SynthesisBMC public health2025
Barriers to and enablers of adherence to the treatment of active drug-sensitive tuberculosis in people living with HIV: a mixed method systematic review.
Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Developing an integrated medication event monitoring system and smartphone-based ecological momentary assessment delivery platform to identify real-time factors influencing TB treatment adherence in South Africa.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdherence to tuberculosis (TB) treatment is essential in improving treatment outcomes and reducing TB-related mortality. People living with HIV (PLWH) are at a higher risk of developing and dying from TB. This systematic review aims to identify barriers and enablers affecting TB treatment adherence among people with HIV/TB coinfection.
methodsA systematic search of the literature was carried out in January 2023 across four databases including MEDLINE, EMBASE, CINAHL, and the Cochrane Database of Systematic Reviews. The search strategy incorporated both subject keywords and MeSH terms related to "tuberculosis" AND "HIV" AND "adherence" AND "barriers" OR "enablers" and relevant synonyms, limited to English language publications from 2010 onwards. An integrative method was used to synthesise the data obtained from selected studies. Identified factors were categorized using a modified World Health Organization (WHO) framework for treatment adherence.
resultsOf the 3,216 studies yielded by the search, 21 studies met the inclusion criteria and were included in the final analysis. Reported barriers to adherence included male gender, presence of comorbidities, advanced HIV/TB disease, alcohol consumption, tobacco use, low socioeconomic status, limited knowledge of TB, stigma, negative interactions with healthcare services, and systemic deficiencies in healthcare delivery. In contrast, enablers of adherence included being married, educational achievement, employment, social support, nutritional support, SMS reminders, adequate disease knowledge, concurrent antiretroviral therapy (ART), and positive relationships with healthcare providers. The influence of factors such as age, family size, partner's HIV status, and partner's ART status on adherence remained inconclusive.
conclusionAdherence to TB treatment among individuals with HIV/TB coinfection is significantly influenced by social determinants, including educational level, socioeconomic status, and the quality of healthcare service delivery. Targeted interventions addressing these determinants may enhance treatment adherence and improve treatment outcomes.
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.