Design and Language Impact on Study Volunteerism in Medical Research: learnings from a controlled study of recruitment letters

Authors

  • Helen Sanematsu
  • Brenda Hudson
  • Amanda Nyhuis
  • Paul Dexter
  • Siu Hui

Abstract

Research on human subjects in health and medicine is a necessary part of studies ranging from taking online surveys (less invasive) to taking blood draws (more invasive). Without them, our ability to learn about and improve health is limited. However, recruitment for such studies is difficult. Patient registries aim to speed up scientific advancement by reducing the time and effort spent to recruit participants by maintaining a cadre of ready volunteers. Invitation by mail is an effective route to approach a large number of potential registry volunteers at relatively low cost. Our research question was whether the letter recipients' response (by signing up on the patient registry) to the invitation could be increased by "perking up" the letter content using 1) more motivational language, and 2) enhancing the graphic design of the invitation. We tested four models and sent them out to 10,000 recipients. Our results showed that in this application, a conventionally worded and typeset letter is more effective in recruiting altruistic volunteers than one that uses motivational language or modernist design principles. This has implications for how designers apply their skills in this context.

Author Biography

  • Helen Sanematsu
    Helen Sanematsu is an Assistant Professor of Visual Communication Design at the Herron School of Art and Design, Indiana University. Her design interests include participatory design for health services; design pedagogy; and design and ethics. She is the lead designer for the Patient Engagement Core, a five-member design and research team at the IU School of Medicine that brings patient perspectives into patient centered outcomes research (PCOR). Previously, she taught at Art Center College of Design in Pasadena. She received her AB from Occidental College in art history and her MFA from the Yale School of Art in graphic design.;Siu L. Hui is a Distinguished Scientist at the Regenstrief Institute and a Professor Emerita of Biostatistics at Indiana University. Her major projects involve issues with aging, including osteoporosis, menopause, dementia and cardiovascular disease. Research interests include statistical methods and the application of innovative techniques to address biomedical and health services research questions, particularly regarding missing and longitudinal data, statistical modeling, and measurement errors. She writes about statistical methods in medicine and has consulted for the NIH. She received her B.Sc. in Mathematics & Physics from Hong Kong University and her PhD in biometry from the Yale University.;Dr. Paul Dexter is an Associate Professor of Clinical Medicine at Indiana University and has been a research scientist at Regenstrief Institute for the last twenty years with a focus on adapting Regenstrief's information systems for both clinical and research purposes. He is the Chief Medical Information Officer (CMIO) of Eskenazi Health, as well as the Interim Chief Research Information Officer for the Indiana CTSI. He has conducted multiple trials related to computerized clinical reminder systems. He has helped implement a robust research IT infrastructure at Regenstrief Institute that includes tools related to decision support, natural language processing, and the efficient performance of identified and de-identified data queries. He received his M.D. degree from Indiana University.

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Published

2015-04-01

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Section

Journal Article