ArticleBMJ open2016
Algorithm for predicting death among older adults in the home care setting: study protocol for the Risk Evaluation for Support: Predictions for Elder-life in the Community Tool (RESPECT).
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02779309 (An Algorithm for Predicting Death Among Older Adults in the Home Care Setting), which is not on this map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
An Algorithm for Predicting Death Among Older Adults in the Home Care Setting: Study Protocol for the Risk Evaluation for Support: Predicting Elder Life in the Community Tool (RESPECT)
Who cites it
10 citing papers in PubMed, 28 citations in OpenAlex.
- Identifying individuals who could benefit from a palliative approach to their care using a multi-phase, consultative, iterative approach.BMC palliative care · 2026Article
- Indicators of mortality risk in ageing horses.GeroScience · 2025Article
- Exploring perceptions of online calculators for identifying community-dwelling older people at risk of dying: A qualitative study.PEC innovation · 2024Article
- Impact of patient-family physician language concordance on healthcare utilisation and mortality: a retrospective cohort study of home care recipients in Ontario, Canada.BMJ public health · 2024Article
- Resting respiration rate predicts all-cause mortality in older outpatients.Aging clinical and experimental research · 2022Article
- Predictors of Mortality in Home Health Care Service: Data from Saudi Arabia.Journal of multidisciplinary healthcare · 2022Article
- Predicting death in home care users: derivation and validation of the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT).CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2021Article
- Observational
- The impact of hospital language on the rate of in-hospital harm. A retrospective cohort study of home care recipients in Ontario, Canada.BMC health services research · 2020Article
- Associations with rates of falls among home care clients in Ontario, Canada: a population-based, cross-sectional study.BMC geriatrics · 2020Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionOlder adults living in the community often have multiple, chronic conditions and functional impairments. A challenge for healthcare providers working in the community is the lack of a predictive tool that can be applied to the broad spectrum of mortality risks observed and may be used to inform care planning.
objectiveTo predict survival time for older adults in the home care setting. The final mortality risk algorithm will be implemented as a web-based calculator that can be used by older adults needing care and by their caregivers.
designOpen cohort study using the Resident Assessment Instrument for Home Care (RAI-HC) data in Ontario, Canada, from 1 January 2007 to 31 December 2013.
participantsThe derivation cohort will consist of ∼437 000 older adults who had an RAI-HC assessment between 1 January 2007 and 31 December 2012. A split sample validation cohort will include ∼122 000 older adults with an RAI-HC assessment between 1 January and 31 December 2013.
main outcome measuresPredicted survival from the time of an RAI-HC assessment. All deaths (n≈245 000) will be ascertained through linkage to a population-based registry that is maintained by the Ministry of Health in Ontario. STATISTICAL ANALYSIS: Proportional hazards regression will be estimated after assessment of assumptions. Predictors will include sociodemographic factors, social support, health conditions, functional status, cognition, symptoms of decline and prior healthcare use. Model performance will be evaluated for 6-month and 12-month predicted risks, including measures of calibration (eg, calibration plots) and discrimination (eg, c-statistics). The final algorithm will use combined development and validation data. ETHICS AND DISSEMINATION: Research ethics approval has been granted by the Sunnybrook Health Sciences Centre Review Board. Findings will be disseminated through presentations at conferences and in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT02779309, Pre-results.
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