Defining suffering in pain. A systematic review on pain-related suffering using natural language processing.


Journal

Pain
ISSN: 1872-6623
Titre abrégé: Pain
Pays: United States
ID NLM: 7508686

Informations de publication

Date de publication:
05 Mar 2024
Historique:
received: 21 07 2023
accepted: 26 11 2023
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 7 3 2024
Statut: aheadofprint

Résumé

Understanding, measuring, and mitigating pain-related suffering is a key challenge for both clinical care and pain research. However, there is no consensus on what exactly the concept of pain-related suffering includes, and it is often not precisely operationalized in empirical studies. Here, we (1) systematically review the conceptualization of pain-related suffering in the existing literature, (2) develop a definition and a conceptual framework, and (3) use machine learning to cross-validate the results. We identified 111 articles in a systematic search of Web of Science, PubMed, PsychINFO, and PhilPapers for peer-reviewed articles containing conceptual contributions about the experience of pain-related suffering. We developed a new procedure for extracting and synthesizing study information based on the cross-validation of qualitative analysis with an artificial intelligence-based approach grounded in large language models and topic modeling. We derived a definition from the literature that is representative of current theoretical views and describes pain-related suffering as a severely negative, complex, and dynamic experience in response to a perceived threat to an individual's integrity as a self and identity as a person. We also offer a conceptual framework of pain-related suffering distinguishing 8 dimensions: social, physical, personal, spiritual, existential, cultural, cognitive, and affective. Our data show that pain-related suffering is a multidimensional phenomenon that is closely related to but distinct from pain itself. The present analysis provides a roadmap for further theoretical and empirical development.

Identifiants

pubmed: 38452202
doi: 10.1097/j.pain.0000000000003195
pii: 00006396-990000000-00542
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : SFB 1158
Organisme : Bundesministerium für Bildung und Forschung
ID : FKZ:01 EC1904A

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain.

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Auteurs

Niklas Noe-Steinmüller (N)

Department of General Internal Medicine and Psychosomatics, University Hospital Heidelberg, Heidelberg, Germany.

Dmitry Scherbakov (D)

School of Public Health, University of Haifa, Haifa, Israel.

Alexandra Zhuravlyova (A)

School of Public Health, University of Haifa, Haifa, Israel.

Tor D Wager (TD)

Dartmouth College, Hanover, NH, United States.

Pavel Goldstein (P)

School of Public Health, University of Haifa, Haifa, Israel.

Jonas Tesarz (J)

Department of General Internal Medicine and Psychosomatics, University Hospital Heidelberg, Heidelberg, Germany.

Classifications MeSH