OBJECTIVE: The aim of the study is to assess the use of a web-based tool to calculate the 5-year risk of developing type 2 diabetes mellitus, the German Diabetes Risk Score (DRS), in a real-life setting. METHODS: Recorded web server log information and user entered data (n=24,495) was analyzed. To distinguish information seeking behavior between high- and low-risk DRS records, a sub-sample was created to compare data entries of the highest and lowest risk quintile (n=5046). To learn more on the information seeking behavior of DRS users we created a dataset on the characteristics of those who calculate more than one DRS (n=11,902). RESULTS: Most users (61%) entered the DRS without a referring website. Forty percent of users did not know their waist circumference. Visit duration among high-risk DRS records was almost 1.5 min longer compared to low-risk DRS records (p-value<0.001). Those who calculated multiple DRS were associated with a higher first DRS and male gender. CONCLUSION: Understanding users' website utilization is an important step to evaluate risk calculator websites. PRACTICE IMPLICATIONS: A range of media should be used conjointly to raise type 2 diabetes mellitus risk awareness. Risk websites should be linked to patient information pages.
OBJECTIVE: The aim of the study is to assess the use of a web-based tool to calculate the 5-year risk of developing type 2 diabetes mellitus, the German Diabetes Risk Score (DRS), in a real-life setting. METHODS: Recorded web server log information and user entered data (n=24,495) was analyzed. To distinguish information seeking behavior between high- and low-risk DRS records, a sub-sample was created to compare data entries of the highest and lowest risk quintile (n=5046). To learn more on the information seeking behavior of DRS users we created a dataset on the characteristics of those who calculate more than one DRS (n=11,902). RESULTS: Most users (61%) entered the DRS without a referring website. Forty percent of users did not know their waist circumference. Visit duration among high-risk DRS records was almost 1.5 min longer compared to low-risk DRS records (p-value<0.001). Those who calculated multiple DRS were associated with a higher first DRS and male gender. CONCLUSION: Understanding users' website utilization is an important step to evaluate risk calculator websites. PRACTICE IMPLICATIONS: A range of media should be used conjointly to raise type 2 diabetes mellitus risk awareness. Risk websites should be linked to patient information pages.
Authors: Laura D Scherer; Peter A Ubel; Jennifer McClure; Sarah M Greene; Sharon Hensley Alford; Lisa Holtzman; Nicole Exe; Angela Fagerlin Journal: Patient Educ Couns Date: 2013-04-24
Authors: Holly O Witteman; Brian J Zikmund-Fisher; Erika A Waters; Teresa Gavaruzzi; Angela Fagerlin Journal: J Med Internet Res Date: 2011-09-07 Impact factor: 5.428