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J Eval Clin Pract. 2014 Aug;20(4):534-43. doi: 10.1111/jep.12101. Epub 2013 Dec 3.

Expert knowledge elicitation using computer simulation: the organization of frail elderly case management as an illustration.

Author information

1
Institute of Health and Society (IRSS), Université catholique de Louvain (UCL), Woluwé St Lambert, Belgium.

Abstract

BACKGROUND:

Various elderly case management projects have been implemented in Belgium. This type of long-term health care intervention involves contextual factors and human interactions. These underlying complex mechanisms can be usefully informed with field experts' knowledge, which are hard to make explicit. However, computer simulation has been suggested as one possible method of overcoming the difficulty of articulating such elicited qualitative views.

METHODS:

A simulation model of case management was designed using an agent-based methodology, based on the initial qualitative research material. Variables and rules of interaction were formulated into a simple conceptual framework. This model has been implemented and was used as a support for a structured discussion with experts in case management.

RESULTS:

The rigorous formulation provided by the agent-based methodology clarified the descriptions of the interventions and the problems encountered regarding: the diverse network topologies of health care actors in the project; the adaptation time required by the intervention; the communication between the health care actors; the institutional context; the organization of the care; and the role of the case manager and his or hers personal ability to interpret the informal demands of the frail older person.

CONCLUSION:

The simulation model should be seen primarily as a tool for thinking and learning. A number of insights were gained as part of a valuable cognitive process. Computer simulation supporting field experts' elicitation can lead to better-informed decisions in the organization of complex health care interventions.

KEYWORDS:

agent-based modelling; case management; complexity; computer simulation; health care organization; knowledge

PMID:
24299258
DOI:
10.1111/jep.12101
[Indexed for MEDLINE]

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