Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting
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,...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer
2024-04-01
|
| Series: | PAIN Reports |
| Online Access: | http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001131 |
| _version_ | 1797292786968428544 |
|---|---|
| author | Sabine N. van der Veer S. Mustafa Ali Ziqiao Yu John McBeth Alessandro Chiarotto Ben James William G. Dixon |
| author_facet | Sabine N. van der Veer S. Mustafa Ali Ziqiao Yu John McBeth Alessandro Chiarotto Ben James William G. Dixon |
| author_sort | Sabine N. van der Veer |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T20:01:40Z |
| format | Article |
| id | doaj.art-f3e3ca310ee04b02bb4c8151e5e23ffe |
| institution | Directory Open Access Journal |
| issn | 2471-2531 |
| language | English |
| last_indexed | 2024-03-07T20:01:40Z |
| publishDate | 2024-04-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | PAIN Reports |
| spelling | doaj.art-f3e3ca310ee04b02bb4c8151e5e23ffe2024-02-28T06:49:25ZengWolters KluwerPAIN Reports2471-25312024-04-0192e113110.1097/PR9.0000000000001131PR90000000000001131Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reportingSabine N. van der Veer0S. Mustafa Ali1Ziqiao Yu2John McBeth3Alessandro Chiarotto4Ben James5William G. Dixon6a Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdoma Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdoma Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdomb Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdomc Department of General Practice, Erasmus MC, University Medical Center, Rotterdam, the Netherlandsd uMotif, London, United Kingdomb Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United KingdomAbstract. 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.http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001131 |
| spellingShingle | Sabine N. van der Veer S. Mustafa Ali Ziqiao Yu John McBeth Alessandro Chiarotto Ben James William G. Dixon Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting PAIN Reports |
| title | Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting |
| title_full | Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting |
| title_fullStr | Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting |
| title_full_unstemmed | Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting |
| title_short | Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting |
| title_sort | reliability validity and responsiveness of a smartphone based manikin to support pain self reporting |
| url | http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000001131 |
| work_keys_str_mv | AT sabinenvanderveer reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT smustafaali reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT ziqiaoyu reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT johnmcbeth reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT alessandrochiarotto reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT benjames reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting AT williamgdixon reliabilityvalidityandresponsivenessofasmartphonebasedmanikintosupportpainselfreporting |