Evidence map›Paper›PMID 34917196›Full record

ArticleZdravstveno varstvo2021

Development Dynamics of Health and Social Infrastructure for the Long-term Care - the Case of the Posavje Region.

David Bogataj, Marija Bogataj, Marta Kavšek

Abstract read
In one paragraph

Article in Zdravstveno varstvo, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

David BogatajUniversity of Ljubljana, Faculty of Economy, Kardeljeva pološčad 17, 1000 Ljubljana, Slovenia.
Marija BogatajUniversity of Ljubljana, Faculty of Economy, Kardeljeva pološčad 17, 1000 Ljubljana, Slovenia.
Marta KavšekInstitute INRISK, Kidričeva 1, 8210 Trebnje, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe populations of rural areas across Europe, especially Slovenia, are ageing rapidly and the areas themselves are becoming depopulated. Therefore, this study aims to contribute to our understanding of the population dynamics and provide a method for forecasting housing and other long-term care needs.

methodThe surveys questioned those responsible for long-term care, the caretakers in institutional care, and current and potential homecare users in rural areas of Slovenia. We wanted to discover what they considered as crucial in the process of long-term care deinstitutionalization. Our 2020-2050 projections are based on the surveys conducted across 38 municipalities in the Eastern Slovenian region and an in-depth empirical study in Posavje. The results are embedded in the demographic projections and the multistate transition model of the declining functional capacities to forecast the needed housing facilities and human resources.

resultsThe results are the time series of required capacities. Around 60% of respondents in Slovenian rural areas believe that even a better organization of homecare would not allow them to stay at home until death due to inadequately built housing and the absence of a continuous presence of caregivers. These findings were included in the projections. Therefore, community care in the network of Smart Silver Villages was proposed. DISCUSSION: Investments are needed to renovate the housing stock of older adults and construct sheltered, assisted living housing and specialized households in the community. Moreover, proper education and training of human resources would increase the output. In addition, financial solutions are advised to develop Smart Silver Villages.

Indexed as

ageingbuilt environmentgerontologylong-term caresilver villagessocial infrastructure

Identifiers

PMID34917196
PMCPMC8643109

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.