Evidence map›Paper›PMID 39495760›Full record

ArticlePloS one2024

Bridging the "know-do" gap to improve active case finding for tuberculosis in India: A qualitative exploration into national tuberculosis elimination program staffs' perspectives.

Hemant Deepak Shewade, Prabhadevi Ravichandran, S Kiran Pradeep, G Kiruthika, Devika Shanmugasundaram, Joshua Chadwick, Swati Iyer, Aniket Chowdhury, Dheeraj Tumu, Amar N Shah and 6 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. A Point-of-Care Prediction Tool for Recurrent Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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

16 authors.

Hemant Deepak ShewadeICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.ORCID 0000-0002-8242-1911
Prabhadevi RavichandranICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.ORCID 0000-0001-9221-2251
S Kiran PradeepICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.ORCID 0000-0002-0597-7174
G KiruthikaICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.ORCID 0000-0002-9431-2042
Devika ShanmugasundaramICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.
Joshua ChadwickICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.
Swati IyerOffice of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi, India.
Aniket ChowdhuryOffice of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi, India.
Dheeraj TumuOffice of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi, India.
Amar N ShahUSAID India, New Delhi, India.
Bhavin VaderaUSAID India, New Delhi, India.ORCID 0000-0003-0902-2575
Venkatesh RoddawarJohn Snow India Private Ltd., New Delhi, India.
Sanjay K MattooCentral TB Division, Ministry of Health and Family Welfare, New Delhi, India.ORCID 0000-0001-9711-321X
Kiran RadeOffice of the World Health Organization (WHO) Representative to India, WHO Country Office, New Delhi, India.
Raghuram RaoCentral TB Division, Ministry of Health and Family Welfare, New Delhi, India.
Manoj V MurhekarICMR - National Institute of Epidemiology (ICMR-NIE), Chennai, India.

Funding

United States Agency for International Development (USAID) 0011-0549-1024 AND 0011-0549-1025World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2022, India's national tuberculosis (TB) elimination program (NTEP) commissioned a national level evaluation of active case finding (ACF) for TB to guide evidence-based strategic planning. As part of this evaluation, based on secondary data analysis we observed that the quality of ACF was suboptimal in 2021. Hence, this study aimed to understand the enablers, barriers, and suggested solutions to improve ACF for TB in India from NTEP staff (provider) perspective.

methodsThis was a descriptive qualitative study involving key informant interviews from six districts and eight states, conducted between February and August 2023. We purposively selected key state- district- and sub-district-level program managers and implementers who were experienced and vocal. The interviews were audio recorded and transcribed verbatim by research interns and investigators. Two investigators independently did manual descriptive thematic analysis, and a third investigator resolved inconsistencies. The themes and categories emerged by collating together the results of the coding process.

resultsA total of 34 key informant interviews were conducted and of these, four were repeat interviews. Adequate budgets for ACF including incentives, performance review mechanism, engagement of all stakeholders, adopting a community friendly approach, use of rapid diagnostic tests and digitalization were the perceived enablers. In some states ACF was implemented in general population (not restricted to high-risk population) following directives at state level. There were limited mechanisms to ensure ACF quality indicators were met before disbursing incentives and cross-verification of the aggregate ACF care cascade numbers that were reported in Ni-kshay (electronic TB information management system under NTEP). In addition to the state and district level implementers having limited understanding of concepts around ACF (quality indicators, number needed to screen and yield), we also inferred the presence of a 'know-do' gap for many activities under ACF. The suggested solutions were around capacity building and quality improvement strategies.

conclusionThe existing national ACF guidance should be revised to emphasize capacity building, need to carry out ACF in high-risk (not general) population, quality control-linked incentives, and regular implementation monitoring of the activities. This should contribute towards better coverage and improved quality translating into better ACF outcomes.

Indexed as

Attitude of Health PersonnelHealth PersonnelNational Health ProgramsQualitative ResearchTuberculosisCapacity BuildingFemaleHumansIndiaInterviews as TopicMaleMiddle AgedMotivationQuality ImprovementQuality Indicators, Health CareRisk Factors

Identifiers

PMID39495760
PMCPMC11534205

What OpenQuestion holds

Textmetadata
LicenceCC0
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.