Evidence map›Paper›PMID 22180271›Full record

ArticleCroatian medical journal2011

Predictors of the quality of cardiovascular prevention--a multilevel cross-sectional study.

Davorina Petek, Anuska Ferligoj, Rok Platinovsek, Janko Kersnik

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Article in Croatian medical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Davorina PetekDepartment of Family Medicine, Faculty of Medicine, University of Ljubljana, Poljanski nasip 58, Ljubljana, Slovenia. davorina.petek@gmail.com
Anuska Ferligoj
Rok Platinovsek
Janko Kersnik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo attempt to develop a model of predictors for quality of the process of cardiovascular prevention in patients at high risk of cardiovascular disease (CVD).

methodsWe formed a random sample of patients from a stratified sample of 36 family practice registers of patients at high risk of CVD without diabetes and without established CVD. Data were gathered by chart audit and questionnaires about patient and practice characteristics. We defined the process of care as a dependent variable by principle component analysis and tested the relationship of the process with several independent variables (family physicians', patients', and practice characteristics). To study the effects of independent variables (predictors) on the process of care we carried out multilevel regression analysis with the patients constituting the lower level and nested within the family physician/practice (the second level).

resultsMultilevel regression analysis included 645 patients from 36 practices (74.1% from the final sample). Patients' characteristics that predicted the higher-quality process of CVD prevention were younger age (t=-4.94, 95% confidence interval [CI] -0.018 to -0.008) and lower socioeconomic status (t=-2.18, 95%CI -0.195 to -0.010). Practice characteristics that predicted the higher-quality process of CVD prevention were smaller practice size (t=2.83, 95% CI 0.063 to 1.166), a good information system for CVD prevention (t=3.15, 95% CI 0.030 to 0.282), and the organization of education on CVD prevention (t=3.19, 95%CI 0.043 to 0.380).

conclusionThis study shows that the quality of cardiovascular prevention could be measured as a composite outcome and future studies should further develop this approach and test the impact of several practice/patient characteristics on the quality of CVD prevention with the international data.

Indexed as

AgedAge FactorsCardiovascular DiseasesCross-Sectional StudiesFamily PracticeFemaleHumansMaleMiddle AgedOutcome Assessment, Health CarePrincipal Component AnalysisQuality Indicators, Health CareQuality of Health CareRegression AnalysisRisk FactorsSocioeconomic Factors

Identifiers

PMID22180271
PMCPMC3243324

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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.