Evidence map›Paper›PMID 24349720›Full record

ArticleIranian Red Crescent medical journal2013

Determinants of inequity in health care services utilization in markazi province of iran.

Jafar Hassanzadeh, Abolfazl Mohammadbeigi, Babak Eshrati, Abbas Rezaianzadeh, Abdolreza Rajaeefard

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Article in Iranian Red Crescent medical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

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27citing 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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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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Scoping review of outpatient health services utilization among women.Primary health care research & development · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Socio-Economic Status Inequity in Self Rated Health in Patients with Breast Cancer.Open access Macedonian journal of medical sciences · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Factors Affecting Health Care Utilization in Tehran.Global journal of health science · 2015
    Article
  19. Article
  20. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jafar HassanzadehDepartment of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Abolfazl MohammadbeigiDepartment of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, IR Iran.
Babak EshratiDepartment of Epidemiology, School of Health, Arak University of Medical Sciences, Arak, IR Iran.
Abbas RezaianzadehDepartment of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran.
Abdolreza RajaeefardDepartment of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, IR Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational and international statistics from Iran have indicated that progresses and achievements have been made for most health indicators, but there are differences in some indicators in special groups and at the provincial level.

objectivesOur aim was to assess the main predictors of inequity in seeking Health Care Utilities (HCU) locally. PATIENTS AND

methodsData gathered from the HCU survey, which was conducted in the Markazi province of Iran during 2008, was used in the present study. A systematic sampling method, based on the Iranian household framework, was applied in order to choose 758 households as well as 2711 individuals. The household wealth index constructed by Principle Component Analysis (PCA) and robust login link function in Generalized Estimation Equation (GEE) model were used in order to determine the predictors of inequity.

results66.4% of those in need sought outpatient health care from which 97.7% received appropriate services. After adjustment for the clustering effect of household as well as confounding effect of the covariates, GEE model showed that there were inequities in HCU for females (OR = 2.44, CI; 1.24- 4.81) and subjects with inpatient need (OR = 2.14, CI: 1.23-3.72). Being in the lowest quintile of household wealth index was associated with the lower use of outpatient health services (OR = 0.45, CI; 0.23- 0.88).

conclusionsIn spite of improvements in the national health indicator, different groups of people use health care services differently, but these inequities in HCU are related to social and individual factors. Also, it is clear that health sector facilities and the accessibility to health services are not the only predictors.

Indexed as

IranQuality Indicators, Health CareUtilization

Identifiers

PMID24349720
PMCPMC3838642

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