The effect of hospital ownership choice on patient outcomes after treatment for acute myocardial infarction

Association between hospital ownership and patient selection, management, and outcomes after carotid endarterectomy or carotid artery stenting : - Secondary data analysis of the Bavarian statutory quality assurance database

BACKGROUND

This study analyses the association between hospital ownership and patient selection, treatment, and outcome of carotid endarterectomy (CEA) or carotid artery stenting (CAS).

METHODS

The analysis is based on the Bavarian subset of the nationwide German statutory quality assurance database. All patients receiving CEA or CAS for carotid artery stenosis between 2014 and 2018 were included. Hospitals were subdivided into four groups: university hospitals, public hospitals, hospitals owned by charitable organizations, and private hospitals. The primary outcome was any stroke or death until discharge from hospital. Research was funded by Germany's Federal Joint Committee Innovation Fund (01VSF19016 ISAR-IQ).

RESULTS

In total, 22,446 patients were included. The majority of patients were treated in public hospitals (62%), followed by private hospitals (17%), university hospitals (16%), and hospitals under charitable ownership (6%). Two thirds of patients were male (68%), and the median age was 72 years. CAS was most often applied in university hospitals (25%) and most rarely used in private hospitals (9%). Compared to university hospitals, patients in private hospitals were more likely asymptomatic (65% vs. 49%). In asymptomatic patients, the risk of stroke or death was 1.3% in university hospitals, 1.5% in public hospitals, 1.0% in hospitals of charitable owners, and 1.2% in private hospitals. In symptomatic patients, these figures were 3.0%, 2.5%, 3.4%, and 1.2% respectively. Univariate analysis revealed no statistically significant differences between hospital groups. In the multivariable analysis, compared to university hospitals, the odds ratio of stroke or death in asymptomatic patients treated by CEA was significantly lower in charitable hospitals (OR 0.19 [95%-CI 0.07-0.56, p = 0.002]) and private hospitals (OR 0.47 [95%-CI 0.23-0.98, p = 0.043]). In symptomatic patients (elective treatment, CEA), patients treated in private or public hospitals showed a significantly lower odds ratio compared to university hospitals (0.36 [95%-CI 0.17-0.72, p = 0.004] and 0.65 [95%-CI 0.42-1.00, p = 0.048], respectively).

CONCLUSIONS

Hospital ownership was related to patient selection and treatment, but not generally to outcomes. The lower risk of stroke or death in the subgroup of electively treated patients in private hospitals might be due to the right timing, the choice of treatment modality or actually to better structural and process quality.

Patient outcomes, efficiency, and adverse events for elective hip and knee replacement in private and NHS hospitals: a population-based cohort study in England

Background

Since the early 2000s, the National Health Service (NHS) in England has expanded provision of publicly funded care in private hospitals as a strategy to meet growing demand for elective care. This study aims to compare patient outcomes, efficiency and adverse events in private and NHS hospitals when providing elective hip and knee replacement.

Methods

We conducted a population-based cohort study including patients ≥18 years, undergoing a publicly funded elective hip or knee replacement in private and NHS hospitals in England between January 1st 2016 and March 31st 2019. Comparative probability was estimated for three patient outcome measures (in-hospital mortality, emergency readmissions with 28 days, hospital transfers), two efficiency measures (pre-operative length of stay (LOS) >0 day and post-operative LOS >2 days), and four adverse events (hospital-associated infection, adverse drug reactions, pressure ulcers, venous thromboembolism). Probit regression was used to adjust for observable confounding followed by instrumental variable (IV) analyses to also account for unobserved confounding at the patient-level. Propensity score matching was then used as a robustness check.

Findings

Our study sample included 169,232 patients in private hospitals, and 262,659 patients in NHS hospitals. Estimates from probit regression indicated that treatment in private hospital was associated with reduced probability of in-hospital mortality (-0.0009, 95% CI -0.0010, -0.0007), emergency readmissions (-0.0181, 95% CI -0.0191, -0.0172), hospital transfers (-0.0076, 95% CI -0.0084, -0.0068), prolonged post-operative LOS (-0.1174, 95% CI -0.1547, -0.0801), hospital-associated infection (-0.0115, 95% CI -0.0123, -0.0107), adverse drug reactions (-0.0051, 95% CI -0.0056, -0.0046), pressure ulcers (-0.0017, 95% CI -0.0019, -0.0014), and venous thromboembolism (-0.0027, 95% CI -0.0031, -0.0022). IV analyses produced no significant differences between private and NHS hospitals, except for lower probability in private hospitals of hospital-associated infection (-0.0057, 95% CI -0.0081, -0.0032), and greater probability in private hospitals of prolonged post-operative LOS (0.2653, 95% CI 0.1833, 0.3472). Propensity score matching produced similar results to probit regression.

