Evidence map›Paper›PMID 30918924›Full record

ArticleEast African journal of applied health monitoring and evaluation2018

Improving the ability of districts in Uganda to monitor their HIV programs.

Isaac Sebuliba, Christina Lindan, Rose Baryamutuma, Charity Kyomugisha, Simon Muhumuza, William Bazeyo, Evelyn Akello

Abstract read
In one paragraph

Article in East African journal of applied health monitoring and evaluation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Isaac SebulibaMakerere University School of Public Health, Kampala, Uganda.
Christina LindanInstitute for Global Health Sciences, University of California, San Francisco, California, United States of America.
Rose BaryamutumaMakerere University School of Public Health, Kampala, Uganda.
Charity KyomugishaMakerere University School of Public Health, Kampala, Uganda.
Simon MuhumuzaMakerere University School of Public Health, Kampala, Uganda.
William BazeyoMakerere University School of Public Health, Kampala, Uganda.
Evelyn AkelloMakerere University School of Public Health, Kampala, Uganda.

Funding

PROVISION OF TECHNICAL ASSISTANCE TO STRENGTHEN HIV STRATEGIC INFORMATION ACTIVITU2GPS001945 · PS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, DR. CHRISTINA P. · 2009 to 2014
$9.8M
Int'l Traineeships in AIDS Prevention Studies (ITAPS)R25MH064712 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LINDAN, CHRISTINA P · 2002 to 2018
$3.4M
NCHHSTP CDC HHS U2G PS001945NIMH NIH HHS R25 MH064712
6 · The paper itself

Abstract

backgroundAlthough district health teams (DHT) in Uganda are supposed to monitor and support facilities to ensure quality HIV data collection, reporting and use, they are often ill-equipped to do so. We implemented a program designed to build the capacity of districts to manage and use their own HIV-related program data and to assist facilities to collect and evaluate their own data.

methodsWe conducted a baseline assessment of the monitoring and evaluation (M&E) capacity of 38 districts. In the 10 worst-performing districts, we identified and trained district-level staff to become M&E mentors who in turn trained and supervised facility-level staff. We collected information on action plans developed by facilities to address major issues of concern. Following the intervention, we reassessed M&E capacity of the 10 targeted districts.

resultsAmong the 38 districts assessed, one-half did not have a biostatistician, less than one-quarter had staff trained in the basics of M&E or data analysis, and less than one-quarter had an M&E plan. The main concerns of facilities included lack of updated data collection tools, lack of supervision, inaccurate data recording, and limited ability to analyze and use data. In the 10 targeted districts, comparison before and after the intervention showed that the number of districts with trained M&E staff increased (4 to 9), the number of M&E plans increased (3 to 6), and the number using data for programming increased (4 to 8). Implementation of action plans by facilities successfully addressed many issues and led to improved programming.

conclusionChallenges of district M&E in Uganda mainly result from a lack of skilled human resources. On-the-job training and direct involvement of district staff to provide support to facilities can lead to improvements in data quality and use.

Indexed as

capacity-buildingevaluationHIV/AIDSmonitoringUganda

Identifiers

PMID30918924
PMCPMC6433397

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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.