ 53 ], and two met only one criterion [ 51 , 52 ], demonstrating low quality.
The majority of these studies met the criterion regarding whether the measurements were appropriate. However, the criterion most studies did not meet (only one out of ten) was whether the risk of nonresponse bias was low. Notably, no qualitative methods studies were included in our scoping review.
The next section presents a narrative overview of three major themes related to the three research questions. The themes concerned the training provided for healthcare professionals in assessing the physical, mental, and social health needs of older adults living at home: pedagogical approaches, content and foci of health needs assessment training for healthcare professionals and outcomes and evaluation of health needs assessment training for healthcare professionals and older adults living at home. The findings are summarized in Table 5 [ 44 ].
The included studies employed diverse pedagogical approaches to train healthcare professionals in assessing the health needs of older adults living at home. The spectrum of pedagogical approaches observed in the studies was categorized into teacher-driven and participant-engaging pedagogical approaches. Twenty-one studies [ 16 , 42 , 43 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 ] combined teacher-driven and participant-engaging pedagogical approaches, reflecting a multifaceted training strategy. Mayall et al. [ 41 ] opted for a more singular pedagogical approach, exclusively relying on lecture-based education, whereas the training method used in the Piau et al. [ 66 ] study remained unspecified. The training interventions varied in duration, from one-hour sessions [ 68 ] to an ongoing training program spanning 21 months [ 57 ]. In two studies, the specific duration of the training interventions was not specified [ 53 , 57 ]. The most common duration for training was 4–8 h [ 16 , 43 , 50 , 52 , 54 , 56 , 58 , 59 , 62 , 67 ].
Almost all studies utilized teacher-driven pedagogical approaches, including educational sessions, written materials or e-learning [ 16 , 41 , 42 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 ]. Educational sessions were evident in 14 studies [ 16 , 41 , 42 , 50 , 51 , 52 , 53 , 56 , 57 , 58 , 59 , 62 , 64 , 65 ], providing healthcare professionals with information about relevant topics through lectures [ 16 , 41 , 42 , 51 , 62 , 64 , 65 ], slides [ 16 , 64 ] and instructions [ 50 , 52 , 53 ], as well as demonstrations of the use of assessment tools [ 41 , 42 , 51 , 56 , 58 , 59 ]. Additionally, Abbasi et al. [ 57 ] and Quijano et al. [ 42 ] offered ongoing sessions during the post training implementation period.
Written materials were provided to the participants in nine studies [ 16 , 42 , 50 , 52 , 54 , 58 , 59 , 63 , 64 ]. This included training manuals containing examples and case studies [ 58 , 59 ], written documents about the training pack and the assessment forms [ 63 ], course textbooks and instruction manuals [ 64 ], educational materials including the program manual and articles [ 42 ], a CD-ROM (a data-disc for computer) containing written educational material [ 52 ] and toolkits derived from the educational material [ 16 , 50 , 54 ]. Brown et al. [ 54 ] reported that toolkits included key intervention components for seamless application of learned concepts [ 54 ]. Furthermore, some described follow-up emails to provide participants with information post training [ 50 , 54 ].
E-learning as a preplaying online module or videoclip appeared in nine studies [ 16 , 42 , 43 , 50 , 53 , 54 , 61 , 64 , 68 ]. Naughton et al. [ 61 ] delivered prerecorded lectures [ 61 ], Landi et al. [ 64 ] used video recordings presenting real cases to test participants’ assessments- and decision-making skills, and Quinlan and Ryer [ 43 ] offered online modules on aging epidemiology, fall risk factors, and age-friendly health systems [ 43 ]. Participants watched video recordings portraying late-life depression [ 42 , 53 , 54 ], and patient interactions illustrating approaches to depression assessment [ 50 , 54 , 68 ] via standardized questions and follow-up questions [ 16 ]. Professional actors were used in three studies [ 16 , 53 , 68 ].
The majority of the included studies utilized participant-engaging pedagogical approaches involving knowledge exchange or various forms of interactive learning [ 16 , 42 , 43 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 ].
