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1.
Med Teach ; 45(1): 80-88, 2023 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-35914523

RESUMEN

PURPOSE: We sought to design a micro-curriculum to structure supervised clinical placements for junior medical students within a variety of community-based settings of differing clinical disciplines. Given the gaps in the literature, this paper reflects on the opportunities and challenges of our design, implementation, and evaluation strategies in constructing an integrated task-based micro-curriculum for interprofessional community-based learning in year 2 of a four-year graduate entry program. METHODS: The design was informed by a systems thinking framework and guided by contemporary curricular theories on self-directed and interprofessional learning. Extensive consultations with stakeholders were undertaken. Alignment with relevant national level documents and curricular frameworks was ensured. RESULTS: The systems thinking approach provided first, an experience of applying thinking tools for a deeper understanding of how various parts of this micro-curriculum and subsystems should be integrated. Second, applying the toolkit uncovered tension points on which leverage could optimise future enhancements. Eighteen types of health professions were recruited including 105 general practitioners and 253 healthcare practitioners from a range of disciplines. CONCLUSION: Systems thinking allows for the identification of various interacting elements within the curriculum to be considered as part of an integrated whole. Insights from this model could inform the design of similar innovative curricula.


Asunto(s)
Curriculum , Estudiantes de Medicina , Humanos , Aprendizaje , Modelos Educacionales , Empleos en Salud
2.
BMJ Open ; 10(6): e036475, 2020 06 21.
Artículo en Inglés | MEDLINE | ID: mdl-32565470

RESUMEN

INTRODUCTION: With almost 50% of cases preventable and the Australian National Bowel Cancer Screening Program in place, colorectal cancer (CRC) is a prime candidate for investment to reduce the cancer burden. The challenge is determining effective ways to reduce morbidity and mortality and their implementation through policy and practice. Pathways-Bowel is a multistage programme that aims to identify best-value investment in CRC control by integrating expert and end-user engagement; relevant evidence; modelled interventions to guide future investment; and policy-driven implementation of interventions using evidence-based methods. METHODS AND ANALYSIS: Pathways-Bowel is an iterative work programme incorporating a calibrated and validated CRC natural history model for Australia (Policy1-Bowel) and assessing the health and cost outcomes and resource use of targeted interventions. Experts help identify and prioritise modelled evaluations of changing trends and interventions and critically assess results to advise on their real-world applicability. Where appropriate the results are used to support public policy change and make the case for optimal investment in specific CRC control interventions. Fourteen high-priority evaluations have been modelled or planned, including evaluations of CRC outcomes from the changing prevalence of modifiable exposures, including smoking and body fatness; potential benefits of daily aspirin intake as chemoprevention; increasing CRC incidence in people aged <50 years; increasing screening participation in the general and Aboriginal and Torres Strait Islander populations; alternative screening technologies and modalities; and changes to follow-up surveillance protocols. Pathways-Bowel is a unique, comprehensive approach to evaluating CRC control; no prior body of work has assessed the relative benefits of a variety of interventions across CRC development and progression to produce a list of best-value investments. ETHICS AND DISSEMINATION: Ethics approval was not required as human participants were not involved. Findings are reported in a series of papers in peer-reviewed journals and presented at fora to engage the community and policymakers.


Asunto(s)
Neoplasias Colorrectales/prevención & control , Modelos Teóricos , Algoritmos , Australia , Erradicación de la Enfermedad , Detección Precoz del Cáncer , Conductas Relacionadas con la Salud , Promoción de la Salud , Humanos , Prevención Primaria
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