Financial Indicators for Critical Access Hospitals

CONTEXT: There is a growing recognition of the need to measure and report hospital financial performance. However, there exists little comparative financial indicator data specifically for critical access hospitals (CAHs). CAHs differ from other hospitals on a number of dimensions that might affect appropriate indicators of performance, including differences in Medicare reimbursement, limits on bed size and average length of stay, and relaxed staffing rules. PURPOSE: To develop comparative financial indicators specifically designed for CAHs using Medicare cost report data. METHODS: A technical advisory group of individuals with extensive experience in rural hospital finance and operations provided advice to a research team from the University of North Carolina at Chapel Hill. Twenty indicators deemed appropriate for assessment of CAH financial condition were chosen and formulas determined. Issues 1 and 2 of the CAH Financial Indicators Report were mailed to the chief executive officers of 853 CAHs in the summer of 2004 and 1,092 CAHs in the summer of 2005, respectively. Each report included indicator values specifically for their CAH, indicator medians for peer groups, and an evaluation form. FINDINGS: Chief executive officers found the indicators to be useful and the underlying formulas to be appropriate. The multiple years of data provide snapshots of the industry as a whole, rather than trend data for a constant set of hospitals. CONCLUSIONS: The CAH Financial Indicators Report is a useful first step toward comparative financial indicators for CAHs.     

Financial performance monitoring of the technical efficiency of critical access hospitals: a data envelopment analysis and logistic regression modeling approach

From 1980 to 1999, rural designated hospitals closed at a disproportionally high rate. In response to this emergent threat to healthcare access in rural settings, the Balanced Budget Act of 1997 made provisions for the creation of a new rural hospital--the critical access hospital (CAH). The conversion to CAH and the associated cost-based reimbursement scheme significantly slowed the closure rate of rural hospitals. This work investigates which methods can ensure the long-term viability of small hospitals. This article uses a two-step design to focus on a hypothesized relationship between technical efficiency of CAHs and a recently developed set of financial monitors for these entities. The goal is to identify the financial performance measures associated with efficiency. The first step uses data envelopment analysis (DEA) to differentiate efficient from inefficient facilities within a data set of 183 CAHs. Determining DEA efficiency is an a priori categorization of hospitals in the data set as efficient or inefficient. In the second step, DEA efficiency is the categorical dependent variable (efficient = 0, inefficient = 1) in the subsequent binary logistic regression (LR) model. A set of six financial monitors selected from the array of 20 measures were the LR independent variables. We use a binary LR to test the null hypothesis that recently developed CAH financial indicators had no predictive value for categorizing a CAH as efficient or inefficient, (i.e., there is no relationship between DEA efficiency and fiscal performance).     

Intensive Care in Critical Access Hospitals

CONTEXT: Although critical access hospitals (CAHs) have limitations on number of acute care beds and average length of stay, some of them provide intensive care unit (ICU) services. PURPOSE: To describe the facilities, equipment, and staffing used by CAHs for intensive care, the types of patients receiving ICU care, and the perceived impact of closing the ICU on CAH staff and the local community. METHODS: A semistructured interview of directors of nursing at CAHs that provide intensive care services. RESULTS: Two thirds of CAHs that provide intensive care do so in a distinct unit. Most have continuous or computerized electrocardiography and ventilators. Other ICU equipment common in larger hospitals was reported less frequently. Nurse:patient ratio ranged from 1:1 to 1:3, and some or all nursing staff have advanced cardiac life support certification. Most CAHs admit patients to the ICU daily or weekly, primarily treating cardiac, respiratory, gastrointestinal, endocrine, and drug- or alcohol-related conditions. ICUs are also used for postsurgical recovery. Respondents felt that closure of the ICU would be burdensome to patients and families, result in lost revenue, negatively impact staff, and affect the community's perception of the hospital. CONCLUSIONS: Intensive care services provided by CAHs fall along a continuum, ranging from care in a unit that resembles a scaled-down version of ICUs in larger hospitals to care in closely monitored medical-surgical beds. Nurse to patient ratio, not technology, is arguably the defining characteristic of intensive care in CAHs. Respondents believe these services to be important to the well-being of the hospital and of the community.     

