Evidence map›Paper›PMID 23496957›Full record

ArticleHealth and quality of life outcomes2013

Mapping health outcome measures from a stroke registry to EQ-5D weights.

Ola Ghatnekar, Marie Eriksson, Eva-Lotta Glader

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

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

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

  1. Pooled it
  2. Pooled it
  3. How to routinely collect data on patient-reported outcome and experience measures in renal registries in Europe: an expert consensus meeting.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2015
    Pooled it
  4. Article
  5. Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  6. Article
  7. Article
  8. Probabilistic mapping of the health status measure SF-12 onto the health utility measure EQ-5D using the US-population-based scoring models.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    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

3 authors.

Ola GhatnekarDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden. olaghatnekar@gmail.com
Marie Eriksson
Eva-Lotta Glader

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo map health outcome related variables from a national register, not part of any validated instrument, with EQ-5D weights among stroke patients.

methodsWe used two cross-sectional data sets including patient characteristics, outcome variables and EQ-5D weights from the national Swedish stroke register. Three regression techniques were used on the estimation set (n=272): ordinary least squares (OLS), Tobit, and censored least absolute deviation (CLAD). The regression coefficients for "dressing", "toileting", "mobility", "mood", "general health" and "proxy-responders" were applied to the validation set (n=272), and the performance was analysed with mean absolute error (MAE) and mean square error (MSE).

resultsThe number of statistically significant coefficients varied by model, but all models generated consistent coefficients in terms of sign. Mean utility was underestimated in all models (least in OLS) and with lower variation (least in OLS) compared to the observed. The maximum attainable EQ-5D weight ranged from 0.90 (OLS) to 1.00 (Tobit and CLAD). Health states with utility weights <0.5 had greater errors than those with weights ≥ 0.5 (P<0.01).

conclusionThis study indicates that it is possible to map non-validated health outcome measures from a stroke register into preference-based utilities to study the development of stroke care over time, and to compare with other conditions in terms of utility.

Indexed as

Activities of Daily LivingAgedAlgorithmsCross-Sectional StudiesFemaleHealth StatusHumansMaleQuality of LifeRegistriesSelf CareStrokeSurveys and QuestionnairesTreatment Outcome

Identifiers

PMID23496957
PMCPMC3599434

What OpenQuestion holds

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LicenceCC BY
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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.