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Record W2569670857 · doi:10.1371/journal.pone.0168782

Perceived Case Management Needs and Service Preferences of Frequent Emergency Department Users: Lessons Learned in a Large Urban Centre

2016· article· en· W2569670857 on OpenAlexafffund
Deborah Kahan, Daniel Poremski, Deborah Wise-Harris, Daniel Pauly, Molyn Leszcz, Donald Wasylenki, Vicky Stergiopoulos

Bibliographic record

VenuePLoS ONE · 2016
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsCentre for Addiction and Mental HealthSt. Michael's HospitalUniversity of Toronto
FundersOntario Ministry of Health and Long-Term Care
KeywordsThematic analysisMental healthIntervention (counseling)Psychological interventionFocus groupService providerService (business)NursingEmergency departmentService delivery frameworkPsychologyMedicineQualitative researchBusinessPsychiatryMarketingSociology

Abstract

fetched live from OpenAlex

OBJECTIVES: This study aimed to explore the service needs and preferences of frequent emergency department users with mental health and addictions concerns who participated in a brief intensive case management intervention. METHODS: We conducted semi-structured individual interviews with 20 frequent emergency department users with mental health and addictions challenges, 13 service providers involved in the delivery of a brief case management intervention, and a focus group with intervention case managers. Thematic analysis was used to explore perceived service user profiles, service needs and preferences of care. RESULTS: Service users experienced complex health and social needs and social isolation, while exhibiting resilience and the desire to contribute. They described multiple instances of stigmatization in interactions with healthcare professionals. Components of the brief intensive case management intervention perceived to be helpful included system navigation, advocacy, intermediation, and practical needs assistance. Frequent service users valued relational responsiveness, a non-judgmental stance, and a recovery orientation in case managers. CONCLUSION: Interventions for frequent service users in mental health may be enhanced by focusing on the engagement of formal and informal social supports, practical needs assistance, system navigation, advocacy and intermediation, and attention to the recovery goals of service users.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.999

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 head0.321
GPT teacher head0.391
Teacher spread0.070 · 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.

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

Citations33
Published2016
Admission routes2
Has abstractyes

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