Capturing patient-reported area of knee pain: a concurrent validity study using digital technology in patients with patellofemoral pain

Author:

Matthews Mark12ORCID,Rathleff Michael S.345,Vicenzino Bill1,Boudreau Shellie A.5ORCID

Affiliation:

1. School of Health and Rehabilitation Sciences, Sports Injuries Rehabilitation and Prevention for Health Research Unit, University of Queensland, Brisbane, QLD, Australia

2. Sports and Exercise Science Research Institute, School of Sport, Faculty of Life and Health Sciences, University of Ulster, Belfast, UK

3. Research Unit for General Practice in Aalborg, Aalborg, Denmark

4. Department of Occupational Therapy and Physiotherapy, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark

5. Center for Neuroplasticity and Pain, Centre for Sensory Motor Interaction, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark

Abstract

Background Patellofemoral pain (PFP) is often reported as a diffuse pain at the front of the knee during knee-loading activities. A patient’s description of pain location and distribution is commonly drawn on paper by clinicians, which is difficult to quantify, report and compare within and between patients. One way of overcoming these potential limitations is to have the patient draw their pain regions using digital platforms, such as personal computer tablets. Objective To assess the validity of using computer tablets to acquire a patient’s knee pain drawings as compared to paper-based records in patients with PFP. Methods Patients (N = 35) completed knee pain drawings on identical images (size and colour) of the knee as displayed on paper and a computer tablet. Pain area expressed as pixel density, was calculated as a percentage of the total drawable area for paper and digital records. Bland–Altman plots, intraclass correlation coefficient (ICC), Pearson’s correlation coefficients and one-sample tests were used in data analysis. Results No significant difference in pain area was found between the paper and digital records of mapping pain area (p = 0.98), with the mean difference = 0.002% (95% CI [−0.159–0.157%]). A very high agreement in pain area between paper and digital pain drawings (ICC = 0.966 (95% CI [0.93–0.98], F = 28.834, df = 31, p < 0.001). A strong linear correlation (R2 = 0.870) was found for pain area and the limits of agreement show less than ±1% difference between paper and digital drawings. Conclusion Pain drawings as acquired using paper and computer tablet are equivalent in terms of total area of reported knee pain. The advantages of digital recording platforms, such as quantification and reporting of pain area, could be realized in both research and clinical settings.

Funder

University of Queensland Graduate School International Travel Award (GSITA), Australian Postgraduate Award Scholarship and the NHMRC Program

Spar Nord Fonden

Center for Neuroplasticity and Pain

National Research Foundation

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference21 articles.

1. Validity of pain drawings for predicting psychological status outcome in patients with recurrent or chronic low back pain;Abbott;Journal of Manual & Manipulative Therapy,2015

2. Pain mapping for common shoulder disorders;Bayam;American Journal of Orthopaedics,2011

3. Testing shoulder pain mapping;Bayam;Pain Medicine,2017

4. Digital pain drawings: assessing touch-screen technology and 3D body schemas;Boudreau;Clinical Journal of Pain,2016

5. Distribution and symmetrical patellofemoral pain patterns as revealed by high-resolution 3D body mapping: a cross-sectional study;Boudreau;BMC Musculoskeletal Disorders,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3