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Developing Digital Therapeutics for Chronic Pain in Primary Care: A Qualitative Human-Centered Design Study of Providers’ Motivations and Challenges

Kris Pui Kwan Ma, Kari A Stephens, Rachel E Geyer, Maria G Prado, Brenda L Mollis, Susan M Zbikowski, Deanna Waters, Jo Masterson, Ying Zhang

JMIR Form Res 2023;7:e41788

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Analysis of Demographic Characteristics of Users of a Free Tobacco Cessation Smartphone App: Observational Study

Nick Fradkin, Susan M Zbikowski, Trevor Christensen

JMIR Public Health Surveill 2022;8(3):e32499

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Correction: The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

Tom L Quisel, Luca Foschini, Susan M Zbikowski, Jessie L Juusola

J Med Internet Res 2019;21(12):e17375

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The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

For each individual m we modelled the observed tracking ratio r = k / n (where k is the number of days tracked and n is the number of total days between m’s first and last day tracked) as a sample from a Binomial(n, p). To create a shrinkage estimator of m’s true tracking ratio using the Bayesian framework, we chose a Beta(α,β) distribution as our prior for m’s tracking ratio. We fixed α / (α+β) to rmean, the sample mean of tracking ratios across all individuals and fixed α+β-2 to 10.

Tom L Quisel, Luca Foschini, Susan M Zbikowski, Jessie L Juusola

J Med Internet Res 2019;21(3):e11486

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