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2019
DOI: 10.9778/cmajo.20180086
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Regional variations of care in home care and long-term care: a retrospective cohort study

Abstract: became an employee of Novartis after this article was submitted for publication but before revisions were undertaken. No other competing interests were declared. This article has been peer reviewed.

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Cited by 8 publications
(13 citation statements)
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“…We adjusted outcomes for age, sex, marital status, Activities of Daily Living Hierarchy Scale score, Cognitive Performance Scale score, diagnosis (binary variables for chronic obstructive pulmonary disease, pneumonia, diabetes, arthritis, renal failure, urinary tract infection, Alzheimer’s dementia and related dementias, heart failure, cancer and depression), day of stay, functional improvement potential, facility size, and province. We chose covariates on the basis of their expected associations with one or more of the outcomes states we modelled [ 3 , 28 , 29 ]. We only retained covariates that had significant associations with at least one outcome of interest in the models we used.…”
Section: Methodsmentioning
confidence: 99%
“…We adjusted outcomes for age, sex, marital status, Activities of Daily Living Hierarchy Scale score, Cognitive Performance Scale score, diagnosis (binary variables for chronic obstructive pulmonary disease, pneumonia, diabetes, arthritis, renal failure, urinary tract infection, Alzheimer’s dementia and related dementias, heart failure, cancer and depression), day of stay, functional improvement potential, facility size, and province. We chose covariates on the basis of their expected associations with one or more of the outcomes states we modelled [ 3 , 28 , 29 ]. We only retained covariates that had significant associations with at least one outcome of interest in the models we used.…”
Section: Methodsmentioning
confidence: 99%
“…We used multistate Markov models to examine the odds of transitions in health status over time and identify factors that influence these changes. We have previously used and described these methods elsewhere (10,23,29). Figure 2 is a state-space diagram for home care.…”
Section: Methodsmentioning
confidence: 99%
“…Health instability was measured with the CHESS (Changes in Health and End-stage disease Signs and Symptoms) scale, embedded in the RAI-HC and other interRAI instruments (see Box 1). The CHESS scale thus reflects the risk of adverse events related to acutely decompensated frailty, with higher scores shown to predict hospitalization and mortality among home care and long-term care clients, including those with HF (10,(22)(23)(24)(25). We ascertained the other outcomes, including death, using HCRS, DAD, and NACRS variables in respective care settings.…”
Section: Outcomes Of Interestmentioning
confidence: 99%
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