Evidence map›Paper›PMID 33161901›Full record

ArticleBMC health services research2020

The relationship of nursing home price and quality of life.

Sarah Raes, Sophie Vandepitte, Delphine De Smedt, Herlinde Wynendaele, Yannai DeJonghe, Jeroen Trybou

Abstract read
In one paragraph

Article in BMC health services research, 2020. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sarah RaesDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium. sarah.raes@ugent.be.ORCID http://orcid.org/0000-0002-5464-6259
Sophie VandepitteDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Delphine De SmedtDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Herlinde WynendaeleDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Yannai DeJongheDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.
Jeroen TrybouDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge about the relationship between the residents' Quality of Life (QOL) and the nursing home price is currently lacking. Therefore, this study investigates the relationship between 11 dimensions of QOL and nursing homes price in Flemish nursing homes.

methodsThe data used in this cross-sectional study were collected by the Flemish government from years 2014 to 2017 and originates from 659 Flemish nursing homes. From 2014 to 2016, data on the QOL of 21,756 residents was assessed with the InterRAI instrument. This instrument contains 11 QOL dimensions. Multiple linear regression analyses were conducted to examine the research question.

resultsThe multiple linear regressions indicated that a 10 euro increase in the daily nursing home price is associated with a significant decrease (P <  0.001) of 0.1 in 5 dimensions of QOL (access to services, comfort and environment, food and meals, respect, and safety and security). Hence, our results indicate that the association between price and QOL is very small. When conducting a subgroup analysis based on ownership type, the earlier found results remained only statistically significant for private nursing homes.

conclusionOur findings show that nursing home price is of limited importance with respect to resident QOL. Contrary to popular belief, our study demonstrates a limited negative effect of price on QOL. Further research that includes other indicators of QOL is needed to allow policymakers and nursing home managers to improve nursing home residents' QOL.

Indexed as

Quality of LifeAttitude to HealthBelgiumCross-Sectional StudiesFemaleHumansLinear ModelsMaleNursing HomesQuality of Health CareSurveys and QuestionnairesInterRAINursing homesOwnership typePriceQuality of life

Identifiers

PMID33161901
PMCPMC7650205

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.