Evidence map›Paper›PMID 28818071›Full record

ArticleMalaria journal2017

Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011-2015.

Sophie Githinji, Robinson Oyando, Josephine Malinga, Waqo Ejersa, David Soti, Josea Rono, Robert W Snow, Ann M Buff, Abdisalan M Noor

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
16.7field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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  7. Characterization of Malaria Outbreak in Marsabit County, Kenya, March 2024.The American journal of tropical medicine and hygiene · 2025
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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 3 institutions in 2 countries.

Sophie GithinjiKenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya. sophiegithinji@gmail.com.
Robinson OyandoKenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Josephine MalingaKenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Waqo EjersaNational Malaria Control Programme, Ministry of Health, Nairobi, Kenya.
David SotiDivision of Monitoring and Evaluation, Health Research Development and Health Informatics, Ministry of Health, Nairobi, Kenya.
Josea RonoE&K Consulting Firm, Nairobi, Kenya.
Robert W SnowKenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Ann M BuffMalaria Branch, Division of Parasitic Diseases and Malaria, Center for Global Health, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya.
Abdisalan M NoorKenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya.
Kenya Medical Research Institute · KEMinistry of Health · KECenters for Disease Control and Prevention · KE

Funding

Medical Research Council MR/K007351/1Wellcome TrustWellcome Trust 095127Wellcome Trust 103602Wellcome Trust 203077Wellcome Trust 95063
6 · The paper itself

Abstract

backgroundHealth facility-based data reported through routine health information systems form the primary data source for programmatic monitoring and evaluation in most developing countries. The adoption of District Health Information Software (DHIS2) has contributed to improved availability of routine health facility-based data in many low-income countries. An assessment of malaria indicators data reported by health facilities in Kenya during the first 5 years of implementation of DHIS2, from January 2011 to December 2015, was conducted.

methodsData on 19 malaria indicators reported monthly by health facilities were extracted from the online Kenya DHIS2 database. Completeness of reporting was analysed for each of the 19 malaria indicators and expressed as the percentage of data values actually reported over the expected number; all health facilities were expected to report data for each indicator for all 12 months in a year.

resultsMalaria indicators data were analysed for 6235 public and 3143 private health facilities. Between 2011 and 2015, completeness of reporting in the public sector increased significantly for confirmed malaria cases across all age categories (26.5-41.9%, p < 0.0001, in children aged <5 years; 30.6-51.4%, p < 0.0001, in persons aged ≥5 years). Completeness of reporting of new antenatal care (ANC) clients increased from 53.7 to 70.5%, p < 0.0001). Completeness of reporting of intermittent preventive treatment in pregnancy (IPTp) decreased from 64.8 to 53.7%, p < 0.0001 for dose 1 and from 64.6 to 53.4%, p < 0.0001 for dose 2. Data on malaria tests performed and test results were not available in DHIS2 from 2011 to 2014. In 2015, sparse data on microscopy (11.5% for children aged <5 years; 11.8% for persons aged ≥5 years) and malaria rapid diagnostic tests (RDTs) (8.1% for all ages) were reported. In the private sector, completeness of reporting increased significantly for confirmed malaria cases across all age categories (16.7-23.1%, p < 0.0001, in children aged <5 years; 19.4-28.6%, p < 0.0001, in persons aged ≥5 years). Completeness of reporting also improved for new ANC clients (16.2-23.6%, p < 0.0001), and for IPTp doses 1 and 2 (16.6-20.2%, p < 0.0001 and 15.5-20.5%, p < 0.0001, respectively). In 2015, less than 3% of data values for malaria tests performed were reported in DHIS2 from the private sector.

conclusionsThere have been sustained improvements in the completeness of data reported for most key malaria indicators since the adoption of DHIS2 in Kenya in 2011. However, major data gaps were identified for the malaria-test indicator and overall low reporting across all indicators from private health facilities. A package of proven DHIS2 implementation interventions and performance-based incentives should be considered to improve private-sector data reporting.

Indexed as

Health Information SystemsMalariaDisease NotificationHumansKenyaSoftware

Identifiers

PMID28818071
PMCPMC5561621
OpenAlexW2747583606

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.