Evidence map›Paper›PMID 40928626›Full record

ArticleEuropean geriatric medicine2025

Predictors of change in sleep disturbance in Canadian long-term care facilities: a longitudinal analysis based on interRAI assessments.

Nasir Wabe, Lisa Geyskens, Jae Yoon Yi, Edoardo Varratta, Alcina Matos Queirós, Luke Andrew Turcotte, Andrew Costa, John P Hirdes

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Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nasir WabeAustralian Institute of Health Innovation, Macquarie University, Sydney, Australia. nasir.wabe@mq.edu.au.ORCID http://orcid.org/0000-0002-9740-6319
Lisa GeyskensDepartment of Public Health and Primary Care, Gerontology and Geriatrics, KU Leuven, Louvain, Belgium.
Jae Yoon YiDepartment of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Edoardo VarrattaUniversità Cattolica del Sacro Cuore, Rome, Italy.
Alcina Matos QueirósDepartment of Health and Social Welfare, Vaud, 1018, Lausanne, Switzerland.
Luke Andrew TurcotteDepartment of Health Sciences, Brock University, St. Catharines, ON, Canada.
Andrew CostaFaculty of Health Sciences, McMaster University, Hamilton, Canada.
John P HirdesSchool of Public Health Sciences, University of Waterloo, Waterloo, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSleep disturbance is prevalent in long-term care facilities (LTCFs), yet there is limited understanding of individual factors predicting changes in sleep within these populations. Our objective was to determine predictors of sleep disturbance in LTCFs and investigate variation in prevalence across facilities in two Canadian provinces-New Brunswick and Saskatchewan.

methodThis retrospective longitudinal cohort study used interRAI comprehensive health assessment data from 2016 to 2021, encompassing 21,394 older adults aged ≥ 65 years across 228 LTCFs. Generalised estimating equations were used to determine predictors of sleep disturbance, with separate models for new and resolved sleep disturbance. Funnel plots were employed to assess facility-level variation, with facilities exceeding the 99.8th percentile control limit identified as outliers.

resultsThe overall prevalence of sleep disturbance was 21.7%, with rates ranging from 3 to 56% across facilities, and 8% of facilities showing outlying rates. Nine predictors were significantly associated with the onset of new sleep disturbance, including being a male, being newly admitted, cognitive impairment, pain, daytime sleeping, chronic obstructive pulmonary disease, coronary heart disease, antipsychotics use, and sedative-hypnotics use. Significant predictors of resolved sleep disturbance were stroke, polypharmacy, and being newly admitted. Conversely, lower odds of resolved sleep disturbance were observed among daytime sleepers and residents taking sedative-hypnotics.

conclusionThis study underscores the high prevalence and variation of sleep disturbance in LTCFs, highlighting potential modifiable risk factors for improvement. Further research is needed to explore the interplay of institutional, environmental, and individual factors to develop targeted interventions that enhance the quality of care in LTCFs.

Indexed as

Long-Term CareNursing HomesSleep Wake DisordersAgedAged, 80 and overCanadaFemaleHumansLongitudinal StudiesMaleNew BrunswickPrevalenceRetrospective StudiesRisk FactorsSaskatchewanAssessmentCare planningOutcomesPerformance measurementQuality of care

Identifiers

PMID40928626
PMCPMC12743656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.