“Just be a light”: Experiences of peers working on acute inpatient psychiatric units.
Bibliographic record
Abstract
OBJECTIVE: The study aimed to clarify the potential role and impact of behavioral health peer support providers on community hospital acute inpatient psychiatric units. METHOD: Qualitative interviews were conducted to examine perspectives of peer support providers (peers) and individuals who initially received peer services (recipients) during an inpatient stay on a community hospital psychiatric unit. Interviews elicited perspectives on interactions between peers and recipients, the role of peers vis-à-vis the clinical treatment team, and involvement of peers in discharge planning and transitions to community-based care. Fourteen interviews were completed (6 peers and 8 recipients of peer services); all were recorded, transcribed, and coded using a thematic analysis approach. RESULTS: Emergent themes were grouped into 3 domains: (a) initial impressions and client engagement, (b) peer interventions to support discharge planning, and (c) shared or sharing experiences in an inpatient setting. Recipients described inpatient experiences as disempowering and humiliating and reported powerful positive initial reactions to peers who had had similar experiences but who also displayed competence and professionalism. Peers and recipients described strong emotional connections that differed from traditional attitudes and relationships with clinical staff. Peers described challenges and obstacles related to interactions with the clinical treatment team, and both peers and recipients strongly endorsed the role of peers in facilitating successful care transitions. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Behavioral health peers can play important roles in acute inpatient psychiatric care, supplementing clinical treatment team activities and filling important gaps related to engagement, discharge planning, and care transitions. (PsycINFO Database Record
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".