Evidence map›Paper›PMID 40745635›Full record

ArticleBMC infectious diseases2025

Pre-treatment loss to follow-up and associated factors among drug-resistant tuberculosis patients diagnosed in Wakiso district, central Uganda.

James Arinaitwe, James Muleme, Perez N Ochanda, Rebecca Nuwematsiko, Samson Omongot, Barnabas Bakamutumaho, Esther Buregyeya

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

James ArinaitweSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda. arinaitwejim@gmail.com.ORCID http://orcid.org/0000-0003-2618-4752
James MulemeSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Perez N OchandaSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Rebecca NuwematsikoSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Samson OmongotSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Barnabas BakamutumahoSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Esther BuregyeyaSchool of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis ranks among the top ten causes of death worldwide. The Sub-Saharan African region faces increasing trends of Drug-Resistant Tuberculosis (DR-TB), further complicating the existing efforts for prevention, control, and eradication. Pre-treatment loss to follow-up (LTFU) among diagnosed DR-TB patients also signifies a setback in the timely prevention of disease progression and transmission, especially in low-resource settings. This study assessed the magnitude of and factors associated with pre-treatment LTFU among DR-TB patients within Wakiso district, central Uganda.

methodA sequential explanatory study design was adopted to analyze electronic case-based surveillance (eCBSS) data between 2017 to 2022 from the Ministry of Health, Uganda. Participants for qualitative data comprised of six (6) key informant interviews and 2 focus group discussions among health workers and DR-TB patients respectively.

resultsOut of the 972 records retrieved from the eCBSS system for patients treated at Mulago National Referral Hospital from 2017 to 2022; 253 were analyzed. The majority of the participants, 62% (157/253), were male. The median age of study participants was 34 years (range: 18- 85). The prevalence of pretreatment LTFU was 13.4% (34/253). The qualitative findings reinforced and provided context to the quantitative results, revealing how behavioral, social, and system-level factors contribute to pre-treatment loss to follow-up (LTFU) among DR-TB patients. Significant associations were observed in patients who lacked a recorded telephone contact in TB register (adjusted PR = 0.47, 95% CI: 0.27-0.80) and those without documented home address (adjusted PR = 0.52, 95% CI: 0.27-0.97); qualitatively, this was linked to patients' fear of stigma, lack of trust in the health system, and unstable living conditions, leading them to avoid being traced. The analysis also showed that tobacco use (adjusted PR = 1.96, 95% CI: 1.00-3.87) and illicit drug use (adjusted PR = 4.00, 95% CI: 1.76-9.08) significantly increased the risk of LTFU, which was supported by narratives describing substance use as contributing to hopelessness and neglect of health. Furthermore, patients with a history of treatment failure had 2.4 times the risk of being lost to follow-up (adjusted PR = 2.40, 95% CI: 1.08-5.36), consistent with qualitative reports of discouragement, denial, and lack of awareness about the severity of DR-TB. Relapse cases had 69% higher prevalence of loss to follow-up (adjusted PR = 1.69, 95% CI 0.78-3.70) compared to new cases. Although factors such as alcohol use and family support did not reach statistical significance in the quantitative model, they were prominent in the qualitative data, suggesting under-recognized barriers related to psychosocial distress and poverty. Together, these findings demonstrate a strong convergence between data strands while highlighting that some influential factors particularly social and psychological may be underrepresented in routine health data.

conclusionThe study found a 13.4% prevalence of pre-treatment LTFU among DR-TB patients in Wakiso District. Quantitative analysis identified significant predictors, including lack of contact information, prior treatment failure, tobacco use, and illicit drug use, while protective factors included having a recorded home address and telephone contact recorded in relevant TB registers/electronic systems. These findings were reinforced by qualitative insights, which revealed that fear of stigma, denial of illness, substance abuse, poor health system responsiveness, and lack of social support contributed to patient disengagement. The integration of both data strands highlights the need for a patient-centered approach that strengthens communication, addresses behavioral health needs, and improves follow-up systems to reduce pre-treatment LTFU and improve DR-TB outcomes.

Indexed as

Lost to Follow-UpTuberculosis, Multidrug-ResistantAdolescentAdultAntitubercular AgentsFemaleHumansMaleMiddle AgedRisk FactorsUgandaYoung AdultAntitubercular AgentsDrug resistant tuberculosisMixed methodsPre-treatment loss to follow-upUgandaWakiso

Identifiers

PMID40745635
PMCPMC12312580

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Registered trials

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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.