ArticleMalaria journal2017
Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011-2015.
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.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.
- Using routine health information data for research in low- and middle-income countries: a systematic review.BMC health services research · 2020Pooled it
- The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa.Malaria journal · 2019Pooled it
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- Using sentinel surveillance system data to characterize severe malaria illness and quality of malaria case management among hospitalized patients in Kenya, 2017-2024.Malaria journal · 2026Article
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- Subnational tailoring of malaria interventions to prioritize the malaria response in Guinea.Malaria journal · 2025Article
- Quality of routine malaria data captured at primary health facilities in the Hohoe Municipality, Ghana.Scientific reports · 2025Article
- Neonatal indicator data in Tanzania District Health Information System: evaluation of availability and quality of selected newborn indicators, 2015-2022.BMC pediatrics · 2025Article
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- Uses of private health provider data for governance in low-income and middle-income countries: results from a scoping review.BMJ open · 2024Article
- Truth is relative; Client report versus provider report, a post-modern analysis of data from a trial in the private retail medicine sector.Research square · 2024Article
- Evaluating the gap in rapid diagnostic testing: insights from subnational Kenyan routine health data.BMJ open · 2024Article
- Assessing the adoption and utilization of the Rwanda COVID-19 data analytics system: a mixed methods approach.Oxford open digital health · 2024Article
- The effect of a pilot universal health coverage program on hospital workload: A comparative study of two counties in Kenya.Dialogues in health · 2023Article
- A comparative analysis of two national tuberculosis reporting systems and their impact on tuberculosis case notification in Uganda.African health sciences · 2023Article
- Adherence to national malaria treatment guidelines in private drug outlets: a cross-sectional survey in the malaria-endemic Kisumu County, Kenya.Malaria journal · 2023Article
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9 authors at 3 institutions in 2 countries.
Funding
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.
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