Evidence map›Paper›PMID 34501787›Full record

ArticleInternational journal of environmental research and public health2021

Main Factors Determining the Economic Production Sustained by Public Long-Term Care Spending in Spain.

Fernando Bermejo, Raúl Del Pozo, Pablo Moya

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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. Value-Based Health Care: Long-Term Care Insurance for Out-of-Pocket Medical Expenses and Self-Rated Health.International journal of environmental research and public health · 2022
    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.

Fernando BermejoSchool of Social Sciences, Castilla-La Mancha University (UCLM), 16071 Cuenca, Spain.ORCID 0000-0003-0792-5674
Raúl Del PozoSchool of Social Sciences, Castilla-La Mancha University (UCLM), 16071 Cuenca, Spain.ORCID 0000-0002-9438-1857
Pablo MoyaSchool of Social Sciences, Castilla-La Mancha University (UCLM), 16071 Cuenca, Spain.ORCID 0000-0002-7093-9457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy reforms of 2012 introduced in Spain a set of austerity measures to emerge from the 2008 global recession. However, attaining the sustainability of the long-term care (LTC) system by reducing public spending overlooks the drawbacks of a lower demand to meet dependency needs. In this context, this study is intended to provide a deeper insight into the economic factors affecting the shifts in the industrial output sustained by LTC spending before and after the austerity measures adopted in 2012. To accomplish this, we first apply a model based on the Input-Output methodology to quantify the output arisen from the consumption demand to meet the dependency needs covered by LTC spending in 2009, 2012 and 2015. Using the results of this model, we carry out a Structural Decomposition Analysis to explore the main drivers of change in the Spanish economic production for 2009-2012 and 2012-2015. The findings reveal that LTC demand factors have proven more relevant than technology factors in increasing production for the two periods considered. Such findings might guide political decision-making on the management of the LTC system in Spain, showing that public LTC spending does not merely contribute to the welfare of dependents, but also may boost economic production.

Indexed as

Economic RecessionLong-Term CareHumansSpaineconomic crisislong-term carepublic spendingstructural analysis

Identifiers

PMID34501787
PMCPMC8431174

What OpenQuestion holds

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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.