• Biosimilars
  • Drug Development/R&D
  • All Topics
OHE OHE
Newsletter SignupSubscribe

News & Insights
  • News
  • Events
  • Insights
  • Bulletin
  • News
  • Events
  • Insights
  • Bulletin

News & Insights

  • News
  • Events
  • Insights
  • Bulletin
Newsletter SignupSubscribe
  • News
  • Events
  • Insights
  • Bulletin

Close
OHE OHE
  • Research & Publications
  • News & Insights
  • Education
  • Innovation Policy Prize
  • Events
  • About Us
  • OHE Experts
  • Contact Us
Newsletter SignupSubscribe

Research & Publications

All Publications

Filter by:
  • Antimicrobial Resistance (AMR)
  • Biosimilars
  • Cell and Gene Therapies
  • Chronic Diseases
  • Combination Therapies
  • COVID-19 Research
  • Digital Health
  • Drug Development/R&D
  • Emerging Markets
  • EQ-5D and PROMs
  • Health Care Systems
  • Health Data and Statistics
  • Health Technology Assessment
  • Precision Medicine
  • Real World Evidence
  • Use of Medicines
  • Value-Based Pricing
  • Vaccine Research
  • Economics of Innovation
  • Measuring and Valuing Outcomes
  • Policy, Organisation and Incentives in Health Systems
  • Value, Affordability and Decision Making

News & Insights

  • News
  • Events
  • Insights
  • Bulletin

Education

  • Education Hub
  • OHE Graduate School
  • EVIA Programme

Innovation Policy Prize

  • The Prize Fund
  • 2022 Prize Fund

Latest Research & Publications

  • Antimicrobial Resistance (AMR)
  • Economics of Innovation

Incentivising New Antibiotics: Designing a Value-Based Delinked Pull Incentive Mechansim

ABPI_Incentivising_Antibioics_peter-pryharski-unsplash_landscape
Read more

Proposal for a General Outcome-based Value Attribution Framework for Combination Therapies

CombTher_Adobe_photoguns_portrait
Read more
© photoguns
  • Digital Health

Navigating the Landscape of Digital Health – United Kingdom

Healthcare_Adobe_elenabsl
Read more

2021 OHE Annual Report to the Charity Commission

charityreport_lina-trochez-unsplash_landscape
Read more
© Lina Trochez/Unsplash

Supporting the Era of Green Pharmaceuticals in the UK

Sustainability_AdobeStock_270582392_landscape
Read more

Quality of life and wellbeing in individuals with experience of fertility problems and assisted reproductive techniques

Quality of life assisted reproduction Cover
Read more
  • Cell and Gene Therapies
  • Value, Affordability, and…

Health Technology Assessment of Gene Therapies: Are Our Methods Fit for Purpose?

gene_therapies_national-cancer-institute-unsplash_landscape
Read more
© NCI/Unsplash
  • Drug Development/R&D
  • Economics of Innovation
  • Health Policy and Regulation

Limitations of CBO’s Simulation Model of New Drug Development as a Tool for Policymakers

CBO-US_mayer-tawfik-K4Ckc0AxgDI-unsplash_landscape
Read more
© Mayer Tawfik/Unsplash
Close
OHE
  • All Publications

    Filter by:
    • Antimicrobial Resistance (AMR)
    • Biosimilars
    • Cell and Gene Therapies
    • Chronic Diseases
    • Combination Therapies
    • COVID-19 Research
    • Digital Health
    • Drug Development/R&D
    • Emerging Markets
    • EQ-5D and PROMs
    • Health Care Systems
    • Health Data and Statistics
    • Health Technology Assessment
    • Precision Medicine
    • Real World Evidence
    • Use of Medicines
    • Value-Based Pricing
    • Vaccine Research
    • Economics of Innovation
    • Measuring and Valuing Outcomes
    • Policy, Organisation and Incentives in Health Systems
    • Value, Affordability and Decision Making
    • News
    • Events
    • Insights
    • Bulletin
    • Education Hub
    • OHE Graduate School
    • EVIA Programme
    • The Prize Fund
    • 2022 Prize Fund
  • Events
  • About Us
  • OHE Experts
  • Contact Us
Newsletter SignupSubscribe
Back
  • News
11 min read 21st June 2017

Adaptation to Health States: Sick Yet Better Off?

