Evidence map›Paper›PMID 32532229›Full record

ArticleBMC public health2020

Assessing horizontal equity in health care utilization in Iran: a decomposition analysis.

Farideh Mostafavi, Bakhtiar Piroozi, Paola Mosquera, Reza Majdzadeh, Ghobad Moradi

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

5 authors.

Farideh MostafaviSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Bakhtiar PirooziSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Paola MosqueraDepartment of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Reza MajdzadehSchool of Public Health and Institute of Public Health Research, Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran.
Ghobad MoradiSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran. moradi_gh@yahoo.com.ORCID http://orcid.org/0000-0003-2612-6528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the goal of horizontal equity in Iran, little is known about it. This study aimed i) to assess socioeconomic inequality and horizontal inequity in the healthcare utilization; and ii) to explore the contribution of need and non-need variables to the observed inequalities.

methodsThis study used national cross sectional dataset from Utilization of Health Services survey in 2015. Concentration Index (C), Concentration Curve (CC) and Horizontal Inequity index (HI) were calculated to measure inequality in inpatient and outpatient health care utilization. Decomposition analysis was used to determine the contribution of need and non-need factors to the observed inequalities.

resultResults showed the pro-poor inpatient services in both rural (C = - 0.079) and non-rural areas (C = - 0.096) and the pro-rich outpatient services in both rural (C = 0.038) and non-rural (C = 0.007). After controlling for need factors, HI was positive and significant for outpatient services in rural (HI = 0.039) and non-rural (HI = 0.008), indicating that for given need, the better off especially in rural make greater use of outpatient services. The HI was pro-poor for inpatient services in both rural (HI = - 0.068) and non-rural (HI = -0.090), was significant only in non-rural area. Non-need factors were the most important contributors to explain inequalities in the decomposition analysis.

conclusionDisentangle the different contribution of determinants, as well as greater HI in rural areas for outpatient and in non-rural areas for inpatient services, provide helpful information for decision makers to re-design policy and re-distribute resource allocation in order to reduce the socioeconomic gradient in health care utilization.

Indexed as

AdultCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Services AccessibilityHumansIranMaleMiddle AgedRural PopulationSocioeconomic FactorsSurveys and QuestionnairesUrban PopulationHealth inequalitiesHEALTH SERVICESSOCIAL INEQUALITIESSOCIO-ECONOMIC

Identifiers

PMID32532229
PMCPMC7291751

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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.