Evidence map›Paper›PMID 40255387›Full record

ArticleFrontiers in public health2025

What ails tuberculosis notification from the private sector in urban India: a qualitative study among stakeholders in Bengaluru City, southern India.

Anand D Meundi, Jan Hendrik Richardus

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

2 authors.

Anand D MeundiDepartment of Community Medicine, Dr. Chandramma Dayananda Sagar Institute of Medical Education and Research (CDSIMER), Dayananda Sagar University (DSU), Bengaluru, India.
Jan Hendrik RichardusDepartment of Public Health, Erasmus MC, University Medical Center, Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculosis (TB) case reporting is vital for national and subnational surveillance and is mandated in India since 2012. All health providers, public and private, must report through the web-based system, "Nikshay." The prevalence: notification ratio from 2019 to 2021 was 2.84 (prevalence was almost 3 times the notification), suggesting under-notification. This study explores the experiences, identifies barriers and facilitators, and examines perceptions regarding mandatory notification and incentives among private providers (PPs) in diverse contexts in Bengaluru city. Methods: Focused group discussions were held with specialist faculty of Pediatrics, Internal Medicine, and Pulmonology across three medical colleges and in-depth interviews included freelancing specialists and general practitioners. Data was collected in Bengaluru from January 2018 to July 2019, analyzed using a framework approach, referencing social learning theory, precede/proceed model, and theory of learned behavior. Thematic content analysis linked emerging themes to codes. Results: There was unmet expectation regarding lack of feedback from the NTEP regarding the patients notified. Emphasis on bacteriological diagnosis for every patient by NTEP deterred notification. Incentives were felt either to be insufficient for doctors or the PPs felt they were obliged to the national programme to notify. Barriers included obligation to maintain confidentiality, stigma, lack of knowledge of how to notify and facilitators included being recognized for their efforts and implementation of compulsory notification in letter and spirit. Conclusion: Strategies to minimize stigma through education of patients at diagnosis and regular communication with private providers about the notification process, guidelines, and policy improvements can decrease resistance to notification. Recognizing best practices and rewarding on professional platforms could motivate private providers, alongside continued monetary incentives. Finally, demonstrating effective implementation of mandatory notification provision may boost private providers' morale.

Indexed as

Mandatory ReportingPrivate SectorTuberculosisAdultAttitude of Health PersonnelDisease NotificationFemaleFocus GroupsHumansIndiaMaleQualitative ResearchexperiencesIndiamedical collegesprivate providerstuberculosis notification by specialists

Identifiers

PMID40255387
PMCPMC12006046

What Socratic holds

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LicenceCC BY
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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 Socratic graph.