Relative Productivity of For-Profit Hospitals: A Big or a Little Deal?

This study asks: Does the empirical evidence support the conclusion that for-profit (FP) hospitals are more productive or efficient than private not-for-profit (NFP) hospitals or non-federal public (PUB) hospitals? Alternative theories of NFP behavior are described. Our review of individual empirical hospital studies of quality, service mix, community benefit, and cost/efficiency in the United States published since 2000 indicates that no systematic difference exists in cost/efficiency, provision of uncompensated care, and quality of care. But FPs are more likely to provide profitable services, higher service intensity, have lower shares of uninsured and Medicaid patients, and are more responsive to external financial incentives.

Biased technical change in hospital care and the demand for physicians.

Background: The development of labour productivity is relevant for accurately planning future staffing requirements, especially in sectors where technological developments may drive labour substitution. The present study investigates how labour productivity has developed across Dutch medical specialists (2007-2017) and discusses its implications for workforce planning, also in relation to the existing literature.

Methods: A regression model is developed in which the number of full-time equivalents is related to production (admissions), hospital characteristics and a trend parameter.

A robust analysis of hospital efficiency and factors affecting variability.

The objectives of this paper are to use data envelopment analysis to measure hospital inefficiency in a way that accounts for patient outcomes and to study the association between organizational factors, such as hospital-physicians integration level and teaching status, and market competition with hospital inefficiency. We apply the robust data envelopment analysis approach to a sample of private (both not-for-profit and for-profit) hospitals operating in the United States. Our data envelopment analysis model includes mortality and readmission rates as bad outputs and admissions, surgeries, emergency room, and other visits as good outputs.

Concentrating Emergency Rooms: Penny-Wise and Pound-Foolish? An Empirical Research on Scale Economies and Chain Economies in Emergency Rooms in Dutch Hospitals.

In this paper, we address the issue of whether it is economically advantageous to concentrate emergency rooms (ERs) in large hospitals. Besides identifying economies of scale of ERs, we also focus on chain economies. The latter term refers to the effects on a hospital's costs of ER patients who also need follow-up inpatient or outpatient hospital care.

Care Appropriateness and Health Productivity Evolution: A Non-Parametric Analysis of the Italian Regional Health Systems.

Background: There has been increasing interest in measuring the productive performance of healthcare services since the mid-1980s.

Objective: By applying bootstrapped data envelopment analysis across the 20 Italian Regional Health Systems (RHSs) for the period 2008-2012, we employed a two-stage procedure to investigate the relationship between care appropriateness and productivity evolution in public hospital services.

Methods: In the first stage, we estimated the Malmquist index and decomposed this overall measure of productivity into efficiency and technological change.

Work Impact and Emotional Stress Among Informal Caregivers for Older Adults.

Objectives: With the growing aging population and reliance on informal caregivers in the United States, many individuals will take on the role of caregiver as an adult. We examined whether informal caregivers experience work interference or a change in work status (i.e.

Assessing overall, technical, and scale efficiency among home health care agencies.

While home health care agencies (HHAs) play a vital role in the production of health, little research has been performed gauging their efficiency. Employing a robust approach to data envelopment analysis (DEA) we assessed overall, technical, and scale efficiency on a nationwide sample of HHAs. After deriving the three efficiency measures, we regressed these scores on a variety of environmental factors.

Opportunities for Prevention: Assessing Where Low-Income Patients Seek Care for Preventable Coronary Artery Disease.

The Affordable Care Act has many aspects that are aimed at improving health care for all Americans, including mandated insurance coverage for individuals, as well as required community health needs assessments (CHNAs), and reporting of investments in community benefit by nonprofit hospitals in order to maintain tax exemptions. Although millions of Americans have gained access to health insurance, many--often the most vulnerable--remain uninsured, and will continue to depend on hospital community benefits for care. Understanding where patients go for care can assist hospitals and communities to develop their CHNA and implementation plans in order to focus resources where the need for prevention is greatest.

Technology diffusion in hospitals: a log odds random effects regression model.

