Diabetes Capabilities for the Healthcare Workforce Identified via a 3-Staged Modified Delphi Technique Murfet, G, Ostaszkiewicz, J and Rasmussen, Bodil 2022, Diabetes Capabilities for the Healthcare Workforce Identified via a 3-Staged Modified Delphi Technique, International journal of environmental research and public health, vol. 19, no. 2, pp. 1-19, doi: 10.3390/ijerph19021012. Attached Files Name Description MIMEType Size Downloads Title Diabetes Capabilities for the Healthcare Workforce Identified via a 3-Staged Modified Delphi Technique Author(s) Murfet, G Ostaszkiewicz, J Rasmussen, Bodil orcid.org/0000-0002-6789-8260 Journal name International journal of environmental research and public health Volume number 19 Issue number 2 Article ID 1012 Start page 1 End page 19 Total pages 19 Publisher MDPI Place of publication Basel, Switzerland Publication date 2022 ISSN 1661-7827 1660-4601 Keyword(s) capabilities COMPETENCES CONSENSUS Delphi technique diabetes EDUCATION Environmental Sciences Environmental Sciences & Ecology healthcare workforce Life Sciences & Biomedicine MANAGEMENT Public, Environmental & Occupational Health Science & Technology workforce capacity Summary Consumers access health professionals with varying levels of diabetes-specific knowledge and training, often resulting in conflicting advice. Conflicting health messages lead to consumer disengagement. The study aimed to identify capabilities required by health professionals to deliver diabetes education and care to develop a national consensus capability-based framework to guide their training. A 3-staged modified Delphi technique was used to gain agreement from a purposefully recruited panel of Australian diabetes experts from various disciplines and work settings. The Delphi technique consisted of (Stage I) a semi-structured consultation group and pre-Delphi pilot, (Stage II) a 2-phased online Delphi survey, and (Stage III) a semi-structured focus group and appraisal by health professional regulatory and training organisations. Descriptive statistics and central tendency measures calculated determined quantitative data characteristics and consensus. Content analysis using emergent coding was used for qualitative content. Eighty-four diabetes experts were recruited from nursing and midwifery (n = 60 [71%]), allied health (n = 17 [20%]), and pharmacy (n = 7 [9%]) disciplines. Participant responses identified 7 health professional practice levels requiring differences in diabetes training, 9 capability areas to support care, and 2 to 16 statements attained consensus for each capability—259 in total. Additionally, workforce solutions were identified to expand capacity for diabetes care. The rigorous consultation process led to the design and validation of a Capability Framework for Diabetes Care that addresses workforce enablers identified by the Australian National Diabetes Strategy. It recognises diversity, creating shared understandings of diabetes across health professional disciplines. The findings will inform diabetes policy, practice, education, and research. Language eng DOI 10.3390/ijerph19021012 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30161856 Document type: Journal Article Collections: Faculty of Health School of Nursing and Midwifery Open Access Collection Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Link to full-text (Open access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 24 Jan 2022, 07:09:59 EST Mon, 24 Jan 2022, 15:15:34 EST Mon, 24 Jan 2022, 15:24:21 EST Mon, 24 Jan 2022, 15:30:44 EST Tue, 25 Jan 2022, 09:29:53 EST Fri, 28 Jan 2022, 05:05:43 EST Sat, 19 Feb 2022, 01:30:15 EST Sat, 19 Feb 2022, 01:45:24 EST Wed, 16 Mar 2022, 11:58:34 EST Wed, 16 Mar 2022, 15:20:25 EST Wed, 16 Mar 2022, 15:26:27 EST Thu, 31 Mar 2022, 14:37:45 EST Thu, 31 Mar 2022, 14:39:17 EST Thu, 31 Mar 2022, 14:40:29 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 25 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 24 Jan 2022, 07:09:59 EST