Evidence map›Paper›PMID 37452305›Full record

ArticleBMC health services research2023

Geographic availability of and physical accessibility to tuberculosis diagnostic tests in Ghana: a cross-sectional survey.

Desmond Kuupiel, Benjamin S N Cheabu, Peter Yeboah, James Duah, Joseph K Addae, Ignatius T Ako-Nnubeng, Francis A Osei, Shamsu-Deen Ziblim, Gugu G Mchunu, Julian D Pillay and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

11 authors.

Desmond KuupielDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa. desmondkuupiel98@hotmail.com.
Benjamin S N CheabuFaculty of Health Sciences, Health Quality Programs, Queen's University, Kingston, K7L3N6, Canada.
Peter YeboahChristian Health Association of Ghana, # 21 Jubilee Wells Street Labadi, Accra, Ghana.
James DuahChristian Health Association of Ghana, # 21 Jubilee Wells Street Labadi, Accra, Ghana.
Joseph K AddaeChristian Health Association of Ghana, # 21 Jubilee Wells Street Labadi, Accra, Ghana.
Ignatius T Ako-NnubengChristian Health Association of Ghana, # 21 Jubilee Wells Street Labadi, Accra, Ghana.
Francis A OseiChristian Health Association of Ghana, # 21 Jubilee Wells Street Labadi, Accra, Ghana.
Shamsu-Deen ZiblimDepartment of Population and Reproductive Health, School of Public Health, University of Development Studies, Tamale, Ghana.
Gugu G MchunuDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa.
Julian D PillayDiscipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, 4001, South Africa.
Vitalis BawontuoDepartment of Health Services Management and Administration, School of Business, SD Dombo University of Business and Integrated Development Studies (SDD-UBIDS), Wa, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Ghana, tuberculosis (TB) case detection is low (< 34%). Existing scientific evidence suggest access to TB diagnostic tests play an essential role in TB case detection, yet little has been scientifically documented on it in Ghana. This study, therefore, sought to map TB diagnosis sites, and describe the geographic availability and physical accessibility to TB diagnosis in six regions of Ghana to inform scale-up and future placement of TB diagnostic tests.

methodsWe assembled the geolocation and attribute data of all health facilities offering TB diagnosis in Upper West Region (UWR), Upper East Region (UER), Ahafo, North-East, Northern, and Savannah regions. QGIS was employed to estimate the distance and travel time to TB diagnosis sites within regions. Travel time estimates were based on assumed motorised tricycle speed of 20 km (km)/hour.

resultsOf the total 1584 health facilities in the six regions, 86 (5.4%) facilities were providing TB diagnostic testing services. This 86 TB diagnosis sites comprised 56 (65%) microscopy sites, 23 (27%) both microscopy and GeneXpert sites, and 7 (8%) GeneXpert only sites (8%). Of the 86 diagnosis sites, 40 (46%) were in the UER, follow by Northern Region with 16 (19%), 12 (14%) in UWR, 9 (10%) in Ahafo Region, 5 (6%) in North East, and 4 (5%) in Savannah Region. The overall estimated mean distance and travel time to the nearest TB diagnosis site was 23.3 ± 13.8 km and 67.6 ± 42.6 min respectively. Savannah Region recorded the longest estimated mean distance and travel time with 36.1 ± 14.6 km and 108.3 ± 43.9 min, whilst UER recorded the shortest with 10.2 ± 5.8 km and 29.1 ± 17.4 min. Based on a 10 km buffer of settlement areas, an estimated 75 additional TB diagnosis sites will be needed to improve access to TB diagnosis services across the six regions.

conclusionThis study highlights limited availability of TB diagnosis sites and poor physical accessibility to TB diagnosis sites across five out of the six regions. Targeted implementation of additional TB diagnosis sites is needed to reduce travel distances to ≤ 10 km.

Indexed as

TuberculosisCross-Sectional StudiesDiagnostic ServicesDiagnostic Tests, RoutineGhanaHealth Services AccessibilityHumansAvailabilityDiagnosisGhanaPhysical AccessibilityTuberculosis

Identifiers

PMID37452305
PMCPMC10347710

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.