Mobile application development for improving medication safety in tuberculosis patients: A quasi-experimental study...

Area of Science:

• Public Health
• Digital Health
• Infectious Disease Management

Background:

• The COVID-19 pandemic accelerated technology adoption for patient monitoring.
• Improved management of tuberculosis (TB) patients is crucial for better treatment outcomes.
• Current TB patient management requires innovation, particularly in medication safety.

Purpose of the Study:

• To develop a predictive model for medication safety in TB patients.
• To create a solution model for at-risk TB patients using mobile applications.
• To enhance medication safety and patient monitoring through technological innovation.

Main Methods:

• A four-stage research design combining qualitative and quantitative methods (cross-sectional and quasi-experimental).
• Data collected from Public Health Centers in Jakarta, Indonesia, using cluster random sampling.
• Logistic regression analysis applied to quantitative data (n=114 and n=96) to identify predictors of medication safety.

Main Results:

• Identified key predictors of medication safety to aid in patient monitoring.
• Developed and utilized a mobile application with an algorithm for educating at-risk patients.
• The study provides a framework for technology-assisted TB patient management.

Conclusions:

• Mobile applications can significantly improve medication safety and patient monitoring for tuberculosis.
• Predictive modeling and targeted education are effective strategies for managing at-risk patients.
• Technological integration in healthcare offers promising solutions for infectious disease treatment adherence.