Mohd Fazeli Sazali, Syed Sharizman Syed Abdul Rahim, Ahmad Hazim Mohammad, Fairrul Kadir, Alvin Oliver Payus, Richard Avoi, Mohammad Saffree Jeffree, Azizan Omar, Mohd Yusof Ibrahim, Azman Atil, Nooralisa Mohd Tuah, Rahmat Dapari, Meryl Grace Lansing, Ahmad Asyraf Abdul Rahim, Zahir Izuan Azhar
{"title":"提高结核病药物依从性:整合数字技术与健康信念模型的潜力。","authors":"Mohd Fazeli Sazali, Syed Sharizman Syed Abdul Rahim, Ahmad Hazim Mohammad, Fairrul Kadir, Alvin Oliver Payus, Richard Avoi, Mohammad Saffree Jeffree, Azizan Omar, Mohd Yusof Ibrahim, Azman Atil, Nooralisa Mohd Tuah, Rahmat Dapari, Meryl Grace Lansing, Ahmad Asyraf Abdul Rahim, Zahir Izuan Azhar","doi":"10.4046/trd.2022.0148","DOIUrl":null,"url":null,"abstract":"<p><p>Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.</p>","PeriodicalId":23368,"journal":{"name":"Tuberculosis and Respiratory Diseases","volume":"86 2","pages":"82-93"},"PeriodicalIF":2.5000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/27/52/trd-2022-0148.PMC10073608.pdf","citationCount":"3","resultStr":"{\"title\":\"Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model.\",\"authors\":\"Mohd Fazeli Sazali, Syed Sharizman Syed Abdul Rahim, Ahmad Hazim Mohammad, Fairrul Kadir, Alvin Oliver Payus, Richard Avoi, Mohammad Saffree Jeffree, Azizan Omar, Mohd Yusof Ibrahim, Azman Atil, Nooralisa Mohd Tuah, Rahmat Dapari, Meryl Grace Lansing, Ahmad Asyraf Abdul Rahim, Zahir Izuan Azhar\",\"doi\":\"10.4046/trd.2022.0148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.</p>\",\"PeriodicalId\":23368,\"journal\":{\"name\":\"Tuberculosis and Respiratory Diseases\",\"volume\":\"86 2\",\"pages\":\"82-93\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/27/52/trd-2022-0148.PMC10073608.pdf\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tuberculosis and Respiratory Diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4046/trd.2022.0148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tuberculosis and Respiratory Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4046/trd.2022.0148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model.
Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT's efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.