Evidence map›Paper›PMID 33990897›Full record

ArticleHealth economics review2021

Mendelian randomization: estimation of inpatient hospital costs attributable to obesity.

Katherine Dick, John E Schneider, Andrew Briggs, Pascal Lecomte, Stephane A Regnier, Michael Lean

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In one paragraph

Article in Health economics review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Katherine DickAvalon Health Economics, 26 Washington St. 2nd Floor, Morristown, NJ, 07960, USA. Katherine.Dick@AvalonEcon.com.
John E SchneiderAvalon Health Economics, 26 Washington St. 2nd Floor, Morristown, NJ, 07960, USA.
Andrew BriggsAvalon Health Economics, 26 Washington St. 2nd Floor, Morristown, NJ, 07960, USA.
Pascal LecomteNovartis AG, WSJ - 210.15.30.23, CH-4056, Basel, Switzerland.
Stephane A RegnierNovartis AG, WSJ - 210.15.30.23, CH-4056, Basel, Switzerland.
Michael LeanUniversity of Glasgow, University Avenue, Glasgow, G12 8QQ, Scotland.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundMendelian Randomization is a type of instrumental variable (IV) analysis that uses inherited genetic variants as instruments to estimate causal effects attributable to genetic factors. This study aims to estimate the impact of obesity on annual inpatient healthcare costs in the UK using linked data from the UK Biobank and Hospital Episode Statistics (HES).

methodsUK Biobank data for 482,127 subjects was linked with HES inpatient admission records, and costs were assigned to episodes of care. A two-stage least squares (TSLS) IV model and a TSLS two-part cost model were compared to a naïve regression of inpatient healthcare costs on body mass index (BMI).

resultsThe naïve analysis of annual cost on continuous BMI predicted an annual cost of £21.61 [95% CI £20.33 - £22.89] greater cost per unit increase in BMI. The TSLS IV model predicted an annual cost of £14.36 [95% CI £0.31 - £28.42] greater cost per unit increase in BMI. Modelled with a binary obesity variable, the naïve analysis predicted that obese subjects incurred £205.53 [95% CI £191.45 - £219.60] greater costs than non-obese subjects. The TSLS model predicted a cost £201.58 [95% CI £4.32 - £398.84] greater for obese subjects compared to non-obese subjects.

conclusionsThe IV models provide evidence for a causal relationship between obesity and higher inpatient healthcare costs. Compared to the naïve models, the binary IV model found a slightly smaller marginal effect of obesity, and the continuous IV model found a slightly smaller marginal effect of a single unit increase in BMI.

Indexed as

EconomicsGeneticsHealthcare utilizationInstrumental variablesMendelian randomizationObesity

Identifiers

PMID33990897
PMCPMC8122556

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