Evidence map›Paper›PMID 37620838›Full record

ArticleBMC geriatrics2023

Predictors of long-term care use - informal home care recipients versus private and public facilities residents in Poland.

Małgorzata Wrotek, Małgorzata Kalbarczyk

Abstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Declining demands or constraining supply? Explaining the trend of care home entry in England 2001-2021.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
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

2 authors.

Małgorzata WrotekFaculty of Economic Sciences, University of Warsaw, Długa 44/50, Warsaw, 00-241, Poland. mwrotek@wne.uw.edu.pl.ORCID http://orcid.org/0000-0003-1450-3509
Małgorzata KalbarczykFaculty of Economic Sciences, University of Warsaw, Długa 44/50, Warsaw, 00-241, Poland.ORCID http://orcid.org/0000-0002-9431-1947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe population aging, together with the shrinking caring potential of families, is a major challenge for social policy in the coming years. The aim of the study is to identify the factors that determine not only the use of long-term care (LTC) but also the selection of individual types of such care in Poland.

methodsUsing unique data collected from inpatient LTC facilities in Poland and the Survey on Health, Ageing and Retirement in Europe (SHARE) database, we estimate logistic regressions explaining the choice of LTC solution.

resultsOur results suggest that social inequalities play a role in choosing the type of LTC. Better educated people choose private institutions, while people without support network use more often social residential homes. The impact of multimorbidity on choosing different types of inpatient facilities is limited, thus the number of ADL limitations remains a better indicator of long term care utilization.

conclusionsThe study confirms that social inequalities influence decisions about the choice of LTC. However, multi-morbidity is a predictor of using LTC to a limited extent. The differences in LTC selection determinants between women and men are noticeable.

Indexed as

Home Care ServicesLong-Term CareEuropeFemaleHumansMalePolandPublic FacilitiesAndersen's behavioral modelInformal careLong-term carePoland

Identifiers

PMID37620838
PMCPMC10463875

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.