The Financial Performance of Rural Hospitals and Implications for Elimination of the Critical Access Hospital Program

Purpose: To compare the financial performance of rural hospitals with Medicare payment provisions to those paid under prospective payment and to estimate the financial consequences of elimination of the Critical Access Hospital (CAH) program. Methods: Financial data for 2004‐2010 were collected from the Healthcare Cost Reporting Information System (HCRIS) for rural hospitals. HCRIS data were used to calculate measures of the profitability, liquidity, capital structure, and financial strength of rural hospitals. Linear mixed models accounted for the method of Medicare reimbursement, time trends, hospital, and market characteristics. Simulations were used to estimate profitability of CAHs if they reverted to prospective payment. Findings: CAHs generally had lower unadjusted financial performance than other types of rural hospitals, but after adjustment for hospital characteristics, CAHs had generally higher financial performance. Conclusions: Special payment provisions by Medicare to rural hospitals are important determinants of financial performance. In particular, the financial condition of CAHs would be worse if they were paid under prospective payment.     

Adoption and perceived effectiveness of financial improvement strategies in critical access hospitals

Purpose: To ascertain the use and perceived success of strategies to improve the financial performance of Critical Access Hospitals (CAHs). Methods: Information about the use and perceived effectiveness of 44 specific strategies to improve financial performance was collected from an online survey of 291 CAH Chief Executive Officers and Chief Financial Officers. Responses were merged with financial and operational characteristics of the respondents’ hospitals obtained from Medicare cost reports. Use rates and perceived success and failure were calculated for each strategy. A cluster analysis was applied to classify strategies based on their use and success. Finally, CAH characteristics were examined to predict the use of individual strategies. Findings: Financial improvement strategies are pervasive among CAHs. The administrators who responded to the survey in this study reported using an average of 17.0 of the maximum 44 strategies listed in the survey questionnaire. Revenue/cost, human resource, and capital strategies were more frequently used than service expansion and reduction strategies. Overall, CAH characteristics did not explain the use or perceived success of specific strategies, but they did partially predict the number of strategies attempted. Conclusions: CAH administrators have used multiple strategies to improve financial performance with a wide variety of reported success. More research into the effectiveness of specific interventions is needed to help administrators select evidence‐based strategies.     

The Role of Critical Access Hospital Status in Mitigating the Effects of New Prospective Payment Systems Under Medicare

This article examines rural hospitals that potentially qualify as critical access hospitals (CAH) and identifies facilities at substantial financial risk as a result of Medicare's expansion of prospective payment systems (PPS) to nonacute settings. Using Health Care Financing Administration (HCFA) cost reports from the federal year ending Sept. 30, 1996, combined with county-level sociodemographic data from the Area Resource File (ARF), characteristics of potential CAHs were identified and their finances analyzed to determine whether they could benefit from the cost-based reimbursement rules applicable to CAH status. Rural hospitals were identified as potential CAHs if they met a combination of federal and state criteria for necessary providers. Rural facilities were classified as "at risk" if they had poor financial ratios in conjunction with high levels of dependence on outpatient, home-care or skilled nursing services. Almost 30 percent of all rural hospitals were identified as potential CAHs. Ninety percent of potential CAH facilities were identified as "at risk" by at least one of five possible risk criteria, and one-third were identified by at least three. Of those classified "at risk," 48 percent might not benefit from conversion to CAH because their inpatient Medicare reimbursement would likely be less under CAH payment rules than under their current PPS payment rules. Many potential CAHs were doing well under inpatient PPS because they were sole community hospitals (SCH) and were therefore eligible for special adjustments to the PPS rates. The Rural Hospital Flexibility Act would be more beneficial to the population of isolated rural hospitals if those eligible for both CAH and SCH status were given the option of retaining their SCH inpatient payment arrangements while still qualifying for outpatient cost-based reimbursement.     

