Dataset Information

Diabetes Capabilities for the Healthcare Workforce Identified via a 3-Staged Modified Delphi Technique.

ABSTRACT: 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.

SUBMITTER: Murfet G

PROVIDER: S-EPMC8775604 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectiveThe low performance of primary medical institutions (PMIs) in China is a significant issue. The WHO proposed that the main reason for the failure of the healthcare system in developing countries is poor organisational capabilities. However, there is no international tool for evaluating the organisational capabilities of PMIs. Therefore, this study aimed to develop an index system for evaluating the organisational capabilities of PMIs.DesignWe searched the literature (English and Chinese) published before June 2020 in the PubMed, China National Knowledge Infrastructure and Wanfang databases to conduct a literature review and develop a preliminary indicator pool. Then, two rounds of Delphi expert consultations were conducted by email from June to September 2020, followed by screening, revision and supplementation of the indicators using the boundary value method. Finally, the analytic hierarchy process was used to determine the weight of the indicators.SettingThe Delphi consultation questionnaire was distributed to the leaders of PMIs in districts D, F and S in Beijing, China.ParticipantsNineteen leaders of PMIs who had a profound understanding of PMI operations and management and were able to participate in Delphi research from a professional and comprehensive perspective were included in this study.ResultsThe Cr values were 0.76 (first-level indicators) and 0.78 (second-level indicators), indicating that the expert consultation results were accurate and reliable. The result of the expert coordination coefficient test was significant at the p<0.01 level, suggesting that the experts' views were consistent. The organisational capability index system includes 3 first-level indicators, 9 second-level indicators and 37 third-level indicators.ConclusionsAn index system for the organisational capabilities of PMIs was developed. This index system is a scoring system that focuses on basic service capabilities, management capabilities and sustainable development capabilities, and it can determine the priority of improvement areas for PMIs.

Project description:ObjectivesOpen organisational culture in hospitals is important, yet it remains unclear what it entails other than its referral to 'open communication' in the context of patient safety. This study aims to identify the elements of an open hospital culture.MethodsIn this group consensus study with a Delphi technique, statements were constructed based on the existing patient safety literature and input of 11 healthcare professionals from different backgrounds. A final framework consisting of 36 statements was reviewed on inclusion and exclusion, in multiple rounds by 32 experts and professionals working in healthcare. The feedback was analysed and shared with the panel after the group reached consensus on statements (>70% agreement).ResultsThe procedure resulted in 37 statements representing tangible (ie, leadership, organisational structures and processes, communication systems, employee attitudes, training and development, and patient orientation) and intangible themes (ie, psychological safety, open communication, cohesion, power, blame and shame, morals and ethics, and support and trust). The culture themes' teamwork and commitment were not specific for an open culture, contradicting the patient safety literature. Thereby, an open mind was shown to be a novel characteristic.ConclusionsOpen culture entails an open mind-set and attitude of professionals beyond the scope of patient safety in which there is mutual awareness of each other's (un)conscious biases, focus on team relationships and professional well-being and a transparent system with supervisors/leaders being role models and patients being involved. Although it is generally acknowledged that microlevel social processes necessary to enact patient safety deserve more attention, research has largely emphasised system-level structures and processes. This study provides practical enablers for addressing system and microlevel social processes to work towards an open culture in and across teams.

Dataset Information

Diabetes Capabilities for the Healthcare Workforce Identified via a 3-Staged Modified Delphi Technique.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets