Evidence map›Paper›PMID 22216250›Full record

ArticlePloS one2011

Predictors of health-related quality of life in patients at risk for cardiovascular disease in European primary care.

Sabine Ludt, Michel Wensing, Joachim Szecsenyi, Jan van Lieshout, Justine Rochon, Tobias Freund, Stephen M Campbell, Dominik Ose

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  14. Quality of Life for 19,114 participants in the ASPREE (ASPirin in Reducing Events in the Elderly) study and their association with sociodemographic and modifiable lifestyle risk factors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
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  17. Lower educational level and unemployment increase the impact of cardiometabolic conditions on the quality of life: results of a population-based study in South Australia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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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

8 authors.

Sabine LudtDepartment of General Practice and Health Services Research, University Hospital of Heidelberg, Heidelberg, Germany. sabine.ludt@med.uni-heidelberg.de
Michel Wensing
Joachim Szecsenyi
Jan van Lieshout
Justine Rochon
Tobias Freund
Stephen M Campbell
Dominik Ose

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular risk management plays an important role in primary care. In patients at high risk for cardiovascular diseases (CVD) lifestyle and, where appropriate, medical interventions are recommended in guidelines. Health-related quality of life (HRQoL) is an important outcome in clinical practice. This study aimed to assess the HRQoL of this patient group and to investigate the impact of both patients' characteristics and practice quality scores on their assessments of HRQoL. METHODS AND

findingsAn observational study in 218 general practices from 8 European countries was conducted. 2142 patients at risk for CVD (33.5% female) with a mean age of 66.3 (SD 9.1) years completed a questionnaire including the EQ-5D instrument and provided data from medical record. Validated quality indicators of general practices were assessed using practice questionnaires and face-to-face interviews. A hierarchical multilevel analysis was performed to identify predictors of EQ-5D scores at patient and practice level. The mean EQ-5D score was 0.78 (SD 0.19). Female gender (r=-0.03, p<0.0016), age (r=-0.01, p=0.0387) and lower educational level (r=-0.03, p<0.0001) were correlated negatively with EQ-5D scores. Clinically more important was the correlation of HRQoL with the frequency of practice contacts (r=-0.12, p<0.0001) and the number of uncontrolled risk factors (r= -0.01, p<0.0039). Medication adherence (r=0.032, p<0.0001), and physical activity (r=0.02, p<0.0001) were identified as positive predictors of HRQoL. The EUPROPEP-score category 'organization' (r=0.02, p<0.0001) was positively related to EQ-5D scores, whereas other practice scores were not correlated to EQ-5D-scores.

conclusionsIn patients at risk for CVD, good medication adherence, regular physical activity, controlling of biomedical risk factor levels and patient-centered practice organization have been shown to be positively correlated to HRQoL and should therefore be targeted in interventions not only to reduce morbidity but also to sustain or even to ameliorate HRQoL.

Indexed as

Primary Health CareQuality of LifeAgedCardiovascular DiseasesEuropeFemaleHumansMaleMiddle AgedRisk Factors

Identifiers

PMID22216250
PMCPMC3245263

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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.