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Record W2023974510 · doi:10.1097/pec.0b013e3181bec8f2

Patients' and Caregivers' Beliefs About Depression Screening and Referral in the Emergency Department

2009· article· en· W2023974510 on OpenAlexaff
Megan E. Pailler, Peter F. Cronholm, Frances K. Barg, Matthew B. Wintersteen, Guy S. Diamond, Joel A. Fein

Bibliographic record

VenuePediatric Emergency Care · 2009
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsInstitute of Health Economics
FundersU.S. Public Health Service
KeywordsMedicineEmergency departmentReferralDepression (economics)Intensive careMedical emergencyEmergency medicineFamily medicinePsychiatryIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To explore patients' and parents'/caregivers' beliefs about the acceptability of universal depression screening in the emergency department (ED) and their perceptions of the barriers and facilitators to a mental health referral following a positive screen. METHODS: We conducted semistructured interviews with 60 patients seeking care and 59 caregivers in the ED of an urban children's hospital. Interviews were audiotaped, transcribed, coded, and entered into N6 (version 6.0; QSR, Thousand Oaks, Calif) for coding and content analysis. RESULTS: Patients and caregivers supported the idea of depression screening in the ED, generally viewing screening as a reflection of care and concern. Respondents reported apprehension about stigma, privacy, and provider sensitivity. Introducing the screening concept early in the visit and as part of routine care was believed to reduce stigma. Respondents generally indicated that although they would likely follow through with a referral if given, stigma and denial were viewed as significant barriers. Caregivers also reported that logistical problems such as transportation, insurance, and agency hours created barriers to help seeking, but this could be offset by social supports and information about the agency and the provider. CONCLUSIONS: Patients and caregivers generally support depression screening in the pediatric ED but identified several barriers to screening and referral for treatment. Recommendations include introduction of universal screening early in the ED visit, provision of specific information about the meaning of screening results, and support from family and health care providers to help reduce stigma and increase referral acceptability.

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 distilled prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.000
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 score0.065
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.333
Teacher spread0.313 · 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 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

Citations43
Published2009
Admission routes1
Has abstractyes

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