NEW STRATEGY FOR MEDICATION ADHERENCE ENHANCEMENT IN TUBERCULOSIS PATIENS
DOI:
https://doi.org/10.69598/tbps.14.1.111-125Keywords:
new strategy, medication adherence enhancement, tuberculosis, health information technologyAbstract
Directly observed therapy (DOT) with the strategy for medication adherence enhancement has been used for controlling tuberculosis through the mechanisms such as providing an education on changing attitude toward treatment, supporting relationships between health providers and patients, using technologies for reminding and counseling tuberculosis patients, giving intensive interventions and simplifying dosage and packaging. However, multidrug-resistant tuberculosis (MDR-TB) cases are still reported highly. Problems of DOT are the persons observing treatment are family members. However, they are not trained on how to care for patients with tuberculosis and with the skills for DOT from the health providers. New strategy of technology on smart phone applications can enhance medication adherence. Wireless observed therapy (WOT) or pill sensor system. Gamification is the application of game elements and digital game design techniques for medication adherence enhancement. A chatbot is a computer program which conducts a conversation via auditory or textual methods. These three smartphone applications can be used to enhance medication adherence in tuberculosis patients.
References
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7. Cramer JA, Roy A, Burrell A, Fairchild CJ, Fuldeore MJ, Ollendorf DA, et al. Medication compliance and persistence: terminology and definitions. Value Health. 2008;11(1):44-7.
8. Department of Disease Control. Bureau of Tuberculosis. Guideline for programmatic management of drug-resistant tuberculosis [Internet]. Bangkok: The Bureau; 2015 [cited 2018 Apr 13]. Available from: https://www.tbnfmthailand.org/Download/DR-TB%20Proof %2023%20FINAL.pdf (in Thai)
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10. Haynes RB, McDonald H, Garg AX, Montague P. Interventions for helping patients to follow prescriptions for medications. Cochrane Database Syst Rev [Internet]. 2002 [cited 2018 Mar 10]. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD000011/full
11. Sarasalin R, Kitsripisan S, Ratchanagul P. Effects of promoting adherence to a treatment regimen on the intention and adherence behaviors among pulmonary tuberculosis pateints. Nurs J. 2013;40(2):162-73. (in Thai)
12. Wirulhadej N, Chaiyapan G. The effect of eclectic counseling for psychological well-being of tuberculosis patients The Office of Diseases Prevention and Control 6 Khon Kaen Province. J Educ Grad Stud Res, KKU. 2010;4(4):74-81. (in Thai)
13. Pasurakul S, Keeratiyutawong P, Masingboon K. Effects of a self-regulation program and social support on attitude toward treatment, self-care behavior and tuberculosis treatment success rate in pulmonary tuberculosis patients. J Fac Nurs BUU. 2012;20(4):57-67. (in Thai)
14. Julawonno N. Effects of an individual education program on self-care behavior among patients with tuberculosis. South Coll Netw J Nurs Public Health. 2016;3(1):17-30. (in Thai)
15. Kardas P, Lewek P, Matyjaszczyk M. Determinants of patient adherence: a review of systematic reviews. Front Pharmacol. 2013;4:91.
16. Maciel EMGS, Amancio JS, Castro DB, Braga JU. Social determinants of pulmonary tuberculosis treatment non-adherence in Rio de Janeiro, Brazil. PloS One. 2018;13(1):e0190578.
17. Peltzer K, Onya H, Seoka P, Tladi FM, Malema RN. Factors at first diagnosis of tuberculosis associated with compliance with the directly observed therapy (dot) in the Limpopo Province, South Africa. Curationis. 2002;25(3):55-67.
18. Nieuwlaat R, Wilczynski N, Navarro T, Hobson N, Jeffery R, Keepanasseril A, et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev [Internet]. 2014. [cited 2018 Mar 10]. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD000011.pub4/full
19. World Health Organization. Handbook for the use of digital technologies to support tuberculosis medication adherence [internet]. Geneva: WHO; 2017 [cited 2018 Apr 11]. Available from: https://www.who.int/tb/publications/ 2018/TB_medication_adherence_handbook_2018/en/
20. Department of Disease Control. Bureau of Tuberculosis. Handbook for video-supported treatment for TB 2017 [internet]. Bangkok: The Bureau; c2017 [cited 2018 Apr 12]. Available from: https://www.tbthailand.org/download /Manual/Mobile%20DOT_OK.pdf (in Thai)
21. Liu Q, Abba K, Alejandria MM, Sinclair D, Balanag VM, Lansang MA. Reminder systems to improve patient adherence to tuberculosis clinic appointments for diagnosis and treatment. Cochrane Database Syst Rev [Internet]. 2014 [cited 2018 Mar 10]. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD006594.pub3/full
22. Shields MD, F AL, Rivey MP, McElnay JC. Mobile direct observation of therapy (mdot) - a rapid systematic review and pilot study in children with asthma. PloS One. 2018;13(2):e0190031.
