Adaptation of Oxford Cognitive Screen into Turkish (OCS-TR): Validity and reliability study in stroke survivors
Bibliographic record
Abstract
The existing cognitive screening tests used to assess cognitive disorders after stroke in Türkiye face limitations in scope and user applicability. Therefore, this study aimed to address these limitations by adapting the stroke-specific cognitive screening test, the Oxford Cognitive Screen (OCS), into Turkish. Additionally, validity and reliability studies were conducted. A total of 114 stroke survivors and 92 healthy individuals participated in the study. Data were collected using the “Participant Information Form,” “Oxford Cognitive Screen Turkish Version (OCS-TR),” “Aphasia Language Assessment Test (ADD),” “Montreal Cognitive Assessment Test- Turkish (MOCA-TR),” “Barthel Activities of Daily Living Index (BGYAI)” and “Beck Depression Scale.” The team followed an established and detailed step by step process guided by the OCS Concept Elaboration document. Statistical analyses were conducted with IBM SPSS Statistics. Validity and reliability studies, including content validity, known-groups validity, convergent and divergent validity, concurrent validity, internal consistency reliability, test-retest reliability, inter-rater reliability, intra-rater reliability, and parallel forms reliability were conducted to assess the robustness of the measurement instruments. The language and cultural adaptation process underwent content analysis, adhering to ISPOR and ISOQOL guidelines, resulting in minimal content changes post-pilot study. Notable differences in subtest scores between healthy and stroke participants in both A and B forms of OCS-TR demonstrate known-groups validity, emphasizing superior performance in healthy participants. Strong convergent validity was evidenced by significant correlations with MOCA-TR (rs=0.18 to 0.81) and BGYAI (rs=0.19 to 0.51), while divergent validity was supported by weak correlations with overall BGYAI scores. Noteworthy correlations between specific subtests of OCS-TR and ADD underscore concurrent validity, with high inter- and intra-rater reliability, internal consistency (α = 0.90 for stroke, α = 0.65 for healthy) and test-retest reliability (rs=0.89 to 0.99). Parallel forms reliability was high in both healthy and stroke participants, though significant differences were observed on specific subtests. The results confirm that the OCS-TR scale can be considered a valid and reliable instrument for assessing cognitive functions in stroke survivors. This stroke-specific tool offers clinicians a comprehensive and inclusive brief cognitive screening tool tailored to the needs of stroke patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".