ArticleBMC public health2022
Predictors of loss to follow-up among adult tuberculosis patients in Southern Ethiopia: a retrospective follow-up study.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Barriers to treatment completion among drug-sensitive tuberculosis patients: evidence from Indonesia's tuberculosis surveillance system.Osong public health and research perspectives · 2026Article
- Predicting patient dropout: a nomogram for loss to follow-up afterFrontiers in public health · 2026Article
- Prediction of 30-day unplanned hospital readmission among elderly patients using patient and ward level factors.Scientific reports · 2025Article
- Patient mobility and travel distance to receive drug-resistant tuberculosis treatment, and their associations with loss to follow-up in Guizhou Province, China.BMC infectious diseases · 2025Article
- A qualitative exploration of community knowledge, attitudes, and practices towards tuberculosis in the Karamoja subregion, northeastern Uganda.BMC health services research · 2024Article
- Risk Factors Associated with Loss to Follow-Up during Tuberculosis Treatment in the Sanatorium Hospital of Luanda, Angola.Tropical medicine and infectious disease · 2024Article
- The clinical profile and outcomes of drug resistant tuberculosis in Central Province of Zambia.BMC infectious diseases · 2024Review
- T-BACCO SCORE: A predictive scoring tool for tuberculosis (TB) loss to follow-up among TB smokers.PloS one · 2023Article
- TB treatment non-adherence in São Tomé and Príncipe.Public health action · 2022Article
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5 authors.
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Abstract
backgroundLoss to follow-up (LTFU) from tuberculosis (TB) treatment and care is a major public health problem as patients can be infectious and also may develop a multi-drug resistant TB (MDR-TB). The study aimed to assess whether LTFU differs by the distance TB patients travelled to receive care from the nearest health facility.
methodsA total of 402 patient cards of TB patients who received care were reviewed from March 1-30, 2020. The Kaplan-Meir curve with the Log-rank test was used to compare differences in LTFU by the distance travelled to reach to the nearest health facility for TB care. The Cox proportional hazard regression model was used to identify predictors. All statistical tests are declared significant at a p-value< 0.05.
resultsA total of 37 patients were LTFU with the incidence rate of 11.26 per 1000 person-months of observations (PMOs) (95% CI: 8.15-15.53). The incidence rate ratio was 12.19 (95% CI: 5.01-35.73) among the groups compared (those who travelled 10 km or more versus those who travelled less than 10 km). Age ≥ 45 years (aHR = 7.71, 95% CI: 1.72, 34.50), educational status (primary schooling, aHR = 3.54, 95% CI: 1.49, 8.40; secondary schooling, aHR = 2.75, 95% CI: 1.08, 7.03), lack of family support (aHR = 2.80, 95% CI: 1.27, 6.19), nutritional support (aHR = 3.40, 95% CI:1.68, 6.89), ≥ 10 km distance to travel to a health facility (aHR = 6.06, 95% CI: 2.33, 15.81) had significantly predicted LTFU from TB treatment and care.
conclusionsLTFU from adult TB care and treatment was 12 times higher among those who travelled ≥10 km to reach a health facility compared to those who travelled less. To retain adult TB patients in care and ensure appropriate treatment, health professionals and other stakeholders should give due attention to the factors that drive LTFU. We suggest identifying concerns of older patients at admission and those who travel long distance and establish social support platforms that could help people to complete TB treatment.
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