Evidence map›Paper›PMID 21132558›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2012

Comparing the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetic complications.

Nick Kontodimopoulos, Evelina Pappa, Zinovia Chadjiapostolou, Eleni Arvanitaki, Angelos A Papadopoulos, Dimitris Niakas

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
15.0field-weighted citation impact, top 2% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Psychometric properties of the EQ-5D-5L: a systematic review of the literature.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Pooled it
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  4. Review
  5. Comparison of three health-related quality of life instruments in relation to visual acuity: EQ-5D, 15D, and EUROHIS-QOL8.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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  13. Health-related quality of life and health utilities in insulin-treated type 2 diabetes: the impact of related comorbidities/complications.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
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  17. Diabetic retinopathy and health-related quality of life among Chinese with known type 2 diabetes mellitus.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
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  19. Comparative performance of the EQ-5D-5L and SF-6D index scores in adults with type 2 diabetes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
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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

6 authors at 2 institutions in 2 countries.

Nick KontodimopoulosFaculty of Social Sciences, Hellenic Open University, Bouboulinas 57-59, 26222 Patras, Greece. nkontodi@otenet.gr
Evelina Pappa
Zinovia Chadjiapostolou
Eleni Arvanitaki
Angelos A Papadopoulos
Dimitris Niakas
Hellenic Open University · GRAthens State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiabetes patients suffer from comorbid conditions and disease-related complications. Combined with demographic, clinical and treatment satisfaction variables, they have a confounding effect on health-related quality of life (HRQoL). This study compared the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetes complications.

methodsUtilities were compared in 319 type II diabetics with and without comorbidities and complications. Based on subsample size and confirmed diagnoses, coronary heart disease (CHD) and diabetic retinopathy (DR) were two complications chosen for further analysis. Significant EQ-5D, SF-6D and 15D predictors were identified with OLS regression and subsequently controlled for with ANCOVA.

resultsThe presence of CHD resulted in utility decrements (P < 0.001) for all instruments, whereas DR only decreased 15D utilities (P < 0.05). Gender, age, treatment satisfaction, arthropathy and diabetic foot were significant predictors throughout, whereas BMI, neuropathy and CHD for at least two utilities. After controlling for these confounding variables, 15D still discriminated between diabetics with and without CHD (P < 0.01) and DR (P < 0.05), with seven and five dimensions affected, respectively.

conclusionsAfter removing the effect of background variables, 15D utilities remain sensitive to CHD and DR. The obvious explanation is its richer descriptive system, which provides increased discriminative ability compared to EQ-5D and SF-6D, and this might be evidence for preferring the 15D in economic evaluations of interventions for diabetics. However, the need remains for further testing in other diabetes complications and more diverse patient samples.

Indexed as

Health StatusQuality of LifeAdultAgedComorbidityDiabetes ComplicationsDiabetes Mellitus, Type 2FemaleGreeceHumansMaleMiddle AgedSensitivity and SpecificitySurveys and QuestionnairesYoung Adult

Identifiers

PMID21132558
OpenAlexW2052099503

What OpenQuestion holds

Textmetadata
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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.