Differential associations of mask mandates on COVID-19 infection and mortality by community social vulnerability.

BACKGROUND: The COVID-19 pandemic in the United States has disproportionately impacted communities deemed vulnerable to disease outbreaks. Our objectives were to test (1) whether infection and mortality decreased in counties in the most vulnerable (highest) tercile of the Social Vulnerability Index (SVI), and (2) whether disparities between terciles of SVI were reduced, as the length of mask mandates increased. METHODS: Using the New York Times COVID-19 and the Centers for Disease Control and Prevention SVI and mask mandate datasets, we conducted negative binomial regression analyses of county-level COVID-19 cases and deaths from 1/2020-11/2021 on interactions of SVI and mask mandate durations. RESULTS: Mask mandates were associated with decreases in mid-SVI cases (IRR: 0.79) and deaths (IRR: 0.90) and high-SVI cases (IRR: 0.89) and deaths (IRR: 0.88). Mandates were associated with the mitigation of infection disparities (Change in IRR: 0.92) and mortality disparities (Change in IRR: 0.85) between low and mid-SVI counties and mortality disparities between low and high-SVI counties (Change in IRR: 0.84). DISCUSSION: Mask mandates were associated with reductions in COVID-19 infection and mortality and mitigation of disparities for mid and high-vulnerability communities. CONCLUSIONS: Ongoing COVID-19 response efforts may benefit from longer-standing infection control policies, particularly in the most vulnerable communities.

Predictors of Out-of-ACO Care in the Medicare Shared Savings Program.

IMPORTANCE: Patients treated outside of their Medicare Shared Savings Program (MSSP) accountable care organization (ACO) likely benefit less from the ACO's integration of care. Consequently, the MSSP's open-network design may preclude ACOs from improving value in care. OBJECTIVES: Quantify out-of-ACO care in a single urban ACO and examine associations between patient-level predictors and out-of-ACO expenditures. RESEARCH DESIGN: Secondary data analysis using Centers for Medicare and Medicaid ACO Program Claim and Claim Line Feed dataset (dates of service January 1, 2013-December 31, 2013). Two-part modeling was used to examine associations between patient-level predictors and likelihood and level of out-of-ACO expenditures. SUBJECTS: Patients were included if they were prospectively assigned to the MSSP in 2013. Patients were excluded if they declined to share data with the ACO, were not retrospectively confirmed to be in the ACO, or had missing data on covariates. Analytic sample included 11,922 patients. MEASURES: Total out-of-ACO expenditures and out-of-ACO expenditures by place of service. RESULTS: Of total expenditures, 32.9% were paid to out-of-ACO providers, and 89.8% of beneficiaries had out-of-ACO expenditures. The presence of almost all medical comorbidities increased out-of-ACO expenditures ($800-$3000 per comorbidity) across the study population. Racial/ethnic minority groups spent between $1076 and $1422 less outside of the ACO than white patients, which was driven by less out-of-ACO outpatient office expenditures ($417-$517 less for each racial/ethnic minority group). CONCLUSIONS: Out-of-ACO expenditures represented a significant portion of expenditures for the study population. Medically complex patients spent more outside of the ACO and represent an important population to study further.

Cost-related nonadherence by medication type among Medicare Part D beneficiaries with diabetes.

BACKGROUND: Despite the rollout of Medicare Part D, cost-related nonadherence (CRN) among older adults remains a problem. OBJECTIVES: To examine the rate and correlates of self-reported CRN among a population of older persons with diabetes. RESEARCH DESIGN: Cross-sectional. SUBJECTS: A total of 1264 Part D patients with diabetes, who entered the coverage gap in 2006. MEASURES: Initial administrative medication lists were verified in computer-assisted telephone interviews, in which participants brought their medication bottles to the phone. Medications were classified into cardiometabolic (diabetes, hypertension, cholesterol-lowering), symptom relief, and "other." Participants were asked if they had any CRN during 2006, and if so to which medication/s. We used the person-medication dyad as the unit of analysis, and tested a multivariate random effects logistic regression model to analyze the correlates of CRN. RESULTS: Approximately 16% of participants reported CRN. CRN was more frequent for cholesterol-lowering medications (relative risk, 1.54; 95% confidence interval, 1.01-2.32) compared with medications taken for symptom relief. CRN was reported less frequently with increasing age above 75 years, compared with patients between 65 and 69. In addition, compared with those with incomes of ≥$40,000, CRN risk for those with incomes of <$25,000 was markedly higher (relative risk, 3.05; 95% confidence interval, 1.99-4.65). CONCLUSIONS: In summary, we found high rates of CRN among Medicare beneficiaries with diabetes, particularly those with lower incomes. We observed more frequent CRN for cholesterol-lowering medications as compared with medications for symptom relief. Efforts to ensure medication affordability for this population will be important in boosting adherence to key medications.

Challenges of conducting multi-center, multi-disciplinary urinary incontinence clinical trials: experience of the urinary incontinence treatment network.

AIMS: The Urinary Incontinence Treatment Network (UITN) was established in 2000 as a multi-disciplinary, multi-institutional network by the National Institute for Diabetes, Digestive, and Kidney Diseases (NIDDK) to investigate treatments for urinary incontinence in women. METHODS: Over 8 years this network composed of urologists, urogynecologists, geriatricians, behavioral psychologists, physical therapists, nurses, epidemiologists, social scientists and statisticians from nine academic sites and a Data Coordinating Center has been effective in designing and completing prospective randomized clinical trials for treatments of urinary incontinence in women. RESULTS: Two major clinical trials have been completed and a third has completed recruitment. The focus of the completed trials was a comparison of surgical methods to treat stress urinary incontinence whereas the third examined the potential benefit of combined behavioral intervention and antimuscarinic drug therapy to eliminate the need for long-term use of drug therapy alone to manage urge urinary incontinence. The scientific output of the network measured by abstracts, original papers and presentations demonstrates the productivity of the network. CONCLUSIONS: Many unique challenges are posed by a multi-disciplinary team located at sites across the United States undertaking several clinical trials. This review presents some of the logistics, barriers, tactics, and strategies used to create this successful clinical trials network focused on urinary incontinence.

Tips on establishing a robotics program in an academic setting.

Over the past 5 years, robotic-assisted laparoscopic surgery has gone from being a novelty to an accepted approach for intra-abdominal and pelvic surgery. Driving this trend has been the large number of robotic-assisted laparoscopic prostatectomies performed throughout the U.S. Nearly a quarter of the prostatectomies done for prostate cancer in the U.S. in 2006 will use robotic assistance, yet reports fail to confirm cost effectiveness. The most important predictor of a successful program is a champion at the institution. Studies have demonstrated safety and immediate benefits with regard to reduced surgical morbidity such as pain, loss of work, quality of life, and blood loss for a variety of surgeries patients. Specific to prostatectomy for cancer, long-term data on biochemical (PSA) failures and cancer cures, as well as validated secondary outcomes for continence and potency, are still unavailable. Benefits accrue for the surgeon as well with improved ergonomics and potential extension of a surgical career. Yet, enthusiasm for robotics must be tempered by this lack of data and economic limitations. However, if a thoughtful and thorough process in initiating a robotic program is undertaken, the risks to the institution can be minimized. With proper training, the risk to the patient is reduced and with due diligence with regard to market and operative resources, the risk to the surgeon can be eliminated. This report reviews the steps to assess, plan, initiate, and maintain a robotics program at an academic institution with the hope that other programs can benefit from lessons acquired by early adopters of this expensive technology.