A Comparative Study of Financial Data Sources for Critical Access Hospitals: Audited Financial Statements,the Medicare Cost Report,and the Internal Revenue Service Form 990

Purpose: Medicare Cost Reports (MCR), Internal Revenue Service Form 990s (IRS 990), and Audited Financial Statements (AFS) vary in their content, detail, purpose, timeliness, and certification. The purpose of this study was to compare selected financial data elements and characterize the extent of differences in financial data and ratios across the MCR, IRS 990, and AFS for a sample of nonprofit Critical Access Hospitals (CAHs). Methods: Line items from AFS of 47 CAHs were compared to data reported in the hospitals’ MCR and IRS 990s. Line items were based on 9 financial indicators commonly used to assess hospital financial performance. Findings: Of the indicators examined, the equity financing ratio most frequently matched between the 3 reports, while salaries and benefits to total expenses and debt service coverage were often different. Variances were driven by differences in individual account balances used to construct the ratios. Relative to AFS, cash was frequently lower on the IRS 990 while marketable securities and unrestricted investments were often higher. Other revenue and net income were consistently lower on the MCR and IRS 990, and depreciation was often higher on the MCR. The majority of total assets and fund balance (equity) values matched across the 3 reports, suggesting differences in classification among detailed accounts were more common than variances between the component totals (total assets, total liabilities, and fund balance). Conclusions: Health policy researchers should consider the impact of these variances on study results and consider ways to improve the availability and quality of financial accounting information.     

Measuring the Performance of Critical Access Hospitals in Missouri Using Data Envelopment Analysis

Purpose: Rural hospitals are critical for access to health care, and for their contributions to local economies. However, many rural hospitals, especially critical access hospitals (CAHs) need to strive for more efficiency for continued viability. Routinely evaluating their performance, and providing feedback to management and policy makers, is therefore important. Method: Three measures of relative efficiency are estimated for CAHs in Missouri using an Input‐oriented Data Envelopment Analysis with a variable returns to scale assumption and compared with the efficiency of other rural hospitals in Missouri using Banker's F‐test. Using 30‐day readmission rate as a measure of quality, CAHs are evaluated against efficiency‐quality dimensions. Findings: CAHs in Missouri had a slight decline in average technical efficiency, but they had a slight gain in average cost efficiency in 2009 compared to 2006. More than half of the CAHs were neither economically nor technically efficient in both years. The relative efficiency of other rural hospitals was statistically higher than that of CAHs in Missouri. Conclusions: This study validates the finding of relative inefficiency of CAHs compared to other hospitals paid under the Prospective Payment System at a state level (Missouri). However, with considerable variation in socioeconomic as well as health care access indicators across states, a relative efficiency frontier may not be the only relevant indicator of value for the evaluation of the performance of CAHs. Access to health care and the impact on the local economy provided by these CAHs to the community are also critical indicators for more comprehensive performance evaluation.     

Factors Associated with Iowa Rural Hospitals' Decision to Convert to Critical Access Hospital Status

