Mújica‐Mota, RE, Landa, P, Pitt, M et al. (2 more authors) (2020) The heterogeneous causal effects of neonatal care: a model of endogenous demand for multiple treatment options based on geographical access to care. Health Economics, 29 (1). pp. 46-60. ISSN 1057-9230
Abstract
Neonatal units in the UK are organised into three levels, from highest Neonatal Intensive Care Unit (NICU), to Local Neonatal Unit (LNU) to lowest Special Care Unit (SCU). We model the endogenous treatment selection of neonatal care unit of birth to estimate the average and marginal treatment effects of different neonatal designations on infant mortality, length of stay and hospital costs. We use prognostic factors, survival and hospital care use data on all preterm births in England for 2014–2015, supplemented by national reimbursement tariffs and instrumental variables of travel time from a geographic information system. The data were consistent with a model of demand for preterm birth care driven by physical access. In‐hospital mortality of infants born before 32 weeks was 8.5% overall, and 1.2 (95% CI: −0.7, 3.2) percentage points lower for live births in hospitals with NICU or SCU compared to those with an LNU according to instrumental variable estimates. We find imprecise differences in average total hospital costs by unit designation, with positive unobserved selection of those with higher unexplained absolute and incremental costs into NICU. Our results suggest a limited scope for improvement in infant mortality by increasing in‐utero transfers based on unit designation alone.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 John Wiley & Sons, Ltd. This is the peer reviewed version of the following article: Mújica‐Mota, RE, Landa, P, Pitt, M et al. (2 more authors) (2020) The heterogeneous causal effects of neonatal care: a model of endogenous demand for multiple treatment options based on geographical access to care. Health Economics, 29 (1). pp. 46-60. ISSN 1057-9230, which has been published in final form at https://doi.org/10.1002/hec.3970. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
Keywords: | average treatment effects; control function; Endogeneity; geographical access; instrumental variables; multiple treatments; neonatal; policy evaluation; seemingly unrelated regression equations; latent factor; semi‐parametric |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Academic Unit of Health Economics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jan 2020 10:56 |
Last Modified: | 19 Nov 2020 01:39 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/hec.3970 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155890 |