OHE’s Patricia Cubi-Molla, joint with Mireia Jofre-Bonet and Victoria Serra-Sastre from City, University of London, have a new paper that examines adaptation to health states using a longitudinal dataset, recently published in Health Economics. Economic evaluation is a common requirement…

Share:
  •  Twitter
  •  LinkedIn
  •  Facebook
  • has-icon Email

OHE’s Patricia Cubi-Molla, joint with Mireia Jofre-Bonet and Victoria Serra-Sastre from City, University of London, have a new paper that examines adaptation to health states using a longitudinal dataset, recently published in Health Economics.

Economic evaluation is a common requirement in many countries for reimbursement and adoption decisions. The appropriate measurement of health outcomes is paramount to this appraisal process. However, controversy remains on the methodological underpinning of how health outcome measurements are obtained.

For instance, health technology assessment in England by the National Institute of Health and Care Excellence (NICE) favours the measurement of health gains in terms of health‐related quality of life using the EQ‐5D. Although valuations of the underlying health states by members of the general public (as opposed to patients) are preferred, most informative data about the health outcome are derived from patients’ self‐assessments.

However, a patient’s self‐assessment of their health state may be affected by factors other than changes to their objective health. A factor that is frequently cited in the literature is adaptation. Patients tend to self‐report better subjective health over the disease trajectory, even if more objective health measures suggest that their condition is not improving.

It has even been suggested that patients accommodate a chronic illness to a degree that the average health‐related quality of life value arising from their self‐reported measurement ends up being not inferior (and sometimes even superior) to that corresponding to healthy population norms.

Given that healthcare funding decisions are increasingly reliant on subjective health state measurements, it is critical that we fully understand the role that a chronic disease has on subjective health state measurement.

OHE’s Patricia Cubi-Molla, joint with Mireia Jofre-Bonet and Victoria Serra-Sastre from City, University of London, contribute to the adaptation literature with a new paper recently published in Health Economics. The paper hypothesizes, given an adaptation response, that there is a positive relationship between the length of time an individual suffers from an illness and the likelihood of reporting better health.

The issue of adaptation is analysed by estimating the effect of the presence of a long-standing illness and the time since diagnosis on the construct of subjective self-assessed health (SAH). The authors implement a dynamic ordered probit model controlling for health state dependence (i.e. an individual reporting better or worse health states by default). The empirical analysis uses the British Cohort Study (BCS70) which includes measures of both SAH and changes in the health state of the individuals, and information on the onset of chronic diseases and respondents’ experience of health shocks, as well as socioeconomic and demographic characteristics.

Their findings are supportive of the existence of adaptation. Time since diagnosis has a positive impact on self-assessed health, i.e. those who have had a chronic condition longer report better health than those more recently diagnosed. They also find that adaptation happens over relatively long durations, and does not have an equal impact across conditions. For instance, there is an adaptation effect for diabetes, asthma, migraines and upper respiratory tract infections, but no effect is found for depression or cancer.

This paper adds valuable insights to the understanding of the adaptation effect using innovative and robust methods. It links with other research undertaken at OHE that considers the role of age in health state valuation.

For more information please contact Patricia Cubi-Molla at OHE.

  • EQ-5D and PROMs
  • Measuring and Valuing Outcomes
  • External Publications

Related News

  • News
  • September 2020

Establishing a Reasonable Price for an Orphan Drug

Read more
  • News
  • April 2020

Augmenting Cost-Effectiveness Analysis for Uncertainty: The Implications for Value Assessment—Rationale and Empirical Support

Read more
  • News
  • April 2020

Financing and Scaling Innovation for the COVID Fight: A Closer Look at Demand-Side Incentives for a Vaccine

Read more
  • News
  • February 2020

Unpacking the Black Box of Payer Policy: A Demand-Side Approach for Equitable Uptake of Cost-Effective Health Innovation

Read more
footer_ohe_logo

Leading intellectual authority on global health economics

Sign Up for the OHE News Bulletin

Newsletter SignupStart Sign Up

Research & Publications

News & Insights

Innovation Policy Prize

Education

Events

About Us

OHE Experts

Contact Us

Sign Up for the OHE News Bulletin

Newsletter SignupStart Sign Up

The Office of Health Economics (OHE) is a company limited by guarantee registered in England and Wales (registered number 09848965) and its registered office is at 2nd Floor Goldings House, Hay’s Galleria, 2 Hay’s Lane, London, SE1 2HB.

Terms & Conditions

Privacy Policy

Cookies Policy

© 2023 Website Design

An error has occurred, please try again later.An error has occurred, please try again later.

We are using cookies to give you the best experience on our website.

You can find out more about which cookies we are using or switch them off in settings.

 Twitter
 Facebook
 LinkedIn
 Copy
 Email
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

3rd Party Cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!