Evidence map›Paper›PMID 41070318›Full record

ArticlePakistan journal of medical sciences2025

Exploring the Socio-cultural Dynamics of Treatment Adherence amongst Females living with Pulmonary Tuberculosis in Karachi, Pakistan.

Abeer Mian, Mehjabeen Musharraf, Lubna Ansari Baig

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Abeer MianAbeer Mian, PhD Population & Public Health, Senior Instructor, Community Health Sciences Department, The Aga Khan University, Karachi Pakistan.
Mehjabeen MusharrafMehjabeen Musharraf, MSPH Instructor, Westman Immigrant Services, Manitoba, Canada.
Lubna Ansari BaigLubna Ansari Baig, Ph.D. Program Professor, Director, University College of Medicine and Dentistry, The University of Lahore, Lahore Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore socio-cultural and grassroots factors influencing treatment non-adherence amongst females living with Pulmonary Tuberculosis (TB). Methodology: A qualitative Phenomenological design was adopted. Twelve in-depth interviews were conducted at a TB Clinic in Karachi (The Behbud Health Clinic) from February, 2020 to May, 2020 with participants including (i) females living with Pulmonary TB and (ii) healthcare providers engaged in TB service-provision. Interviews were semi-structured and conducted in-person. Data was analyzed inductively using thematic analysis. Results: Three themes contributing to treatment non-adherence emerged, which are: i) the burden of home-making with sub-themes of a culture of matriarchy, traditional household norms, and intended non-disclosure of TB status; ii) the journey of pursing treatment with subthemes of challenges in accessing diagnostic services, barriers in treatment adherence/continuation, unique treatment-related misconceptions; and iii) TB myths with subthemes emphasizing local rumors and an inherent lack of trust in public healthcare services. Conclusion: This study reveals important grassroots, socio-cultural and physical barriers to treatment adherence among women, including gender, social norms and treatment demands. Addressing these requires a holistic approach prioritizing community awareness with a focus on understanding day-to-day lived experiences of TB and building healthcare provider capacity to provide treatment services that are responsive and sensitive to these barriers.

Indexed as

Gender normsPulmonary TuberculosisSocio-cultural contextTreatment adherence

Identifiers

PMID41070318
PMCPMC12505931

What OpenQuestion holds

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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 OpenQuestion graph.