The Association of Service Use and Other Client Factors with the Time to Transition from Home Care to Facility-Based Care

Tate, Kaitlyn; Hoben, Matthias; Grabusic, Carmen; Bailey, Stephanie; Cummings, Greta G.

doi:10.1016/j.jamda.2021.06.027

Cited by 4 publications

(2 citation statements)

References 43 publications

(47 reference statements)

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“…The laboratory data, including age, sex, specimen collection information (location, and date), and the interpreted result (being symptomatic) were retrieved from the Alberta health services enterprise data warehouse (EDW) 22 , 23 . The specimen collection location based on date and the residency information were accessed through Alberta continuing care information system (ACCIS) 24 , 25 . Outpatient data, including previous ambulatory visits, previous procedures, and specimen collection locations based on data were accessed from the national ambulatory care reporting system (NACRS) 26 , 27 .…”

Section: Methodsmentioning

confidence: 99%

Machine learning risk estimation and prediction of death in continuing care facilities using administrative data

Shahidi,

Rennert-May,

D’Souza

et al. 2023

Sci Rep

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In this study, we aimed to identify the factors that were associated with mortality among continuing care residents in Alberta, during the coronavirus disease 2019 (COVID-19) pandemic. We achieved this by leveraging and linking various administrative datasets together. Then, we examined pre-processing methods in terms of prediction performance. Finally, we developed several machine learning models and compared the results of these models in terms of performance. We conducted a retrospective cohort study of all continuing care residents in Alberta, Canada, from March 1, 2020, to March 31, 2021. We used a univariable and a multivariable logistic regression (LR) model to identify predictive factors of 60-day all-cause mortality by estimating odds ratios (ORs) with a 95% confidence interval. To determine the best sensitivity–specificity cut-off point, the Youden index was employed. We developed several machine learning models to determine the best model regarding performance. In this cohort study, increased age, male sex, symptoms, previous admissions, and some specific comorbidities were associated with increased mortality. Machine learning and pre-processing approaches offer a potentially valuable method for improving risk prediction for mortality, but more work is needed to show improvement beyond standard risk factors.

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Section: Methodsmentioning

confidence: 99%

Machine learning risk estimation and prediction of death in continuing care facilities using administrative data

Shahidi,

Rennert-May,

D’Souza

et al. 2023

Sci Rep

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“…Appropriate investment in home care to meet this demand requires a broad understanding of home care service delivery and client pathways once on the service. However, home care studies often do not fully explore the pathways of home care clients since they are focused on singular trajectories of clients, such as long-term care (LTC) [ 17 ] or assisted living placement [ 20 ]. Little research addresses the multiple trajectories that clients will take while on a home care caseload.…”

Section: Introductionmentioning

confidence: 99%

Inter-provincial variation in older home care clients and their pathways: a population-based retrospective cohort study in Canada

et al. 2023

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Background In Canada, publicly-funded home care programs enable older adults to remain and be cared for in their home for as long as possible but they often differ in types of services offered, and the way services are delivered. This paper examines whether these differing approaches to care shape the pathway that home care clients will take. Older adult client pathways refer to trajectories within, and out of, the home care system (e.g., improvement, long term care (LTC) placement, death). Methods A retrospective analysis of home care assessment data (RAI-HC was linked with health administrative data, long-term care admissions and vital statistics in Nova Scotia Health (NSH) and Winnipeg Regional Health Authority (WRHA). The study cohort consists of clients age 60 + years, admitted to home care between January 1, 2011 to December 31, 2013 and up to four years from baseline. Differences in home care service use, client characteristics and their pathways were tested across the two jurisdictions overall, and among the four discharge streams within jurisdictions using t-tests and chi-square tests of significance. Results NS and WHRA clients were similar in age, sex, and marital status. NS clients had higher levels of need (ADL, cognitive impairment, CHESS) at base line and were more likely discharged to LTC (43% compared to 38% in WRHA). Caregiver distress was a factor correlated with being discharged to LTC. While a third remained as home care clients after 4 years; more than half were no longer in the community – either discharged to LTC placement or death. Such discharges occurred on average at around two years, a relatively short time period. Conclusions By following older clients over 4 years, we provide enhanced evidence of client pathways, the characteristics that influence these paths, as well as the length of time to the outcomes. This evidence is central to identification of clients at risk in the community and aids in planning for future home care servicing needs that will allow more older adults to remain living in the community.

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Technology-Based Interventions to Address Social Isolation and Loneliness Among Informal Dementia Caregivers: A Scoping Review

Mao,

Qi,

Chi

et al. 2023

Journal of the American Medical Directors Association

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The Association of Service Use and Other Client Factors with the Time to Transition from Home Care to Facility-Based Care

Cited by 4 publications

References 43 publications

Machine learning risk estimation and prediction of death in continuing care facilities using administrative data

Machine learning risk estimation and prediction of death in continuing care facilities using administrative data

Inter-provincial variation in older home care clients and their pathways: a population-based retrospective cohort study in Canada

Technology-Based Interventions to Address Social Isolation and Loneliness Among Informal Dementia Caregivers: A Scoping Review

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