Evidence map›Paper›PMID 31766998›Full record

ArticleBMC health services research2019

Small is beautiful? Explaining resident satisfaction in Swedish nursing home care.

Douglas Spangler, Paula Blomqvist, Ylva Lindberg, Ulrika Winblad

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Douglas SpanglerDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden. douglas.spangler@pubcare.uu.se.ORCID http://orcid.org/0000-0001-6775-5051
Paula BlomqvistDepartment of Government, Uppsala University, Box 514, 751 20, Uppsala, Sweden.
Ylva LindbergDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden.
Ulrika WinbladDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden.

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2014-05134
6 · The paper itself

Abstract

backgroundResident satisfaction is an important aspect of nursing home quality. Despite this, few studies have systematically investigated what aspects of nursing home care are most strongly associated with satisfaction. In Sweden, a large number of processual and structural measures are collected to describe the quality of nursing home care, though the impact of these measures on outcomes including resident satisfaction is poorly understood.

methodsA cross-sectional analysis of data collected in two nationally representative surveys of Swedish eldercare quality using multi-level models to account for geographic differences.

resultsOf the factors examined, nursing home size was found to be the most important predictor of resident satisfaction, followed by the amount of exercise and activities offered by the nursing home. Measures of individualized care processes, ownership status, staffing ratios, and staff education levels were also weakly associated with resident satisfaction. Contrary to previous research, we found no clear differences between processual and structural variables in terms of their association with resident satisfaction.

conclusionsThe results suggest that of the investigated aspects of nursing home care, the size of the nursing home and the amount activities offered to residents were the strongest predictors of satisfaction. Investigation of the mechanisms behind the higher levels of satisfaction found at smaller nursing homes may be a fruitful avenue for further research.

Indexed as

AgedCross-Sectional StudiesHomes for the AgedHumansNursing HomesPatient SatisfactionSwedenEldercareNursing homeQualitySatisfactionSweden

Identifiers

PMID31766998
PMCPMC6878673

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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.