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Psychosocial Care for Injured Children: Worldwide Survey among Hospital Emergency Department Staff
Eva Alisic, Claire Hoysted, Nancy Kassam‐Adams, Markus A. Landolt, Sarah Curtis, Anupam B. Kharbanda, Mark D Lyttle, Niccolò Parri, Rachel Stanley, Franz E Babl, Martin H. Osmond, Amy C. Plint, Stephen B. Freedman, David Johnson, Diana Murray, Sarah Williamson-Urquhart, Janet Curran, Andrew Dixon, Garth Meckler, Liza Bialy, Quynh Doan, Antonia Stang, Ahmed Mater, Darcy Beer, Gary Joubert, Anthony Crocco, Adrienne L. Davis, Andrea Moore, Waleed Alqurashi, S.A. Dubrovsky, Evelyne D Trottier, Mathieu Blanchet, Katrina Hurley, Robert D. Porter, Marc Auerbach, Todd P. Chang, Andrea T. Cruz, Charles G. Macias, Todd A. Florin, Prashant Mahajan, Rakesh D. Mistry, David Schnadower, Lise E. Nigrovic, Kenneth A. Michelson, Ian Maconochie, Stuart Hartshorn, Steven Foster, Cath Bevan, Ronan O’Sullivan, Mark Mitchelson, Julie‐Ann Maney, Sarah Potter, Paul A. Younge, Colin Powell, Gisela Robinson, Carol Blackburn, Turlough Bolger, Róisín McNamara, Paul Leonard, Adam Reuben, V. Choudhery, Joanne Mulligan, Roger Alcock, Ffion Davies, Bimal Mehta, Ami Parikh, James Ross, John Criddle, Emer Sutherland, Tina Sajjanhar, Shye Wong, J. Thiagarajan, Andrew Rowland, K. Potier, Clare Dieppe, Lucy Thomas, J. H. B. Smith, Chris Vorwerk, Kate Lenton, Derek Burke, Jason Barling, Niall Mullen, Kirsty Dickson-Jardine, Santiago Mintegui Raso, Borja Gómez, Liviana Da Dalt, Alain Gervaix, Henriëtte A. Moll, Yehezkel Waisman, Luigi Titomanlio, Javier Benito, Hayri Levent Yılmaz, Özlem Tekşam, Geetanjali Srivastava, Zsolt Bognár, D Moldovan, Carles Luaces-Cubells, Nadeem Qureshi, G. Chéron, Felix Kreier, Roberto Velasco, Sandrine Leroy, Gábor Simon, Patrick Van de Voorde, Santiago Mintegi, Richard M. Ruddy, Peter S. Dayan, Robert W. Hickey, Nathan Kuppermann, James Chamberlain, J. Michael Dean, E. Brooke Lerner, Alexander J. Rogers, Daniel J. Cohen, Lynn Babcock, David C. Brousseau, Maria Y. Kwok, Lalit Bajaj, Thomas H. Chun, Jonathan D. Bennett, Leah Tzimenatos, Douglas C. Nelson, Kathy Brown, Elizabeth C. Powell, Nicholas Cheng, Michael Zhang, Simon Craig, Stuart R. Dalziel, Kam Sinn, Mary McCaskill, Shane George, Jocelyn Neutze, Natalie Phillips, Meredith L Borland, Lisa Barrow, Arjun Rao, Jeremy Furyk, Amit Kochar, J. G. Chamberlain
Bibliographic record
VenueThe Journal of Pediatrics · 2015
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsResearch CanadaWomen and Children’s Health Research InstituteUniversity of Alberta
FundersMaternal and Child Health BureauMedical Research CouncilU.S. Public Health ServiceHealth Resources and Services AdministrationNational Health and Medical Research CouncilState Government of VictoriaMonash UniversityChildren's Hospital Foundation
KeywordsPsychosocialMedicineRespondentEmergency departmentDescriptive statisticsDistressFamily medicineNursingPsychiatryClinical psychology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.002
metaresearch head score (Gemma)0.001
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 score0.213
Threshold uncertainty score0.554
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.052
GPT teacher head0.376
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Citations35
Published2015
Admission routes1
Has abstractno