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Record W4403195500 · doi:10.1111/hex.70054

Towards a New Integrated Model for Taking Into Account the Experiential Knowledge of People With Chronic Diseases, Integrating Mediation, Therapeutic Education and Partnership: The Expanded Chronic Care Patient–Professional Partnership Model

2024· review· en· W4403195500 on OpenAlexaff
Marie‐Pascale Pomey, Béatrice Schaad, A. Lasserre-Moutet, P. Böhme, Mathieu Jackson

Bibliographic record

VenueHealth Expectations · 2024
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGeneral partnershipHealth careExperiential learningExperiential knowledgeMediationeHealthMedicineNursingChronic careKnowledge managementPsychologyMedical educationComputer scienceChronic diseaseFamily medicineSociologyPedagogyBusinessPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: The Chronic Care Model (CCM), the Expanded Chronic Care Model (ECCM) and the eHealth Enhanced Chronic Care Model (eCCM) focus on how healthcare teams and eHealth support can offer effective care and relevant solutions for patients facing chronic care conditions. However, they do not consider how patients can help these teams in their work, nor do they promote ways in which patients can help themselves. However, in the last decade, three different models have emerged that can complete our capacity to design and deliver integrated care for people with chronic diseases. In this article, we propose a revised version of the model that integrates the patient perspective and patients' experience-based knowledge. It integrates three different ways of engaging patients that complement the other patient engagement point of view: the experience of care and mediation in healthcare, therapeutic patient education and patient learning pathways, as well as patient-professional partnership. METHODOLOGY: For each of the three models, we conducted a review of the literature using CINAHL, Medline, OVID, EMBASE PsychINFO, Science Direct and government reports on patient engagement and partnership with their healthcare providers, to integrate the different components of these models into the ECCM and eCCM. The goal is to create a model that better takes into account the experiential knowledge of patients and citizens throughout its different dimensions. RESULTS: We identified 129 papers based on their framework, design, sample, measures and fit with patient engagement and chronic illness and added our own research when relevant. Integrating the three models provides an opportunity to amplify the role played by the patient perspective in the management of chronic disease. The Expanded Chronic Care Patient-Professional Partnership Model (E2C3PM) is intended to rebalance power relations between healthcare professionals and patients (and their caregivers). This new model is based on recognizing patients' experiential knowledge and their roles as caregivers and as full members of the care team. Integrating patient empowerment into the E2C3PM underscores the importance of coproduction care with patients at the clinical, organizational and system levels within a supportive environment. CONCLUSION: Applying this new model should make it possible to better take into account the complexity of chronic diseases, improving the integration not only of care, services and eHealth support but also the various determinants of health and reaching a mutually beneficial settlement among all actors involved. PATIENT OR PUBLIC CONTRIBUTION: A patient-researcher contributed to the development of the protocol, the data collection and the preparation and writing of this manuscript.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.720
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.064
GPT teacher head0.426
Teacher spread0.361 · 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 designOther design
Domainnot available
GenreReview

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

Citations9
Published2024
Admission routes1
Has abstractyes

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