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BackgroundAs the novel coronavirus disease (COVID-19) is widely spreading across the United States, there is a concern about the overloading of the nation’s health care capacity. The expansion of telehealth services is expected to deliver timely care for the initial screening of symptomatic patients while minimizing exposure in health care facilities, to protect health care providers and other patients. However, it is currently unknown whether US hospitals have the telehealth capacity to meet the increasing demand and needs of patients during this pandemic. ObjectiveWe investigated the population-level internet search volume for telehealth (as a proxy of population interest and demand) with the number of new COVID-19 cases and the proportion of hospitals that adopted a telehealth system in all US states. MethodsWe used internet search volume data from Google Trends to measure population-level interest in telehealth and telemedicine between January 21, 2020 (when the first COVID-19 case was reported), and March 18, 2020. Data on COVID-19 cases in the United States were obtained from the Johns Hopkins Coronavirus Resources Center. We also used data from the 2018 American Hospital Association Annual Survey to estimate the proportion of hospitals that adopted telehealth (including telemedicine and electronic visits) and those with the capability of telemedicine intensive care unit (tele-ICU). Pearson correlation was used to examine the relations of population search volume for telehealth and telemedicine (composite score) with the cumulative numbers of COVID-19 cases in the United States during the study period and the proportion of hospitals with telehealth and tele-ICU capabilities. ResultsWe found that US population–level interest in telehealth increased as the number of COVID-19 cases increased, with a strong correlation (r=0.948, P

Little is known about nursing home (NH) financial status in the United States even though most NH care is publicly funded. To address this gap, this descriptive study used 2019 Medicare cost reports to examine NH revenues, expenditures, net income, related-party expenses, expense categories, and capital structure. After a cleaning process for all free-standing NHs, a study population of 11,752 NHs was examined. NHs had total net revenues of US$126 billion and a profit of US$730 million (0.58%) in 2019. When US$6.4 billion in disallowed costs and US$3.9 billion in non-cash depreciation expenses were excluded, the profit margin was 8.84 percent. About 77 percent of NHs reported US$11 billion in payments to related-party organizations (9.54% of net revenues). Overall spending for direct care was 66 percent of net revenues, including 27 percent on nursing, in contrast to 34 percent spent on administration, capital, other, and profits. Finally, NHs had long-term debts that outweighed their total available financing. The study shows the value of analyzing cost reports. It indicates the need to ensure greater accuracy and completeness of cost reports, financial transparency, and accountability for government funding, with implications for policy changes to improve rate setting and spending limits. [ABSTRACT FROM AUTHOR]

The article focuses on the need for innovative, hands-on experiential learning exercises in health administration education to develop student competencies, particularly in healthcare finance. It discusses the challenges posed by the COVID-19 pandemic in providing experiential learning opportunities and emphasizes the importance of integrating financial skills into the competency-based model of health administration education.

Introduction:To examine trends in telemedicine adoption for stroke and cardiac care among U.S. hospitals, specifically associations between hospital financial indicators and adoption of these telemedicine services. Methods:This is a retrospective analysis of data from the Health Information Management and System Society Dorenfest Database and Healthcare Cost Report Information System from 2012 to 2017. We used a pooled ordinary least squares model and reported results as average marginal effects (AMEs). Results:The number of hospitals with stroke or cardiac telemedicine services in urban and rural areas increased through our study period from 153 (7.30%) to 407 (19.42%) and from 127 (6.31%) to 331 (16.45%), respectively. In rural hospitals, being a for-profit hospital (AME = −10.49, 95% confidence interval [CI] = −14.01 to −6.98) and having an increase in Medicare inpatient mix (AME = −0.31, 95% CI = −0.42 to −0.20) were associated with the probability of telemedicine adoption for heart attack and stroke care. A couple of nonfinancial variables included in the model also were associated with adoption, specifically having one more licensed bed (AME = −0.02, 95% CI = −0.04 to −0.00) and higher number of emergency department visits (AME = 5.64, 95% CI = 2.83 to 7.20). In urban hospitals, being a for-profit hospital (AME = −8.94, 95% CI = −11.76 to −6.11) and having a higher total margin (AME = 0.17, 95% CI = 0.08 to 0.26) were associated with the probability of telemedicine adoption for heart attack and stroke care. Two nonfinancial variables also were statistically significant: having one more licensed bed (AME = 0.01, 95% CI = 0.041 to 0.02) and being closer to another telemedicine hospital (AME = 0.81, 95% CI = −1.62 to 0.01). Discussions:Telemedicine adoption rate for cardiac and stroke care has increased significantly in recent years. Financial status may be a bigger driver of adoption for urban hospitals than rural hospitals. [ABSTRACT FROM AUTHOR]

Background: Since 2003, the University of Mississippi Medical Center has operated a robust telehealth emergency department (ED) network, TelEmergency, which enhances access to emergency medicine-trained physicians at participating rural hospitals. TelEmergency was developed as a cost-control measure for financially constrained rural hospitals to improve access to quality, emergency care. However, the literature remains unclear as to whether ED telehealth services can be provided at lower costs compared with traditional in-person ED services. Introduction: Our objective was to empirically determine whether TelEmergency was associated with lower ED costs at rural hospitals when compared with similar hospitals without TelEmergency between 2010 and 2017. Materials and Methods: A panel of data for 2010–2017 was constructed at the hospital level. Hospitals with TelEmergency (n = 14 hospitals; 112 hospital-years) were compared with similar hospitals that did not use TelEmergency from Arkansas, Georgia, Mississippi, and South Carolina (n = 102; 766 hospital-years), matched using Coarsened Exact Matching. The relationship between total ED costs and treatment (e.g., participation in TelEmergency) was predicted using generalized estimating equations with a Poisson distribution, a log link, an exchangeable error term, and robust standard errors. Results: After controlling for ownership type, critical access hospital status, year, and size, TelEmergency was associated with an estimated 31.4% lower total annual ED costs compared with similar matched hospitals that did not provide TelEmergency. Conclusions: TelEmergency utilization was associated with significantly lower total annual ED costs compared with similarly matched hospitals that did not utilize TelEmergency. These findings suggest that access to quality ED care in rural communities can occur at lower costs. [ABSTRACT FROM AUTHOR]

The number of rural hospital mergers has increased substantially in recent years. A commonly reported reason for merging is to increase access to capital. However, no empirical evidence exists to show whether capital expenditures increased at rural hospitals after a merger. We used a difference-in-differences approach to determine whether total capital expenditures changed at rural hospitals after a merger. The comparison group (rural hospitals that did not merge during the 2012 through 2015 study period) was weighted using inverse probability of treatment weights. The key outcome measure was logged total capital expenditures. Merging resulted in a 26% increase in capital expenditures and also was associated with a significant improvement in plant age. The postmerger improvement in plant age may have been partially attributable to merger-related accounting changes and partially attributable to increased capital expenses, possibly on long-term asset renovations and replacement. These findings suggest that through mergers, rural hospital board members and executives who have accepted or are considering a merger may improve a hospital's ability to increase capital expenditures. Further, increased capital investments in rural hospitals may be an important signal to the community that the acquirer intends to keep the rural hospital open and continue providing some volume and level of services within the community. Future research should determine how capital is spent after a merger. [ABSTRACT FROM AUTHOR]