Rural Hospitals Experienced More Patient Volume Variability Than Urban Hospitals During The COVID-19 Pandemic, 2020-21

Fluctuations in patient volume during the COVID-19 pandemic may have been particularly concerning for rural hospitals. We examined hospital discharge data from the Healthcare Cost and Utilization Project State Inpatient Databases to compare data from the COVID-19 pandemic period (March 8, 2020-December 31, 2021) with data from the prepandemic period (January 1, 2017-March 7, 2020). Changes in average daily medical volume at rural hospitals showed a dose-response relationship with community COVID-19 burden, ranging from a 13.2 percent decrease in patient volume in periods of low transmission to a 16.5 percent increase in volume in periods of high transmission. Overall, about 35 percent of rural hospitals experienced fluctuations exceeding 20 percent (in either direction) in average daily total volume, in contrast to only 13 percent of urban hospitals experiencing similar magnitudes of changes. Rural hospitals with a large change in average daily volume were more likely to be smaller, government-owned, and critical access hospitals and to have significantly lower operating margins. Our findings suggest that rural hospitals may have been more vulnerable operationally and financially to volume shifts during the pandemic, which warrants attention because of the potential impact on these hospitals' long-term sustainability.

Medications for Opioid Use Disorder During the Prenatal Period and Infant Outcomes

This cross-sectional study explores the association between mothers’ receipt of opioid use disorder treatment during pregnancy and their infants’ health services use in the first year of life.

Medicare Advantage in rural areas: implications for hospital sustainability

OBJECTIVES

A growing number of Medicare beneficiaries in rural areas are enrolled in Medicare Advantage plans, which negotiate hospital reimbursement. This study examined the association between Medicare Advantage penetration levels in rural areas and hospital financial distress and closure.

STUDY DESIGN

This retrospective cohort study followed rural general acute care hospitals open in 2008 through 2019 or until closure using Healthcare Cost and Utilization Project State Inpatient Databases for 14 states.

METHODS

The primary independent variables were the percentage of Medicare Advantage stays out of total Medicare stays at the hospital and the percentage of Medicare Advantage beneficiaries out of total beneficiaries in the hospital's county. Financial distress was defined using the Altman Z score, where values less than or equal to 1.1 indicate financial distress and values greater than 2.8 indicate stability. The Z score was examined as a continuous outcome in hospital and county fixed-effects models. Risk of closure was examined using Cox proportional hazard models adjusted for hospital and market factors.

RESULTS

Rural hospital Medicare Advantage penetration grew from 6.5% in 2008 to 20.6% in 2019. A 1-percentage point increase in hospital penetration was associated with an increase in financial stability of 0.04 units on the Altman Z score (95% CI, 0.00-0.08; P = .03) and a 4% reduction in risk of closure (HR, 0.96; 95% CI, 0.92-1.00; P = .04). Results were consistent when measuring Medicare Advantage penetration at the county level.

CONCLUSIONS

Our findings counter the notion that Medicare Advantage plans financially hurt rural hospitals because they pay less generously than traditional Medicare.

Risk of Closure Among Independent and Multihospital-Affiliated Rural Hospitals

Question

Is affiliation with another hospital or multihospital system associated with lower risk of closure in rural areas?

Findings

In this 13-year cohort study from 2007 to 2019 among rural US hospitals that faced financial distress in 2007, affiliation was associated with a lower risk of closure compared with being independent. Conversely, among hospitals with financial stability in 2007, affiliation was associated with a higher risk of closure compared with being independent.

Meaning

The study results suggest that affiliation may protect some financially distressed rural hospitals from closure, but the higher risk of closure among hospitals that were initially financially stable potentially raises concerns about the consequences of affiliation for some types of hospitals.

Importance

The increase in rural hospital closures has strained access to inpatient care in rural communities. It is important to understand the association between hospital system affiliation and access to care in these communities to inform policy on this issue.

Objective

To examine the association between affiliation and rural hospital closure.

Design, Setting, and Participants

This cohort study used survival models with a time-dependent variable for affiliation vs independent status to assess risk of closure among a national cohort of US rural hospitals from January 2007 through December 2019. Data analysis was conducted from March to October 2021. Hospital affiliations were identified from the American Hospital Association Annual Survey and Irving Levin Associates and closures from the University of North Carolina Sheps Center (Chapel Hill). Additional covariates came from the Healthcare Cost and Utilization Project State Inpatient Databases and other national sources.

Exposures

Affiliation with another hospital or multihospital health system.

Main Outcomes and Measures

Closure was the main outcome. The models included hospital, market, and utilization characteristics and were stratified by financial distress in 2007.

Results

Among 2237 rural hospitals operating in 2007, 140 (6.3%) had closed by 2019. The proportion of rural hospitals that were independent decreased from 68.9% in 2007 to 47.0% in 2019; the proportion that were affiliated increased from 31.1% to 46.7%. Among financially distressed hospitals in 2007, affiliation was associated with lower risk of closure compared with being independent (adjusted hazard ratio [aHR], 0.49; 95% CI, 0.26-0.92). Conversely, among hospitals that were financially stable in 2007, affiliation was associated with higher risk of closure compared with being independent (aHR, 2.36; 95% CI, 1.20-4.62). For-profit ownership was also strongly associated with closure for hospitals that were financially stable in 2007 (aHR, 4.08; 95% CI, 1.86-8.97).

