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Record W4410132000 · doi:10.1186/s41687-025-00885-2

Engaging patients, family caregivers and healthcare providers to develop metrics tailored to a palliative care population: a content validity process

2025· article· en· W4410132000 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Patient-Reported Outcomes · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity Health NetworkOttawa HospitalUniversity of OttawaBruyère
FundersCanadian Institutes of Health ResearchCanadian Frailty NetworkUniversity of Ottawa
KeywordsContent validityPalliative careCoping (psychology)Family caregiversHealth careScale (ratio)PsychologyPopulationStatisticContent analysisNursingApplied psychologyPsychometricsMedicineClinical psychologyStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: Assessment of patient readiness for hospital discharge has been advocated as an important component of discharge preparation. However, no measures focused on hospital-to-home transitions for patients receiving a palliative approach to care, or the associated difficulties in coping at home after hospital discharge, have been developed to date. Using a co-design approach, the purpose of this study was to (1) adapt two scales to a palliative care population, one of which was developed to assess readiness for the hospital-to-home transition and another developed to assess difficulty in coping post-transition and to (2) test the content validity of both scales from the perspectives of patients, family caregivers, and healthcare providers. The scales chosen for adaptation were the Readiness for Hospital Discharge Scale and Post-Discharge Coping Difficulty Scale. METHODOLOGY: The research team made initial adaptations to scale language prior to developing three parallel versions of each scale to be patient-, family caregiver-, and healthcare provider-facing. We conducted content validity testing of the items on both scales by asking each participant group to rate scale items on their usefulness, and to provide suggestions on ways items could be improved. We calculated the Item Content Validity Index and a modified Kappa statistic for each scale item, and calculated the Scale Content Validity Index for each of the three versions of the scales. Refinements were informed by qualitative feedback provided by participants during the content validity process. Final refinements were informed by members of a Patient and Family Advisory Council, and healthcare provider research team members. RESULTS: Moderate modifications were required to the three versions of both scales. Modifications included adding items, modifying item language, and adding examples in parentheses to enhance item context. Patients, family caregivers, and healthcare providers deemed the research team's initial modifications to the scales useful, as evidenced by each scale yielding a Scale Content Validity Index of higher than 0.5. CONCLUSION: The methodology provided can be used as an example of ways to engage and leverage the experiences of healthcare system users and healthcare providers throughout the outcome measures development process. The next steps will be to utilize the adapted scales as intervention outcome measures in a subsequent implementation study.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.035
Threshold uncertainty score0.829

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.084
GPT teacher head0.343
Teacher spread0.259 · 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