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Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
Annual influenza vaccination is recommended for people with diabetes, but vaccination rates are suboptimal. This Evidation study aimed to increase influenza vaccination rate in people with self-reported diabetes.
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
It takes a village: Development of digital measures for computer scientists
It takes a village: Development of digital measures for computer scientists
Goldsack J.C and Clay I
It takes a village: Development of digital measures for computer scientists
Goldsack J.C and Clay I
It takes a village: Development of digital measures for computer scientists
Evidation research reveals a range of challenges and considerations where computer scientists can have a particular impact on the development of a new digital measure.
Goldsack J.C and Clay I
Psychosocial functioning among caregivers of childhood cancer survivors following treatment completion
Psychosocial functioning among caregivers of childhood cancer survivors following treatment completion
Quast L.F, Lewis R.W, Lee J.L, Blount R.L, and Marshak J.G
Psychosocial functioning among caregivers of childhood cancer survivors following treatment completion
Quast L.F, Lewis R.W, Lee J.L, Blount R.L, and Marshak J.G
Psychosocial functioning among caregivers of childhood cancer survivors following treatment completion
Evidation research reveals that the majority of caregivers appear to be resilient and experience limited distress during the off therapy period.
Quast L.F, Lewis R.W, Lee J.L, Blount R.L, and Marshak J.G
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Evidation research reveals that using a wearable device can reduce the burden of symptom surveys by 35%.
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Reproducibility in machine learning for health research: Still a ways to go
Reproducibility in machine learning for health research: Still a ways to go
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M
Reproducibility in machine learning for health research: Still a ways to go
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M
Reproducibility in machine learning for health research: Still a ways to go
Evidation research reveals that machine learning for health compared poorly to other areas regarding reproducibility metrics.
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Evidation research details the steps of bringing a successful proof of concept to scale, focusing on key decisions in the development of a new digital measure.
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
A novel digital approach to describe real world outcomes among patients with constipation
A novel digital approach to describe real world outcomes among patients with constipation
Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, and Lange R
A novel digital approach to describe real world outcomes among patients with constipation
Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, and Lange R
A novel digital approach to describe real world outcomes among patients with constipation
Evidation conducted the first study that utilized commercially available activity trackers to quantify the association between self-reported bowel patterns, laxative utilization, and patterns of behavior related to activity and sleep at a daily level.
Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, and Lange R
Early insights from a digitally enhanced diabetes self-management education and support program: Single-arm nonrandomized trial
Early insights from a digitally enhanced diabetes self-management education and support program: Single-arm nonrandomized trial
Wilson-Anumudu F, Quan R, Sweet C.C., Cerrada C, Juusola J, Turken M, and Jasik C.B.
Early insights from a digitally enhanced diabetes self-management education and support program: Single-arm nonrandomized trial
Wilson-Anumudu F, Quan R, Sweet C.C., Cerrada C, Juusola J, Turken M, and Jasik C.B.
Early insights from a digitally enhanced diabetes self-management education and support program: Single-arm nonrandomized trial
Evidation research provides early evidence that a digitally enhanced DSMES program improves HbA1c and disease self-management outcomes.
Wilson-Anumudu F, Quan R, Sweet C.C., Cerrada C, Juusola J, Turken M, and Jasik C.B.
Characterizing COVID-19 and influenza illnesses in the real world via person-generated health data
Characterizing COVID-19 and influenza illnesses in the real world via person-generated health data
Shapiro A, Marinsek N, Clay I, Bradshaw B, Ramirez E, Min J, Trister A, Wang Y, Althoff A, and Foschini L
Characterizing COVID-19 and influenza illnesses in the real world via person-generated health data
Shapiro A, Marinsek N, Clay I, Bradshaw B, Ramirez E, Min J, Trister A, Wang Y, Althoff A, and Foschini L
Characterizing COVID-19 and influenza illnesses in the real world via person-generated health data
Evidation research reveals that COVID-19 symptoms tend to peak later and last longer than flu symptoms.
Shapiro A, Marinsek N, Clay I, Bradshaw B, Ramirez E, Min J, Trister A, Wang Y, Althoff A, and Foschini L
The burden of influenza on the US older population: A real-world health outcomes study
The burden of influenza on the US older population: A real-world health outcomes study
The burden of influenza on the US older population: A real-world health outcomes study
The burden of influenza on the US older population: A real-world health outcomes study
Evidation research reveals that health services usage, respiratory illnesses, and non-respiratory conditions among older adults increased in the period after influenza diagnosis.
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