This study identifies the factors that affect the diffusion of hospital innovations. We apply a log odds random effects regression model on hospital micro data. We introduce the concept of clustering innovations and the application of a log odds random effects regression model to describe the diffusion of technologies.

Renovating Charity Hospital or building a new hospital in post-Katrina New Orleans: economic rationale versus political will.

Since September 2005, Charity Hospital of New Orleans has been closed due to Hurricane Katrina. A debate following the closing arose about whether this public hospital should be renovated or a new medical center affiliated with the Louisiana State University should be built. Using academic literature, government statistics, and popular press reports, we describe the economic implications that support the view that Charity Hospital should have been renovated.

Response to modeling and notation of DEA with strong and weak disposable outputs.

In this brief communiction we respond to comments on our earlier publication, which contained some notational errors.

Measuring economies of scale at the city market level.

Data envelopment analysis (DEA) techniques have been applied to the assessing efficiency and productivity among individual hospitals. In this article, we employ DEA to address whether economies of scale exist among hospital markets by first assessing individual hospitals operating in 2005 in the State of Florida and then by comparing hospital markets' efficiency relative to each other. The interest in hospital markets stems from issues relating to mergers among hospitals or the reallocation of services (inputs) among hospitals in a market area, particularly as occupancy rates and reimbursements are tending to fall.

Social efficiency of hospital care delivery: frontier analysis from the consumer's perspective.

The efficiency of hospital services and patients' access to hospitals are both important health care policy issues. In the past, research has relied on studying these topics separately. In this article, we measure both efficiency and access at the same time using data envelopment analysis (DEA).

The impact of CON regulation on hospital efficiency.

In this paper we propose an empirically implementable measure of aggregate-level efficiency along the lines of Debreu's (1951) coefficient of resource utilization but restricted to the production side. The efficiency measure is based on directional distance functions, which allows the overall measure of efficiency to be decomposed into measures of technical and "structural" efficiency. The latter measure, which captures inefficiencies associated with the organization of production within an industry, is further decomposed into measures of scale and mix efficiency.

Environmental factors and productivity on Dutch hospitals: a semi-parametric approach.

This paper describes the efficiency of Dutch hospitals using the method of Data Envelopment Analysis (DEA). In particular the analysis focuses on explaining cost inefficiency measures due to each hospital's operating environment. In previous works, the resulting DEA score is regressed on environmental factors via a Tobit approach.

Hospital quality, efficiency, and input slack differentials.

Objective: To use an advance in data envelopment analysis (DEA) called congestion analysis to assess the trade-offs between quality and efficiency in U.S. hospitals.

Hospital efficiency and debt.

U.S. Hospitals rely heavily on debt financing to fund major capital investments.

Do public health clinics reduce rehospitalizations?: the urban diabetes study.

Safety-net health clinics have been shown to reduce hospitalizations for ambulatory care-sensitive conditions. Their impact on rehospitalization after hospital discharge is unknown. We hypothesized that use of publicly-funded safety-net health clinics would reduce rates of rehospitalization among patients with diabetes.

Is more better? An analysis of hospital outcomes and efficiency with a DEA model of output congestion.

This paper applies a new methodology to the study of hospital efficiency and quality of care. Using a data set of hospitals from several states, we jointly evaluate desirable hospital patient care output (e.g.

Nutritionist visits, diabetes classes, and hospitalization rates and charges: the Urban Diabetes Study.

Objective: We evaluated the association of different types of educational visits for diabetic patients of the eight Philadelphia Health Care Centers (PHCCs) (public safety-net primary care clinics), with hospital admission rates and charges reported to the Pennsylvania Health Care Cost Containment Council.

Research Design And Methods: The study population included 18,404 patients who had a PHCC visit with a diabetes diagnosis recorded between 1 March 1993 and 31 December 2001 and had at least 1 month follow-up time.

Results: A total of 31,657 hospitalizations were recorded for 7,839 (42.

Analysis of uncompensated hospital care using a DEA model of output congestion.

Uncompensated care can create financial difficulties for hospitals. The problem is likely to worsen as the number of individuals lacking health insurance continues to grow. The objective of this study is to measure how uncompensated care affects hospitals' ability to provide the services for which they do receive compensation.