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Record W4312939944 · doi:10.2196/39996

Enhancing Self-care Among Oral Cancer Survivors: Protocol for the Empowered Survivor Trial

2022· article· en· W4312939944 on OpenAlexvenueno aff
Sharon L. Manne, Matin Imanguli, Deborah A. Kashy, Morgan Pesanelli, Sara Frederick, Janet H. Van Cleave, Lisa E. Paddock, Shawna V. Hudson, Michael Steinberg, Patrick R. Clifford, Mara Domider, Neetu Singh

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
FundersNational Cancer Institute
KeywordsProtocol (science)Cancer survivorMedicineCancerPsychologyGerontologyPhysical therapyAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Survivors of oral cavity and oropharyngeal cancer frequently experience difficulties in swallowing; tasting; speaking; chewing; and maintaining comfortable movements of the head, neck, and shoulder. Engagement in regular self-care can reduce further loss of function and mitigate late effects. Despite the substantial self-care requirements, there are no empirically based interventions to enhance the skills and confidence of these survivors in managing their ongoing care. OBJECTIVE: The aim of this study is to describe the rationale and methodology for a randomized controlled trial evaluating Empowered Survivor (ES) versus Springboard Beyond Cancer, a general web-based program for cancer survivors, on self-efficacy in managing care, preparedness for managing survivorship, and health-related quality of life (QOL). METHODS: This study will recruit a total of 600 individuals who were diagnosed with oral cavity or oropharyngeal cancer in the past 3 years and are currently cancer free primarily from state cancer registries; these individuals will be randomly assigned to either the ES or Springboard Beyond Cancer condition. The participants complete measures of self-efficacy in managing care, preparedness for survivorship, health-related QOL, and engagement in oral self-examination and head and neck strengthening and flexibility exercises at baseline and 2 and 6 months after baseline. The primary aim of this study is to evaluate the impact of ES versus Springboard Beyond Cancer on self-efficacy, preparedness, and health-related QOL. The secondary aim is to examine the mediators and moderators of ES's impact on self-efficacy in managing care, preparedness, and health-related QOL at 6 months. The exploratory aim is to conduct a process evaluation of ES to identify potential oncology or community settings for future implementation. RESULTS: Multilevel modeling will be used to examine whether there are significant differences between the ES and Springboard Beyond Cancer interventions over time. Mediational models will evaluate the indirect effects of ES on outcomes. Quantitative analyses will evaluate the predictors of ES use, and qualitative analyses will evaluate the preferred timing and settings for the implementation of ES. CONCLUSIONS: This randomized controlled trial evaluates a completely web-based intervention, ES, versus a general web-based program for cancer survivors, Springboard Beyond Cancer, on self-efficacy in managing care, preparedness for managing survivorship, and health-related QOL and identifies the putative mediators and moderators of the intervention's effects. If an effect on the primary outcomes is illustrated, the next step could be an implementation trial to evaluate the intervention's uptake in and impact on an oncology care setting or nonprofit organizations. TRIAL REGISTRATION: ClincalTrials.gov NCT04713449; https://clinicaltrials.gov/ct2/show/NCT04713449. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39996.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.105
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.028
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0020.003
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0030.003
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.1050.015

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 head0.209
GPT teacher head0.552
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations0
Published2022
Admission routes1
Has abstractyes

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