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Record W2800824396 · doi:10.1177/247553031117a00407

Psoriasis Patients' Reflections on Provider Information Giving: Perceptions of Actual and Desired Experiences at Diagnosis

2011· article· en· W2800824396 on OpenAlexaff
Barat Wolfe, Ashley O’Toole, Jerry Tan, Fuschia M. Sirois

Bibliographic record

VenuePsoriasis Forum · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcMaster UniversityBishop's UniversityWestern UniversityUniversity of Windsor
Fundersnot available
KeywordsAcknowledgementPsoriasisPsychosocialPerceptionMedicineQuality of life (healthcare)DiseaseQualitative researchPsychologyFamily medicineNursingPsychiatryDermatologyPathologyComputer scienceSociology

Abstract

fetched live from OpenAlex

Background Psoriasis adversely impacts patients' quality of life, yet few studies have explored patients' experiences at diagnosis, a pivotal though largely negative time for any patient suffering from chronic disease. Objective Our objective was to identify potential shortcomings in the content and process of information delivery from the patient's perspective. Methods Twenty-three psoriasis patients completed an online survey regarding information they considered valuable at diagnosis and, in retrospect, content they would like to have received. Results Responses were subjected to a qualitative content analysis that revealed several themes: need for information and options, discussion of time and effort to find the right treatment, for providers to offer hope, and discussion of the psychosocial impact of psoriasis. Conclusions Many patients perceived negative actual experiences at diagnosis that were incongruent with their desired experiences. Psoriasis patients wanted information about disease and management, acknowledgement of psychosocial impact, and an empathetic mode of communication.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.188
GPT teacher head0.391
Teacher spread0.202 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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