Examining the relationship between long working hours and the use of prescription sedatives among U.S. workers.

OBJECTIVES: The prevalence of long working hours has been accompanied by a corresponding rise in sleep disorders. Sedative-hypnotic agents (SHAs), have been reported as the second most commonly misused drug class in the U.S. The key objective of this study was to examine the relationship between working hours on the use of sleep aids and medications with sedative properties. METHODS: The 2010-2019 Medical Expenditure Panel Survey data was utilized. SHAs and medications with sedative related properties (MSRPs) were identified. Furthermore, we employed different regression models ranging from multivariable linear regression, Tobit regression, Heckman regression, and multivariable logistic regression, to ensure consistency, robustness, and reliability of associations. RESULTS: Overall, a sample of 81,518 observations of full-time workers was analyzed. Working 56hours or more per week was significantly associated (p < 0.05) with an increased odds of using SHAs and MSRPs by 13% (Adjusted Odds Ratio, aOR =1.13, 95% Confidence Interval, CI=1.01:1.26) and 9% (aOR=1.09, 95% CI=1.03:1.16), respectively more than that among those who worked fewer hours. Females in our study had a higher likelihood (aOR=1.11, 95% CI=1.05:1.19) of using SHAs when compared to males. Also, professional services had the highest likelihood (aOR=1.31, 95% CI=1.14:1.50) of using SHAs. CONCLUSION: We found that long working hours were significantly associated with an elevated use of SHAs and MSRPs among U.S. workers. Specifically, female workers and individuals working in professional services had the highest likelihood of using sleep medications.

Transformational strategies for optimizing use of medications and related therapies through us pharmacists and pharmacies: Findings from a national study.

SETTING: Nonoptimized medication therapies (NOMTs) are associated with likely avoidable illnesses and mortality affecting millions of people and costing an estimated $528 billion per year in excess health spending in the United States. The coronavirus disease 2019 (COVID-19) pandemic brought into focus barriers limiting the ability of U.S. pharmacists and pharmacies to provide services that can reduce NOMTs and improve U.S. population health. OBJECTIVES: This National Science Foundation Center for Health Organization Transformation study explored potential strategies that U.S. pharmacists, pharmacies, and their partners could implement to reduce NOMTs while also delivering other forms of value to U.S. populations from 2021 to 2025 (during and after the COVID-19 pandemic). DESIGN: A panel of senior leaders representing the U.S. pharmacist and pharmacy sector participated in a 4-round Delphi process to identify unmet needs, barriers, change drivers, and priority strategies for meeting those needs. Data were gathered and analyzed by public health researchers, most of whom are outside the pharmacist and pharmacy sector. RESULTS: A comprehensive set of evidence-based strategies with potential to reduce NOMTs, protect and improve population health and well-being, and strengthen the sector were identified. Four transformational strategies were recommended: comprehensive payment and practice transformation, strengthening pharmacy data interoperability infrastructure, development of unifying measurement and management mechanisms, and development of a more robust national research infrastructure. Strengthening health equity was a cross-cutting strategy affecting all areas. CONCLUSION: The results may be of interest to policy makers, pharmacists, pharmacies, physicians, nurses and other clinicians, pharmaceutical firms, plan sponsors, plans, health systems, clinics, aging care, digital technology companies, and others interested in optimizing outcomes from medications and related therapies for U.S.

Prevalence of unmasked and improperly masked behavior in indoor public areas during the COVID-19 pandemic: Analysis of a stratified random sample from Louisville, Kentucky.

Wearing a facial mask can limit COVID-19 transmission. Measurements of communities' mask use behavior have mostly relied on self-report. This study's objective was to devise a method to measure the prevalence of improper mask use and no mask use in indoor public areas without relying on self-report. A stratified random sample of retail trade stores (public areas) in Louisville, Kentucky, USA, was selected and targeted for observation by trained surveyors during December 14-20, 2020. The stratification allowed for investigating mask use behavior by city district, retail trade group, and public area size. The total number of visited public areas was 382 where mask use behavior of 2,080 visitors and 1,510 staff were observed. The average prevalence of mask use among observed visitors was 96%, while the average prevalence of proper use was 86%. In 48% of the public areas, at least one improperly masked visitor was observed and in 17% at least one unmasked visitor was observed. The average prevalence of proper mask use among staff was 87%, similar to the average among visitors. However, the percentage of public areas where at least one improperly masked staff was observed was 33. Significant disparities in mask use and its proper use were observed among both visitors and staff by public area size, retail trade type, and geographical area. Observing unmasked and improperly masked visitors was more common in small (less than 1500 square feet) public areas than larger ones, specifically in food and grocery stores as compared to other retail stores. Also, the majority of the observed unmasked persons were male and middle-aged.

Trends and best practices in health care cybersecurity insurance policy.

Health care organizations are a major target for cyberattacks. This is primarily due to their peculiar vulnerabilities and attractiveness to nefarious cyber actors. Data breaches from these attacks present a significant threat to the viability of health care organizations, ranging from financial losses to compromised patient safety. Cybersecurity insurance has become an essential tool for mitigating financial liabilities that may arise from breaches for many organizations. This paper reviews the current state of cybersecurity insurance adoption in the health care sector. It highlights best practices in cybersecurity insurance policy for health care organizations and recommends future directions to strengthen cybersecurity and improve cybersecurity insurance.

A 3-State Analysis of Black-White Disparities in Diabetes Hospitalizations Among Medicaid Beneficiaries.

INTRODUCTION: Although diabetes is one of the leading chronic disease in the country, efforts in primary care and patient self-care management could prevent most of the diabetes-related hospitalizations and produce cost savings and improvements in quality of life. We used information from Medicaid beneficiaries in 3 states to predict racial differences in diabetes hospitalizations and demonstrate how they vary across states. METHODS: We conducted a cross-sectional study to examine differences between black and white patients with diabetes hospitalizations. Information was obtained from the Medicaid Analytic eXtract files. We used multiple logistic regression models to assess the significance of the differences. RESULTS: Analysis included 10 073 adult Medicaid recipients from the states of Mississippi (51%), Georgia (35%), and Michigan (14%). Blacks were more likely to experience longer hospital stays in Georgia (odds ratio [OR] = 1.040; 95% confidence interval [CI]: 1.03-1.06) and Mississippi (OR = 1.048; 95% CI: 1.03-1.07). A majority of patients in both groups were likely to be discharged to their homes for self-care. Black patients had lower odds of repeated stays in Georgia (OR = 0.670; 95% CI: 0.54-0.84), but higher odds in Michigan (OR = 1.580; 95% CI: 1.12-2.24). Similar differences occurred when patients were matched by age and sex. Blacks had lower odds of qualifying for dual Medicare-Medicaid enrollment benefit in Georgia and Mississippi. CONCLUSION: Racial differences in diabetes-related hospitalizations reflect possible inefficiencies in the process of care. Identification of race-specific factors for hospitalizations and implementation of primary care strategies that support effective self-management skills would aid in reducing diabetes hospitalizations and related disparities.