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Record W4303453570 · doi:10.1371/journal.pone.0274193

Study protocol for a non-randomised controlled trial: Community-based occupational therapy intervention on mental health for people with acquired brain injury (COT-MHABI)

2022· article· en· W4303453570 on OpenAlexfundno aff
Marco Antonio Raya-Ruiz, María Rodríguez‐Bailón, Beatriz Castaño Monsalve, Laura Vidaña-Moya, Ana Judit Fernández-Solano, José Antonio Merchán-Baeza

Bibliographic record

VenuePLoS ONE · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
FundersUniversity of Victoria
KeywordsOccupational therapyMental healthMedicineQuality of life (healthcare)Community integrationRandomized controlled trialCompetence (human resources)PopulationIntervention (counseling)Physical therapyClinical psychologyPsychiatryPsychologyNursingEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

INTRODUCTION: The sequelae of moderate-severe acquired brain injury (ABI) encompass motor, cognitive, sensory, emotional and behavioural areas that affect meaningful occupational participation and quality of life, with a high prevalence of associated mental disorders. When the patient returns to community life after discharge from the hospital, specialised care is generally insufficient due to the lack of consideration of the dual condition of mental disorder and ABI. Since there is a negative impact on competence and thus on occupational participation, occupational therapy represents a convenient way of intervention. On these assumptions, a community-based occupational therapy protocol on mental health for people with moderate/severe acquired brain injury (COT-MHABI) is presented. It is focused on meaningful occupational participation and looks for improvement in the quality of life. METHODS AND ANALYSIS: This study aims: (i) to design a protocol to evaluate the effectiveness of a community occupational therapy intervention based on MOHO for patients with a dual (mental health/ABI) for improving quality of life and self-perceived occupational performance; (ii) to analyse the outcomes of occupational and social variables (occupational balance, participation level, satisfaction with occupation and performed roles and community integration) after the COT-MHABI process; (iii) to analyse the impact of quality of life on satisfaction with occupations performed by this population. A non-randomised controlled clinical trial will be performed. Patients assigned to the experimental group will receive over one year of on-site and telematic occupational therapy sessions, 16 sessions on average. Variables such as quality of life, community integration or satisfaction with occupational performance will be collected at baseline, 6, and 12 months. DISCUSSION: The needs for the dual mental/ABI population in their reintegration into the community are related to the associated deficits and to the absence of specialised services for the complexity of this patient profile. Few studies consider the coexistence of mental health and ABI issues. The COT-MHABI protocol is proposed to provide continuity to the community needs of this population, conceptualised from occupational participation, person-centred and focused on meaningful activities. CLINICAL TRIAL REGISTRATION: Trial identifier and registry name ClinicalTrials.gov ID: NCT04586842 https://clinicaltrials.gov/ct2/show/NCT04586842?term=252136&draw=2&rank=1; Pre-results; Community-based Occupational Therapy Intervention on Mental Health for People With Acquired Brain Injury (COT-MHABI).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.100
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.042
Meta-epidemiology (narrow)0.0080.003
Meta-epidemiology (broad)0.0170.007
Bibliometrics0.0030.004
Science and technology studies0.0030.005
Scholarly communication0.0060.005
Open science0.0050.002
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.1000.016

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 head0.256
GPT teacher head0.454
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreProtocol

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

Citations1
Published2022
Admission routes1
Has abstractyes

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