Work

Regression discontinuity in Time: Evaluating the impact of evolving digital health interventions

Year: 2025

Type: article

Study design: Observational Study

Source: International Journal of Medical Informatics

DOI: 10.1016/j.ijmedinf.2025.106050

Authors: Isha Thapa, Pierre-Amaury Laforcade, Franziska K. Bishop, Johannes Ferstad, Manisha Desai, David M. Maahs, Priya Prahalad, Dessi P. Zaharieva, David Scheinker, Ramesh Johari

Institutions: Stanford University, Stanford Medicine, Lucile Packard Children's Hospital, Stanford Diabetes Research Center

Language: English

Topic: Diabetes Management and Research

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, National Science Foundation, Leona M. and Harry B. Helmsley Charitable Trust, Stanford Diabetes Research Center, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Research Resources, National Center for Advancing Translational Sciences, Stanford Maternal and Child Health Research Institute

Awards: Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D: 4T Study, Stanford Center for Clinical & Translational Education and Research (Spectrum), SCH: Improving Patient Health and Equity through the Digital Transformation of Diabetes Care Delivery, G7820347943

OpenAlex ID: W4412479291

FWCI: 1.346

Cites: 28

Cited by: 2

Related to: 10