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Record W3134716361 · doi:10.32598/rj.21.4.3156.1

Cognitive Orientation to Daily Occupational Performance Approach in Iranian Elderly Without Cognitive Impairment: A Single-Subject Study

2021· article· en· W3134716361 on OpenAlexaboutno aff
Mehrdad Saeidi Borujeni, Seyed Ali Hosseini, Nazila Akbarfahimi, Mohsen Vahedi, Elaheh Ebrahimi

Bibliographic record

VenueJournal of Rehabilitation · 2021
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
FundersUniversity of Social Welfare and Rehabilitation Sciences
KeywordsCognitionPsychologyActivities of daily livingMemory spanDigit symbol substitution testEffects of sleep deprivation on cognitive performancePopulationPhysical medicine and rehabilitationCognitive skillWorking memoryPhysical therapyMedicinePsychiatry

Abstract

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Objective: The elderly population in Iran is growing. Aging is a natural phenomenon that causes changes in brain structures, including the frontal lobe and its connections, which are responsible for the brain’s executive functions. These structural changes lead to problems in cognitive and physical functioning. Older people face problems such as decreased performance in daily activities of life and participation in social activities. In cognitive orientation to the daily occupational performance approach, the participants learn to improve their motor performance using cognitive strategies. The effectiveness of this approach has been reported in stroke, Traumatic Brain Injury (TBI), and some childhood disorders. This study aimed to investigate this approach’s feasibility and its effect on the Iranian elderly without cognitive problems. Materials & Methods: A single-subject study A-B design with follow-up was conducted. The participants were two older adults referred to Ramsar Health Center, Ramsar City, Iran. Before the intervention, to examine the participants’ cognitive status, we used Digit Span Forward to measure attention and Digit Span Backwards and Digit Symbol to measure working memory. The participants’ executive function was also assessed by the Wisconsin Card Sorting Test and Independence in Activity of Daily Living (ADL) with Functional Independent Measure (FIM). Each participant selected three functional goals by Canadian Occupational Performance Measure (COPM) for the focus of the Cognitive Orientation to daily Occupational Performance (CO-OP) intervention. After two weeks of evaluating participants’ performance on selected goals using the Performance Quality Rating Scale (PQRS) to determine baseline performance, the intervention period began. During this period, a total of 8 to 10 sessions were held for each participant. In these sessions, the participants were first taught global problem-solving strategies (Goal, Plan, Do, Check), and then they were introduced to domain-specific strategies and their importance in executing activities. Afterward, through guided discovery during implementation, they were directed to use these strategies in their execution by guided discovery. During this period, the participant’s performance on the selected goals was assessed five times by the PQRS. At the end of the intervention, to evaluate the long-term impact of the intervention, the participant’s performance on the selected goals was re-evaluated by the PQRS three times. Results: The PQRS results showed that the performance of the first participant in each of the three selected activities improved. The results of the PQRS for the second participant showed a significant improvement in performance on the two selected goals. However, one of the selected goals did not show a significant change, which may be related to this goal’s nature. Participants’ net scores in FIM and COPM showed improved performance and satisfaction on selective goals, and performance independence remained constant. Conclusion: The CO-OP approach is feasible in the Iranian elderly population, and the preliminary results indicate the positive impact of this approach on improving the performance in the trained goals. However, given the study limitations in interpreting the results, it is recommended that future studies with a larger sample size be conducted to evaluate the effectiveness and efficacy of this approach. It is also recommended to use alternative tools instead of PQRS to evaluate the results, given the different cultural contexts.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.362
Teacher spread0.333 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations2
Published2021
Admission routes1
Has abstractyes

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