The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data

Lisiane Pruinelli; Minh Nguyen; Nicholas Stalter; Steven G. Johnson; Gyorgy Simon; Stuart Speedie; Sisi Ma

doi:10.3233/SHTI240153

The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data

Lisiane Pruinelli, Minh Nguyen, Nicholas Stalter, Steven G. Johnson, Gyorgy Simon, Stuart Speedie, Sisi Ma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We developed a method of using the Clinically Aligned Pain Assessment (CAPA) measures to reconstruct the Numeric Rating System (NRS). We used an observational retrospective cohort study design with prospective validation using de-identified adult patient data derived from a major health system. Data between 2011-2017 were used for development and 2018-2020 for validation. All included patients had at least one NRS and CAPA measurement at the same time. An ordinal regression model was built with CAPA components to predict NRS scores. We identified 6,414 and 3,543 simultaneous NRS-CAPA pairs in the development and validation dataset, respectively. All CAPA components were significantly related to NRS, with RMSE of 1.938 and Somers' D of 0.803 on the development dataset, and RMSE of 2.1 and Somers' D of 0.74 when prospectively validated. Our model was capable of accurately reconstructing NRS based on CAPA and was exact when the NRS was [0,7].

Original language	English (US)
Title of host publication	Innovation in Applied Nursing Informatics
Editors	Gillian Strudwick, Nicholas R. Hardiker, Glynda Rees, Robyn Cook, Robyn Cook, Young Ji Lee
Publisher	IOS Press BV
Pages	279-283
Number of pages	5
ISBN (Electronic)	9781643685274
DOIs	https://doi.org/10.3233/SHTI240153
State	Published - Jul 24 2024
Event	16th International Congress on Nursing Informatics, NI 2024 - Manchester, United Kingdom Duration: Jul 28 2024 → Jul 31 2024

Publication series

Name	Studies in Health Technology and Informatics
Volume	315
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	16th International Congress on Nursing Informatics, NI 2024
Country/Territory	United Kingdom
City	Manchester
Period	7/28/24 → 7/31/24

Bibliographical note

Publisher Copyright:
© 2024 The Authors.

Keywords

Linear Models
Pain Intensity
Prospective Validation
Quality of Life

PubMed: MeSH publication types

Journal Article
Validation Study
Observational Study

Publisher link

10.3233/SHTI240153

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Cite this

Pruinelli, L., Nguyen, M., Stalter, N., Johnson, S. G., Simon, G., Speedie, S., & Ma, S. (2024). The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. In G. Strudwick, N. R. Hardiker, G. Rees, R. Cook, R. Cook, & Y. J. Lee (Eds.), Innovation in Applied Nursing Informatics (pp. 279-283). (Studies in Health Technology and Informatics; Vol. 315). IOS Press BV. https://doi.org/10.3233/SHTI240153

The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. / Pruinelli, Lisiane; Nguyen, Minh; Stalter, Nicholas et al.
Innovation in Applied Nursing Informatics. ed. / Gillian Strudwick; Nicholas R. Hardiker; Glynda Rees; Robyn Cook; Robyn Cook; Young Ji Lee. IOS Press BV, 2024. p. 279-283 (Studies in Health Technology and Informatics; Vol. 315).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pruinelli, L, Nguyen, M, Stalter, N, Johnson, SG , Simon, G , Speedie, S & Ma, S 2024, The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. in G Strudwick, NR Hardiker, G Rees, R Cook, R Cook & YJ Lee (eds), Innovation in Applied Nursing Informatics. Studies in Health Technology and Informatics, vol. 315, IOS Press BV, pp. 279-283, 16th International Congress on Nursing Informatics, NI 2024, Manchester, United Kingdom, 7/28/24. https://doi.org/10.3233/SHTI240153

Pruinelli L, Nguyen M, Stalter N, Johnson SG , Simon G , Speedie S et al. The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data. In Strudwick G, Hardiker NR, Rees G, Cook R, Cook R, Lee YJ, editors, Innovation in Applied Nursing Informatics. IOS Press BV. 2024. p. 279-283. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI240153

Pruinelli, Lisiane ; Nguyen, Minh ; Stalter, Nicholas et al. / The Relationship between Patient Perceived Pain and the Numerical Rating System : A Prospective Validation Using Electronic Health Record Data. Innovation in Applied Nursing Informatics. editor / Gillian Strudwick ; Nicholas R. Hardiker ; Glynda Rees ; Robyn Cook ; Robyn Cook ; Young Ji Lee. IOS Press BV, 2024. pp. 279-283 (Studies in Health Technology and Informatics).

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The Relationship between Patient Perceived Pain and the Numerical Rating System: A Prospective Validation Using Electronic Health Record Data

Abstract

Publication series

Conference

Bibliographical note

Keywords

PubMed: MeSH publication types

Publisher link

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