Interpretation

Our findings indicate there is potentially important unobservable confounding at the patient-level between private and NHS hospitals not adjusted for when using probit regression or propensity score matching.

Funding

This research did not receive any dedicated funding.

Mortality Among the Dementia Population in Not-For-Profit Hospitals with Better Nursing Resources

The dementia population has higher rates of mortality during hospital stays than those without dementia. The aim of this study is to examine the relationship between ownership status (i.e. for-profit vs. not-for-profit) and nursing resources (i.e. nurse work environment, nurse-to-patient staffing, and nurse education) on 30-day mortality among post-surgical older adults with dementia. A cross-sectional analysis of linked American Hospital Association, Medicare claims, and nurse survey data was conducted using multi-level logistic regression models. We examined these models to assess the relationship between ownership status and 30-day mortality after adjusting patient and hospital characteristics. We also analyzed the relationship between the hospital ownership status and the 30-day mortality, after considering the three nursing resources. Older adults with dementia who received care in hospitals with not-for-profit status were less likely to die within 30 days of admission following surgery compared to those treated in hospitals with for-profit hospital status (i.e. odds ratio 0.82, 95% confidence interval 0.73-0.92, p = <.001). In addition, the odds ratios estimating the association between ownership and mortality were similar across the different models of the three nursing resources with and without those controls (i.e. 0.88 vs. 0.83 vs. 0.82). Surgical patients with dementia had better outcomes when cared for in not-for-profit hospitals, particularly with greater levels of nurse education and nurse staffing. The relationship between profit status and mortality was partly explained by the lower levels of nurse staffing and education in for-profit vs. not-for-profit hospitals.

The Different Classification of Hospitals Impact on Medical Outcomes of Patients in China

Background

In China, different classification of hospitals (COH) provide treatment for patients with different degrees of illness. COH play an important role in Chinese medical outcomes, but there is a lack of quantitative description of how much impact the results have. The objective of this study is to examine the correlation between COH on medical outcomes with the hope of providing insights into appropriate care and resource allocation.

Methods

From the perspective of the COH framework, using the Urban Employee Basic Medical Insurance (UEBMI) data of Chengdu City from 2011 to 2015, with a sample size of 512,658 hospitalized patients, this study used the nested multinomial logit model (NMNL) to estimate the impact of COH on the medical outcomes.

Results

The patients were mainly elderly, with an average age of 66.28 years old. The average length of stay was 9.61 days. The female and male gender were split evenly. A high level of hospitals is positively and significantly associated with the death and transfer rates (p < 0.001), which may be related to more severe illness among patients in high COH.

Conclusion

The COH made a difference in the medical outcomes significantly. COH should be reasonably selected according to disease types to achieve the optimal medical outcome. So, China should promote the construction of a tiered delivery system.

A demand-smoothing incentive for cesarean deliveries

We study the demand-smoothing incentives for private hospitals to perform c-sections. First, we show that a policy change in Chile that increased delivery at private hospitals by reducing the out-of-pocket cost for women with public insurance increased the probability of a c-section by 8.6 percentage points despite private hospitals receiving the same price for a vaginal or cesarean delivery. Second, to understand hospitals' incentives to perform c-sections, we present a model of hospital decisions about the mode of delivery without price incentives. The model predicts that, because c-sections can be scheduled, a higher c-section rate increases total deliveries, compensating the forgone higher margin of vaginal deliveries. Finally, we provide evidence consistent with the demand-smoothing mechanism: hospitals with higher c-section rates are more likely to reschedule deliveries when they expect a high-demand week.

The impact of public hospitals' privatization on nurse staffing

BACKGROUND

Privatization is one of the strategies that public hospitals may adopt to remain competitive. Privatized hospitals may implement nurse staffing cuts as a cost-saving mechanism and to increase financial performance. A better understanding of how privatization may affect nurse staffing is important given its association with patient and organizational outcomes.

