Evidence map›Paper›PMID 36701563›Full record

ArticleJournal of global health2023

Estimated travel time and staffing constraints to accessing the Ethiopian health care system: A two-step floating catchment area analysis.

Nathaniel Hendrix, Samson Warkaye, Latera Tesfaye, Mesfin Agachew Woldekidan, Asrat Arja, Ryoko Sato, Solomon Tessema Memirie, Alemnesh H Mirkuzie, Fentabil Getnet, Stéphane Verguet

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
15.7field-weighted citation impact, top 1% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

10 authors at 3 institutions in 2 countries.

Nathaniel HendrixDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Samson WarkayeNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Latera TesfayeNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Mesfin Agachew WoldekidanNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Asrat ArjaNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Ryoko SatoDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Solomon Tessema MemirieAddis Center for Ethics and Priority Setting, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Alemnesh H MirkuzieNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Fentabil GetnetNational Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Stéphane VerguetDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Ethiopian Public Health Institute · ETHarvard Global Health Institute · USAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite large investments in the public health care system, disparities in health outcomes persist between lower- and upper-income individuals, as well as rural vs urban dwellers in Ethiopia. Evidence from Ethiopia and other low- and middle-income countries suggests that challenges in health care access may contribute to poverty in these settings. Methods: We employed a two-step floating catchment area to estimate variations in spatial access to health care and in staffing levels at health care facilities. We estimated the average travel time from the population centers of administrative areas and adjusted them with provider-to-population ratios. To test hypotheses about the role of travel time vs staffing, we applied Spearman's rank tests to these two variables against the access score to assess the significance of observed variations. Results: Among Ethiopia's 11 first-level administrative units, Addis Ababa, Dire Dawa, and Harari had the best access scores. Regions with the lowest access scores were generally poorer and more rural/pastoral. Approximately 18% of the country did not have access to a public health care facility within a two-hour walk. Our results suggest that spatial access and staffing issues both contribute to access challenges. Conclusion: Investments both in new health facilities and staffing in existing facilities will be necessary to improve health care access within Ethiopia. Because rural and low-income areas are more likely to have poor access, future strategies for expanding and strengthening the health care system should strongly emphasize equity and the role of improved access in reducing poverty.

Indexed as

Health FacilitiesHealth Services AccessibilityCatchment Area, HealthEthiopiaHumansRural Population

Identifiers

PMID36701563
PMCPMC9880518
OpenAlexW4318147423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.