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Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

The qualitative descriptions of the risk calculator were used to develop a framework for quantitative data extraction (risk model, risk result, and presence/absence of risk communication formats), after which an individual researcher (MF) conducted the basic

Carissa Bonner, Michael Anthony Fajardo, Samuel Hui, Renee Stubbs, Lyndal Trevena

J Med Internet Res 2018;20(2):e29

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Risk Estimates From an Online Risk Calculator Are More Believable and Recalled Better When Expressed as Integers

Risk calculators abound online.

Holly O Witteman, Brian J Zikmund-Fisher, Erika A Waters, Teresa Gavaruzzi, Angela Fagerlin

J Med Internet Res 2011;13(3):e54

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What Is My Cancer Risk? How Internet-Based Cancer Risk Assessment Tools Communicate Individualized Risk Estimates to the Public: Content Analysis

Erika A. Waters, Helen W. Sullivan, Wendy Nelson, Bradford W. Hesse

J Med Internet Res 2009;11(3):e33

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Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

I am writing regarding the systematic review about clinical validity, understandability, and actionability of online cardiovascular disease (CVD) risk calculators recently published by Dr Bonner and colleagues [1].

Ivan Sisa

J Med Internet Res 2018;20(3):e10093

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I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators

Carissa Bonner, Jesse Jansen, Ben R Newell, Les Irwig, Paul Glasziou, Jenny Doust, Haryana Dhillon, Kirsten McCaffery

J Med Internet Res 2014;16(5):e120

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Can an Internet-Based Health Risk Assessment Highlight Problems of Heart Disease Risk Factor Awareness? A Cross-Sectional Analysis

Second, it analyzes agreement of self-reported and clinically measured CHD risk factor values according to the Framingham Heart Study’s 10-year CHD risk model [17] to determine if those at higher risk of CHD have a greater understanding of their CHD risk factors

Justin B Dickerson, Catherine J McNeal, Ginger Tsai, Cathleen M Rivera, Matthew Lee Smith, Robert L Ohsfeldt, Marcia G Ory

J Med Internet Res 2014;16(4):e106

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A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study

to engage with them as to how they can reduce their risk.

Bridget Kool, Rosie Dobson, Sarah Sharpe, Gayl Humphrey, Robyn Whittaker, Shanthi Ameratunga

JMIR Form Res 2020;4(1):e13224

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The Association Between Chronic Disease and Serious COVID-19 Outcomes and Its Influence on Risk Perception: Survey Study and Database Analysis

Pedro Almeida Laires, Sónia Dias, Ana Gama, Marta Moniz, Ana R Pedro, Patricia Soares, Pedro Aguiar, Carla Nunes

JMIR Public Health Surveill 2021;7(1):e22794

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FRAT-up, a Web-based Fall-Risk Assessment Tool for Elderly People Living in the Community

to risk factors and the risk of falling, in terms of odds ratios.

Luca Cattelani, Pierpaolo Palumbo, Luca Palmerini, Stefania Bandinelli, Clemens Becker, Federico Chesani, Lorenzo Chiari

J Med Internet Res 2015;17(2):e41

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On Supplementing “Foot in the Door” Incentives for eHealth Program Engagement

Rather, it appears that “rewards simply motivated people to get rewards”, an often-cited risk of incentives for health [11].

Marc Steven Mitchell, Guy E Faulkner

J Med Internet Res 2014;16(7):e179

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