PubMed Health⌕ Search

Biomedical subjects

G Pink

Publications and source records attributed to G Pink.

18 recordsLinked to original sources

Balancing incentives in the compensation contracts of nonprofit hospital CEOs.

Given the considerable insight into corporate governance achieved through studies of executive compensation in proprietary firms it is surprising that executive contracting in nonprofit organizations remains largely unexplored. In this paper, we use the multitask principal agent model of Holmström and Milgrom [The Journal of Law, Economics and Organization 7 (1991) (Suppl.) 24] to argue that nonprofit hospitals represent an optimal response to information asymmetries between managers and boards. For a board with multidimensional objectives, the agency problem is getting top executives to distribute their efforts across all dimensions of the hospital's mission. The nonprofit form is preferred because the absence of high powered incentives such as share ownership reduces executives' incentives to place undue emphasis on improving financial performance at the expense of important but less observable tasks. Using newly available compensation data we test the model by comparing the conditional distributions of earnings for industrial and nonprofit hospital CEOs in Ontario. Our best estimates are that CEOs in publicly traded firms earn twice as much on average as those in similarly sized nonprofit hospitals but bear roughly eight times the income variance. Estimates of the associated degree of risk aversion are well within conventional bounds and are consistent with the trade-off between insurance and incentives predicted by the theory.

Chief Executive Officers, Hospital↗

Classifying psychiatric inpatients: seeking better measures.

BACKGROUND: Use of case-mix reimbursement in psychiatric inpatients has been limited as a result of a lack of systems which effectively group patients according to required resource needs. In recognition of the fact that many patient factors, in addition to diagnosis influence delivery of care in psychiatry, new measures of patient need are emerging. OBJECTIVE: This study compared improvement realized by using a multidimensional measure of patient severity, the Computerized Severity Index (CSI), to predict length of stay (LOS) in psychiatric inpatients over that achieved by using patient variables routinely collected in the discharge abstract. METHOD: Through retrospective chart review, severity ratings were made on 355 psychiatric discharges with primary diagnoses of psychotic or major depressive disorders. Those ratings were combined with demographic and diagnostic data available in discharge abstracts and were then entered into multivariate regression analyses to model LOS. RESULT: CSI ratings significantly contributed to prediction models, which accounted for an additional 9% to 11% of variation in LOS over discharge abstract data. Among patients with psychotic disorders, maximum severity during hospitalization was the best predictor of LOS, whereas among patients with depressive disorders, it was an increase in severity following admission. CONCLUSION: Severity ratings, based on chart review, improved prediction of LOS over discharge abstract variables for psychiatric inpatients in two diagnostic groups. Further research is needed to estimate the impact of incorporating severity ratings into a grouping system for all psychiatric inpatients. Estimation of predictive accuracy is important to determine the amount of risk passed on to providers in a payment system based on psychiatric case mix.

Comorbidity↗

Determining Ontario's supply and requirements for ophthalmologists in 2000 and 2005: 1. Methods.

BACKGROUND: We performed a study to determine the supply of and requirements for ophthalmologists in Ontario in 2000 and 2005. In this paper we describe our methods. METHODS: The future supply of ophthalmologists was estimated by means of iterative multiple regression analysis using the baseline number of ophthalmologists, the number of ophthalmology residents and the numbers of ophthalmologists entering and exiting the workforce between 1989 and 2004. Data were obtained from the Ontario Physician Human Resource Data Centre, Statistics Canada, the Ontario Ministry of Finance and residency program directors of Ontario universities. We calculated requirements using four models. The physician:population ratio method used an ophthalmologist:population ratio (1:29,650) proposed by the Royal College of Physicians and Surgeons of Canada and Statistics Canada population projections for 2000 and 2005. The utilization-based, substitution and needs-based models used Ontario Health Insurance Plan data for 1995. The supply and requirements are expressed as full-time equivalents, defined as the average number of minutes worked by ophthalmologists in 1995. The 401 ophthalmologists practising in Ontario in 1995 accounted for 452 full-time equivalents. INTERPRETATION: Incorporating the results of several requirement models increases the reliability and acceptability of estimates of physician workforce requirements.

Female↗

Determining Ontario's supply and requirements for ophthalmologists in 2000 and 2005: 2. A comparison of projected supply and requirements.

