Evidence map›Paper›PMID 26856362›Full record

Observational studyHealth policy and planning2016

Inequality and inequity in healthcare utilization in urban Nepal: a cross-sectional observational study.

Eiko Saito, Stuart Gilmour, Daisuke Yoneoka, Ghan Shyam Gautam, Md Mizanur Rahman, Pradeep Krishna Shrestha, Kenji Shibuya

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Health policy and planning, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

41 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dalit's livelihoods in Nepal: income sources and determinants.Environment, development and sustainability · 2022
    Article
  19. The Impact of Multidimensional Health Levels on Rural Poverty: Evidence from Rural China.International journal of environmental research and public health · 2022
    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

7 authors at 4 institutions in 3 countries.

Eiko SaitoGraduate School of Medicine, The University of Tokyo, Tokyo, Japan, saito.eiko@gmail.com.
Stuart GilmourGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Daisuke YoneokaDepartment of Statistical Science, School of Advanced Sciences, The Graduate University for Advanced Studies, Tokyo, Japan.
Ghan Shyam GautamDeutsche Gesellschaft fuer Internationale Zusammenarbeit (GIZ) GmbH, Kathmandu, Nepal and.
Md Mizanur RahmanGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Pradeep Krishna ShresthaInstitute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal.
Kenji ShibuyaGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPDeutsche Gesellschaft für Internationale Zusammenarbeit · PHThe Graduate University for Advanced Studies, SOKENDAI · JPTribhuvan University Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inequality in access to quality healthcare is a major health policy challenge in many low- and middle-income countries. This study aimed to identify the major sources of inequity in healthcare utilization using a population-based household survey from urban Nepal. A cross-sectional survey was conducted covering 9177 individuals residing in 1997 households in five municipalities of Kathmandu valley between 2011 and 2012. The concentration index was calculated and a decomposition method was used to measure inequality in healthcare utilization, along with a horizontal inequity index (HI) to estimate socioeconomic inequalities in healthcare utilization. Results showed a significant pro-rich distribution of general healthcare utilization in all service providers (Concentration Index: 0.062, P < 0.001; HI: 0.029, P < 0.05) and private service providers (Concentration Index: 0.070, P < 0.001; HI: 0.030, P < 0.05). The pro-rich distribution of probability in general healthcare utilization was attributable to inequalities in the level of household economic status (percentage contribution: 67.8%) and in the self-reported prevalence of non-communicable diseases such as hypertension (36.7%) and diabetes (14.4%). Despite the provision of free services by public healthcare providers, our analysis found no evidence of the poor making more use of public health services (Concentration Index: 0.041, P = 0.094). Interventions to reduce the household economic burden of major illnesses, coupled with improvement in the management of public health facilities, warrant further attention by policy-makers.

Indexed as

Socioeconomic FactorsAdultCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Care SurveysHealth Services AccessibilityHumansMaleMiddle AgedNepalPatient Acceptance of Health CarePovertyhealth care utilization: Health economicshealth inequalities

Identifiers

PMID26856362
PMCPMC4977425
OpenAlexW2271156548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.