A Long-Term Evaluation of Facebook for Recruitment and Retention in the ENDIA Type 1 Diabetes Pregnancy-Birth Cohort Study

Author:

McGorm Kelly J.1,Brown James D.1,Thomson Rebecca L.1,Oakey Helena1,Moore Belinda2,Hendry Alexandra1,Colman Peter G.2,Craig Maria E.34,Davis Elizabeth A.5,Harris Mark6,Harrison Leonard C.7,Haynes Aveni5,Soldatos Georgia8,Vuillermin Peter9,Wentworth John M.27,Couper Jennifer J.110,Penno Megan A. S.1ORCID,

Affiliation:

1. Robinson Research Institute, Adelaide Medical School, The University of Adelaide, North Adelaide, SA, Australia

2. Department of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, VIC, Australia

3. School of Women’s and Children’s Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia

4. Institute of Endocrinology and Diabetes, The Children’s Hospital at Westmead, Sydney, NSW, Australia

5. Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, Perth, WA, Australia

6. Queensland Children’s Hospital, South Brisbane, QLD, Australia

7. Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia

8. Diabetes and Vascular Medicine Unit, Monash Health, Melbourne, VIC, Australia

9. Child Health Research Unit, Barwon Health, Geelong, VIC, Australia

10. Women’s and Children’s Hospital, Adelaide, SA, Australia

Abstract

Background: The Environmental Determinants of Islet Autoimmunity (ENDIA) study is an Australia-wide pregnancy-birth cohort study following children who have a first-degree relative with type 1 diabetes (ACTRN1261300794707). A dedicated ENDIA Facebook page was established in 2013 with the aim of enhancing recruitment and supporting participant retention through dissemination of study information. To measure the impact of Facebook, we evaluated the sources of referral to the study, cohort demographics, and withdrawal rates. We also investigated whether engagement with Facebook content was associated with specific post themes. Methods: Characteristics of Facebook versus conventional recruits were compared using linear, logistic, and multinomial logistic regression models. Logistic regression was used to determine the risk of study withdrawal. Data pertaining to 794 Facebook posts over 7.5 years were included in the analysis. Results: Facebook was the third largest source of referral (300/1511; 19.9%). Facebook recruits were more frequently Australian-born ( P < .001) enrolling postnatally ( P = .01) and withdrew from the study at a significantly lower rate compared with conventional recruits (4.7% vs 12.3%; P < .001) after a median of follow-up of 3.3 years. Facebook content featuring stories and images of participants received the highest engagement even though <20% of the 2337 Facebook followers were enrolled in the study. Conclusions: Facebook was a valuable recruitment tool for ENDIA. Compared with conventional recruits, Facebook recruits were three times less likely to withdraw during long-term follow-up and had different sociodemographic characteristics. Facebook content featuring participants was the most engaging. These findings inform social media strategies for future cohort and type 1 diabetes studies. Trial Registration: Australia New Zealand Clinical Trials Registry: ACTRN1261300794707.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

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