Sara Heverly-Fitt, PhD

Predicting Incident Treatment-Resistant Depression: A Model Designed for Health Care Systems

Background: Treatment resistant depression (TRD) is burdensome to health systems. Earlier identification of at-risk patients may reduce clinical inertia and improve outcomes.

Jacqueline Pesa , PhD, MPH;

Charles Ruetsch , PhD;

Joshua Liberman , PhD;

Tigwa Davis , PhD;

Sara Heverly-Fitt , PhD;

John Verbanac , PhD;

Wing Chow , PharmD, MPH;

11/22/2019

Descriptive Patterns Emerging From Initial Antidepressant Treatment Episodes in Patients with Treatment-Resistant Depression

Background: TRD leads to excess healthcare costs and burden of illness. Early patterns of antidepressant use may signify patients at high-risk for TRD. Methods: Eligible patients with ma...

John Verbanac , PhD;

Wing Chow , PharmD, MPH;

Jacqueline Pesa , PhD, MPH;

Charles Ruetsch , PhD;

Joshua Liberman , PhD;

Tigwa Davis , PhD;

Sara Heverly-Fitt , PhD;

11/22/2019

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Implementing ERAS Protocols Throughout Patient Peri-Op Journey: Reductions in Complications

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