Evidence map›Paper›PMID 29343225›Full record

ArticleBMC public health2018

Health worker knowledge of Integrated Disease Surveillance and Response standard case definitions: a cross-sectional survey at rural health facilities in Kenya.

Mitsuru Toda, Dejan Zurovac, Ian Njeru, David Kareko, Matilu Mwau, Kouichi Morita

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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

6 authors.

Mitsuru TodaNagasaki University Institute of Tropical Medicine, KEMRI-NUITM, Kenyatta Hospital Grounds, Nairobi, Kenya. mitsuru@post.harvard.edu.ORCID 0000-0002-5904-6658
Dejan ZurovacOxford University, Oxford, UK.
Ian NjeruKenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya.
David KarekoKenya Ministry of Health Disease Surveillance and Response Unit, Nairobi, Kenya.
Matilu MwauKenya Medical Research Institute, Nairobi, Kenya.
Kouichi MoritaNagasaki University Institute of Tropical Medicine, Nagasaki, Japan.

Funding

Japan Agency for Medical Research and Development N/AJapan International Cooperation Agency N/A
6 · The paper itself

Abstract

backgroundThe correct knowledge of standard case definition is necessary for frontline health workers to diagnose suspected diseases across Africa. However, surveillance evaluations commonly assume this prerequisite. This study assessed the knowledge of case definitions for health workers and their supervisors for disease surveillance activities in rural Kenya.

methodsA cross-sectional survey including 131 health workers and their 11 supervisors was undertaken in two counties in Kenya. Descriptive analysis was conducted to classify the correctness of knowledge into four categories for three tracer diseases (dysentery, measles, and dengue). We conducted a univariate and multivariable logistic regression analyses to explore factors influencing knowledge of the case definition for dysentery.

resultsAmong supervisors, 81.8% knew the correct definition for dysentery, 27.3% for measles, and no correct responses were provided for dengue. Correct knowledge was observed for 50.4% of the health workers for dysentery, only 12.2% for measles, and none for dengue. Of 10 examined factors, the following were significantly associated with health workers' correct knowledge of the case definition for dysentery: health workers' cadre (aOR 2.71; 95% CI 1.20-6.12; p = 0.017), and display of case definition poster (aOR 2.24; 95% CI 1.01-4.98; p = 0.048). Health workers' exposure to the surveillance refresher training, supportive supervision and guidelines were not significantly associated with the knowledge.

conclusionThe correct knowledge of standard case definitions was sub-optimal among health workers and their supervisors, which is likely to impact the reliability of routine surveillance reports generated from health facilities.

Indexed as

Clinical CompetenceHealth PersonnelPopulation SurveillanceRural Health ServicesTerminology as TopicAdultCross-Sectional StudiesFemaleHumansKenyaMaleMiddle AgedReproducibility of ResultsCase definitionsDisease surveillanceHealth workersKenyaKnowledge

Identifiers

PMID29343225
PMCPMC5772726

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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.