Conclusions and Relevance

The results of this cohort study suggest that affiliations may be associated with lower risk of closure for some rural hospitals in financial distress. However, among initially financially stable hospitals, an increased risk of closure for hospitals associated with affiliation and proprietary ownership raises concerns about the association of affiliation with closures in some circumstances. Policy interventions to stabilize inpatient care in rural areas should account for these findings.

Access To Obstetric, Behavioral Health, And Surgical Inpatient Services After Hospital Mergers In Rural Areas

Despite rural hospitals' central role in their communities, they are increasingly in financial distress and may merge with other hospitals or health systems, potentially reducing service lines that are less profitable or duplicative of services that the acquirer also offers. Using hospital discharge data from thirty-two Healthcare Cost and Utilization Project State Inpatient Databases from the period 2007-18, we examined the influence of rural hospital mergers on changes to inpatient service lines at hospitals and within their catchment areas. We found that merged hospitals were more likely than independent hospitals to eliminate maternal/neonatal and surgical care. Whereas the number of mental/substance use disorder-related stays decreased or remained stable at merged hospitals and within their catchment areas, it increased for unaffiliated hospitals and their catchment areas, indicating a potential unmet need in the communities of rural hospitals postmerger. Although a merger could salvage a hospital's sustainability, it also could reduce service lines and responsiveness to community needs.

Cost Offsets of Treatment for Serious Mental Illness and Substance Use Disorder

OBJECTIVE

The authors examined whether timely treatment for serious mental illness and substance use disorder reduces overall health care costs in a 3-year period.

METHODS

Claims data from the IBM MarketScan Research Databases (2010-2017) were analyzed. The population studied included 2,997 Medicaid enrollees and 35,805 commercial insurance enrollees ages 18-64 years with an index event for a serious mental illness and 2,315 Medicaid enrollees and 28,419 commercial insurance enrollees with an index event for a substance use disorder. Health care costs in the 3 years after an index event were calculated for enrollees who received care that met a minimum threshold for treatment and for those who did not receive such care. The Toolkit for Weighting and Analysis of Nonequivalent Groups was used to control for statistically significant differences in pretreatment characteristics between the groups.

RESULTS

All health care spending for enrollees who were engaged in behavioral health treatment for substance use disorder or a serious mental illness increased from year 0 to year 1 but decreased faster than the spending of enrollees who were not engaged in treatment, with larger trends for those engaged in substance use disorder treatment. Expenses for inpatient and emergency department care decreased over the 3 follow-up years; however, spending on outpatient services was significantly higher in all 3 follow-up years for those engaged in treatment.

CONCLUSIONS

Health care delivery and payment models that improve access to behavioral health treatment may reduce emergency department, inpatient, and overall health care costs for particular subpopulations.

Adverse events among adult Medicaid enrollees with opioid use disorder and co-occurring substance use disorders

BACKGROUND

It is common for adults with opioid use disorder (OUD) to misuse additional substances, and these individuals may be particularly at risk for adverse events, including mortality. Less is known about how continued receipt of prescription opioids or risk of adverse events (e.g., suicidality, overdose, poisoning) differs for people with co-occurring OUD and additional substance use disorders (SUDs).

METHODS

We conducted a retrospective study using IBM® MarketScan® Multi-State Medicaid Database enrollment/claims data. We used logistic regression to measure the association between sample characteristics and our dependent variables. The sample consisted of non-Medicare-eligible adults aged 18-64 years who were continuously enrolled in Medicaid in 2016-2017 with an OUD diagnosis on at least one claim in 2016.

RESULTS

Adults with OUD and a co-occurring SUD were more likely than adults with OUD only to have an opioid-related poisoning event (odds ratio [OR] = 1.488, p = .0052), all-cause poisoning (OR = 1.756, p < .0001), or suicidal ideation (OR = 1.796, p < .0001) but not to receive ongoing opioid prescriptions (OR = 0.973, p = .1626). Adverse events varied by OUD-SUD combination. For example, adults with OUD and cocaine use disorder had the highest odds of all-cause (OR = 2.393, p < .0001) or opioid-related (OR = 1.890, p = .0027) poisoning among those with a drug-specific diagnosis and were most likely to be diagnosed with suicidal ideation (OR = 2.465, p < .0001).

CONCLUSIONS

This study provides evidence that adults with OUD and a co-occurring additional SUD have increased risk for several adverse events. Multisubstance use should be screened for and identified to determine the most appropriate course of treatment.

Lean Management and Hospital Performance: Adoption vs. Implementation

BACKGROUND

The Lean management system is being adopted and implemented by an increasing number of US hospitals. Yet few studies have considered the impact of Lean on hospitalwide performance.

METHODS

A multivariate analysis was performed of the 2017 National Survey of Lean/Transformational Performance Improvement in Hospitals and 2018 publicly available data from the Agency for Healthcare Research and Quality and the Center for Medicare & Medicaid Services on 10 quality/appropriateness of care, cost, and patient experience measures.

