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Record W2777427920 · doi:10.18192/uojm.v7i2.2138

Personal goals of women recently diagnosed with breast cancer: Protocol for a cohort study

2017· article· en· W2777427920 on OpenAlexaffvenueabout
Andrea Chow, Dean Fergusson, Dugald Seely, Sarah Young, Anne Pitman, Julie Ennis, Sarah Asad, Justin Presseau

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsOttawa HospitalOttawa Regional Cancer FoundationUniversity of Ottawa
Fundersnot available
KeywordsProtocol (science)Breast cancerMedicineCohortThematic analysisFamily medicineMedical educationGynecologyCancerQualitative researchAlternative medicineInternal medicinePathologySociology

Abstract

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Objectives: This study aims to identify the personal goals of women with breast cancer, to describe the characteristics of partici- pants’ personal goals over four months, and to identify barriers and facilitators to their pursuit.Methods: This protocol outlines plans to conduct a prospective cohort study. We will recruit women participating in the Ottawa In- tegrative Cancer Centre’s Head Start program (an integrative oncology psychoeducational program in Ottawa, Canada), and those on the program’s waiting list if possible. We anticipate a sample size of approximately 18 to 36 women. Prior to the beginning of Head Start, participants will identify their current personal goals and rate them on various dimensions on a questionnaire. At one and three months, participants will re-assess their goals and their goal pursuit. In a one-on-one interview at three months, they will identify barriers and facilitators to the pursuit of their goals. We will analyze quantitative data using descriptive and inferential statistics, and qualitative data using thematic content analysis.Conclusion: Findings from this study will identify important information about the personal goals of women recently diagnosed with breast cancer that can help to support the process of positive goal adjustment and enhance support to these women. RésuméObjectifs : Cette étude vise à identifier les objectifs personnels des femmes atteintes d’un cancer du sein, à décrire les caractéristiques des objectifs personnels des participantes sur une période de quatre mois, et à identifier les obstacles et les facilitateurs à leur poursuite.Méthodes : Ce protocole décrit les plans pour mener une étude de cohorte prospective. Nous recruterons des femmes qui participeront au programme Head Start du Centre de cancérologie intégrative d’Ottawa (un programme psychopédagogique intégratif en oncologie à Ottawa, au Canada) et celles qui sont sur la liste d’attente du programme, si possible. Nous prévoyons un échantillon d’environ 18 à 36 femmes. Avant le début de Head Start, les participantes identifieront leurs objectifs personnels actuels et les noteront sur différentes dimensions dans un questionnaire. À un et trois mois, les participantes réévalueront leurs objectifs et la poursuite de leur objectif. Dans une entrevue individuelle à trois mois, elles identifieront les obstacles et les facilitateurs à la poursuite de leurs objectifs. Nous analyserons les données quantitatives à l’aide de statistiques descriptives et inférentielles, et les données qualitatives à l’aide d’analyses de contenu thématiques. Conclusion : Les résultats de cette étude permettront d’identifier des informations importantes sur les objectifs personnels des femmes récemment diagnostiquées avec un cancer du sein qui peuvent aider à soutenir le processus d’ajustement positif des objectifs et améliorer le soutien à ces femmes.

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)0.003
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.323
Teacher spread0.298 · 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 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

Citations6
Published2017
Admission routes3
Has abstractyes

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