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Contemp Clin Trials. 2017 Nov;62:50-55. doi: 10.1016/j.cct.2017.08.006. Epub 2017 Aug 17.

Recruitment methods for survey research: Findings from the Mid-South Clinical Data Research Network.

Author information

1
Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University, 2525 West End Ave, Nashville, TN 37232, USA; Department of Medicine, School of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN 37232, USA. Electronic address: Bill.Heerman@vanderbilt.edu.
2
Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University, 2525 West End Ave, Nashville, TN 37232, USA.
3
Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University, 2525 West End Ave, Nashville, TN 37232, USA; Department of Medicine, School of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN 37232, USA; Veterans Health Administration, Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, 1310 24th Ave S, Nashville, TN 37212, USA.
4
Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University, 2525 West End Ave, Nashville, TN 37232, USA; Department of Medicine, School of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN 37232, USA.
5
Department of Medicine, School of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN 37232, USA; Department of Biomedical Informatics, School of Medicine, Vanderbilt University Medical Center, 2525 West End Ave, Nashville, TN 37232, USA.
6
Veterans Health Administration, Tennessee Valley Healthcare System Geriatric Research Education Clinical Center (GRECC), HSR&D Center, 1310 24th Ave S, Nashville, TN 37212, USA; Meharry-Vanderbilt Alliance, 1005 Dr. D.B. Todd Jr. Blvd., Biomedical Building, Nashville, TN 37208, USA; Meharry Medical College, Department of Medicine, 1005 Dr. D.B. Todd Jr. Blvd., Biomedical Building, Nashville, TN 37208, USA.
7
Community Partners Network, Nashville, TN, USA.

Abstract

PURPOSE:

The objective of this study was to report survey response rates and demographic characteristics of eight recruitment approaches to determine acceptability and effectiveness of large-scale patient recruitment among various populations.

METHODS:

We conducted a cross sectional analysis of survey data from two large cohorts. Patients were recruited from the Mid-South Clinical Data Research Network using clinic-based recruitment, research registries, and mail, phone, and email approaches. Response rates are reported as patients who consented for the survey divided by the number of eligible patients approached.

RESULTS:

We contacted more than 90,000 patients and 13,197 patients completed surveys. Median age was 56.3years (IQR 40.9, 67.4). Racial/ethnic distribution was 84.1% White, non-Hispanic; 9.9% Black, non-Hispanic; 1.8% Hispanic; and 4.0% other, non-Hispanic. Face-to-face recruitment had the highest response rate of 94.3%, followed by participants who "opted-in" to a registry (76%). The lowest response rate was for unsolicited emails from the clinic (6.1%). Face-to-face recruitment enrolled a higher percentage of participants who self-identified as Black, non-Hispanic compared to other approaches (18.6% face-to-face vs. 8.4% for email).

CONCLUSIONS:

Technology-enabled recruitment approaches such as registries and emails are effective for recruiting but may yield less racial/ethnic diversity compared to traditional, more time-intensive approaches.

KEYWORDS:

Information storage and retrieval; Patient selection; Response rates; Surveys and Questionnaires

PMID:
28823925
DOI:
10.1016/j.cct.2017.08.006
[Indexed for MEDLINE]

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