Mapping Respiratory Health Digital Interventions in South and Southeast Asia: A Scoping Review
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Abstract
Background Digital health has progressed rapidly due to the advances in technology and the promises of improved health and personal health empowerment. Concurrently, the burden of respiratory disease is increasing, particularly in Asia, where mortality rates are higher, and public awareness and government engagement are lower than in other regions of the world. Leveraging digital health interventions to manage and mitigate respiratory disease presents itself as a potentially effective approach. This study aims to undertake a scoping review to map respiratory digital health interventions in South and Southeast Asia, identify existing technologies, opportunities, and gaps, and put forward pertinent recommendations from the insights gained. Methods This study used a scoping review methodology as outlined by Arksey and O’Malley and the Joanna Briggs Institute. Medline, Embase, CINAHL, PsycINFO, Cochrane Library, Web of Science, PakMediNet and MyMedR databases were searched along with key websites grey literature databases. Results This scoping review has extracted and analysed data from 87 studies conducted in 14 South and Southeast Asian countries. Results were mapped to the WHO classification of digital health interventions categories to better understand their use. Digital health interventions are primarily being used for communication with patientes and between patients and providers. Moreover, interventions targeting tuberculosis were the most numerous. Many ‘old’ interventions, such as SMS, are still being used but updated. Artificial intelligence and machine learning are also widely used in the region at a small scale. There was a high prevalence of pilot interventions compared to mature ones. Conclusions This scoping review collates and synthesises information and knowledge in the current state of digital health interventions, showing that there is a need to evaluate whether a pilot project is needed before starting, there is a need to report on interventions systematically to aid evaluation and lessons learnt, and that artificial intelligence and machine learning interventions are promising but should adhere to best ethical and equity practices. Author summary Technology has advanced quickly, facilitating the development of digital health, that is the use of technological tools for health purposes. Digital health tools may help more people achieve better health. At the same time, respiratory diseases are becoming a growing problem, especially in Asia, where there are more deaths and diseases linked to respiratory causes than in other parts of the world. Using digital health tools may be an effective way to manage and reduce the impact of respiratory diseases in the region. To that end, this study reviewed current digital health tools in South and Southeast Asia, identified gaps and opportunities and made recommendations based on the findings. The methodology used was a scoping review, which followed standards as described by Arksey and O’Malley and the Joanna Briggs Institute. It searched relevant medical databases for information. This review includes 87 studies from 14 different countries. It revealed that tuberculosis was the most targeted disease by digital health interventions and that older technologies, such as the SMS, are still being used and updated as needed. Moreover, it revealed that new technologies like artificial intelligence and machine learning are being used more frequently but in small projects and that many of the projects described are small-scale pilot projects.
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References (46)
- doi:10.2196/33404 via crossref
- doi:10.1016/s0140-6736(20)30925-9 via crossref
- doi:10.1016/s2213-2600(20)30105-3 via crossref
- doi:10.7189/jogh.08.020101 via crossref
- doi:10.7189/jogh.12.04094 via crossref
- doi:10.1007/978-94-024-1251-2_3 via crossref
- doi:10.2196/15068 via crossref
- doi:10.1080/1364557032000119616 via crossref
- doi:10.46658/jbirm-20-01 via crossref
- doi:10.2196/34013 via crossref
- doi:10.7326/m18-0850 via crossref
- doi:10.1007/978-3-658-27602-7_3 via crossref
- doi:10.1098/rsos.210389 via crossref
- doi:10.1016/j.puhe.2009.05.012 via crossref
- doi:10.1371/journal.pmed.1001382 via crossref
- doi:10.51957/healthline_584_2023 via crossref
- doi:10.51731/cjht.2024.818 via crossref
- doi:10.4103/ijmr.ijmr_75_20 via crossref
- doi:10.3889/oamjms.2022.8755 via crossref
- doi:10.1038/s41598-020-63084-7 via crossref
- doi:10.1108/jhr-11-2020-0535 via crossref
- doi:10.1038/s41598-020-62148-y via crossref
- doi:10.1038/s41598-019-56589-3 via crossref
- doi:10.1093/ofid/ofab567 via crossref
- doi:10.1038/s41598-019-51503-3 via crossref
- doi:10.1183/13993003.02159-2016 via crossref
- doi:10.1038/s41598-018-30810-1 via crossref
- doi:10.1038/s41598-020-62148-y via crossref
- doi:10.3390/ijgi8020099 via crossref
- doi:10.1109/confluence51648.2021.9377169 via crossref
- doi:10.1038/s41598-021-81147-1 via crossref
- doi:10.3390/rs13163222 via crossref
- doi:10.1007/s11356-021-16150-0 via crossref
- doi:10.1007/s11356-021-14305-7 via crossref
- doi:10.1007/s13762-022-04149-0 via crossref
- doi:10.1038/s41598-023-31772-9 via crossref
- doi:10.7717/peerj-cs.1306 via crossref
- doi:10.1109/icoris52787.2021.9649639 via crossref
- doi:10.4103/lungindia.lungindia_86_18 via crossref
- doi:10.2196/45400 via crossref
- doi:10.1093/cid/ciaa333 via crossref
- doi:10.2196/16634 via crossref
- doi:10.1136/bmjopen-2022-065878 via crossref
- doi:10.51957/healthline_584_2023 via crossref
- doi:10.1016/j.cca.2023.117519 via crossref
- doi:10.1177/20552076231186520 via crossref
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