Evidence map›Paper›PMID 22452633›Full record

ArticlePharmacoEconomics2012

The impact of co-morbidity burden on preference-based health-related quality of life in the United States.

Patrick W Sullivan, Vahram H Ghushchyan, Elizabeth A Bayliss

Abstract read
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In one paragraph

Article in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. High Symptom Burden and Low Functional Status in the Setting of Multimorbidity.Journal of the American Geriatrics Society · 2017 · on this map
    Trial
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  10. Examining the relationship between health-related quality of life and increasing numbers of diagnoses.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
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  13. Common patterns of morbidity and multi-morbidity and their impact on health-related quality of life: evidence from a national survey.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
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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

3 authors.

Patrick W SullivanSchool of Pharmacy, Regis University, Denver, CO 80221, USA. psulliva@regis.edu
Vahram H Ghushchyan
Elizabeth A Bayliss

Funding

HRQL Impact of Chronic Conditions and Comorbidity BurdenR03AG027348 · NIA · UNIVERSITY OF COLORADO DENVER · PI SULLIVAN, PATRICK W · 2006 to 2006
$69k
NIA NIH HHS 1R03AG027348-01
6 · The paper itself

Abstract

backgroundMany statistical analyses, clinical trials and cost-utility analyses designed to measure the impact of a particular disease on utility scores often overlook the important influence of co-morbidity burden.

objectivesThis study aims to examine the impact of co-morbidity burden on EQ-5D index scores in a nationally representative sample of the US.

methodsThe pooled 2001 and 2003 Medical Expenditure Panel Survey was used. The total number of chronic conditions for each individual was calculated based on Clinical Classification Categories codes. Spline regression was used to identify nonlinear age effects: individuals were separated into four quartiles based on age. Censored least absolute deviation was used to regress EQ-5D index scores on age and chronic co-morbidity, controlling for income, gender, race, ethnicity, education, physical activity and smoking status. Interactions between age and chronic conditions were also explored.

resultsThe coefficients for chronic co-morbidities were highly statistically significant with large magnitudes for those with two or more chronic conditions (coefficient two chronic conditions=-0.16; coefficient nine chronic conditions=-0.28). After controlling for chronic co-morbidities and other confounders, age was not statistically significant except for those aged>58 years and the magnitude of this coefficient was very small (coefficient aged>58 years=-0.0006). The interactions between age and chronic co-morbidity were significant, but the deleterious impact of their interaction was largely dominated by the existence and number of chronic conditions.

conclusionsChronic conditions have a significant deleterious impact on EQ-5D index scores that is much more pronounced than age and other sociodemographic and behavioural characteristics. Future analyses and cost-utility models should incorporate the impact of multiple morbidity.

Indexed as

ComorbidityHealth StatusHealth Status IndicatorsAdolescentAdultAge FactorsChronic DiseaseFemaleHealth SurveysHumansMaleMiddle AgedQuality of LifeUnited States

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.