Evidence map›Paper›PMID 35042710›Full record

ArticleBMJ global health2022

Prescribing practices for presumptive TB among private general practitioners in South Africa: a cross-sectional, standardised patient study.

Angela Salomon, Jody Boffa, Sizulu Moyo, Jeremiah Chikovore, Giorgia Sulis, Benjamin Daniels, Ada Kwan, Tsatsawani Mkhombo, Sarah Wu, Madhukar Pai and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 8 institutions in 4 countries.

Angela SalomonSchool of Medicine, Queen's University, Kingston, Ontario, Canada.ORCID 0000-0003-1856-953X
Jody BoffaDivision of Biostatistics and Epidemiology, Stellenbosch University, Stellenbosch, South Africa.
Sizulu MoyoHuman and Social Capabilities Programme, Human Sciences Research Council, Cape Town, South Africa.
Jeremiah ChikovoreHuman and Social Capabilities Programme, Human Sciences Research Council, Cape Town, South Africa.ORCID 0000-0002-4910-6952
Giorgia SulisMcGill International TB Centre, McGill University, Montréal, Quebec, Canada.ORCID 0000-0001-6641-0094
Benjamin DanielsMcCourt School of Public Policy, Georgetown University, Washington, DC, USA.ORCID 0000-0001-9652-6653
Ada KwanDivision of Pulmonary and Critical Care Medicine, University of California School of Medicine, San Francisco, California, USA.
Tsatsawani MkhomboHuman and Social Capabilities Programme, Human Sciences Research Council, Durban, South Africa.
Sarah WuMailman School of Public Health, Columbia University, New York, New York, USA.
Madhukar PaiMcGill International TB Centre, McGill University, Montréal, Quebec, Canada.ORCID 0000-0003-3667-4536
Amrita DaftarySchool of Global Health & Dahdaleh Institute of Global Health Research, York University, Toronto, Ontario, Canada adaftary@yorku.ca.ORCID 0000-0003-2275-3540
Human Sciences Research Council · ZAMcGill University Health Centre · CAColumbia University · USGeorgetown University · USQueen's University · CAStellenbosch University · ZAUniversity of California System · USYork University · CA

Funding

Gates Foundation INV-006976
6 · The paper itself

Abstract

introductionMedicine prescribing practices are integral to quality of care for leading infectious diseases such as tuberculosis (TB). We describe prescribing practices in South Africa's private health sector, where an estimated third of people with TB symptoms first seek care.

methodsSixteen standardised patients (SPs) presented one of three cases during unannounced visits to private general practitioners (GPs) in Durban and Cape Town: TB symptoms, HIV-positive; TB symptoms, a positive molecular test for TB, HIV-negative; and TB symptoms, history of incomplete TB treatment, HIV-positive. Prescribing practices were recorded in standardised exit interviews and analysed based on their potential to contribute to negative outcomes, including increased healthcare expenditures, antibiotic overuse or misuse, and TB diagnostic delay. Factors associated with antibiotic use were assessed using Poisson regression with a robust variance estimator.

resultsBetween August 2018 and July 2019, 511 SP visits were completed with 212 GPs. In 88.5% (95% CI 85.2% to 91.1%) of visits, at least one medicine (median 3) was dispensed or prescribed and most (93%) were directly dispensed. Antibiotics, which can contribute to TB diagnostic delay, were the most common medicine (76.5%, 95% CI 71.7% to 80.7% of all visits). A majority (86.1%, 95% CI 82.9% to 88.5%) belonged to the WHO Access group; fluoroquinolones made up 8.8% (95% CI 6.3% to 12.3%). Factors associated with antibiotic use included if the SP was asked to follow-up if symptoms persisted (RR 1.14, 95% CI 1.04 to 1.25) and if the SP presented as HIV-positive (RR 1.11, 95% CI 1.01 to 1.23). An injection was offered in 31.9% (95% CI 27.0% to 37.2%) of visits; 92% were unexplained. Most (61.8%, 95% CI 60.2% to 63.3%) medicines were not listed on the South African Primary Healthcare Essential Medicines List.

conclusionPrescribing practices among private GPs for persons presenting with TB-like symptoms in South Africa raise concern about inappropriate antimicrobial use, private healthcare costs and TB diagnostic delay.

Indexed as

General PractitionersPrescriptionsTuberculosisCross-Sectional StudiesDelayed DiagnosisHumansSouth Africaepidemiologyhealth services researchHIVscreeningtuberculosis

Identifiers

PMID35042710
PMCPMC8768922
OpenAlexW4205714483

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.