ArticlePsychiatry research2017
Correlates of observer-rated active involvement in psychiatric treatment visits.
Article in Psychiatry research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of observational coding systems to assess patient-healthcare professional interactions.Patient education and counseling · 2025Pooled it
- Article
- Skills-based intervention to enhance collaborative decision-making: systematic adaptation and open trial protocol for veterans with psychosis.Pilot and feasibility studies · 2021Article
- "They are talking from the Encyclopedia Britannica brain": diabetes patients' perceptions of barriers to communicating with physicians.BMC health services research · 2020Article
- How Shared Is Shared Decision Making? Reaching the Full Potential of Patient-Clinician Collaboration in Mental Health.Harvard review of psychiatryArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Among people with serious mental illness, increased patient activation has been linked to a range of key recovery outcomes. To date, patient activation has been measured largely through self-report. The present study investigated correlates of a new tool that assesses active involvement through rating audio-recordings of treatment visits. The key domains of patient activation assessed in visits included: patients asking questions, discussing with providers instances of being active in managing illness outside the session, talking about goals, bringing up concerns, making evaluative statements about treatment, setting the agenda for the visit, and making requests about the course of treatment. The new coding scheme proved to be a feasible and reliable method for identifying multi-faceted behavioral indicators of patient activation. Contrary to our hypotheses, in a sample of 166 people diagnosed with severe mental illnesses, self-reported activation and observer-rated indices of activation were often not correlated or correlated in unexpected directions with the new behavioral measure of patient activation. This suggests the nature of patient activation may be complex and work is needed to understand how observer-rated and self-rated activation may predict differential recovery outcomes.
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Registered trials
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