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Record W4415122827 · doi:10.1101/2025.10.10.25337778

Family Members’ Experiences Communicating with Coroners in Suspected Hereditary Sudden Cardiac Death Cases: A Mixed Methods Study

2025· preprint· en· W4415122827 on OpenAlexaffabout
Katherine S. Allan, Katherine L. Mason, A.S. Gershon, June Carroll, Katie N. Dainty, Joel A. Kirsh, Kristopher S. Cunningham, Paul Dorian, Arnon Adler, Julie Rutberg, Steve Lin, Sheldon Cheskes, Jodi Garner, Liz Siydock, Karolyn Yee, Krystina B. Lewis

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsChildren's Hospital of Eastern OntarioOffice of the Chief Medical ExaminerUniversity Health NetworkUniversity of TorontoSinai Health SystemUniversity of Ottawa
Fundersnot available
KeywordsCoronerTimelineSudden cardiac deathTelephone surveyPhoneThematic analysisDescriptive statistics

Abstract

fetched live from OpenAlex

Abstract Background As SCD in the young can be caused by heritable cardiac conditions, up to 50% of family members may be at risk. Coroners are often responsible for communicating this risk, in addition to investigating the cause of death. Purpose To explore how family members of SCD victims experience the type, timing, and suitability of communication with coroners about the cause of death and their own risk for SCD. Methods We conducted an explanatory sequential mixed methods study. Eligible family members of SCD victims who died in 2021 from a potentially heritable cardiac condition and were investigated by the Office of the Chief Coroner of Ontario (Canada) were invited tocomplete a web survey and/or telephone interview. We used descriptive statistics to analyze the survey data and thematic analysis to analyze the interview data. Integration occurred at multiple levels. Results We sent survey invitations to 126 family members of 115 SCD victims; 50 family members completed the web-based survey between September 2022 and February 2024. We interviewed a subset of 17 family members. Most participants received initial communication by phone (n=30, 60%) or in-person (n=13, 26%). While many participants (n=39; 78%) received a timeline of when to expect death investigation results, 16 (32%) did not receive results within the expected timeframe. Family members characterized effective communication as clear, with coroners being perceived as kind, accessible, and approachable. When communication needs went unmet, families relied on external support networks to fill information gaps. Suggestions for improved communication included repeating information and using differing modes of communication to enhance understanding. Conclusions These findings emphasize the need for coroners to adopt empathetic approaches and to deliver information in a timely and clear manner. Addressing current gaps in communication may ensure the needs of grieving family members of SCD victims are met. What is Known - The unexpected and sometimes unclear cause of sudden cardiac death (SCD), particularly in young persons, leaves families grieving, often with unanswered questions. - In many jurisdictions, coroners investigate SCDs and have the most information regarding the circumstances and possible causes. - Communication with coroners influences families’ experiences with respect to learning about the cause of death and their own personal risk for a heritable cardiac condition. What this Study Adds - Family members of SCD victims seek clarity, accessibility, approachability, and kindness in their interactions with coroners. - When family members’ communication needs went unmet, many independently sought resources and support networks outside the coroner system. - Family members recommend improving coroner communication by providing clear timelines for death investigation results, repeating key information using several different modes of communication, and directing the family to counseling resources.

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)0.011
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.028
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0030.004
Open science0.0010.003
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 head0.165
GPT teacher head0.472
Teacher spread0.307 · 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 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
Published2025
Admission routes2
Has abstractyes

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