{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T19:20:56Z","timestamp":1790709656853,"version":"4.1.0"},"reference-count":59,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Med Internet Res"],"abstract":"\n Background<\/jats:title>\n Although the implementation process of digital health technologies (DHTs) has been extensively documented in high-income countries, the factors that facilitate and prevent their implementation in lower- and middle-income countries (LMICs) may differ for various reasons.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n To address this gap in research, this scoping review aims to determine the facilitators and barriers to implementing DHTs in LMIC hospital settings following the onset of the COVID-19 pandemic. Additionally, the review outlined the types of DHTs that have been implemented in LMICs\u2019 hospitals during this pandemic and finally developed a classification framework to categorize the landscape of DHTs.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n Systematic searches were conducted on PubMed, Scopus, Web of Science, and Google Scholar for studies published from March 2020 to December 2023. We extracted data on authors, publication years, study objectives, study countries, disease conditions, types of DHTs, fields of clinical medicine where the DHTs are applied, study designs, sample sizes, characteristics of the study population, study location, and data collection methods of the included studies. Both quantitative and qualitative data were utilized to conduct a thematic analysis, using a deductive method based on the Practical, Robust Implementation and Sustainability Model (PRISM), to identify facilitators and barriers to DHT implementation. Finally, all accessible DHTs were identified and organized to create a novel classification framework.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Twelve studies were included from 292 retrieved articles. Telemedicine (n=5) was the most commonly used DHT in LMICs\u2019 hospitals, followed by hospital information systems (n=4), electronic medical records (n=2), and mobile health (n=1). These 4 DHTs, among the other existing DHTs, allowed us to develop a novel classification framework for DHTs. The included studies used qualitative methods (n=4), which included interviews and focus groups, quantitative methods (n=5), or a combination of both (n=2). Among the 64 facilitators of DHT implementation, the availability of continuous on-the-job training (n=3), the ability of DHTs to prevent cross-infection (n=2), and positive previous experiences using DHTs (n=2) were the top 3 reported facilitators. However, of the 44 barriers to DHT implementation, patients with poor digital literacy and skills in DHTs (n=3), inadequate awareness regarding DHTs among health care professionals and stakeholders (n=2), and concerns regarding the accuracy of disease diagnosis and treatment through DHTs (n=2) were commonly reported.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n In the postpandemic era, telemedicine, along with other DHTs, has seen increased implementation in hospitals within LMICs. All facilitators and barriers can be categorized into 6 themes, namely, (1) Aspects of the Health Care System; (2) Perspectives of Patients; (3) External Environment; (4) Implementation of Sustainable Infrastructure; (5) Characteristics of Health Care Organization; and (6) Characteristics of Patients.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/63482","type":"journal-article","created":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T16:30:51Z","timestamp":1741278651000},"page":"e63482","source":"Crossref","is-referenced-by-count":51,"title":["Facilitators and Barriers to the Implementation of Digital Health Technologies in Hospital Settings in Lower- and Middle-Income Countries Since the Onset of the COVID-19 Pandemic: Scoping Review"],"prefix":"10.2196","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2430-1540","authenticated-orcid":false,"given":"Sheng Qian","family":"Yew","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7572-4113","authenticated-orcid":false,"given":"Daksha","family":"Trivedi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2154-853X","authenticated-orcid":false,"given":"Nurul Iman Hafizah","family":"Adanan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8627-6248","authenticated-orcid":false,"given":"Boon How","family":"Chew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,3,6]]},"reference":[{"key":"ref1","unstructured":"World Health Organization (WHO)Tracking universal health coverage: 2023 global monitoring reportWHO202309182024-02-10Geneva, SwitzerlandWHOhttps:\/\/www.who.int\/publications\/i\/item\/9789240080379"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2147\/jmdh.s326209"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12913-020-05189-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare8040408"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17218241"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2020-045845"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/1753-6405.12835"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.hpopen.2022.100088"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/1758-5899.12880"},{"key":"ref10","author":"Ronquillo, Y","year":"2025","journal-title":"Digital Health. 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