Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and 'Small' Data

Autor: Steven M. Schwartz, Kevin Wildenhaus, Amy Bucher, Brigid Byrd

Publikováno v: Frontiers in Computer Science, Vol 2 (2020)

The technology currently available for quantifying various biometric, behavioral, emotional, cognitive, and psychological aspects of daily life has become increasingly diverse, accurate, and accessible as a result of ongoing and continuous improvemen

Externí odkaz: https://doaj.org/article/6b6c819e99dd443298ea98346fab4e5d

Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4–10 of pregnancy

Autor: Marsha A. Wilcox, Kevin Wildenhaus, Marie Leonte, Lauren LaCross, Jenna Reps, Beth Ann McGee

Publikováno v: BMC Pregnancy and Childbirth. 22

Background Perinatal depression is estimated to affect ~ 12% of pregnancies and is linked to numerous negative outcomes. There is currently no model to predict perinatal depression at multiple time-points during and after pregnancy using variables as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8708492aa37cc8df84beb71938e1208c
https://doi.org/10.1186/s12884-022-04741-9

Leveraging Digital Technology in Conducting Longitudinal Research on Mental Health in Pregnancy: Longitudinal Panel Survey Study (Preprint)

Autor: Beth McGee, Marie Leonte, Kevin Wildenhaus, Marsha Wilcox, Jenna Reps, Lauren LaCross

BACKGROUND Collecting longitudinal data during and shortly after pregnancy is difficult, as pregnant women often avoid studies with repeated surveys. In contrast, pregnant women interact with certain websites at multiple stages throughout pregnancy a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d48dd03a0b9eb4cb17404ded89289fe
https://doi.org/10.2196/preprints.16280

Clinical phenotypes of perinatal depression and time of symptom onset: analysis of data from an international consortium

Autor: Samantha Meltzer-Brody, Pedro E. Martinez, Anne Buist, David R. Rubinow, Jeffrey Newport, Veerle Bergink, Trine Munk-Olsen, Katherine M. Sharkey, Emma Robertson-Blackmore, Marsha A. Wilcox, Peter Schmidt, Margaret Altemus, Arianna Di Florio, Scott Stuart, Gisèle Apter, Alexander Viktorin, Ian Jones, Zachary N. Stowe, Jennifer L. Payne, Michael W. O'Hara, Patrik K. E. Magnusson, Karen T. Putnam, Patrick F. Sullivan, Kristina M. Deligiannidis, Brenda W.J.H. Penninx, Deborah R. Kim, Katherine L. Wisner, Kevin Wildenhaus, Justin L C Bilszta, Henning Tiemeier, Emmanuel Devouche, C. Neill Epperson, Constance Guille, Sabine J. Roza, Rebecca L. Brock

Publikováno v: Putnam, K T, Wilcox, M, Robertson-Blackmore, E, Sharkey, K, Bergink, V, Munk-Olsen, T, Deligiannidis, K M, Payne, J, Altemus, M, Newport, D J, Apter, G, Devouche, E, Viktorin, A, Magnusson, P, Penninx, B P, Buist, A, Bilszta, J, O'Hara, M, Stuart, S, Brock, R, Roza, S, Tiemeier, H, Guille, C, Epperson, C N, Kim, D, Schmidt, P, Martinez-Barbera, J-P, Di Florio, A, Wisner, K L, Stowe, Z N, Jones, I, Sullivan, P F, Rubinow, D, Wildenhaus, K, Meltzer-Brody, S & Postpartum Depression: Action Towards Causes and Treatment (PACT) Consortium 2017, ' Clinical phenotypes of perinatal depression and time of symptom onset : analysis of data from an International Consortium ', The Lancet Psychiatry, vol. 4, no. 6, pp. 477-485 . https://doi.org/10.1016/S2215-0366(17)30136-0
Putnam, K T, Wilcox, M, Robertson-Blackmore, E, Sharkey, K, Bergink, V, Munk-Olsen, T, Deligiannidis, K M, Payne, J, Altemus, M, Newport, J, Apter, G, Devouche, E, Viktorin, A, Magnusson, P, Penninx, B, Buist, A, Bilszta, J, O'Hara, M, Stuart, S, Brock, R, Roza, S, Tiemeier, H, Guille, C, Epperson, C N, Kim, D, Schmidt, P, Martinez, P, Di Florio, A, Wisner, K L, Stowe, Z, Jones, I, Sullivan, P F, Rubinow, D, Wildenhaus, K & Meltzer-Brody, S 2017, ' Clinical phenotypes of perinatal depression and time of symptom onset : Analysis of data from an International Consortium ', The Lancet Psychiatry, pp. 477-485 . https://doi.org/10.1016/S2215-0366(17)30136-0
LANCET PSYCHIATRY, 4(6), 477-485. Elsevier Ltd.
The Lancet Psychiatry, 477-485. Elsevier Limited
STARTPAGE=477;ENDPAGE=485;ISSN=2215-0366;TITLE=The Lancet Psychiatry

BACKGROUND: The perinatal period is a time of high risk for onset of depressive disorders and is associated with substantial morbidity and mortality, including maternal suicide. Perinatal depression comprises a heterogeneous group of clinical subtype

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ad46d4594f0a3d1f79331a1aee1e3e

The Impact of an Online Disease Management Program on Medical Costs among Health Plan Members

Autor: Jordan Silberman, Kevin Wildenhaus, Anna Silberman, Chun Wang, Brian T. Day, Steven M. Schwartz

Publikováno v: American Journal of Health Promotion. 25:126-133

Purpose. This study evaluated the economic impact of an online disease management program within a broader population health management strategy. Design. A retrospective, quasi-experimental, cohort design evaluated program participants and a matched

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b49f645c8b7bbf5dd7e21ae10dba534
https://doi.org/10.4278/ajhp.091201-qual-377