Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions

نویسندگان

چکیده

The use of the directional distance function (DDF) in empirical studies has steadily increased over past decade due to its general representation a production technology. DDF is particularly useful health economics as tool for modeling hospital Choosing direction when technology with crucial, albeit not fully resolved, issue that important ramifications. We first address choice by using recently proposed approach endogenizing DDF’s vector and then extend it imposing regularity conditions on apply this framework sample U.S. hospitals obtain their characteristics after grouping them into several distinct categories. find publicly owned non-teaching face substantial opportunity costs inpatient care – hundreds outpatient visits must be forgone each additional admission. This information can help these forecast adjustment capacity needed achieve desired level activity. also while urban-area teaching substitute approximately two nurses per bed at frontier technology, rate substitution less than one nurse public well all rural-area hospitals. Information technological trade off between beds helpful administrators policy makers nursing shortages intensify staffing requirements continue debated. In addition, we demonstrate rural hospitals, which heavily rely licensed practical (LPNs) staff beds, are only meaningfully LPNs other inputs, replacing registered medians 17 23 LPNs, respectively.

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ژورنال

عنوان ژورنال: Omega

سال: 2022

ISSN: ['1873-5274', '0305-0483']

DOI: https://doi.org/10.1016/j.omega.2022.102716