Defining suffering in pain

• Verfasst von: Noe-Steinmüller, Niklas [VerfasserIn]
• Verfasst von: Scherbakov, Dmitry [VerfasserIn]
• Verfasst von: Zhuravlyova, Alexandra [VerfasserIn]
• Verfasst von: Wager, Tor D. [VerfasserIn]
• Verfasst von: Goldstein, Pavel [VerfasserIn]
• Verfasst von: Tesarz, Jonas [VerfasserIn]
• Titel: Defining suffering in pain
• Titelzusatz: a systematic review on pain-related suffering using natural language processing
• Verf.angabe: Niklas Noe-Steinmüller, Dmitry Scherbakov, Alexandra Zhuravlyova, Tor D. Wager, Pavel Goldstein, Jonas Tesarz
• E-Jahr: 2024
• Jahr: March 5, 2024
• Umfang: 16 S.
• Fussnoten: Gesehen am 28.03.2024
• Titel Quelle: Enthalten in: Pain
• Ort Quelle: New York, NY [u.a.] : Lippincott Williams and Wilkins, 1975
• Jahr Quelle: 2024
• Band/Heft Quelle: 125(2024), Seite 1-16
• ISSN Quelle: 1872-6623
• DOI: doi:10.1097/j.pain.0000000000003195
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Kommentar in: Wideman, Timothy H.: Defining pain-related suffering requires partnership with people living with pain and careful critical thought
• K10plus-PPN: 1884573460

Abstract

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.