Short answer

When designing interventions or evaluating their impact, consider that societal value is not uniform and can be influenced by the characteristics of the end-user, and be mindful of how your research methods might shape the perceived value.

Field
Innovation & Markets
Source
Health Technology Assessment (2010)
Method
Mixed-methods survey-based research (qualitative and quantitative)
Sample
587 participants for the relativities study, 409 for the valuation study.
Evidence
Mixed findings

The public's perceived value of health gains is influenced by the age and severity of illness of the recipient, with different valuation methods yielding varying degrees of impact. This innovation & markets research insight is drawn from a 2010 study published in Health Technology Assessment. Using Mixed-methods survey-based research (qualitative and quantitative) with 587 participants for the relativities study, 409 for the valuation study., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing interventions or evaluating their impact, consider that societal value is not uniform and can be influenced by the characteristics of the end-user, and be mindful of how your research methods might shape the perceived value.

Study
Innovation & MarketsHigh ImpactMixed findings

Public values health gains differently based on recipient age and illness severity

The public's perceived value of health gains is influenced by the age and severity of illness of the recipient, with different valuation methods yielding varying degrees of impact.

Health Technology Assessment · 2010

01

Key Findings

  • 01Discrete choice questions indicated that age and severity of illness had a limited impact on respondents' valuation of QALY gains beyond the health gain itself.
  • 02Matching questions revealed a strong impact of age and severity of illness on the valuation of QALY gains, with significant differences in how gains were weighted for different groups depending on the aggregation method used.
  • 03The study assessed the feasibility of using WTP to value QALYs, suggesting it is a viable approach for understanding public preferences.
02

Application

Design takeaway

When designing interventions or evaluating their impact, consider that societal value is not uniform and can be influenced by the characteristics of the end-user, and be mindful of how your research methods might shape the perceived value.

How to apply

When developing new healthcare products or services, conduct user research that explores not just functional needs but also societal value perceptions, potentially using methods like discrete choice experiments or contingent valuation to understand how factors like age and condition severity influence perceived worth.

Project actions

  • 01When researching user needs, consider exploring not just functional requirements but also the broader societal value or importance users place on the problem you are solving.
  • 02If your design project involves evaluating the impact or benefit of a solution, think about how you might measure or understand the 'value' beyond just usability or performance metrics.
03

Method & Evidence

AimTo determine the characteristics of healthcare beneficiaries that should inform relative weights for health gains and to estimate these weights, while also assessing the feasibility of valuing quality-adjusted life-years (QALYs) using willingness-to-pay (WTP) methods.
MethodMixed-methods survey-based research (qualitative and quantitative)
ProcedureTwo interview-based surveys were conducted. The first (relativities study) used discrete choice and matching questions to assess how age and severity of illness influence the perceived value of health gains (QALYs) in a nationally representative sample. The second (valuation study) used contingent valuation (WTP) and standard gamble questions to estimate the monetary value of QALYs in a convenience sample.
Sample587 participants for the relativities study, 409 for the valuation study.
ContextHealthcare policy and health economics

Variables

IV["Age of beneficiary","Severity of illness","Valuation method (discrete choice, matching, WTP, standard gamble)"]
DV["Relative weights assigned to health gains","Willingness-to-pay (WTP) for health gains"]
CV["Duration of health gain (QALYs)","Type of health state (e.g., headache, stomach illness)","Socio-demographic characteristics of respondents"]
04

Strengths & Limitations

Strengths

  • +Employed multiple valuation methods to triangulate findings.
  • +Used a nationally representative sample for the relativities study.

Limitations

The findings might be specific to the healthcare context and the cultural values of England. The convenience sample in the valuation study limits generalizability. Different methods of asking questions can lead to different answers, making it hard to pinpoint a single 'true' value.

Reliability & validity

The use of multiple methods (discrete choice, matching, WTP, standard gamble) enhances the validity of the findings by providing different perspectives on value. However, the divergence between discrete choice and matching results suggests potential issues with reliability or sensitivity of specific methods to certain variables. The use of a convenience sample in the valuation study may limit external validity.

Think critically

How might the findings of this study be applied to non-healthcare design contexts where the 'value' of a product or service might also be perceived differently by various user groups?

05

Design Principles

"Incorporate stakeholder value elicitation that accounts for diverse recipient characteristics and employs robust methodologies to ensure findings reflect genuine societal preferences."

Understanding how societal values are assigned to health interventions is crucial for resource allocation in healthcare and public policy. This insight informs the development of more nuanced and socially acceptable frameworks for evaluating the worth of health technologies and treatments.

06

What This Means for Your Design

When you're designing something that helps people, how much people think it's 'worth' can change depending on who it's for (like if they're old or very sick). Different ways of asking people what they think can give different answers.

How to use in your project

  • 1.Use this research to justify the importance of considering user demographics and health states when designing health-related products or services.
  • 2.Reference the study's findings on valuation methods to inform your own user research approach, particularly if you need to quantify the perceived benefit of your design.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research highlights the complex nature of valuing health gains, demonstrating that societal preferences are not uniform and can be significantly influenced by recipient characteristics such as age and illness severity. The study's findings, particularly the divergence between discrete choice and matching methods, underscore the importance of carefully selecting research methodologies when attempting to quantify user value or societal benefit in a design project.

09

Source

Health Technology Assessment

Weighting and valuing quality-adjusted life-years using stated preference methods: preliminary results from the Social Value of a QALY Project

journal · 2010

View source

Questions About This Research

What does the research say about public values health gains differently based on recipient age and illness severity?
When designing interventions or evaluating their impact, consider that societal value is not uniform and can be influenced by the characteristics of the end-user, and be mindful of how your research methods might shape the perceived value. Evidence: Health Technology Assessment (2010).
Why does "Public values health gains differently based on recipient age and illness severity" matter for design?
Understanding how societal values are assigned to health interventions is crucial for resource allocation in healthcare and public policy. This insight informs the development of more nuanced and socially acceptable frameworks for evaluating the worth of health technologies and treatments.
How can designers apply this research?
When designing interventions or evaluating their impact, consider that societal value is not uniform and can be influenced by the characteristics of the end-user, and be mindful of how your research methods might shape the perceived value.
What were the main findings?
Discrete choice questions indicated that age and severity of illness had a limited impact on respondents' valuation of QALY gains beyond the health gain itself.. Matching questions revealed a strong impact of age and severity of illness on the valuation of QALY gains, with significant differences in how gains were weighted for different groups depending on the aggregation method used.. The study assessed the feasibility of using WTP to value QALYs, suggesting it is a viable approach for understanding public preferences.
What research method was used?
Mixed-methods survey-based research (qualitative and quantitative) with 587 participants for the relativities study, 409 for the valuation study..
How strong is the evidence?
Evidence strength is rated Mixed findings, based on a 2010 journal from Health Technology Assessment.
What should I do differently in my next project?
When developing new healthcare products or services, conduct user research that explores not just functional needs but also societal value perceptions, potentially using methods like discrete choice experiments or contingent valuation to understand how factors like age and condition severity influence perceived worth.
What are the limitations?
The valuation study used a convenience sample, which may not be representative of the general population. Different aggregation methods for the matching data produced varying results. Discrete choice questions showed less sensitivity to age and severity compared to matching.