Literature DB >> 20064056

Using an automated recruitment process to generate an unbiased study sample of multiple sclerosis patients.

Deborah M Miller1, R Fox, A Atreja, S Moore, J-C Lee, A Z Fu, A Jain, W Saupe, S Chakraborty, M Stadtler, R A Rudick.   

Abstract

The objective of this study was to test the efficiency of an automated recruitment methodology developed as a component of a practical controlled trial to assess the benefits of a Web-based personal health site to guide self-management of multiple sclerosis symptoms called Mellen Center Care On-line. We describe the study's automated recruitment methodology using clinical and administrative databases and assess the comparability between subjects who completed informed consent (IC) forms, and individuals who were invited to participate but did not reply, designated as patient nonresponders (PNR). The IC and PNR groups were compared on demographics, number of physician or advanced practice nurse/physician assistant visits during the 12 months prior to the initial invitation, and level of disability as measured by the Charlson Comorbidity Index (CCI). Out of a total dynamic potential pool of 2,421 patients, 2,041 had been invited to participate, 309 had become ineligible to participate during the study, and 71 individuals remained in the pool at the end of recruitment. The IC group had a slightly greater proportion of females. Both groups were predominantly white with comparable marital status. The groups had comparable mean household income, education level, and commercial insurance. The computed mean CCI was similar between the groups. The only significant difference was that the PNR group had fewer clinic visits in the preceding 12 months. The subjects were highly representative of the target population, indicating that there was little bias in our selection process despite a constantly changing pool of eligible individuals.

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Year:  2010        PMID: 20064056      PMCID: PMC2998972          DOI: 10.1089/tmj.2009.0078

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  22 in total

1.  Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy.

Authors:  Sean R Tunis; Daniel B Stryer; Carolyn M Clancy
Journal:  JAMA       Date:  2003-09-24       Impact factor: 56.272

2.  A need for greater reporting of socioeconomic status and race in clinical trials.

Authors:  S J Lee; A Kavanaugh
Journal:  Ann Rheum Dis       Date:  2004-12       Impact factor: 19.103

3.  The sickness impact profile: validation of a health status measure.

Authors:  M Bergner; R A Bobbitt; W E Pollard; D P Martin; B S Gilson
Journal:  Med Care       Date:  1976-01       Impact factor: 2.983

4.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

5.  Development and validation of the Patient Assessment of Chronic Illness Care (PACIC).

Authors:  Russell E Glasgow; Edward H Wagner; Judith Schaefer; Lisa D Mahoney; Robert J Reid; Sarah M Greene
Journal:  Med Care       Date:  2005-05       Impact factor: 2.983

6.  Inclusion of women and minorities in clinical trials and the NIH Revitalization Act of 1993--the perspective of NIH clinical trialists.

Authors:  L S Freedman; R Simon; M A Foulkes; L Friedman; N L Geller; D J Gordon; R Mowery
Journal:  Control Clin Trials       Date:  1995-10

7.  Using a population-based cancer registry for recruitment of newly diagnosed patients with ovarian cancer.

Authors:  M Robyn Andersen; Tom Schroeder; Marcia Gaul; Carol Moinpour; Nicole Urban
Journal:  Am J Clin Oncol       Date:  2005-02       Impact factor: 2.339

8.  General neurologist and subspecialist care for multiple sclerosis: patients' perceptions.

Authors:  B G Vickrey; Z V Edmonds; D Shatin; M F Shapiro; S Delrahim; T R Belin; G W Ellison; L W Myers
Journal:  Neurology       Date:  1999-10-12       Impact factor: 9.910

9.  Research in home-care telemedicine: challenges in patient recruitment.

Authors:  Usha Subramanian; Faith Hopp; Julie Lowery; Peter Woodbridge; David Smith
Journal:  Telemed J E Health       Date:  2004       Impact factor: 3.536

10.  Determinants of personal health record use: a large population study at Cleveland Clinic.

Authors:  Holly Miller; Betty Vandenbosch; Danail Ivanov; Penny Black
Journal:  J Healthc Inf Manag       Date:  2007
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  2 in total

1.  Web-based self-management for patients with multiple sclerosis: a practical, randomized trial.

Authors:  Deborah M Miller; Shirley M Moore; Robert J Fox; Ashish Atreja; Alex Z Fu; Jar-Chi Lee; Welf Saupe; Maria Stadtler; Swati Chakraborty; C M Harris; Richard A Rudick
Journal:  Telemed J E Health       Date:  2011-01-09       Impact factor: 3.536

Review 2.  Employing computers for the recruitment into clinical trials: a comprehensive systematic review.

Authors:  Felix Köpcke; Hans-Ulrich Prokosch
Journal:  J Med Internet Res       Date:  2014-07-01       Impact factor: 5.428

  2 in total

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