Evidence map›Paper›PMID 23932056›Full record

ArticleJournal of epidemiology and global health2013

Socioeconomic inequity in health care utilization, Iran.

Abolfazl Mohammadbeigi, Jafar Hassanzadeh, Babak Eshrati, Abbas Rezaianzadeh

Abstract readComparative Study
In one paragraph

Article in Journal of epidemiology and global health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Scoping review of outpatient health services utilization among women.Primary health care research & development · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Health equity in Iran: A systematic review.Medical journal of the Islamic Republic of Iran · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Socio-Economic Status Inequity in Self Rated Health in Patients with Breast Cancer.Open access Macedonian journal of medical sciences · 2019
    Article
  19. Article
  20. Article
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

4 authors.

Abolfazl MohammadbeigiEpidemiology, School of Health, Qom University of Medical Sciences, Qom, Iran. beigi60@gmail.com
Jafar Hassanzadeh
Babak Eshrati
Abbas Rezaianzadeh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledReducing poor-rich inequities in health is one of the priorities of both national and international organizations and is also one of the main challenges of health sectors in Iran. Since, in the view of policy making, quantifying the size of inequity in health care utilization (HCU) is a prerequisite for achieving this goal, the current study aimed to determine and compare the socioeconomic inequity in HCU by concentration (C) index and odds ratio (OR).

methodsA total of 758 households, consisting of 2,131 subjects who were aged 15 or older, were involved in this cross-sectional study, and their data were gathered through interviews. Household economic index (HEI) was created by the factor analysis from the asset data. The C index and OR were used as measures to determine the overall inequity in HCU according to sex (male/female), living area (urban/rural), insurance, and types of HCU (general physician [GP], specialist, and Health Workers [HWs]).

resultsThe overall rate of HCU was 66.4%. The rates of using GP, specialist care, and HW care were 21.4%, 21.6% and 21.8%, respectively. The overall inequity in HCU was equal to 0.05 (95% confidence interval; -0.069 to 0.165). The C indexes in HCU, according to the subgroups of HCU, were measured as 0.11 (0.09-0.12) for GP, 0.115 (0.01-0.13) for specialist and -0.065 (-0.08 to -0.05) for HWs. Although the rate of utilization increased from poor to rich quintiles, the inequity regarding sex and living area was also low and non-significant.

conclusionPeople with higher HEI used more specialist and GP care, while people with lower HEI used more HW care. The inequity in HCU was low and non-significant in different quintiles of males, females, urban and rural, as well as those who were insured.

Indexed as

AdolescentAdultAgedAged, 80 and overCross-Sectional StudiesDelivery of Health CareFemaleHealthcare DisparitiesHumansIranMaleMiddle AgedModels, TheoreticalRural PopulationSocioeconomic FactorsUrban PopulationConcentration indexHealth care utilizationInequitySocioeconomic situation

Identifiers

PMID23932056
PMCPMC7320370

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.