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Patients’ perspectives on information received in outpatient psychiatry

2006· article· en· W2055812017 on OpenAlexaff
Michel Perreault, Theodora E. Katerelos, Hélène Tardif, Nicole Pawliuk

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsUniversité du Québec à MontréalDouglas CollegeMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsPatient satisfactionConfidentialityScale (ratio)MedicinePerspective (graphical)PsychologyConvergent validitySample (material)Clinical psychologyPsychiatryInternal consistencyNursingComputer scienceComputer security

Abstract

fetched live from OpenAlex

The purpose of this study is to develop a scale in order to determine the informational needs deemed most important by psychiatric outpatients, and to determine their level of satisfaction with information received. The 'Patients' Perspective on Information Questionnaire' (PPIQ) scale was created and given to a volunteer sample of 86 psychiatric outpatients. The Client satisfaction questionnaire (CSQ-8), assessing global satisfaction, was also completed to assess the convergent validity of the PPIQ-Satisfaction subscale. Internal consistency for the two PPIQ subscales (Information and Satisfaction) is excellent (alpha = 0.90 and 0.91). Convergent validity between the Satisfaction subscale and the CSQ is adequate (r = 0.5). The PPIQ reveals high importance ratings given to items such as 'side effects of medication' and 'confidentiality and access to chart'. Elevated satisfaction ratings are given to items from the conceptual category 'treatment information'. Dissatisfaction on the PPIQ is highest for components of 'information on service modality and organization'. The PPIQ appears to distinguish between information that is important to clients and their level of satisfaction with that information. Satisfaction on multiple components of information, such as treatment, service modality and organization, and clinical difficulties should be assessed to generate feedback to improve 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 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)0.001
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 score0.024
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.384
Teacher spread0.365 · 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

Citations21
Published2006
Admission routes1
Has abstractyes

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