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Record W2576421472 · doi:10.1177/0706743716680167

Patient Characteristics, Length of Stay, and Functional Improvement for Schizophrenia Spectrum Disorders: A Population Study of Inpatient Care in Ontario 2005 to 2015

2016· article· en· W2576421472 on OpenAlexaffvenueabout
Sheng Chen, April Collins, Kelly K. Anderson, Kwame McKenzie, Sean A. Kidd

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2016
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoWestern UniversityCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychosocialGlobal Assessment of FunctioningMedicineSchizophrenia (object-oriented programming)Mental healthPsychiatryPopulationHealth careMental illnessEnvironmental health

Abstract

fetched live from OpenAlex

AbstractObjectives:Schizophrenia and associated illnesses account for a large proportion of mental illness burden and health care expenditures, with the majority of expense involving inpatient care. To date, the literature exploring factors associated with length of stay (LOS) and functional improvement during inpatient care is underdeveloped. In response, this study examined the association between patient characteristics, LOS, and functional improvement using Ontario Mental Health Reporting System (OMHRS) data from 2005 to 2015.Methods:The associations of patient characteristics (including key demographics, psychosocial variables, reasons for admission, and service use history) and 2 outcome measures (LOS and Global Assessment of Functioning [GAF]) were analysed with generalised linear mixed modelling (GLMM). From 2005 to 2015, a total of 48,498 episodes for distinct patients from 18 psychiatric hospitals and 57 general hospitals in Ontario were included.Results:For psychiatric and general hospitals, mean LOS was 96.6 and 20.5 days, and mean GAF improvement was 14.8 and 16.1, respectively. The majority of associations probed demonstrated a high degree of significance with similar patterns across general and tertiary facility contexts. Older age and more recent readmission following a psychiatric discharge were associated with longer LOS and less GAF improvement. Recent experience of adverse life events and substance misuse were associated with shorter LOS.Conclusions:While the findings of this exploratory cross-sectional analysis will require further inquiry with respect to validity and reliability, they suggest that a different service pathway is likely required for individuals with greater psychosocial challenge and extensive service use histories. RésuméObjectif:La schizophrénie et les maladies apparentées représentent une large proportion du fardeau de la maladie mentale et des dépenses de soins de santé, la majorité des dépenses impliquant les soins des patients hospitalisés. Jusqu’ici, la littérature explorant les facteurs associés à la durée de séjour (DDS) et à l’amélioration fonctionnelle durant l’hospitalisation des patients est sous-développée. En réponse, cette étude a examiné l’association entre les caractéristiques des patients, la DDS et l’amélioration fonctionnelle à l’aide des données du Système d’information ontarien sur la santé mentale (SIOSM) de 2005 à 2015.Méthodes:Les associations entre les caractéristiques des patients (y compris les données démographiques, les variables psychosociales, les raisons de l’hospitalisation, et les antécédents d’utilisation des services) et 2 mesures des résultats [la DDS et l’Échelle d’évaluation globale du fonctionnement (GAF)] ont été analysées avec un modèle linéaire généralisé (GLMM). De 2005 à 2015, les données de 48 498 épisodes de patients distincts de 18 hôpitaux psychiatriques et de 57 hôpitaux généraux d’Ontario ont été incluses.Résultats:Pour les hôpitaux psychiatriques et généraux, la DDS moyenne était de 96,6 jours et de 20,5 jours, et l’amélioration moyenne à la GAF était de 14,8 et de 16,1, respectivement dans les 2 cas. La majorité des associations examinées démontraient un degré élevé de signification avec des modèles semblables dans tous les contextes d’établissements généraux et tertiaires. L’âge avancé et une réhospitalisation plus récente suivant un congé psychiatrique étaient associés à une DDS plus longue et moins d’amélioration à la GAF. L’expérience récente d’événements de vie défavorables et l’abus de substances étaient associés à une DDS plus courte.Conclusions:Bien que les résultats de cette analyse transversale exploratoire demandent plus de recherche en ce qui concerne la validité et la fiabilité, ils suggèrent qu’une trajectoire de service différente est probablement nécessaire pour les personnes ayant un problème psychosocial plus grave et de lourds antécédents d’utilisation des services.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.066
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 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

Citations40
Published2016
Admission routes3
Has abstractyes

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