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Crystal Field Theory
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Understanding complexity - the palliative care situation as a complex adaptive system.

Farina Hodiamont1, Saskia Jünger2,3, Reiner Leidl4,5

  • 1Department of Palliative Medicine, Munich University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. farina.hodiamont@med.uni-muenchen.de.

BMC Health Services Research
|March 15, 2019
PubMed
Summary
This summary is machine-generated.

Complexity in palliative care (PC) situations is understood through complex adaptive systems (CAS). This framework helps professionals understand and manage patient, social, and team dynamics for better care structures.

Keywords:
Complex adaptive systemsComplexityPalliative careSystem theory, classification, qualitative research

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Area of Science:

  • Palliative Care
  • Complex Adaptive Systems Theory
  • Healthcare Management

Background:

  • Complexity in palliative care (PC) is recognized but lacks clear definition and operationalization.
  • PC situations are characterized by non-linear relations and uncertainties, requiring tailored problem-solving.
  • Complex Adaptive Systems (CAS) theory offers a framework for understanding and addressing complex problems.

Purpose of the Study:

  • To identify criteria contributing to complexity in PC situations from a professional perspective.
  • To develop a conceptual framework for understanding complexity in PC using CAS theory.
  • To improve the conceptualization of complexity and related elements within PC situations.

Main Methods:

  • Qualitative study involving 42 semi-structured expert interviews (clinical, economic, political).
  • Data analysis using the framework method with an inductively developed thematic framework.
  • Categories were refined and integrated with CAS theory.

Main Results:

  • A CAS model for PC situations comprises three subsystems: patient, social system, and team.
  • The 'patient' subsystem includes physical, psycho-spiritual, and socio-cultural agents.
  • Interactions among agents and subsystems, influenced by environmental factors, shape the overall PC situation dynamics.

Conclusions:

  • The study provides a conceptual framework for understanding complexity in PC.
  • A systemic view aids in managing individual care situations and developing broader care structures.
  • The framework supports developing models to differentiate PC situations by complexity and guides operationalization and classification.