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Record W2011671009 · doi:10.1108/09526860110391586

Information as a distinct dimension for satisfaction assessment of outpatient psychiatric services

2001· article· en· W2011671009 on OpenAlexaff
Michel Perreault, Theodora E. Katerelos, Stéphane Sabourin, Pierre Leichner, Julie Eve Desmarais

Bibliographic record

VenueInternational Journal of Health Care Quality Assurance · 2001
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsUniversité LavalUniversité du Québec à MontréalMcGill UniversityDouglas Mental Health University InstituteDouglas College
Fundersnot available
KeywordsDimension (graph theory)Scale (ratio)Patient satisfactionPsychologyPsychiatryClinical psychologyMedicineNursingMathematicsGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to verify whether information on services would appear as a distinct dimension of satisfaction in a multidimensional scale. Data collection was performed in two phases: 263 patients received the original version of the questionnaire and 200 received an adapted version of the scale. The findings suggest that not only is it important to consider information as a distinct dimension of satisfaction but it is equally important to examine three categories, consisting of satisfaction with information on; patients' problems/illness; distinct treatment components such as medication and psychotherapy; and patients' treatment progress.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.497
Teacher spread0.444 · 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

Citations32
Published2001
Admission routes1
Has abstractyes

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