Evidence map›Paper›PMID 15113452›Full record

ArticleBMC family practice2004

The role of guidelines and the patient's life-style in GPs' management of hypercholesterolaemia.

Lars Backlund, Ylva Skånér, Henry Montgomery, Johan Bring, Lars-Erik Strender

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Article in BMC family practice, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

5 authors.

Lars BacklundFamily Medicine Stockholm, Karolinska Institutet, Alfred Nobels allé 12, SE-141 83 Huddinge, Sweden. lars.backlund@klinvet.ki.se
Ylva Skånér
Henry Montgomery
Johan Bring
Lars-Erik Strender

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent Swedish and joint European guidelines on hyperlipidaemia stress the high coronary risk for patients with already established arterio-sclerotic disease (secondary prevention) or diabetes. For the remaining group, calculation of the ten-year risk for coronary events using the Framingham equation is suggested. There is evidence that use of and adherence to guidelines is incomplete and that tools for risk estimations are seldom used. Intuitive risk estimates are difficult and systematically biased. The purpose of the study was to examine how GPs use knowledge of guidelines in their decisions to recommend or not recommend a cholesterol-lowering drug and the reasons for their decisions.

methodsTwenty GPs were exposed to six case vignettes presented on a computer. In the course of six screens, successively more information was added to the case. The doctors were instructed to think aloud while processing the cases (Think-Aloud Protocols) and finally to decide for or against drug treatment. After the six cases they were asked to describe how they usually reason when they meet patients with high cholesterol values (Free-Report Protocols). The two sets of protocols were coded for cause-effect relations that were supposed to reflect the doctors' knowledge of guidelines. The Think-Aloud Protocols were also searched for reasons for the decisions to prescribe or not to prescribe.

resultsAccording to the protocols, the GPs were well aware of the importance of previous coronary heart disease and diabetes in their decisions. On the other hand, only a few doctors mentioned other arterio-sclerotic diseases like stroke and peripheral artery disease as variables affecting their decisions. There were several instances when the doctors' decisions apparently deviated from their knowledge of the guidelines. The arguments for the decisions in these cases often concerned aspects of the patient's life-style like smoking or overweight- either as risk-increasing factors or as alternative strategies for intervention.

conclusionsCoding verbal protocols for knowledge and for decision arguments seems to be a valuable tool for increasing our understanding of how guidelines are used in the on treatment of hypercholesterolaemia. By analysing arguments for treatment decisions it was often possible to understand why departures from the guidelines were made. While the need for decision support is obvious, the current guidelines may be too simple in some respects.

Indexed as

AdultAnticholesteremic AgentsAttitude of Health PersonnelClinical CompetenceClinical ProtocolsComorbidityCoronary DiseaseFamily PracticeFemaleGuideline AdherenceHumansHypercholesterolemiaLife StyleMaleMiddle AgedPractice Guidelines as TopicAnticholesteremic Agents

Identifiers

PMID15113452
PMCPMC394323

What OpenQuestion holds

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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.