ArticleNigerian medical journal : journal of the Nigeria Medical Association
Medication Adherence among Pulmonary Tuberculosis Patients in Treatment Centers in a Southern Nigerian Local Government Area: Question Mark on Performance of DOTS Services.
Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Linking prevention and adherence: a behavioural study on treatment compliance to preventing TB transmission.IJTLD open · 2026Article
- Measurement of Tuberculosis treatment adherence: A methodological scoping review of observational studies.PLOS global public health · 2026Article
- TB-Related Stigma: A Hidden Obstacle to Adherence Monitoring with Video Directly Observed Treatment Among Patients with Tuberculosis in Uganda.Research square · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Directly observed treatment short-course (DOTS) offers free, accessible and effective treatments with high treatment success rate and retention. Despite this, evidence from Rivers State suggest a downward trend in tuberculosis (TB) cure rate and a high burden of drug resistance among pulmonary tuberculosis (PTB) patients. Medication adherence appears to play a key role in TB evolution. Aim: to assess medication adherence and its determinants among pulmonary TB clients in DOTS centers. Methodology: A total of 225 adult PTB clients from eightactive DOTS centers in Obio/Akpor Local Government Area of Rivers State were selected. A validated questionnaire, Morisky Medication adherence Scale-8 was used to collect medication-taking behaviour of clients, dichotomised into adherent and non-adherent. Binary logistic regression was conducted to check crude association between medication adherence and client/treatment factors. Variables with p<0.2 were selected and subjected to multivariate logistic regression with alpha set at p<0.05. Results: Non-adherence to medication was 35.1% with forgetfulness and stress with medication plan as top reasons for non-adherence. Factors associated with non-adherence included persisting sputum production (aOR: 2.951(1.027-8.482);p=0.045), past treatment history (aOR: 5.422(1.93-15.228);p=0.001) and smoking (aOR: 7.779(1.58-38.305);p=0.012). Conclusion: Over one-thirds of PTB clients in DOTS centers in Obio/Akpor LGA were non-adherent to anti-TB medications. Factors associated with non-adherence included persisting sputum production, past treatment history and smoking. To attenuate these risk factors for non-adherence, training and retraining of DOTS center staff on counselling is a smart option that can be explored by the LGA, providers and managers of the DOTS programme.
Indexed as
Identifiers
38867749PMC11165329What 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.