Evidence map›Paper›PMID 33643939›Full record

ArticleIranian journal of public health2020

The Unmet Healthcare Needs: Evidence from Serbia.

Milos Mitrasevic, Snezana Radovanovic, Svetlana Radevic, Milena Maricic, Ivana Zivanović Macuzic, Tatjana Kanjevac

Abstract read
In one paragraph

Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Milos MitrasevicDepartment for Organization, Planning, Evaluation and Medical Informatics, Clinical Center Kragujevac, Kragujevac, Serbia.
Snezana RadovanovicDepartment of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Svetlana RadevicDepartment of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Milena MaricicHigh Medical College of Professional Health Studies, Belgrade, Serbia.
Ivana Zivanović MacuzicDepartment of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Tatjana KanjevacDepartment of Dentistry, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to determine the socio-economic factors associated with unmet healthcare needs of the population aged 20 and over in Serbia.

methodsWe used data from the 2013 National Health Survey (NHS) of the population of Serbia. We focused only on the data concerning the population aged 20 and over. The final sample thus included 13,765 participants. The logistic regression was used to examine the socio-economic factors associated with unmet health care needs.

resultsAccording to the data obtained in this study, 26.2% of the population aged 20 and over reported unmet health care needs during the previous 12 months. The multivariate analysis shows that significant indicators of unmet healthcare needs include: gender, age, marital status, level of education, financial and employment status.

conclusionFemales, the elderly and those with the lowest levels of education and household income, as well as those who are divorced and unemployed are at highest risk of unmet healthcare needs. Different policies and approaches should be taken into consideration when it comes to vulnerable population groups in order to reduce the currently existing gaps to a minimum and provide more equal opportunities for health care to all citizens.

Indexed as

National health surveySerbiaSocioeconomic inequalitiesUnmet healthcare needs

Identifiers

PMID33643939
PMCPMC7898096

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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.