Literature DB >> 28680275

Linkage of clinical trial and administrative data: a survey of cancer patient preferences.

A E Hay1,2, Y W Leung3, J L Pater1, M C Brown4, E Bell5, D Howell4, Z Kassam4,6, S Willing7, C Tian4, G Liu4.   

Abstract

BACKGROUND: Personal health information, including diagnoses and hospital admissions, is routinely collected in administrative databases. Patients enrolling on clinical trials consent to separate collection and storage of their personal health information. We evaluated patient preferences for linking long-term data from administrative databases with clinical trials.
METHODS: Adults with cancer attending outpatient clinics at 3 Ontario hospitals were surveyed about their willingness, when faced with the hypothetical scenario of participating in a clinical trial, to provide potentially identifying information such as initials and date of birth to facilitate long-term research access to normally deidentified publicly collected databases.
RESULTS: Of 569 patients surveyed, 335 (59%) were women, 452 (79%) were white, 385 (68%) had a post-secondary education, and 386 (68%) had never participated in a clinical trial. Median age in the group was 59 years. Most participants (93%, cohort 1) would allow long-term access to their information and allow personal information to be used to match clinical trial with administrative data. At the time of clinical trial closure, two thirds of participants (68%, cohort 2) preferred to make additional clinical information available through linkage with administrative databases, and 8 (9%) preferred to have no further information made available to researchers. No significant differences were found in the subset of patients who were part of a clinical trial and those who had never participated (p = 0.65).
INTERPRETATION: Almost all patients would allow a clinical trial research team to access their confidential information, providing a more comprehensive assessment of an intervention's long-term risks and benefits.

Entities:  

Keywords:  Survey; clinical trials; consent; data linkage

Year:  2017        PMID: 28680275      PMCID: PMC5486380          DOI: 10.3747/co.24.3400

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


  9 in total

1.  An application of capture-recapture methods to the estimation of completeness of cancer registration.

Authors:  S C Robles; L D Marrett; E A Clarke; H A Risch
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

2.  The perilous state of independent randomized clinical trials and related applied research in Canada.

Authors:  Salim Yusuf; John Cairns
Journal:  CMAJ       Date:  2012-05-22       Impact factor: 8.262

3.  Benchmarking international research.

Authors:  J Adams
Journal:  Nature       Date:  1998-12-17       Impact factor: 49.962

Review 4.  Opportunities for longitudinal data linkage in Scotland.

Authors:  Gareth Hagger-Johnson
Journal:  Scott Med J       Date:  2015-04-16       Impact factor: 0.729

5.  Pharmaceutical research and development: what do we get for all that money?

Authors:  Donald W Light; Joel R Lexchin
Journal:  BMJ       Date:  2012-08-07

6.  Randomized comparison of a sirolimus-eluting Orsiro stent with a biolimus-eluting Nobori stent in patients treated with percutaneous coronary intervention: Rationale and study design of the Scandinavian Organization for Randomized Trials with Clinical Outcome VII trial.

Authors:  Lisette Okkels Jensen; Per Thayssen; Michael Maeng; Jan Ravkilde; Henrik Steen Hansen; Svend Eggert Jensen; Hans Erik Bøtker; Klára Berencsi; Jens Flensted Lassen; Evald Høj Christiansen
Journal:  Am Heart J       Date:  2015-05-22       Impact factor: 4.749

Review 7.  Long-term effects of mammography screening: updated overview of the Swedish randomised trials.

Authors:  Lennarth Nyström; Ingvar Andersson; Nils Bjurstam; Jan Frisell; Bo Nordenskjöld; Lars Erik Rutqvist
Journal:  Lancet       Date:  2002-03-16       Impact factor: 79.321

8.  The competing objectives of randomized trials.

Authors:  D L Sackett
Journal:  N Engl J Med       Date:  1980-10-30       Impact factor: 91.245

9.  The risk-stratified osteoporosis strategy evaluation study (ROSE): a randomized prospective population-based study. Design and baseline characteristics.

Authors:  Katrine Hass Rubin; Teresa Holmberg; Mette Juel Rothmann; Mikkel Høiberg; Reinhard Barkmann; Jeppe Gram; Anne Pernille Hermann; Mickael Bech; Ole Rasmussen; Claus C Glüer; Kim Brixen
Journal:  Calcif Tissue Int       Date:  2015-01-13       Impact factor: 4.333

  9 in total
  6 in total

1.  Single-arm Trials With External Comparators and Confounder Misclassification: How Adjustment Can Fail.

Authors:  Michael Webster-Clark; Michele Jonsson Funk; Til Stürmer
Journal:  Med Care       Date:  2020-12       Impact factor: 3.178

2.  A systematic literature review of health consumer attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on privacy, trust, and transparency.

Authors:  Elizabeth Hutchings; Max Loomes; Phyllis Butow; Frances M Boyle
Journal:  Syst Rev       Date:  2020-10-09

3.  Cancer Patient Perspectives on Sharing of Medical Records and Mobile Device Data for Research Purposes.

Authors:  Elizabeth F Franklin; Helen M Nichols; Linda House; Joanne Buzaglo; Kim Thiboldeaux
Journal:  J Patient Exp       Date:  2020-05-08

4.  A systematic literature review of attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on consent.

Authors:  Elizabeth Hutchings; Max Loomes; Phyllis Butow; Frances M Boyle
Journal:  Syst Rev       Date:  2021-05-04

5.  How effective are population health surveys for estimating prevalence of chronic conditions compared to anonymised clinical data?

Authors:  T Whiffen; A Akbari; T Paget; S Lowe; R Lyons
Journal:  Int J Popul Data Sci       Date:  2020-06-12

6.  A Canadian Prospective Study of Linkage of Randomized Clinical Trial to Cancer and Mortality Registry Data.

Authors:  Annette E Hay; Nicole Mittmann; Michael Crump; Matthew C Cheung; Jessica Sleeth; Judy Needham; Mike Broekhoven; Marina Djurfeldt; Lois E Shepherd; Ralph M Meyer; Bingshu E Chen; Joseph L Pater
Journal:  Curr Oncol       Date:  2021-03-08       Impact factor: 3.677

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.