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Record W4390192073 · doi:10.1002/alz.082374

Evaluation and modification of the 10‐item short form Communicative Participation Item Bank for persons with primary progressive aphasia

2023· article· en· W4390192073 on OpenAlexaff
Ollie Fegter, Sara Shaunfield, Angela Roberts, Emily Rogalskı

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyComprehensionContent validityCLARITYRelevance (law)CognitionAphasiaPrimary progressive aphasiaThematic analysisFace validityApplied psychologyClinical psychologyDevelopmental psychologyPsychometricsDementiaCognitive psychologyQualitative researchComputer scienceMedicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Primary progressive aphasia (PPA) is a dementia syndrome characterized by language and communication impairments with relative sparing of other cognitive domains. Given the language difficulties associated with PPA, it is important to develop outcome measures relevant to the communication experiences of persons with PPA (PwPPA). The 10‐item Communicative Participation Item Bank (CPIB) has been used as a measure of communication participation in PPA. However, the CPIB was validated as a disorder‐agnostic measure of communication participation and the content validity has not been evaluated for PPA. The purpose of this study is to evaluate the face and content validity of the 10‐item CPIB for individuals with PPA and their communication partners (CP). Method Phase one of this project focused on conducting cognitive interviews with participants who had previously completed the CPIB during the Communication Bridge randomized controlled trial (NCT03371706). PwPPAs and CPs each completed the CPIB during a semi‐structured cognitive interview designed to evaluate the measure format, instructions, response options, item comprehension, and relevance of each item to PwPPA experiences. To evaluate content validity, participants were asked open‐ended questions to elicit relevant communication participation experiences missing from the questionnaire. Responses to closed‐ended questions (e.g., clarity, relevance) were tabulated and open‐ended responses (e.g., item comprehension, missing content) were analyzed via thematic analysis. Summaries of measure format, instructions, and response options were generated, as well as item‐level findings regarding comprehension, relevance, and missing content. Result Preliminary findings revealed both PwPPAs and CPs: a) considered the instructions to be clear (N = 12, 100%); b) recommended adding a fifth response option (e.g., “Somewhat) to better represent the range of communication situations; c) reported all items except one (“persuade…to see a different point of view”) were relevant (N≥10; ≥83%, for 9 items); and d) talking on the phone was the most reported missing communicative participation situation (N = 8; 66%). Further, 2 of 5 PwPPAs reported talking over videochat, and 2 of 5 CPs reported email/texting as missing. Conclusion Preliminary findings indicate that modifications to the 10‐item CPIB short form may be needed for use with PwPPA and their CPs to more fulsomely capture communication participation in PPA.

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)0.021
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.123
GPT teacher head0.371
Teacher spread0.248 · 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 designObservational
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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