Evidence map›Paper›PMID 23510482›Full record

ArticleImplementation science : IS2013

Which practice characteristics are associated with the quality of cardiovascular disease prevention in European primary care?

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

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  9. Organizational determinants of high-quality routine diabetes care.Scandinavian journal of primary health care · 2014
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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 at 6 institutions in 4 countries.

Sabine LudtDepartment of General Practice and Health Services Research, University Hospital of Heidelberg, Voßstrasse 2, D-69115 Heidelberg, Germany. sabine.ludt@med.uni-heidelberg.de
Stephen M Campbell
Davorina Petek
Justine Rochon
Joachim Szecsenyi
Jan van Lieshout
Michel Wensing
Dominik Ose
Heidelberg University · DEUniversity Hospital Heidelberg · DEManchester Academic Health Science Centre · GBRadboud University Medical Center · NLRadboud University Nijmegen · NLUniversity of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevention of cardiovascular diseases (CVD) is a major health issue worldwide. Primary care plays an important role in cardiovascular risk management (CVRM). Guidelines and quality of care measures to assess CVRM in primary care practices are available. In this study, we assessed the relationship between structural and organisational practice characteristics and the quality of care provided in individuals at high risk for developing CVD in European primary care.

methodsAn observational study was conducted in 267 general practices from 9 European countries. Previously developed quality indicators were abstracted from medical records of randomly sampled patients to create a composite quality measure. Practice characteristics were collected by a practice questionnaire and face to face interviews. Data were aggregated using factor analysis to four practice scores representing structural and organisational practice features. A hierarchical multilevel analysis was performed to examine the impact of practice characteristics on quality of CVRM.

resultsThe final sample included 4223 individuals at high risk for developing CVD (28% female) with a mean age of 66.5 years (SD 9.1). Mean indicator achievement was 59.9% with a greater variation between practices than between countries. Predictors at the patient level (age, gender) had no influence on the outcome. At the practice level, the score 'Preventive Services' (13 items) was positively associated with clinical performance (r = 1.92; p = 0.0058). Sensitivity analyses resulted in a 5-item score (PrevServ_5) that was also positively associated with the outcome (r = 4.28; p < 0.0001).

conclusionsThere was a positive association between the quality of CVRM in individuals at high risk for developing CVD and the availability of preventive services related to risk assessment and lifestyle management supported by information technology.

Indexed as

Quality of Health CareAgedCardiovascular DiseasesCross-Sectional StudiesDelivery of Health CareEuropeFemaleGeneral PracticeHealth PromotionHumansMaleQuality Indicators, Health CareRisk Management

Identifiers

PMID23510482
PMCPMC3599517
OpenAlexW2130454881

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.