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Record W4285605743 · doi:10.1016/j.prdoa.2022.100156

Empowered patient: A program to improve people with Parkinson’s communication with health care professionals

2022· article· en· W4285605743 on OpenAlexafffund
Muhammed Shahriar Zaman, Setareh Ghahari, Mary Ann McColl

Bibliographic record

VenueClinical Parkinsonism & Related Disorders · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsQueen's University
FundersParkinson Canada
KeywordsTest (biology)Health careCohortMedicineProgram evaluationHealth professionalsNursingPsychology

Abstract

fetched live from OpenAlex

Background: Communication breakdown between patients and health care professionals poses an accessibility gap preventing adequate health care. The Empowered Patient Program was developed to support people with Parkinson's in improving their health communication skills/strategies and thus facilitate the accessibility gap in their care. Objective: Our pilot study aimed to test the feasibility and preliminary effect of the Empowered Patient Program within a small cohort of individuals with Parkinson's disease. Methods: We completed a pre-test-post-test pilot study. Eight participants completed the Empowered Patient Program for this pilot study. Data collection was completed by administering a questionnaire prior to the program, immediately after program completion, and three months post-completion. We additionally conducted two telephone interviews with the participants to qualitatively gather feedback on the program. Results: The program elucidated statistically significant improvement across domains/areas of knowledge (p = 0.01) and self-perceived communication skills (p = 0.04) among the participants. Through feedback from the patient interviews, it was confirmed that these significant improvements were owed largely to the high level of organization, intuitive user interface, and suitable content of the program for this cohort. Conclusions: The Empowered Patient Program pilot resulted in a desired outcome indicating its satisfactory development. The next steps are to test the Empowered Patient program in a larger sample.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.004
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 head0.021
GPT teacher head0.435
Teacher spread0.413 · 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 designNot applicable
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

Citations1
Published2022
Admission routes2
Has abstractyes

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