Thomas Rouyard1,2, José Leal1, Dario Salvi3,4, Richard Baskerville5, Carmelo Velardo3, Alastair Gray1. 1. Nuffield Department of Population Health, Health Economics Research Centre, University of Oxford, Oxford, UK. 2. Research Center for Health Policy and Economics, Hitotsubashi University, Tokyo, Japan. 3. Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK. 4. School of Arts, Culture and Communication, Malmö University, Malmö, Sweden. 5. Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Abstract
INTRODUCTION: This technology report introduces an innovative risk communication tool developed to support providers in communicating diabetes-related risks more intuitively to people with type 2 diabetes mellitus (T2DM). METHODS: The development process involved three main steps: (1) selecting the content and format of the risk message; (2) developing a digital interface; and (3) assessing the usability and usefulness of the tool with clinicians through validated questionnaires. RESULTS: The tool calculates personalized risk information based on a validated simulation model (United Kingdom Prospective Diabetes Study Outcomes Model 2) and delivers it using more intuitive risk formats, such as "effective heart age" to convey cardiovascular risks. Clinicians reported high scores for the usability and usefulness of the tool, making its adoption in routine care promising. CONCLUSIONS: Despite increased use of risk calculators in clinical care, this is the first time that such a tool has been developed in the diabetes area. Further studies are needed to confirm the benefits of using this tool on behavioral and health outcomes in T2DM populations.
INTRODUCTION: This technology report introduces an innovative risk communication tool developed to support providers in communicating diabetes-related risks more intuitively to people with type 2 diabetes mellitus (T2DM). METHODS: The development process involved three main steps: (1) selecting the content and format of the risk message; (2) developing a digital interface; and (3) assessing the usability and usefulness of the tool with clinicians through validated questionnaires. RESULTS: The tool calculates personalized risk information based on a validated simulation model (United Kingdom Prospective Diabetes Study Outcomes Model 2) and delivers it using more intuitive risk formats, such as "effective heart age" to convey cardiovascular risks. Clinicians reported high scores for the usability and usefulness of the tool, making its adoption in routine care promising. CONCLUSIONS: Despite increased use of risk calculators in clinical care, this is the first time that such a tool has been developed in the diabetes area. Further studies are needed to confirm the benefits of using this tool on behavioral and health outcomes in T2DM populations.
Authors: Kunal N Karmali; Stephen D Persell; Pablo Perel; Donald M Lloyd-Jones; Mark A Berendsen; Mark D Huffman Journal: Cochrane Database Syst Rev Date: 2017-03-14
Authors: Linda C Li; Paul M Adam; Anne F Townsend; Diane Lacaille; Charlene Yousefi; Dawn Stacey; Diane Gromala; Chris D Shaw; Peter Tugwell; Catherine L Backman Journal: BMC Med Inform Decis Mak Date: 2013-12-01 Impact factor: 2.796