Sixteen studies employed various forms of knowledge exchange such as discussion, questioning and coaching, between training participants and teachers [ 43 , 51 , 52 , 53 , 54 , 55 , 56 , 58 , 59 , 60 , 61 , 63 , 64 , 65 , 67 , 68 ]. Peer-to-peer learning and dialog facilitated the exchange of knowledge and insights [ 65 ], which enriched the overall learning experience [ 61 ]. The participants were included in discussions following lectures [ 55 ], after watching scripted videos [ 53 ], and during patient case reviews [ 56 , 67 ]. Additionally, three studies included both discussions and allowed participants questions [ 52 , 54 , 68 ]. Discussions allowed participants to delve into case management techniques [ 51 ], explore experiences related to assessing the health of older adults [ 54 , 60 , 64 ] and solve problems and discuss alternative strategies regarding depression screening [ 54 ]. A few studies have provided ongoing coaching in the post training phase to support healthcare professionals in applying newly acquired skills [ 42 , 55 , 57 ]. This included three months of feedback and support [ 42 ], mentorship for skill integration [ 57 ], and a six-month collaborative approach between resource staff and case managers involving home visits and clinical consultations [ 55 ].
Interactive training was employed in fifteen studies through skills training, role-playing, simulations, and hands-on training in real-world settings [ 16 , 42 , 43 , 51 , 52 , 54 , 55 , 57 , 58 , 59 , 60 , 62 , 63 , 64 , 65 ]. Skill training allows nurses to practice patient interviews and assessments and receive instructor feedback [ 54 ]. The participants practiced by assessing their colleagues’ health and responding to assessment [ 16 , 51 ], with faculty staff offering assistance, encouragement, and feedback throughout [ 51 ]. Landi et al. [ 64 ] provided practice exercises followed by presentations, and Quinlan and Ryer [ 43 ] provided a virtual training session in motivational interviewing technique and assessment. Roleplay as a teaching strategy was used to address practical aspects of administering depression screening [ 50 , 52 , 60 ], and Butler and Quayle [ 63 ] incorporated case scenarios, roleplay, and practical skills training for assessing depression in older adults [ 63 ]. Simulation training was used to immerse participants in the experience of living with sight and hearing impairments performing everyday tasks such as filling out forms or managing medications using sight impairment spectacles. Training was followed by a debriefing session [ 62 ]. Hands-on training in the assessment of older adults’ health in real-world settings was conducted in ten studies [ 42 , 51 , 54 , 55 , 57 , 58 , 59 , 60 , 64 , 65 ]. Healthcare professionals gained clinical experience through assessments of home dwelling older adults [ 55 , 58 , 59 , 60 , 64 , 65 ] and through participation in a rotational preceptorship for community health nurses. This enabled them to practice newly acquired assessment skills and collaborate in a real-life setting [ 51 ]. Additionally, two other studies emphasized practical training in communication with other professionals in real-world settings [ 58 , 59 ], while Brown et al. [ 54 ] encouraged participants to practice assessments in a real-world setting between educational sessions.
All the included studies offered insights into the content and foci of health neesd assessment training interventions for healthcare professionals. The studies were divided into those aimed at training healthcare professionals to understand and assess either single or multiple physical, mental, and social health needs in older adults living at home. Additionally, some training sessions focused on interprofessional collaboration.
The focus of twelve studies involved enhancing the skills of healthcare professionals in assessing, planning and conducting interventions for a specific, single health need in older adults, with each addressing either the assessment of mental or physical health [ 16 , 41 , 43 , 52 , 53 , 54 , 58 , 59 , 60 , 62 , 63 , 68 ]. Two of these studies [ 43 , 62 ] focused solely on physical health factor training. Smith et al. [ 62 ] emphasized training in assessing and detecting sight and hearing impairments without specifying whether any assessment tools were used [ 62 ]. Quinlan and Ryer [ 43 ] provided fall risk assessment training, which included the use of assessment tools to evaluate the physical function of older adults and to assess their home environments. The other ten studies [ 16 , 41 , 52 , 53 , 54 , 58 , 59 , 60 , 63 , 68 ] focused on training to assess depression in older adults living at home. The training encompassed understanding and detecting the condition, and all of them included the use of assessment tools. Van Daele et al. [ 68 ] included skills such as actively listening to patients and motivating them to seek expert assistance when needed. Delaney et al. [ 16 ] incorporated skills in asking follow-up questions, and Mellor et al. [ 59 ] offered training in appropriate communication with older adults to identify masked, early signs of depression.
