Using biomarkers to predict healthcare costs: Evidence from a UK household panel

Davillas, Apostolos and Pudney, Stephen (2020) Using biomarkers to predict healthcare costs: Evidence from a UK household panel. Journal of Health Economics, 73. ISSN 0167-6296

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Abstract

We investigate the extent to which healthcare service utilisation and costs can be predicted from biomarkers, using the UK Understanding Society panel. We use a sample of 2,314 adults who reported no history of diagnosed long-lasting health conditions at baseline (2010/11), when biomarkers were collected. Five years later, their GP, outpatient (OP) and inpatient (IP) utilisation was observed. We develop an econometric technique for count data observed within ranges and a method of combining administrative reference cost data with the survey data without exact individual-level matching. Our composite biomarker index (allostatic load) is a powerful predictor of costs: for those with a baseline allostatic load of at least one standard deviation (1-s.d.) above mean, a 1-s.d. reduction reduces GP, OP and IP costs by around 18%.

Item Type:	Article
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Health Economics Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Depositing User:	LivePure Connector
Date Deposited:	02 Jul 2020 23:59
Last Modified:	20 Apr 2023 17:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/75887
DOI:	10.1016/j.jhealeco.2020.102356

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