Evidence map›Paper›PMID 24700977›Full record

ArticleBulletin of the World Health Organization2014

Determining health-care facility catchment areas in Uganda using data on malaria-related visits.

Kate Zinszer, Katia Charland, Ruth Kigozi, Grant Dorsey, Moses R Kamya, David L Buckeridge

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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

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  11. Geo-Epidemiology of Malaria at the Health Area Level, Dire Health District, Mali, 2013-2017.International journal of environmental research and public health · 2020
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  12. Article
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  14. Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach.International journal of environmental research and public health · 2018
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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.

Kate ZinszerSurveillance Lab, Clinical and Health Informatics Research Group, McGill University, 1040 Pine Avenue West, Montreal, Quebec, Canada H3A 1A3.
Katia CharlandSurveillance Lab, Clinical and Health Informatics Research Group, McGill University, 1040 Pine Avenue West, Montreal, Quebec, Canada H3A 1A3.
Ruth KigoziUganda Malaria Surveillance Project, Kampala, Uganda .
Grant DorseyDepartment of Infectious Diseases, University of California, San Francisco, United States of America .
Moses R KamyaDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda .
David L BuckeridgeSurveillance Lab, Clinical and Health Informatics Research Group, McGill University, 1040 Pine Avenue West, Montreal, Quebec, Canada H3A 1A3.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo illustrate the use of a new method for defining the catchment areas of health-care facilities based on their utilization.

methodsThe catchment areas of six health-care facilities in Uganda were determined using the cumulative case ratio: the ratio of the observed to expected utilization of a facility for a particular condition by patients from small administrative areas. The cumulative case ratio for malaria-related visits to these facilities was determined using data from the Uganda Malaria Surveillance Project. Catchment areas were also derived using various straight line and road network distances from the facility. Subsequently, the 1-year cumulative malaria case rate was calculated for each catchment area, as determined using the three methods.

findingsThe 1-year cumulative malaria case rate varied considerably with the method used to define the catchment areas. With the cumulative case ratio approach, the catchment area could include noncontiguous areas. With the distance approaches, the denominator increased substantially with distance, whereas the numerator increased only slightly. The largest cumulative case rate per 1000 population was for the Kamwezi facility: 234.9 (95% confidence interval, CI: 226.2-243.8) for a straight-line distance of 5 km, 193.1 (95% CI: 186.8-199.6) for the cumulative case ratio approach and 156.1 (95% CI: 150.9-161.4) for a road network distance of 5 km.

conclusionUse of the cumulative case ratio for malaria-related visits to determine health-care facility catchment areas was feasible. Moreover, this approach took into account patients' actual addresses, whereas using distance from the facility did not.

Indexed as

Catchment Area, HealthCommunity Health ServicesHumansMalariaPublic Health SurveillanceResidence CharacteristicsSentinel SurveillanceUganda

Identifiers

PMID24700977
PMCPMC3949593

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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.