Evidence map›Paper›PMID 29747633›Full record

ArticleBMC health services research2018

A critique of the Uganda district league table using a normative health system performance assessment framework.

Christine KirungaTashobya, Freddie Ssengooba, Juliet Nabyonga-Orem, Juliet Bataringaya, Jean Macq, Bruno Marchal, Timothy Musila, Bart Criel

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.3field-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

8 citing papers in PubMed, 17 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

8 authors at 5 institutions in 4 countries.

Christine KirungaTashobyaHealth Policy and Planning Department, School of Public Health Makerere University, New Mulago Hill, P.O Box 7072, Kampala, Uganda. cktashobya@gmail.com.
Freddie SsengoobaHealth Policy and Planning Department, School of Public Health Makerere University, New Mulago Hill, P.O Box 7072, Kampala, Uganda.
Juliet Nabyonga-OremWorld Health Organization, Inter-Country Support Team for Eastern and Southern Africa; Health Systems and Services Cluster, P.O Box CY 348: Causeway, Harare, Zimbabwe.
Juliet BataringayaHealth Systems and Services Cluster, World Health Organization Rwanda Country Office, Boite Postale, 1324, Kigali, Rwanda.
Jean MacqInstitute of Health and Society, Catholic University of Louvain, Promenade de l'Alma, B-12000, Brussels, Belgium.
Bruno MarchalPublic Health Department, Institute of Tropical Medicine, 155 Nationalestraat, 2000, Antwerp, Belgium.
Timothy MusilaMinistry of Health, 6 Lourdel Road, Nakasero, P.O Box 7272, Kampala, Uganda.
Bart CrielPublic Health Department, Institute of Tropical Medicine, 155 Nationalestraat, 2000, Antwerp, Belgium.
Instituut voor Tropische Geneeskunde · BEMakerere University · UGMinistry of Health · UGUCLouvain · BEWorld Health Organization - Zimbabwe · ZW

Funding

Belgian Technical Cooperation UN 12009/01World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2003 the Uganda Ministry of Health (MoH) introduced the District League Table (DLT) to track district performance. This review of the DLT is intended to add to the evidence base on Health Systems Performance Assessment (HSPA) globally, with emphasis on Low and Middle Income Countries (LMICs), and provide recommendations for adjustments to the current Ugandan reality.

methodsA normative HSPA framework was used to inform the development of a Key Informant Interview (KII) tool. Thirty Key Informants were interviewed, purposively selected from the Ugandan health system on the basis of having developed or used the DLT. KII data and information from published and grey literature on the Uganda health system was analyzed using deductive analysis.

resultsStakeholder involvement in the development of the DLT was limited, including MoH officials and development partners, and a few district technical managers. Uganda policy documents articulate a conceptually broad health system whereas the DLT focuses on a healthcare system. The complexity and dynamism of the Uganda health system was insufficiently acknowledged by the HSPA framework. Though DLT objectives and indicators were articulated, there was no conceptual reference model and lack of clarity on the constitutive dimensions. The DLT mechanisms for change were not explicit. The DLT compared markedly different districts and did not identify factors behind observed performance. Uganda lacks a designated institutional unit for the analysis and presentation of HSPA data, and there are challenges in data quality and range.

conclusionsThe critique of the DLT using a normative model supported the development of recommendation for Uganda district HSPA and provides lessons for other LMICs. A similar approach can be used by researchers and policy makers elsewhere for the review and development of other frameworks. Adjustments in Uganda district HSPA should consider: wider stakeholder involvement with more district managers including political, administrative and technical; better anchoring within the national health system framework; integration of the notion of complexity in the design of the framework; and emphasis on facilitating district decision-making and learning. There is need to improve data quality and range and additional approaches for data analysis and presentation.

Indexed as

Administrative PersonnelDecision MakingDelivery of Health CareEfficiency, OrganizationalGovernment ProgramsHealth PolicyHumansMedical AssistanceNational Health ProgramsPovertyUgandaAccountabilityDecentralizationDecision-makingDistrictHealth systemLeague tablePerformance assessment

Identifiers

PMID29747633
PMCPMC5946482
OpenAlexW2807297116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.