23. Ngwatu BK, Nsengiyumva NP, Oxlade O, Mappin-Kasirer B, Nguyen NL, Jaramillo E, et al. The impact of digital health technologies on tuberculosis treatment: a systematic review. Eur Respir J 2018;51(1):1701596.
24. Car J, Tan WS, Huang Z, Sloot P, Franklin BD. eHealth in the future of medications management: personalisation, monitoring and adherence. BMC Med 2017;15:73.
25. Pilote L, Tulsky JP, Zolopa AR, Hahn JA, Schecter GF, Moss AR. Tuberculosis prophylaxis in the homeless. a trial to improve adherence to referral. Arch Intern Med. 1996;156(2):161-5.
26. Lutge EE, Wiysonge CS, Knight SE, Sinclair D, Volmink J. Incentives and enablers to improve adherence in tuberculosis. Cochrane Database Syst Rev [Internet]. 2015 [cited 2018 Mar 10]. Available from: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD007952.pub3/full
27. Viswanathan M, Golin CE, Jones CD, Ashok M, Blalock SJ, Wines RC, et al. Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review. Ann Intern Med. 2012;157(11):785-95.
28. Conn VS, Ruppar TM, Chan KC, Dunbar-Jacob J, Pepper GA, De Geest S. Packaging interventions to increase medication adherence: systematic review and meta-analysis. Curr Med Res Opin. 2015;31(1):145-60.
29. Bangalore S, Kamalakkannan G, Parkar S, Messerli FH. Fixed-dose combinations improve medication compliance: a meta-analysis. Am J Med. 2007;120(8):713-9.
30. Mahtani KR, Heneghan CJ, Glasziou PP, Perera R. Reminder packaging for improving adherence to self-administered long-term medications. Cochrane Database Syst Rev [internet]. 2011 [cited 2018 Mar 10]. Available from: https://www.cochranelibrary.com/cdsr/doi/10. 1002/14651858.CD005025.pub3/full
31. Connor J, Rafter N, Rodgers A. Do fixe-dose combination pills or unit-of-use packaging improve adherence? a systematic review. Bull World Health Organ. 2004;82(12):935-9.
32. Hoffman JA, Cunningham JR, Suleh AJ, Sundsmo A, Dekker D, Vago F, et al. Mobile direct observation treatment for tuberculosis patients: a technical feasibility pilot using mobile phones in Nairobi, Kenya. Am J Prev Med. 2010;39(1):78-80.
33. Department of Disease Control. Bureau of Tuberculosis. National TB program monitoring and evaluation reports: 2001-2005 [internet]. Bangkok: The Bureau; 2005 [cited 2018 Apr 25]. Available from: https://www.tbthailand.org/ download/Manual/Annual_Report_44_48.pdf (in Thai)
34. Department of Disease Control. Bureau of Tuberculosis. Report of tuberculosis program performance in Thailand, 2006-2007 [internet]. Bangkok: The Bureau; 2009 [cited 2018 Apr 25]. Available from: https://www.tbthailand.org/ download/Manual/Annual_Report%2049_50.pdf (in Thai)
35. Department of Disease Control. Bureau of Tuberculosis. Report of tuberculosis program performance in Thailand, 2008 [internet]. Bangkok: The Bureau; 2010 [cited 2018 Apr 25]. Available from: https://www.tbthailand.org/ download/ Manual/Annual_Report_51.pdf (in Thai)
36. Department of Disease Control. Bureau of Tuberculosis. Report of tuberculosis program performance in Thailand, 2009-2015 [internet]. Bangkok: The Bureau; 2015 [cited 2018 Apr 25]. Available from: https://www.tbthailand.org/ download/Manual/ผลการดำเนินงานควบคุมวัณโรคประเทศไทย_52-58.pdf (in Thai)
37. Rattanasuwan P. Guideline of Health Promotion in Tuberculosis Control for community. Th J Tuberc Chest Dis Crit Care. 2013;34(2):85-8.
38. Srithongtham O, Jongtrakansombat A, Thabuddha U, Uttha S, Palanan C. Factors related to default and failure treatment of multidrug-resistant TB patients in the provinces under the responsibility of the Office of Disease Prevention and Control Region 7, Ubon Ratchathani. J Health Sci. 2017;26 suppl 2:S289-8.
