title: Social simulation theory: a framework to explain nurses' understanding of patients' experiences of ill-health.
abstract: A fundamental aim in caring practice is to understand patients' experiences of ill-health. These experiences have a qualitative content and cannot, unlike thoughts and beliefs with conceptual content, directly be expressed in words. Nurses therefore face a variety of interpretive challenges when they aim to understand patients' subjective perspectives on disease and illness. The article argues that theories on social simulation can shed light on how nurses manage to meet these challenges. The core assumption of social simulationism is that we do not understand other people by forming mental representations of how they think, but by putting ourselves in their situation in a more imaginative way. According to simulationism, any attempt to understand a patient's behavior is made on the basis of simulating what it is like to be that patient in the given context. The article argues that this approach to social interpretation can clarify how nurses manage to achieve aims of patient understanding, even when they have limited time to communicate and incomplete knowledge of patients' perspectives. Furthermore, simulation theory provides a normative framework for interpretation, in the sense that its theoretical assumptions constitute ideals for how nurses should seek to understand patients' experiences of illness.
authors.affiliation: Faculty of Medicine, Department of Health and Society, The University College of Lillehammer, Lillehammer, Norway.
authors.forename: Halvor
authors.initials: H
authors.lastname: Nordby
mesh_terms: D001291:Attitude of Health Personnel; D002983:Clinical Competence; D003142:Communication; D004645:Empathy; D006801:Humans; D009723:Nurse-Patient Relations; D015404:Nursing Methodology Research; D009741:Nursing Staff, Hospital / Q000523:psychology*; D066269:Social Theory
keywords: caring practice; concept possession; conceptions of illness; nurse-patient interaction; social simulation