Background: Digital health interventions have become increasingly popular in recent years, expanding the possibilities for treatment for various patient groups. In clinical research, while the design of the intervention receives close attention, challenges with research participant engagement and retention persist. This may be partially due to the use of digital health platforms, which may lack adequacy for participants.
Objective: This systematic literature review aims to investigate the relationship between digital health platforms and participant engagement and retention in clinical research. It will map and analyze key definitions of engagement and retention, as well as identify design characteristics that influence them.
Methods: We will carry out a mixed methods systematic literature review, analyzing qualitative and quantitative studies. The search strategy includes the electronic databases PubMed, IEEE Xplore, CINAHL, Scopus, Web of Science, APA PsycINFO, and the ACM Digital Library. The review will encompass studies published between January 2018 and June 2024. Criteria for inclusion will be the presence of digital health care interventions conducted through digital health platforms like websites, web and mobile apps used by patients, and informal caregivers as research participants. The main outcome will be a narrative analysis with key findings on the definitions of participant engagement and retention and critical factors that affect them. Quality assessment and appraisal will be done through the Mixed-Methods Assessment Tool. Data analysis and synthesis will follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 flow diagram. Quantitative data will be qualified and integrated into qualitative data, which will be analyzed using thematic analysis and synthesis.
Results: The study expects to map and summarize critical definitions of participant engagement and retention, and the characteristics of digital health platforms that influence them. The systematic review is expected to be completed in June 2025.
Conclusions: This systematic review will contribute to the growing discussion on how the design of digital health intervention platforms can promote participant engagement and retention in clinical research.
Trial Registration: PROSPERO CRD42024561650; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=561650.
International Registered Report Identifier (irrid): PRR1-10.2196/65099.
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http://dx.doi.org/10.2196/65099 | DOI Listing |
J Psychoactive Drugs
January 2025
Global Health Policy and Data Institute, San Diego, CA, USA.
Growing cannabis use has made it the most widely cultivated and trafficked illicit drug globally according to the World Health Organization, with 147 million people consuming cannabis-derived products (CDPs) in various product forms and constituency. Despite restrictions in certain countries, unregulated access can still be found on the dark web which specializes in trafficking of illicit goods. The objective was to systematically collect data from multiple marketplaces to identify types of cannabis products offered for sale.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest and most diverse population health study in the US to date, to apply and extend the previous global findings on activity inequality within the context of the US. We found that daily steps differed by sex at birth, age, body characteristics, geography, and built environment.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Faculty of Dentistry, British University in Egypt (BUE), Shorouk, Egypt.
Purpose: This study aimed to compare different treatment modalities to correct ill-fitted maxillary complete denture either by the conventional relining method or by scanning the relining impression and digitally construct a new denture regarding patient satisfaction, denture retention, and adaptation.
Materials And Methods: Twelve edentulous patients suffering from loose maxillary complete dentures were selected, dentures' borders and fitting surfaces were prepared, and relining impressions were taken, the impressions were scanned and the STL files were used for CAD/CAM milling ( computer aided designing/ computer aided manufacturing) of new maxillary dentures (Group A), then the relining impression went through the conventional laboratory steps to fabricate (Group B) maxillary dentures. Both groups were evaluated regarding patient satisfaction by a specially designed questionnaire, retention values were measured by a digital force gauge at denture insertion appointment and two weeks later, geomagic software was used to evaluate dentures adaptation to oral tissues.
BMC Health Serv Res
January 2025
Logistics Education (LEED) at Kühne Foundation, Hamburg, Germany.
Background: To ensure the complete traceability of healthcare commodities, robust end-to-end data management protocols are needed for the supply chain. In Ethiopia, digital tools like Dagu-2 are used in the lower levels of the healthcare supply chain. However, there is a lack of information regarding the implementation status, factors, and challenges of Dagu-2, as it is a recent upgrade from the offline Dagu-1 application.
View Article and Find Full Text PDFZ Evid Fortbild Qual Gesundhwes
January 2025
Department Digital Health Sciences and Biomedicine, School of Life Sciences, University of Siegen, Siegen, Germany.
Background: Pregnant women and their families, especially those navigating chronic illness or challenging life situations, often seek information and counseling. The pregnancy period and the transition to parenthood can exacerbate these circumstances, leaving families particularly vulnerable. Addressing stressful situations becomes a hurdle in this context.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!