ABSTRACT:  Context: The Balanced Budget Act (BBA) of 1997 allowed some rural hospitals meeting certain requirements to convert to Critical Access Hospitals (CAHs) and changed their Medicare reimbursement from prospective to cost-based. Some subsequent CAH-related laws reduced restrictions and increased payments, and the number of CAHs grew rapidly. Purpose: To examine factors related to hospitals' decisions to convert and time to CAH conversion. Methods: Eighty-nine rural hospitals in Iowa were characterized and observed from 1998 to 2005. Cox proportional hazards models were used to identify the determinants of time to CAH conversion. Findings: T-test and one-covariate Cox regression indicated that, in 1998, Iowa rural hospitals with more staffed beds, discharges, and acute inpatient days, higher operating margin, lower skilled swing bed days relative to acute days, and located in relatively high density counties were more likely to convert later or not convert before 2006. Multiple Cox regression with baseline covariates indicated that lower number of discharges and average length of stay (ALOS) were significant after controlling all other covariates. Conclusion: Iowa rural hospitals' decisions regarding CAH conversion were influenced by hospital size, financial condition, skilled swing bed days relative to acute days, length of stay, proportion of Medicare acute days, and geographic factors. Although financial concerns are often cited in surveys as the main reason for conversion, lower number of discharges and ALOS are the most prominent factors affecting rural hospitals' decision on when to convert.     

Choosing to convert to critical access hospital status

The authors profile facilities converting to critical access hospitals (CAHs) from 1998-2000, comparing characteristics of their communities, operations, and finances to those of other small rural providers. Counties where CAHs are located are more sparsely populated, but do not have substantially different sociodemographic profiles than other rural counties. Converting hospitals' acute daily census averaged well below the statutory limit of 15, but over one-half reduced unused bed capacity to meet CAH size limitations. The average case-mix adjusted Medicare cost per case was 16-percent higher for CAH converters than for other small hospitals and their financial ratios were substantially worse, although many other operating characteristics were similar.     

Meaningful Use of Health Information Technology by Rural Hospitals

Purpose: This study examines the current status of meaningful use of health information technology (IT) in Critical Access Hospitals (CAHs), other rural, and urban US hospitals, and it discusses the potential role of Medicare payment incentives and disincentives in encouraging CAHs and other rural hospitals to achieve meaningful use. Methods: Data from the American Hospital Association (AHA) Annual Survey IT Supplement were analyzed, using t tests and probit regressions to assess whether implementation rates in CAHs and other rural hospitals are significantly different from rates in urban hospitals. Findings: Of the many measures we examined, only 4 have been met by a majority of rural hospitals: electronic recording of patient demographics and electronic access to lab reports, radiology reports, and radiology images. Meaningful use is even less prevalent among CAHs. We also find that rural hospitals lag behind urban institutions in nearly every measure of meaningful use. These differences are particularly large and significant for CAHs. Conclusion: The meaningful use incentive system creates many challenges for CAHs. First, investments are evaluated and subsidies determined after adoption. Thus, CAHs must accept financial risk when adopting health IT; this may be particularly important for large expenditures. Second, the subsidies may be low for relatively small expenditures. Third, since the subsidies are based on observable costs, CAHs will receive no support for their intangible costs (eg, workflow disruption). A variety of policies may be used to address these problems of financial risk, uncertain returns in a rural setting, and limited resources.     

Critical Access Hospitals and Retail Activity: An Empirical Analysis in Oklahoma

Purpose: This paper takes an empirical approach to determining the effect that a critical access hospital (CAH) has on local retail activity. Previous research on the relationship between hospitals and economic development has primarily focused on single‐case, multiplier‐oriented analysis. However, as the efficacy of federal and state‐level rural health subsidies come under increasing scrutiny, more comprehensive investigations can provide support for continued funding. Methods: Data from 105 rural Oklahoma communities are used to explore whether the presence of a CAH impacts several measures of retail activity. The measures are: total retail sales, total number of retail establishments, and number of micro and small retail establishments. Ordinary least squares regression is used to evaluate the impact of a CAH after controlling for a host of other factors influencing retail activity such as local demographics, unemployment rates, and the presence of a Wal‐Mart. Findings: The presence of a CAH has a positive and significant influence on each measure of retail activity. The parameter estimates suggest that a CAH has a similar influence on rural retail sales as a Wal‐Mart, increasing total retail sales by approximately 28% over towns without a CAH. Other model results indicate that a CAH presence significantly increases the number of total retail establishments and the number of micro and small business establishments. Conclusions: The positive results provide additional evidence on the far‐reaching economic development impacts of CAHs. The results also emphasize the importance of continued support for these rural institutions, including federal and state subsidies.     

