Modelling the dynamic effects of elective hospital admissions on emergency levels in England

Author:

Jimenez-Martin Sergi,Nicodemo CatiaORCID,Redding Stuart

Abstract

Abstract In England as elsewhere, policy makers are trying to reduce the pressure on costs due to rising hospital admissions by encouraging GPs to refer fewer patients to hospital specialists. This could have an impact on elective treatment levels, particularly procedures for conditions which are not life-threatening and can be delayed or perhaps withheld entirely. This study attempts to determine whether cost savings in one area of publicly funded health care may lead to the increases in cost in another and therefore have unintended consequences by offsetting the cost-saving benefits anticipated by policy makers. Using administrative data from Hospital Episode Statistics in England, we estimate dynamic fixed effects panel data models for emergency admissions at Primary Care Trust and Hospital Trust levels for the years 2004–2013, controlling for a group of area-specific characteristics and other secondary care variables. We find a negative link between current levels of elective care and future levels of emergency treatment. This observation comes from a time of growing admissions, and there is no guarantee that the link between emergency and elective activity will persist if policy is effective in reducing levels of elective treatment, but our results suggest that the cost-saving benefits to the NHS from reducing elective treatment are reduced by between 5.6 and 15.5% in aggregate as a consequence of increased emergency activity.

Funder

Spanish Ministry of Economy and Competitiveness

National Institute for Health Research, Health Services and Delivery Research

Publisher

Springer Science and Business Media LLC

Subject

Economics and Econometrics,Social Sciences (miscellaneous),Mathematics (miscellaneous),Statistics and Probability

Reference31 articles.

1. Al-Sadoon MM, Jiménez-Martín S, Labeaga JM (2019) Simple methods for consistent estimation of dynamic panel data sample selection models. Working Papers 1069, Barcelona Graduate School of Economics

2. Arellano M, Bond S (1991) Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Rev Econ Stud 58(2):277–297

3. Arora S, Charlesworth A, Kelly E, Stoye G (2013) Public payment and private provision: the changing landscape of health care in the 2000s. Research report. Nuffield Trust and Institute for Fiscal Studies

4. Batt RJ, Terwiesch C (2012) Doctors under load: an empirical study of state-dependent service times in emergency care. The Wharton School, The University of Pennsylvania, Philadelphia

5. Black D, Pearson M (2002) Average length of stay, delayed discharge, and hospital congestion: a combination of medical and managerial skills is needed to solve the problem. Br Med J: BMJ 325(7365):610

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3