Integration of electronic pathology reporting with clinical trial matching for advanced prostate cancer.
Aged
Aged, 80 and over
Clinical Trials as Topic
/ statistics & numerical data
Electronic Health Records
/ statistics & numerical data
Ethnicity
/ statistics & numerical data
Feasibility Studies
Follow-Up Studies
Health Knowledge, Attitudes, Practice
Humans
Male
Middle Aged
Non-Randomized Controlled Trials as Topic
Pathology, Clinical
/ methods
Patient Selection
Prognosis
Prostatic Neoplasms
/ pathology
Racial Groups
/ statistics & numerical data
Cancer disparities
Clinical trials
Early case ascertainment
Electronic pathology
Prostate cancer
Journal
Urologic oncology
ISSN: 1873-2496
Titre abrégé: Urol Oncol
Pays: United States
ID NLM: 9805460
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
25
08
2020
revised:
10
12
2020
accepted:
12
12
2020
pubmed:
10
1
2021
medline:
5
1
2022
entrez:
9
1
2021
Statut:
ppublish
Résumé
Racial/ethnic diversity in prostate cancer (CaP) clinical trials (CTs) is essential to address CaP disparities. California Cancer Registry mandated electronic reporting (e-path) of structured data elements from pathologists diagnosing cancer thereby creating an opportunity to identify and approach patients rapidly. This study tested the utility of an online CT matching tool (called Trial Library) used in combination with e-path to improve matching of underrepresented CaP patients into CTs at time of diagnosis. This was a nonrandomized, single-arm feasibility study among patients with a new pathologic diagnosis of high-risk CaP (Gleason Score ≥8). Eligible patients were sent recruitment materials and enrolled patients were introduced to Trial Library. A total of 419 case listings were assessed. Patients were excluded due to physician contraindication, not meeting baseline eligibility, or unable to be reached. Final participants (N = 52) completed a baseline survey. Among study participants, 77% were White, 10% were Black/Hispanic/Missing, and 14% were Asian. The majority of the study participants were over 65 years of age (81%) and Medicare insured (62%). Additionally, 81% of participants reported using the Internet to learn about CaP. The majority (62%) of participants reported that Trial Library increased their interest in CT participation. The current study demonstrated that leveraging structured e-path data reporting to a population-based cancer registry to recruit men with high risk CaP to clinical research is feasible and acceptable. We observed that e-path may be linked with an online CT matching tool, Trial Library. Future studies will prioritize recruitment from reporting facilities that serve more racially/ethnically diverse patient populations.
Identifiants
pubmed: 33419644
pii: S1078-1439(20)30639-6
doi: 10.1016/j.urolonc.2020.12.010
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
494.e7-494.e14Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.