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U.S. hospitals are already reporting shortages of key equipment needed to care for critically ill patients with Covid-19, including ventilators and personal protective equipment for medical staff. Adequate production and distribution of this equipment is crucial.

The extent to which recent large increases in hospitals' adoption of electronic health record (EHR) systems can be attributed to the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009 is uncertain and debated. Because only short-term acute care hospitals were eligible for the act's meaningful-use incentive program, we used national hospital data to examine the differential effect of HITECH on EHR adoption among eligible and ineligible hospitals in the periods before (2008-10) and after (2011-15) implementation of the program. We found that annual increases in EHR adoption rates among eligible hospitals went from 3.2 percent in the pre period to 14.2 percent in the post period. Ineligible hospitals experienced much smaller annual increases of 0.1 percent in the pre period and 3.3 percent in the post period, a significant difference-in-differences of 7.9 percentage points. Our results support the argument that recent gains in EHR adoption can be attributed specifically to HITECH, which suggests that the act could serve as a model for ways to drive the adoption of other valuable technologies.

With an mpox outbreak primarily affecting African countries declared a regional and international emergency, lifesaving resources should be mobilized according to the principles of solidarity and equity.

Social distancing have been widely used to mitigate community spread of SARS-CoV-2. We sought to quantify the impact of COVID-19 social distancing policies across 27 European counties in spring 2020 on population mobility and the subsequent trajectory of disease. We obtained data on national social distancing policies from the Oxford COVID-19 Government Response Tracker and aggregated and anonymized mobility data from Google. We used a pre-post comparison and two linear mixed-effects models to first assess the relationship between implementation of national policies and observed changes in mobility, and then to assess the relationship between changes in mobility and rates of COVID-19 infections in subsequent weeks. Compared to a pre-COVID baseline, Spain saw the largest decrease in aggregate population mobility (~70%), as measured by the time spent away from residence, while Sweden saw the smallest decrease (~20%). The largest declines in mobility were associated with mandatory stay-at-home orders, followed by mandatory workplace closures, school closures, and non-mandatory workplace closures. While mandatory shelter-in-place orders were associated with 16.7% less mobility (95% CI: -23.7% to -9.7%), non-mandatory orders were only associated with an 8.4% decrease (95% CI: -14.9% to -1.8%). Large-gathering bans were associated with the smallest change in mobility compared with other policy types. Changes in mobility were in turn associated with changes in COVID-19 case growth. For example, a 10% decrease in time spent away from places of residence was associated with 11.8% (95% CI: 3.8%, 19.1%) fewer new COVID-19 cases. This comprehensive evaluation across Europe suggests that mandatory stay-at-home orders and workplace closures had the largest impacts on population mobility and subsequent COVID-19 cases at the onset of the pandemic. With a better understanding of policies' relative performance, countries can more effectively invest in, and target, early nonpharmacological interventions.

Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely quantified. Using anonymized and aggregated mobility data from opted-in Google users, we found that state-level emergency declarations resulted in a 9.9% reduction in time spent away from places of residence. Implementation of one or more social distancing policies resulted in an additional 24.5% reduction in mobility the following week, and subsequent shelter-in-place mandates yielded an additional 29.0% reduction. Decreases in mobility were associated with substantial reductions in case growth two to four weeks later. For example, a 10% reduction in mobility was associated with a 17.5% reduction in case growth two weeks later. Given the continued reliance on social distancing policies to limit the spread of COVID-19, these results may be helpful to public health officials trying to balance infection control with the economic and social consequences of these policies. In response to COVID-19, many states have implemented social distancing orders, but the effect of these orders on population mobility has not been fully quantified. Here, the authors use data from the US to show that state-level social distancing orders substantially reduced mobility and limited the spread of disease.

Achieving nationwide adoption of electronic health records (EHRs) remains an important policy priority. While EHR adoption has increased steadily since 2010, it is unclear how providers that have not yet adopted will fare now that federal incentives have converted to penalties. We used 2008-14 national data, which includes the most recently available, to examine hospital EHR trends. We found large gains in adoption, with 75 percent of US hospitals now having adopted at least a basic EHR system-up from 59 percent in 2013. However, small and rural hospitals continue to lag behind. Among hospitals without a basic EHR system, the function most often not yet adopted (in 61 percent of hospitals) was physician notes. We also saw large increases in the ability to meet core stage 2 meaningful-use criteria (40.5 percent of hospitals, up from 5.8 percent in 2013); much of this progress resulted from increased ability to meet criteria related to exchange of health information with patients and with other physicians during care transitions. Finally, hospitals most often reported up-front and ongoing costs, physician cooperation, and complexity of meeting meaningful-use criteria as challenges. Our findings suggest that nationwide hospital EHR adoption is in reach but will require attention to small and rural hospitals and strategies to address financial challenges, particularly now that penalties for lack of adoption have begun.