RESULTS

Hospital adoption of Lean was associated with higher Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) patient experience scores (b = 3.35, p < 0.0001) on a scale of 100-300 but none of the other 9 performance measures. The degree of Lean implementation measured by the number of units throughout the hospital using Lean was associated with lower adjusted inpatient expense per admission (b = -38.67; p < 0.001), lower 30-day unplanned readmission rate (b = -0.01, p < 0.007), a score above the national average on appropriate use of imaging-a measure of low-value care (odds ratio = 1.04, p < 0.042), and higher HCAHPS patient experience scores (b = 0.12, p < 0.012). The degree of Lean implementation was not associated with any of the other 6 performance measures.

CONCLUSION

Lean is an organizationwide sociotechnical performance improvement system. As such, the actual degree of implementation throughout the organization as opposed to mere adoption is, based on the present findings, more likely to be associated with positive hospital performance on at least some measures.

Utilization of treatment by Medicaid enrollees with opioid use disorder and co-occurring substance use disorders

BACKGROUND

Multiple substance use is common among adults who misuse opioids. Adverse consequences of drugs are more severe among multisubstance users than among single drug users. This study sought to determine whether adults with opioid use disorder (OUD) and at least one other substance use disorder (SUD) are less likely than adults with OUD only to receive certain services.

METHODS

We conducted a retrospective longitudinal study using the IBM® MarketScan® Multi-State Medicaid Database. We used logistic regression to measure associations between clinical characteristics and service utilization. The sample included non-Medicare-eligible adults aged 18-64 years with at least one claim in 2016 with a primary diagnosis of OUD who were continuously enrolled in Medicaid in 2016 and 2017.

RESULTS

Of the 58,745 Medicaid enrollees with an initial OUD diagnosis in 2016, 29,267 had one or more additional SUD diagnoses. In the year following diagnosis, these adults were less likely than adults with OUD only to receive OUD medication treatment (OR = 0.88, p < .0001). This was true for all specifically diagnosed co-occurring SUDS. Adults with OUD and a co-occurring SUD, however, were more likely than those with OUD only to use any type of high-intensity services.

CONCLUSIONS

Adults with OUD and at least one co-occurring SUD received more intensive services, which may reflect severity and lack of OUD medication treatment before misuse escalation. Programs should account for barriers to connecting these individuals to appropriate OUD treatment.

Ten Modifiable Health Risk Factors and Employees' Medical Costs-An Update

PURPOSE

To estimate the relationship between employees' health risks and health-care costs to inform health promotion program design.

DESIGN

An observational study of person-level health-care claims and health risk assessment (HRA) data that used regression models to estimate the relationship between 10 modifiable risk factors and subsequent year 1 health-care costs.

SETTING

United States.

PARTICIPANTS

The sample included active, full-time, adult employees continuously enrolled in employer-sponsored health insurance plans contributing to IBM MarketScan Research Databases who completed an HRA. Study criteria were met by 135 219 employees from 11 employers.

MEASURES

Ten modifiable risk factors and individual sociodemographic and health characteristics were included in the models as independent variables. Five settings of health-care costs were outcomes in addition to total expenditures.

ANALYSIS

After building the analytic file, we estimated generalized linear models and conducted postestimation bootstrapping.

RESULTS

Health-care costs were significantly higher for employees at higher risk for blood glucose, obesity, stress, depression, and physical inactivity (all at P < .0001) than for those at lower risk. Similar cost differentials were found when specific health-care services were examined.

CONCLUSION

Employers may achieve cost savings in the short run by implementing comprehensive health promotion programs that focus on decreasing multiple health risks.

Opioid prescribing rates from the emergency department: Down but not out

INTRODUCTION

To examine opioid prescribing rates following emergency department (ED) discharge stratified by patient's clinical and demographic characteristics over an 11-year period.

MATERIAL AND METHODS

We used 3.9 million ED visits from commercially insured enrollees and 15.2 million ED visits from Medicaid enrollees aged 12 to 64 over 2005-2016 from the IBM® MarketScan® Research Databases. We calculated rates of opioid prescribing at discharge from the ED and the average number of pills per opioid prescription filled.

RESULTS

Approximately 15-20% of ED visits resulted in opioid prescriptions filled. Rates increased from 2005 into late 2009 and 2010 and then declined steadily through 2016. Prescribing rates were similar for commercially insured and Medicaid enrollees. Being aged 25-54 years was associated with the highest rates of opioid prescriptions being filled. Hydrocodone was the most commonly prescribed opioid, but rates for hydrocodone prescription filling also fell the most. Rates for oxycodone were stable, and rates for tramadol increased. The average number of pills dispensed from prescriptions filled remained steady over the study period at 18-20.

DISCUSSION

Opioid prescribing rates from the ED have declined steadily since 2010 in reversal of earlier trends; however, about 15% of ED patients still received opioid prescriptions in 2016 amidst a national opioid crisis.

CONCLUSIONS

Efforts to reduce opioid prescribing could consider focusing on the pain types, age groups, and regions with high prescription rates identified in this study.

Potentially Problematic Opioid Prescriptions Among Individuals With Private Insurance and Medicaid

OBJECTIVE

Opioid analgesics can be safe and effective when used properly. Reducing prescriptions that increase adverse outcomes is a focus for addressing the opioid crisis. In this study, the rate of potentially problematic opioid prescriptions was examined over 11 years in a large sample of U.S. patients.

