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Development and Evaluation of BABAT TB: A Smart System-Based Reminder Box for Enhancing Tuberculosis Medication Adherence.

Title: Development and Evaluation of BABAT TB: A Smart System-Based Reminder Box for Enhancing Tuberculosis Medication Adherence.
Authors: Rahayu SR; Department of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Nugroho A; Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Indonesia.; Ningrum DNA; Department of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Merzistya ANA; Department of Medical Science, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Wijayantiningrum T; Sekaran Primary Health Care, Semarang Health Office, Semarang, Indonesia.; Simanjuntak JS; Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Indonesia.; Maali MZ; Department of Informatics and Computer Engineering Education, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Indonesia.; Hafidh KA; Department of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Salsabila AP; Department of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Pranindita SK; Department of Public Health, Faculty of Medicine, Universitas Negeri Semarang, Semarang, Indonesia.; Ramadhan NI; Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Indonesia.
Source: Healthcare informatics research [Healthc Inform Res] 2026 Jan; Vol. 32 (1), pp. 4-13. Date of Electronic Publication: 2026 Jan 31.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: Korean Society of Medical Informatics Country of Publication: Korea (South) NLM ID: 101534553 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2093-3681 (Print) Linking ISSN: 20933681 NLM ISO Abbreviation: Healthc Inform Res Subsets: PubMed not MEDLINE
Imprint Name(s): Original Publication: Seoul : Korean Society of Medical Informatics
Abstract: Objectives: This study aimed to develop and evaluate the functionality of a smart system-based prototype, "BABAT TB," a medication box designed to assist tuberculosis (TB) patients in adhering to their treatment schedules.; Methods: The development of the BABAT TB prototype followed the Design Science Research Methodology framework, encompassing the stages of problem identification and motivation, defining the objectives for a solution, and system design and development. Problem identification and motivation were established through semi-structured interviews with TB program officers and document analysis. The prototype integrates two main functional components: a drug quantity monitoring module and a reminder/alarm system for medication schedules, both monitored in real time. Serial communication through a SIM register is used to transmit real-time drug quantity data to the associated application. The system is powered by two 4,000 mAh lithium batteries, providing up to 2 months of use without recharging.; Results: The prototype consists of three core hardware components: the input control circuit, the timer circuit, and the drug amount detection circuit. All modules were successfully assembled and powered. The timer was configured according to medical prescriptions, and the alarm activated at the scheduled times, effectively reminding patients to take their medication.; Conclusions: The BABAT TB prototype effectively measures medication quantities and provides timely alerts, thereby supporting adherence to TB treatment. In addition, it can transmit data related to drug quantities, consultation schedules, and prototype identity cards (IDs) to a database.
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Grant Information: 235.12.4/UN37/PPK.10/2023 Universitas Negeri Semarang
Contributed Indexing: Keywords: Equipment Design; Health Information Systems; Medication Adherence; Reminder Systems; Tuberculosis
Entry Date(s): Date Created: 20260213 Date Completed: 20260213 Latest Revision: 20260216
Update Code: 20260216
PubMed Central ID: PMC12902122
DOI: 10.4258/hir.2026.32.1.4
PMID: 41680995
Database: MEDLINE

Journal Article