Subcortical gray matter atrophy and iron deposition in patients with vascular dementia: a multimodal MRI study
Editorial: eHealth and personalized medicine in mental health and neurodevelopmental disorders: digital innovation for diagnosis, care, and clinical management
Illness perception, family resilience, and emotional distress among hospitalized older adults with multimorbidity in Xinjiang, China: a latent profile and mediation analysis
Remimazolam versus propofol on seizure adequacy in electroconvulsive therapy: a retrospective cohort study
Latest developments in the use of e-cigarettes by people with schizophrenia spectrum disorders who smoke: a scoping review
A Study to Assess the Efficacy and Safety of Solriamfetol in Adolescents With ADHD
Interventions: Drug: Solriamfetol Dose A; Drug: Solriamfetol Dose B; Drug: Placebo
Sponsors: Axsome Therapeutics, Inc.
Recruiting
A Study to Assess the Efficacy and Safety of Solriamfetol in Children With ADHD
Interventions: Drug: Solriamfetol Dose A; Drug: Solriamfetol Dose B; Drug: Placebo
Sponsors: Axsome Therapeutics, Inc.
Recruiting
Home Play-based Intervention for Parents and Infants
Interventions: Behavioral: SPRINT Intervention; Other: Waitlist Protocol
Sponsors: Nanyang Technological University; Agency for Science, Technology and Research (A*STAR); KK Women’s and Children’s Hospital; Institute for Human Development and Potential (IHDP), Singapore
Not yet recruiting
Defining and Assessing Empathic Communication in Patient Portal Secure Messages: Adapted Coding Framework Development Study
Background: Empathic communication in the clinical setting has been associated with improved clinical outcomes, decreased anxiety, and increased patient satisfaction, treatment adherence, and trust. Despite the recent growth in patient portal use, the expression of empathic communication through patient portal secure messages is not well understood. Objective: This study aimed to construct a coding schema to define and assess empathic opportunities initiated by patients and primary care clinicians’ responses to these opportunities within a patient portal messaging environment. Methods: Data for this study included adult patient secure messages and responding messages from clinicians working in family practice clinics within a regional health care system serving central and northeast Pennsylvania between January 2018 and December 2023. We conducted a manual review of messages using the Empathic Communication Coding System as a guiding framework, which defines empathic opportunities created by patients and corresponding empathic responses by clinicians. We double-coded 500 patient messages for 3 empathic opportunity types: statements of emotion, progress, and challenge. Coding definitions were iteratively updated to describe specific textual cues unique to the patient portal context. This procedure was repeated to code for empathy in clinician responses to empathic opportunities. An additional 100 patient messages were double-coded for interrater reliability testing, and 500 patient messages were single-coded using the finalized coding schema. Results: Among 1100 patient messages coded, 576 (52.4%) included an empathic opportunity. Of these messages, 100 (17.3%) included a statement of emotion, 85 (14.7%) included a statement of progress, and 539 (93.6%) included a statement of challenge. Statements of challenge were primarily characterized by patients explicitly describing physical or mental health issues, a barrier in care, or difficulties in their personal lives. Among the 576 patient messages with empathic opportunities, 446 (77.4%) received at least 1 response from a clinician. Clinicians sent 483 response messages, of which 64 (13.2%) expressed empathy. Conclusions: While patients created empathic opportunities in over half of patient portal secure messages, primary care clinicians infrequently responded with empathy. The findings of this study provide initial evidence of gaps in empathic communication within patient portal secure messages and lay the groundwork for using artificial intelligence models to systematically measure and improve this communication across the patient portal messaging system.
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