Results 201 to 210 of about 1,605,773 (306)

Enhancing adolescents' exercise motivation management with generative AI anthropomorphism: a chain-mediated model of technology acceptance and self-efficacy. [PDF]

Front Psychol
Wang K, Li H, Yu G, Li G, Song Y.
europepmc   +1 more source

Integrating Patient‐Reported Quality Measures in Systemic Lupus Erythematosus: Development of the American College of Rheumatology Implementation Guide

Arthritis Care &Research, EarlyView.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah, Cherish Wilson, Christine Hariz, Christie M. Bartels, Shanthini Kasturi, Wambui Machua, Amy Bennett, Kate Chiseri, Allison Plitman, Starla Hairston Blanks, April Jorge, Patti Katz, Jinoos Yazdany, Shivani Garg   +13 more
wiley   +1 more source

A study on factors influencing music enthusiast's behavioral intention to use generative AI for music composition based on an expanded technology acceptance model. [PDF]

Sci Rep
Zhou Y, Wang Y, Su J.
europepmc   +1 more source

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

Lessons Learned About Digital Health Tool Acceptability Among Rural Older Adults: Systematic Review Guided by the Technology Acceptance Model. [PDF]

JMIR Aging
Siegel ZM, Quinkert E, Pai J, Miller CH, Lewis MW.   +4 more
europepmc   +1 more source

Cracking the Code: Which Ocular Symptoms Predict Dry Eye Signs? Insights from a large international sicca registry

Arthritis Care &Research, Accepted Article.
Purpose The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögrens International Collaborative Clinical Alliance (SICCA) cohort. Methods Retrospective analysis examining 16 ocular symptoms (most graded 0‐4) and artificial tear (AT) use (graded 0‐3) as predictors of DED signs [abnormal ocular surface staining ...
Pragnya R Donthineni, Chloe Shields, Rohit Muralidhar, Shreya Bhatt, Alan Baer, Robert Fox, Sara S. McCoy, Anat Galor   +7 more
wiley   +1 more source

Modeling teacher education students' adoption of large language models through an extended technology acceptance framework. [PDF]

Sci Rep
Gong Y, Xu C, Luo S, Lin J.
europepmc   +1 more source

Clinical, histological, and serological predictors of renal function loss in lupus nephritis.

Arthritis Care &Research, Accepted Article.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M Guthridge, Carla Guthridge, Peter Izmirly, Jill P Buyon, H.Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership RA/SLE Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Technology Acceptance Model in Medical Education: Systematic Review.

JMIR Med Educ
Lee JWY, Tan JY, Bello F.
europepmc   +1 more source

eHealth Literacy Mediating Social Support and Technology Acceptance Among Patients With Chronic Illnesses: A Cross-Sectional Study. [PDF]

J Adv Nurs
Shiu LS, Huang YS, Liu CY, Cheng YS, Chen YC.   +4 more
europepmc   +1 more source