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Involving Members of the Public in Health Economics Research: Insights from Selecting Health States for Valuation to Estimate Quality-Adjusted Life-Year (QALY) Weights

Overview of attention for article published in Applied Health Economics and Health Policy, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Involving Members of the Public in Health Economics Research: Insights from Selecting Health States for Valuation to Estimate Quality-Adjusted Life-Year (QALY) Weights
Published in
Applied Health Economics and Health Policy, October 2017
DOI 10.1007/s40258-017-0355-5
Pubmed ID
Authors

Elizabeth Goodwin, Kate Boddy, Lynn Tatnell, Annie Hawton

Abstract

Over recent years, public involvement in health research has expanded considerably. However, public involvement in designing and conducting health economics research is seldom reported. Here we describe the development, delivery and assessment of an approach for involving people in a clearly defined piece of health economics research: selecting health states for valuation in estimating quality-adjusted life-years (QALYs). This involvement formed part of a study to develop a condition-specific preference-based measure of health-related quality of life, the Multiple Sclerosis Impact Scale (MSIS-8D), and the work reported here relates to the identification of plausible, or realistic, health states for valuation. An Expert Panel of three people with multiple sclerosis (MS) was recruited from a local involvement network, and two health economists designed an interactive task that enabled the Panel to identify health states that were implausible, or unlikely to be experienced. Following some initial confusion over terminology, which was resolved by discussion with the Panel, the task worked well and can be adapted to select health states for valuation in the development of any preference-based measure. As part of the involvement process, five themes were identified by the Panel members and the researchers which summarised our experiences of public involvement in this health economics research example: proportionality, task design, prior involvement, protectiveness and partnerships. These are described in the paper, along with their practical implications for involving members of the public in health economics research. Our experience demonstrates how members of the public and health economists can work together to improve the validity of health economics research. Plain Language Summary It has become commonplace to involve members of the public in health service research. However, published reports of involving people in designing health economics research are rare. We describe how we designed a way of involving people in a particular piece of health economics research.The aim of the work was to produce descriptions of different states of health experienced by people with multiple sclerosis (MS). These descriptions have since been rated in terms of how good or bad they are in a way that can be used by the National Institute for Health and Care Excellence (NICE) to make decisions about what services to fund on the NHS.We formed a panel of three people with MS, and designed a task to help the group produce health descriptions likely to be experienced by people with MS. After discussion about jargon, and working together to find more layman's terms, the task worked well, and can be adapted to produce health descriptions for any condition.We identified some key themes about working together that give insights into how members of the public can be involved in health economics research, and show the importance of their involvement in improving the relevance of this research.

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X Demographics

The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Researcher 3 12%
Student > Master 2 8%
Professor 1 4%
Other 3 12%
Unknown 9 36%
Readers by discipline Count As %
Medicine and Dentistry 5 20%
Nursing and Health Professions 4 16%
Social Sciences 4 16%
Neuroscience 2 8%
Economics, Econometrics and Finance 1 4%
Other 2 8%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2023.
All research outputs
#2,337,653
of 25,724,500 outputs
Outputs from Applied Health Economics and Health Policy
#77
of 848 outputs
Outputs of similar age
#44,068
of 337,751 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#1
of 14 outputs
Altmetric has tracked 25,724,500 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.