Nir Menachemi

Measuring Patient Satisfaction's Relationship to Hospital Cost Efficiency: Can Administrators Make a Difference?

Objective: The aim of this study was to assess the ability and means by which hospital administrators can influence patient satisfaction and its impact on costs. Data Sources: Data are drawn from the American Hospital Association’s Annual Survey of Hospitals, federally collected Hospital Cost Reports, and Medicare’s Hospital Compare. Study Design: Stochastic frontier analyses (SFA) are used to test the hypothesis that the patient satisfaction–hospital cost relationship is primarily a latent “management effect.” The null hypothesis is that patient satisfaction measures are main effects under the control of care providers rather than administrators. Principle Findings: Both SFA models were superior to the standard regression analysis when measuring patient satisfaction’s relationship to hospitals’ cost efficiency. The SFA model with patient satisfaction measures treated as main effects, rather than “latent, management effects,” was significantly better comparing the log-likelihood statistics. Higher patient satisfaction scores on the environmental quality and provider communication dimensions were related to lower facility costs. Higher facility costs were positively associated with patients’ overall impressions (willingness to recommend and overall satisfaction), assessments of medication and discharge instructions, and ratings of caregiver responsiveness (pain control and help when called). Conclusions: In the short term, managers have a limited ability to influence patient satisfaction scores, and it appears that working through frontline providers (doctors and nurses) is critical to success. In addition, results indicate that not all patient satisfaction gains are cost neutral and there may be added costs to some forms of quality. Therefore, quality is not costless as is often argued.

Urban Park Development and Pediatric Obesity Rates: A Quasi-Experiment Using Electronic Health Record Data

Introduction: Childhood obesity affects ~20% of children in the United States. Environmental influences, such as parks, are linked with increased physical activity (PA). Objective: To examine whether changes in Body Mass Index (BMI) z-score were associated with construction of a new park. Methods: A quasi-experimental design was used to determine whether living in proximity of a park was associated with a reduction in BMI z-score. Children were selected from health clinics within an 11 mile radius of the park. A repeated-measure ANOVA was employed for analysis of the relationship between exposure (new park) and BMI z-score. Results: Participants were 1443 (median age 10.3 range (2–17.9 years), BMI: z-score 0.84 ± 1.09) African American (77.4%) adolescents. Change in BMI z-score was not statistically different for children living at different distances from the park after controlling for age, gender, race, ethnicity, or payer type (p = 0.4482). We did observe a small 0.03 increase in BMI z-score from pre- to post-park (p = 0.0007). There was a significant positive association between child’s baseline age and BMI z-score (p < 0.001). Conclusions: This study found proximity to a park was not associated with reductions in BMI z-score. Additional efforts to understand the complex relationship between park proximity, access, and PA are warranted.

Planning for Hospital IT Implementation: A New Look at the Business Case

Compared to organizations in other industries, hospitals are slow to adopt information technology (IT). Those planning for system implementation must understand the barriers to IT adoption which, in healthcare, include the relatively high acquisition and maintenance costs of sophisticated administrative and clinical information systems. Understanding the overall business case is particularly important for hospital IT planners. This paper describes the literature that examines benefits from using health IT. In addition, we focus on a series of studies conducted in Florida that provide generalizable evidence regarding the overall business case associated with hospital adoption for information systems. These studies focus broadly on the improved financial, operational, and clinical performance associated with IT.

Show Me the Money! Trends in Funding for Health Services Research

This paper presents longitudinal data representing federal funding for health services research and discusses the observed trends in the larger context of overall funding for research and development in the United States. By putting into context public and private funding trends, the authors examine how these trends effect the supply and demand of the health services research workforce.