| Literature DB >> 29041802 |
Marietjie R De Villiers1, Julia Blitz, Ian Couper, Athol Kent, Kalavani Moodley, Zohray Talib, Susan Van Schalkwyk, Taryn Young.
Abstract
INTRODUCTION: Health professions training institutions are challenged to produce greater numbers of graduates who are more relevantly trained to provide quality healthcare. Decentralised training offers opportunities to address these quantity, quality and relevance factors. We wanted to draw together existing expertise in decentralised training for the benefit of all health professionals to develop a model for decentralised training for health professions students.Entities:
Mesh:
Year: 2017 PMID: 29041802 PMCID: PMC5645562 DOI: 10.4102/phcfm.v9i1.1449
Source DB: PubMed Journal: Afr J Prim Health Care Fam Med ISSN: 2071-2928
Key factors for decentralised training.
| Components | Key factors |
|---|---|
| Responsive student curriculum and assessment | Based on burden of disease |
| Fit for purpose, socially accountable | |
| Longitudinal, integrated | |
| Primary healthcare focused, relevant procedures and clinical skills | |
| Critical thinking, ethics, law, professionalism | |
| National and local health system needs | |
| Service learning and blended learning | |
| Transformative student experience | Continuity of care |
| Role definition for all stakeholders | |
| Community immersion, inter-professional teams, wider exposure | |
| Student support – briefing, debriefing, mentors, safety | |
| Logistics and operational needs – learning space, accommodation, etc. | |
| Enabling training environment | Clinical educators trained in appropriate educational theory and skills |
| Adequate infrastructure, equipment, space, security | |
| Appropriate patient mix, practitioner profile, community, quality of care | |
| Optimal numbers, student-to-trainer ratio, number of practitioners | |
| Community engagement | Training at all levels (clinic, mobile clinic, ward health, community) |
| Longitudinal continuous experience | |
| Attachment to community and households | |
| Community-oriented primary care | |
| Engagement of community in governance | |
| Engagement of students as teachers, peer learning | |
| Conducting of situational analysis, mapping, assessments | |
| Effective leadership and oversight | Dedicated leadership and oversight, identified champions |
| Mission alignment, health facility becomes learning organisation | |
| Site selection, supervision requirements, costing | |
| Core curriculum to standardise | |
| Students to learn in busy clinical settings | |
| Develop community of practice with everyone, from leadership down | |
| Demonstrate students’ contribution |
FIGURE 1A mind map of decentralised training. This mind map organises a decentralised learning organisation (DLO) in terms of the how, why, where, what, when and who. Under each of these headings, various critical elements that need to be considered are listed. The term ‘hybrids’ refers to clinician educators at the decentralised sites who are also involved in supervising and training students.
FIGURE 5A process model. This model for decentralised learning is characterised by a focus on the process to be followed towards the creation of an enabling decentralised training environment. The model recognises the inputs of all the key role players – the Department of Health, the community in which the decentralised site is established and the academic institution responsible for the training programme. The academic institution’s approach is influenced by its specific context, culture and philosophy. These combine to form a vision and a mission for the learning that takes place at the HPCSA accredited decentralised site, which requires the development first of the core curriculum and then the decentralised site. Implementation strategies require shared resources, namely curricula, sites and opportunities for faculty development. Importantly, this entire process is underpinned by principles that include continuity, life-long learning, approaches to learning, inter-professional education and the embedding of graduate attributes.