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Continuous Quality Improvement (CQI) methods offer healthcare organizations valuable tools for improving services to their patients. These tools are also useful in improving the way an organization delivers its services. In this ease study, the authors describe the use of quality improvement activities for improving the enrollment and screening for breast anti cervical cancer for the Women's Health Connection (WHC). The WHC is operated by the Nevada Department of Human Resources, Health Division, to provide screening for income eligible women between the ages of 40-64. Funding for the WHC was provided by the Department of Health and Human Services' Centers for Disease Control and Prevention (CDC) through the National Breast and Cervical Cancer Early Detection Program (NBCCEDP). By using Quality Improvement Teams, the WHC was able to restructure the way women were being enrolled in the program in order to increase the number of women screened and to help the program meet CDC performance indicators. This article documents the quality improvement process used in the case study, highlights the areas improved, and demonstrates how quality improvement was useful in improving services provided to women. It also describes staff acceptance of the quality improvement process and its potential future applications. [ABSTRACT FROM AUTHOR]

The resilience of the healthcare industry, often considered recession-proof, is being tested by the COVID-19 induced reductions in physical mobility and restrictions on elective and non-emergent medical procedures. We assess early COVID-19 effects on the dynamics of decline and recovery in healthcare labor markets in the United States. Descriptive analyses with monthly cross-sectional data on unemployment rates, employment, labor market entry/exit, and weekly work hours among healthcare workers in each healthcare industry and occupation, using the Current Population Survey from July 2019-2020 were performed. We found that unemployment rates increased dramatically for all healthcare industries, with the strongest early impacts on dentists' offices (41.3%), outpatient centers (10.5%), physician offices (9.5%), and home health (7.8%). Lower paid workers such as technologists/technicians (10.5%) and healthcare aides (12.6%) were hit hardest and faced persistently high unemployment, while nurses (4%), physicians/surgeons (1.4%), and pharmacists (0.7%) were spared major disruptions. Unique economic vulnerabilities faced by low-income healthcare workers may need to be addressed to avoid serious disruptions from future events similar to COVID-19.

Objective: To examine the association between patient race/ethnicity, insurance status, and their interaction with patient safety indicators among hospitalized patients., Methods: Cross-sectional study was conducted. Data were extracted from the 2009 National Inpatient Sample. A total of 3,052,268 patient safety indicator-related discharges were identified. Dependent variables were 11 patient safety indicators (PSI) whereas independent variables included race/ethnicity and insurance status., Results: As compared with White patients, African American patients were more likely to experience pressure ulcer, post-operative hemorrhage or hematoma, and post-operative pulmonary embolism (PE) or deep vein thrombosis (DVE); Asian/Pacific Islander patients were more likely to experience pressure ulcer, post-operative PE or DVT, and two obstetric care PSIs; whereas Hispanic/Latino patients were more likely to experience post-operative physiometabolic derangement and accidental puncture/laceration. As compared with patients with private insurance, Medicaid patients were more likely to experience pressure ulcer, post-operative physiological metabolic derangement, post-operative PE or DVT, post-operative respiratory failure, post-operative wound dehiscence, and death among surgeries. However, both obstetric care PSIs showed that African Americans, Hispanics, and uninsured patients were less likely to incur them in comparison with their respective counterparts. Furthermore, strong interactive effects between African American and Medicaid on PSIs were detected., Conclusions: Although mixed findings in disparities in PSIs were observed in our study, Asian/Pacific Islander patients and Medicaid patients seem to be the most vulnerable. Further, interactive effects between African American and Medicaid indicate that poverty may be a key factor related to disparities in health care. Future research is merited to identify underlying factors that are related to PSIs among Asian/Pacific Islander patients. Strategies are needed to improve PSIs among Medicaid patients, especially during the current Medicaid program expansion due to the implementation of the Affordable Care Act.