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Record W3156237185 · doi:10.1108/ijot-01-2020-0002

Identifying occupational therapy outcome measures supportive of recovery-orientated mental health services in Ireland

2021· article· en· W3156237185 on OpenAlexaboutno aff
Róisín Kearns, Nancy Salmon, Mairéad Cahill, Eithne Egan

Bibliographic record

VenueIrish Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsOutcome (game theory)Mental healthOccupational therapyPsychologyGeneral partnershipMedicineClinical psychologyPsychotherapistPsychiatryBusinessFinance

Abstract

fetched live from OpenAlex

Purpose No occupational therapy outcome measures have been designed specifically for recovery-orientated services.This paper aims to identify occupational therapy outcome measures relevant to mental health practice and assess them against recovery principles adopted by Irish Mental Health Services. Design/methodology/approach A narrative review methodology was used to appraise outcome measures against CHIME recovery principles. Findings A systematic search across 13 databases identified eight well-established outcome measures commonly used within occupational therapy mental health literature. The included outcome measures were appraised using a recovery alignment tool. Practical implications All outcome measures connected to some recovery processes. Those using semi-structured interview formats and notably the Canadian Occupational Performance Measure (COPM) had the strongest alignment to recovery processes. Originality/value This is the first known review which provides some validation that the included outcome measures support recovery processes, yet the measures rely heavily on therapist’s skills for processes to be facilitated. It recommends that ways to better support the process of partnership in occupational therapy mental health outcome measures be explored and further research be undertaken.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.473
GPT teacher head0.533
Teacher spread0.060 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venueIrish Journal of Occupational TherapySame topicMental Health and Patient InvolvementFrench-language works237,207