An investigation into the acceptance of intelligent care systems: an extended technology acceptance model (TAM). [PDF]
Wang Z, Wang Y, Zeng Y, Su J, Li Z.
europepmc +1 more source
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 +13 more
wiley +1 more source
Application and effectiveness of blended learning in medical imaging via the technology acceptance model. [PDF]
Sun X +6 more
europepmc +1 more source
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
Examining Users' Acceptance Intention of Health Applications Based on the Technology Acceptance Model. [PDF]
Park JH, Lee CW, Do C.
europepmc +1 more source
Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a 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 ...
Pragnya R. Donthineni +7 more
wiley +1 more source
Technology Acceptance Model in Medical Education: Systematic Review.
Lee JWY, Tan JY, Bello F.
europepmc +1 more source
Adoption of Technology in Older Adults in Mexico City: An Approach from the Technology Acceptance Model. [PDF]
De la Peña-López IJ, Acosta-Gonzaga E.
europepmc +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
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 +21 more
wiley +1 more source
Using a Technology Acceptance Model to Explore the Intention to Use Digital Health Technologies Among People With Disabilities: Cross-Sectional Survey Study. [PDF]
Kim JH, Kim J, Youn BY.
europepmc +1 more source

