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Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model.
Sazali, Mohd Fazeli; Rahim, Syed Sharizman Syed Abdul; Mohammad, Ahmad Hazim; Kadir, Fairrul; Payus, Alvin Oliver; Avoi, Richard; Jeffree, Mohammad Saffree; Omar, Azizan; Ibrahim, Mohd Yusof; Atil, Azman; Tuah, Nooralisa Mohd; Dapari, Rahmat; Lansing, Meryl Grace; Rahim, Ahmad Asyraf Abdul; Azhar, Zahir Izuan.
Afiliación
  • Sazali MF; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Rahim SSSA; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Mohammad AH; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Kadir F; Department of Emergency Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.
  • Payus AO; Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.
  • Avoi R; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Jeffree MS; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Omar A; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Ibrahim MY; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Atil A; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Tuah NM; Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.
  • Dapari R; Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
  • Lansing MG; Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia.
  • Rahim AAA; Department of Public Health Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu.
  • Azhar ZI; Department of Public Health Medicine, Faculty of Medicine, MARA Technological University, Sg Buloh, Malaysia.
Tuberc Respir Dis (Seoul) ; 86(2): 82-93, 2023 Apr.
Article en En | MEDLINE | ID: mdl-36597583
ABSTRACT
Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Tuberc Respir Dis (Seoul) Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Tuberc Respir Dis (Seoul) Año: 2023 Tipo del documento: Article