Michael Anthony Fajardo1, Guy Balthazaar2, Alexandra Zalums2, Lyndal Trevena3, Carissa Bonner3. 1. The University of Sydney, School of Public Health, Sydney, Australia; The University of Sydney, Ask, Share, Know: Rapid Evidence for General Practice Decision (ASK-GP), Centre for Research Excellence, Discipline of General Practice, The University of Sydney, Australia. Electronic address: Michael.fajardo@sydney.edu.au. 2. The University of Sydney, School of Public Health, Sydney, Australia. 3. The University of Sydney, School of Public Health, Sydney, Australia; The University of Sydney, Ask, Share, Know: Rapid Evidence for General Practice Decision (ASK-GP), Centre for Research Excellence, Discipline of General Practice, The University of Sydney, Australia.
Abstract
OBJECTIVE: The study aim was to identify all freely available online diabetes risk calculators and to evaluate their suitability for patients with low health literacy. METHODS: Online diabetes risk calculators were identified by an environmental scan. The Patient Education Material Assessment Tool for Printable Materials was used to determine understandability and actionability scores. A high-risk profile was used to compare the risk results obtained with each calculator. RESULTS: Thirty-five risk calculators were identified; 51% had no described model, 23% reported absolute risk and 31% used visual aids. The estimated risk for the same profile ranged from low to very high. The mean understandability score was 79% (SD = 19%) and the mean actionability score was 42% (SD = 30%). CONCLUSIONS: Online diabetes risk calculators are generally understandable, but not very actionable, and may not be completely suitable for use by patients with low health literacy. The estimated risk is highly variable depending on the underlying model used for the calculation. PRACTICE IMPLICATIONS: Patients and healthcare providers need to exercise caution when selecting a diabetes risk calculator.
OBJECTIVE: The study aim was to identify all freely available online diabetes risk calculators and to evaluate their suitability for patients with low health literacy. METHODS: Online diabetes risk calculators were identified by an environmental scan. The Patient Education Material Assessment Tool for Printable Materials was used to determine understandability and actionability scores. A high-risk profile was used to compare the risk results obtained with each calculator. RESULTS: Thirty-five risk calculators were identified; 51% had no described model, 23% reported absolute risk and 31% used visual aids. The estimated risk for the same profile ranged from low to very high. The mean understandability score was 79% (SD = 19%) and the mean actionability score was 42% (SD = 30%). CONCLUSIONS: Online diabetes risk calculators are generally understandable, but not very actionable, and may not be completely suitable for use by patients with low health literacy. The estimated risk is highly variable depending on the underlying model used for the calculation. PRACTICE IMPLICATIONS: Patients and healthcare providers need to exercise caution when selecting a diabetes risk calculator.
Authors: Marguerite Clare Tracy; Heather L Shepherd; Pinika Patel; Lyndal Jane Trevena Journal: J Med Internet Res Date: 2020-05-29 Impact factor: 5.428
Authors: Carissa Bonner; Natalie Raffoul; Tanya Battaglia; Julie Anne Mitchell; Carys Batcup; Bill Stavreski Journal: J Med Internet Res Date: 2020-08-07 Impact factor: 5.428