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Record W4416995136 · doi:10.1037/prj0000677

Integrating psychiatric rehabilitation into inpatient psychiatric hospitalization to advance personal recovery.

2025· article· en· W4416995136 on OpenAlexaff
Lena Lipskaya‐Velikovsky, David Roe, Helene Speyer, Abraham Rudnick, Morgan C. Shields, Yaara Zisman‐Ilani

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychiatric rehabilitationPsychological interventionInpatient careRehabilitationMEDLINEPsychiatric hospitalPatient rights

Abstract

fetched live from OpenAlex

OBJECTIVE: Psychiatric rehabilitation services (PRS) were developed to facilitate recovery and community integration by addressing psychosocial needs such as housing, employment, illness management, and social inclusion for individuals with serious mental illness. However, PRS are primarily designed for and available in community settings. The objective of this conceptual article is to explore the potential role of PRS during inpatient psychiatric hospitalization and offer a forward-looking vision, identifying trends to guide future efforts. METHOD: This article presents a conceptual analysis of the potential benefits and impacts of PRS on the recovery process of individuals with serious mental illness if these services were also provided during hospitalization. This critical analysis was coauthored by various stakeholders, including individuals with lived experience, psychiatric, and other mental health providers, and psychiatric rehabilitation researchers. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Integrating PRS into routine care during psychiatric hospitalization supports recovery and facilitates postdischarge community connections and outcomes. While PRS were originally conceptualized and designed for community settings, efforts should be made to tailor and adapt them for use in inpatient settings. Shifting staff attitudes toward inpatient recovery-oriented care, developing interventions and training for PRS integration, and securing leadership and institutional buy-in are the next practical steps to make this vision a reality. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.388
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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