METHODS

Claims from the IBM MarketScan commercial database (about 45 million) and multistate Medicaid database (about 7 million) from 2005 to 2015 were used to calculate rates of the following potentially problematic prescription practices: prescriptions for high-dose opioids for 90 days or more, prescriptions from multiple providers, prescriptions of long-acting or extended-release opioids for acute pain, overlap between prescriptions for opioids, and overlap between prescriptions for opioids and benzodiazepines.

RESULTS

Among patients with an opioid prescription, about 8% of those with private insurance and about 14% of those with Medicaid coverage had at least two incidents of potentially problematic prescriptions per year. Over the study period, rates increased for some practices (opioid-benzodiazepine overlap) and decreased for others (prescriptions from multiple providers). Receipt of potentially problematic prescriptions was higher among older patients, female patients with private insurance, and whites and male patients covered by Medicaid.

CONCLUSIONS

A significant percentage of patients who are prescribed opioids experience problematic prescription practices. Targeted policy and clinical interventions that reduce potentially problematic prescription could be a focus for addressing the U.S. opioid crisis.

Factors that Affect Choice of Mental Health Provider and Receipt of Outpatient Mental Health Treatment

According to the US Department of Health and Human Services, 91 million adults live in mental health professional shortage areas and 10 million individuals have serious mental illness (SMI). This study examines how the supply of psychiatrists, severity of mental illness, out-of-pocket costs, and health insurance type influence patients' decisions to receive treatment and the type of provider chosen. Analyses using 2012-2013 MarketScan Commercial Claims data showed that patients residing in an area with few psychiatrists per capita had a higher predicted probability of not receiving follow-up care (46.4%) compared with patients residing in an area with more psychiatrists per capita (42.5%), and those in low-psychiatrist-supply areas had a higher predicted probability of receiving prescription medication only (10.2 vs 7.6%). Patients with SMI were more likely than those without SMI to obtain treatment. A $25 increase in out-of-pocket costs had marginal impact on patients' treatment choices.

Opioid Use Disorder and Prescribed Opioid Regimens: Evidence from Commercial and Medicaid Claims, 2005-2015

INTRODUCTION

In response to the US opioid crisis, interventions are being implemented to lower opioid prescribing to reduce opioid misuse and overdose. As opioid prescribing falls, opioid misuse may shift from prescriptions to other, possibly illicit, sources. We examined how the percentage of patients with an opioid use disorder (OUD) diagnosis in a given year without a current opioid prescription changed over a decade among commercially insured enrollees and Medicaid beneficiaries. We also examined how the percentages differed by enrollee demographic factors.

METHODS

We used commercial and Medicaid claims from the IBM MarketScan® databases from 2005 to 2015 to identify enrollees with and without current opioid prescriptions who have been diagnosed with OUD. We measured the percentage of enrollees with OUD without a current opioid prescription by year and demographic factors.

RESULTS

We identified 99,396 enrollee-years with OUD covered by commercial insurance and 60,492 enrollee-years with OUD covered by Medicaid. Among enrollees with OUD, the percentage without a current opioid prescription increased from 37% in 2005 to 49% in 2012 before falling back to 39% in 2015 in the commercial population, and increased from 32% in 2005 to 38% in 2015 in the Medicaid population. Differences in percentages were observed by age, sex, race, and region, particularly among young people where 70 to 89% had OUD without a current prescription.

CONCLUSIONS

Most enrollees with OUD in the data had current opioid prescriptions, suggesting that continuing efforts to reduce misuse of prescribed opioids among patients with prescriptions may be effective. However, a substantial percentage of enrollees with OUD may be obtaining opioids via other, likely illegitimate, channels, particularly younger people, which suggests an opportunity for targeted efforts to reduce opioid diversion.

The Stock Performance of American Companies Investing in a Culture of Health

Purpose:

We investigated the relationship between companies’ efforts to build internal (COH-INT) and external cultures of health (COH-EXT) and their stock performance.

Design:

We administered 2 surveys, which measure companies’ programs, policies, and supports for improving the health of their employees and communities. We then compared the companies’ stock performance to the Standard and Poor’s (S&P) 500 Index from January 2013 through August 2017.

Setting:

United States.

Participants:

Representatives from 17 publicly traded companies who completed the COH-INT survey, of whom 14 also completed the COH-EXT.

Measures:

Culture of health scores were dichotomized into high versus low for both surveys. Stock price data for all companies were gathered from public sources.

Analysis:

We constructed 5 stock portfolios: all 17 companies, high COH-INT, low COH-INT, high COH-EXT, and low COH-EXT companies. We examined total returns for each portfolio compared to the S&P 500.

Results:

High COH-INT companies’ stock price appreciated by 115% compared to the S&P benchmark (+69%), while low COH-INT companies appreciated only 43%. In contrast, high COH-EXT companies underperformed (+44%) when compared to the S&P 500 (+69%) and low COH-EXT companies (+89%).

Conclusion:

This study supports the view that employers’ efforts to build an internal culture of health is a sound business strategy. More research is needed, however, to establish whether a link exists between supporting healthy community initiatives and company stock performance.

