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Record W4399101835 · doi:10.1080/11038128.2024.2356548

What matters to you? A mixed-method evaluation of goal setting and attainment within reablement from a client perspective

2024· article· en· W4399101835 on OpenAlexaboutno aff
Ines Mouchaers, Hilde Verbeek, Sigrid van Haaster, Jolanda C. M. van Haastregt, Ellen Vlaeyen, Geert Goderis, Silke Metzelthin

Bibliographic record

VenueScandinavian Journal of Occupational Therapy · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersEuropean Commission
KeywordsPerspective (graphical)Goal settingOccupational therapyGoal Attainment ScalingGoal pursuitPsychologyComponent (thermodynamics)MedicinePhysical therapyComputer scienceRehabilitationSocial psychologyArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Goal setting is an essential component of reablement programmes. At the same time it is also an important aspect in the evaluation of reablement from the perspective of clients. OBJECTIVES: As part of the TRANS-SENIOR project, this research aims to get an in-depth insight of goal setting and goal attainment within reablement services from the perspective of the older person. MATERIAL AND METHODS: A convergent mixed methods design was used, combining data from electronic care files, and completed Canadian Occupational Performance Measure (COPM) forms with individual interviews. RESULTS: In total, 17 clients participated. Participants' meaningful goals mainly focused on self-care, rather than leisure or productivity. This mattered most to them, since being independent in performing self-care tasks increased clients' confidence and perseverance. Regarding goal attainment, a statistically significant and clinically relevant increase in self-perceived performance and satisfaction scores were observed. CONCLUSION: Although most goals focused on self-care, it became apparent that these tasks matter to participants, especially because these often precede fundamental life goals. SIGNIFICANCE: Reablement can positively contribute to goal setting and attainment of clients and may contribute to increased independence. However, effectiveness, and subsequently long-term effects, are not yet accomplished and should be evaluated in future research.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.183
GPT teacher head0.551
Teacher spread0.368 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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