Impact of major depressive disorder on breast cancer outcomes: a national retrospective cohort study.

Background: Establishing whether women with major depressive disorder (MDD) who develop breast cancer (BC) have poor outcomes is key to optimizing care for this population. To address this, we examined associations between MDD and BC recurrence and mortality.

Methods: Using medical record data from the Veterans Affairs Healthcare System, we established a retrospective cohort of women with local or regional stage invasive BC between 2010 and 2019 and followed through 2022.

Unemployment, Homelessness, and Other Societal Outcomes Among US Veterans With Schizophrenia Relapse: A Retrospective Cohort Study.

To evaluate societal outcomes including unemployment and homelessness among US veterans with schizophrenia with a history of relapse. A retrospective cohort study was conducted using US Veterans Health Administration (VHA) data from January 1, 2013, to September 30, 2019. Veterans with ≥ 2 diagnoses of schizophrenia, schizotypal disorder, and/or schizoaffective disorders ( 295.

Unemployment, homelessness, and other societal outcomes in patients with schizophrenia: a real-world retrospective cohort study of the United States Veterans Health Administration database : Societal burden of schizophrenia among US veterans.

Background: The burden associated with schizophrenia is substantial. Impacts on the individual, healthcare system, and society may be particularly striking within the veteran population due to the presence of physical and mental health comorbidities. Disease burden is also influenced by a complex interplay between social determinants of health and health disparities.

Characteristics and current standard of care among veterans with major depressive disorder in the United States: A real-world data analysis.

Background: This study examined MDD treatment regimens received during the first observed and treated major depressive episode (MDE) among US veterans.

Methods: This retrospective study, conducted using the Veterans Health Administration (VHA) database, supplemented with Medicare Part A/B/D data, included adults with ≥1 MDD diagnosis (index date) between 10/1/2015-2/28/2017 and ≥1 line of therapy (LOT) within the first observed complete MDE. Patient baseline (6-month pre-index) characteristics and up to six LOTs received during the first observed and treated MDE were assessed.

Predictors of Incident Severe Acute Respiratory Syndrome Coronavirus 2 Positivity in a Veteran Population.

Objectives: We explored factors related to testing positive for severe acute respiratory coronavirus 2 (SARS-CoV-2) to identify populations most at risk for this airborne pathogen.

Methods: Data were abstracted from the medical record database of the U.S.

Development and Validation of a Clinical Risk Score to Predict Hospitalization Within 30 Days of Coronavirus Disease 2019 Diagnosis.

Introduction: Early identification of patients with coronavirus disease 2019 (COVID-19) who are at risk for hospitalization may help to mitigate disease burden by allowing healthcare systems to conduct sufficient resource and logistical planning in the event of case surges. We sought to develop and validate a clinical risk score that uses readily accessible information at testing to predict individualized 30-day hospitalization risk following COVID-19 diagnosis.

Methods: We assembled a retrospective cohort of U.

Trends in COVID-19 cases and clinical management in Veterans Health Administration medical facilities: A national cohort study.

Objective: We explored longitudinal trends in sociodemographic characteristics, reported symptoms, laboratory findings, pharmacological and non-pharmacological treatment, comorbidities, and 30-day in-hospital mortality among hospitalized patients with coronavirus disease 2019 (COVID-19).

Methods: This retrospective cohort study included patients diagnosed with COVID-19 in the United States Veterans Health Administration between 03/01/20 and 08/31/20 and followed until 09/30/20. We focused our analysis on patients that were subsequently hospitalized, and categorized them into groups based on the month of hospitalization.

Teaching Root Cause Analysis Using Simulation: Curriculum and Outcomes.

Background: Clinicians are key drivers for improving health care quality and safety. However, some may lack experience in quality improvement and patient safety (QI/PS) methodologies, including root cause analysis (RCA).

Objective: The Department of Veterans Affairs (VA) sought to develop a simulation approach to teach clinicians from the VA's Chief Resident in Quality and Safety program about RCA.

Career Impact of the Chief Resident in Quality and Safety Training Program: An Alumni Evaluation.

Purpose: Most evaluations of quality improvement and patient safety (QI/PS) training programs provide inadequate data on their impact on alumni careers and QI/PS involvement. To address this gap, the authors investigated continued participation in and barriers to QI/PS work, employment, and satisfaction with training among alumni of the Department of Veterans Affairs (VA) Chief Resident in Quality and Safety (CRQS) program.

Method: A cross-sectional, web-based survey was administered in January 2018 to all 238 CRQS program alumni (program years 2009-2017, 54 program sites).

US-based cross-sectional survey of clinicians' knowledge and attitudes about shared decision-making across healthcare professions and specialties.

Objective: In this study, we aim to compare shared decision-making (SDM) knowledge and attitudes between US-based physician assistants (PAs), nurse practitioners (NPs) and physicians across surgical and family medicine specialties.

Setting: We administered a cross-sectional, web-based survey between 20 September 2017 and 1 November 2017.

Participants: 272 US-based NPs, PA and physicians completed the survey.

Root Cause Analysis of Oncology Adverse Events in the Veterans Health Administration.

Purpose: Oncology providers are leaders in patient safety. Despite their efforts, oncology-related medical errors still occur, sometimes resulting in patient injury or death. The Veterans Health Administration (VHA) National Center of Patient Safety used data obtained from root cause analysis (RCA) to determine how and why these adverse events occurred in the VHA, and how to prevent future reoccurrence.