METHODS: Two SIMBA sessions-thyroid and pituitary-were conducted in July-August 2020. Each session included simulation of various real-life cases and interactive discussion. Participants' self-reported confidence, acceptance, and knowledge were measured using surveys and multiple-choice questions pre- and post-simulation and in a 6- to 12-week follow-up period. The evaluation surveys were designed using Moore's 7 Levels of CME Outcomes Framework.
RESULTS: A total of 116 participants were included in the analysis. Significant improvement was observed in participants' self-reported confidence in approach to simulated cases (thyroid, n = 37, P
OBJECTIVES: Due to this discrepancy between the academic curriculum and the skills needed in the healthcare industry, the objectives of this study are to define the career pathway for eHealth professions and identify the challenges experienced by academic institutions and the industry in describing digital health professionals.
METHODS: We elicited qualitative data by conducting six focus groups with individuals from different professional backgrounds, including healthcare workers, information managers, computer sciences professionals, and workers in the revenue cycle who participated in a workshop on November 2-3, 2019, in Dubai. All focus group sessions were audio-recorded and transcribed, and participants were de-identified before analysis. An exploratory method was used to identify themes and subthemes. Saturation was reached when similar responses were found during the analysis. In this study, we found that respondents clearly defined eHealth career pathways based on criteria that included qualifications, experience, job scope, and competency. We also explored the challenges that the respondents encountered, including differences in the required skill sets and training and the need to standardize the academic curriculum across the GCC region, to recognize the various career pathways, and to develop local training programs. Additionally, country-specific projects have been initiated, such as the competency-based Digital Health framework, which was developed by the Saudi Commission of Healthcare Specialties (SCFHS) in 2018. Competency-based digital health frameworks generally include relevant job definitions, roles, and recommended competencies. Both the GCC taskforce and the Saudi studies capitalized on previous efforts by professional organizations, including Canada's Digital Health formerly known as (COACH), the U.S. Office of the National Coordinator for Health Information Technology (ONC), the American Medical Informatics Association (AMIA), and the Health Information and Management Systems Society (HIMSS).
RESULTS: In this study, we found that respondents defined eHealth career pathways based on different criteria such as: qualifications; various background of health and IT in the HI field; work experiences; job scope and competency. We also further explore the challenges that the respondents encountered which delineates four key aspects such as need of hybrid skills to manage the digital transformation, need of standardization of academic curriculum across GCC, recognition of the career pathways by the industry in order to open up career opportunity and career advancement, and availability of local training programs for up-skilling the current health workforce.
CONCLUSION: We believe that successful health digital transformation is not limited to technology advancement but requires an adaptive change in: the related competency-based frameworks, the organisation of work and career paths for eHealth professionals, and the development of educational programmes and joint degrees to equip clinicians with understanding of technology, and informaticians with understanding of healthcare. We anticipate that this work will be expanded and adopted by relevant professional and scientific bodies in the GCC region.
DATA SOURCES: Twelve electronic bibliographic databases.
REVIEW METHODS: Evidence was extracted from original studies, and integrated in a narrative synthesis guided by the PRISMA statement for reporting systematic reviews. Personal domains were clustered into themes using a modified Delphi technique.
RESULTS: A total of 584 articles were screened. 65 unique studies (80 articles) matched our inclusion criteria of which seven were conducted within nursing/midwifery faculties. Six in 10 studies featured applicants to medical school. Across selection processes, we identified 32 personal domains assessed by MMIs, the most frequent being: communication skills (84%), teamwork/collaboration (70%), and ethical/moral judgement (65%). Domains capturing ability to cope with stressful situations (14%), make decisions (14%), and resolve conflict in the workplace (13%) featured in fewer than ten studies overall. Intra- and inter-disciplinary inconsistencies in domain profiles were noted, as well as differences by entry level. MMIs deployed in nursing and midwifery assessed compassion and decision-making more frequently than in all other disciplines. Own programme philosophy and professional body guidance were most frequently cited (~50%) as sources for personal domains; a blueprinting process was reported in only 8% of studies.
CONCLUSIONS: Nursing, midwifery and allied healthcare professionals should develop their theoretical frameworks for MMIs to ensure they are evidence-based and fit-for-purpose. We suggest a re-evaluation of domain priorities to ensure that students who are selected, not only have the capacity to offer the highest standards of care provision, but are able to maintain these standards when facing clinical practice and organisational pressures.
METHODS: A prepost study design was conducted in 2017. The 8-hour Smoking Cessation Organising, Planning and Execution (SCOPE) training comprised lectures, practical sessions and role-play sessions to 218 healthcare providers. A validated evaluation tool, Providers' Smoking Cessation Training Evaluation, was administered to assess the impact of training on knowledge, attitude and self-efficacy on smoking cessation intervention.
RESULTS: After SCOPE training, the knowledge score increased significantly from 7.96±2.34 to 10.35±1.57 (p<0.001). Attitude and self-efficacy in smoking cessation intervention also increased significantly from 34.32±4.12 to 37.04±3.92 (p<0.001) and 40.31±8.61 to 54.67±7.45 (p<0.001) respectively. Pretraining and post-training scores improved significantly for all professions, and each measure, particularly self-efficacy.
CONCLUSION: This study demonstrates that SCOPE training could improve healthcare providers' knowledge, attitude and self-efficacy on smoking cessation intervention. Future training is recommended to equip healthcare providers with current knowledge, positive attitude and high self-efficacy to integrate what they have learned into practice successfully.
METHODS AND ANALYSIS: Scopus, CINAHL, Academic Search Complete, Cochrane Library, MEDLINE and Psychology and Behavioral Sciences Collection databases were selected. Screening was conducted independently by at least two authors and the decision for inclusion was done through discussion or involvement of an arbiter against a predetermined criteria. Included articles will be evaluated for quality using A MeaSurement Tool to Assess systematic Reviews and Risk of Bias in Systematic Review tools, while primary systematic review articles will be cross-checked and reported for any overlapping using the 'corrected covered area' method. Only narrative synthesis will be employed according to the predefined themes into two major dimensions-theory and knowledge generation (focusing on cognitive taxonomy due to its ability to be generalised across disciplines), and clinical-based competence (focusing on psychomotor and affective taxonomies due to discipline-specific influence). The type of technology used will be identified and extracted.
ETHICS AND DISSEMINATION: The OoSR involves analysis of secondary data from published literature, thus ethical approval is not required. The findings will provide a valuable insight for policymakers, stakeholders, and researchers in terms of technology-based learning implementation and gaps identification. The findings will be published in several reports due to the extensiveness of the topic and will be disseminated through peer-reviewed publications and conferences.
PROSPERO REGISTRATION NUMBER: CRD4202017974.