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Record W3163966251 · doi:10.5770/cgj.24.487

Collaborative Development of an Older Adult Experience Survey for Specialized Geriatric Services

2021· article· en· W3163966251 on OpenAlexaffvenueabout
Ronaye T Gilsenan, Rhonda Schwartz, Iris Gutmanis, Adam M. B. Day, David P. Ryan, Rosemary R.A. Brander, Kelly Milne, Frank Molnar

Bibliographic record

VenueCanadian Geriatrics Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of OttawaThunder Bay Regional Health Sciences CentreWestern UniversityUniversity of TorontoCanadian Electricity Association
Fundersnot available
KeywordsOperationalizationMedicineCronbach's alphaConstruct validityFace validityFamily medicineGerontologyPsychometricsClinical psychology

Abstract

fetched live from OpenAlex

BACKGROUND: While generic, site, and disease-specific patient experience surveys exist, such surveys have limited relevance to frail, medically complex older adults attending appointment-based specialized geriatric services (SGS). The study objective was to develop and evaluate a patient experience survey specific to this population. METHODS: Using established survey research methods, this study was conducted collaboratively with older adults (patients and family members/friends) at three Ontario sites offering SGS. The study was done in three phases: Phase One-literature review, evidence alignment, and operationalization of core survey items; Phase Two-cognitive interviews and refinement; and Phase Three-pilot testing, survey item analysis, and refinement. RESULTS: Based on an evidence-informed framework, the "Older Adult Experience Survey" includes 12 core items, two global rating items, two open-ended questions, and two demographic questions. The summed 12 core items demonstrated acceptable internal consistency (Cronbach's alpha: 0.83), and the correlation between the summed score and a global question was 0.59, providing evidence of construct validity. The survey also demonstrated face and content validity. CONCLUSION: This open access, collaboratively developed, psychometrically sound patient experience survey can be used to assess, then improve, the clinical experience and quality of care of older adults attending appointment-based SGS clinics/programs.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.365
Teacher spread0.330 · 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 designQualitative
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

Citations1
Published2021
Admission routes3
Has abstractyes

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