Eleven studies [ 42 , 50 , 51 , 55 , 56 , 57 , 61 , 64 , 65 , 66 , 67 ] described training interventions for healthcare professionals aimed at assessing, planning, and conducting interventions for multiple health needs in older adults living at home. The training content ranged from learning to performing a holistic health assessment of older adults encompassing physical, mental, cognitive, and social factors [ 42 , 51 , 55 , 56 , 57 , 61 , 64 , 66 ] to a more nuanced assessment of two or three of these factors [ 50 , 65 , 67 ]. All studies described the use of assessment tools or checklists. A holistic assessment and understanding of older adults’ health context and needs enables interventions to be tailored to their health and care needs, priorities, and levels of frailty [ 57 ]. Within the realm of holistic assessment, only two of these studies addressed alcohol and medication usage [ 55 , 56 ], whereas two other studies focused on evaluating sensory status [ 57 , 66 ]. For studies with more nuanced assessment training, three studies [ 42 , 50 , 67 ] primarily tailored their training to focus on depression assessment and intervention in older adults, but Quijano et al. [ 42 ] also included training in assessing general physical health status, social function, and cognitive function. Sin et al. [ 67 ] included dementia assessment and Bruce et al. [ 50 ] addressed factors that commonly complicate depression in homecare patients, such as health conditions, disability in activities of daily living, and cognitive function. The training included how to ask follow-up questions and observe nonverbal language [ 50 ]. Neto et al. [ 65 ] provided training for healthcare professionals in rural areas to screen for geriatric risk factors such as caregiver overburden, general health, social health, risk of falling, or difficulties in activities of daily living.
Beyond the focus on training for assessing the health needs of older adults, sixteen studies [ 42 , 50 , 51 , 52 , 53 , 54 , 55 , 57 , 58 , 59 , 60 , 61 , 62 , 64 , 65 , 68 ] have incorporated training elements to increase interprofessional collaboration and communication skills among healthcare professionals. Health needs assessment training for interprofessional teams was evident in eight of the included studies [ 51 , 55 , 57 , 58 , 59 , 61 , 64 , 65 ]. Two studies [ 58 , 59 ] outlined an advanced session to teach skills for interacting with other healthcare providers, including general practitioners and mental health specialists, whereas Couser et al. [ 51 ] stressed the importance of effectively communicating the assessment results to physicians and other healthcare providers. Training in writing referrals was emphasized in ten studies [ 42 , 50 , 52 , 53 , 54 , 58 , 59 , 60 , 62 , 68 ]. In addition, Stolee et al. [ 55 ] trained healthcare professionals in writing reports and making recommendations to the referring case manager. Only two studies [ 61 , 65 ] included collaboration with family in their training programs. Naughton et al. [ 61 ] designed training programs to support healthcare professionals in navigating the complexities of collaboration with multidisciplinary teams, older adults, and their families. They also developed a network among nurses to facilitate the exchange of expertise, experience, and innovative ideas [ 61 ]. Neto et al. [ 65 ] aimed to increase the capacity of care workers to effectively collaborate with family caregivers and social services for dependent older adults in rural areas. Stolee et al. [ 55 ] provided training for case managers to extend this knowledge to their teams and strengthen connections with specialized geriatric services. Similarly, Abbasi et al. [ 57 ] emphasized team-based care delivery training, with active and holistic discussions among patients, caregivers, and interprofessional teams. Diverse skill sets within teams can effectively meet the holistic care needs of patients. In parallel, Piau et al. [ 66 ] focused on training nurses to collaborate with general practitioners to develop comprehensive care plans. Landi et al. [ 64 ] trained case managers who collaborated in supervised teams to assess older adults and present care plans. They watched videos of simulated team discussions to enhance their understanding of the assessment process and teamwork [ 64 ].
All of the studies provided insight into the experiences or outcomes of healthcare professionals participating in the training interventions. This included their satisfaction and experiences with health needs assessment training, improved confidence and competencies in health assessment and care planning and shifts in work practices. Additionally, some studies have reported outcomes for older adults following health needs assessment training, such as appropriate referrals, tailored interventions, fall prevention, symptom reduction, and improved overall function. The evaluation of these outcomes relied to a small extent on models or frameworks, with only three studies incorporating them [ 43 , 61 , 62 ]. Smith et al. [ 62 ] utilized Kirkpatrick’s four-level training evaluation model to assess the relevance and impact of educational intervention. Naughton et al. [ 61 ] adopted Alvarez et al.’s (2004) framework of an integral model of training evaluation and effectiveness. Quinlan and Ryer [ 43 ] presented their findings following the Revised Standards for Quality Improvement Reporting Excellence (SQUIRE) framework.
