Using network models in person-centered care in psychiatry: How perspectivism could help to draw boundaries

N.S. de Boer; D. Kostić; M. Ross; L. de Bruin; G. Glas

doi:10.3389/fpsyt.2022.925187

Using network models in person-centered care in psychiatry: How perspectivism could help to draw boundaries

N.S. de Boer
, D. Kostić
, M. Ross
, L. de Bruin
, G. Glas

Epistemology and Metaphysics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Copyright © 2022 de Boer, Kostić, Ross, de Bruin and Glas.In this paper, we explore the conceptual problems that arise when using network analysis in person-centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises boundary problems, i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that perspectival reasoning can make more explicit what questions personalized network models can address in PCC, given their boundaries.

Original language	English
Article number	925187
Journal	Frontiers in Psychiatry
Volume	13
DOIs	https://doi.org/10.3389/fpsyt.2022.925187
Publication status	Published - 16 Sept 2022

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DK would like to acknowledge funding from the Radboud Excellence Initiative.

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10.3389/fpsyt.2022.925187

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title = "Using network models in person-centered care in psychiatry: How perspectivism could help to draw boundaries",

abstract = "Copyright {\textcopyright} 2022 de Boer, Kosti{\'c}, Ross, de Bruin and Glas.In this paper, we explore the conceptual problems that arise when using network analysis in person-centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises boundary problems, i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that perspectival reasoning can make more explicit what questions personalized network models can address in PCC, given their boundaries.",

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AU - de Bruin, L.

AU - Glas, G.

PY - 2022/9/16

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N2 - Copyright © 2022 de Boer, Kostić, Ross, de Bruin and Glas.In this paper, we explore the conceptual problems that arise when using network analysis in person-centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises boundary problems, i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that perspectival reasoning can make more explicit what questions personalized network models can address in PCC, given their boundaries.

AB - Copyright © 2022 de Boer, Kostić, Ross, de Bruin and Glas.In this paper, we explore the conceptual problems that arise when using network analysis in person-centered care (PCC) in psychiatry. Personalized network models are potentially helpful tools for PCC, but we argue that using them in psychiatric practice raises boundary problems, i.e., problems in demarcating what should and should not be included in the model, which may limit their ability to provide clinically-relevant knowledge. Models can have explanatory and representational boundaries, among others. We argue that perspectival reasoning can make more explicit what questions personalized network models can address in PCC, given their boundaries.

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JF - Frontiers in Psychiatry

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ER -

Using network models in person-centered care in psychiatry: How perspectivism could help to draw boundaries

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