Evidence map›Paper›PMID 40242683›Full record

ArticleCureus2025

Bridging Gaps in Tuberculosis Control: A Culturally Competent Approach for Tribal Populations in India.

Akash G Prabhune, Priyanka Dadha

Abstract readEditorial
In one paragraph

Article in Cureus, 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Akash G PrabhuneHealth and Information Technology, ADMIRE Centre for Advancing Digital Health, Institute of Health Management Research-Bangalore (IIHMR-B), Bengaluru, IND.
Priyanka DadhaNutrition, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains a major health challenge in India, with a significant burden among tribal populations. These communities experience disproportionately high TB prevalence due to factors such as geographical isolation, socio-economic challenges, and cultural practices, further worsened by malnutrition, overcrowded living conditions, and limited awareness. Despite efforts under national programs aimed at eliminating TB, various socio-cultural and logistical barriers continue to impede progress in tribal regions. This discussion underscores the need for culturally sensitive healthcare approaches to effectively address these challenges. A structured framework focusing on cultural awareness, knowledge, sensitivity, and competence is recommended to develop tailored interventions. Key strategies include training healthcare workers to understand tribal customs, creating accessible educational materials, involving tribal leaders in stigma-reduction efforts, and integrating traditional practices with modern healthcare systems. To achieve impactful outcomes, it is essential to enhance healthcare infrastructure, implement customized awareness campaigns, address underlying socio-economic issues, and leverage technology for better outreach and adherence. Real-world examples from tribal regions illustrate both advancements and ongoing gaps in TB care. A collaborative effort among various stakeholders is crucial to bridge healthcare disparities and empower tribal communities in the fight against TB, ultimately contributing to the national goal of its elimination while improving the overall well-being of these populations.

Indexed as

culturally competent healthcarenational tuberculosis elimination program (ntep)socio-cultural barriers to healthcartribal populations in indiatuberculosis (tb) elimination

Identifiers

PMID40242683
PMCPMC12000701

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.