SUMMARY Market‐based solutions are often proposed to improve health care quality; yet evidence on the role of competition in quality in non‐hospital settings is sparse. We examine the relationship between competition and quality in home health care. This market is different from other...

We evaluated four methods for computing confidence intervals for cost-effectiveness ratios developed from randomized controlled trials: the box method, the Taylor series method, the nonparametric bootstrap method and the Fieller theorem method. We performed a Monte Carlo experiment to compare...

This paper reports on a study of manager perceptions of the cost to employers of on-the-job employee illness, sometimes termed 'presenteeism,' for various types of jobs. Using methods developed previously, the authors analyzed data from a survey of more than 800 US managers to determine the...

Because costs and outcomes of medical treatments may vary from country to country in important ways, decision makers are increasingly interested in having data based on their own country's health care situations. This paper proposes methods for estimating country-specific cost-effectiveness...

Using data from a survey of 800 managers in 12 industries, we find empirical support for the hypothesis that the cost associated with missed work varies across jobs according to the ease with which a manager can find a perfect replacement for the absent worker, the extent to which the worker...

We evaluated three questions that commonly arise when unit costing exercises for multinational trials are conducted: (1) In countries where investigators plan to collect hospital unit cost estimates for a selected set of diagnoses, how should one estimate unit costs for the remaining diagnoses...

General health state classification systems, such as the EuroQol instrument, have been developed to improve the systematic measurement and comparability of health state preferences. In this paper we generate valuations for EuroQol health states using responses to this instrument's visual...

This study is motivated by the potential problem of using observational data to draw inferences about treatment outcomes when experimental data are not available. We compare two statistical approaches, ordinary least-squares (OLS) and instrumental variables (IV) regression analysis, to estimate...