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1000
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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Background</jats:title>
<jats:p>Chronic coronary syndrome (CCS) is a potentially progressive clinical presentation of coronary artery disease (CAD). Clinical practice guidelines (CPGs) are available for prevention, diagnosis, and treatment. Embedded in the “ENLIGHT-KHK” healthcare project, a qualitative study was conducted to identify factors that influence guideline adherence from the perspective of general practitioners (GPs) and cardiologists (CA) in the ambulatory care sector in Germany.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>GPs and CAs were surveyed via telephone using an interview guide. The respondents were first asked about their individual approach to caring for patients with suspected CCS. Subsequently, the accordance of their approach with guideline recommendations was addressed. Finally, potential measures for assisting with guideline adherence were discussed. The semi-structured interviews were transcribed verbatim and analysed using a qualitative content analysis in accordance with Kuckartz and Rädiker. Factors influencing adherence to CPGs were categorised by assessing whether they (i) inhibited or facilitated guideline adherence, (ii) played a role in patients at risk of CCS or with suspected or known CCS, (iii) were mentioned in implicit or explicit thematic reference to CPGs, and (iv) were declared a practical problem.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>Based on interviews with ten GPs and five CAs, 35 potential influencing factors were identified. These emerged at four levels: patients, healthcare providers, CPGs, and the healthcare system. The most commonly cited barrier to guideline adherence among the respondents was structural aspects at the system level, including reachability of providers and services, waiting times, reimbursement through statutory health insurance (SHI) providers, and contract offers. There was a strong emphasis on interdependencies between factors acting at different levels. For instance, poor reachability of providers and services at the system level may result in inexpedience of guideline recommendations at the CPG level. Likewise, poor reachability of providers and services at the system level may be aggravated or alleviated by factors such as diagnostic preferences at the patient level or collaborations at the provider level.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>To assist with adherence to CPGs regarding CCS, promoting measures may be needed that account for interdependencies between barriers and facilitators at various healthcare levels. Respective measures should consider medically justified deviations from guideline recommendations in individual cases.</jats:p>
</jats:sec><jats:sec>
<jats:title>Trial registration</jats:title>
<jats:p>German Clinical Trials Register: DRKS00015638; Universal Trial Number (UTN): U1111-1227-8055.</jats:p>
</jats:sec>
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1000
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Hinweis
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DeepGreen-ID: 2c686c1d38344dcba7e3ddb0cde36e3d ; 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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