Dampak Intervensi Edukasi dan Aplikasi Pengingat Minum Obat terhadap Pengetahuan dan Kepatuhan Pasien Tuberkulosis Paru di Puskesmas di Kota Bandung

https://doi.org/10.22146/jmpf.88408

Irianti Bahana Maulida Reyaan(1), Ivena Faustincia(2), Zulfan Zazuli(3*)

(1) Department of Pharmacology and Clinical Pharmacy, School of Pharmacy Institut Teknologi Bandung
(2) Department of Pharmacology and Clinical Pharmacy, School of Pharmacy Institut Teknologi Bandung
(3) Department of Pharmacology and Clinical Pharmacy, School of Pharmacy Institut Teknologi Bandung
(*) Corresponding Author

Abstract


Tuberculosis (TB) patient compliance with ongoing therapy and knowledge regarding TB has an impact on the cure rate. Despite implementing various strategies, the prevalence of TB in Indonesia remains high, and the success rate of its treatment is still below the global average, potentially leading to continued transmission of TB within the community. This study aims to determine the improvement of knowledge and compliance among pulmonary TB patients following an intervention involving education and the use of a medication reminder application in two community health centers in the city of Bandung. The research design was experimental, where 29 subjects recruited were randomized into two groups: one group receiving additional education and introduction to the mobile application (Jadwal Minum Obat), and the other group receiving only counseling at the health centers. Primary data that was collected include baseline test scores and final test scores of subjects based on the KATUB-Q questionnaire. Patient compliance was assessed using the self-assessment method with the MARS-5 questionnaire and the pill count method. The subjects' experiences in the intervention group while using the mobile application were also documented. A total of 16 subjects completed the study. The education method and medication reminder application used in this study have not significantly improved the knowledge and compliance of pulmonary TB patients in taking their medication (p > 0.05). However, percentage of consumed medication compared to the prescribed medication in the intervention group higher than the control group (87.4 ± 4.8% vs 78.8 ± 8.3%). Subjects found the application useful, though there were still some shortcomings. Further research with a larger sample size using an improved medication reminder application is needed.

Keywords


tuberkulosis paru; aplikasi mobile; pengetahuan; kepatuhan; KATUB-Q; MARS-5

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References

  1. Organization WH. Global Tuberculosis Report 2022. World Health Organization;2022.
  2. Coleman RL, Wilkinson D, McAdam KP. Voluntary lay supervisors of directly observed therapy for tuberculosis in Africa. Trop Doct. 1998;28(2):78-80.
  3. Lavsa SM, Holzworth A, Ansani NT. Selection of a validated scale for measuring medication adherence. J Am Pharm Assoc (2003). 2011;51(1):90-94.
  4. Hirpa S, Medhin G, Girma B, et al. Determinants of multidrug-resistant tuberculosis in patients who underwent first-line treatment in Addis Ababa: a case control study. BMC Public Health. 2013;13:782.
  5. Alipanah N, Jarlsberg L, Miller C, et al. Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies. PLoS Med. 2018;15(7):e1002595.
  6. Clark PM, Karagoz T, Apikoglu-Rabus S, Izzettin FV. Effect of pharmacist-led patient education on adherence to tuberculosis treatment. Am J Health Syst Pharm. 2007;64(5):497-505.
  7. Munro SA, Lewin SA, Smith HJ, Engel ME, Fretheim A, Volmink J. Patient adherence to tuberculosis treatment: a systematic review of qualitative research. PLoS Med. 2007;4(7):e238.
  8. Atkins S, Biles D, Lewin S, Ringsberg K, Thorson A. Patients' experiences of an intervention to support tuberculosis treatment adherence in South Africa. J Health Serv Res Policy. 2010;15(3):163-170.
  9. M'Imunya J M, Kredo T, Volmink J. Patient education and counselling for promoting adherence to treatment for tuberculosis. Cochrane Database Syst Rev. 2012;2012(5):CD006591.
  10. Falzon D, Timimi H, Kurosinski P, et al. Digital health for the End TB Strategy: developing priority products and making them work. Eur Respir J. 2016;48(1):29-45.
  11. Ngwatu BK, Nsengiyumva NP, Oxlade O, et al. The impact of digital health technologies on tuberculosis treatment: a systematic review. Eur Respir J. 2018;51(1).
  12. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-191.
  13. Kusuma IY, Triwibowo DN, Pratiwi ADE, Pitaloka DAE. Rasch Modelling to Assess Psychometric Validation of the Knowledge about Tuberculosis Questionnaire (KATUB-Q) for the General Population in Indonesia. Int J Environ Res Public Health. 2022;19(24).
  14. Alfian R, Putra AMP. UJI VALIDITAS DAN RELIABILITAS KUESIONER MEDICATION ADHERENCE REPORT SCALE (MARS) TERHADAP PASIEN DIABETES MELLITUS. Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan. 2017;2(2).
  15. Lee CS, Tan JHM, Sankari U, Koh YLE, Tan NC. Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study. BMJ Open. 2017;7(9):e016317.
  16. Perwitasari DA, Setiawan D, Nguyen T, et al. Investigating the Relationship between Knowledge and Hepatotoxic Effects with Medication Adherence of TB Patients in Banyumas Regency, Indonesia. Int J Clin Pract. 2022;2022:4044530.
  17. Adiutama NM, Fauziah W, Nuraeni A, et al. FACE TO FACE NURSING EDUCATION BERBASIS THEORY OF PLANNED BEHAVIOR DALAM MENINGKATAN KEPATUHAN PASIEN TUBERKULOSIS. JABI: Jurnal Abdimas Bhakti Indonesia. 2021;2(2).
  18. Ridho A, Alfian SD, van Boven JFM, et al. Digital Health Technologies to Improve Medication Adherence and Treatment Outcomes in Patients With Tuberculosis: Systematic Review of Randomized Controlled Trials. J Med Internet Res. 2022;24(2):e33062.
  19. Dumas-Mallet E, Button KS, Boraud T, Gonon F, Munafo MR. Low statistical power in biomedical science: a review of three human research domains. R Soc Open Sci. 2017;4(2):160254.
  20. Wang X, Fu Q, Zhou M, Li Y. How Integrated Digital Tools Can Improve Tuberculosis Medication Adherence: A Longitudinal Study in China. Telemed J E Health. 2023.
  21. de Groot LM, Straetemans M, Maraba N, et al. Time Trend Analysis of Tuberculosis Treatment While Using Digital Adherence Technologies-An Individual Patient Data Meta-Analysis of Eleven Projects across Ten High Tuberculosis-Burden Countries. Trop Med Infect Dis. 2022;7(5).



DOI: https://doi.org/10.22146/jmpf.88408

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