Medicaid Accountable Care Organizations and Childbirth Outcomes

Some states have adopted Accountable Care Organization (ACO) models to transform their Medicaid programs, but little is known about their impact on health care outcomes and costs. Medicaid ACOs are uniquely positioned to improve childbirth outcomes because of the number of births covered by Medicaid. Using Healthcare Cost and Utilization Project hospital data, we examined the relationship between ACO adoption and (a) neonatal and maternal outcomes, and (b) cost per birth. We compared outcomes in states that have adopted ACO models in their Medicaid programs with adjacent states without ACO models. Implementation of Medicaid ACOs was associated with a moderate reduction in hospital costs per birth and decreased cesarean section rates. Results varied by state. We found no association between Medicaid ACOs and several birth outcomes, including infant inpatient mortality, low birthweight, neonatal intensive care unit utilization, and severe maternal morbidity. Improving these outcomes may require more time or targeted interventions.

Opioid Prescribing to Adolescents in the United States From 2005 to 2016

OBJECTIVE

This study assessed trends in days' supply for opioid prescriptions filled by adolescents with commercial insurance and Medicaid.

METHODS

IBM MarketScan commercial and Medicaid pharmacy claims data were used to measure days' supply among adolescents (2005-2016) and to determine whether there were differences between patients with commercial insurance or Medicaid coverage.

RESULTS

The 2-3 days' supply decreased from 50.5% (2005) to 36.7% of fills (2016), while 4-5 days' supply increased from 30.2% to 37.7%. Fills of 6-7 and 8-15 days increased slightly. Fills of over 30 days remained near 0.0%, and one-day fills remained at 1.0-2.0% until 2016, when they increased to 3.6% Conclusions: For adolescents, fills of prescription opioids generally exceeded three days. Efforts to reduce opioid prescribing through guidelines, prescription drug monitoring programs, and limits on days' supply do not appear to have affected prescribing for adolescents as much as desired.

Trends in average days' supply of opioid medications in Medicaid and commercial insurance

OBJECTIVES

To calculate trends in adult average days' supply for six commonly prescribed opioids: hydrocodone, hydromorphone, morphine, oxycodone, oxymorphone, and tapentadol to assess whether physicians changed prescribing practices at the time of the intensifying epidemic.

METHODS

We used 2005-2015 Truven Health MarketScan Commercial Claims and Encounters data to measure trends in opioid average days' supply among commercially insured individuals and 2005-2014 MarketScan Multi-State Medicaid data to measure trends in opioid average days' supply among Medicaid beneficiaries.

RESULTS

For Medicaid, we found an increase in days' supply for all drugs except morphine. The largest percentage increase was for oxycodone, which increased 4.5days (37%). Opioid days' supply for individuals with commercial insurance exhibited similar but steeper trends. The largest increase was also for oxycodone, which increased 6days (56%). Between 2013 and 2015, when the opioid epidemic had begun to be widely publicized, there was no decline in the median days supplied for any of the opioids.

CONCLUSIONS

Our results find that days' supply of opioids are increasing despite public health campaigns and media attention on the risks of opioid prescribing. More effective interventions to curb opioid prescribing are needed to reverse these trends.

The Exnovation of Chronic Care Management Processes by Physician Organizations

Policy Points The rate of adoption of chronic care management processes (CMPs) by physician organizations has been fairly slow in spite of demonstrated effectiveness of CMPs in improving outcomes of chronic care. Exnovation (ie, removal of innovations) by physician organizations largely explains the slow population-level increases in practice use of CMPs over time. Expanded health information technology functions may aid practices in retaining CMPs. Low provider reimbursement by Medicaid programs, however, may contribute to disinvestment in CMPs by physician organizations.

CONTEXT

Exnovation is the process of removal of innovations that are not effective in improving organizational performance, are too disruptive to routine operations, or do not fit well with the existing organizational strategy, incentives, structure, and/or culture. Exnovation may contribute to the low overall adoption of care management processes (CMPs) by US physician organizations over time.

METHODS

Three national surveys of US physician organizations, which included common questions about organizational characteristics, use of CMPs, and health information technology (HIT) capabilities for practices of all sizes, and Truven Health Insurance Coverage Estimates were integrated to assess organizational and market influences on the exnovation of CMPs in a longitudinal cohort of 1,048 physician organizations. CMPs included 5 strategies for each of 4 chronic conditions (diabetes, asthma, congestive heart failure, and depression): registry use, nurse care management, patient reminders for preventive and care management services to prevent exacerbations of chronic illness, use of nonphysician clinicians to provide patient education, and quality of care feedback to physicians.

FINDINGS

Over one-third (34.1%) of physician organizations exnovated CMPs on net. Quality of care data feedback to physicians and patient reminders for recommended preventive and chronic care were discontinued by over one-third of exnovators, while nurse care management and registries were largely retained. Greater proportions of baseline Medicaid practice revenue (incidence rate ratio [IRR] = 1.44, p < 0.001) and increasing proportions of revenue from Medicaid (IRR = 1.02, p < 0.05) were associated with greater CMP exnovation by physician organizations on net. Practices with greater expansion of HIT functionality exnovated fewer CMPs (IRR = 0.91, p < 0.001) compared to practices with less expansion of HIT functionality.

CONCLUSIONS

Exnovation of CMPs is an important reason why the population-level adoption of CMPs by physician organizations has remained low. Expanded HIT functions and changes to Medicaid reimbursement and incentives may aid the retention of CMPs by physician organizations.