Ten studies provided insights into healthcare professionals’ experiences with participating in training interventions [ 16 , 41 , 43 , 54 , 55 , 56 , 60 , 61 , 62 , 65 ], where most of the participants expressed satisfaction with both the content and format of the courses. The participants in Brymer, Cormack and Spezowka [ 56 ] expressed a high level of satisfaction with the presenter’s content, pacing, and format, and in Mayall et al. [ 41 ], the training met the participants’ needs and expectations. The participants in Naughton et al. [ 61 ] particularly valued the peer-to-peer learning aspect, whereas Smith et al. [ 62 ] emphasized the effectiveness of simulations. Neto et al. [ 65 ] rated classroom sessions and supervised home visits very positively and found them useful. Furthermore, participants in four of the studies [ 16 , 60 , 61 , 65 ] offered suggestions to enhance the number of educational sessions. They suggested allocating more time for training [ 16 , 65 ], a greater focus on skills training [ 60 , 61 ], additional training in managing complex and technically challenging issues [ 65 ] and incorporating more time for case studies and discussions [ 16 ].
Improvements in assessment competencies following training interventions among healthcare professionals were reported in nineteen studies [ 16 , 41 , 42 , 51 , 52 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ]. Among these, nine studies explicitly reported increased confidence among healthcare professionals in assessing older adults’ health needs [ 16 , 41 , 54 , 55 , 58 , 59 , 63 , 67 , 68 ]. The health need sassessment and use of assessment tools or checklists led to the identification of health needs. Quinlan and Ryer [ 43 ] noted that without screening in a fall prevention program, the identification of fall risk among older adults would be missed. Piau et al. [ 66 ] noted that a high proportion of assessments effectively identified frailty and suggested interventions and referrals. One comment was that they “were previously skirting around the problem, now asked about mental health directly” [ 61 , p. 33]. Naughton et al. [ 61 ] reported that performing a comprehensive geriatric assessment helped when raising issues with general practitioners because they were talking about their language. Nunn, Annells and Sims [ 60 ] acknowledged the use of Geriatric Depression Screening (GDS) tool raised awareness of depression. A total of 62.5% felt that the GDS helped identify depression that might otherwise be overlooked, but some questioned its universal usefulness [ 60 ]. Abbasi et al. [ 57 ] reported that having an evaluation framework helped healthcare professionals guide meaningful measures [ 57 ]. Conversely, some participants also expressed that they relied more on observation than direct questions when assessing depression [ 54 ]. According to Landi et al. [ 64 ], careful assessments is deemed essential for effective care planning, and Stolee et al. [ 55 ] emphasize the critical role of assessment training in identifying health needs and equitably distributing community service resources. Two studies reported one year of retention of knowledge and skills without the inclusion of a refresher course [ 54 , 62 ].
Twenty studies documented a better understanding of appropriate interventions and referrals [ 16 , 41 , 42 , 50 , 51 , 52 , 53 , 55 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ]. According to Delaney et al. [ 16 ], 50% of the participants noted that a key aspect they learned was understanding the significance of the assessment results and the corresponding interventions [ 16 ]. The participants in the study by Neto et al. [ 65 ] demonstrated significantly improved capacity in responding to the health and care needs of older adults. The participant reported increased confidence in making referrals and consulting resources [ 51 ], increased knowledge about managing depression, making referrals, and accessing available local services [ 41 ] and enhanced self-efficacy in providing care for older adults [ 16 , 58 ]. Nunn, Annells and Sims [ 60 ] reported that 50% of participants felt prepared to address older adults’ depression after training. Smith et al. [ 62 ] observed increased referral practices and improved ability to advise patients about sensory services, whereas Mellor et al. [ 59 ] noted a slight increase over time in specialist referrals, and senior staff reported increased confidence in interacting with health specialists.
