Evidence map›Paper›PMID 35148771›Full record

ArticleBMC health services research2022

Older Europeans' experience of unmet health care during the COVID-19 pandemic (first wave).

Aida Isabel Tavares

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
12.5field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 41 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Aida Isabel TavaresISEG, Lisbon School of Economics and Management, Lisbon, Portugal. atavares@iseg.ulisboa.pt.
University of Lisbon · PT

Funding

NIA NIH HHS HHSN271201300071C
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic the utilization of health services has changed. People were living in a very different social, economic and epidemiological context. Unmet health care is expected to happen. The purposes of this work are i) to compare the differences between unmet care across countries, ii) to find the main factors which are associated with unmet health care, which includes giving up and postponing medical care, as well as denial of medical care provision by the health services, and iii) to determine if health systems' characteristics and government decisions on lockdown were related to unmet care.

methodsWe have used the most recent dataset collected by the SHARE-COVID Survey during the summer of 2020. These data cover all EU countries and are applied to people over 50. We have estimated a set of logistic regressions to explain unmet health care.

resultsThe results indicate that women, people who are slightly younger, with higher education and income, who find it hard to make ends meet each month, and people with poorer health were more likely to experience unmet health care. We also found that in health systems with high out-of-pocket payments people are more likely to give up health care while in countries with previous high levels of unmet health needs this likelihood was the opposite; people in countries with a high number of beds per capita and with a Beveridge-type health system were reporting less postponement of health care.

conclusionSome policy measures may be suggested such as social and economic measures to mitigate loss of income, expansion of the points and forms of access to health care to improve utilisation.

Indexed as

COVID-19Communicable Disease ControlFemaleHealth Services AccessibilityHealth Services Needs and DemandHumansPandemicsSARS-CoV-2COVID-19 pandemicEuropeSHAREUnmet health care

Identifiers

PMID35148771
PMCPMC8840072
OpenAlexW4211017436

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.