Background: China is one of 30 countries with a high tuberculosis (TB) burden, and poor adherence to TB treatment is one of the biggest challenges for TB control. We aimed to explore the barriers and facilitators of treatment adherence among drug-sensitive tuberculosis (DS-TB) patients under the "Integrated model" in Western China, to provide evidence-based treatment and control regimens for DS-TB patients to improve adherence behaviours.
Methods: Both qualitative and quantitative research methods were used to explore the factors associated with self-reported adherence (SRA) behaviours. Questionnaire surveys with DS-TB patients and in-depth interviews with leaders from the Centers for Disease Control and Prevention (CDC) and community health sectors (CHCs), healthcare workers (HCWs) from CHCs, and DS-TB patients were conducted.
Results: A total of 459 eligible patients were included in the quantitative survey, and two patients and 13 healthcare providers were included in the in-depth interviews. The percentage of patients who experienced a missed dose, lack of follow-up sputum examination, and interrupted treatment were 19.0%, 11.3%, and 9.2%, respectively. Patients aged 20-39 had a higher risk of missed dose [OR (95% CI): 2.302 (1.001-5.305)] and a lower risk of interrupted treatment [OR (95% CI): 0.278 (0.077-0.982)] than patients more than 60 years. Patients who were of Han ethnicity (OR [95% CI]: 0.524 [0.301-0.912]) received psychological support (OR [95% CI]: 0.379 [0.144-0.998]) from their family and had a lower risk of missed doses. Patients who had drug side effects had a higher risk of interrupted treatment (OR [95% CI]: 2.587 [1.237-5.412]). Patients who possessed higher knowledge had a lower risk of lack of follow-up sputum examination [OR (95% CI): 0.817 (0.673-0.991)]. The results of the qualitative study also reported that patients' poor TB knowledge was the main reason for their non-SRA behaviours.
Conclusions: Patient-centred strategies should be implemented to improve health literacy and strengthen psychological support. More effective case management should be designed and implemented based on different patient characteristics to improve adherence behaviours in further studies.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889779 | PMC |
http://dx.doi.org/10.1186/s12879-022-07208-6 | DOI Listing |
Afr J Infect Dis
October 2024
Department of Community Medicine, Faculty of Medicine, Universitas Sumatera Utara, Medan, North Sumatra, Indonesia.
Background: Other microbial infections in pulmonary tuberculosis (TB) patients pose significant challenges, complicating treatment outcomes and potentially increasing mortality rates. This study aims to characterize the bacterial and fungal infections profiles in pulmonary TB patients.
Materials And Methods: A retrospective cross-sectional analysis was conducted at Adam Malik Hospital in Medan, Indonesia, from June 2020 to May 2022, involving inpatients diagnosed with drug-sensitive or drug-resistant TB.
Int J Tuberc Lung Dis
December 2024
School of Population Health, University of New South Wales, Sydney, NSW, Australia.
Infection
November 2024
Department of Internal Medicine, Infectious Diseases, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
Osong Public Health Res Perspect
October 2024
Division of Bacterial Disease Research, Center for Infectious Disease Research, National Institute of Infectious Diseases, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Background: In this study, we performed comparative genomic and transcriptomic analysis of clinical isolates of Mycobacterium tuberculosis collected from patients with drug-susceptible tuberculosis (DS-TB). The clinical isolates were categorized based on treatment duration: standard 6 months or >6 months.
Methods: Study participants were recruited from a 2016 to 2018 tuberculosis cohort, and clinical M.
Infect Dis Poverty
November 2024
Population Services International Myanmar, Yangon, Myanmar.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!