COVID-19 Vaccines: Moderna And Pfizer-BioNTech Use Varied By Urban, Rural Counties.

We investigated county-level variation in mRNA COVID-19 vaccine use among Medicare beneficiaries throughout the United States. There was greater use of Pfizer-BioNTech vaccines than Moderna vaccines in urban areas for first and booster doses.

Public and Private Options in Practice: The Military Health System.

Recent debates over health care reform, including in the context of the Military Health System (MHS) and Veterans Administration, highlight the dispute between public and private provision of health care services. Using novel data on childbirth claims from the MHS and drawing on the combination of plausibly exogenous patient moves and heterogeneity across bases in the availability of base hospitals, we identify the impact of receiving obstetrical care on versus off military bases. We find evidence that off-base care is associated with slightly greater resource intensity, but also notably better outcomes, suggesting marginal efficiency gains from care privatization.

The estimated annual financial impact of gene therapy in the United States.

Gene therapy is a new class of medical treatment that alters part of a patient's genome through the replacement, deletion, or insertion of genetic material. While still in its infancy, gene therapy has demonstrated immense potential to treat and even cure previously intractable diseases. Nevertheless, existing gene therapy prices are high, raising concerns about its affordability for U.S. payers and its availability to patients. We assess the potential financial impact of novel gene therapies by developing and implementing an original simulation model which entails the following steps: identifying the 109 late-stage gene therapy clinical trials underway before January 2020, estimating the prevalence and incidence of their corresponding diseases, applying a model of the increase in quality-adjusted life years for each therapy, and simulating the launch prices and expected spending of all available gene therapies annually. The results of our simulation suggest that annual spending on gene therapies will be approximately $20.4 billion, under conservative assumptions. We decompose the estimated spending by treated age group as a proxy for insurance type, finding that approximately one-half of annual spending will on the use of gene therapies to treat non-Medicare-insured adults and children. We conduct multiple sensitivity analyses regarding our assumptions and model parameters. We conclude by considering the tradeoffs of different payment methods and policies that intend to ensure patient access to the expected benefits of gene therapy.

Consistency and applicability of return to function guidelines in tactical-athletes with exertional heat illness. A systematic review.

OBJECTIVE: To assess the consistency of return to sport and occupation recommendations following EHI provided in published clinical practice guidelines, consensus statements, position statements, and practice alerts. The agreement between medical policies governing the return to duty following EHI between the branches of the United States Armed Forces and published recommendations was assessed. METHODS: Ovid MEDLINE, Web of Science, and CINAHL databases were searched for clinical practice guidelines and position statements published at any time that guided return to activity in individuals with EHI. Methodological quality was assessed, and the specific recommendations for clinical management were extracted. Consistency of recommendations was evaluated. Agreement between published guidelines and the policies governing return to activity in military tactical athletes with heat injury were also evaluated. RESULTS: Guidelines developed by two civilian sports medicine societies in the United States detailing recommendations for return to function following EHI were identified. There was consistency between guidelines regarding recommendations that addressed abstinence from activity; medical follow-up; graded resumption of activity; and return to function. Pertaining military policy, contemporary regulations published in recent years reflected the recommendations provided in the professional guidelines. The greatest incongruence was noted in older military policies. CONCLUSIONS: This systematic review highlights the need for consistent recommendations across all branches of the military and medical specialties pertaining to returning servicemembers to duty after EHI .

Staffing Patterns in US Nursing Homes During COVID-19 Outbreaks.

