Implementing Competitive Bidding in the Medicare Program: An Expressway to Solvency.

The Medicare program faces increasing budgetary pressures, with recent estimates suggesting that the Medicare Hospital Insurance Trust will be insolvent as soon as 2028. Simultaneously, the Medicare Advantage (MA) program, a managed competition model, continues to grow its market penetration as beneficiaries increasingly choose private plans over traditional fee for service (FFS) Medicare. With the relative cost of the 2 forms of Medicare a subject of debate, policy experts have proposed a variety of policy options to address the program's budgetary pressures and place it on a firmer fiscal footing. This paper explores the implementation of one of these proposals in greater detail: fully transitioning the entire Medicare program to a competitive bidding model in order to reduce overall program costs and improve price competition. Current MA plan bidding methodology is explored, followed by a description of prior proposed competitive bidding models. Implementation challenges are addressed, along with specific policy considerations to protect beneficiaries who wish to remain in FFS Medicare.

Long-term health outcomes following curative therapies for sickle cell disease.

Treatment options for patients with sickle cell disease (SCD) continue to rapidly expand and evolve. The goal of therapies such as an allogeneic hematopoietic stem cell transplant (HSCT), gene therapy, and gene editing is to cure rather than control SCD. The benefits of these therapies must be accompanied by minimizing long-term adverse health outcomes from SCD and its treatment. SCD can have adverse effects on a variety of organ systems, including the heart, lung, kidney, and reproductive system, leading to high disease burden, morbidity, and premature mortality in both pediatric and adult patients. While curative therapies are being increasingly used, there remains a paucity of data on the long-term health outcomes associated with these treatments in children and adults with SCD. There are data available regarding the effects of HSCT performed largely for malignant diseases, from which data on SCD outcomes may be extrapolated. However, given the significant differences between these 2 populations of patients who undergo HSCT, such extrapolation is imprecise at best. Furthermore, there are currently no published data on long-term health outcomes following gene therapy for SCD due to current short follow-up times. We summarize the limited data reported on health outcomes following HSCT for SCD and emphasize the need for more research within this area.

Determinants of stage at diagnosis of HPV-related cancer including area deprivation and clinical factors.

BACKGROUND: Collecting social determinants of health in electronic health records is time-consuming. Meanwhile, an Area Deprivation Index (ADI) aggregates sociodemographic information from census data. The objective of this study was to ascertain whether ADI is associated with stage of human papillomavirus (HPV)-related cancer at diagnosis. METHODS: We tested for the association between the stage of HPV-related cancer presentation and ADI as well as the association between stage and the value of each census-based measure using ordered logistic regression, adjusting for age, race and sex. RESULTS: Among 3247 cases of HPV-related cancers presenting to an urban academic medical center, the average age at diagnosis was 57. The average stage at diagnosis was Surveillance, Epidemiology and End Results Stage 3. In the study population, 43% of patients were female and 87% were white. In this study population, there was no association between stage of HPV-related cancer presentation and either aggregate or individual census variables. CONCLUSIONS: These results may reflect insufficient sample size, a lack of socio-demographic diversity in our population, or suggest that simplifying social determinants of health into a single geocoded index is not a reliable surrogate for assessing a patient's risk for HPV-related cancer.

Addressing Patients' Mental Health Needs at a Student-Run Free Clinic.

Student-run free clinics are uniquely positioned to understand the barriers to accessing mental health resources. We abstracted patient demographics and clinical characteristics from 355 patient charts and examined referral patterns for a subset of patients. Seventy-three (21%) of patients were found to have a psychiatric diagnosis and were more likely to have more medical comorbidities (10 versus 6, p < 0.001), total medications (8 versus 6, p < 0.001, and to be English-speaking (odds ratio: 1.97, p < 0.05). Of patients who received a referral, 37 (60%) were referred to specialty treatment, the majority to a single outside agency provider. 15 (25%) of patients were interviewed. Barriers to successful referral included transportation and medical symptoms. A facilitator of successful referral was concern for individual's health. Language, social stigma, and cost were not cited as barriers. This study describes mental health needs at a SRFC and suggests opportunities for improvement.

Factors influencing precision medicine knowledge and attitudes.

Precision medicine holds great promise for improving health and reducing health disparities that can be most fully realized by advancing diversity and inclusion in research participants. Without engaging underrepresented groups, precision medicine could not only fail to achieve its promise but also further exacerbate the health disparities already burdening the most vulnerable. Yet underrepresentation by people of non-European ancestry continues in precision medicine research and there are disparities across racial groups in the uptake of precision medicine applications and services. Studies have explored possible explanations for population differences in precision medicine participation, but full appreciation of the factors involved is still developing. To better inform the potential for addressing health disparities through PM, we assessed the relationship of precision medicine knowledge and trust in biomedical research with sociodemographic variables. Using a series of linear regression models applied to survey data collected in a diverse sample, we analyzed variation in both precision medicine knowledge and trust in biomedical research with socioeconomic factors as a way to understand the range of precision medicine knowledge (PMK) in a broadly representative group and its relationship to trust in research and demographic characteristics. Our results demonstrate that identifying as Black, while significantly PMK, explains only 1.5% of the PMK variance in unadjusted models and 7% of overall variance in models adjusted for meaningful covariates such as age, marital status, employment, and education. We also found a positive association between PMK and trust in biomedical research. These results indicate that race is a factor affecting PMK, even after accounting for differences in sociodemographic variables. Additional work is needed, however, to identify other factors contributing to variation in PMK as we work to increase diversity and inclusion in precision medicine applications.

