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Record W6928944871 · doi:10.48448/bz23-mw37

Communicating with families during Pediatric ECMO: recommendations from a Delphi panel

2023· other· en· W6928944871 on OpenAlexaboutno aff

Bibliographic record

VenueUnderline Science Inc. · 2023
Typeother
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleDelphi methodGuidelineIntervention (counseling)SafeguardingIntensive carePsychological interventionDelphi

Abstract

fetched live from OpenAlex

Scoring is only possible in the semifinals hall Abstract: Background Extracorporeal membrane oxygenation (ECMO) is a complex medical intervention that is increasingly being used by the pediatric population. It is associated with significant morbidities and high mortality. ECMO therapy involves multiple ethical dilemmas and is associated with greater moral distress than routine intensive care, including significant parental psychological distress. Communication during ECMO courses is often unclear, with one study reporting that nearly a quarter of parents felt they were not told about the possibility of death until their child failed to improve on ECMO and discontinuation was discussed. High-quality communication is crucial to the support that clinical teams can provide families. To date, no consensus guideline on best practices for communicating during pediatric ECMO therapy exists, nor have areas of disagreement amongst experts been assessed. This study sought to develop the first consensus guideline for communicating during pediatric ECMO therapy and identify areas of disagreement. Methods We used the Delphi methodology, which consists of 3 iterative rounds. During Round 1, we conducted semi-structured interviews with each panelist, who were pediatricians from the US and Canada from the following pediatric specialties: intensive care, cardiac intensive care, and neonatology. We then used content analysis to code the interviews and develop potential recommendations. During Round 2, panelists evaluated each item via a Likert scale as a potential recommendation. Before Round 3, panelists were provided personalized feedback reports of the results of Round 2. During Round 3, panelists re-evaluated items that did not reach consensus during Round 2. Items that reached consensus in Rounds 2 and 3 were translated into the final framework. Results Consensus was defined as (1) a median rating >7 and (2) >70% of the panelists rating the recommendation >7. The final framework included 105 recommendations. The recommendations emphasized the importance of clarifying the goal of ECMO, its time-limited nature, and the possibility of its discontinuation resulting in patient death. The recommendations also provide guidance on how to share updates with the family and perform compassionate discontinuation. Conclusion A panel of experts developed recommendations for communicating with families during pediatric ECMO therapy. The recommendations offer guidance for communicating during the introduction of ECMO, providing updates throughout the ECMO course, and during the discontinuation of ECMO. Areas of disagreement on best communication practices were also identified and should be further explored.

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)0.361
metaresearch head score (Gemma)0.308
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.361
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3610.308
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.003
Science and technology studies0.0090.007
Scholarly communication0.0060.009
Open science0.0070.017
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.062
GPT teacher head0.323
Teacher spread0.261 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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