Sabine N van der Veer, S Mustafa Ali, Ziqiao Yu, John McBeth, Alessandro Chiarotto, Ben James, William G Dixon
{"title":"基于智能手机的人体模型支持疼痛自我报告的可靠性、有效性和响应性。","authors":"Sabine N van der Veer, S Mustafa Ali, Ziqiao Yu, John McBeth, Alessandro Chiarotto, Ben James, William G Dixon","doi":"10.1097/PR9.0000000000001131","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Objectives: </strong>To assess the reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; <i>P</i> < 0.001). Responsiveness was poor (ρ, 0.2; <i>P</i>, 0.06) and did not meet the respective criterion for good measurement properties.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":52189,"journal":{"name":"Pain Reports","volume":"9 2","pages":"e1131"},"PeriodicalIF":3.4000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10876220/pdf/","citationCount":"0","resultStr":"{\"title\":\"Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.\",\"authors\":\"Sabine N van der Veer, S Mustafa Ali, Ziqiao Yu, John McBeth, Alessandro Chiarotto, Ben James, William G Dixon\",\"doi\":\"10.1097/PR9.0000000000001131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Objectives: </strong>To assess the reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; <i>P</i> < 0.001). Responsiveness was poor (ρ, 0.2; <i>P</i>, 0.06) and did not meet the respective criterion for good measurement properties.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":52189,\"journal\":{\"name\":\"Pain Reports\",\"volume\":\"9 2\",\"pages\":\"e1131\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10876220/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pain Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/PR9.0000000000001131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pain Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/PR9.0000000000001131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
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.