Study | Country | Description | Data source | Sample | AHPs | Quality |
---|---|---|---|---|---|---|
Peer-reviewed studies | ||||||
Bennett (2019) [27] | Australia | Profile SP workforce practices and characteristics | Questionnaire | 145 SP | SP | 80% |
Bern-Klug (2013) [28] | US | Detail SW involvement in specific activities in RACFs | Questionnaire | 1071 RACFs | SW, SWA | 60% |
Bhuyan (2017) [29] | US | Explore the provision of rehabilitative services and organisational determinants in RACFs | Questionnaire | 31,134 RACFs | PT, OT | 100% |
Bonaccorsi (2015) [30] | Italy | Describe processes and outcome indicators of nutritional care in RACFs | Questionnaire | 67 RACFs; 2395 residents | D | 80% |
Buddingh (2013) [31] | Canada | Explore rehabilitation practices and barriers for residents with dementia post hip fracture in RACFs | Questionnaire | 42 AHPs | PT, OT, AHA | 60% |
Burger (2017) [32] | Germany | Describe nutritional care practises in RACFs | Questionnaire | 541 RACFs | D | 100% |
Enam (2013) [33] | US | Understand OT practice patterns in sleep management in RACFs | Questionnaire | 113 OT and OTAs | OT, OTA | 60% |
Engh (2021) [34] | Norway | Explore management of dysphagia in RACFs | Questionnaire | 121 RACFs | OT, PT, SP, SW, N | 60% |
Giesbracht (2012) [35] | Canada | Identify the extent of the need for wheelchair seating assessment in RACFs | Medical records | 11 RACFs; 263 residents | OT | 60% |
Hirdes (2011) [36] | Canada | Examine person level clinical data in RACFs | Administrative data | 54 RACFs; 129,168 residents | PT, OT, SP, Psych, RT | 100% |
Hsu (2016) [37] | Canada | Present longitudinal changes in staffing levels in RACFs | Administrative data | 627 RACFs | PT, OT, other therapy/ recreation staff (not specified) | 100% |
Hurley (2017) [38] | Ireland | Explore current diabetes management in RACFs | Questionnaire and interviews | 33 RACFs | D, P | 80% |
Kinley (2014) [39] | England | Identify care provided to dying residents in RACFs | Medical records | 38 RACFs; 2444 residents | AT, D, MT, PT, SP, SW, OT, P, Psych | 80% |
Koenig (2011) [40] | US | Explore RACF administrators’ perspectives of SW | Interview | 13 administrators | SW, SWA | 100% |
Lee (2011) [41] | South Korea | Explore factors which impact resident performance in activities of daily living | Administrative data | 358 RACFs; 14,369 residents | PT | 100% |
Liu (2015) [42] | US | Describe the use of music therapy by hospice patients | Administrative data | 4804 hospice patients | MT | 100% |
US | Examine the impact of AHP staffing on care quality and characterise RACFs associated with staffing patterns | Administrative data | 12,352 RACFs | PT, PTA, OT, OTA, SP | 100% | |
McArthur (2015) [46] | Canada | Describe the proportion- and characteristics of residents receiving AHP services | Administrative data | 87,869 residents | PT, OT | 100% |
McArthur (2018) [47] | Canada | Examine the impact of policy change on AHP staffing levels, activities of daily living, and care quality in RACFs | Administrative data | 589 RACFs | PT, OT, SP | 100% |
US | Understand trends in social service department staffing in RACFs including the impact of rurality | Administrative data | 15,936 RACFs | SW, SWA | 100% | |
Skinnars (2017) [50] | Sweden | Explore indicators associated with nutritional status and satisfaction in RACFs | Questionnaire and national registry | 162 municipalities | D | 80% |
Stargatt (2017) [51] | Australia | Explore access to psych services in RACFs | Questionnaire | 90 health professionals | SW, OT, Psych, DT | 40% |
Sterke (2021) [52] | Netherlands | Describe PT practice in RACFs | Questionnaire | 46 PTs | PT | 60% |
Temkin-Green (2019) [53] | US | Identify trends in therapy provision, particularly high intensity therapy, at end-of-life, and associated RACF characteristics | Administrative data | 647 RACFs; 5591 residents | PT, OT, SP | 100% |
Tyler (2013) [54] | US | Track staffing trends in RACFs | Administrative data | 14,331 RACFs | PT, AHA, OT | 80% |
Van Nie-Visser (2011) [55] | Germany, Netherlands | Compare nutritional care, structural indicators, and risk of malnutrition in RACFs between two health systems | Questionnaire | 151 RACFs; 10,771 residents | D | 80% |
Grey literature studies | ||||||
StewartBrown (2017, 2018, 2019, 2020, 2021) [56,57,58,59,60,61,62,63,64,65,66,67,68,69] | Australia | Quarterly financial report on the aged care sector | Questionnaire, administrative data | 135–1267 RACFs | D, PT, SP, OT, P, lifestyle officers, DT, AHA, other (not specified) | 66.7% |
Department of Health, Australian Government (2013, 2017, 2020) [70,71,72] | Australia | Aged care workforce census | Questionnaire | 1329–2952 RACFs | D, DT, PT, SW, SP, OT, P, Psych, AHA, EP, Other (not specified) | 100% |