The training intervention resulted in either a change or potential for change in work practices in ten studies [ 16 , 42 , 43 , 52 , 53 , 55 , 57 , 62 , 63 , 64 ]. Butler and Quayle [ 63 ] reported that prior to receiving training, nurses did not utilize any formal assessment measures to screen for depression in older adults. However, following training, some nurses continue to use screening measures for depression in their clinical practice [ 63 ]. Similarly, case managers in Stolee et al. [ 55 ] stated that the major change in their assessment practice was greater consistency in the use of assessment tools. Smith et al. [ 62 ] reported a shift in practice toward incorporating more detailed information about patients’ impairments and implementing supportive strategies, and in Marcus et al. [ 53 ], communication of depression screening results to patients, physicians, or mental health specialists became a standard protocol.
Landi et al. [ 64 ] reported that training was proven feasible and may be implemented on a broader scale, and Luptak et al. [ 52 ] outlined an implementation period of the ADAPT—Assuring Depression Assessment and Proactive Treatment protocol for depression care in rural healthcare—with the potential to achieve the outlined goals in various clinical settings [ 52 ]. Delaney et al. [ 16 ] reported that project participants were interested in implementing the program in their homecare setting and developed a train-the-trainer model. Abbasi et al. [ 57 ] provided results and experiences regarding the Seniors Community Hub (SCH) through the ADKAR (awareness, desire, knowledge, ability, reinforcement) evaluation framework to assist others interested in implementing a similar integrated care model [ 57 ]. Quinlan and Ryer [ 43 ] stated that fall assessment practices are currently implemented and continuous; similarly, Quijano et al. [ 42 ] reported that depression interventions continue to be offered by participating agency offices. On the other hand, Butler and Quayle [ 63 ] noted the challenge of implementing assessment tools due to competing demands such as holidays, working part-time or being too busy, and Sin et al. [ 67 ] outlined one participant with difficulties in applying new knowledge owing to manpower shortages and constraints in time and space.
Seven studies [ 42 , 43 , 50 , 53 , 57 , 66 , 68 ] detailed outcomes for older adults following health needs assessment training for healthcare professionals. These outcomes included appropriate referrals, tailored interventions, fall prevention, symptom reduction, and improved overall function. Bruce et al. [ 50 ] highlighted that depressed older adults in the intervention group were more likely to receive appropriate referrals for mental health evaluation [ 50 ], aligning with findings where a minimal intervention significantly increased the detection of depression and further referrals to general practitioners [ 68 ]. The findings in two studies demonstrated that patients were referred to tailored resources designed to address their identified problems [ 53 , 57 ]. Furthermore, Quijano et al. [ 42 ] revealed that older adults’ awareness of seeking help and the significance of physical activity for maintaining health improved. Quinlan and Ryer [ 43 ] stated that after providing care plans to 83 older adults, most implemented fall prevention strategies during a two-week follow-up call with 29 older adults, with only one fall reported. Piau et al. [ 66 ] identified the main causes of frailty and reported effective intervention recommendations and referrals [ 66 ]. Most physicians in Stolee et al. [ 55 ] reported better general function for older adults due to comprehensive geriatric assessment. Findings in two studies [ 42 , 57 ] documented reductions in depression severity at the follow-up assessment due to appropriate referrals and interventions [ 42 , 57 ], and significantly more older adults felt better and experienced pain reduction, followed by increased activity [ 42 ]. Additionally, Abbasi et al. [ 57 ] reported a slight improvement in health-related quality of life, including mobility, usual activities, pain/discomfort, and anxiety and depression, suggesting enhanced function [ 57 ].
This scoping review provides insights into training interventions for healthcare professionals assessing the physical, mental, and social health needs of older adults living at home. The analysis of 23 studies revealed that nearly all training interventions used a multifaceted training strategy combining teacher-driven and participant-engaging pedagogical approaches to teach healthcare professionals theoretical and practical knowledge. Health needs assessment training focuses on the skills needed to conduct single or multiple health needs assessments in older adults. Interprofessional collaboration was an essential part of most training interventions. Multiple studies noted that participants were satisfied with the training content and had increased confidence and competencies in health needs assessment and care planning. Studies have also reported a shift in work practices for health care professionals and some included results have shown improved health outcomes for older adults.
