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The Research Agenda for Perinatal Innovation and Digital Health Project: Human-Centered Approach to Multipartner Research Agenda Codevelopment.
JMIR Hum Factors
January 2025
Women's Health Research Institute, Vancouver, BC, Canada.
Background: Digital health innovations provide an opportunity to improve access to care, information, and quality of care during the perinatal period, a critical period of health for mothers and infants. However, research to develop perinatal digital health solutions needs to be informed by actual patient and health system needs in order to optimize implementation, adoption, and sustainability.
Objective: Our aim was to co-design a research agenda with defined research priorities that reflected health system realities and patient needs.
Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFFamilies' Experiences With Family-Focused Web-Based Interventions for Improving Health: Qualitative Systematic Literature Review.
J Med Internet Res
January 2025
School of Clinical Sciences, Monash University, Melbourne, Australia.
Background: eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.
Objective: This review aimed to explore families' experiences with family-focused web-based interventions for improving health.
Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis.
J Med Internet Res
January 2025
Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC, United States.
Background: Large language model (LLM) artificial intelligence chatbots using generative language can offer smoking cessation information and advice. However, little is known about the reliability of the information provided to users.
Objective: This study aims to examine whether 3 ChatGPT chatbots-the World Health Organization's Sarah, BeFreeGPT, and BasicGPT-provide reliable information on how to quit smoking.
Use of digital facilitation to support the use of digital services in general practice in England: An interview study with key stakeholders.
J Health Serv Res Policy
January 2025
Associate Professor, Exeter Collaboration for Academic Primary Care, University of Exeter Medical School, Exeter, UK.
Objective: Digital services in primary care are becoming more common, yet access to and use of services can create inequities. Our aim was to explore the drivers, priorities, and evolving policy context influencing digital facilitation in primary care as reported by national, regional and local level stakeholders in England.
Methods: We conducted online semi-structured qualitative interviews with stakeholders, including those in NHS England organisations, local commissioners for health care, statutory and third sector organisations, those working within the research community, and digital platform providers.
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