PMID- 28237460 OWN - NLM STAT- MEDLINE DCOM- 20180220 LR - 20191210 IS - 1873-5347 (Electronic) IS - 0277-9536 (Linking) VI - 179 DP - 2017 Apr TI - The impact of healthcare spending on health outcomes: A meta-regression analysis. PG - 9-17 LID - S0277-9536(17)30113-2 [pii] LID - 10.1016/j.socscimed.2017.02.024 [doi] AB - While numerous studies assess the impact of healthcare spending on health outcomes, typically reporting multiple estimates of the elasticity of health outcomes (most often measured by a mortality rate or life expectancy) with respect to healthcare spending, the extent to which study attributes influence these elasticity estimates is unclear. Accordingly, we utilize a meta-data set (consisting of 65 studies completed over the 1969-2014 period) to examine these elasticity estimates using meta-regression analysis (MRA). Correcting for a number of issues, including publication selection bias, healthcare spending is found to have the greatest impact on the mortality rate compared to life expectancy. Indeed, conditional on several features of the literature, the spending elasticity for mortality is near -0.13, whereas it is near to +0.04 for life expectancy. MRA results reveal that the spending elasticity for the mortality rate is particularly sensitive to data aggregation, the specification of the health production function, and the nature of healthcare spending. The spending elasticity for life expectancy is particularly sensitive to the age at which life expectancy is measured, as well as the decision to control for the endogeneity of spending in the health production function. With such results in hand, we have a better understanding of how modeling choices influence results reported in this literature. CI - Copyright (c) 2017 Elsevier Ltd. All rights reserved. FAU - Gallet, Craig A AU - Gallet CA AD - California State University at Sacramento, Sacramento, CA, USA. Electronic address: cgallet@csus.edu. FAU - Doucouliagos, Hristos AU - Doucouliagos H AD - Deakin University, Victoria, Australia. Electronic address: douc@deakin.edu.au. LA - eng PT - Journal Article PT - Meta-Analysis DEP - 20170220 PL - England TA - Soc Sci Med JT - Social science & medicine (1982) JID - 8303205 RN - 0 (Prescription Drugs) SB - IM MH - Age Factors MH - Costs and Cost Analysis MH - Developed Countries MH - Health Expenditures/*statistics & numerical data MH - Humans MH - *Life Expectancy MH - *Mortality MH - Outcome Assessment, Health Care MH - Prescription Drugs/economics MH - Private Sector/economics MH - Public Sector/economics MH - Regression Analysis MH - Residence Characteristics MH - Sex Factors MH - Socioeconomic Factors OTO - NOTNLM OT - Healthcare spending OT - Life expectancy OT - Meta-regression OT - Mortality OT - Publication bias EDAT- 2017/02/27 06:00 MHDA- 2018/02/21 06:00 CRDT- 2017/02/27 06:00 PHST- 2016/05/09 00:00 [received] PHST- 2017/02/01 00:00 [revised] PHST- 2017/02/14 00:00 [accepted] PHST- 2017/02/27 06:00 [pubmed] PHST- 2018/02/21 06:00 [medline] PHST- 2017/02/27 06:00 [entrez] AID - S0277-9536(17)30113-2 [pii] AID - 10.1016/j.socscimed.2017.02.024 [doi] PST - ppublish SO - Soc Sci Med. 2017 Apr;179:9-17. doi: 10.1016/j.socscimed.2017.02.024. Epub 2017 Feb 20.