Evidence map›Paper›PMID 35999541›Full record

ArticleBMC health services research2022

Inequality in households' access to primary health care (PHC): a case study in Kerman, southeast Iran.

Hamed Rahimi, Reza Goudarzi, Somayeh Noorihekmat, AliAkbar Haghdoost, Fatemeh Khodabandeh

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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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Hamed RahimiStudents Research Committee, Kerman University of Medical Sciences, Kerman, Iran. s.hamedrahimi68@gmail.com.
Reza GoudarziHealth Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Somayeh NoorihekmatHealth Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
AliAkbar HaghdoostModeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Fatemeh KhodabandehStudents Research Committee, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFair access to health services is a vital issue in low-and middle-income countries. Therefore, the present study was conducted to evaluate the equity in access to primary health care (PHC) services in southeastern Iran.

methodsThis household-based survey was conducted on 1128 households in Kerman, southeastern Iran in 2019-20. A multistage probability method was used to select the samples. The online questionnaire was designed and its link was provided to the questioners. After receiving the training, the questioners went to the door according to the sampling guide. The collected data were analyzed at a significance level of 0.05, using the STATA software. The concentration index (CI) was also used to measure inequality in access to PHC services.

resultsThe results showed that there was a significant difference between gender and location in access to PHC services (P < 0.05). However, no significant difference was found between the access rates to PHC services and the variables of age, marital, education, health insurance, and Supplementary insurance (P > 0.05). The mean rate of access to PHC services was 3.51 ± 0.53. Cultural access (3.76 ± 0.54) and timely receipt of PHC services (2.51 ± 0.72) accounted for the highest and the lowest access rates, respectively. The concentration index for the distribution of PHC services among the income-adjusted population was 0.014 (CI 95%: -0.022 to 0.051), indicating pro-rich inequalities in access to PHC services.

conclusionThe results indicated that pro-rich inequality, but it was close to the equality line. Also, the access level was assessed as moderate to high. Therefore, planning and policy-making seems essential for reduce inequality, and development and promotion of access to PHC services, especially timely provision of services and organizational access.

Indexed as

Family CharacteristicsHealth ServicesHealthcare DisparitiesHealth Services AccessibilityHumansIranPrimary Health CareAccessConcentration indexEquityFairHouseholdsPrimary health care

Identifiers

PMID35999541
PMCPMC9400231

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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.