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Record W2129903618 · doi:10.1177/1471301206069918

How can occupational therapy improve the daily performance and communication of an older patient with dementia and his primary caregiver?

2006· article· en· W2129903618 on OpenAlexaboutno aff
Maud Graff, Myrra J M Vernooij-Dassen, Jana Zajec, Marcel Olde‐Rikkert, W.H.L. Hoefnagels, Joost Dekker

Bibliographic record

VenueDementia · 2006
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaCompetence (human resources)Occupational therapyActivities of daily livingPleasurePsychologyAutonomyCognitionMedicinePsychiatryPsychotherapistSocial psychologyDisease

Abstract

fetched live from OpenAlex

Objective: To enhance insight into the process of occupational therapy (OT) and the changes after OT, in an older patient with mild dementia and his primary caregiver. Design and setting: Case study: content analysis of an OT patient record. Intervention: System-based OT at home using a guideline focusing on both patient's performance in daily activities and caregiver's cognition on patient behaviour and caregiver role and focusing on adaptation of the physical environment. Measures: Triangulation of results of qualitative content analysis and quantitative description using the following measures: Brief Cognitive Rating Scale (BCRS), Assessment of Motor and Process Skills (AMPS), Interview of Deterioration in Daily Activities in Dementia (IDDD), Canadian Occupational Performance Measurement (COPM), Dementia Quality of Life Instrument (DQOL), Sense of Competence Scale (SCQ) and the Mastery Scale. Results: The global categories derived from content analysis were: daily performance and communication. The specific categories were the patient with dementia, his or her caregiver and the occupational therapist. Important themes derived from content analysis were: patient's capacity for pleasure, autonomy and appreciation in performing daily activities and caregiver's competence. Patient's changes reported after OT: more initiative, autonomy and pleasure in performing daily activities, increase of quality of life; caregiver's changes reported after OT: improved communication and supervision skills, changed cognition on patient behaviour and caregiver role, improved sense of competence. The quantitative results showed an improved daily performance (e.g. initiative, motor and process skills, need for assistance) and quality of life of the patient and improved sense of competence, quality of life and mastery of the situation of the caregiver after OT intervention. Thus the results of the qualitative content analysis were supported by the quantitative results. Additionally, based on the results of the content analysis an exploratory and system-based model has been developed connecting OT diagnosis and OT treatment at home for patients with dementia and their primary caregivers. Conclusion: This case study provides information on how occupational therapy can improve the daily performance, communication, sense of competence and quality of life of an older patient with dementia and his or her primary caregiver. A combination of education, setting feasible goals, using adaptations in physical environment, training compensatory skills, training supervision skills, and changing dysfunctional cognitions on patient behaviour and caregiver role seemed to be successful. A randomized controlled trial must provide information on the effects of OT at home for older patients with dementia and their primary caregivers.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
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 head0.035
GPT teacher head0.350
Teacher spread0.315 · 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 designCase report
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

Citations77
Published2006
Admission routes1
Has abstractyes

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