Our study revealed that most of the included studies blended the use of teacher-driven and participant-engaging pedagogical approaches [ 16 , 42 , 43 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 ]. These approaches provide participants with confidence and competencies in health needs assessment [ 16 , 41 , 42 , 51 , 52 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 62 , 63 , 64 , 65 , 66 , 67 , 68 ]. Skilled healthcare professionals are crucial in facilitating the implementation of health assessments for older adults [ 69 ]. Lectures can be highly effective for learning, especially when they stimulate thinking and active engagement. Their effectiveness depends on the lecturer’s skill and can be improved by incorporating learner feedback, performance results, self-reflection, and peer feedback [ 70 ]. Another way to improve lecture quality is by including interactive elements such as practical skill training, following John Dewey’s “learning by doing” philosophy [ 32 ]. In our review, we identified fifteen studies that utilized participant-engaging approaches such as skills training, role-playing, simulations, hands-on training in real-world settings [ 16 , 42 , 43 , 51 , 52 , 54 , 55 , 57 , 58 , 59 , 60 , 62 , 63 , 64 , 65 ], and sixteen studies employed discussion, questioning and coaching [ 43 , 51 , 52 , 53 , 54 , 55 , 56 , 58 , 59 , 60 , 61 , 63 , 64 , 65 , 67 , 68 ]. The integration of teacher-driven sessions, interactive training, and knowledge exchange resembles simulation training, which typically includes briefing, simulation exercises, and debriefing phases. These phases allow participants to reflect, enhance their learning, and deepen their educational experience [ 71 ]. Debriefing is a valuable tool for reflecting on and discussing experiences in training and real-world settings. This helps individuals and teams identify strengths, areas for improvement, and lessons learned, thereby enhancing learning and future performance [ 72 ]. However, effective debriefing relies on facilitators with strong skills to maximize learning outcomes [ 73 ].
The WHO advocates interprofessional simulation training to enhance healthcare professionals’ competencies and improve patient outcomes [ 2 ]. Even if several studies combined teacher-driven approaches, interactive training and knowledge exchange, our review included only one study utilizing simulation training [ 62 ]. Health needs assessment training for interprofessional teams was evident in eight of the studies included in our review [ 51 , 55 , 57 , 58 , 59 , 61 , 64 , 65 ]. Such training has been proven to provide valuable insights into the health of older adults, leading to improved care delivery [ 74 , 75 ], improved patient outcomes [ 76 ] and reduced hospitalization [ 74 ]. It can improve conflict management skills and team functioning [ 76 ] and play a critical role in equitably distributing community service resources [ 55 ]. Interprofessional simulation training is an engaging method for training clinical skills, procedures, teamwork, and communication in a safe, realistic environment [ 77 ]. It promotes critical thinking, reflection [ 78 ], and effective learning [ 79 ] enhancing the application of knowledge in clinical practice [ 80 ]. The use of participant engaging pedagogical approaches aligns with the sociocultural view of training, which emphasizes active engagement and collaboration in the learning process. It enables knowledge exchange and reflection, and participants can integrate their experiences with new information, internalize it, and construct new knowledge [ 32 , 81 ]. Practical training such as simulations, can push participants out of their comfort zones, foster collaborative learning and enrich the educational experience [ 82 ]. However, to achieve optimal learning, it is crucial to balance skill development with an appropriate level of challenge as learners acquire new concepts. At the same time, temporary support from more experienced learners should be available. This balance is known as the zone of proximal development, which represents the space between a learner’s current skill level and their potential skill level with guidance. Tasks within this zone promote growth [ 83 ].
