Literature DB >> 34101786

Mail and Telephone Outreach from Electronic Health Records for Research Participation on Cognitive Health and Aging.

K Pun1, C W Zhu, M T Kinsella, M Sewell, H Grossman, J Neugroschl, C Li, A Ardolino, N Velasco, M Sano.   

Abstract

OBJECTIVES: This report describes the efficacy and utility of recruiting older individuals by mail to participate in research on cognitive health and aging using Electronic Health Records (EHR).
METHODS: Individuals age 65 or older identified by EHR in the Mount Sinai Health System as likely to have Mild Cognitive Impairment (MCI) were sent a general recruitment letter (N=12,951). A comparison group of individuals with comparable age and matched for gender also received the letter (N=3,001).
RESULTS: Of the 15,952 individuals who received the mailing, 953 (6.0%) responded. 215 (1.3%) declined further contact. Overall rate of expression of interest was 4.6%. Of the 738 individuals who responded positively to further contact, 321 indicated preference for further contact by telephone. Follow-up of these individuals yielded 30 enrollments (0.2% of 15,952). No differences in response rate were noted between MCI and comparison groups, but the comparison group yielded higher enrollment. 6 individuals who were not the intended recipients of mailing but nevertheless contacted our study were also enrolled.
CONCLUSIONS: Mailings to individuals identified through a trusted source, such as a medical center from which they have received clinical care, may be a viable means of reaching individuals within this age group as this effort yielded a low rejection rate. However, EHR information did not enhance study enrollment. Implications for improving recruitment are discussed.

Entities:  

Keywords:  Recruitment methods; cognitive health; electronic health records; mild cognitive impairment

Mesh:

Year:  2021        PMID: 34101786      PMCID: PMC8790221          DOI: 10.14283/jpad.2021.18

Source DB:  PubMed          Journal:  J Prev Alzheimers Dis        ISSN: 2274-5807


  31 in total

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Authors:  Grazia Dell'Agnello; Urvi Desai; Noam Y Kirson; Jody Wen; Mark K Meiselbach; Catherine C Reed; Mark Belger; Alan Lenox-Smith; Carlos Martinez; Jill Rasmussen
Journal:  BMJ Open       Date:  2018-03-22       Impact factor: 2.692

9.  Identifying dementia cases with routinely collected health data: A systematic review.

Authors:  Tim Wilkinson; Amanda Ly; Christian Schnier; Kristiina Rannikmäe; Kathryn Bush; Carol Brayne; Terence J Quinn; Cathie L M Sudlow
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10.  Predicting Diagnosis of Alzheimer's Disease and Related Dementias Using Administrative Claims.

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