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Development and Validation of a Screening Tool for Surgery-Specific Neuropathic Pain: Neuropathic Pain Scale for Postsurgical Patients

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@article{6f84532fd12e42a18f90ce663f92a30c,
title = "Development and Validation of a Screening Tool for Surgery-Specific Neuropathic Pain: Neuropathic Pain Scale for Postsurgical Patients",
abstract = "BACKGROUND: Despite the existence of several screening tools for neuropathic pain, none of these are specific to surgery. We have developed a simple questionnaire tool, the Neuropathic Pain scale for Postsurgical patients (NeuPPS), to measure neuropathic pain in postsurgical patients.OBJECTIVES: The aim was to validate this tool in a breast cancer population using an item response theory model, resulting in an easy-to-use scale.STUDY DESIGN: Development was based on literature reviews and interviews with patients and experts and consisted of 6 items. It was tested among 2,217 long-term breast cancer survivors, and cross-validated in another data set of breast cancer survivors with 18 months follow-up.SETTING: We tested the questionnaire tool among breast cancer survivors in 2 cohorts, one nationwide and one of consecutively treated patients at Rigshospitalet, Copenhagen, Denmark.METHODS: Items were assessed for criterion-related construct validity using the Rasch model, and for convergent validity by comparison to another neuropathic pain screening tool, the self-report version of the Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) pain scale.RESULTS: The selected 5-item model showed good fit, unidimensionality, monotonicity, and homogeneity. This result was reproducible in the cross-validation population. In a combined dataset with data from both studies, the model displayed a slightly lower fit, suggesting that items to some degree may vary over time. The Spearman rank correlation between the NeuPPS and S-LANSS was P = 0.57.LIMITATIONS: We observed differential item functioning between the primary study population and the cross-validation population, meaning that some items behave differently at different follow-up times or study populations.CONCLUSIONS: With the NeuPPS, we have validated a simple and easy-to-fill-out questionnaire tool for the measurement of neuropathic pain among postsurgical patients. The items are additive, giving a total score that measures neuropathic pain symptoms.KEY WORDS: Scale validation, Rasch analysis, item response model, persistent postoperative pain, intercostobrachial nerve, neuropathy, neuropathic pain, quantitative sensory testing, breast cancer.",
keywords = "Adult, Aged, Breast Neoplasms/surgery, Denmark, Female, Humans, Male, Middle Aged, Neuralgia/diagnosis, Pain Measurement/methods, Pain, Postoperative/diagnosis, Reproducibility of Results, Self Report, Surveys and Questionnaires",
author = "Mejdahl, {Mathias Kvist} and Christensen, {Karl Bang} and Andersen, {Kenneth Geving}",
year = "2019",
language = "English",
volume = "22",
pages = "E81--E90",
journal = "Pain Physician",
issn = "1533-3159",
publisher = "American Society of Interventional Pain Physicians",
number = "2",

}

RIS

TY - JOUR

T1 - Development and Validation of a Screening Tool for Surgery-Specific Neuropathic Pain

T2 - Neuropathic Pain Scale for Postsurgical Patients

AU - Mejdahl, Mathias Kvist

AU - Christensen, Karl Bang

AU - Andersen, Kenneth Geving

PY - 2019

Y1 - 2019

N2 - BACKGROUND: Despite the existence of several screening tools for neuropathic pain, none of these are specific to surgery. We have developed a simple questionnaire tool, the Neuropathic Pain scale for Postsurgical patients (NeuPPS), to measure neuropathic pain in postsurgical patients.OBJECTIVES: The aim was to validate this tool in a breast cancer population using an item response theory model, resulting in an easy-to-use scale.STUDY DESIGN: Development was based on literature reviews and interviews with patients and experts and consisted of 6 items. It was tested among 2,217 long-term breast cancer survivors, and cross-validated in another data set of breast cancer survivors with 18 months follow-up.SETTING: We tested the questionnaire tool among breast cancer survivors in 2 cohorts, one nationwide and one of consecutively treated patients at Rigshospitalet, Copenhagen, Denmark.METHODS: Items were assessed for criterion-related construct validity using the Rasch model, and for convergent validity by comparison to another neuropathic pain screening tool, the self-report version of the Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) pain scale.RESULTS: The selected 5-item model showed good fit, unidimensionality, monotonicity, and homogeneity. This result was reproducible in the cross-validation population. In a combined dataset with data from both studies, the model displayed a slightly lower fit, suggesting that items to some degree may vary over time. The Spearman rank correlation between the NeuPPS and S-LANSS was P = 0.57.LIMITATIONS: We observed differential item functioning between the primary study population and the cross-validation population, meaning that some items behave differently at different follow-up times or study populations.CONCLUSIONS: With the NeuPPS, we have validated a simple and easy-to-fill-out questionnaire tool for the measurement of neuropathic pain among postsurgical patients. The items are additive, giving a total score that measures neuropathic pain symptoms.KEY WORDS: Scale validation, Rasch analysis, item response model, persistent postoperative pain, intercostobrachial nerve, neuropathy, neuropathic pain, quantitative sensory testing, breast cancer.

AB - BACKGROUND: Despite the existence of several screening tools for neuropathic pain, none of these are specific to surgery. We have developed a simple questionnaire tool, the Neuropathic Pain scale for Postsurgical patients (NeuPPS), to measure neuropathic pain in postsurgical patients.OBJECTIVES: The aim was to validate this tool in a breast cancer population using an item response theory model, resulting in an easy-to-use scale.STUDY DESIGN: Development was based on literature reviews and interviews with patients and experts and consisted of 6 items. It was tested among 2,217 long-term breast cancer survivors, and cross-validated in another data set of breast cancer survivors with 18 months follow-up.SETTING: We tested the questionnaire tool among breast cancer survivors in 2 cohorts, one nationwide and one of consecutively treated patients at Rigshospitalet, Copenhagen, Denmark.METHODS: Items were assessed for criterion-related construct validity using the Rasch model, and for convergent validity by comparison to another neuropathic pain screening tool, the self-report version of the Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) pain scale.RESULTS: The selected 5-item model showed good fit, unidimensionality, monotonicity, and homogeneity. This result was reproducible in the cross-validation population. In a combined dataset with data from both studies, the model displayed a slightly lower fit, suggesting that items to some degree may vary over time. The Spearman rank correlation between the NeuPPS and S-LANSS was P = 0.57.LIMITATIONS: We observed differential item functioning between the primary study population and the cross-validation population, meaning that some items behave differently at different follow-up times or study populations.CONCLUSIONS: With the NeuPPS, we have validated a simple and easy-to-fill-out questionnaire tool for the measurement of neuropathic pain among postsurgical patients. The items are additive, giving a total score that measures neuropathic pain symptoms.KEY WORDS: Scale validation, Rasch analysis, item response model, persistent postoperative pain, intercostobrachial nerve, neuropathy, neuropathic pain, quantitative sensory testing, breast cancer.

KW - Adult

KW - Aged

KW - Breast Neoplasms/surgery

KW - Denmark

KW - Female

KW - Humans

KW - Male

KW - Middle Aged

KW - Neuralgia/diagnosis

KW - Pain Measurement/methods

KW - Pain, Postoperative/diagnosis

KW - Reproducibility of Results

KW - Self Report

KW - Surveys and Questionnaires

M3 - Journal article

VL - 22

SP - E81-E90

JO - Pain Physician

JF - Pain Physician

SN - 1533-3159

IS - 2

ER -

ID: 58124858