Effects of a Behavioral Health Carve-Out on Inpatient-Related Quality Indicators for Major Depression Treatment

Medical Care ◽  
1999 ◽  
Vol 37 (10) ◽  
pp. 1023-1033 ◽  
Author(s):  
Elizabeth Levy Merrick
Keyword(s):  
Major Depression ◽  
Behavioral Health ◽  
Quality Indicators ◽  
Depression Treatment ◽  
Related Quality

Abstract 16535: Mental and Behavioral Health Disorders Among Patients With Acute Myocardial Infarction in the United States

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Jayakumar Sreenivasan ◽  
Mohammad S Khan ◽  
Safi U Khan ◽  
Wilbert S Aronow ◽  
Julio A Panza ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Bipolar Disorder ◽  
Major Depression ◽  
Anxiety Disorders ◽  
Behavioral Health ◽  
Psychotic Disorders ◽  
Hospital Outcomes ◽  
Behavioral Health Disorders ◽  
Acute Mi ◽  
Health Disorders

Background: Mental and behavioral health disorders (MBD) are associated with an increased risk of cardiovascular disease and with worse long-term outcomes after myocardial infarction (MI). Hypothesis: We hypothesized the prevalence of MBD among patients with acute MI is rising over time. Methods: Using National Inpatient Sample Database, we assessed temporal trends in the prevalence of MBD and in-hospital outcomes among patients hospitalized for acute MI in the US from 2008-2017. We used multiple logistic regression for in-hospital outcomes and examined yearly trends and estimated annual percent change (APC) in odds of MBD among MI patients. Results: We included a total of 6,117,804 patients with MI (ST elevation MI 30.4%) with a mean age of 67.2±0.04 and 39% females. Psychoactive substance use disorder (PSD) (24.9%) was the most common behavioral health disorder, and major depression (6.2%) and anxiety disorders (6.0%) were the most common mental health disorders, followed by bipolar disorder (0.9%), schizophrenia/psychotic disorders (0.8%) and post-traumatic stress disorder (PTSD) (0.3%). Between 2008 to 2018, the prevalence of PSD (23.7-25.0%, APC +0.6%), major depression (4.7-7.4%, APC +6.2%), anxiety disorders (3.2-8.9%, APC +13.5%), PTSD (0.2-0.6%, +12.5%) and bipolar disorder (0.7-1.0%, APC +4.0%) significantly increased over the time period. Major depression, bipolar disorder or schizophrenia/psychotic disorders were associated with a lower likelihood of coronary revascularization, although a co-diagnosis of MBD was associated with a lower risk of in-hospital mortality. Conclusion: MBD are common among patients with acute MI and there was a concerning increase in the prevalence of PSD, major depression, bipolar disorder, anxiety disorders and PTSD. Focused mental and behavioral health interventions and health care policy changes are warranted to address the increasing burden of comorbid MBD among acute MI.

Predictors of Recovery From Major Depression Among Geriatric Psychiatry Inpatients: The Importance of Caregivers' Beliefs

1999 ◽  
Vol 11 (2) ◽  
pp. 149-157 ◽  
Author(s):  
Robin J. Casten ◽  
Barry W. Rovner ◽  
Yochi Shmuely-Dulitzki ◽  
Rona E. Pasternak ◽  
Rodney Pelchat ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Major Depression ◽  
Multivariate Analyses ◽  
Geriatric Psychiatry ◽  
Depression Treatment ◽  
Electroconvulsive Treatment ◽  
Caregiver Support ◽  
Important Relationship ◽  
Dsm Iv ◽  
Course Of Depression

Caregiver support is an important factor in recovery from depression among older patients. We examined whether caregivers' perceptions regarding patients' ability to control depressive symptoms were related to depression recovery. Depression treatment, demographics, number of depressive symptoms, and health were controlled. The sample comprised 51 geriatric psychiatry inpatients who met DSM-IV criteria for major depression and who had a primary caregiver. Depression was assessed at both admission and discharge. Caregivers were asked to indicate whether they believed their patient-relatives could control their depressive symptoms. At discharge, 33 patients (64.7%) were “remitted” and 18 (35.3%) were “nonremitted.” Multivariate analyses indicated that receiving electroconvulsive treatment, having fewer depressive symptoms caregivers perceived to be within patient control, and being female predicted depression remission at discharge. This study highlights the important relationship between family dynamics and course of depression.

scholarly journals Quality of depression treatment in Black Americans with major depression and comorbid medical illness

2014 ◽  
Vol 36 (4) ◽  
pp. 431-436 ◽  
Author(s):  
Amma A. Agyemang ◽  
Briana Mezuk ◽  
Paul Perrin ◽  
Bruce Rybarczyk
Keyword(s):  
Major Depression ◽  
Black Americans ◽  
Depression Treatment ◽  
Medical Illness

scholarly journals Major depression, depression treatment and quality of primary medical care

2008 ◽  
Vol 30 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Benjamin G. Druss ◽  
Kimberly Rask ◽  
Wayne J. Katon
Keyword(s):  
Major Depression ◽  
Medical Care ◽  
Depression Treatment ◽  
Primary Medical Care

Methodology for managing quality indicators of hardware products with elements of robust design

2020 ◽  
pp. 38-43
Author(s):  
K. G. Pivovarova ◽  
◽  
A. G. Korchunov ◽  
Keyword(s):  
Product Quality ◽  
Quality Indicators ◽  
Robust Design ◽  
Control Method ◽  
Efficient Production ◽  
Related Quality ◽  
Definition Of ◽  
Noise Factors ◽  
The Impact

Production of metalware is characterized with a great variety of shapes and sizes, originality of each product and a multiple-stage process. Various techniques used to process steel sections (such as cold and hot forming, machining, heat treatment, etc.) make it significantly more difficult to tackle product quality problems. Modern product quality management methodologies are based on a wide use of economical, organizational, technical and other methods. This paper describes a production-related quality control method involving certain elements of robust design. This method is based on the definition of noise factors and control parameters, as well as the conduction of noise and principal experiments. The noise experiment will help estimate the impact of disturbing factors (environmental or industrial) on product quality indicators, whereas the principal experiment will help identify the optimum production mode that can deliver the best quality and, at the same time, minimize the production losses. Robust design techniques can be effectively utilized to control the quality of metalware when developing new and optimizing the existing processes. The paper gives an example of how the quality of S10S steel bars can be controlled through the application of efficient production modes enabling to minimize quality-related costs.

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