Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol

In France, around 5% of the general population are taking drug treatments for diabetes mellitus (mainly type 2 diabetes mellitus, T2DM). Although the management of T2DM has become more complex, most of these patients are managed by their general practitioner and not a diabetologist for their antidia...

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Autores principales:	Paul Quindroit, Nicolas Baclet, Erwin Gerard, Laurine Robert, Madleen Lemaitre, Sophie Gautier, Chloé Delannoy-Rousselière, Bertrand Décaudin, Anne Vambergue, Jean-Baptiste Beuscart
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	study protocol type 2 diabetes hypoglycaemic agents potentially inappropriate prescriptions inappropriate prescribing methodology research Medicine R
Acceso en línea:	https://doaj.org/article/bec2e1891000414c81f06c4114983ed8
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spelling	oai:doaj.org-article:bec2e1891000414c81f06c4114983ed82021-11-25T17:45:52ZDefining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol10.3390/healthcare91115392227-9032https://doaj.org/article/bec2e1891000414c81f06c4114983ed82021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1539https://doaj.org/toc/2227-9032In France, around 5% of the general population are taking drug treatments for diabetes mellitus (mainly type 2 diabetes mellitus, T2DM). Although the management of T2DM has become more complex, most of these patients are managed by their general practitioner and not a diabetologist for their antidiabetics treatments; this increases the risk of potentially inappropriate prescriptions (PIPs) of hypoglycaemic agents (HAs). Inappropriate prescribing can be assessed by approaches that are implicit (expert judgement based) or explicit (criterion based). In a mixed, multistep process, we first systematically reviewed the published definitions of PIPs for HAs in patients with T2DM. The results will be used to create the first list of explicit definitions. Next, we will complete the definitions identified in the systematic review by conducting a qualitative study with two focus groups of experts in the prescription of HAs. Lastly, a Delphi survey will then be used to build consensus among participants; the results will be validated in consensus meetings. We developed a method for determining explicit definitions of PIPs for HAs in patients with T2DM. The resulting explicit definitions could be easily integrated into computerised decision support tools for the automated detection of PIPs.Paul QuindroitNicolas BacletErwin GerardLaurine RobertMadleen LemaitreSophie GautierChloé Delannoy-RousselièreBertrand DécaudinAnne VambergueJean-Baptiste BeuscartMDPI AGarticlestudy protocoltype 2 diabeteshypoglycaemic agentspotentially inappropriate prescriptionsinappropriate prescribingmethodology researchMedicineRENHealthcare, Vol 9, Iss 1539, p 1539 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	study protocol type 2 diabetes hypoglycaemic agents potentially inappropriate prescriptions inappropriate prescribing methodology research Medicine R
spellingShingle	study protocol type 2 diabetes hypoglycaemic agents potentially inappropriate prescriptions inappropriate prescribing methodology research Medicine R Paul Quindroit Nicolas Baclet Erwin Gerard Laurine Robert Madleen Lemaitre Sophie Gautier Chloé Delannoy-Rousselière Bertrand Décaudin Anne Vambergue Jean-Baptiste Beuscart Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
description	In France, around 5% of the general population are taking drug treatments for diabetes mellitus (mainly type 2 diabetes mellitus, T2DM). Although the management of T2DM has become more complex, most of these patients are managed by their general practitioner and not a diabetologist for their antidiabetics treatments; this increases the risk of potentially inappropriate prescriptions (PIPs) of hypoglycaemic agents (HAs). Inappropriate prescribing can be assessed by approaches that are implicit (expert judgement based) or explicit (criterion based). In a mixed, multistep process, we first systematically reviewed the published definitions of PIPs for HAs in patients with T2DM. The results will be used to create the first list of explicit definitions. Next, we will complete the definitions identified in the systematic review by conducting a qualitative study with two focus groups of experts in the prescription of HAs. Lastly, a Delphi survey will then be used to build consensus among participants; the results will be validated in consensus meetings. We developed a method for determining explicit definitions of PIPs for HAs in patients with T2DM. The resulting explicit definitions could be easily integrated into computerised decision support tools for the automated detection of PIPs.
format	article
author	Paul Quindroit Nicolas Baclet Erwin Gerard Laurine Robert Madleen Lemaitre Sophie Gautier Chloé Delannoy-Rousselière Bertrand Décaudin Anne Vambergue Jean-Baptiste Beuscart
author_facet	Paul Quindroit Nicolas Baclet Erwin Gerard Laurine Robert Madleen Lemaitre Sophie Gautier Chloé Delannoy-Rousselière Bertrand Décaudin Anne Vambergue Jean-Baptiste Beuscart
author_sort	Paul Quindroit
title	Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
title_short	Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
title_full	Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
title_fullStr	Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
title_full_unstemmed	Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol
title_sort	defining potentially inappropriate prescriptions for hypoglycaemic agents to improve computerised decision support: a study protocol
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/bec2e1891000414c81f06c4114983ed8
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Defining Potentially Inappropriate Prescriptions for Hypoglycaemic Agents to Improve Computerised Decision Support: A Study Protocol

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