Evidence map›Paper›PMID 28808840›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

Comparison of health state values derived from patients and individuals from the general population.

Mihir Gandhi, Ru San Tan, Raymond Ng, Su Pin Choo, Whay Kuang Chia, Chee Keong Toh, Carolyn Lam, Phong Teck Lee, Nang Khaing Zar Latt, Kim Rand-Hendriksen and 2 more

Abstract read
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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Literature Review of Health Utility Values in Breast Cancer.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
  2. Article
  3. Developing a patient-based utility value set for the EORTC QLU-C10D using the OPUF method in Chinese cancer patients.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  4. Differences in health state valuation for small, low-risk thyroid cancer between general population and cancer survivors: a cross-sectional analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  5. Test-retest reliability of the Online Elicitation of Personal Utility Functions (OPUF) approach for valuing the EQ-HWB-S.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  6. Article
  7. Article
  8. Urban/rural differences in preferences for EQ-5D-5L health states: a study of a multi-ethnic region in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  9. Article
  10. How is quality of life defined and assessed in published research?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Review
  11. Evidence of a disability paradox in patient-reported outcomes in haemophilia.Haemophilia : the official journal of the World Federation of Hemophilia · 2021
    Article
  12. Article
  13. Using EQ-5D Data to Measure Hospital Performance: Are General Population Values Distorting Patients' Choices?Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Mihir GandhiDepartment of Biostatistics, Singapore Clinical Research Institute, #02-01 Nanos, 31 Biopolis Way, Singapore, Singapore.ORCID 0000-0002-8902-2710
Ru San TanDepartment of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore.ORCID 0000-0003-2086-6517
Raymond NgDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.ORCID 0000-0001-9651-234X
Su Pin ChooDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.ORCID 0000-0002-8925-3922
Whay Kuang ChiaDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.ORCID 0000-0003-4198-9831
Chee Keong TohDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.ORCID 0000-0002-5691-6144
Carolyn LamDepartment of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore.ORCID 0000-0003-1903-0018
Phong Teck LeeDepartment of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore.
Nang Khaing Zar LattDepartment of Cardiology, National Heart Centre Singapore, 5 Hospital Drive, Singapore, Singapore.
Kim Rand-HendriksenHealth Services Research Centre, Akershus University Hospital, Forskningsveien 3A, 0373, Oslo, Norway.ORCID 0000-0001-7692-4099
Yin Bun CheungDepartment of Biostatistics, Singapore Clinical Research Institute, #02-01 Nanos, 31 Biopolis Way, Singapore, Singapore.ORCID 0000-0003-0517-7625
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Tahir Foundation Building (MD1), 12 Science Drive 2, Singapore, Singapore. ephln@nus.edu.sg.ORCID 0000-0001-7980-6979

Funding

EuroQol Research Foundation EQ Project 2015220Ministry of Health, Singapore WBS R-913-200-040
6 · The paper itself

Abstract

purposeUtility values are critical for cost-utility analyses that guide healthcare decisions. We aimed to compare the utility values of the 5-level EuroQoL-5Dimension (EQ-5D-5L) health states elicited from members of the general public and patients with heart disease or cancer.

methodsIn face-to-face interviews with 157 heart disease patients, 169 cancer patients, and 169 members from the general population, participants valued 10 EQ-5D-5L health states using a composite Time Trade-Off method.

resultsPooling utility values for all health states, heart disease patients and cancer patients had mean utility values lower by 0.11 points (P value = 0.014) and 0.06 points (P value = 0.148), respectively, compared to the general population. Adjusting for sociodemographic characteristics, differences in health state utility values between the patient and the general populations were rendered non-significant, except that heart disease patients gave higher utility values (mean difference = 0.08; P value = 0.007) to mild health states than the general population. Difference in utility values, defined as utility value of a better health state minus that of a poorer health state, was higher among heart disease patients compared to the general population, before and after adjusting for sociodemographic characteristics.

conclusionsPatients may differ from members of the general population in the strength of their preferences for hypothetical health states. Using utility values derived from the general population may under-estimate the comparative effectiveness of healthcare interventions for certain diseases, such as heart diseases.

Indexed as

Health StatusAdultFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesYoung AdultCancerEQ-5DHeart diseasePreferenceTime trade-offUtility

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.