Evidence map›Paper›PMID 36577986›Full record

ArticleInternational journal for equity in health2022

Achieving optimal heath data impact in rural African healthcare settings: measures to barriers in Bukomansimbi District, Central Uganda.

Chraish Miiro, Josephine Caren Ndawula, Enoch Musudo, Olivia Peace Nabuuma, Charles Norman Mpaata, Shamim Nabukenya, Alex Akaka, Olivia Bebembeire, Douglas Sanya

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Chraish MiiroDepartment of Pharmacy, Makerere University, Kampala, 7072, Uganda. miirochraish21@gmail.com.
Josephine Caren NdawulaSchool of Medicine, Makerere University, Kampala, 7072, Uganda.
Enoch MusudoDepartment of Pharmacy, Makerere University, Kampala, 7072, Uganda.
Olivia Peace NabuumaSchool of Health Sciences, Makerere University, Kampala, 7072, Uganda.
Charles Norman MpaataSchool of Health Sciences, Makerere University, Kampala, 7072, Uganda.
Shamim NabukenyaSchool of Health Sciences, Makerere University, Kampala, 7072, Uganda.
Alex AkakaSchool of Health Sciences, Makerere University, Kampala, 7072, Uganda.
Olivia BebembeireSchool of Medicine, Makerere University, Kampala, 7072, Uganda.
Douglas SanyaSchool of Medicine, Makerere University, Kampala, 7072, Uganda.
Makerere University · UG

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213PEPFAR
6 · The paper itself

Abstract

backgroundHealth data is one of the most valuable assets in health service delivery yet one of the most underutilized in especially low-income countries. Health data is postulated to improve health service delivery through availing avenues for optimal patient management, facility management, and public health surveillance and management. Advancements in information technology (IT) will further increase the value of data, but will also call for capacity readiness especially in rural health facilities. We aimed to understand the current knowledge, attitudes and practices of health workers towards health data management and utilization.

methodsWe conducted key informant interviews (KII) for health workers and data staff, and focus group discussions (FGD) for the village health teams (VHTs). We used both purposive and convenience sampling to recruit key informants, and convenience sampling to recruit village health teams. Interviews and discussions were audiotaped and transcribed verbatim. We manually generated the codes and we used thematic analysis to identify the themes. We also developed a reflexivity journal.

resultsWe conducted a total of 6 key informant interviews and 3 focus group discussions of 29 participants. Our analysis identified 7 themes: One theme underscored the health workers' enthusiasm towards an optimal health data management setting. The rest of the six themes resonated around working remedies to the systemic challenges that grapple health data management and utilization at facilities in rural areas. These include: Building human resource capacity; Equipping the facilities; Improved coordination with partners; Improved data quality assurance; Promotion of a pull supply system and Reducing information relay time.

conclusionOur findings reveal a plethora of systematic challenges that have persistently undercut optimal routine health data management and utilization in rural areas and suggest possible working remedies. Health care workers express enthusiasm towards an optimal health management system but this isn't matched by their technical capacity, facility readiness, systems and policy willingness. There is an urgent need to build rural lower facilities' capacity in health data management and utilization which will also lay a foundation for exploitation of information technology in health.

Indexed as

Delivery of Health CareHealth FacilitiesAfrican PeopleFocus GroupsHumansQualitative ResearchUgandaHealthcare professionalsHealth dataQualitative research

Identifiers

PMID36577986
PMCPMC9798683
OpenAlexW4313339863

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.