Evidence map›Paper›PMID 27568359›Full record

ArticleThe Lancet. Infectious diseases2016

Use of standardised patients to assess antibiotic dispensing for tuberculosis by pharmacies in urban India: a cross-sectional study.

Srinath Satyanarayana, Ada Kwan, Benjamin Daniels, Ramnath Subbaraman, Andrew McDowell, Sofi Bergkvist, Ranendra K Das, Veena Das, Jishnu Das, Madhukar Pai

Abstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Srinath SatyanarayanaMcGill International Tuberculosis Centre & Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Ada KwanDevelopment Research Group, The World Bank, Washington, DC, USA.
Benjamin DanielsDevelopment Research Group, The World Bank, Washington, DC, USA.
Ramnath SubbaramanDivision of Infectious Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Andrew McDowellMcGill International Tuberculosis Centre & Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Sofi BergkvistACCESS Health International, Hyderabad, India.
Ranendra K DasInstitute for Social and Economic Research on Development and Democracy, Delhi, India.
Veena DasDepartment of Anthropology, Johns Hopkins University, Baltimore, MD, USA.
Jishnu DasDevelopment Research Group, The World Bank, Washington, DC, USA; Center for Policy Research, New Delhi, India.
Madhukar PaiMcGill International Tuberculosis Centre & Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada; Manipal McGill Center for Infectious Diseases, Manipal University, Manipal, India. Electronic address: madhukar.pai@mcgill.ca.

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
Global Health Fellows and Scholars Research TrainingR25TW009338 · FIC · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARRY, MICHELE, KO, ALBERT ICKSANG · 2012 to 2016
$5.2M
FIC NIH HHS D43 TW010540FIC NIH HHS R25 TW009338
6 · The paper itself

Abstract

backgroundIndia's total antibiotic use is the highest of any country. Patients often receive prescription-only drugs directly from pharmacies. Here we aimed to assess the medical advice and drug dispensing practices of pharmacies for standardised patients with presumed and confirmed tuberculosis in India.

methodsIn this cross-sectional study in the three Indian cities Delhi, Mumbai, and Patna, we developed two standardised patient cases: first, a patient presenting with 2-3 weeks of pulmonary tuberculosis symptoms (Case 1); and second, a patient with microbiologically confirmed pulmonary tuberculosis (Case 2). Standardised patients were scheduled to present each case once to sampled pharmacies. We defined ideal management for both cases a priori as referral to a health-care provider without dispensing antibiotics or steroids or both.

findingsBetween April 1, 2014, and Nov 29, 2015, we sampled 622 pharmacies in Delhi, Mumbai, and Patna. Standardised patients completed 1200 (96%) of 1244 interactions. We recorded ideal management (defined as referrals without the use of antibiotics or steroids) in 80 (13%) of 599 Case 1 interactions (95% CI 11-16) and 372 (62%) of 601 Case 2 interactions (95% CI 58-66). Antibiotic use was significantly lower in Case 2 interactions (98 [16%] of 601, 95% CI 13-19) than in Case 1 (221 [37%] of 599, 95% CI 33-41). First-line anti-tuberculosis drugs were not dispensed in any city. The differences in antibiotic or steroid use and number of medicines dispensed between Case 1 and Case 2 were almost entirely attributable to the difference in referral behaviour.

interpretationOnly some urban Indian pharmacies correctly managed patients with presumed tuberculosis, but most correctly managed a case of confirmed tuberculosis. No pharmacy dispensed anti-tuberculosis drugs for either case. Absence of a confirmed diagnosis is a key driver of antibiotic misuse and could inform antimicrobial stewardship interventions.

fundingGrand Challenges Canada, Bill & Melinda Gates Foundation, Knowledge for Change Program, and World Bank Development Research Group.

Indexed as

Prescription Drug MisuseAnti-Bacterial AgentsCounselingCross-Sectional StudiesHumansIndiaPharmaciesSurveys and QuestionnairesTuberculosis, PulmonaryAnti-Bacterial Agents

Identifiers

PMID27568359
PMCPMC5067371

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.