Evidence map›Paper›PMID 30252849›Full record

ArticlePLoS medicine2018

Variations in the quality of tuberculosis care in urban India: A cross-sectional, standardized patient study in two cities.

Ada Kwan, Benjamin Daniels, Vaibhav Saria, Srinath Satyanarayana, Ramnath Subbaraman, Andrew McDowell, Sofi Bergkvist, Ranendra K Das, Veena Das, Jishnu Das and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 5 pooled it
10.4field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 5 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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  14. COVID-19 policies and tuberculosis services in private health sectors of India, Indonesia, and Nigeria.Journal of clinical tuberculosis and other mycobacterial diseases · 2025
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27 more citing papers are in PubMed but not listed here.

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.

Ada KwanDevelopment Research Group, The World Bank, Washington, District of Columbia, United States of America.ORCID 0000-0003-4889-9433
Benjamin DanielsDevelopment Research Group, The World Bank, Washington, District of Columbia, United States of America.ORCID 0000-0001-9652-6653
Vaibhav SariaInstitute for Socio-Economic Research on Development and Democracy, Delhi, India.
Srinath SatyanarayanaCenter for Operational Research, International Union Against TB and Lung Diseases, Paris, France.
Ramnath SubbaramanDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States of America.ORCID 0000-0002-2063-943X
Andrew McDowellCentre National de la Recherche Scientifique, Paris, France.
Sofi BergkvistACCESS Health International, New York, New York, United States of America.
Ranendra K DasInstitute for Socio-Economic Research on Development and Democracy, Delhi, India.
Veena DasDepartment of Anthropology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Jishnu DasDevelopment Research Group, The World Bank, Washington, District of Columbia, United States of America.
Madhukar PaiMcGill International TB Centre, McGill University, Montreal, Canada.ORCID 0000-0003-3667-4536
World Bank Group · USACCESS Health International · USCentre for Policy Research · INCentre National de la Recherche Scientifique · FRInternational Union Against Tuberculosis and Lung Disease · FRJohns Hopkins University · USManipal Academy of Higher Education · INTufts University · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
CIHRDoris Duke Charitable Foundation 2018095NCATS NIH HHS KL2 TR001100NIAID NIH HHS P30 AI060354
6 · The paper itself

Abstract

backgroundIndia has the highest burden of tuberculosis (TB). Although most patients with TB in India seek care from the private sector, there is limited evidence on quality of TB care or its correlates. Following our validation study on the standardized patient (SP) method for TB, we utilized SPs to examine quality of adult TB care among health providers with different qualifications in 2 Indian cities. METHODS AND

findingsDuring 2014-2017, pilot programs engaged the private health sector to improve TB management in Mumbai and Patna. Nested within these projects, to obtain representative, baseline measures of quality of TB care at the city level, we recruited 24 adults to be SPs. They were trained to portray 4 TB "case scenarios" representing various stages of disease and diagnostic progression. Between November 2014 and August 2015, the SPs visited representatively sampled private providers stratified by qualification: (1) allopathic providers with Bachelor of Medicine, Bachelor of Surgery (MBBS) degrees or higher and (2) non-MBBS providers with alternative medicine, minimal, or no qualifications. Our main outcome was case-specific correct management benchmarked against the Standards for TB Care in India (STCI). Using ANOVA, we assessed variation in correct management and quality outcomes across (a) cities, (b) qualifications, and (c) case scenarios. Additionally, 2 micro-experiments identified sources of variation: first, quality in the presence of diagnostic test results certainty and second, provider consistency for different patients presenting the same case. A total of 2,652 SP-provider interactions across 1,203 health facilities were analyzed. Based on our sampling strategy and after removing 50 micro-experiment interactions, 2,602 interactions were weighted for city-representative interpretation. After weighting, the 473 Patna providers receiving SPs represent 3,179 eligible providers in Patna; in Mumbai, the 730 providers represent 7,115 eligible providers. Correct management was observed in 959 out of 2,602 interactions (37%; 35% weighted; 95% CI 32%-37%), primarily from referrals and ordering chest X-rays (CXRs). Unnecessary medicines were given to nearly all SPs, and antibiotic use was common. Anti-TB drugs were prescribed in 118 interactions (4.5%; 5% weighted), of which 45 were given in the case in which such treatment is considered correct management. MBBS and more qualified providers had higher odds of correctly managing cases than non-MBBS providers (odds ratio [OR] 2.80; 95% CI 2.05-3.82; p < 0.0001). Mumbai non-MBBS providers had higher odds of correct management than non-MBBS in Patna (OR 1.79; 95% CI 1.06-3.03), and MBBS providers' quality of care did not vary between cities (OR 1.15; 95% CI 0.79-1.68; p = 0.4642). In the micro-experiments, improving diagnostic certainty had a positive effect on correct management but not across all quality dimensions. Also, providers delivered idiosyncratically consistent care, repeating all observed actions, including mistakes, approximately 75% of the time. The SP method has limitations: it cannot account for patient mix or care-management practices reflecting more than one patient-provider interaction.

conclusionsQuality of TB care is suboptimal and variable in urban India's private health sector. Addressing this is critical for India's plans to end TB by 2025. For the first time, we have rich measures on representative levels of care quality from 2 cities, which can inform private-sector TB interventions and quality-improvement efforts.

Indexed as

AdultAntitubercular AgentsCitiesCross-Sectional StudiesFemaleHumansIndiaMalePrivate SectorQuality of Health CareReferral and ConsultationTuberculosis, PulmonaryUrban HealthAntitubercular Agents

Identifiers

PMID30252849
PMCPMC6155454
OpenAlexW2893416956

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.