Evidence map›Paper›PMID 38212742›Full record

ArticleBMC health services research2024

Inpatient healthcare utilization among people with disabilities in Iran: determinants and inequality patterns.

Badriyeh Karami, Satar Rezaei, Hadi Darvishi Gillan, Shahram Akbari, Raheleh Maleki, Fardin Moradi, Faramarz Jalili, Mohammad Karami, Shahin Soltani

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Badriyeh KaramiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID http://orcid.org/0000-0002-1849-2416
Satar RezaeiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID http://orcid.org/0000-0002-6194-6057
Hadi Darvishi GillanResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID http://orcid.org/0000-0002-7390-5607
Shahram AkbariResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Raheleh MalekiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID http://orcid.org/0000-0002-5001-4107
Fardin MoradiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.ORCID http://orcid.org/0000-0003-4577-458X
Faramarz JaliliSchool of Health Administration, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-9344-8941
Mohammad KaramiResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shahin SoltaniResearch Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran. shahin.soltani@kums.ac.ir.ORCID http://orcid.org/0000-0001-8365-7363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with disabilities (PWD) have different health service needs and different factors affect the utilization of these services. Therefore, the aim of this present study was to identify determinants of inpatient healthcare utilization among PWDs in Iran.

methodsThis research was a secondary data analysis of a cross-sectional study. The present study used data gathered for 766 PWDs (aged 18 years and older) within the Iranian Society with Disabilities (ISD) between September and December 2020. Multiple logistic regression models calculated adjusted odds ratios (aOR) and 95% confidence intervals in order to identify determinants of inpatient healthcare utilization among PWDs.

resultsData for 766 people with disabilities were analyzed. A large number of participants were over 28 years of age (70.94%), male (64.36%), and single (54.02%). In the present study, more than 71% of participants had no history of hospitalization during the last year. In this study, males [aOR 2.11(1.14-3.91), participants with Civil Servants health insurance coverage [aOR 3.44 (1.16 - 10.17)] and individuals in the 3th quartile of disability severity [aOR 2.13 (1.01 - 4.51)] had greater odds of inpatient healthcare utilization compared to the other groups. The value of the concentration index (C) for inpatient healthcare utilization was - 0.084 (P.value = 0.046). The decomposition analysis indicated that gender was the greatest contributor (21.92%) to the observed inequality in inpatient healthcare utilization among participants.

conclusionOur findings suggested that the likelihood of hospitalization among the study participants could be significantly influenced by factors such as gender, the health insurance scheme, and the degree of disability severity. These results underscore the imperative for enhanced access to outpatient services, affordable insurance coverage, and reduced healthcare expenditures for this vulnerable population. Addressing these issues has the potential to mitigate the burden of hospitalization and promote better health outcomes for disadvantaged individuals.

Indexed as

InpatientsPersons with DisabilitiesAdultCross-Sectional StudiesHealthcare DisparitiesHumansIranMalePatient Acceptance of Health CareSocioeconomic FactorsConcentration indexDecomposition analysisDisabilityHospitalization ratesSocioeconomic disparities

Identifiers

PMID38212742
PMCPMC10785394

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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.