39. Granger BB, Bosworth H. Medication adherence: emerging use of technology. Curr Opin Cardiol. 2011;26(4):279-87.
40. Kasurinen J, Knutas A. Publication trends in gamification: a systematic mapping study. Comput Sci Rev. 2018;27:33-44.
41. Edwards EA, Lumsden J, Rivas C, Steed L, Edwards LA, Thiyagarajan A, et al. Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps. BMJ Open. 2016;6(10):e012447.
42. Miller AS, Cafazzo JA, Seto E. A game plan: gamification design principles in mHealth applications for chronic disease management. Health informatics j. 2016;22(2):184-93.
43. Johnson D, Deterding S, Kuhn KA, Staneva A, Stoyanov S, Hides L. Gamification for health and wellbeing: a systematic review of the literature. Internet Interv. 2016;6:89-106.
44. Goyal S, Nunn CA, Rotondi M, Couperthwaite AB, Reiser S, Simone A, et al. A mobile app for the self-management of type 1 diabetes among adolescents: a randomized controlled trial. JMIR mHealth uHealth. 2017;5(6):e82.
45. Rose KJ, König M, Wiesbauer F. Evaluating success for behavioral change in diabetes via mHealth and gamification: mysugr’s keys to retention and patient engagement. Diabetes Technol Ther. 2013;15 Suppl 1:A114.
46. Sardi L, Idri A, Fernández-Alemán JL. A systematic review of gamification in e-Health. J Biomed Inform. 2017;71:31-48.
47. Seaborn K, Fels DI. Gamification in theory and action: a survey. Int J Hum Comput Stud. 2015;74:14-31.
48. Fadhil A. A conversational interface to improve medication adherence: towards AI support in patient’s treatment [internet]. New York: Cornell University; 2018 [cited 2018 Apr 9]. Available from: https://arxiv.org/abs/1803.09844
49. Goyal S, Lewis G, Yu C, Rotondi M, Seto E, Cafazzo JA. Evaluation of a behavioral mobile phone app intervention for the self-management of type 2 diabetes: randomized controlled trial protocol. JMIR res protoc. 2016;5(3):e174.
50. U.S. Food and Drug Administration. FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems [internet]. Silver Spring (MD): FDA; 2018 [cited 2018 Apr 11]. Available from: https://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm604357
51. Techsauce. Jubjai Bot For screen depressive patients [internet]. 2018 [cited 2018 Apr 10]. Available from: https://techsauce.co/technology/chatbot/jubjai-depression-detection-chatbot/. (in Thai)
52. Belknap R, Weis S, Brookens A, Au-Yeung KY, Moon G, DiCarlo L, et al. Feasibility of an ingestible sensor-based system for monitoring adherence to tuberculosis therapy. PloS One. 2013;8(1):e53373.
53. U.S. Food and Drug Administration. FDA approves pill with sensor that digitally tracks if patients have ingested their medication [internet]. Silver Spring (MD): FDA; 2017 [cited 2018 Apr 12]. Available from: https://www.fda.gov/ NewsEvents/Newsroom/PressAnnouncements/ucm584933.htm
54. Browne S, Haubrich R, Moser KS, DiCalro L, Peloquin CA, Benson CA. Wirelessly observed therapy (wot): a new paradigm in TB therapy monitoring [internet]. San Francisco (CA): CROI Foundation/IAS–USA; 2015. [cited 2018 Apr 10]. Available from: https://www.croiconference.org/sessions/wirelessly-observed-therapy-wot-new-paradigm-tb-therapy-monitoring
55. Au-Yeung KY, DiCarlo L. Cost comparison of wirelessly vs. directly observed therapy for adherence confirmation in anti-tuberculosis treatment. Int J Tuberc Lung Dis. 2012;16(11):1498-504.
56. National Statistical Office. Increasing trend of Thai people use smart phone [internet]. Bangkok: The Office; 2018 [cited 2018 Apr 10]. Available from: https://www.nso.go.th/sites/2014/Lists/Activity/Attachments/120/A24-05-60.pdf (in Thai)
57. National Statistical Office. Number of mobile user by age group, whole kingdom: 2007 – 2016 [internet]. Bangkok: The Office; 2016 [cited 2018 Apr 10]. Available from: https://service.nso.go.th/nso/web/statseries/statseries22.html (in Thai)
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Published
2019-02-07
How to Cite
Praracha, P., & Thavornwattanayong, W. (2019). NEW STRATEGY FOR MEDICATION ADHERENCE ENHANCEMENT IN TUBERCULOSIS PATIENS. Thai Bulletin of Pharmaceutical Sciences, 14(1), 111–125. https://doi.org/10.69598/tbps.14.1.111-125
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