Evidence map›Paper›PMID 27303581›Full record

ArticleThe Pan African medical journal2016

Factors associated with adequate weekly reporting for disease surveillance data among health facilities in Nairobi County, Kenya, 2013.

Athman Juma Mwatondo, Zipporah Ng'ang'a, Caroline Maina, Lyndah Makayotto, Moses Mwangi, Ian Njeru, Wences Arvelo

Abstract read
In one paragraph

Article in The Pan African medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. Advance Warning and Response Systems in Kenya: A Scoping Review.medRxiv : the preprint server for health sciences · 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

7 authors.

Athman Juma MwatondoKenya Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya; College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Zipporah Ng'ang'aCollege of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Caroline MainaDisease Surveillance and Response Unit, Ministry of Health, Nairobi, Kenya.
Lyndah MakayottoDisease Surveillance and Response Unit, Ministry of Health, Nairobi, Kenya.
Moses MwangiCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Ian NjeruDisease Surveillance and Response Unit, Ministry of Health, Nairobi, Kenya.
Wences ArveloKenya Field Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya; US Centers for Disease Control and Prevention, Nairobi, Kenya; Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionKenya adopted the Integrated Disease Surveillance and Response (IDSR) strategy in 1998 to strengthen disease surveillance and epidemic response. However, the goal of weekly surveillance reporting among health facilities has not been achieved. We conducted a cross-sectional study to determine the prevalence of adequate reporting and factors associated with IDSR reporting among health facilities in one Kenyan County.

methodsHealth facilities (public and private) were enrolled using stratified random sampling from 348 facilities prioritized for routine surveillance reporting. Adequately-reporting facilities were defined as those which submitted >10 weekly reports during a twelve-week period and a poor reporting facilities were those which submitted <10 weekly reports. Multivariate logistic regression with backward selection was used to identify risk factors associated with adequate reporting.

resultsFrom September 2 through November 30, 2013, we enrolled 175 health facilities; 130(74%) were private and 45(26%) were public. Of the 175 health facilities, 77 (44%) facilities classified as adequate reporting and 98 (56%) were reporting poorly. Multivariate analysis identified three factors to be independently associated with weekly adequate reporting: having weekly reporting forms at visit (AOR19, 95% CI: 6-65], having posters showing IDSR functions (AOR8, 95% CI: 2-12) and having a designated surveillance focal person (AOR7, 95% CI: 2-20).

conclusionThe majority of health facilities in Nairobi County were reporting poorly to IDSR and we recommend that the Ministry of Health provide all health facilities in Nairobi County with weekly reporting tools and offer specific trainings on IDSR which will help designate a focal surveillance person.

Indexed as

Communicable Disease ControlCross-Sectional StudiesHealth FacilitiesHumansKenyaLogistic ModelsMultivariate AnalysisPopulation SurveillanceKenyaprevalenceSurveillance

Identifiers

PMID27303581
PMCPMC4894736

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.