ArticlePloS one2024
Mental health issues associated with the management of tuberculosis in Homabay, Busia and Kakamega Counties, Kenya.
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 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Addressing Stigma, Mental Well-Being, and Alcohol Use among People with Tuberculosis in Sub-Saharan Africa: A Call for an Integrated Care Model.The American journal of tropical medicine and hygiene · 2025Article
- The burden of tuberculosis and drug resistance in 22 Sub-Saharan African countries, 1990-2021: a GBD 2021 analysis and progress towards WHO 2035 targets with projections to 2050.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the implementation of patient-centred care, mental health issues remain a significant risk factor and comorbidity for Tuberculosis (TB) disease. Mental health issues being co-morbidities to TB are likely to increase the disease burden of the affected population. This study therefore investigated the prevalence and impact of mental health issues in Tuberculosis (TB) patients.
methodsThis cross-sectional study design used mixed methods in data collection. The study used structured questionnaires, key informant interviews and focus group discussions. 127 TB patients were purposively selected from a group of patients who previously recovered successfully, with a history of relapse or are currently on TB treatment in high-volume facilities in Homa Bay, Busia and Kakamega Counties. 30 Key informant interviews were conducted with Healthcare workers. Quantitative data analysis was done using STATA version 14. Thematic analysis was employed to analyze qualitative data using NVivo version 10.
resultsThe findings showed that the most common mental health issues affecting TB patients were anxiety (66%) and depression (55%), which were commonly experienced during the presumptive stage of TB. Qualitative data revealed that stigma was the main barrier that hindered TB patients from accessing care. TB patients articulated the benefits of support structures ranging from positive encouragement, reminders on taking drugs, accompaniment to the clinic, and financial support in TB management. Furthermore, the study established that the majority of Health Care Workers (HCWs) were not prepared to handle TB patients' mental issues, a gap that is likely to impact the quality of care TB patients receive.
conclusionThe study established that mental health issues impact TB treatment outcomes. Healthcare systems should prioritize the integration of mental health care into TB programs to address the high prevalence of mental health issues among TB patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.