BACKGROUND: To determine whether the projected supply of ophthalmologists in 2000 and 2005 in Ontario will be matched by the predicted requirements. METHODS: Described in the accompanying paper (page 74). RESULTS: Multiple regression analysis predicted a supply of 485 +/- 15 full-time-equivalent (FTE) ophthalmologists in 2000 and 476 +/- 14 FTEs in 2005. Except for the needs-based method of determining requirements, which generated a figure of 524 +/- 16 to 533 +/- 16 FTEs, the requirement methods yielded estimates that were within the range of the projected supply for 2000 (physician:population ratio method 458, utilization-based method 500 +/- 15 and substitution method 470 +/- 14 to 490 +/- 15). For 2005, only the physician:population ratio method gave an FTE requirement estimate (489) that was in keeping with the projected supply. The other models gave FTE estimates that were higher than the projected supply (utilization-based model 559 +/- 17, substitution model 526 +/- 16 to 548 +/- 16, and needs-based model 585 +/- 18 to 596 +/- 18). INTERPRETATION: The reduction in the number of ophthalmology residents in Ontario that began in 1994 will not affect the short-term requirements for ophthalmologists but may result in fewer ophthalmologists than will be necessary to fulfil Ontario's requirements in 2005 and beyond. Possible solutions include doubling the number of residency positions beginning in 1999.

Female↗

Designing health care information systems for integrated delivery systems: where we are and where we need to be.

A critical step in evolving an integrated delivery system (IDS) is planning, designing, and technologically realizing an efficient, appropriate, and effective infrastructure for developing an integrated network of information systems. The key to meeting this objective philosophically, logically, and physically in the face of rapid advances in computing technology and communication trends is often poorly understood by health providers and managers. The article discusses the concept of a total quality management information system model and illustrates how this sort of thinking can be applied to guide the critical steps that must be undertaken to plan, design, and develop a networked infrastructure of health care information systems that can facilitate information exchange and sharing among multiple health care providers within an IDS.

Canada↗

Prediction of the financial performance of Ontario hospitals: a test of environmental determinist and adaptationist perspectives.

While other industries for many years have been concerned with the problem of financial distress, it is only recently that this issue has become a matter of interest to hospital managers, policy makers, and the general public. However, the determinants of hospital financial performance are neither well studied nor understood. The objectives of this study were to identify factors that affect the financial performance of Ontario hospitals and to construct a model that could be used to predict financial performance in the future. A number of organization and environmental factors that could influence financial performance were postulated and then tested for their statistical impact and predictive ability. Cross-sectional data over the 3-year-period 1986-1988 for 223 Ontario public hospitals were used. The first 2 years of data served as a derivation sample for hypothesis testing and development of a predictive model. The third year of data was used as a holdout sample for cross validation. Information on the variables investigated came from secondary sources, in particular Statistics Canada's Annual Hospital Returns. Univariate analyses revealed distressed hospitals were more likely to earn more revenues from non-government sources, to be non-teaching institutions and have longer chronic lengths of stay, and to be found in areas with higher per capita incomes, number of females in the population, physician supply, and area wage rates. A five variable prediction model was developed which accounted for 25% of the variance in financial performance in the derivation sample and on cross validation dropped to 21%. The model identified greater hospital size, older plants, higher technological complexity, more intensive care services, and location in areas with more females to be significant predictors of financial distress. Overall, environmental factors (community and structural characteristics) were more important in influencing financial performance. The implication for hospital managers is to underscore that an important dimension of successful leadership requires they remain outwardly focused and involved in managing the external environment. For policy makers the need is to develop funding formulae which encourage efficiency and are also responsive to differences in community and structural characteristics across hospitals.

Cross-Sectional Studies↗

The price of truth.

Explore the source record for details and available documents.

Anecdotes as Topic↗

UKCC. Behind closed doors.

Explore the source record for details and available documents.

Acquired Immunodeficiency Syndrome↗

Heads in the sand.

Explore the source record for details and available documents.

Humans↗

Measuring nursing workload for case costing.

It is important for nurse executives to understand the consequences of different methods of measuring nursing costs in determining total patient care costs. Nursing is the largest component of a case cost and the study reported in this article examined the impact of using different nursing workload measurement systems in developing case costs and how they relate to nurse executives. The considerable consequences of these findings for case costing are discussed.

Costs and Cost Analysis↗