Background: Despite being at high risk for depression, patients with childhood-onset systemic lupus erythematosus (c-SLE) are infrequently and inconsistently screened for depression by their pediatric rheumatologists. We aimed to systematically increase rates of formal depression screening for c-SLE patients in an academic Pediatric Rheumatology clinic.
Methods: Our multi-disciplinary quality improvement (QI) team used electronic health record (EHR) documentation to retroactively calculate baseline rates of documented depression screening using the Patient Health Questionnaire-9 (PHQ-9). We then engaged key stakeholders to develop a clinical workflow for formal depression screening in the clinic. We also provided education to providers regarding mental health disorders in c-SLE, with an emphasis on prevalence, screening methods, and management of positive screens. We then used the Plan-Do-Study Act (PDSA) method of QI to systematically evaluate and adjust our process in real time. The primary outcome was the percentage of patients with c-SLE seen per month who had a documented PHQ-9 screening within the past year.
Results: The percentage of children with documented PHQ-9 results ranged from 0 to 4.5 % at baseline to 91.0 % within 12 months of project initiation. By the end of the project, monthly screening rates greater than 80 % has been sustained for 10 months. As a result of these efforts, twenty-seven (48.2 %) patients with at least mild depressive symptoms were identified while seven (12.5 %) with thoughts of self-harm were referred to appropriate mental health resources.
Conclusions: Routine formal depression screening is feasible in a busy subspecialty clinic. Using QI methods, rates of formal depression screening among children with c-SLE were increased from an average of 3.3 % per month to a sustained monthly rate of greater than 80 %. Individuals with depressive symptoms and/or thoughts of self-harm were identified and referred to appropriate mental health resources.
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http://dx.doi.org/10.1186/s12969-021-00576-4 | DOI Listing |
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFPerfusion
January 2025
Department of Pediatrics, Yale Medicine, Pediatric Critical Care Medicine, New Haven, CT, USA.
Extracorporeal Membrane Oxygenation (ECMO) use is associated with substantial psychiatric morbidity in patients and their families. This systematic review and meta-analysis quantifies the prevalence of post-traumatic stress disorder (PTSD), anxiety, and depression among ECMO survivors and their families. Included studies enrolled patients on ECMO or their families and reported at least one trauma-related psychopathology.
View Article and Find Full Text PDFJAMA
January 2025
Division of General Internal Medicine and Geriatrics, Indiana University School of Medicine, Indianapolis.
Importance: Care management benefits community-dwelling patients with dementia, but studies include few patients with moderate to severe dementia or from racial and ethnic minority populations, lack palliative care, and seldom reduce health care utilization.
Objective: To determine whether integrated dementia palliative care reduces dementia symptoms, caregiver depression and distress, and emergency department (ED) visits and hospitalizations compared with usual care in moderate to severe dementia.
Design, Setting, And Participants: A randomized clinical trial of community-dwelling patients with moderate to severe dementia and their caregivers enrolled from March 2019 to December 2020 from 2 sites in central Indiana (2-year follow-up completed on January 7, 2023).
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Graduate School of PLA Medical College, Chinese PLA General Hospital and PLA Medical College, 28 Fu Xing Road, Beijing, 100083, China.
Extensive researches illuminate a potential interplay between immune traits and psychiatric disorders. However, whether there is the causal relationship between the two remains an unresolved question. We conducted a two-sample bidirectional mendelian randomization by utilizing summary data of 731 immune cell traits from genome-wide association studies (GCST90001391-GCST90002121)) and 11 psychiatric disorders including attention deficit/hyperactivity disorder (ADHD), anxiety disorder, autism spectrum disorder (ASD), bipolar disorder (BIP), anorexia nervosa (AN), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), Tourette syndrome (TS), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), and substance use disorders (cannabis) (SUD) from the Psychiatric Genomics Consortium (PGC).
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February 2025
Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases-IRCAD, University of Eastern Piedmont, 28100, Novara, Italy.
Major Depressive Disorder (MDD) is a widespread psychiatric condition impacting social and occupational functioning, making it a leading cause of disability. The diagnosis of MDD remains clinical, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 criteria, as biomarkers have not yet been validated for diagnostic purposes or as predictors of treatment response. Traditional treatment strategies often follow a one-size-fits-all approach obtaining suboptimal outcomes for many patients who fail to experience response or recovery.
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