Medicare Advantage and Traditional Medicare Hospitalization Intensity and Readmissions

Medicare Advantage plans have incentives and tools to optimize patient care. Therefore, Medicare Advantage hospitalizations may have lower cost and higher quality than similar traditional Medicare hospitalizations. We applied a coarsened matching approach to 2013 Healthcare Cost and Utilization Project hospital discharge data from 22 states to compare hospital cost, length of stay, and readmissions for Traditional Medicare and Medicare Advantage. We found that Medicare Advantage hospitalizations were substantially less expensive and shorter for mental health stays but costlier and longer for injury and surgical stays. We found little difference in the cost and length of medical stays and in readmission rates. One explanation is that Medicare Advantage plans use outpatient settings for many patients with behavioral health conditions and for injury and surgical patients with less complex health needs. Alternatively, the observed differences in behavioral health cost and length of stay may represent skimping on appropriate care.

Impact of Health System Affiliation on Hospital Resource Use Intensity and Quality of Care

OBJECTIVE

To assess the impact of hospital affiliation, centralization, and managed care plan ownership on inpatient cost and quality.

DATA SOURCES

Inpatient discharges from 3,957 community hospitals in 44 states and American Hospital Association Annual Survey data from 2010 to 2012.

STUDY DESIGN

We conducted a retrospective longitudinal regression analysis using hierarchical modeling of discharges clustered within hospitals.

DATA COLLECTION

Detailed discharge data including costs, length of stay, and patient characteristics from the Healthcare Cost and Utilization Project State Inpatient Databases were merged with hospital survey data from the American Hospital Association.

PRINCIPAL FINDINGS

Hospitals affiliated with health systems had a higher cost per discharge and better quality of care compared with independent hospitals. Centralized systems in particular had the highest cost per discharge and longest stays. Independent hospitals with managed care plans had a higher cost per discharge and better quality of care compared with other independent hospitals.

CONCLUSIONS

Increasing prevalence of health systems and hospital managed care ownership may lead to higher quality but are unlikely to reduce hospital discharge costs. Encouraging participation in innovative payment and delivery reform models, such as accountable care organizations, may be more powerful options.

Discharge Planning and Hospital Readmissions

This study examines the association between the quality of hospital discharge planning and all-cause 30-day readmissions and same-hospital readmissions. The sample included adults aged 18 years and older hospitalized in 16 states in 2010 or 2011 for acute myocardial infarction, heart failure, pneumonia, or total hip or joint arthroplasty. Data from the Hospital Consumer Assessment of Healthcare Providers and Systems measured discharge-planning quality at the hospital level. A generalized linear mixed model was used to estimate the contribution of patient and hospital characteristics to 30-day all-cause and same-hospital readmissions. Discharge-planning quality was associated with (a) lower rates of 30-day hospital readmissions and (b) higher rates of same-hospital readmissions for heart failure, pneumonia, and total hip or joint replacement. These results suggest that by improving inpatient discharge planning, hospitals may be able to influence their 30-day readmissions and increase the likelihood that readmissions will be to the same hospital.

The Relationship between Local Economic Conditions and Acute Myocardial Infarction Hospital Utilization by Adults and Seniors in the United States, 1995-2011

OBJECTIVE

To assess the association between aggregate unemployment and hospital discharges for acute myocardial infarction (AMI) among adults and seniors, 1995-2011.

DATA SOURCES/STUDY SETTING

Community hospital discharge data from states collected for the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) and economic data from the Bureau of Labor Statistics, 1995-2011.

STUDY DESIGN

Quarterly time series study of unemployment and aggregate hospital discharges in local areas using fixed effects to control for differences between local areas.

DATA COLLECTION/EXTRACTION METHODS

Secondary data on inpatient stays and unemployment rates aggregated to micropolitan and metropolitan areas.

PRINCIPAL FINDINGS

For both adults and seniors, a 1 percentage point increase in the contemporaneous unemployment rate was associated with a statistically significant 0.80 percent (adults) to 0.96 percent (seniors) decline in AMI hospitalization during the first half of the study but was unrelated to the economic cycle in the second half of the study period.

CONCLUSIONS

The study found evidence that the aggregate relationship between health and the economy may be shifting for cardiovascular events, paralleling recent research that has shown a similar shift for some types of mortality (Ruhm 2013), self-reported health, and inpatient use among seniors (McInerney and Mellor 2012).

The Effects of Telecommuting Intensity on Employee Health

Purpose.

To investigate the influence of the intensity of telecommuting on employee health.

Design.

Study design comprised a longitudinal analysis of employee demographic data, medical claims, health risk assessment data, and remote connectivity hours.

Setting.

Data from Prudential Financial served as the setting.

Subjects.

Active employees ages 18 to 64 years who completed the health risk assessment between 2010 and 2011 were the study subjects.

Measures.

Measures included telecommuting status and intensity, and eight indicators of health risk status (obesity, depression, stress, tobacco use, alcohol abuse, poor nutrition, physical inactivity, and an overall risk measure), with employee age, sex, race-ethnicity, job grade, management status, and work location as control variables.

Analysis.

Health risks were determined for nontelecommuters and telecommuters working remotely ≤8, 9 to 32, 33 to 72, and ≥73 hours per month. Longitudinal models for each health risk were estimated, controlling for demographic and job characteristics.

Results.