Our review reports a distinction in training content with a focus on assessing single versus multiple health needs in older adults. Ten studies [ 16 , 41 , 52 , 53 , 54 , 58 , 59 , 60 , 63 , 68 ] focused solely on assessing depression. There is a strong correlation between late-life depression and reduced quality of life, as well as comorbidities such as physical illness, disability [ 58 , 84 ] and physical frailty [ 85 , 86 ]. However, single health need assessment training may inadvertently lead to the overlooking of broader health needs among older adults. A multiple health assessment of older adults is recommended [ 7 ], as it can serve as the foundation for developing holistic interventions to enhance overall health [ 10 , 12 , 87 , 88 , 89 ], promote health [ 90 ], foster positive health behaviors [ 91 ], and reduce frailty [ 92 , 93 ]. Our review included eight studies [ 42 , 51 , 55 , 56 , 57 , 61 , 64 , 66 ] providing training in physical, cognitive, mental, and social health needs assessment, alongside care planning on the basis of these assessments. Research indicates that both healthcare professionals and frail older adults participating in an interdisciplinary care approach were satisfied with the improved structure of care and appreciated the emphasis on health promotion [ 94 ]. On the other hand, a comprehensive health needs assessment is a multifaceted and complex intervention, with uncertainties surrounding its effectiveness and underlying mechanisms [ 95 ]. Some research findings indicate that there is no conclusive evidence that it reduces disability, prevents functional decline [ 96 ], impacts mortality, or supports independent living in older adults [ 97 ]. These results underscore the complexity and challenges in conducting and implementing comprehensive health needs assessments and tailoring interventions to promote health in older adults.
Our review revealed that almost all [ 16 , 41 , 42 , 43 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 63 , 64 , 65 , 66 , 67 , 68 ] health needs assessment training programs included the use of assessment tools or checklists, leading to the identification of health needs. Only one of these studies reported that participants relied more on observation than on direct questioning when assessing depression [ 54 ]. Additionally, another study found that healthcare professionals using assessment tools felt that this approach led to asking overly personal and intrusive questions without first establishing trust or explaining the purpose of the assessment [ 98 ]. On the other hand, some older adults reported that using assessment tools made it difficult to discuss issues outside the predefined domains of the comprehensive health needs assessment [ 99 ]. Research indicates that current assessment practices heavily rely on professional judgment and intuition, and healthcare professionals in community settings often lack adequate knowledge and training regarding the health needs assessment of older adults [ 22 , 100 ]. This can be seen as problematic because these professionals are ideally positioned to assess older adults early in their health trajectories [ 105 ]. Proper assessment in these settings can facilitate the early recognition of functional decline [ 101 , 102 ] and vulnerability, enable timely intervention to mitigate frailty’s adverse effects [ 105 ], and support effective care planning [ 64 ]. Even if several healthcare professionals have endorsed the integration of frailty assessment tools into primary care [ 22 ], they need a simple, efficient assessment tool [ 105 ] that empowers them to identify older adults’ health needs [ 9 , 88 , 103 , 104 ]. This is particularly critical due to the essential role that assessments play in equitably distributing community service resources [ 105 ]. As such, this review underscores the importance of educating healthcare professionals in community care to effectively assess the physical, mental, and social health needs of older adults. Furthermore, understanding the learning process of healthcare professionals [ 78 ], evaluating the effects of training [ 106 ], and establishing evidence-based standards for skills training are crucial for high-quality teaching [ 107 ]. Additionally, further research is necessary to assess the feasibility, effectiveness, and acceptability of interprofessional interventions targeting multiple health needs aimed at health promotion [ 90 ] and experiences using comprehensive health assessment tools [ 108 ].
This review included studies employing various methods to obtain comprehensive insights into training healthcare professionals in assessing the health needs of older adults living at home [ 47 ]. We utilized a validated mixed-methods appraisal tool to assess the quality of the included studies [ 47 , 49 ]. We did not include reporting on screening questions regarding the clarity of the research question or whether the collected data addressed the research questions, as our review focused exclusively on empirical studies. Additionally, we chose not to calculate an overall score from the ratings of each criterion, as this practice is discouraged. We provide an overview of each study’s quality by presenting the ratings of each criterion [ 49 ]. Our findings revealed that only one study met all the quality criteria, fifteen studies met four criteria, three studies met three criteria, and four studies met only one criterion. High-quality studies employ rigorous and robust methods, leading to reliable and valid findings [ 109 ]. While most studies met 3–4 quality criteria, they provide a relatively strong evidence base and offer valuable insights, although some concerns remain. Several studies did not meet the quality criteria for nonresponse bias or complete outcome data. It is crucial to describe and evaluate a low response rate for its potential impact, as this can limit the generalizability of findings [ 110 ]. Many studies also failed to account for confounders in their design and analysis. Confounding factors may bias results by distorting the interpretation of findings [ 49 ], masking actual associations or creating false associations, potentially leading to incorrect conclusions [ 111 ]. The randomization of study subjects and rigorous statistical analyses can mitigate the impact of confounding variables [ 112 ]. Nonetheless, conducting a quality assessment increases awareness of these biases and limitations, thereby enhancing our confidence in the study findings.
