Bojke, Chris, Castelli, Adriana orcid.org/0000-0002-2546-419X, Grasic, Katja et al. (2 more authors) (2018) Accounting for the quality of NHS output. Discussion Paper. CHE Research Paper . Centre for Health Economics, University of York , York, UK.
Abstract
Output measures used in the national accounts aspire to capture as comprehensively and accurately as possible the value that society places on everything produced by the economy. Given that economies produce heterogeneous products, some means of defining and valuing these is required so that a single aggregate measure of output can be constructed. For products traded in the market economy this is conceptually quite straightforward, but it requires the assumption that prices reflect marginal social values and equate to the marginal costs of production. For products and services made available by the ‘non-market’ economy, encompassing sectors such as defence, education and health systems, among others, the above assumption does not hold. People access and use the services provided by these sectors but rarely pay for them at point of use or, if they have to pay something out-of-pocket, it is usually subsidised. So, for ‘non-market’ products, two ways have been proposed to construct an equivalent output measure: (1) to substitute information about the price of the output with its cost of production, making the assumption that marginal costs equate to marginal social values and (2) to describe and capture the characteristics of each product, recognising that products with more desirable characteristics are of greater value. In common parlance, this bundle of characteristics reflects the overall ‘quality’ of the product. A combination of these two general approaches has been adopted to assess the contribution of the English National Health Service (NHS) in the national accounts. Current practice in accounting for the quality of healthcare services makes use of routinely available information in order to capture the QALYs associated with treating patients, by combining information on survival rates, life expectancy and a measure of change in health status before and after treatment. The process of care delivery is captured by measures of treatment waiting times. This approach may overlook other important characteristics of the quality of healthcare. This review provides the conceptual framework needed to select potentially appropriate characteristics of healthcare outputs. To this end we evaluated three published sets of criteria developed by national bodies responsible for assessing healthcare system performance. We also sought the opinions of UK experts on quality expressed at a workshop. From this process seven criteria were established. We next reviewed two sources of quality indicators currently collected and reported for the English NHS: the NHS Outcomes Framework indicators and NHS Thermometer indicators. A schema, including indicator name and source, data source, time period covered, definitions and purpose, was developed for each of the indicators. Indicators were individually assessed by the research team, and one expert from the Department of Health and one from the Office for National Statistics in order to establish whether they met each of the identified criteria. Depending on the level of consensus among reviewers, a maximum of 17 indicators were short-listed for potential use as quality adjustors for NHS output, all of which are NHS Outcomes Framework indicators.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York) > CHE Research Papers (York) |
Depositing User: | Pure (York) |
Date Deposited: | 10 Jul 2018 14:20 |
Last Modified: | 02 Feb 2025 00:02 |
Status: | Published |
Publisher: | Centre for Health Economics, University of York |
Series Name: | CHE Research Paper |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132902 |
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