PURPOSE

The aim of this study was to examine the impact of not-for-profit (NFP) and for-profit (FP) privatizations of public hospitals on nurse staffing.

METHODOLOGY/APPROACH

Based on secondary data sets from the American Hospital Association Annual Survey, the Centers for Medicare & Medicaid Services Impact Files, and the Area Health Resources File, this study used a nonexperimental longitudinal design consisting of negative binomial and linear regression models with hospital level and year fixed effects. Our sample consisted of nonfederal and noncritical access, acute care, public hospitals (n = 492) followed from 1997 to 2013 (8,335 hospital-year observations). Nurse staffing was measured as full-time equivalents (FTEs) and skill mix. Privatization was defined as conversion from public to either private NFP or private FP status.

RESULTS

FP privatization was associated with greater decreases in registered nurse (RN) staffing FTEs (incidence rate ratio [IRR] = 0.93, p = .004) and total nurse staffing FTEs (IRR = 0.93, p = .001), compared with NFP privatization: RN staffing FTEs (IRR = 0.95, p = .003) and total nurse staffing FTEs (IRR = 0.96, p = .007).

CONCLUSION

Overall, privatization was associated with decreased RN FTEs and total nurse staffing FTEs and no changes in licensed practical nurse FTEs and RN skill mix.

PRACTICE IMPLICATIONS

A close monitoring of nurse staffing level, after privatization, is encouraged to prevent potential deterioration in quality of care.

The association between patient engagement HIT functionalities and quality of care: Does more mean better?

OBJECTIVE

To explore the relationship between the number (breadth) of patient engagement functionalities offered through health information technology (HIT) by hospitals and the hospitals' quality of care.

METHODS

Data on hospital adoption of patient engagement functionalities were combined with quality data obtained from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare. Fixed effects regression models were used to analyze a panel data consisting 1,463 hospitals from 2012 to 2014.

RESULTS

This study revealed a significant positive relationship between the breadth of patient engagement functionalities and patient satisfaction (β = 0.126, p < 0.05). The number of functionalities was also found to be negatively associated with 30-day readmission rates for myocardial infarction (β= -0.085, p < 0.05), heart failure (β= -0.109, p < 0.05), and pneumonia (β= -0.048, p < 0.05).

DISCUSSION

The breadth of functionalities offered by hospitals to engage patients was a significant factor in decreasing hospital 30-day readmission rates for pneumonia, acute myocardial infarction, and heart failure, and also influenced patients' perception of the hospital.

CONCLUSIONS

The findings suggest that hospitals with more patient engagement HIT functionalities are likely to have higher patient satisfaction and lower readmission rates for infarction, heart failure, and pneumonia. This study will potentially assist hospital administrators to justify their strategic deployment of HIT resources to improve both perceived and actual care quality.

The principal-agent problem and owner-managers: An instrumental variables application to nursing home quality

The literature on provider ownership has primarily focused broadly on for-profits compared with nonprofits and chains versus nonchains. However, the understanding of more nuanced ownership arrangements within individual facilities is limited. Utilizing the principal-agent and managerial control frameworks, we study the role of managerial ownership and its relationship to quality among for-profit nursing homes (NHs). We identify NH administrators with more than 5% ownership (owner-manager) from Ohio Medicaid Cost Reports (2005-2010) and link these data to long-stay resident records in the Minimum Data Set. Using differential distance to the nearest NHs with a salaried manager relative to an owner-manager, we address the differential selection into these two types of NHs. After instrumenting for admissions to owner-managed NHs, quality among long-stay residents at owner-managed NHs is generally better than NHs with salaried managers. We find suggestive evidence that the magnitudes of quality difference are larger when the principal-agent problem is likely more pronounced, such as when NHs that are part of a multifacility chain and located in more concentrated markets.

