MétaCan
Menu
Back to cohort
Record W4410943834 · doi:10.2196/59683

Practical Approaches to Patient-Centered Care in Europe: Mixed Methods Study Developing a Conceptual Framework for Comprehensive Cancer Care Networks

2025· article· en· W4410943834 on OpenAlexvenueno aff
Emily Hickmann, Peggy Richter, Hannes Schlieter, Maja Čemažar, Marjetka Jelenc, Xavier Troussard, Simone Wesselmann

Bibliographic record

VenueJMIR Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintCancerComputer scienceMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: In contemporary health care, patient-centered care has emerged as a pivotal paradigm shift that redefines the traditional physician-centric model. Particularly in the context of cancer care, marked by its intricate nature and emotional impact, there is a pressing requirement to rethink how health care is delivered. In this context, comprehensive cancer care networks (CCCNs) provide a new means of structuring and delivering quality cancer care, recognizing each patient's unique preferences and needs. OBJECTIVE: This study aimed to establish a consistent definition and framework for patient centeredness in CCCNs, facilitating the integration of a patient-centered approach to enhance care quality. METHODS: We conducted an umbrella review focusing on generic and oncology-specific dimensions of patient centeredness to establish the definition and framework. The data were analyzed and synthesized using an inductive category development approach, which guided the derivation of dimensions for the framework. The review was complemented by a survey of 23 key stakeholders within CCCNs and a focus group with patient representatives. This process involved iterative group discussions to achieve consensus on the framework and definition. RESULTS: The study presents a robust definition and framework of patient centeredness tailored to CCCNs, validated by an initial agreement rate of 96% among survey respondents. Patient centeredness in a CCCN is defined as a philosophy of care prioritizing the physical, emotional, and social needs and personal values of patients with cancer at every step of the patient pathway. In patient-centered CCCNs, patients are empowered and engaged in becoming active partners in health care in relation to their individual preferences and capabilities, with the goal of providing personalized, high-quality, holistic care with the best possible outcomes. The framework comprises 8 primary dimensions: empowering patients, engaging and involving patients, treating the patient as a unique person, enhancing the therapeutic relationship, enhancing a patient-centered culture, providing holistic care, recognizing and supporting the health care professional as a person, and coordinating care. Each dimension is supported by specific subdimensions and actionable patient-centered activities that facilitate practical implementation. CONCLUSIONS: The results provide a comprehensive perspective on the complex elements that compose patient-centered care within CCCNs in Europe. This contributes to a better understanding and application of patient centeredness in cancer care and possibly other contexts. The results presented in this paper promise to support cancer care networks and other health care contexts in creating a patient-centered environment where patients feel genuinely heard, valued, and actively engaged in their care decisions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.186
GPT teacher head0.456
Teacher spread0.270 · 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 designQualitative
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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJMIR CancerSame topicCancer survivorship and careFrench-language works237,207