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Financial toxicity, symptom burden, illness perceptions, and communication confidence in cancer clinical trial participants.

2021· article· en· W3168558887 on OpenAlexaboutno aff
Subha Perni, Chukwuma Azoba, Emily Gorton, Elyse R. Park, Bruce A. Chabner, Beverly Moy, Ryan David Nipp

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMarital statusConfidence intervalClinical trialAdverse effectCancerInternal medicinePopulationEnvironmental health

Abstract

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86 Background: Cancer clinical trial (CCT) participants are at risk for experiencing adverse effects from financial toxicity, yet these remain understudied. We sought to describe associations among CCT participant-reported financial toxicity (financial burden [FB] and trial cost concerns), symptoms, illness perceptions, communication confidence, hospitalizations, and survival. Methods: From 7/2015-7/2017, we prospectively enrolled CCT participants who expressed interest in financial assistance (n = 100) and a patient group matched by age, sex, cancer type, specific trial, and trial phase (n = 98). We assessed FB (burdened by costs of cancer care), trial cost concerns (worried about affording medical costs of a CCT), physical (Edmonton Symptom Assessment Scale [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms, illness perceptions (Brief Illness Perception Questionnaire [BIPQ]), and communication confidence (Perceived Efficacy in Patient-Physician Interactions [PEPPI]). We used regression models to explore sociodemographic associations with FB and trial cost concerns, as well as their associations with symptom burden, illness perceptions, and communication confidence, adjusting for age, sex, race, performance status, marital status, and metastatic status. We also used Kaplan-Meier and regression methods to evaluate their associations with 6-month hospitalizations and survival. Results: Of 198 patients enrolled, 112 (56.6%) reported FB and 82 (41.4%) had trial cost concerns. Patients with FB were younger (OR 0.96, 95% CI 0.94-0.98) with lower incomes (< $100,000, OR 4.61, 95% CI 2.35-9.01). Patients with trial cost concerns had lower incomes (< $100,000, OR 2.78, 95% CI 1.45-5.29). On adjusted analyses, patients with FB had higher ESAS (OR 1.03, 95% CI 1.02-1.05), PHQ-4 depression (OR 1.54, 95% CI 1.22-1.94), and PHQ-4 anxiety (OR 1.30, 95% CI 1.08-1.55) scores, as well as more negative illness perceptions (OR 1.04, 95% CI 1.01-1.07), but no significant difference in communication confidence (OR 0.98, 95% CI 0.93-1.05). Patients reporting trial cost concerns had higher ESAS (OR 1.03, 95% CI 1.01-1.05), PHQ-4 depression (OR 1.35, 95% CI 1.10-1.65), and PHQ-4 anxiety (OR 1.27, 95% CI 1.07-1.51) scores, as well as more negative illness perceptions (OR 1.06, 95% CI 1.03-1.10), and lower communication confidence (OR 0.93, 95% CI 0.87-0.99). Financial toxicity was not significantly associated with hospitalizations or survival. Conclusions: In this study of CCT participants, younger patients with lower incomes were most vulnerable to financial toxicity. Financial toxicity was associated with greater symptoms, more negative illness perceptions, and lower communication confidence, underscoring the importance of addressing these issues when seeking to alleviate the adverse effects of financial toxicity in CCT participants.

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)0.007
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.273
GPT teacher head0.480
Teacher spread0.207 · 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 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".

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Citations4
Published2021
Admission routes1
Has abstractyes

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