The Privatization of Public Hospitals: Its Impact on Financial Performance

This study examined the effects of public hospitals' privatization on financial performance. We used a sample of nonfederal acute care public hospitals from 1997 to 2013, averaging 434 hospitals per year. Privatization was defined as conversion from public status to either private not-for-profit (NFP) or private for-profit (FP) status. Financial performance was measured by operating margin (OM) and total margin (TM). We used hospital level and year fixed effects linear panel regressions with nonlagged independent and control variables (Model 1), lagged by 1 year (Model 2), and lagged by 2 years (Model 3). Privatization to FP was associated with 17% higher OM (Model 2) and 9% higher OM (Model 3), compared with 3%, 4%, and 6% higher OM for privatization to NFP for all three Models, respectively. Privatization to FP was associated with 7% higher TM (Model 2) and privatization to NFP was associated with 2% higher TM (Model 3).

Socioeconomic inequality of access to healthcare: Does choice explain the gradient?

Equity of access is a key policy objective in publicly-funded healthcare systems. However, observed inequalities of access by socioeconomic status may result from differences in patients' choices. Using data on non-emergency coronary revascularisation procedures in the English National Health Service, we found substantive differences in waiting times within public hospitals between patients with different socioeconomic status: up to 35% difference, or 43 days, between the most and least deprived population quintile groups. Using selection models with differential distances as identification variables, we estimated that only up to 12% of these waiting time inequalities can be attributed to patients' choices of hospital and type of treatment (heart bypass versus stent). Residual inequality, after allowing for choice, was economically significant: patients in the least deprived quintile group benefited from shorter waiting times and the associated health benefits were worth up to £850 per person.

Impact of the insurance type of head and neck cancer patients on their hospitalization utilization patterns

BACKGROUND

Head and neck cancer (HNC) patients with Medicaid, Medicare, or no insurance show poor outcomes in comparison with privately insured patients. It was hypothesized that nonprivate insurance coverage biases the selection of the treatment site to favor hospitals that are not associated with optimum treatment outcomes. This study assessed the relation between the insurance type of HNC patients and the hospital type for inpatient care.

METHODS

Adult HNC patients were identified from the Nationwide Inpatient Sample (2012 and 2013). The primary exposure was the insurance provider type. The outcome was the hospital type, which was classified by the hospital's ownership and its location and teaching status. Multivariate multinomial logistic regression models were constructed to control for the patient's age, sex, race, income, mortality risk, and geographic location. The analysis was weighted and was adjusted for multiple comparisons.

RESULTS

In all, 37,466 HNC patients representing 187,330 patients nationally were identified. After adjustments for age, sex, race, income, and mortality risk, in comparison with privately insured patients, Medicaid, Medicare, and uninsured patients demonstrated 1.14 to 2.29 increased odds of undergoing treatment at rural, urban nonteaching, private investor-owned, or government (nonfederal) hospitals (P < .05). This trend remained apparent even after adjustments for the geographic location.

CONCLUSIONS

Uninsured patients or patients insured by government programs predominantly underwent care for HNC at hospital types most often associated with inferior survival outcomes. This finding could explain some proportion of insurance-related disparities in HNC outcomes. Further studies are warranted to determine whether interventions to promote equitable access to optimal hospital settings for patients, regardless of their insurance type, might improve outcomes among nonprivate insurance holders. Cancer 2018;124:760-8. © 2017 American Cancer Society.

Hospitalization Rates and Predictors of Rehospitalization Among Individuals With Advanced Cancer in the Year After Diagnosis

Purpose Among individuals with advanced cancer, frequent hospitalization increasingly is viewed as a hallmark of poor-quality care. We examined hospitalization rates and individual- and hospital-level predictors of rehospitalization among individuals with advanced cancer in the year after diagnosis. Methods Individuals diagnosed with advanced breast, colorectal, non-small-cell lung, or pancreatic cancer from 2009 to 2012 (N = 25,032) were identified with data from the California Cancer Registry (CCR). After linkage with inpatient discharge data, multistate and log-linear Poisson regression models were used to calculate hospitalization rates and to model rehospitalization in the year after diagnosis, accounting for survival. Results In the year after diagnosis, 71% of individuals with advanced cancer were hospitalized, 16% had three or more hospitalizations, and 64% of hospitalizations originated in the emergency department. Rehospitalization rates were significantly associated with black non-Hispanic (incidence rate ratio [IRR], 1.29; 95% CI, 1.17 to 1.42) and Hispanic (IRR, 1.11; 95% CI, 1.03 to 1.20) race/ethnicity; public insurance (IRR, 1.37; 95% CI, 1.23 to 1.47) and no insurance (IRR, 1.17; 95% CI, 1.02 to 1.35); lower socioeconomic status quintiles (IRRs, 1.09 to 1.29); comorbidities (IRRs, 1.13 to 1.59); and pancreatic (IRR, 2.07; 95% CI, 1.95 to 2.20) and non-small-cell lung (IRR, 1.69; 95% CI, 1.54 to 1.86) cancers versus colorectal cancer. Rehospitalization rates were significantly lower after discharge from a hospital that had an outpatient palliative care program (IRR, 0.90; 95% CI, 0.83 to 0.97) and were higher after discharge from a for-profit hospital (IRR, 1.33; 95% CI, 1.14 to 1.56). Conclusion Individuals with advanced cancer experience a heavy burden of hospitalization in the year after diagnosis. Efforts to reduce hospitalization and provide care congruent with patient preferences might target individuals at higher risk. Future work might explore access to palliative care in the community and related health care use among individuals with advanced cancer.