Climate change is intensifying extreme weather events. Yet a systematic analysis of post-disaster healthcare utilization and outcomes for severe weather and climate disasters, as tracked by the US government, is lacking. Following exposure to 42 US billion-dollar weather disasters (severe storm, flood, flood/severe storm, tropical cyclone and winter storm) between 2011 and 2016, we used a difference-in-differences (DID) approach to quantify changes in the rates of emergency department (ED) visits, nonelective hospitalizations and mortality between fee-for-service Medicare beneficiaries in affected compared to matched control counties in post-disaster weeks 1, 1–2 and 3–6. Overall, disasters were associated with higher rates of ED utilization in affected counties in post-disaster week 1 (DID of 1.22% (95% CI, 0.20% to 2.25%; P  < 0.020)) through week 2. Nonelective hospitalizations were unchanged. Mortality was higher in affected counties in week 1 (DID of 1.40% (95% CI, 0.08% to 2.74%; P  = 0.037)) and persisted for 6 weeks. Counties with the greatest loss and damage experienced greater increases in ED and mortality rates compared to all affected counties. Thus, billion-dollar weather disasters are associated with excess ED visits and mortality in Medicare beneficiaries. Tracking these outcomes is important for adaptation that protects patients and communities, health system resilience and policy. Analysis of 42 severe weather disasters (floods, storms and cyclones) in the United States between 2011 and 2016 reported associations with increased emergency department utilization and mortality in affected counties for up to 6 weeks.

This study was based on a large survey of patients' experiences in the hospital. Hospitals with the highest nurse-staffing levels received the highest ratings from patients with respect to satisfaction with their care. Furthermore, hospitals that received the highest satisfaction ratings from patients provided a modestly higher quality of clinical care than those that received the lowest ratings. Hospitals with the highest nurse-staffing levels received the highest ratings from patients with respect to satisfaction with their care. Furthermore, hospitals that received the highest satisfaction ratings from patients provided a modestly higher quality of clinical care than those that received the lowest ratings. The quality of health care in the United States varies according to region and setting and is too often inadequate. 1 – 3 In response to uneven care among hospitals, federal policy makers and private organizations have launched an important program to collect and publicly report data on the quality of the health care Americans receive. The Hospital Quality Alliance (HQA) program, 2 overseen by private and public entities, including the Centers for Medicare and Medicaid Services (CMS) and the Joint Commission, is leading this effort in the hospital sector, producing quarterly reports on the provision of effective services for common conditions. Although . . .

Although the extent of hospital and intensive-care use at the end of life is well known, patterns of surgical care during this period are poorly understood. We examined national patterns of surgical care in the USA among elderly fee-for-service Medicare beneficiaries in their last year of life. We did a retrospective cohort study of elderly beneficiaries of fee-for-service Medicare in the USA, aged 65 years or older, who died in 2008. We identified claims for inpatient surgical procedures in the year before death and examined the relation between receipt of an inpatient procedure and both age and geographical region. We calculated an end-of-life surgical intensity (EOLSI) score for each hospital referral region defined as proportion of decedents who underwent a surgical procedure during the year before their death, adjusted for age, sex, race, and income. We compared patient characteristics with Rao-Scott χ 2 tests, resource use with generalised estimating equations, regional differences with generalised estimating equations Wald tests, and end-of-life surgical intensity scores with Spearman's partial-rank-order correlation coefficients. Of 1 802 029 elderly beneficiaries of fee-for-service Medicare who died in 2008, 31·9% (95% CI 31·9–32·0; 575 596 of 1 802 029) underwent an inpatient surgical procedure during the year before death, 18·3% (18·2–18·4; 329 771 of 1 802 029) underwent a procedure in their last month of life, and 8·0% (8·0–8·1; 144 162 of 1 802 029) underwent a procedure during their last week of life. Between the ages of 80 and 90 years, the percentage of decedents undergoing a surgical procedure in the last year of life decreased by 33% (35·3% [95% CI 34·7–35·9; 8858 of 25 094] to 23·6% [22·9–24·3; 3340 of 14 152]). EOLSI score in the highest intensity region (Munster, IN) was 34·4 (95% CI 33·7–35·1) and in the lowest intensity region (Honolulu, HI) was 11·5 (11·3–11·7). Regions with a high number of hospital beds per head had high end-of-life surgical intensity (r=0·37, 95% CI 0·27–0·46; p<0·0001), as did regions with high total Medicare spending (r=0·50, 0·41–0·58; p<0·0001). Many elderly people in the USA undergo surgery in the year before their death. The rate at which they undergo surgery varies substantially with age and region and might suggest discretion in health-care providers' decisions to intervene surgically at the end of life. None.

AbstractObjectiveTo investigate whether patients’ mortality differs according to the age and sex of surgeons.DesignObservational study.SettingUS acute care hospitals.Participants100% of Medicare fee-for-service beneficiaries aged 65-99 years who underwent one of 20 major non-elective surgeries between 2011 and 2014.Main outcome measureOperative mortality rate of patients, defined as death during hospital admission or within 30 days of the operative procedure, after adjustment for patients’ and surgeons’ characteristics and indicator variables for hospitals.Results892 187 patients who were treated by 45 826 surgeons were included. Patients’ mortality was lower for older surgeons than for younger surgeons: the adjusted operative mortality rates were 6.6% (95% confidence interval 6.5% to 6.7%), 6.5% (6.4% to 6.6%), 6.4% (6.3% to 6.5%), and 6.3% (6.2% to 6.5%) for surgeons aged under 40 years, 40-49 years, 50-59 years, and 60 years or over, respectively (P for trend=0.001). There was no evidence that adjusted operative mortality differed between patients treated by female versus male surgeons (adjusted mortality 6.3% for female surgeons versus 6.5% for male surgeons; adjusted odds ratio 0.97, 95% confidence interval 0.93 to 1.01). After stratification by sex of surgeon, patients’ mortality declined with age of surgeon for both male and female surgeons (except for female surgeons aged 60 or older); female surgeons in their 50s had the lowest operative mortality.ConclusionUsing national data on Medicare beneficiaries in the US, this study found that patients treated by older surgeons had lower mortality than patients treated by younger surgeons. There was no evidence that operative mortality differed between male and female surgeons.