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Record W4293765893 · doi:10.1016/j.resplu.2022.100288

An international collaborative study to co-produce a patient-reported outcome measure of cardiac arrest survivorship and health-related quality of life (CASHQoL): A protocol for developing the long-form measure

2022· article· en· W4293765893 on OpenAlexaff
Kirstie Haywood, Charlotte Southern, Elizabeth Tutton, Paul Swindell, David R Ellard, Nathan A. Pearson, Helen Parsons, Keith Couper, Katie N. Dainty, Sachin Agarwal, Gavin D. Perkins, Kristofer Årestedt, Theresa Aves, Janet Bray, Anne Brookes, Clifton W. Callaway, Maaret Castrén, Marcus Eng Hock Ong, Katrysha Gellis, Paulien H. Goossens, Angela Hartley, Rob Hoadley, Johan Israelsson, David J. Jeffrey, Vicky L Joshi, Thomas Keeble, Gisela Lilja, John Long, Marco Mion, Laurie J. Morrison, Véronique Moulaert, E. Diane Playford, Kelly N. Sawyer, Federico Semeraro, Karen Smith, Barry Williams, Jasmine Wylie

Bibliographic record

VenueResuscitation Plus · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsNorth York General HospitalUniversity of Toronto
FundersNational Institutes of HealthNational Heart and Lung InstituteResearch Councils UKNational Institute for Health and Care ResearchUniversity of WarwickResuscitation Council (UK)
KeywordsPromSurvivorship curveQuality of life (healthcare)Protocol (science)PsychologyFocus groupHealth careMedicinePatient-reported outcomePopulationNursingPolitical scienceAlternative medicineBusinessPathology

Abstract

fetched live from OpenAlex

Background: Current measures of health-related quality of life are neither sufficiently sensitive or specific to capture the complex and heterogenous nature of the recovery and survivorship associated with cardiac arrest. To address this critical practice gap, we plan a mixed-methods study to co-produce and evaluate a new cardiac arrest-specific patient/survivor-reported outcome measure (PROM). Methods: International guidelines have informed a two-stage, iterative, and interactive process.Stage one will establish what is important to measure following cardiac arrest. A meta-ethnography of published qualitative research and a qualitative exploration of the experiences of survivors and their key supporters will inform the development of a measurement framework. This will be supplemented by existing, extensive reviews describing concepts that have previously been measured in this population. Focus groups with survivors, key supporters, and healthcare professionals, followed by further interviews with survivors and key supporters, will inform the iterative refinement of the framework, candidate items, and PROM structure.Stage two will involve a psychometric evaluation following completion by a large cohort of survivors. Measurement theory will inform: the identification of items that best measure important outcomes; item reduction; and provide robust evidence of measurement and practical properties. Discussion: An international, collaborative approach to PROM development will engage survivors, key supporters, researchers, and health professionals from study commencement. Successful co-production of the cardiac arrest survivorship and health-related quality of life (CASHQoL) measure will provide a robust, relevant, and internationally applicable measure, suitable for completion by adult survivors, and integration into research, registries, and routine care settings.Ethical approval: University of Warwick Biomedical & Scientific Research Ethics Committee (BSREC 22/20-21 granted 10/11/20).

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)0.254
metaresearch head score (Gemma)0.209
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.254
Threshold uncertainty score0.920

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2540.209
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0040.005
Science and technology studies0.0060.003
Scholarly communication0.0040.004
Open science0.0040.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0180.005

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 head0.120
GPT teacher head0.415
Teacher spread0.295 · 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.

Study designNot applicable
Domainnot available
GenreProtocol

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

Citations19
Published2022
Admission routes1
Has abstractyes

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