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Factors influencing patient education in shared medical appointments: Integrative literature review
Institution:1. Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Midwifery Science, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands;2. University of Groningen, University Medical Center Groningen, Department of General Practice & Elderly Medicine, Groningen, The Netherlands;3. AVAG (Academy Midwifery Amsterdam and Groningen), Groningen, The Netherlands;4. Vrije Universiteit Amsterdam, Athena Institute for Transdisciplinary Research, Amsterdam, The Netherlands;5. Amsterdam UMC, The Netherlands
Abstract:ObjectiveThis integrative literature review investigates the factors influencing patient education in Shared Medical Appointments.MethodsFollowing template analysis method, we used key concepts of the Social Cognitive Theory (SCT) and Social Constructivism as a priori themes. After detailed analysis of the included studies, we deduced subthemes, forming a final template. Based on this final template, we analysed our data again as a final check.ResultsWe included 22 studies. We found that the factors feeling of bonding, humour, feeling of safety, access to information, time, relationship participants-staff, modelling and self-regulation influence the education of SMA participants. Furthermore, we found that health care providers function both as leaders and peers.ConclusionWe found eight factors that influence the education of SMA participants. Health care providers exert influence on these factors, but in turn, they are also influenced by them in their transfer of knowledge.Practice implicationsIn order to create a climate of learning and to promote transfer of knowledge, these eight factors should be considered. Health care providers should be aware of their roles and they might need some extra skills for their leadership roles. This can also lead to practical implications for the curriculum in medical schools.
Keywords:Shared medical appointments  Patient education  Peer learning  Role of health care providers  Modelling  Identification
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