Patient Engagement with Conversational Agents in Health Applications 2016-2022: A Systematic Review and Meta-Analysis.
Kevin E CevascoRachel E Morrison BrownRediet WoldeselassieSeth KaplanPublished in: Journal of medical systems (2024)
Clinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a high market failure rate. Conversational agent applications ("chatbots") show promise in increasing healthcare user engagement by creating bonds between the applications and users. It is unclear if chatbots improve patient adherence or if past trends to include chatbots in electronic health applications were due to technology hype dynamics and competitive pressure to innovate. We conducted a systematic literature review using Preferred Reporting Items for Systematic reviews and Meta-Analyses methodology on health chatbot randomized control trials. The goal of this review was to identify if user engagement indicators are published in eHealth chatbot studies. A meta-analysis examined patient clinical trial retention of chatbot apps. The results showed no chatbot arm patient retention effect. The small number of studies suggests a need for ongoing eHealth chatbot research, especially given the claims regarding their effectiveness made outside the scientific literatures.
Keyphrases
- healthcare
- public health
- mental health
- case report
- systematic review
- meta analyses
- clinical trial
- health information
- social media
- end stage renal disease
- palliative care
- open label
- health promotion
- ejection fraction
- adipose tissue
- phase ii
- risk assessment
- case control
- health insurance
- human health
- insulin resistance
- deep learning
- climate change
- placebo controlled
- peritoneal dialysis
- weight loss
- adverse drug
- drug induced
- affordable care act