Importance: Staff absences and departures at nursing homes may put residents at risk and present operational challenges. Objective: To quantify changes in nursing home facility staffing during and after a severe COVID-19 outbreak. Design Setting and Participants: In this cohort study, daily staffing payroll data were used to construct weekly measures of facility staffing, absences, departures, and use of overtime and contract staff among US nursing homes experiencing a severe COVID-19 outbreak that started between June 14, 2020, and January 1, 2021. Facility outbreaks were identified using COVID-19 case data. An event-study design with facility and week fixed effects was used to investigate the association of severe outbreaks with staffing measures. Exposures: Weeks since the beginning of a severe COVID-19 outbreak (4 weeks prior to 16 weeks after). Main Outcomes and Measures: Total weekly staffing hours, staff counts, staff absences, departures, new hires, overtime and contract staff hours measured for all nursing staff and separately by staff type (registered nurses, licensed practical nurses, certified nursing assistants), facility self-reported staff shortages, and resident deaths. Results: Of the included 2967 nursing homes experiencing severe COVID-19 outbreaks, severe outbreaks were associated with a statistically significant drop in nursing staffing levels owing to elevated absences and departures. Four weeks after an outbreak's start, around when average new cases peaked, staffing hours were 2.6% (95% CI, 2.1%-3.2%) of the mean below preoutbreak levels, despite facilities taking substantial measures to bolster staffing through increased hiring and the use of contract staff and overtime. Because these measures were mostly temporary, staffing declined further in later weeks; 16 weeks after an outbreak's start, staffing hours were 5.5% (95% CI, 4.5%-6.5%) of the mean below preoutbreak levels. Staffing declines were greatest among certified nursing assistants, primarily owing to smaller increases in new hires of this staff type compared with licensed practical nurses and registered nurses. Conclusions and Relevance: In this cohort study of nursing homes experiencing severe COVID-19 outbreaks, facilities experienced considerable staffing challenges during and after outbreaks. These results suggest the need for policy action to ensure facilities' abilities to maintain adequate staffing levels during and after infectious disease outbreaks.

International Reference Pricing in the Context of US Drug Policy.

International reference prices (IRP), also called external reference prices, are widely used across developed nations. IRP uses the prices paid in other countries to either inform negotiations with the pharmaceutical industry or as a cap on market prices. The authors review the application of IRP to cap the prices of negotiated outcomes in the context of US proposals for changing the way prescription drug prices are established for the Medicare program. They examine the economic, political, and administrative issues associated with the use of IRP, and they summarize the evidence on the impacts of IRP.

The impact of mental health support for the chronically ill on hospital utilisation: Evidence from the UK.

Individuals with common mental disorders (CMDs) such as depression and anxiety frequently have co-occurring long-term physical health conditions (LTCs) and this co-occurrence is associated with higher hospital utilisation. Psychological treatment for CMDs may reduce healthcare utilisation through better management of the LTC, but there is little previous research. We examined the impact of psychological treatment delivered under the nationwide Improving Access to Psychological Therapies (IAPT) programme in England on hospital utilisation 12-months after the end of IAPT treatment. We examined three types of hospital utilisation: Inpatient treatment, Outpatient treatment and Emergency Room attendance. We examined individuals with Chronic Obstructive Pulmonary Disease (COPD) (n = 816), Diabetes (n = 2813) or Cardiovascular Disease (CVD) (n = 4115) who received psychological treatment between April 2014 and March 2016. IAPT episode data was linked to hospital utilisation data which went up to March 2017. Changes in the probability of hospital utilisation were compared to a matched control sample for each LTC. Individuals in the control sample received IAPT treatment between April 2017 and March 2018. Compared to the control sample, the treated sample had significant reductions in the probability of all three types of hospital utilisation, for all three LTCs 12-months after the end of IAPT treatment. Reductions in utilisation of Emergency Room, Outpatient and non-elective Inpatient treatment were also observed immediately following the end of psychological treatment, and 6-months after, for individuals with diabetes and CVD, compared to the matched sample. These findings suggest that psychological interventions for CMDs delivered to individuals with co-occurring long-term chronic conditions may reduce the probability of utilisation of hospital services. Our results support the roll-out of psychological treatment aimed at individuals who have co-occurring CMDs and long-term chronic conditions.

Is great information good enough? Evidence from physicians as patients.

We place an upper bound on the degree to which policies aimed at improving the information deficiencies of patients may lead to greater adherence to clinical guidelines and recommended practices. To do so, we compare the degree of adherence attained by a group of patients that should have the best possible information on health care practices-i.e., physicians as patients-with that attained by a comparable group of non-physician patients, taking various steps to account for unobservable differences between the two groups. Our results suggest that physicians, at best, do only slightly better in adhering to both low- and high-value care guidelines than non-physicians.

The effect of increased cost-sharing on low-value service use.

We examine the effect of a value-based insurance design (VBID) program implemented at a large public employer in the state of Oregon. The program substantially increased cost-sharing for several healthcare services likely to be of low value for most patients: diagnostic services (e.g., imaging services) and surgeries (e.g., spinal surgeries for pain). Using a difference-in-differences design coupled with granular, administrative health insurance claims data over the period 2008-2012, we estimate the change in low-value service use among beneficiaries before and after program implementation relative to a comparison group not exposed to the VBID. Our findings suggest that the VBID significantly reduced the use of targeted services, with an implied elasticity of demand of -0.22. We find no evidence that the VBID led to substitution to non-targeted services or increased overall healthcare costs. However, we also observe no evidence that the program led to cost-savings.

