Observational studyBMC pulmonary medicine2021
Determinant factors for loss to follow-up in drug-resistant tuberculosis patients: the importance of psycho-social and economic aspects.
Observational study in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 53 citations in OpenAlex.
- Rethinking Tuberculosis Treatment Abandonment in Latin America: A Biopsychosocial Perspective and an Integrated Model for Continuity of Care.Diseases (Basel, Switzerland) · 2026Article
- Article
- Evaluating tuberculosis treatment outcomes and predictors in five Southern African countries: A multi-country cohort analysis.medRxiv : the preprint server for health sciences · 2026Article
- Predicting patient dropout: a nomogram for loss to follow-up afterFrontiers in public health · 2026Article
- Patient-centred interventions for drug-resistant tuberculosis: A scoping review.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025Article
- Article
- A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar.Scientific reports · 2025Article
- Pre-treatment loss to follow-up and associated factors among drug-resistant tuberculosis patients diagnosed in Wakiso district, central Uganda.BMC infectious diseases · 2025Article
- Comparison of Patients Who Were Not Evaluated and Lost to Follow-Up with Multidrug/Rifampin-Resistant Tuberculosis in South Korea.Yonsei medical journal · 2025Article
- Rifampicin-resistant tuberculosis in Fujian Province, Southeast China: a retrospective analysis of drug resistance screening and treatment outcomes, 2019-2024.Frontiers in public health · 2025Observational
- Predictors of treatment delay among drug resistant tuberculosis patients in Uganda.BMC infectious diseases · 2024Article
- Drug-resistant TB in Morobe Province, Papua New Guinea, 2012-2021.Public health action · 2024Article
- Predicting Treatment Outcomes in Patients with Drug-Resistant Tuberculosis and Human Immunodeficiency Virus Coinfection, Using Supervised Machine Learning Algorithm.Pathogens (Basel, Switzerland) · 2024Article
- Drug resistance profiles ofJAC-antimicrobial resistance · 2024Article
- Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment.BMC public health · 2024Article
- The clinical profile and outcomes of drug resistant tuberculosis in Central Province of Zambia.BMC infectious diseases · 2024Review
- Why do patients with DR-TB do not complete their treatment? Findings of a qualitative study from Pakistan.BMJ open respiratory research · 2024Article
- Management of rifampicin-resistant tuberculosis in conflict-affected areas: The case of Iraq.PloS one · 2024Article
- Prevalence, Clinical Characteristics and Determinants of Unsuccessful Treatment Outcomes Among Pulmonary Tuberculosis Patients: A 5-Year Registry-Based Retrospective Cohort Study.Patient related outcome measures · 2024Article
- Effect of Cost-Exemption Policy on Treatment Interruption in Patients With Newly Diagnosed Pulmonary Tuberculosis in South Korea.International journal of health policy and management · 2024Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-resistant tuberculosis (DR-TB) is the barrier for global TB elimination efforts with a lower treatment success rate. Loss to follow-up (LTFU) in DR-TB is a serious problem, causes mortality and morbidity for patients, and leads to wide spreading of DR-TB to their family and the wider community, as well as wasting health resources. Prevention and management of LTFU is crucial to reduce mortality, prevent further spread of DR-TB, and inhibit the development and transmission of more extensively drug-resistant strains of bacteria. A study about the factors associated with loss to follow-up is needed to develop appropriate strategies to prevent DR-TB patients become loss to follow-up. This study was conducted to identify the factors correlated with loss to follow-up in DR-TB patients, using questionnaires from the point of view of patients.
methodsAn observational study with a cross-sectional design was conducted. Study subjects were all DR-TB patients who have declared as treatment success and loss to follow-up from DR-TB treatment. A structured questionnaire was used to collect information by interviewing the subjects as respondents. Obtained data were analyzed potential factors correlated with loss to follow-up in DR-TB patients.
resultsA total of 280 subjects were included in this study. Sex, working status, income, and body mass index showed a significant difference between treatment success and loss to follow-up DR-TB patients with p-value of 0.013, 0.010, 0.007, and 0.006, respectively. In regression analysis, factors correlated with increased LTFU were negative attitude towards treatment (OR = 1.2; 95% CI = 1.1-1.3), limitation of social support (OR = 1.1; 95% CI = 1.0-1.2), dissatisfaction with health service (OR = 2.1; 95% CI = 1.5-3.0)), and limitation of economic status (OR = 1.1; 95% CI = 1.0-1.2)).
conclusionsMale patients, jobless, non-regular employee, lower income, and underweight BMI were found in higher proportion in LTFU patients. Negative attitude towards treatment, limitation of social support, dissatisfaction with health service, and limitation of economic status are factors correlated with increased LTFU in DR-TB patients. Non-compliance to treatment is complex, we suggest that the involvement and support from the combination of health ministry, labor and employment ministry, and social ministry may help to resolve the complex problems of LTFU in DR-TB patients.
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