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Interventions to Improve Adherence to Medication on Multidrug-Resistant Tuberculosis Patients: A Scoping Review
P Octaviani1, Z Ikawati2, N M Yasin3
1Doctoral Program in Pharmacy, Faculty of Pharmacy, Gadjah Mada University, Yogyakarta, Indonesia.
Interventions significantly improve adherence to multidrug-resistant tuberculosis (MDR-TB) treatment, with psychological counseling being most effective. Further research is needed for personalized, cost-effective MDR-TB adherence strategies.
Area of Science:
- Public Health
- Infectious Diseases
- Pharmacology
Background:
- Non-adherence to anti-tuberculosis (TB) drugs fuels the spread of multidrug-resistant tuberculosis (MDR-TB), a global health threat.
- Poor adherence prolongs treatment, increases adverse events, and raises financial burdens, necessitating effective interventions.
Purpose of the Study:
- To conduct a scoping review of interventions aimed at enhancing medication adherence in patients undergoing MDR-TB treatment.
- To identify and synthesize existing research on strategies that improve patient compliance with MDR-TB therapy.
Main Methods:
- A scoping review of observational studies was performed using data from PubMed, Web of Science, and Scopus.
- Data synthesis was conducted using Rayyan AI, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Main Results:
- Eleven articles detailed various MDR-TB treatment adherence interventions.
- Psychological counseling/education interventions showed the most significant improvement in adherence.
- Other effective interventions included Medication Event Reminder Monitors (MERM), Video Directly Observed Therapy (VDOT), financial support, mHealth applications, and DOTS/DOTS-Plus programs.
- Electronic Dose Monitoring (EDM) devices demonstrated limited impact on MDR-TB patient adherence.
Conclusions:
- MDR-TB treatment adherence interventions can facilitate patient recovery.
- While most studies showed significant improvements, heterogeneity exists.
- Further research is recommended to develop personalized, context-specific interventions and assess their cost-effectiveness.
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