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Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting

Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting
Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting

INTRODUCTION: Many people worldwide suffer from chronic pain. Improving our knowledge on chronic pain prevalence and management requires methods to collect pain self-reports in large populations. Smartphone-based tools could aid data collection by allowing people to use their own device, but the measurement properties of such tools are largely unknown.

OBJECTIVES: To assess the reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.

METHODS: We recruited people with fibromyalgia, rheumatoid arthritis, and/or osteoarthritis and access to a smartphone and the internet. Data collection included the Global Pain Scale at baseline and follow-up, and 30 daily pain drawings completed on a 2-dimensional, gender-neutral manikin. After deriving participants' pain extent from their manikin drawings, we evaluated convergent and discriminative validity, test-retest reliability, and responsiveness and assessed findings against internationally agreed criteria for good measurement properties.

RESULTS: We recruited 131 people; 104 were included in the full sample, submitting 2185 unique pain drawings. Manikin-derived pain extent had excellent test-retest reliability (intraclass correlation coefficient, 0.94), moderate convergent validity (ρ, 0.46), and an ability to distinguish fibromyalgia and osteoarthritis from rheumatoid arthritis (F statistics, 30.41 and 14.36, respectively; P < 0.001). Responsiveness was poor (ρ, 0.2; P, 0.06) and did not meet the respective criterion for good measurement properties.

CONCLUSION: Our findings suggest that smartphone-based manikins can be a reliable and valid method for pain self-reporting, but that further research is warranted to explore, enhance, and confirm the ability of such manikins to detect a change in pain over time.

Manikins, Pain measurement, Patient-generated health data, Smartphone, Validation study
2471-2531
E1131
Van Der Veer, Sabine N.
34f20db8-f374-49cf-b1ed-b02b639a9f01
Ali, S. Mustafa
684b2fd7-0f78-40c7-9085-ff633aaa68e9
Yu, Ziqiao
31df4c8b-ff53-45d8-b7ef-dbf889f50c4d
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Chiarotto, Alessandro
ba9f8371-6ced-4c0f-8946-6aa1622d8bc0
James, Ben
5bba1a9f-0277-4814-8f20-d6e8e46d333f
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166
Van Der Veer, Sabine N.
34f20db8-f374-49cf-b1ed-b02b639a9f01
Ali, S. Mustafa
684b2fd7-0f78-40c7-9085-ff633aaa68e9
Yu, Ziqiao
31df4c8b-ff53-45d8-b7ef-dbf889f50c4d
McBeth, John
98012716-66ba-480b-9e43-ac53b51dce61
Chiarotto, Alessandro
ba9f8371-6ced-4c0f-8946-6aa1622d8bc0
James, Ben
5bba1a9f-0277-4814-8f20-d6e8e46d333f
Dixon, William G.
8fcb2256-4094-4f58-9777-4248ad245166

Van Der Veer, Sabine N., Ali, S. Mustafa, Yu, Ziqiao, McBeth, John, Chiarotto, Alessandro, James, Ben and Dixon, William G. (2024) Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting. Pain Reports, 9 (2), E1131. (doi:10.1097/PR9.0000000000001131).

Record type: Article

Abstract

INTRODUCTION: Many people worldwide suffer from chronic pain. Improving our knowledge on chronic pain prevalence and management requires methods to collect pain self-reports in large populations. Smartphone-based tools could aid data collection by allowing people to use their own device, but the measurement properties of such tools are largely unknown.

OBJECTIVES: To assess the reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.

METHODS: We recruited people with fibromyalgia, rheumatoid arthritis, and/or osteoarthritis and access to a smartphone and the internet. Data collection included the Global Pain Scale at baseline and follow-up, and 30 daily pain drawings completed on a 2-dimensional, gender-neutral manikin. After deriving participants' pain extent from their manikin drawings, we evaluated convergent and discriminative validity, test-retest reliability, and responsiveness and assessed findings against internationally agreed criteria for good measurement properties.

RESULTS: We recruited 131 people; 104 were included in the full sample, submitting 2185 unique pain drawings. Manikin-derived pain extent had excellent test-retest reliability (intraclass correlation coefficient, 0.94), moderate convergent validity (ρ, 0.46), and an ability to distinguish fibromyalgia and osteoarthritis from rheumatoid arthritis (F statistics, 30.41 and 14.36, respectively; P < 0.001). Responsiveness was poor (ρ, 0.2; P, 0.06) and did not meet the respective criterion for good measurement properties.

CONCLUSION: Our findings suggest that smartphone-based manikins can be a reliable and valid method for pain self-reporting, but that further research is warranted to explore, enhance, and confirm the ability of such manikins to detect a change in pain over time.

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More information

Published date: 16 April 2024
Additional Information: Publisher Copyright: © 2024 Lippincott Williams and Wilkins. All rights reserved. Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.
Keywords: Manikins, Pain measurement, Patient-generated health data, Smartphone, Validation study

Identifiers

Local EPrints ID: 491681
URI: http://eprints.soton.ac.uk/id/eprint/491681
ISSN: 2471-2531
PURE UUID: 08b13d73-be0e-4220-b199-0a3fa6f87f09
ORCID for John McBeth: ORCID iD orcid.org/0000-0001-7047-2183

Catalogue record

Date deposited: 03 Jul 2024 15:45
Last modified: 11 Jul 2024 02:18

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Contributors

Author: Sabine N. Van Der Veer
Author: S. Mustafa Ali
Author: Ziqiao Yu
Author: John McBeth ORCID iD
Author: Alessandro Chiarotto
Author: Ben James
Author: William G. Dixon

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