Evidence map›Paper›PMID 32308913›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

A Qualitative Study to Examine Approaches used to Manage Data about Health Facilities and their Challenges: A Case of Uganda.

Jonathan Mpango, Josephine Nabukenya

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Jonathan MpangoSchool of Public Health, Makerere University, Kampala, Uganda.
Josephine NabukenyaSchool of Computing and Informatics Technology, Makerere University, Kampala, Uganda.

Funding

Medical Research Council MR/S013164/1
6 · The paper itself

Abstract

Availability of an accurate and complete health facility list is fundamental in producing quality and timely data that is sufficient to aid evidence-based decision, resource allocation and planning within the healthcare ecosystem. This study aimed at examining the approaches used in Uganda to manage data about health facilities and the challenges they are facing. We conducted a qualitative study involving 32 interviews with participants from Ministry of Health, government regulatory organizations, district local government, general public, academia, implementing partners and healthcare providers. Our analysis identified four divergent approaches that had five common challenges, namely; lack of a health facility unique identifier, non-standardized, incomplete, inaccurate data, difficulty accessing and using data. Establishing a national central health facility registry to manage the national health facility list would improve patient referrals, facility look-ups, health information exchange, data curation and access and health information system integration.

Indexed as

Health Facility AdministrationData ManagementHealth FacilitiesHealth Information ExchangeHealth PersonnelHumansInterviews as TopicMedical Records Systems, ComputerizedQualitative ResearchRegistriesUgandaeHealthHealth FacilitiesHealth Information ExchangeMaster Facility ListUganda

Identifiers

PMID32308913
PMCPMC7153096

What OpenQuestion holds

Textmetadata
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.