Our scoping review has several limitations. Initially, our search strategy involved the use of six databases and various relevant search terms related to training healthcare professionals in assessing the health needs of older adults. We excluded gray literature to focus on mapping existing published research and identifying any research gaps. The search was conducted by an experienced librarian. Despite our efforts to comprehensively map the research literature, we may have overlooked some studies. Second, our exclusion criteria, which encompassed, for example, general practitioners, students, and institutional settings, restricted the scope of the study. Additionally, we focused on health needs assessment, excluding studies that assessed the environment, an important factor in enabling older adults to stay at home as long as possible. However, based on the findings and limitations of the included studies, we believe our review provides valuable insights into the research context. These findings can inform future research, practice, policymaking, and the development of training programs for healthcare professionals in community settings to assess older adults’ health needs.
Healthcare professionals require training in assessing physical, mental, and social health needs in older adults living at home to ensure tailored interventions that enhance their health and independence. Our study revealed that healthcare professionals were satisfied with the combination of participant-engaging and teacher-driven pedagogical approaches when training in physical, mental, and social health needs assessment. Such training is beneficial and strengthens healthcare professionals’ confidence and competency in assessment and care planning for older adults living at home. Additionally, some studies reported that following health needs assessment training, there was a shift in work practices and improved health outcomes for older adults. We suggest that health needs assessment training programs are valuable for improving health and care for older adults living at home and contribute to increased sustainability in healthcare.
Furthermore, we propose additional research on interprofessional simulation training for the structured assessment of multiple health needs in older adults, ensuring comprehensive coverage of all significant health issues in these assessments. We also recommend research on the implementation of such assessments and health promoting interventions.
No datasets were generated or analysed during the current study.
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The authors express gratitude to librarian Kari Hølland, Division of Research, Stavanger University Library for performing the systematic literature searches.
This article stems from the research project “More good days at home - Advancing health promoting practices in municipal healthcare services for older recipients of homecare” (HEIME), specifically related to Work Package 3, “Simulation and training for health needs assessment in home-living older adults”. HEIME is funded by the Research Council of Norway (grant 320622), University of Southeastern-Norway, University of Stavanger, Stavanger, Horten, Porsgrunn and Nome municipality (2021–2025). Dr. Grethe Eilertsen is the project director. Drs. Siri Tønnessen, Anette Hansen and Professor Marianne Storm are the principal researchers and work package leaders.
Open access funding provided by University of Stavanger & Stavanger University Hospital
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Bente Hamre Larsen & Marianne Storm
Faculty of Health Sciences, Department of Quality and Health Technology, University of Stavanger, Stavanger, Norway
Dagrunn Nåden Dyrstad & Peter Dieckmann
National Centre for Optics, Vision and Eye Care, Faculty of Health and Social Sciences, University of South-Eastern Norway, Kongsberg, Norway
Helle K. Falkenberg
USN Research Group of Older Peoples’ Health, University of South-Eastern Norway, Drammen, Norway
Center for Human Resources and Education, Copenhagen Academy for Medical Education and Simulation (CAMES), Capital Region of Denmark, Copenhagen, Denmark
Peter Dieckmann
Department of Public Health, Copenhagen University, Copenhagen, Denmark
Faculty of Health Sciences and Social Care, Molde University College, Molde, Norway
Marianne Storm
Research Department, Research Group of Nursing and Health Sciences, Stavanger University Hospital, Stavanger, Norway
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All authors (BHL, DND, HKF, PD and MS) contributed to the design and development of the study, research questions, and literature search. BHL conducted the literature search in collaboration with MS and research librarian. All authors participated in the screening and quality assessment processes. Data analysis and manuscript writing and preparation was led by BHL in collaboration with MS. All authors were involved in reading, commenting and reviewing the text, and approving the final manuscript.
Correspondence to Bente Hamre Larsen .
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Larsen, B.H., Dyrstad, D.N., Falkenberg, H.K. et al. Training healthcare professionals in assessment of health needs in older adults living at home: a scoping review. BMC Med Educ 24 , 1019 (2024). https://doi.org/10.1186/s12909-024-06014-9
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