Cookies?
Library Header Image
LSE Research Online LSE Library Services

Clinical negligence cases in the English NHS: uncertainty in evidence as a driver of settlement costs and societal outcomes

Carter, Alex ORCID: 0000-0003-3793-407X, Mossialos, Elias ORCID: 0000-0001-8664-9297, Redhead, Julian and Papalois, Vassilios (2022) Clinical negligence cases in the English NHS: uncertainty in evidence as a driver of settlement costs and societal outcomes. Health Economics, Policy and Law, 17 (3). pp. 266-281. ISSN 1744-1331

[img] Text (HEPL submission_final internal only 15032021) - Accepted Version
Pending embargo until 1 January 2100.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (823kB) | Request a copy
[img] Text (clinical-negligence-cases-in-the-english-nhs-uncertainty-in-evidence-as-a-driver-of-settlement-costs-and-societal-outcomes) - Published Version
Available under License Creative Commons Attribution.

Download (477kB)

Identification Number: 10.1017/S1744133121000177

Abstract

The cost of clinical negligence claims continues to rise, despite efforts to reduce this now ageing burden to the National Health Service (NHS) in England. From a welfarist perspective, reforms are needed to reduce avoidable harm to patients and to settle claims fairly for both claimants and society. Uncertainty in the estimation of quanta of damages, better known as financial settlements, is an important yet poorly characterised driver of societal outcomes. This reflects wider limitations to evidence informing clinical negligence policy, which has been discussed in recent literature. There is an acute need for practicable, evidence-based solutions that address clinical negligence issues, and these should complement long-standing efforts to improve patient safety. Using 15 claim cases from one NHS Trust between 2004 and 2016, the quality of evidence informing claims was appraised using methods from evidence-based medicine. Most of the evidence informing clinical negligence claims was found to be the lowest quality possible (expert opinion). The extent to which the quality of evidence represents a normative deviance from scientific standards is discussed. To address concerns about the level of uncertainty involved in deriving quanta, we provide five recommendations for medico-legal stakeholders that are designed to reduce avoidable bias and correct potential market failures.

Item Type: Article
Official URL: https://www.cambridge.org/core/journals/health-eco...
Additional Information: Funding Information: Financial support. This work was supported by the National Institute for Health Research (NIHR) Imperial Patient Safety Translation Research Centre. Infrastructure support was provided by the NIHR Imperial Biomedical Research Centre. Publisher Copyright: Copyright © The Author(s), 2021. Published by Cambridge University Press.
Divisions: Health Policy
Subjects: R Medicine > RA Public aspects of medicine > RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Date Deposited: 15 Jun 2021 13:18
Last Modified: 07 Apr 2024 16:48
URI: http://eprints.lse.ac.uk/id/eprint/110862

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics