JMIR Aging - Search

View query in Help articles search

Field

e.g. mhealth

Operator

Field

Criteria

e.g. John Smith or 0000-0001-6479-5330

Exact Match for Criteria

Yes No

Search Results (1 to 10 of 53 Results)

Download search results: CSV END BibTex RIS

Sort by:

Is This Chatbot Safe and Evidence-Based? A Call for the Critical Evaluation of Generative AI Mental Health Chatbots

Acacia Parks, Eoin Travers, Ramesh Perera-Delcourt, Max Major, Marcos Economides, Phil Mullan

J Particip Med 2025;17:e69534

Download Citation: END BibTex RIS

Download PDF Download XML

Providing 2 Types of mHealth Interventions to Support Self-Management Among People Living With HIV: Randomized Clinical Trial

HIV-infected individuals with high coping self-efficacy are less likely to report depressive symptoms: a cross-sectional

Gwang Suk Kim, Layoung Kim, Seoyoung Baek, Sooyoung Kwon, Ji Min Kim, Jun Yong Choi, Jae-Phil Choi

JMIR Mhealth Uhealth 2025;13:e60905

Download Citation: END BibTex RIS

Download PDF Download XML

Assessing ChatGPT’s Capability as a New Age Standardized Patient: Qualitative Study

Joseph Cross, Tarron Kayalackakom, Raymond E Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Sheetal Naik, Jillwin Joseph, Nikhilesh Anand, Abdalla Mohammed, Asjah Johnson, Eliran Cohen, Teniola Adeniji, Aisling Nnenna Nnaji, Julia Elizabeth George

JMIR Med Educ 2025;11:e63353

Download Citation: END BibTex RIS

Download PDF Download XML

Development of a Mobile Intervention for Procrastination Augmented With a Semigenerative Chatbot for University Students: Pilot Randomized Controlled Trial

Seonmi Lee, Jaehyun Jeong, Myungsung Kim, Sangil Lee, Sung-Phil Kim, Dooyoung Jung

JMIR Mhealth Uhealth 2025;13:e53133

Download Citation: END BibTex RIS

Download PDF Download XML

Development of a Framework for Youth- and Family-Specific Engagement in Research: Proposal for a Scoping Review and Qualitative Descriptive Study

Sarah E P Munce, Clementine Jarrett, Vjura Senthilnathan, Dorothy Luong, Brooke Allemang, Katherine Bailey, Elaine Biddiss, Maria T Britto, Francine Buchanan, Christine Cassidy, Andrea Cross, Jessie Cunningham, Gina Dimitropoulos, Scott E Hadland, Monika Kastner, Tieghan Killackey, Kristina Kokorelias, Colin Macarthur, Samantha Micsinszki, Chavon Niles, F Virginia Wright, Alene Toulany

JMIR Res Protoc 2025;14:e65733

Download Citation: END BibTex RIS

Download PDF Download XML

Embedding a Choice Experiment in an Online Decision Aid or Tool: Scoping Review

It should also be noted that All study designs such as randomized controlled trials, observational studies, cross-sectional studies, and methodological papers, were included. Conference abstracts and existing systematic reviews were excluded. All articles meeting the above eligibility criteria were included regardless of the methodological quality as the aim of the scoping review is to gain an overview of the literature on embedding choice experiments in decision tools.

Nyantara Wickramasekera, Phil Shackley, Donna Rowen

J Med Internet Res 2025;27:e59209

Download Citation: END BibTex RIS

Download PDF Download XML

Emerging Domains for Measuring Health Care Delivery With Electronic Health Record Metadata

Desirable measures may answer research questions, contribute to more efficient and reliable single-center cross-sectional or longitudinal operational and quality reporting [28], or facilitate multi-institutional comparisons.

Daniel Tawfik, Adam Rule, Aram Alexanian, Dori Cross, A Jay Holmgren, Sunny S Lou, Eugenia McPeek Hinz, Christian Rose, Ratnalekha V N Viswanadham, Rebecca G Mishuris, Jorge M Rodríguez-Fernández, Eric W Ford, Sarah T Florig, Christine A Sinsky, Nate C Apathy

J Med Internet Res 2025;27:e64721

Download Citation: END BibTex RIS

Download PDF Download XML

An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontology-Enhanced Large Language Models: Development Study

Lang Cao, Jimeng Sun, Adam Cross

JMIR Med Inform 2024;12:e60665

Download Citation: END BibTex RIS

Download PDF Download XML

Use of AI in Mental Health Care: Community and Mental Health Professionals Survey

Future research could build on these preliminary findings with larger and more diverse samples, potentially through cross-jurisdictional studies that can provide a more comprehensive view of the impact of AI on mental health care. Our study underscores the promise and challenges of AI in mental health care. As AI tools evolve, it is essential that they are developed with ethics, inclusivity, accuracy, safety and the genuine needs of end users in mind.

Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez