Objective: With the intention of understanding the dynamics of psychiatric interviews, we investigated the usual (DSM/ICD-based) psychiatric assessment process and an alternative assessment process based on a case formulation method. We compared the two different approaches in terms of the clinicians' practices for offering patients opportunities to reveal their subjective experiences.
Methods: Using qualitative and quantitative applications of conversation analysis, we compared patient-clinician interaction in five usual psychiatric assessments (AAU) with five assessment interviews based on dialogical sequence analysis (DSA).
Results: The frequency of conversational sequences where the patient described his/her problematic experiences was higher in the DSA interviews than in the AAU interviews. In DSA, the clinicians typically facilitated the patient's subjective experience talk by experience-focused questions and formulations, whereas in AAU, such talk typically occurred in environments where the clinicians' questions and formulations focused on non-experiential, medical matters.
Conclusion: Interaction in DSA was organized to provide for the patient's experience-focused talk, whereas in AAU, the patient needed to go against the conversational grain to produce such talk.
Practice Implications: By facilitating patients' opportunities to uncover subjective experiences, it is possible to promote their individualized care planning in psychiatry.
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http://dx.doi.org/10.1016/j.pec.2019.02.021 | DOI Listing |
Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Center for Psychotraumatology, Institute of Psychology, Vilnius University, Vilnius, Lithuania.
Background: Prompts offer a promising strategy to promote client engagement in internet-delivered cognitive behavioral therapy (ICBT). However, if the prompts do not meet the needs of clients, they can potentially be more obtrusive rather than helpful.
Objective: The aim of this study was to test if prompts tailored based on timing and frequency, aligned with preintervention goal setting, can increase usage and the efficacy of a therapist-supported ICBT stress recovery intervention for health care workers.
J Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFJ Particip Med
January 2025
Department of Ambulatory Care, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Background: Health authorities worldwide have invested in digital technologies to establish robust information exchange systems for improving the safety and efficiency of medication management. Nevertheless, inaccurate medication lists and information gaps are common, particularly during care transitions, leading to avoidable harm, inefficiencies, and increased costs. Besides fragmented health care processes, the inconsistent incorporation of patient-driven changes contributes to these problems.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Physical Medicine and Rehabilitation, Korea University Anam Hospital, Seoul, Republic of Korea.
Background: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!