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David Kendrick

Researcher at Brigham and Women's Hospital

Publications -  9
Citations -  572

David Kendrick is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Health care & Diabetes management. The author has an hindex of 5, co-authored 7 publications receiving 563 citations. Previous affiliations of David Kendrick include Partners HealthCare & Harvard University.

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Efficacy of Antiretroviral Therapy Programs in Resource-Poor Settings: A Meta-analysis of the Published Literature

TL;DR: ART treatment programs in resource-poor settings have efficacy rates similar to those reported for developed countries, and the provision of medications free of charge to the patient is associated with a significantly increased probability of virologic suppression at months 6 and 12 of ART.
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Numerical experiments with model monophyletic and paraphyletic taxa

TL;DR: Comparisons of diversity patterns and extinction rates between modeled taxa and lineages indicate that paraphyletic groups can adequately capture lineage information under a variety of conditions of diversification and mass extinction.
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Benefits of Information Technology–Enabled Diabetes Management

TL;DR: In this paper, a computer model was created to project the impact of information technology enabled disease management on care processes, clinical outcomes and medical costs for patients with type 2 diabetes over the age of 25 in the United States.
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The cost of information technology-enabled diabetes management.

TL;DR: This review focuses on 5 provider- and payer-sponsored diabetes management approaches that use information technology (IT) and provides cost estimates for each approach based on a literature review and interviews with 38 provider practices, hospitals, payers, and vendors.
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Crossing the Evidence Chasm: Building Evidence Bridges from Process Changes to Clinical Outcomes

TL;DR: In this paper, the authors proposed a method for building mathematical models based on published evidence that provides an evidence bridge between process changes and resulting clinical outcomes by combining tools from systematic review, influence diagramming, and health care simulations.