What Is the Impact of Health Reforms on Uncompensated Care in Critical Access Hospitals? A 5‐Year Forecast in Washington State

Context: The 2008 financial crisis had a far‐reaching impact on nearly every sector of the economy. As unemployment increased so did the uninsured. Already operating on a slim margin and poor payer mix, many critical access hospitals are facing a tough road ahead. Purpose: We seek to examine the increasing impact of uncompensated care on the revenues earned by Washington's critical access hospitals; to forecast uncompensated care to the year 2014; and to forecast the financial impact on rural hospital uncompensated care of HR 3590, the Affordable Care Act (ACA). Findings: For critical access hospitals in the state of Washington, total uncompensated care increased by almost $16 million, a 22% increase from 2008 to 2009. By 2014, total uncompensated care is forecast to more than double from 2009, totaling $174 million annually without health reforms. Using the Urban Institute's Health Insurance Policy Simulation Model, uncompensated care is forecast to fall by $106 million in 2014, thereby reducing the uncompensated care percentage from 5.31% to 2.07%. Conclusions: Policy makers and health care managers should note that a substantial portion of the newly insured from the ACA will most likely be Medicaid participants. Given this source of lower revenue per case, critical access hospital administrators should seek additional public and private sources of revenue. Most importantly, rural hospital managers must maintain or improve their cost efficiency, while serving the needs of their rural population as we move closer toward the implementation of health reforms.     

Quality Improvement Strategies and Best Practices in Critical Access Hospitals

ABSTRACT: Context: Critical access hospitals (CAHs) face many challenges in implementing quality improvement (QI) initiatives, which include limited resources, low volume of patients, small staffs, and inadequate information technology. A primary goal of the Medicare Rural Hospital Flexibility Program is to improve the quality of care provided by CAHs. Purpose: This article describes key quality improvement initiatives for a national sample of CAHs that are actively involved in implementing quality-related initiatives in collaboration with support hospitals and statewide organizations. Methods: Researchers conducted a national telephone survey of 72 CAHs and 2 in-depth case studies of CAHs. Findings: The survey and case studies demonstrate that many CAHs are successfully implementing QI activities, including patient safety initiatives, improvements in overall QI processes and peer review processes, and implementation of QI projects focused on treatment of 1 or more specific diseases. The CAHs are involved with multiple external organizations in these activities. The administrators of the 2 case study CAHs have made QI a priority for their hospitals; ensured that resources are available for QI activities; and worked with their support hospitals, statewide organizations, and other CAHs to develop and implement rural-relevant QI initiatives. Conclusions: Cost-based Medicare reimbursement has been a key factor in the ability of CAHs to fund additional staff, staff training, and equipment to improve patient care. The commitment of hospital leaders and key staff is a crucial factor in moving QI initiatives forward in CAHs.     

How do skilled nursing rehabilitation managers track efficiency and costs?

Financial and efficiency indicators have not been used extensively by skilled nursing (SNF) rehabilitation managers, but may prove useful in the prospective payment system (PPS)-dominated long-term care (LTC) environment. The purpose of this pilot study was to demonstrate a method for measuring the extent of SNF rehabilitation managers' use of volume, revenue, cost, and manpower indicators; and whether usages differ among occupational, physical, and speech therapy managers. The subjects were 74 occupational, 75 physical, and 72 speech therapy managers employed by a multinational health care corporation. A total of 221 Likert scale surveys were mailed to SNF rehabilitation managers to obtain data on use of 32 efficiency and financial indicators. The 32 indicators were in four categories: visit volume, revenue, costs, and manpower utilization. Twelve indicators were used regularly by at least 60% and three were used regularly by 85-100% of respondents. The response rate was 17.89%. Chi-square analyses were performed for therapy discipline and response frequency. None was significant at 0.05. Three of the payermix indicators demonstrated post-hoc significance in "regular" or "sometimes" use by the physical therapy managers. The results show discipline-specific differences among LTC rehabilitation managers in the extents of efficiency and financial indicator usage for decision making. Suggestions for future use of the survey instrument are provided. The method proved useful for demonstrating differences in the combinations and degrees of use of the 32 indicators. The results point to a need to educate SNF rehabilitation managers in cost-monitoring techniques. Recommendations for cost monitoring are provided.     

