经合组织医疗保健系统的生产力变化:偏见纠正的马尔姆奎斯特生产力方法。

Younhee Kim, Dong-hyun Oh, Minah Kang
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引用次数: 12

摘要

本研究评估了30个经济合作与发展组织(OECD)国家在2002-2012年期间医疗保健系统的生产力变化。通过修改原始距离函数,使用自引导Malmquist方法来估计医疗保健绩效在生产力、效率和技术方面的偏差校正指标。两项投入(保健支出和在校预期寿命)和两项产出(出生时预期寿命和婴儿死亡率)用于计算生产率增长。在2002年至2012年期间,生产率变化没有明显的趋势,但大多数经合组织国家的生产率都有了积极的提高。这一结果也反映了各国年度生产率得分的巨大差异。平均每年的生产率增长是由效率和技术变化平均产生的,但这两种变化在不同年份的运行情况有所不同。本研究的结果表明,在过去的十年中,经合组织国家的政策改革提高了医疗保健系统的生产率增长。生产率增长落后的国家应参照其他国家的做法,根据社会经济条件优先考虑可实现的发展轨迹,从而提高绩效。例如,本研究中效率相对较低的国家表明收入不平等程度较高,与不平等和健康结果研究相对应。虽然在本研究中,收入不平等和全球化不是估计医疗保健生产力的直接措施,但这些问题可能是解释未来研究中跨国医疗保健生产力的潜在因素。版权所有©2016 John Wiley & Sons, Ltd。
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Productivity changes in OECD healthcare systems: bias-corrected Malmquist productivity approach.
This study evaluates productivity changes in the healthcare systems of 30 Organization for Economic Co-operation and Development (OECD) countries over the 2002-2012 periods. The bootstrapped Malmquist approach is used to estimate bias-corrected indices of healthcare performance in productivity, efficiency and technology by modifying the original distance functions. Two inputs (health expenditure and school life expectancy) and two outputs (life expectancy at birth and infant mortality rate) are used to calculate productivity growth. There are no perceptible trends in productivity changes over the 2002-2012 periods, but positive productivity improvement has been noticed for most OECD countries. The result also informs considerable variations in annual productivity scores across the countries. Average annual productivity growth is evenly yielded by efficiency and technical changes, but both changes run somewhat differently across the years. The results of this study assert that policy reforms in OECD countries have improved productivity growth in healthcare systems over the past decade. Countries that lag behind in productivity growth should benchmark peer countries' practices to increase performance by prioritizing an achievable trajectory based on socioeconomic conditions. For example, relatively inefficient countries in this study indicate higher income inequality, corresponding to inequality and health outcomes studies. Although income inequality and globalization are not direct measures to estimate healthcare productivity in this study, these issues could be latent factors to explain cross-country healthcare productivity for future research. Copyright © 2016 John Wiley & Sons, Ltd.
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