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Record W4402441558 · doi:10.1016/j.eclinm.2024.102825

Supportive care 2030 movement: towards unifying ambitions for global excellence in supportive cancer care—an international Delphi study

2024· article· en· W4402441558 on OpenAlex
Raymond J. Chan, Reegan Knowles, Fredrick D. Ashbury, Joanne M. Bowen, Alexandre Chan, Melissa Chin, Ian Olver, Carolyn Taylor, Stacey Tinianov, Paola Alberti, Paolo Bossi, Norman Brito-Dellan, Tim Cooksley, Gregory B. Crawford, Niharika Dixit, Margaret I. Fitch, Jason L. Freedman, Pamela Ginex, Nicolas H. Hart, Daniel L. Hertz, Michael Jefford, Bogda Koczwara, Tateaki Naito, Andrea D. Orsey, Christina H. Ruhlmann, Nikolaos Tsoukalas, Corina van den Hurk, Ysabella Van Sebille, Hannah R. Wardill, Florian Scotté, Maryam B. Lustberg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEClinicalMedicine · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of TorontoCancer Care OntarioUniversity of Calgary
FundersNational Center for Advancing Translational SciencesNational Health and Medical Research CouncilLEO PharmaOno PharmaceuticalOtsuka PharmaceuticalPfizerVifor PharmaFondazione CariploLes Laboratories Pierre FabreHelsinnGilead SciencesSanofiAmerican Society of Clinical OncologyAmgen
KeywordsMedicineExcellenceDelphi methodDelphiNursing

Abstract

fetched live from OpenAlex

Background: Supportive care to ensure optimal quality of life is an essential component of cancer care and symptom control across the lifespan. Ongoing advances in cancer treatment, increasing toxicity from many novel treatment regimes, and variations in access to care and cancer outcomes across the globe and resource settings present significant challenges for supportive care delivery. To date, no overarching framework has been developed to guide supportive care development worldwide. As an initial step of the Multinational Association of Supportive Care in Cancer (MASCC) Supportive Care 2030 Movement, we developed a targeted, unifying set of ambition statements to envision the future of supportive cancer care. Methods: From September 2022 until June 2023, we used a modified Delphi methodology to develop and attain consensus about ambition statements related to supportive cancer care. Leaders of MASCC Study Groups were invited to participate in an Expert Panel for the first two Delphi rounds (and a preliminary round to suggest potential ambition statements). Patient Advocates then examined and provided input regarding the ambition statements. Findings: Twenty-seven Expert Panelists and 11 Patient Advocates participated. Consensus was attained on 13 ambition statements, with two sub-statements. The ambition statements addressed global standards for guideline development and implementation, coordinated and individualized care, dedicated supportive oncology services, self-management, needs for screening and actions, patient education, behavioral support, financial impact minimization, comprehensive survivorship care, and timely palliative care, reflecting collaboration, coordination and team-based approach across all levels. Interpretation: This study is the first to develop shared ambitions for the future of supportive cancer care on a global level. These ambition statements can facilitate a coordinated, resource-stratified, and person-centered approach and inform research, education, clinical services, and policy efforts. Funding: This project received funding support from Prof Raymond Chan's NHMRC Investigator Grant (APP1194051).

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.204
GPT teacher head0.581
Teacher spread0.377 · 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