Original Article

Annals of Behavioral Medicine

, Volume 40, Issue 1, pp 40-48

Recruitment for an Internet-Based Diabetes Self-Management Program: Scientific and Ethical Implications

  • Russell E. GlasgowAffiliated withInstitute for Health Research, Kaiser Permanente Colorado Email author 
  • , Lisa A. StryckerAffiliated withOregon Research Institute
  • , Deanna KurzAffiliated withInstitute for Health Research, Kaiser Permanente Colorado
  • , Andrew FaberAffiliated withInstitute for Health Research, Kaiser Permanente Colorado
  • , Hillary BellAffiliated withInstitute for Health Research, Kaiser Permanente Colorado
  • , Jennifer M. DickmanAffiliated withInstitute for Health Research, Kaiser Permanente Colorado
  • , Eve HaltermanAffiliated withInstitute for Health Research, Kaiser Permanente Colorado
  • , Paul A. EstabrooksAffiliated withVirginia Tech Riverside
  • , Diego OsunaAffiliated withInstitute for Health Research, Kaiser Permanente Colorado

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Abstract

Background

Little is known about the reach of Internet self-management interventions.

Purpose

The aim of this study was to evaluate different definitions of participation rate and compare characteristics among subcategories of participants and nonparticipants on demographic and clinical factors using de-identified electronic medical record data.

Methods

Data are presented on recruitment results and characteristics of 2,603 health maintenance organization members having type 2 diabetes invited to participate in an Internet self-management program.

Results

There was a 37% participation rate among all members attempted to contact and presumed eligible. There were several significant differences between participants and nonparticipants and among subgroups of participants (e.g., proactive volunteers vs. telephone respondents) on factors including age, income, ethnicity, smoking rate, education, blood pressure, and hemoglobin A1c.

Conclusion

These results have important implications for the impact of different recruitment methods on health disparities and generalization of results. We provide recommendations for reporting of eligibility rate, participation rate, and representativeness analyses.

Keywords

Recruitment Participation Clinical trials Representativeness Research methods