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Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study
BACKGROUND: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study. OBJECTIVE: The objective of this cross-sectional...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481220/ https://www.ncbi.nlm.nih.gov/pubmed/37606985 http://dx.doi.org/10.2196/46415 |
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author | Griggs, Stephanie Ash, Garrett I Pignatiello, Grant Papik, AnnMarie Huynh, Johnathan Leuchtag, Mary Hickman Jr, Ronald L |
author_facet | Griggs, Stephanie Ash, Garrett I Pignatiello, Grant Papik, AnnMarie Huynh, Johnathan Leuchtag, Mary Hickman Jr, Ronald L |
author_sort | Griggs, Stephanie |
collection | PubMed |
description | BACKGROUND: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study. OBJECTIVE: The objective of this cross-sectional study was to determine whether internet-based recruitment through multiple social media platforms, a clinical research platform, and cooperation with community partnerships—College Diabetes Network and Beyond Type 1—would serve as an effective way to recruit a representative sample of young adults aged 18-25 years with type 1 diabetes (T1D). METHODS: We conducted a repeated-measures descriptive study. We captured enrollment rates and participant characteristics acquired from each social media platform through survey data and Facebook analytics. This study was advertised via paid postings across a combination of different social media platforms (eg, Facebook, Instagram, Twitter, and Reddit). We used quarterly application postings, quarterly newsletters, and participation in the ResearchMatch registry to identify potentially eligible participants from February 3, 2021, to June 6, 2022. RESULTS: ResearchMatch proved to be the most cost-effective strategy overall, yielding the highest gender and racial diversity compared to other internet platforms (eg, Facebook, Instagram, Twitter, and Reddit), application postings (eg, Beyond Type 1), and newsletters (eg, College Diabetes Network and a local area college). However, we propose that the combination of these approaches yielded a larger, more diverse sample compared to any individual strategy. Our recruitment cost was US $16.69 per eligible participant, with a 1.27% conversion rate and a 30% eligibility rate. CONCLUSIONS: Recruiting young adults with T1D across multiple internet-based platforms was an effective strategy to yield a moderately diverse sample. Leveraging various recruitment strategies is necessary to produce a representative sample of young adults with T1D. As the internet becomes a larger forum for study recruitment, participants from underrepresented backgrounds may continue engaging in research through advertisements on the internet and other internet-based recruitment platforms. |
format | Online Article Text |
id | pubmed-10481220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104812202023-09-07 Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study Griggs, Stephanie Ash, Garrett I Pignatiello, Grant Papik, AnnMarie Huynh, Johnathan Leuchtag, Mary Hickman Jr, Ronald L JMIR Form Res Original Paper BACKGROUND: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study. OBJECTIVE: The objective of this cross-sectional study was to determine whether internet-based recruitment through multiple social media platforms, a clinical research platform, and cooperation with community partnerships—College Diabetes Network and Beyond Type 1—would serve as an effective way to recruit a representative sample of young adults aged 18-25 years with type 1 diabetes (T1D). METHODS: We conducted a repeated-measures descriptive study. We captured enrollment rates and participant characteristics acquired from each social media platform through survey data and Facebook analytics. This study was advertised via paid postings across a combination of different social media platforms (eg, Facebook, Instagram, Twitter, and Reddit). We used quarterly application postings, quarterly newsletters, and participation in the ResearchMatch registry to identify potentially eligible participants from February 3, 2021, to June 6, 2022. RESULTS: ResearchMatch proved to be the most cost-effective strategy overall, yielding the highest gender and racial diversity compared to other internet platforms (eg, Facebook, Instagram, Twitter, and Reddit), application postings (eg, Beyond Type 1), and newsletters (eg, College Diabetes Network and a local area college). However, we propose that the combination of these approaches yielded a larger, more diverse sample compared to any individual strategy. Our recruitment cost was US $16.69 per eligible participant, with a 1.27% conversion rate and a 30% eligibility rate. CONCLUSIONS: Recruiting young adults with T1D across multiple internet-based platforms was an effective strategy to yield a moderately diverse sample. Leveraging various recruitment strategies is necessary to produce a representative sample of young adults with T1D. As the internet becomes a larger forum for study recruitment, participants from underrepresented backgrounds may continue engaging in research through advertisements on the internet and other internet-based recruitment platforms. JMIR Publications 2023-08-22 /pmc/articles/PMC10481220/ /pubmed/37606985 http://dx.doi.org/10.2196/46415 Text en ©Stephanie Griggs, Garrett I Ash, Grant Pignatiello, AnnMarie Papik, Johnathan Huynh, Mary Leuchtag, Ronald L Hickman Jr. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.08.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Griggs, Stephanie Ash, Garrett I Pignatiello, Grant Papik, AnnMarie Huynh, Johnathan Leuchtag, Mary Hickman Jr, Ronald L Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title | Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title_full | Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title_fullStr | Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title_full_unstemmed | Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title_short | Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study |
title_sort | internet-based recruitment and retention of young adults with type 1 diabetes: cross-sectional study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481220/ https://www.ncbi.nlm.nih.gov/pubmed/37606985 http://dx.doi.org/10.2196/46415 |
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