Background: 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.
Objective: 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' hospitals during this pandemic and finally developed a classification framework to categorize the landscape of DHTs.
Methods: 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.
Results: Twelve studies were included from 292 retrieved articles. Telemedicine (n=5) was the most commonly used DHT in LMICs' 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.
Conclusions: 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.
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http://dx.doi.org/10.2196/63482 | DOI Listing |
Disabil Health J
March 2025
School of Psychology, The University of Adelaide, SA, 5000, Australia.
Background: The importance of health literacy in personal health management is widely recognised in the general population, yet remains poorly understood in some patient groups, including people with spinal cord injury or disorder (SCI/D).
Objectives: The systematic review had two objectives: (1) to determine the health literacy levels of individuals with SCI/D, and (2) to identify facilitators and barriers to developing health literacy in this group.
Methods: Seven databases (CINAHL, Embase, Emcare, ProQuest, PsycINFO, PubMed, and Web of Science) were searched from inception, with an updated search completed on January 21, 2025.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
October 2024
Department of Neurology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Cerebral infarction is a common type of stroke with high incidence and disability rates, and most patients experience varying degrees of cognitive impairment. The manifestations and severity of post-infarction cognitive impairment are influenced by multiple interacting factors, and its pathophysiological mechanisms are highly complex, involving pericyte degeneration, excessive generation of reactive oxygen species (ROS), overproduction of glutamate, and overactivation of autophagy. After cerebral infarction, abnormal pericyte function activates neuroinflammation and facilitates the entry of inflammatory mediators into the brain; detachment of pericytes from blood vessels disrupts the integrity of the blood-brain barrier.
View Article and Find Full Text PDFBJGP Open
March 2025
University Medical Centre Groningen, Groningen, Netherlands.
Background: General practice owners are responsible for access to care 24 hours a day, but they can struggle to find associates or successors. Fewer practice owners means that the core value, continuity of care (COC), is at risk. However, little is known about the career considerations of young GPs and barriers and facilitators to become practice owners.
View Article and Find Full Text PDFBMJ Open
March 2025
Institute for Health Research, University of Bedfordshire Faculty of Health and Social Sciences, Luton, UK.
Objectives: To explore the barriers to conversations about deceased organ donation among adults living in the UK.
Design: Systematic review with narrative synthesis.
Data Sources: PubMed, MEDline via OVID, APA PsycInfo via EBSCO, Web of Science via Clarivate and Scopus via Elsevier, covering studies that were published between January 2006 and December 2023.
Gastroenterology
March 2025
APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, Ireland.
Inflammatory bowel disease (IBD) is marked by significant clinical heterogeneity, posing challenges for accurate diagnosis and personalized treatment strategies. Conventional approaches, such as endoscopy and histology, often fail to adequately and accurately predict medium and long-term outcomes, leading to suboptimal patient management. Artificial intelligence (AI) is emerging as a transformative force enabling standardized, accurate, and timely disease assessment and outcome prediction, including therapeutic response.
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