Objective: Information sharing between mental health providers (MHPs) and primary care providers (PCPs) is important for persons with mental illnesses. The authors determined the level of information continuity between MHPs who saw a patient for a new consult and PCPs and whether continuity varied between providers with and without access to a shared electronic health record (EHR).
Methods: Data were analyzed for 141 randomly selected enrollees in six Medicare Advantage plans receiving a new outpatient mental health consultation in 2012. Medical records of MHPs and PCPs were abstracted to evaluate whether PCP records recognized the consultation, documented mental health hospitalizations and emergency department visits, and acknowledged psychotropic medications. Measures were compared between patients whose providers used and did not use mutual-access EHRs.
Results: For 21% of patients, the PCP record documented communication from the MHP within three months of the consultation. The PCP record showed evidence of timely communication (within seven days) for 42% of mental health hospitalizations and emergency department visits. Of 152 medications recorded by MHPs, 103 (68%) were acknowledged in the PCP record by the next visit. For patients with mutual-access EHRs, provider communication about the consultation was documented for a greater percentage of patients, compared with those without mutual-access EHRs (46% versus 11%, p<.001), as was communication about psychotropic medication (100% versus 57%, p<.001).
Conclusions: This small but detailed study of patients receiving new outpatient mental health consults found poor continuity of information between MHPs and PCPs. A mutual-access EHR facilitated but did not guarantee such information sharing.
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http://dx.doi.org/10.1176/appi.ps.201800025 | DOI Listing |
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Black Dog Institute, University of New South Wales, Sydney, Australia.
Background: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment methods are more effective than traditional methods such as newspapers, media, or flyers is inconsistent. Here we present insights from our experience recruiting tertiary education students for a digital mental health artificial intelligence-driven adaptive trial-Vibe Up.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Background: The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation.
Objective: This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD).
J Med Internet Res
January 2025
School of Management, Hefei University of Technology, Hefei, China.
Background: In online mental health communities, the interactions among members can significantly reduce their psychological distress and enhance their mental well-being. The overall quality of support from others varies due to differences in people's capacities to help others. This results in some support seekers' needs being met, while others remain unresolved.
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