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Abstract/Summary
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<jats:p> Abstract. Background: General Practitioners’ (GP) readiness to implement screening and brief intervention to reduce alcohol consumption of excessive consumers is low. Although several barriers were identified by past research, improving these conditions has not led to improved implementation. Based on Expectancy Value Theory of Achievement Motivation we assume that low seriousness of the health problem in association with the treatment of excessive alcohol consumers may be considered as a crucial barrier too. Aims: By our study, we tested for the influence of the seriousness of the health problem on the GP’s readiness to implement brief intervention (BI) in comparison to crucial barriers such as insufficient financial reimbursement and low patient adherence. Method: In order to manipulate the seriousness of the health problem GPs were confronted with three different situations each introducing a fictitious patient with either excessive alcohol consumption, or binge drinking, or harmful alcohol consumption. Results: Questionnaires of 185 GPs were analyzed. As hypothesized GPs were less ready to treat patients with excessive consumption in comparison to patients with harmful consumption, t(184) = 5.51, p < .001, d = .40, and binge drinking, t(184) = 6.14, p < .001, d = .43. Their readiness was higher in case of high adherence, F(1, 181) = 17.35, p < .001, η<jats:sup>2</jats:sup> = .09. Limitations: Recruitment of GPs was based on voluntary participation. GPs had to assess their readiness in the artificial context of case vignettes. Conclusion: GPs’ readiness to implement a BI was influenced by the seriousness of the health problem and expected patient adherence. No such effect was found for financial reimbursement. </jats:p>
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1000
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Hinweis
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DeepGreen-ID: 999d78ad18a94d7587d2e5bf81bf3248 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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