Evidence map›Paper›PMID 22208861›Full record

ArticleHealth and quality of life outcomes2011

Mapping of the Insomnia Severity Index and other sleep measures to EuroQol EQ-5D health state utilities.

Ning Yan Gu, Marc F Botteman, Xiang Ji, Christopher F Bell, John A Carter, Ben van Hout

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Mapping the Edmonton Symptom Assessment System-Revised: Renal to the EQ-5D-5L in patients with chronic kidney disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Mapping painDETECT, a neuropathic pain screening tool, to the EuroQol (EQ-5D-3L).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
    Article
  10. Observational
  11. 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.

Ning Yan GuPharmerit North America, LLC,4350 East West Highway, Suite 430, Bethesda, MD 20814, USA. ngu@pharmerit.com
Marc F Botteman
Xiang Ji
Christopher F Bell
John A Carter
Ben van Hout

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study sought to map the Insomnia Severity Index (ISI) and symptom variables onto the EQ-5D.

methodsA cross-sectional survey was conducted among adult US residents with self-reported sleep problems. Respondents provided demographic, comorbidity, and sleep-related information and had completed the ISI and the EQ-5D profile. Respondents were classified into ISI categories indicating no, threshold, moderate, or severe insomnia. Generalized linear models (GLM) were used to map the ISI's 7 items (Model I), summary scores (Model II), clinical categories (Model III), and insomnia symptoms (Model IV), onto the EQ-5D. We used 50% of the sample for estimation and 50% for prediction. Prediction accuracy was assessed by mean squared errors (MSEs) and mean absolute errors (MAEs).

resultsMean (standard deviation) sleep duration for respondents (N = 2,842) was 7.8 (1.9) hours, and mean ISI score was 14.1 (4.8). Mean predicted EQ-5D utility was 0.765 (0.08) from Models I-III, which overlapped with observed utilities 0.765 (0.18). Predicted utility using insomnia symptoms was higher (0.771(0.07)). Based on Model I, predicted utilities increased linearly with improving ISI (0.493 if ISI = 28 vs. 1.00 if ISI = 0, p < 0.01). From Model II, each unit decrease in ISI summary score was associated with a 0.022 (p < 0.001) increase in utility. Predicted utilities were 0.868, 0.809, 0.722, and 0.579, respectively, for the 4 clinical categories, suggesting that lower utility was related to greater insomnia severity. The symptom model (Model IV) indicated a concave sleep-duration function of the EQ-5D; thus, utilities diminished after an optimal amount of sleep. The MSEs/MAEs were substantially lower when predicting EQ-5D > 0.40, and results were comparable in all models.

conclusionsFindings suggest that mapping relationships between the EQ-5D and insomnia measures could be established. These relationships may be used to estimate insomnia-related treatment effects on health state utilities.

Indexed as

Quality of LifeSeverity of Illness IndexAdultComorbidityCross-Sectional StudiesFemaleHumansInternetLinear ModelsMaleMiddle AgedPredictive Value of TestsPsychometricsSleep Initiation and Maintenance DisordersSurveys and QuestionnairesUnited States

Identifiers

PMID22208861
PMCPMC3377917

What OpenQuestion holds

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LicenceCC BY
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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.