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Record W7161964029 · doi:10.82308/30053

Effect of discordant physician-patient perceptions on patient adherence in inflammatory bowel disease

2001· dissertation· en· W7161964029 on OpenAlexaboutno aff
Maida. Sewitch

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialInflammatory bowel diseaseVisual analogue scaleProspective cohort studyDistressCohortRepeated measures designUlcerative colitisDiseaseTelephone interview

Abstract

fetched live from OpenAlex

Background. Discordant physician-patient perceptions on health-related information have been related to less favourable health outcomes and increased use of health services. Objectives. To develop a psychometrically-sound measure of physician-patient discordance that could be used by clinicians and researchers working with patients with various chronic diseases. To investigate the relationship between physician-patient discordance and patient adherence to self-care in inflammatory bowel disease. Study design and population. A prospective cohort study with follow-ups at 2-weeks and 4-months was conducted between February and November 1999 at three gastroenterology clinics affiliated with the McGill University Health Centre. Ten physicians and 200 patients with inflammatory bowel disease participated in the study. Methods. A 10-item visual analog scale questionnaire was developed which assessed perceptions of the patient's health status and of the clinical visit. Questionnaires were completed independently by physicians and patients following the index clinical visit. Discordance was calculated within physician-patient pairs. Demographic, clinical and psychosocial data were obtained prior to the visit. Patient adherence data were obtained at 2-weeks using a telephone interview and mail-back survey. General adherence was assessed with a visual analog scale; medication adherence was determined with a validated questionnaire. Medication data were obtained by chart review at 4-months. Multivariable generalized estimating equations models and mixed models for unbalanced repeated measures analysis of variance were used to determine associations between discordance and patient adherence. Results. Satisfactory psychometric properties were obtained for discordance scores. Higher psychological distress was the most important determinant of higher discordance. Higher distress was correlated with active disease, less time since diagnosis, greater number and impact of negative life events. Higher satisfaction with social support reduced psychological distress by buffering the negative impact of perceived stress. Higher discordance on symptoms and treatment increased the risk of general nonadherence in patients with higher social support satisfaction. Medication adherence was associated with active disease, greater disease duration and scheduling another appointment. Higher discordance on well-being decreased the probability of medication adherence in non-distressed patients. Conclusion. Preliminary evidence has been provided to support the validity of the new measure of physician-patient discordance. Higher discordance was associated with an increased risk of nonadherence in patients with healthy psychosocial characteristics.

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)0.010
metaresearch head score (Gemma)0.087
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 score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.087
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.054
GPT teacher head0.408
Teacher spread0.355 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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