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Record W3165613014 · doi:10.1111/nicc.12648

Development of a parent experience measure for paediatric critical care transport teams

2021· article· en· W3165613014 on OpenAlexaff
Ruth Evans, Victoria Barber, Sarah E Seaton, Elizabeth S. Draper, F. Rajah, Christina Pagel, Eithne Polke, Padmanabhan Ramnarayan, Jo Wray

Bibliographic record

VenueNursing in Critical Care · 2021
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsInstitute of Infection and Immunity
FundersHealth Services and Delivery Research ProgrammeNational Institute for Health and Care Research
KeywordsExploratory factor analysisIntensive careDescriptive statisticsNursingMedicinePsychologyFamily medicinePsychometricsClinical psychology

Abstract

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BACKGROUND: A third of children admitted to paediatric intensive care units (PICUs) in the United Kingdom (UK) are transported by paediatric critical care transport services (PCCTs). Parents have described the transfer journey as particularly stressful. Critical care nurses have a key role in mitigating the impact of the journey on parents. Evaluating parents' experiences is important to inform service improvements. AIM AND OBJECTIVES: Our aim was to describe the development of a new measure of parents' experiences of PCCTs, derived from data collected in the Differences in access to Emergency Paediatric Intensive Care and care during Transport (DEPICT) study. DESIGN: A descriptive cross-sectional survey was used. METHODS: As part of the DEPICT study, a 17-item transport experience questionnaire was developed and given to parents of children transported by PCCTs to 24 UK PICUs during a 12-month period. Analyses included exploratory factor analysis and a validation review by a PCCT stakeholder group. RESULTS: Families of 1722 children (1798 journeys) completed questionnaires. Five items were excluded from further analysis as correlation coefficients were <0.3. Two factors explained 53% of the variance and all 12 items loaded on one of these factors. Factor 1 (8 items) explained 47% of the variance, had excellent internal reliability and the clustered items were conceptually coherent with a specific relevance to PCCTs; these were offered for consideration, with other items possibly discarded. Twenty-eight PCCT clinicians reviewed the questions. Using a 70% agreement threshold, one additional, previously discarded, item was identified for inclusion, resulting in a nine-item experience measure. CONCLUSION: Our brief measure of parents' experience of critical care transport provides a standardized measure that can be used across all PCCTs, enabling national benchmarking of services and potentially increasing the collection and use of parent experience data to improve services. RELEVANCE TO CLINICAL PRACTICE: Being able to measure experience provides an opportunity to understand how to make services better to improve experience.

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)0.007
metaresearch head score (Gemma)0.019
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.090
GPT teacher head0.415
Teacher spread0.326 · 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
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

Citations6
Published2021
Admission routes1
Has abstractyes

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