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Record W2207724177 · doi:10.3747/co.22.2786

Wellness beyond Cancer Program: Building an Effective Survivorship Program

2015· article· en· W2207724177 on OpenAlexafffundvenue
Moira Rushton, Robin Morash, Gail Larocque, Carrie M. Liska, Lidia Stoica, C. DeGrasse, Roanne Segal

Bibliographic record

VenueCurrent Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersCancer Care Ontario
KeywordsSurvivorship curveMedicineCancer survivorshipCancerGerontologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The Wellness Beyond Cancer Program (wbcp) was launched in 2012, first accepting patients with colorectal cancer (crc) and, subsequently, those with breast cancer (bca), with the aim of standardizing and streamlining the discharge process from our cancer centre. Patients are discharged either to the wbcp nurse practitioner or to their primary care provider (pcp). The program incorporates survivorship care plans (scps) and education classes; it also has a rapid re-entry system in case of recurrence. The objective of this paper is to describe the process by which a cancer survivorship program was developed at our institution and to present preliminary evaluation results. METHODS: Qualitative surveys were mailed to patients and pcps 1 year after patients had been referred to the wbcp. The surveys addressed knowledge of the program content, satisfaction on the part of patients and providers, and whether scp recommendations were followed. Questions were scored on the level of agreement with each of a list of statements (1 = strongly disagree to 5 = strongly agree). RESULTS: From March 2012 to November 2014, 2630 patients were referred to the wbcp (809 with crc, 1821 with bca). Surveys were received from 289 patients and 412 pcps. Patients and pcps gave similar scores (average: 4) to statements about satisfaction; pcps gave scores below 4 to statements about communication with the wbcp. CONCLUSIONS: At 1 year after discharge, patients and pcps were satisfied with program content, but there is an opportunity to improve on communication and provision of cancer-specific information to the pcps. Using the wbcp to ensure a safe transition to the most appropriate health care provider, we have standardized the discharge process for crc and bca patients.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.127
GPT teacher head0.475
Teacher spread0.348 · 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

Citations93
Published2015
Admission routes3
Has abstractyes

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