Evidence map›Paper›PMID 31557170›Full record

ArticlePloS one2019

Analyzing data from the digital healthcare exchange platform for surveillance of antibiotic prescriptions in primary care in urban Kenya: A mixed-methods study.

Legese A Mekuria, Tobias Fr de Wit, Nicole Spieker, Ramona Koech, Robert Nyarango, Stanley Ndwiga, Christine J Fenenga, Alice Ogink, Constance Schultsz, Anja Van't Hoog

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 12% of its field
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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Legese A MekuriaAmsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands.ORCID 0000-0003-0534-7022
Tobias Fr de WitAmsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands.
Nicole SpiekerPharmAccess Foundation, Nairobi, Kenya.
Ramona KoechPharmAccess Foundation, Nairobi, Kenya.
Robert NyarangoGertrude's Children's Hospital, Nairobi, Kenya.
Stanley NdwigaGertrude's Children's Hospital, Nairobi, Kenya.
Christine J FenengaPharmAccess Foundation, Amsterdam, The Netherlands.
Alice OginkPharmAccess Foundation, Amsterdam, The Netherlands.
Constance SchultszAmsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands.
Anja Van't HoogAmsterdam Institute for Global Health and Development (AIGHD), Amsterdam, The Netherlands.ORCID 0000-0002-6358-0394
Amsterdam Institute for Global Health and Development · NLPharmAccess Group · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of antibiotic prescription practices in low- and middle-income countries is limited due to a lack of adequate surveillance systems.

objectiveTo assess the prescription of antibiotics for the treatment of acute respiratory tract infections (ARIs) in primary care.

methodAn explanatory sequential mixed-methods study was conducted in 4 private not-for-profit outreach clinics located in slum areas in Nairobi, Kenya. Claims data of patients who received healthcare between April 1 and December 27, 2016 were collected in real-time through a mobile telephone-based healthcare data and payment exchange platform (branded as M-TIBA). These data were used to calculate the percentage of ARIs for which antibiotics were prescribed. In-depth interviews were conducted among 12 clinicians and 17 patients to explain the quantitative results.

resultsA total of 49,098 individuals were registered onto the platform, which allowed them to access healthcare at the study clinics through M-TIBA. For 36,210 clinic visits by 21,913 patients, 45,706 diagnoses and 85,484 medication prescriptions were recorded. ARIs were the most common diagnoses (17,739; 38.8%), and antibiotics were the most frequently prescribed medications (21,870; 25.6%). For 78.5% (95% CI: 77.9%, 79.1%) of ARI diagnoses, antibiotics were prescribed, most commonly amoxicillin (45%; 95% CI: 44.1%, 45.8%). These relatively high levels of prescription were explained by high patient load, clinician and patient perceptions that clinicians should prescribe, lack of access to laboratory tests, offloading near-expiry drugs, absence of policy and surveillance, and the use of treatment guidelines that are not up-to-date. Clinicians in contrast reported to strictly follow the Kenyan treatment guidelines.

conclusionThis study showed successful quantification of antibiotic prescription and the prescribing pattern using real-world data collected through M-TIBA in private not-for-profit clinics in Nairobi.

Indexed as

AdolescentAnti-Bacterial AgentsChildChild, PreschoolFemaleHealth Information SystemsHealth SurveysHumansInappropriate PrescribingKenyaMalePractice Patterns, Physicians'Primary Health CareRespiratory Tract InfectionsUrban PopulationYoung AdultAnti-Bacterial Agents

Identifiers

PMID31557170
PMCPMC6762089
OpenAlexW4231223474

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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.