Use of Critical Access Hospital Emergency Rooms by Patients With Mental Health Symptoms

CONTEXT: National data demonstrate that mental health (MH) visits to the emergency room (ER) comprise a small, but not inconsequential, proportion of all visits; however, we lack a rural picture of this issue. PURPOSE: This study investigates the use of critical access hospital (CAH) ERs by patients with MH problems to understand the role these facilities play in rural MH needs and the challenges they face. METHODS: Primary data were collected through the combination of a telephone survey and ER visit logs. Our sampling frame was the universe of CAHs at the time the survey was fielded. KEY FINDINGS: About 43% of CAHs surveyed operate in communities with no MH services, while 9.4% of all logged visits were by patients identified as having some type of MH problem. The most common problems identified were affective disorders, substance abuse, anxiety, and psychotic disorders. Only 32% of CAHs have access to on-site detoxification and 2% have inpatient psychiatric services, meaning that patients in need of these services typically must leave their communities to gain treatment. CONCLUSIONS: The lack of community resources may impact CAHs' ability to assist patients with MH problems. Among those with a primary MH condition, 21% left the ER with no or unknown treatment, as did 51% of patients whose MH condition was secondary to their emergent problem. Patients in need of detoxification or inpatient psychiatric services often must travel over an hour to obtain these services, potentially creating significant issues for themselves and their families.     

The impact of Medicare shared savings program participation on hospital financial performance: An event-study analysis

Objective

To evaluate the impact of hospitals' participation in the Medicare Shared Savings Program (MSSP) on their financial performance.

Data Sources

Centers for Medicare & Medicaid Services Hospital Cost Reports and MSSP Accountable Care Organizations (ACO) Provider-Level Research Identifiable File from 2011 to 2018.

Study Design

We used an event-study design to estimate the temporal effects of MSSP participation on hospital financial outcomes and compared within-hospital changes over time between MSSP and non-MSSP hospitals while controlling for hospital and year fixed effects and organizational and service-area characteristics. The following financial outcomes were evaluated: outpatient revenue, inpatient revenue, net patient revenue, Medicare revenue, operating margin, inpatient revenue share, Medicare revenue share, and allowance and discount rate.

Data Collection/Extraction Methods

Secondary data linked at the hospital level.

Principal Findings

Controlling for trends in non-MSSP hospitals, MSSP participation was associated with differential increases in net patient revenue by $3.28 million (p < 0.001), $3.20 million (p < 0.01), and $4.20 million (p < 0.01) in the second, third, and fourth year and beyond after joining MSSP, respectively. Medicare revenue differentially increased by $1.50 million (p < 0.05), $2.24 million (p < 0.05), and $4.47 million (p < 0.05) in the first, second, and fourth year and beyond. Inpatient revenue share differentially increased by 0.29% (p < 0.05) in the second year and 0.44% (p < 0.05) in the fourth year and beyond. Medicare revenue share differentially increased by 0.17% (p < 0.01), 0.25% (p < 0.01), 0.32% (p < 0.01), and 0.41% (p < 0.01) in consecutive years following MSSP participation. MSSP participation was associated with 0.33% (p < 0.05) and 0.39% (p < 0.05) differential reduction in allowance and discount rate in the second and third years.

Conclusions

MSSP participation was associated with differential increases in net patient revenue, Medicare revenue, inpatient revenue share, and Medicare revenue share, and a differential reduction in allowance and discount rate.