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Record W832738460 · doi:10.1007/s13142-015-0330-3

Development of the Health Incentive Program Questionnaire (HIP-Q) in a cardiac rehabilitation population

2015· article· en· W832738460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTranslational Behavioral Medicine · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Wellbeing Research
Canadian institutionsUniversity Health NetworkInstitute for Clinical Evaluative SciencesToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsHealth psychologyRehabilitationIncentivePopulationPhysical therapyPsychologyPublic healthMedicinePhysical medicine and rehabilitationNursingEnvironmental healthEconomics

Abstract

fetched live from OpenAlex

The purpose of this study was to develop a questionnaire to facilitate the design of acceptable financial health incentive programs. A multiphase psychometric questionnaire development method was used. Theoretical and literature reviews and three focus groups generated a pool of content areas and items. New items were developed to ensure adequate content coverage. Field testing was conducted with a convenience sample of cardiac rehabilitation (CR) patients (n = 59) to establish face and construct validity (p = 0.021) and reliability (intraclass coefficients = 0.42-0.87). The final questionnaire is comprised of 23 items. This questionnaire builds on previous attempts to explore acceptability by sampling a wider range of instrumental and affective attitudes and by measuring the effect of program features on the likelihood of incentive program participation. Future research is now needed to examine whether tailoring incentives to preferences assessed by the questionnaire improves uptake and effectiveness.

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.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.125
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.147
GPT teacher head0.532
Teacher spread0.385 · 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