Competition and screening with motivated health professionals

Two hospitals compete for the exclusive services of health professionals, who are privately informed about their ability and motivation. Hospitals differ in their ownership structure and in the mission they pursue. The non-profit hospital sacrifices some profits to follow its mission but becomes attractive for motivated workers. In equilibrium, when both hospitals are active, the sorting of workers to hospitals is efficient and ability-neutral. Allocative distortions are decreasing in the degree of competition and disappear when hospitals are similar. The non-profit hospital tends to provide a higher amount of care and offer lower salaries than the for-profit one.

Changes in Hospital Performance after Ownership Conversions

This paper examines the effects of ownership conversions on hospital performance between 1987 and 1998 in areas of financial performance, staffing, capacity, and unprofitable care. Conversions to government and for-profit ownership both increased the profit margin: the former due to rising revenue, and the latter due to reduced operating costs and rising revenue. Hospitals that converted to for-profit ownership had the greatest reduction in staffing relative to other converted hospitals. There was little change in bed capacity after conversion to for-profit status, but some reductions in bed capacity after conversion to government or nonprofit status. No conversion of any kind led to a reduced amount of unprofitable care, but conversion to private ownership (nonprofit and for-profit) increased the probability of trauma center closures.

Measuring the relationship between costs and outcomes: the example of acute myocardial infarction in German hospitals

In this paper, we propose a methodological approach to measure the relationship between hospital costs and health outcomes. We propose to investigate the relationship for each condition or disease area by using patient-level data. We examine health outcomes as a function of costs and other patient-level variables by using the following: (1) two-stage residual inclusion with Murphy-Topel adjustment to address costs being endogenous to health outcomes, (2) random-effects models in both stages to correct for correlation between observation, and (3) Cox proportional hazard models in the second stage to ensure that the available information is exploited. To demonstrate its application, data on mortality following hospital treatment for acute myocardial infarction (AMI) from a large German sickness fund were used. Provider reimbursement was used as a proxy for treatment costs. We relied on the Ontario Acute Myocardial Infarction Mortality Prediction Rules as a disease-specific risk-adjustment instrument. A total of 12,284 patients with treatment for AMI in 2004-2006 were included. The results showed a reduction in hospital costs by €100 to increase the hazard of dying, that is, mortality, by 0.43%. The negative association between costs and mortality confirms that decreased resource input leads to worse outcomes for treatment after AMI.

Does a global budget superimposed on fee-for-service payments mitigate hospitals' medical claims in Taiwan?

Taiwan's global budgeting for hospital health care, in comparison to other countries, assigns a regional budget cap for hospitals' medical benefits claimed on the basis of fee-for-service (FFS) payments. This study uses a stays-hospitals-years database comprising acute myocardial infarction inpatients to examine whether the reimbursement policy mitigates the medical benefits claimed to a third-payer party during 2000-2008. The estimated results of a nested random-effects model showed that hospitals attempted to increase their medical benefit claims under the influence of initial implementation of global budgeting. The magnitudes of hospitals' responses to global budgeting were significantly attributed to hospital ownership, accreditation status, and market competitiveness of a region. The results imply that the regional budget cap superimposed on FFS payments provides only blunt incentive to the hospitals to cooperate to contain medical resource utilization, unless a monitoring mechanism attached with the payment system.

