Marijuana use disorder among adults with functional disabilities-A US population-based cross-sectional study.

BACKGROUND AND OBJECTIVES: Recent studies suggest a growing trend in marijuana use, compared to a stable prevalence of marijuana use disorder among US adults over the first 15 years of the 21st century. This study investigated the recent patterns of marijuana use disorder among people with disabilities (PWD). METHODS: We extracted a nationally representative sample (N = 209,058) from the 2015-2019 National Survey on Drug Use and Health data set and examined associations by functional disability status (any disability, disability by type, and number of disabling limitations) with marijuana use disorder using a series of independent multivariable logistic regression models. We also performed trend analyses during the study period. RESULTS: The prevalence of marijuana use disorder (from 1.7% to 2.3%) increased significantly among PWD between 2015 and 2019 (p-trend < .001). PWD were significantly more likely to report marijuana use disorder (odds ratio [OR], 1.37, 95% confidence interval [CI], 1.24-1.52) than people without disability (PWoD). Those with cognitive limitation only (OR, 1.78, 95% CI, 1.53-2.06) and ≥2 limitations (OR, 1.29, 95% CI, 1.10-1.51) were more likely to report marijuana use disorder than PWoD. DISCUSSION AND CONCLUSIONS: PWD had a consistently higher prevalence of marijuana use disorder than PWoD. Additionally, the level of risk for marijuana use disorder varied by disability type and number of disabling limitations. SCIENTIFIC SIGNIFICANCE: Our study provided new nuance on disparities in marijuana use disorder between PWD and PWoD and further revealed the varied risks for marijuana use disorder across different disability statuses.

Impact of Change in Allocation Score Methodology on Post Kidney Transplant Average Length of Stay.

Background: In December 2014, a new Kidney Allocation System (KAS) was implemented nationwide to improve access and quality of care to historically disadvantaged patients. However, no study to date has examined the relationship between the KAS and potential changes in hospital length of stay (LOS). This study aimed to examine the relationship between the KAS implemented in December 2014 and potential changes in hospital LOS. Methods: We used data from the Florida Agency for Health Care Administration on kidney transplant surgeries completed between 2011 and 2018. A cross-sectional cohort study design included seven hospitals that performed kidney transplants for the duration of the study. A propensity score matching approach was used to examine the relationship between KAS and LOS. All acute general medical and surgical hospitals in Florida that performed kidney transplant surgery were included in the analysis. Results: We included 7,795 patients, 6,119 discharged to home, and 1,676 discharged to home with home health services after transplant. The average LOS prior to KAS was 6.52 days and 6.08 days post KAS. Propensity matched results show that patients transferred to home experienced a decrease in the LOS (coefficient (ß) = -0.68; 95% confidence interval (CI): -0.95, -0.42) after the new allocation score was implemented. Similarly, patients transferred to home with home health experienced a decrease in the LOS (ß = -1.90; 95% CI: -2.69, -1.11) after the new allocation was implemented. Conclusion: In conclusion, results indicate that KAS implementation did not add a burden on the health system by increasing LOS when considering patients with similar characteristics before and after KAS implementation. KAS is an important policy change that appears to not negatively affect the LOS when sicker patients could receive a kidney transplant. Our findings improve our understanding of the KAS policy and its influence on the health system.

Cancer Risk Perceptions Among People Who Check Their Skin for Skin Cancer: Results from the 2017 U.S. Health Information National Trends Survey (HINTS).

When detected early, melanoma is highly treatable and rarely fatal. Self-skin checks can identify changes in moles that could be an indicator of melanoma. Cancer risk perceptions may influence the uptake of important preventive health behaviors such as self-skin checks. The purpose of this study is to examine cancer risk perception factors associated with those who have checked their skin for signs of skin cancer using the 2017 HINTS data. Retrospective cross-sectional analysis of a nationally representative sample of U.S. adults using the Health Information National Trends Survey (HINTS). Logistic regressions were performed to identify associations between having checked skin for signs of skin cancer, risk perceptions, and demographic variables. White women over the age of 45 with a college degree and annual incomes greater than $75,000 were more likely to check their skin for signs of skin cancer. More than a third reported they would rather not know if they had cancer and more than 60% had some level of worry about having cancer. Those with a personal or family history of cancer were more likely to check. HINTS is a cross-sectional survey which provides only a glimpse of behavioral predictors. Self-skin checks are simple and cost-effective to detect melanoma early and improve outcomes. Fear and worry about cancer were significant factors in the likelihood of checking skin for signs of skin cancer. Population-based strategies could be developed to reduce concerns about early detection.

Smoke-Free Policies and 30-Day Readmission Rates for Chronic Obstructive Pulmonary Disease.

INTRODUCTION: Previous evidence has shown that smoke-free policies reduce hospital admissions due to respiratory causes, but the impact on 30-day readmission has not been determined. As 25 states in the U.S. have not adopted comprehensive smoke-free legislation, it is likely that patients return to an environment that increases risk of a secondary event. The aim of this study is to investigate the impact of smoke-free policies on 30-day readmission rates for adults aged ≥65 years following hospitalization for chronic obstructive pulmonary disease in the U.S. METHODS: Data from the U.S. Tobacco Control Laws Database, Centers for Medicare and Medicaid Services Hospital Readmissions Reduction Program, American Hospital Association, Area Health Resource File, and U.S. Census Bureau Current Population Survey were merged at the county level for years 2013-2016 and analyzed in 2018. Hierarchical Poisson regression models were utilized to calculate incidence rate ratios to determine the impact of full, partial, and no smoke-free policies on 30-day readmission rates after chronic obstructive pulmonary disease hospitalization. RESULTS: Multivariable analysis adjusting for both county and hospital characteristics revealed that the presence of full (incidence rate ratio=0.81, 95% CI=0.76, 0.88) and partial (incidence rate ratio=0.87, 95% CI=0.81, 0.92) smoke-free policies were associated with fewer 30-day readmissions for chronic obstructive pulmonary disease-related hospitalizations when compared with counties with no smoke-free policy. CONCLUSIONS: The implementation of smoke-free policies is an effective measure for reducing 30-day readmissions following hospitalization due to chronic obstructive pulmonary disease, with stronger policies resulting in decreased risk. Efforts to reduce chronic obstructive pulmonary disease-related 30-day readmissions should include the implementation of smoke-free policies.