Development and validation of the Collaborative Health Outcomes Information Registry body map
Abstract. Introduction:. Critical for the diagnosis and treatment of chronic pain is the anatomical distribution of pain. Several body maps allow patients to indicate pain areas on paper; however, each has its limitations. Objectives:. To provide a comprehensive body map that can be universally appl...
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2021-01-01
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doaj-760f6366131e44a38bccb84ff8518f3b2021-04-26T06:10:07ZengWolters KluwerPAIN Reports2471-25312021-01-0161e88010.1097/PR9.0000000000000880202101000-00006Development and validation of the Collaborative Health Outcomes Information Registry body mapKristen Hymel Scherrer0Maisa S. Ziadni1Jiang-Ti Kong2John A. Sturgeon3Vafi Salmasi4Juliette Hong5Eric Cramer6Abby L. Chen7Teresa Pacht8Garrick Olson9Beth D. Darnall10Ming-Chih Kao11Sean Mackey12a Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAc Department of Anesthesiology and Pain Medicine, University of Washington Medical School, Seattle, WA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAa Division of Pain Management, Stanford University School of Medicine, Palo Alto, CA, USAAbstract. Introduction:. Critical for the diagnosis and treatment of chronic pain is the anatomical distribution of pain. Several body maps allow patients to indicate pain areas on paper; however, each has its limitations. Objectives:. To provide a comprehensive body map that can be universally applied across pain conditions, we developed the electronic Collaborative Health Outcomes Information Registry (CHOIR) self-report body map by performing an environmental scan and assessing existing body maps. Methods:. After initial validation using a Delphi technique, we compared (1) pain location questionnaire responses of 530 participants with chronic pain with (2) their pain endorsements on the CHOIR body map (CBM) graphic. A subset of participants (n = 278) repeated the survey 1 week later to assess test–retest reliability. Finally, we interviewed a patient cohort from a tertiary pain management clinic (n = 28) to identify reasons for endorsement discordances. Results:. The intraclass correlation coefficient between the total number of body areas endorsed on the survey and those from the body map was 0.86 and improved to 0.93 at follow-up. The intraclass correlation coefficient of the 2 body map graphics separated by 1 week was 0.93. Further examination demonstrated high consistency between the questionnaire and CBM graphic (<10% discordance) in most body areas except for the back and shoulders (≈15–19% discordance). Participants attributed inconsistencies to misinterpretation of body regions and laterality, the latter of which was addressed by modifying the instructions. Conclusions:. Our data suggest that the CBM is a valid and reliable instrument for assessing the distribution of pain.http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000000880 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kristen Hymel Scherrer Maisa S. Ziadni Jiang-Ti Kong John A. Sturgeon Vafi Salmasi Juliette Hong Eric Cramer Abby L. Chen Teresa Pacht Garrick Olson Beth D. Darnall Ming-Chih Kao Sean Mackey |
spellingShingle |
Kristen Hymel Scherrer Maisa S. Ziadni Jiang-Ti Kong John A. Sturgeon Vafi Salmasi Juliette Hong Eric Cramer Abby L. Chen Teresa Pacht Garrick Olson Beth D. Darnall Ming-Chih Kao Sean Mackey Development and validation of the Collaborative Health Outcomes Information Registry body map PAIN Reports |
author_facet |
Kristen Hymel Scherrer Maisa S. Ziadni Jiang-Ti Kong John A. Sturgeon Vafi Salmasi Juliette Hong Eric Cramer Abby L. Chen Teresa Pacht Garrick Olson Beth D. Darnall Ming-Chih Kao Sean Mackey |
author_sort |
Kristen Hymel Scherrer |
title |
Development and validation of the Collaborative Health Outcomes Information Registry body map |
title_short |
Development and validation of the Collaborative Health Outcomes Information Registry body map |
title_full |
Development and validation of the Collaborative Health Outcomes Information Registry body map |
title_fullStr |
Development and validation of the Collaborative Health Outcomes Information Registry body map |
title_full_unstemmed |
Development and validation of the Collaborative Health Outcomes Information Registry body map |
title_sort |
development and validation of the collaborative health outcomes information registry body map |
publisher |
Wolters Kluwer |
series |
PAIN Reports |
issn |
2471-2531 |
publishDate |
2021-01-01 |
description |
Abstract. Introduction:. Critical for the diagnosis and treatment of chronic pain is the anatomical distribution of pain. Several body maps allow patients to indicate pain areas on paper; however, each has its limitations.
Objectives:. To provide a comprehensive body map that can be universally applied across pain conditions, we developed the electronic Collaborative Health Outcomes Information Registry (CHOIR) self-report body map by performing an environmental scan and assessing existing body maps.
Methods:. After initial validation using a Delphi technique, we compared (1) pain location questionnaire responses of 530 participants with chronic pain with (2) their pain endorsements on the CHOIR body map (CBM) graphic. A subset of participants (n = 278) repeated the survey 1 week later to assess test–retest reliability. Finally, we interviewed a patient cohort from a tertiary pain management clinic (n = 28) to identify reasons for endorsement discordances.
Results:. The intraclass correlation coefficient between the total number of body areas endorsed on the survey and those from the body map was 0.86 and improved to 0.93 at follow-up. The intraclass correlation coefficient of the 2 body map graphics separated by 1 week was 0.93. Further examination demonstrated high consistency between the questionnaire and CBM graphic (<10% discordance) in most body areas except for the back and shoulders (≈15–19% discordance). Participants attributed inconsistencies to misinterpretation of body regions and laterality, the latter of which was addressed by modifying the instructions.
Conclusions:. Our data suggest that the CBM is a valid and reliable instrument for assessing the distribution of pain. |
url |
http://journals.lww.com/painrpts/fulltext/10.1097/PR9.0000000000000880 |
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