From Zero to a National Data Set in 2 Weeks: Reflections on a COVID-19 Collaborative Survey Project.

In March 2020, like much of the rest of the world, we went into lockdown. A week into our new reality, we decided to do a survey study about how people were experiencing the COVID-19 pandemic. In this piece, we describe what motivated us to do the study, how we went about it, and what others can learn from our experiences.

Changes in Digital Communication During the COVID-19 Global Pandemic: Implications for Digital Inequality and Future Research.

Governments and public health institutions across the globe have set social distancing and stay-at-home guidelines to battle the COVID-19 pandemic. With reduced opportunities to spend time together in person come new challenges to remain socially connected. This essay addresses how the pandemic has changed people's use of digital communication methods, and how inequalities in the use of these methods may arise. We draw on data collected from 1,374 American adults between 4 and 8 April 2020, about two weeks after lockdown measures were introduced in various parts of the United States. We first address whether people changed their digital media use to reach out to friends and family, looking into voice calls, video calls, text messaging, social media, and online games. Then, we show how age, gender, living alone, concerns about Internet access, and Internet skills relate to changes in social contact during the pandemic. We discuss how the use of digital media for social connection during a global public health crisis may be unequally distributed among citizens and may continue to shape inequalities even after the pandemic is over. Such insights are important considering the possible impact of the COVID-19 pandemic on people's social wellbeing. We also discuss how changes in digital media use might outlast the pandemic, and what this means for future communication and media research.

Defensive Medicine: Evidence from Military Immunity.

We estimate the extent of defensive medicine by physicians, embracing the no-liability counterfactual made possible by the structure of liability rules in the Military Heath System. Active-duty patients seeking treatment from military facilities cannot sue for harms resulting from negligent care, while protections are provided to dependents treated at military facilities and to all patients-active-duty or not-that receive care from civilian facilities. Drawing on this variation and exploiting exogenous shocks to care location choices stemming from base-hospital closures, we find suggestive evidence that liability immunity reduces inpatient spending by 5% with no measurable negative effect on patient outcomes.

Evaluating Measures of Hospital Quality:Evidence from Ambulance Referral Patterns.

Hospital quality measures are crucial to a key idea behind health care payment reforms: "paying for quality" instead of quantity. Nevertheless, such measures face major criticisms largely over the potential failure of risk adjustment to overcome endogeneity concerns when ranking hospitals. In this paper we test whether patients treated at hospitals that score higher on commonly-used quality measures have better health outcomes in terms of rehospitalization and mortality. To compare similar patients across hospitals in the same market, we exploit ambulance company preferences as an instrument for hospital choice. We find that a variety of measures used by insurers to measure provider quality are successful: choosing a high-quality hospital compared to a low-quality hospital results in 10-15% better outcomes.

Prescription Drug Use under Medicare Part D: A Linear Model of Nonlinear Budget Sets.

Medicare Part D enrollees face a complicated decision: they dynamically choose prescription drug consumption in each period given difficult-to-find prices and a non-linear budget set. We use Part D claims data to estimate a flexible model of consumption that accounts for non-linear prices, dynamic responses, and salience. We use reduced form price responses from a linear regression of consumption on coverage range prices to compare performance under several models of behavior. We find small price elasticities, substantial myopia, and that salient characteristics impact consumption beyond their effect on prices. A hyperbolic discounting model with salience fits the data best.

Choice Inconsistencies among the Elderly: Evidence from Plan Choice in the Medicare Part D Program: Reply.

We explore the in- and out- of sample robustness of tests for choice inconsistencies based on parameter restrictions in parametric models, focusing on tests proposed by Ketcham, Kuminoff and Powers (KKP). We argue that their non-parametric alternatives are inherently conservative with respect to detecting mistakes. We then show that our parametric model is robust to KKP's suggested specification checks, and that comprehensive goodness of fit measures perform better with our model than the expected utility model. Finally, we explore the robustness of our 2011 results to alternative normative assumptions highlighting the role of brand fixed effects and unobservable characteristics.