Race and psychiatric diagnostic patterns: understanding the influence of hospital characteristics in the National Hospital Discharge Survey

Historically, blacks have been more frequently diagnosed with schizophrenia and less frequently diagnosed with mood disorders than whites. Our understanding of why these disparities exist has primarily focused on patient and clinician characteristics and failed to examine the influence of social contextual factors such as hospital characteristics on diagnostic patterns. We analyzed data from the 2007 National Hospital Discharge Survey, a large national database of hospital inpatient stays. The paper examines whether race influences inpatient diagnoses before and after adjustment for select patient and hospital characteristics. Results indicate that blacks were 3-fold more likely to be diagnosed with schizophrenia (odds ratio [OR], 3.68; 95% confidence interval [CI], 2.96-4.57) or a psychotic disorder (OR, 3.39; 95% CI, 2.90-3.96) than whites. However, blacks were less likely than whites to be diagnosed with bipolar disorder (OR, 0.60; 95% CI, 0.50-0.72) or mood disorder (OR, 0.50; 95% CI, 0.43-0.58). These same diagnostic patterns persisted after adjustment for selected patient and hospital characteristics. These results provide confirmation of trends observed in earlier studies of single hospitals with smaller sample sizes. Further research is necessary to determine whether the hospital characteristics selected for these analyses are appropriate proxy measures of factors that influence diagnostic judgment in inpatient settings.

Staff retention after the privatization of township-village health centers: a case study from the Haimen City of East China

Background

Township-village health centers in rural areas play an important role in health service system in China. In East China’s Jiangsu Province, the City of Haimen privatized all 25 township-village health centers in 2002. This study assesses the effect of privatization on staff retention among these health centers.

Methods

This is a retrospective study based on 10-year administrative data from Haimen City. Three waves of administrative data were collected in 2000 (2 years before privatization), 2005 (3 years after privatization) and 2009 (7 years after privatization) for all health care providers in Haimen City, including 3 county hospitals, 6 central township health centers (CTHC) and 25 township-village health centers (TVHC). The effect of privatization on TVHCs’ staff retention was evaluated in comparison with the other two types of health care providers. We conducted focus groups with people from Haimen Bureau of Health and various health care providers to help understand the context of these administrative statistics.

Results

Each township-village health centers had an average of 40 staff members before the privatization, and the majority of those staff members were their permanent staff. In 2005, three years after the privatization, a substantial amount of staff decrease (from 39.7 staff members per TVHC to 27.5 per TVHC) occurred in these township-village health centers. From 2000 to 2009, the total payroll in TVHCs decreased by almost 29%, while the number of their permanent staff members and nurses decreased by more than 40%. Among the two types of health care providers that did not go through a privatization, those central township health centers had no significant change on their payroll size during this period whereas the county hospitals’ average payroll size actually increased by 20%, especially for the number of doctors. In addition, the average salary and caseload in TVHC showed similar decreasing trends from 2000 to 2009, while no such trends can be observed among the other two types of providers that did not undergo privatization.

Conclusion

The privatization of township-village health center could have adverse effects on their staff retention, a phenomenon that occurs with a decrease in salary and caseload in these centers. To ensure that these health institutions keep providing health care for rural communities, a stronger social safety net and stronger financing of rural health insurance might be helpful in their staff retention.

Changes in hospital efficiency after privatization

We investigated the effects of privatization on hospital efficiency in Germany. To do so, we obtained boot-strapped data envelopment analysis (DEA) efficiency scores in the first stage of our analysis and subsequently employed a difference-in-difference matching approach within a panel regression framework. Our findings show that conversions from public to private for-profit status were associated with an increase in efficiency of between 2.9 and 4.9%. We defined four alternative post-privatization periods and found that the increase in efficiency after a conversion to private for-profit status appeared to be permanent. We also observed an increase in efficiency for the first three years after hospitals were converted to private non-profit status, but our estimations suggest that this effect was rather transitory. Our findings also show that the efficiency gains after a conversion to private for-profit status were achieved through substantial decreases in staffing ratios in all analyzed staff categories with the exception of physicians and administrative staff. It was also striking that the efficiency gains of hospitals converted to for-profit status were significantly lower in the diagnosis-related groups (DRG) era than in the pre-DRG era. Altogether, our results suggest that converting hospitals to private for-profit status may be an effective way to ensure the scarce resources in the hospital sector are used more efficiently.

