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Record W2021473642 · doi:10.1027/0227-5910/a000132

Understanding the Risks of Recent Discharge: The Phenomenological Experiences

2012· article· en· W2021473642 on OpenAlexafffund
John R. Cutcliffe, Paul S. Links, Henry G. Harder, Yvonne Bergmans, Ken Balderson, Rahel Eynan, Munazah Ambreen, Rosanne Neibaum

Bibliographic record

VenueCrisis · 2012
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of TorontoUniversity of Northern British ColumbiaSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsInterpretative phenomenological analysisPhenomenology (philosophy)PsychologySociologyEpistemologyPhilosophyQualitative researchSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence indicates that people whose mental health problems lead them to require psychiatric hospitalization are at a significantly increased risk of suicide, and the period of time immediately following discharge after such hospitalizations appears to be a particularly high-risk time. AIMS: This paper reports on phenomenological findings from a federally funded, mixed-methods study that sought to better understand the observed increased risk for suicide following discharge from an inpatient psychiatric service. METHODS: A purposive sample of 20 recently discharged former suicidal inpatients was obtained. Data were collected from the participants in hermeneutic interviews lasting between 1 h and 2 h and analyzed according to van Manen's (1997) interpretation of hermeneutic phenomenology. RESULTS: Two key themes were induced: "Existential Angst at the Prospect of Discharge" and "Trying to Survive While Living Under the Proverbial 'Sword of Damocles'." Each of these was comprised of five themes with the second key theme - the focus of this paper - encompassing the following: "Needing Postdischarge Support," "Feeling Lost, Uncertain and Disorientated," "Feeling Alone and Isolated," "Suicide Remains an Option," and "Engaging in Soothing, Comforting Behaviors." CONCLUSIONS: The authors conclude that early exploration of and reconciling patients' expectations regarding inpatient care for their suicidality would appear to be an empirically based intervention that could diminish the postdischarge risk for further suicide attempts.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.997

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)0.0040.000

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 head0.459
GPT teacher head0.427
Teacher spread0.032 · 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 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

Citations11
Published2012
Admission routes2
Has abstractyes

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