Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31411
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dc.contributor.authorAyalew, Mohammed Biseten
dc.contributor.authorDieberg, Gudrunen
dc.contributor.authorQuirk, Francesen
dc.contributor.authorSpark, M Joyen
dc.date.accessioned2021-08-26T06:21:32Z-
dc.date.available2021-08-26T06:21:32Z-
dc.date.issued2022-06-
dc.identifier.citationResearch in Social and Administrative Pharmacy, 18(6), p. 2989-2996en
dc.identifier.issn1934-8150en
dc.identifier.issn1551-7411en
dc.identifier.urihttps://hdl.handle.net/1959.11/31411-
dc.description.abstractBackground<br/> Early detection and timely resolution of potentially inappropriate prescribing (PIP) prevents adverse outcomes and improves patient care. An explicit tool specifically designed to detect PIP among people with Type 2 Diabetes Mellitus (T2DM) has not been published.<br/> <br/> Objectives<br/> This study aims to develop and validate the Inappropriate Medication Prescribing Assessment Criteria for Type 2 Diabetes Mellitus (IMPACT2DM); an explicit tool that can be used to identify PIP for adults with T2DM. <br/> <br/> Methods<br/> Current national and international guidelines for the management of T2DM and drug information software programs were used to generate potential items. The content of the IMPACT2DM was validated by 2 consecutive rounds of Delphi method. Physicians and clinical pharmacists experienced in providing care for people with diabetes and authors of selected diabetes guidelines were invited to participate in the Delphi panel. Consensus was assumed if 90% (first round) and 85% (second round) of expert panelists showed agreement to include or exclude an item. <br/> <br/> Results<br/> A total of 95 potential items were generated from selected diabetes guidelines and drug information software programs. After the first Delphi round 27 items had ≥90% agreement and were included in the tool; 19 items were considered not PIP and were excluded from the tool. The second round contained 49 items; of these 43 were included and 6 were excluded from the tool. The final IMPACT2DM contains 70 items categorized by type of PIP and arranged in terms of medical conditions and medication classes. IMPACT2DM can be applied using information on medical charts and requires minimal or no clinical knowledge to assess quality of diabetes care and improve medication selection.<br/> <br/> Conclusions<br/> IMPACT2DM has been developed from current quality evidence and undergone content validation. It is the first explicit tool specifically designed to identify PIP for adults with T2DM. <br/>en
dc.languageenen
dc.publisherElsevier Incen
dc.relation.ispartofResearch in Social and Administrative Pharmacyen
dc.titleDevelopment and validation of explicit criteria to identify potentially inappropriate prescribing for adults with type 2 diabetes mellitusen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.sapharm.2021.07.014en
dc.identifier.pmid34330635en
local.contributor.firstnameMohammed Biseten
local.contributor.firstnameGudrunen
local.contributor.firstnameFrancesen
local.contributor.firstnameM Joyen
local.subject.for2008111503 Clinical Pharmacy and Pharmacy Practiceen
local.subject.seo2008860803 Human Pharmaceutical Treatments (e.g. Antibiotics)en
local.subject.seo2008920104 Diabetesen
local.profile.schoolSchool of Rural Medicineen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Rural Medicineen
local.profile.schoolSchool of Rural Medicineen
local.profile.emailmayalew@myune.edu.auen
local.profile.emailgdieberg@une.edu.auen
local.profile.emailfquirk@une.edu.auen
local.profile.emailjspark@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited States of Americaen
local.format.startpage2989en
local.format.endpage2996en
local.identifier.scopusid85111531301en
local.peerreviewedYesen
local.identifier.volume18en
local.identifier.issue6en
local.contributor.lastnameAyalewen
local.contributor.lastnameDiebergen
local.contributor.lastnameQuirken
local.contributor.lastnameSparken
dc.identifier.staffune-id:mayalewen
dc.identifier.staffune-id:gdiebergen
dc.identifier.staffune-id:fquirken
dc.identifier.staffune-id:jsparken
local.profile.orcid0000-0001-7191-182Xen
local.profile.orcid0000-0001-5240-8217en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/31411en
local.date.onlineversion2021-07-16-
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDevelopment and validation of explicit criteria to identify potentially inappropriate prescribing for adults with type 2 diabetes mellitusen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAyalew, Mohammed Biseten
local.search.authorDieberg, Gudrunen
local.search.authorQuirk, Francesen
local.search.authorSpark, M Joyen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000793466700006en
local.year.available2021en
local.year.published2022en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/78c41e2f-aed2-463f-932c-b3014e24cceden
local.subject.for2020321403 Clinical pharmacy and pharmacy practiceen
local.subject.seo2020200105 Treatment of human diseases and conditionsen
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School of Rural Medicine
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