Publications by authors named "L Curtis"

Background: Persons with schizophrenia are excluded from psychedelic-assisted therapy due to concerns about the risk of triggering or worsening psychosis. However, there is limited meta-analytic data on the risk of psychedelic-induced psychosis in individuals with pre-existing psychotic disorders.

Methods: We conducted a systematic review, meta-analysis, and overview of reviews to assess the incidence of psychedelic-induced psychosis and symptom exacerbation in schizophrenia.

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Objectives: To help promote early detection of cognitive impairment in primary care, MyCog Mobile was designed as a cognitive screener that can be self-administered remotely on a personal smartphone. We explore the potential utility of MyCog Mobile in primary care by comparing MyCog Mobile to a commonly used screener, Mini-Cog.

Methods: A sample of 200 older adults 65+ years (mean age = 72.

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Background: Socioeconomic disadvantage is associated with greater risks of hospital readmission and mortality among patients with heart failure (HF). However, it is less clear whether socioeconomic disadvantage has an immediate and lasting impact on the risk of admissions after the diagnosis of HF.

Methods: We used electronic health record data of patients aged 65 years and older with newly diagnosed HF between January 2015 and July 2018 in the Duke University Health System, with up to 8 years of follow-up.

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The NIH Pragmatic Trials Collaboratory supports the design and conduct of 32 embedded pragmatic clinical trials, and many of these trials rely on data from the electronic health record (EHR) to monitor outcomes and/or use functionality provided by the EHR platform to deliver the intervention. Given the complexity and dynamic nature of EHR systems, study teams have encountered challenges in use of the EHR for these purposes, including challenges related to local implementation of trial interventions, rapid technology evolution, EHR updates, and transitions in EHR systems. In this article, we share case examples and lessons learned, and suggest that teams need to be aware of-and perhaps proactively investigate- possible changes to EHR systems and data that will affect the delivery of interventions and the integrity and safety of pragmatic clinical trials.

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