ArticleGlobal health action2017
Coverage of routine reporting on malaria parasitological testing in Kenya, 2015-2016.
Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- Article
- Article
- Investigating rapid diagnostic testing in Kenya's health system, 2018-2020: validating non-reporting in routine data using a health facility service assessment survey.BMC health services research · 2023Article
- The use of routine health facility data for micro-stratification of malaria risk in mainland Tanzania.Malaria journal · 2022Article
- Clinical malaria incidence and health seeking pattern in geographically heterogeneous landscape of western Kenya.BMC infectious diseases · 2022Article
- Health care provider practices in diagnosis and treatment of malaria in rural communities in Kisumu County, Kenya.Malaria journal · 2022Article
- A data quality assessment of the first four years of malaria reporting in the Senegal DHIS2, 2014-2017.BMC health services research · 2022Article
- Article
- Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis.Frontiers in public health · 2022Article
- Key informant perspectives on the challenges and opportunities for using routine health data for decision-making in Senegal.BMC health services research · 2021Article
- Relationships between test positivity rate, total laboratory confirmed cases of malaria, and malaria incidence in high burden settings of Uganda: an ecological analysis.Malaria journal · 2021Article
- Article
- Data cleaning process for HIV-indicator data extracted from DHIS2 national reporting system: a case study of Kenya.BMC medical informatics and decision making · 2020Article
- Determinants of subnational disparities in antenatal care utilisation: a spatial analysis of demographic and health survey data in Kenya.BMC health services research · 2020Article
- Routine data for malaria morbidity estimation in Africa: challenges and prospects.BMC medicine · 2020Article
- Data for tracking SDGs: challenges in capturing neonatal data from hospitals in Kenya.BMJ global health · 2020Review
- The relationship between facility-based malaria test positivity rate and community-based parasite prevalence.PloS one · 2020Article
- Producing routine malaria data: an exploration of the micro-practices and processes shaping routine malaria data quality in frontline health facilities in Kenya.Malaria journal · 2019Article
- In vitro evaluation of chloroquine-loaded and heparin surface-functionalized solid lipid nanoparticles.Malaria journal · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundFollowing the launch of District Health Information System 2 across facilities in Kenya, more health facilities are now capable of carrying out malaria parasitological testing and reporting data as part of routine health information systems, improving the potential value of routine data for accurate and timely tracking of rapidly changing disease epidemiology at fine spatial resolutions.
objectivesThis study evaluates the current coverage and completeness of reported malaria parasitological testing data in DHIS2 specifically looking at patterns in geographic coverage of public health facilities in Kenya.
methodsMonthly facility level data on malaria parasitological testing were extracted from Kenya DHIS2 between November 2015 and October 2016. DHIS2 public facilities were matched to a geo-coded master facility list to obtain coordinates. Coverage was defined as the geographic distribution of facilities reporting any data by region. Completeness of reporting was defined as the percentage of facilities reporting any data for the whole 12-month period or for 3, 6 and 9 months.
resultsPublic health facilities were 5,933 (59%) of 10,090 extracted. Fifty-nine per Cent of the public facilities did not report any data while 36, 29 and 22% facilities had data reported at least 3, 6 and 9 months, respectively. Only 8% of public facilities had data reported for every month. There were proportionately more hospitals (86%) than health centres (76%) and dispensaries/clinics (30%) reporting. There were significant geographic variations in reporting rates. Counties along the malaria endemic coast had the lowest reporting rate with only 1% of facilities reporting consistently for 12 months.
conclusionCurrent coverage and completeness of reporting of malaria parasitological diagnosis across Kenya's public health system remains poor. The usefulness of routine data to improve our understanding of sub-national heterogeneity across Kenya would require significant improvements to the consistency and coverage of data captured by DHIS2.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.