Evaluating the sustainability of a cancer screening intervention through a PRISM: The PreView experience.

Although many trials of cancer screening interventions evaluate efficacy and effectiveness, less research focuses on how to sustain interventions in non-research settings, which limit the potential reach of these interventions. Identifying the factors that influence the potential for sustainability is critical. We evaluate the factors influencing sustainability of PreView, a Cancer Screening Intervention, within the context of the Practical, Robust Implementation and Sustainability Model (PRISM).

Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.

Importance: Despite the high prevalence and potential outcomes of major depressive disorder, whether and how patients will respond to antidepressant medications is not easily predicted.

Objective: To identify the extent to which a machine learning approach, using gradient-boosted decision trees, can predict acute improvement for individual depressive symptoms with antidepressants based on pretreatment symptom scores and electroencephalographic (EEG) measures.

Design, Setting, And Participants: This prognostic study analyzed data collected as part of the International Study to Predict Optimized Treatment in Depression, a randomized, prospective open-label trial to identify clinically useful predictors and moderators of response to commonly used first-line antidepressant medications.

Impact of Medicines Helplines on patient satisfaction, patient outcomes and medicines safety for hospital patients: the development of a rating scale and an evaluation of patients' opinions.

Objective: To develop a rating scale and assess the impact of advice from Medicines Helplines on patient outcomes, medicine-related risks and patient satisfaction.

Methods: All patients who contacted two hospital pharmacy Medicines Helplines during the study were invited to complete a questionnaire about their experience of the helpline service and the outcome following the advice. A rating scale was developed and an expert panel of Medicines Information (MI) pharmacists rated the impact of the helpline advice on patient care or outcomes and risk/safety.

PreView: a Randomized Trial of a Multi-site Intervention in Diverse Primary Care to Increase Rates of Age-Appropriate Cancer Screening.

Background: Women aged 50-70 should receive breast, cervical (until age 65), and colorectal cancer (CRC) screening; men aged 50-70 should receive CRC screening and should discuss prostate cancer screening (PSA). PreView, an interactive, individually tailored Video Doctor Plus Provider Alert Intervention, adresses all cancers for which average risk 50-70-year-old individuals are due for screening or screening discussion.

Methods: We conducted a randomized controlled trial in 6 clinical sites.