Lessons Learned from Efforts to Reduce Overuse of Cardiac Telemetry Monitoring.

BACKGROUND: Inappropriate use of telemetry monitoring is common, increasing costs, false alarms, and length of stay. The Society of Hospital Medicine and Choosing Wisely encourage the use of discontinuation protocols. METHODS: This quality improvement initiative measured the impact of an educational intervention and distribution of performance reports for physicians and residents on the general medicine service. The intervention group received a 15-minute didactic session on appropriate indications for telemetry followed by weekly performance reports for 78 weeks. A segmented linear regression model and Student's t-test were used to determine intervention effects on percentage of patients on telemetry and telemetry orders lasting more than 48 hours. RESULTS: Prior to the intervention, 4.8% of patients received telemetry monitoring; 13.4% of telemetry orders exceeded 48 hours. The control service had a baseline telemetry utilization of 2.4%; 1.2% of telemetry orders exceeded 48 hours. After the intervention, 3.9% of patients received telemetry monitoring; 10.6% of telemetry orders exceeded 48 hours. The control service had a postintervention telemetry utilization of 2.1%; 1.1% of telemetry orders exceeded 48 hours. The Student's t-test showed a statistically significant (p = 0.002) decrease in telemetry ordering rate on the intervention service and no significant change in the control group. However, when using segmented linear regression analysis, these changes could not be attributed to the intervention nor were there any significant changes in balancing metrics. CONCLUSION: Education and weekly performance feedback did not significantly impact telemetry according to segmented linear regression results. Segmented linear regression analysis of an interrupted time series yielded significantly different results from a pre-post comparison using Student's t-test. Rigorous evaluation is vital to decreasing unnecessary care and successful reduction in unnecessary care may require interventions that capitalize on systems-level change.

ePrescribing: Reducing Costs through In-Class Therapeutic Interchange.

INTRODUCTION: Spending on pharmaceuticals in the US reached $373.9 billion in 2014. Therapeutic interchange offers potential medication cost savings by replacing a prescribed drug for an equally efficacious therapeutic alternative. METHODS: Hard-stop therapeutic interchange recommendation alerts were developed for four medication classes (HMG-CoA reductase inhibitors, serotonin receptor agonists, intranasal steroid sprays, and proton-pump inhibitors) in an electronic prescription-writing tool for outpatient prescriptions. Using prescription data from January 2012 to June 2015, the Compliance Ratio (CR) was calculated by dividing the number of prescriptions with recommended therapeutic interchange medications by the number of prescriptions with non-recommended medications to measure effectiveness. To explore potential cost savings, prescription data and medication costs were analyzed for the 45,000 Vanderbilt Employee Health Plan members. RESULTS: For all medication classes, significant improvements were demonstrated - the CR improved (proton-pump inhibitors 2.8 to 5.32, nasal steroids 2.44 to 8.16, statins 2.06 to 5.51, and serotonin receptor agonists 0.8 to 1.52). Quarterly savings through the four therapeutic interchange interventions combined exceeded $200,000 with an estimated annual savings for the health plan of $800,000, or more than $17 per member. CONCLUSION: A therapeutic interchange clinical decision support tool at the point of prescribing resulted in increased compliance with recommendations for outpatient prescriptions while producing substantial cost savings to the Vanderbilt Employee Health Plan - $17.77 per member per year. Therapeutic interchange rules require rational targeting, appropriate governance, and vigilant content updates.

Activation of transient receptor potential vanilloid-1 (TRPV1) influences how retinal ganglion cell neurons respond to pressure-related stress.

Our recent studies implicate the transient receptor potential vanilloid-1 (TRPV1) channel as a mediator of retinal ganglion cell (RGC) function and survival. With elevated pressure in the eye, TRPV1 increases in RGCs, supporting enhanced excitability, while Trpv1 -/- accelerates RGC degeneration in mice. Here we find TRPV1 localized in monkey and human RGCs, similar to rodents. Expression increases in RGCs exposed to acute changes in pressure. In retinal explants, contrary to our animal studies, both Trpv1 -/- and pharmacological antagonism of the channel prevented pressure-induced RGC apoptosis, as did chelation of extracellular Ca(2+). Finally, while TRPV1 and TRPV4 co-localize in some RGC bodies and form a protein complex in the retina, expression of their mRNA is inversely related with increasing ocular pressure. We propose that TRPV1 activation by pressure-related insult in the eye initiates changes in expression that contribute to a Ca(2+)-dependent adaptive response to maintain excitatory signaling in RGCs.

Management of sleep apnea in the neurology patient: Five new things.

Recognizing and treating sleep-disordered breathing (SDB) is essential in delivering neurologic care due to its association with a growing list of neurologic conditions (e.g., stroke, neurodegenerative disorders). Thus, increased proficiency in the recognition and management of SDB is likely to result in better outcomes, care, and utilization of health care resources. To date, continuous positive airway pressure remains the gold standard for patients with moderate to severe obstructive sleep apnea and has been shown to be effective in treating variations of SDB. Appropriate application of new methods and technology such as home sleep testing can help bridge the gap between the need and supply for sleep health care and delivery. Increased focus on efficacious strategies to further awareness and education for patients, caretakers, and providers is paramount to long-term adherence to treatment.