Comparing the performance of residential fire sprinklers with other life-safety technologies

Residential fire sprinklers have long proven themselves as life-safety technologies to the fire service community. Yet, about 1% of all one- and two-family dwelling fires occur in homes protected by sprinklers. It has been argued that measured sprinkler performance has ignored factors confounding the relationship between sprinkler use and performance. In this analysis, sprinkler performance is measured by comparing 'like' structure fires, while conditioning on smoke detection technology and neighborhood housing and socioeconomic conditions, using propensity score matching. Results show that residential fire sprinklers protect occupant and firefighter health and safety, and are comparable to other life-safety technologies.

Does uninsurance affect the health outcomes of the insured? Evidence from heart attack patients in California

In this paper, I examine the impact of uninsured patients on the in-hospital mortality rate of insured heart attack patients. I employ panel data models using patient discharge and hospital financial data from California (1999-2006). My results indicate that uninsured patients have an economically significant effect that increases the mortality rate of insured heart attack patients. I show that these results are not driven by alternative explanations, including reverse causality, patient composition effects, sample selection or unobserved trends and that they are robust to a host of specification checks. The primary channel for the observed spillover effects is increased hospital uncompensated care costs. Although data limitations constrain my capacity to check how hospitals change their provision of care to insured heart attack patients in response to reduced revenues, the evidence I have suggests a modest increase in the quantity of cardiac services without a corresponding increase in hospital staff.

Ownership conversion and closure in the nursing home industry

Ownership conversions and closures in the nursing home literature have largely been treated as separate issues. This paper studies the predictors of nursing home ownership conversions and closure in a common framework after the implementation of the Prospective Payment System in Medicare skilled nursing facilities. The switch in reimbursement regimes impacted facilities with greater exposure to Medicare and lower efficiency. Facilities that faced greater financial difficulty were more likely to be involved in an ownership conversion or closure, but after controlling for other factors the effect of exposure to Medicare is small. Further, factors that predict conversion were found to vary between not-for-profit and for-profit facilities, while factors that predict closure were the same for each ownership type.

Costs and quality of hospitals in different health care systems: a multi-level approach with propensity score matching

Cross-country comparisons of costs and quality between hospitals are often made at the macro level. The goal of this study was to explore methods to compare micro-level data from hospitals in different health care systems. To do so, we developed a multi-level framework in combination with a propensity score matching technique using similarly structured data for patients receiving treatment for acute myocardial infarction in German and US Veterans Health Administration hospitals. Our case study shows important differences in results between multi-level regressions based on matched and unmatched samples. We conclude that propensity score matching techniques are an appropriate way to deal with the usual baseline imbalances across the samples from different countries. Multi-level models are recommendable to consider the clustered structure of the data when patient-level data from different hospitals and health care systems are compared. The results provide an important justification for exploring new ways in performing health system comparisons.

A comparison of quality measures between for-profit and nonprofit medicare-certified home health agencies in Michigan

This exploratory study investigated the differences in the means of quality measures between for-profit and nonprofit Medicare-certified home health agencies in Michigan. The research question was: Do nonprofit agencies provide higher quality of care than for-profit agencies? Twelve publicly available quality measures were retrieved in May 2009 and used for analysis. Independent t tests found significant differences between for-profit and nonprofit agencies on 6 of the 12 measures, with for-profit agencies performing better on 5 measures. The relative value of both types of ownership should be recognized. Future research may focus on using standardized quality measures to explore further the impact of profit orientation on home health quality of care.

The trade-off between costs and outcomes: the case of acute myocardial infarction

Objective

To investigate and to quantify the relationship between hospital costs and health outcomes for patients with acute myocardial infarction (AMI) in Veterans Health Administration (VHA) hospitals using individual-level data for costs and outcomes.

Data Sources

VHA administrative files for the fiscal years 2000–2006.

Study Design

Costs were defined as costs incurred during the index hospitalization for treatment of AMI. Mortality and readmission, assessed 1 year after the index hospitalization, were used as measures of clinical outcome. We examined health outcomes as a function of costs and other patient-level and hospital-level characteristics using a two-stage Cox proportional hazard model that accounted for competing risks within a multilevel framework. To control for patient comorbidities, we compiled a comprehensive list of comorbidities that have been found in other studies to affect mortality and readmissions.

