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Related Experiment Video

Updated: Jul 10, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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NHS reference costs: a history and cautionary note.

Ben Amies-Cull1, Ramon Luengo-Fernandez2, Peter Scarborough3

  • 1Nuffield Department of Primary Care Health Sciences, Gibson Building, Woodstock Rd, Oxford, OX2 6GG, UK. ben.amies-cull@phc.ox.ac.uk.

Health Economics Review
|November 22, 2023
PubMed
Summary

The National Health Service (NHS) transitioned from aggregate reference costs to patient-level cost data collection. While this aims for greater accuracy, understanding its impact on service quality and resource allocation requires further investigation and investment.

Keywords:
Health economicsHealthcare costingHealthcare financing

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Area of Science:

  • Health Economics
  • Healthcare Management
  • Health Services Research

Background:

  • Historically, the National Health Service (NHS) lacked routine cost data collection, unlike private insurance systems.
  • Mandated in 1998, NHS trusts began submitting reference costs (estimates of service costs) for health economic evaluations and pricing.
  • Traditional top-down reference cost collection suffered from inaccuracies and lack of comparability, undermining credibility.

Purpose of the Study:

  • To address limitations in traditional reference cost data by exploring the implementation of patient-level cost data collection.
  • To improve the accuracy, comparability, and understanding of healthcare cost drivers within the NHS.
  • To assess the potential and challenges associated with a bottom-up approach to costing patient episodes.

Main Methods:

  • Transition from aggregate, top-down budget disaggregation to patient-level cost data collection.
  • Incorporating bottom-up capture of the 'causality of costs' for individual patient episodes.
  • Utilizing a combination of budget disaggregation and patient-specific resource allocation.

Main Results:

  • Patient-level cost methods offer potential improvements in data quality and consistency between providers.
  • Significant challenges remain in achieving consistency across trusts and fully understanding the implications of cost data changes.
  • Many healthcare resources are not attributable to individual patients, questioning the feasibility of purely 'patient-level' costs.

Conclusions:

  • Patient-level cost data holds potential for enhanced health economic evaluations but requires substantial investment to realize.
  • The utility of patient-level cost data is limited without concurrent understanding of service quality, patient need, and system impact.
  • Further research is crucial to validate the quality of new patient-level cost data and guide its effective integration into the healthcare system.