Telecommuting health risks varied by telecommuting intensity. Nontelecommuters were at greater risk for obesity, alcohol abuse, physical inactivity, and tobacco use, and were at greater overall risk than at least one of the telecommuting groups. Employees who telecommuted ≤8 hours per month were significantly less likely than nontelecommuters to experience depression. There was no association between telecommuting and stress or nutrition.

Conclusion.

Results suggest that employees may benefit from telecommuting opportunities.

Patient Factors Contributing to Variation in Same-Hospital Readmission Rate

The Centers for Medicare & Medicaid Services Hospital Readmission Reduction Program and the Centers for Medicare & Medicaid Innovations Bundled Payments for Care Improvement Initiative hold hospitals accountable for readmissions that occur at other hospitals. A few studies have described the extent to which hospital readmissions occur at the original place of treatment (i.e., same-hospital readmissions). This study uses data from 16 states to describe variation in same-hospital readmissions by patient characteristics across multiple conditions. We found that the majority of 30-day readmissions occur at the same hospital, although rates varied considerably by condition. A significant number of hospitals had very low rates of same-hospital readmissions, meaning that the majority of their readmissions went to other hospitals. Future research should examine why some hospitals are able to retain patients for a same-hospital readmission and others are not.

Geographic variation in cesarean delivery in the United States by payer

BACKGROUND

The rate of cesarean delivery in the United States is variable across geographic areas. The aims of this study are two-fold: (1) to determine whether the geographic variation in cesarean delivery rate is consistent for private insurance and Medicaid (2) to identify the patient, population, and market factors associated with cesarean rate and determine if these factors vary by payer.

METHODS

We used the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) to measure the cesarean rate at the Core-Based Statistical Area (CBSA) level. We linked the hospitalization data to data from other national sources to measure population and market characteristics. We calculated unadjusted and risk-adjusted CBSA cesarean rates by payer. For the second aim, we estimated a hierarchical logistical model with the hospitalization as the unit of analysis to determine the factors associated with cesarean delivery.

RESULTS

The average CBSA cesarean rate for women with private insurance was higher (18.9 percent) than for women with Medicaid (16.4 percent). The factors predicting cesarean rate were largely consistent across payers, with the following exceptions: women under age 18 had a greater likelihood of cesarean section if they had Medicaid but had a greater likelihood of vaginal birth if they had private insurance; Asian and Native American women with private insurance had a greater likelihood of cesarean section but Asian and Native American women with Medicaid had a greater likelihood of vaginal birth. The percent African American in the population predicted increased cesarean rates for private insurance only; the number of acute care beds per capita predicted increased cesarean rate for women with Medicaid but not women with private insurance. Further we found the number of obstetricians/gynecologists per capita predicted increased cesarean rate for women with private insurance only, and the number of midwives per capita predicted increased vaginal birth rate for women with private insurance only.

CONCLUSIONS

Factors associated with geographic variation in cesarean delivery, a frequent and high-resource inpatient procedure, vary somewhat by payer. Using this information to identify areas for intervention is key to improving quality of care and reducing healthcare costs.

Association between the unemployment rate and inpatient cost per discharge by payer in the United States, 2005-2010

Background

Several reports have linked the 2007–2009 Great Recession in the United States with a slowdown in health care spending and decreased utilization. However, little is known regarding how the recent economic downturn affected hospital costs per inpatient stay for different segments of the population. The purpose of this study was to examine the association between changes in the unemployment rate and inpatient cost per discharge for Medicare and commercial discharges.

Methods

We used retrospective data at the Core Based Statistical Area (CBSA)-level from 46 states that contributed to the Healthcare Cost and Utilization Project State Inpatient Databases from 2005 to 2010. Unemployment data was derived from the American Community Survey. An instrumental variable two-stage least squares approach with fixed- or random-effects was used to examine the association between unemployment rate and inpatient cost per discharge by payer because of potential endogeneity.

Results

The marginal effect of unemployment was associated with an increase in inpatient cost per discharge for both payers. A one percentage point increase in the unemployment rate was associated with a $37 increase for commercial discharges and a $49 increase for Medicare discharges.

Conclusions

We find evidence that the inpatient cost per discharge is countercyclical across different segments of the population. The underlying mechanisms by which unemployment affects hospital resource use however, might differ between payer groups.

Variation in hospital inpatient prices across small geographic areas

OBJECTIVES

To examine whether market competition may influence the difference in the inpatient price per discharge between public (Medicare) and private payers across small geographic areas.

STUDY DESIGN

Retrospective multivariate analysis.

METHODS

Data came from the 2006 Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SIDs) in 162 counties from 6 states where an HCUP price-to-charge ratio (PCR) was available. The SIDs were linked with the Area Resource File, American Hospital Association Annual Survey Database, and US Census Bureau data files. Hospital inpatient prices were estimated by applying the HCUP PCR to total hospital charges. Payer-specific price comparisons were made for all discharges, an acute condition (acute myocardial infarction), and an elective condition (knee arthroplasty). Ordinary least squares models were used to examine the effect of market competition on the inpatient price per discharge by payer.

RESULTS

Greater geographic variation was found in the inpatient price per discharge among private than public payers for most hospital services. Hospitals in more concentrated markets were associated with a higher price per discharge among knee arthroplasty discharges for both payers.

CONCLUSIONS

Hospitals charged significantly higher prices to private than public payers. Because the payment policies from Medicare ultimately affect private payers, public policy efforts that take into consideration market-based approaches or payment reform may help to reduce price variations.

Medicare and commercial inpatient resource use: impact of hospital competition

OBJECTIVES

To examine the influence of hospital competition on small-area inpatient resource use by payer.

METHODS

We measured hospital competition and inpatient resource use using data from the 2008 Healthcare Cost and Utilization Project State Inpatient Databases. Generalized linear models adjusted for patient, population, and market characteristics were used to assess the relationship between inpatient resource use and hospital competition.

RESULTS

Hospital competition had a similar influence on inpatient resource intensity for Medicare and privately insured patients. Hospitals in more competitive markets had significantly lower costs per discharge for both Medicare and privately insured patients. Hospital competition was not significantly associated with length of stay per discharge for either payer.

CONCLUSION

Findings suggest that policies or incentives that promote or encourage competition in less competitive markets may reduce variation in resource use for both Medicare and private payers.

Geographic variation: a view from the hospital sector

Efforts to characterize geographic variation in health care utilization and spending have focused on patterns observed with Medicare data. The authors analyzed the Healthcare Cost and Utilization Project national all-payer data for inpatient stays to assess variation in hospitalizations by age groups and, consequently, to understand how utilization of the Medicare population may differ from the population of other payers. The authors found that the correlation between inpatient discharges and costs per capita for the Medicare-eligible population over 65 and younger age groups increased from moderate to strong with age. These findings suggest examining Medicare inpatient data alone may provide a useful but not comprehensive understanding how hospital utilization and costs vary for the total population.

Physician attitude toward depression care interventions: implications for implementation of quality improvement initiatives

Background

Few individuals with depression treated in the primary care setting receive care consistent with clinical treatment guidelines. Interventions based on the chronic care model (CCM) have been promoted to address barriers and improve the quality of care. A current understanding of barriers to depression care and an awareness of whether physicians believe interventions effectively address those barriers is needed to enhance the success of future implementation.

Methods

We conducted semi-structured interviews with 23 primary care physicians across the US regarding their experience treating patients with depression, barriers to care, and commonly promoted CCM-based interventions. Themes were identified from interview transcripts using a grounded theory approach.

Results

Six barriers emerged from the interviews: difficulty diagnosing depression, patient resistance, fragmented mental health system, insurance coverage, lack of expertise, and competing demands and other responsibilities as a primary care provider. A number of interventions were seen as helpful in addressing these barriers – including care managers, mental health integration, and education – while others received mixed reviews. Mental health consultation models received the least endorsement. Two systems-related barriers, the fragmented mental health system and insurance coverage limitations, appeared incompletely addressed by the interventions.

Conclusion

CCM-based interventions, which include care managers, mental health integration, and patient education, are most likely to be implemented successfully because they effectively address several important barriers to care and are endorsed by physicians. Practices considering the adoption of interventions that received less support should educate physicians about the benefit of the interventions and attend to physician concerns prior to implementation. A focus on interventions that address systems-related barriers is needed to overcome all barriers to care.

Maturase and endonuclease functions depend on separate conserved domains of the bifunctional protein encoded by the group I intron aI4 alpha of yeast mitochondrial DNA

Intron 4 alpha (aI4 alpha) of the yeast mitochondrial COXI gene is a mobile group I intron that contains a reading frame encoding both the homing endonuclease I-SceII and a latent maturase capable of splicing both aI4 alpha and the fourth intron of the cytochrome b (COB) gene (bI4). The aI4 alpha reading frame is a member of a large gene family recognized by the presence of related dodecapeptide sequence motifs called P1 and P2. In this study, missense mutations of P1 and P2 were placed in mitochondrial DNA by biolistic transformation. The effects of the mutations on intron mobility, endonuclease I-SceII activity and maturase function were tested. The mutations of P1 strongly affected mobility and endonuclease I-SceII activity, but had little or no effect on maturase function; mutations of P2 affected splicing but not mobility or endonuclease I-SceII activity. Surprisingly, the conditional (temperature-sensitive) mutations at P1 and P2 block one or the other function of the protein but not both. This study indicates that the two functions depend on separate domains of the intron-encoded protein.

The mobile group I intron 3 alpha of the yeast mitochondrial COXI gene encodes a 35-kDa processed protein that is an endonuclease but not a maturase

Three mitochondrial mutants were characterized that block the splicing of aI3 alpha, a mobile group I intron of the COXI gene of yeast mtDNA. Mutant C1085 alters helical structures known to be important for splicing of group I introns. M44 and C1072 are point mutants in exon 3 that block correct splicing but allow some splicing at cryptic 5'-splice sites. M44 alters the P1 helix needed for 5'-splice site definition, while the mutation in C1072 is a new kind of mutation because it is located upstream of the exon sequence involved in the P1 helix. All three mutants accumulate novel proteins of 35 and 44 kDa (p35 and p44, respectively) detected both by labeling of mitochondrial translation products and by Western blotting. Partial protease digestions indicate that p44 and p35 are closely related, probably as precursor and processed protein. The level of the intron-encoded endonuclease activity, I-SceIII, is elevated approximately 10-fold in the mutants. Partial purification of I-SceIII from the mutants showed that most, if not all, of the activity is associated with p35. Finally, because aI3 alpha splices accurately in a petite mutant, we conclude that aI3 alpha splicing does not depend on a mtDNA-encoded maturase.