Principal Findings

We found that costs were negatively associated with mortality and readmissions. Every U.S.$100 less spent is associated with a 0.63 percent increase in the hazard of dying and a 1.24 percent increase in the hazard to be readmitted conditional on not dying. This main finding remained unchanged after a number of sensitivity checks.

Conclusions

Our results suggest that there is a trade-off between costs and outcomes. The negative association between costs and mortality suggests that outcomes should be monitored closely when introducing cost-containment programs. Additional studies are needed to examine the cost–outcome relationship for conditions other than AMI to see whether our results are consistent.

Hospital type and patient outcomes: an empirical examination using AMI readmission and mortality records

This paper investigates whether there are differences in patient outcomes across different types of hospitals using patient-level data on readmission and mortality associated with acute myocardial infarction (AMI). Hospitals are grouped according to their ownership type (private, public teaching, public non-teaching) and their location (metropolitan, country and remote country). Using data collected from 130 Victorian hospitals on 19,000 patients admitted to a hospital with their first AMI between January 2001 and December 2003, we consider how the likelihood of unplanned re-admission and mortality varies across hospital type. We find that there are significant differences across hospital types in the observed patient outcomes - private hospitals persistently outperform public hospitals.

Hospital ownership and quality of care: what explains the different results in the literature?

This systematic review examines what factors explain the diversity of findings regarding hospital ownership and quality. We identified 31 observational studies written in English since 1990 that used multivariate analysis to examine quality of care at nonfederal general acute, short-stay US hospitals. We find that pooled estimates of ownership effects are sensitive to the subset of studies included and the extent of overlap among hospitals analyzed in the underlying studies. Ownership does appear to be systematically related to differences in quality among hospitals in several contexts. Whether studies find for-profit and government-controlled hospitals to have higher mortality rates or rates of adverse events than their nonprofit counterparts depends on data sources, time period, and region covered. Policymakers should be aware of the underlying reasons for conflicting evidence in this literature, and the strengths and weaknesses of meta-analytic synthesis. The 'true' effect of ownership appears to depend on institutional context, including differences across regions, markets, and over time.

Hospital ownership and performance: evidence from stroke and cardiac treatment in Taiwan

This paper compares program expenditure and treatment quality of stroke and cardiac patients between 1997 and 2000 across hospitals of various ownership types in Taiwan. Because Taiwan implemented national health insurance in 1995, the analysis is immune from problems arising from the complex setting of the U.S. health care market, such as segmentation of insurance status or multiple payers. Because patients may select admitted hospitals based on their observed and unobserved characteristics, we employ instrument variable (IV) estimation to account for the endogeneity of ownership status. Results of IV estimation find that patients admitted to non-profit hospitals receive better quality care, either measured by 1- or 12-month mortality rates. In terms of treatment expenditure, our results indicate no difference between non-profits and for-profits index admission expenditures, and at most 10% higher long-term expenditure for patients admitted to non-profits than to for-profits.

Do "most wired" hospitals deliver better care?

BACKGROUND

A study was conducted in 2006 to compare differences in objective quality of care measures among hospitals labeled "Most Wired"--a hospital or member-hospital of a health system listed among the Hospital and Health Network's Healthcare's Most Wired Hospitals for 2004--versus hospitals without that designation.

METHODS

Ten quality indicators representing cardiac and pulmonary measures were calculated for adult hospitals participating in the U.S. Department of Health and Human Services' Hospital Compare initiative. Performance of Most Wired hospitals and comparison hospitals was compared using t-tests. The association of the Most Wired designation to measures of care was assessed using multivariable linear regression and generalized estimating equations.

RESULTS

Compared with comparison hospitals, Most Wired hospitals tend to be larger, not-for profit and teaching hospitals. Most Wired hospitals outperformed comparison hospitals in all but one quality indicator (p < .05). After adjustment, Most Wired hospitals were independently associated with better quality scores for only 2 out of 10 quality indicators. The Most Wired hospitals did not significantly underperform for any indicator.

CONCLUSION

Most Wired hospitals outperformed other hospitals on most objective quality of care measures. However, some of the results were significantly attenuated by other factors associated with quality, suggesting that for specific indicators, "Most Wired" may be a marker of overall quality more than an independent factor. More research is needed on how overall implementation of health information technology directly affects quality of care measures.

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