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Record W4321186852 · doi:10.1200/op.22.00630

International Survey of Pediatric Oncologists' Beliefs and Communication Practices Regarding Symptom Self-Monitoring by Childhood Cancer Survivors

2023· article· en· W4321186852 on OpenAlexaff
Sarah N. Webster, Sheri L. Spunt, Sarah J. Cunningham, Claire E. Wakefield, Stephanie M. Smith, Nicole M. Alberts, Oxana Palesh, Laura E. Simons, Lauren C. Heathcote

Bibliographic record

VenueJCO Oncology Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsConcordia University
FundersNational Cancer Institute
KeywordsChildhood cancerMedicineFamily medicineCancerPsychologyClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Childhood cancer survivors report self-monitoring for and worrying about symptoms of disease recurrence and secondary cancers, although symptom-related worry is associated with poorer health-related quality of life. This survey captured pediatric oncologists' beliefs and communication practices regarding symptom self-monitoring for childhood cancer survivors. METHODS: Using a closed-loop snowball sampling technique, pediatric oncologists completed an online survey regarding the importance of symptom self-monitoring for off-therapy patients, the degree to which symptom self-monitoring was perceived to cause stress and worry, and communication practices. RESULTS: = 47 years) from every continent except Antarctica participated. Oncologists believed it is important for off-therapy patients to self-monitor for symptoms of cancer recurrence (90%) and treatment late effects (94%), although some noted that recurrence (30%) and late effects (55%) are typically detected by routine surveillance before symptoms appear. Oncologists varied in their beliefs that off-therapy patients do (31%) or do not (31%) worry unnecessarily about symptoms of recurrence. Two thirds (62%) of oncologists reported often/always discussing with off-therapy patients which symptoms could indicate cancer recurrence, whereas fewer than half (43%) often/always discussed which symptoms were unlikely to indicate recurrence. Oncologists identified a need for education regarding how to communicate around symptom self-monitoring and the potential utility of a screening tool to identify those who worry excessively. CONCLUSION: Despite nearly universal belief that their off-therapy patients should self-monitor for symptoms of disease recurrence and late effects, a substantial proportion of pediatric oncologists do not counsel patients on symptom self-monitoring. Since nearly one-third believe that off-therapy patients worry unnecessarily about symptoms of recurrence, improving patient education regarding which symptoms are and are not medically concerning could decrease stress and improve health-related quality of life for pediatric cancer survivors.

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)0.007
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.068
GPT teacher head0.431
Teacher spread0.362 · 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 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

Citations4
Published2023
Admission routes1
Has abstractyes

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