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Evaluating patient out-of-pocket (OOP) costs associated with attendance at a prostate cancer supportive care program.

2019· article· en· W2989979018 on OpenAlexaffabout
Eugenia Wu, Lindsay Hedden, S. Bryan, Olga Arsovska, Michaela Vivar, Monita Sundar, Larry Goldenberg, Celestia S. Higano

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineAttendanceProstate cancerFamily medicineGerontologyPhysical therapyCancerInternal medicine

Abstract

fetched live from OpenAlex

108 Background: The Prostate Cancer Supportive Care (PCSC) Program at the Vancouver Prostate Centre (VPC) services address the physical and psychological needs of men and their partners from the time of PC diagnosis onwards. The study objective was to assess the level of patient out-of-pocket (OOP) expenditure associated with attending the PCSC services, which are otherwise free of charge, and determine whether OPP varies by specific clinical or sociodemographic characteristics. Methods: All men with PC seen at the VPC are invited to enroll in this study. Before or after any clinic and/or education appointment, pts completed a cost evaluation survey. Demographic data was collected from the PCSC Program registration forms and VPC electronic medical records. Results: Between 16-Apr-18 and 06-Sep-18, 207 men enrolled in the study and completed the survey. OOP expenses were highly skewed, with the majority of study participants spending less than $20 for each visit to the program, median (median $10, SD 80.0). Majority (93.6%) experienced either no or minimal financial burden, while 5.3% experienced moderate and 1.1% experienced substantial financial burden associated with their attendance at the program. Forty-four participants (22.1%) had to take time away from work to attend a PCSC service, on average this was 275 minutes, and 13.6% of them (2.9% of the total study sample) considered not participating because of difficulty getting the necessary time off. The average travel time (72.9 minutes) associated with a visit to the program was also highly skewed (median 45.0, SD 210.6). Using a simple linear regression, longer travel was associated with higher cost (t=8.30, p<0.0001), however, longer travel was unrelated to cost burden (F=0.35, p=0.79). Conclusions: OOP expenditure as well as associated burden is very minimal for the majority of participants. From a programmatic standpoint, a reasonable number of participants (22%) had to take time away from work. Bi-variate results show no relationship with personal income, OOP expenditure and financial burden.

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)0.002
metaresearch head score (Gemma)0.012
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.569
GPT teacher head0.602
Teacher spread0.033 · 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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Citations0
Published2019
Admission routes2
Has abstractyes

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