Evidence map›Paper›PMID 26314728›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2016

Health Condition Impacts in a Nationally Representative Cross-Sectional Survey Vary Substantially by Preference-Based Health Index.

Janel Hanmer, Dasha Cherepanov, Mari Palta, Robert M Kaplan, David Feeny, Dennis G Fryback

Abstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Agreement of PROMIS Preference (PROPr) scores generated from the PROMIS-29 + 2 and the PROMIS-16.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  2. Article
  3. Article
  4. Cross-sectional validation of the PROMIS-Preference scoring system by its association with social determinants of health.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  5. Article
  6. Article
  7. Health state descriptions, valuations and individuals' capacity to walk: a comparative evaluation of preference-based instruments in the context of spinal cord injury.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  8. A single question about a respondent's perceived financial ability to pay monthly bills explains more variance in health utility scores than absolute income and assets questions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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

6 authors.

Janel HanmerDepartment of Internal Medicine, University of Pittsburgh, Pittsburgh, PA (JH)
Dasha CherepanovPartnership for Health Analytic Research, LLC, Beverly Hills, CA (DC)
Mari PaltaPopulation Health Sciences, University of Wisconsin-Madison, Madison, WI (MP, DF)
Robert M KaplanUCLA Department of Health Services, University of California, Los Angeles, CA (RMK)
David FeenyPopulation Health Sciences, University of Wisconsin-Madison, Madison, WI (MP, DF)
Dennis G FrybackHealth Utilities Incorporated, Dundas, ON (DGF)

Funding

University of Pittsburgh Clinical and Translational Science InstitutionKL2TR000146 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$8.7M
SYMPTOM DURATION AND QUALITY OF LIFEP01AG020679 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI GANIATS, THEODORE G · 2004 to 2007
$6.8M
NCATS NIH HHS KL2 TR000146NIA NIH HHS AG020679NIA NIH HHS P01 AG020679
6 · The paper itself

Abstract

importanceMany cost-utility analyses rely on generic utility measures for estimates of disease impact. Commonly used generic preference-based indexes may generate different absolute estimates of disease burden despite sharing anchors of dead at 0 and full health at 1.0.

objectiveWe compare the impact of 16 prevalent chronic health conditions using 6 utility-based indexes of health and a visual analog scale.

designData were from the National Health Measurement Study (NHMS), a cross-sectional telephone survey of 3844 adults aged 35 to 89 years in the United States.

main outcome measuresThe NHMS included the EuroQol-5D-3L, Health and Activities Limitation Index (HALex), Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3), preference-based scoring for the SF-36v2 (SF-6D), Quality of Well-Being Scale, and visual analog scale. Respondents self-reported 16 chronic conditions. Survey-weighted regression analyses for each index with all health conditions, age, and sex were used to estimate health condition impact estimates in terms of quality-adjusted life years (QALYs) lost over 10 years. All analyses were stratified by ages 35 to 69 and 70 to 89 years.

resultsThere were significant differences between the indexes for estimates of the absolute impact of most conditions. On average, condition impacts were the smallest with the SF-6D and EQ-5D-3L and the largest with the HALex and HUI3. Likewise, the estimated loss of QALYs varied across indexes. Condition impact estimates for EQ-5D-3L, HUI2, HUI3, and SF-6D generally had strong Spearman correlations across conditions (i.e., >0.69). LIMITATIONS: This analysis uses cross-sectional data and lacks health condition severity information.

conclusionsHealth condition impact estimates vary substantially across the indexes. These results imply that it is difficult to standardize results across cost-utility analyses that use different utility measures.

Indexed as

Health StatusQuality-Adjusted Life YearsQuality of LifeAdultAgedAged, 80 and overAge FactorsChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPsychometricsRegression AnalysisSeverity of Illness Indexcost utility analysisquality of lifeutility inconsistenciesutility measurement

Identifiers

PMID26314728
PMCPMC4856155

What OpenQuestion holds

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Registered trials

None linked

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.