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有疼痛经历的成年人数字疼痛人体模型数据的综述与分析:范围综述

Summary and Analysis of Digital Pain Manikin Data in Adults With Pain Experience: Scoping Review.

作者信息

Murphy Darcy Alex, Ali Syed Mustafa, Boudreau Shellie Ann, Dixon William, Wong David, van der Veer Sabine N

机构信息

Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.

Content Avenue, Aalborg, Denmark.

出版信息

J Med Internet Res. 2025 Aug 22;27:e69360. doi: 10.2196/69360.

Abstract

BACKGROUND

A digital pain manikin is a measurement tool that presents a diagram of the human body where people mark the location of their pain to produce a pain drawing. Digital pain manikins facilitate collection of more detailed spatial pain data compared to questionnaire-based methods and are an increasingly common method for self-reporting and communicating pain. An overview of how digital pain drawings, collected through digital pain manikins, are analyzed and summarized is currently missing.

OBJECTIVE

This study aimed to map the ways in which digital pain drawings were summarized and analyzed and which pain constructs these summaries attempted to measure. The objectives were to (1) identify and characterize studies that used digital pain manikins for data collection, (2) identify which individual drawing-level summary measures they reported and the methods by which these summaries were calculated, and (3) identify if and how multidrawing (eg, time series) summary and analysis methods were applied.

METHODS

We conducted a scoping review to systematically identify studies that used digital pain manikins for data collection and reported summary measures or analysis of the resulting digital pain drawings. We searched multiple databases using search terms related to pain and manikin. Two authors independently performed title, abstract, and full-text screening. We extracted and synthesized data on how studies summarized and analyzed digital manikin pain data at the individual pain-drawing level as well as across multiple pain drawings.

RESULTS

Our search yielded 6189 studies, of which we included 92. The majority were clinical studies (n=51) and cross-sectional (n=64). Eighty-seven studies reported at least 1 individual drawing-level summary measure. We identified individual drawing-level manikin summary measures related to 10 distinct pain constructs, with the most common being pain extent (n=53), physical location (n=28), and widespreadness (n=21), with substantial methodological variation within constructs. Forty-two studies reported at least 1 multidrawing summary method. Heat maps were most common (n=35), followed by the number or proportion of participants reporting pain in a specific location (n=14). Sixteen studies reported multidrawing analysis methods, the most common being an assessment of the similarity between pairs of pain drawings representing the same individual at the same moment in time (n=6).

CONCLUSIONS

We found a substantial number of studies that reported manikin summary and analysis methods, with the majority being cross-sectional clinical studies. Studies commonly reported pain extent at the individual-drawing level and used heat maps to summarize data across multiple drawings. Analysis methods that went beyond summarizing pain drawings were much rarer, and methodological variation within pain constructs meant a lack of comparability between studies and across manikins. This highlights a need for development of standardized methods that are applicable across manikins and more advanced methods that harness the spatial nature of pain drawings.

摘要

背景

数字疼痛人体模型是一种测量工具,它展示人体图表,人们在上面标记疼痛位置以生成疼痛图。与基于问卷的方法相比,数字疼痛人体模型有助于收集更详细的空间疼痛数据,并且是自我报告和交流疼痛日益常用的方法。目前缺少对通过数字疼痛人体模型收集的数字疼痛图如何进行分析和总结的概述。

目的

本研究旨在梳理数字疼痛图的总结和分析方式,以及这些总结试图测量哪些疼痛构念。目标是:(1)识别和描述使用数字疼痛人体模型进行数据收集的研究;(2)确定他们报告的单个绘图水平的总结测量方法以及计算这些总结的方法;(3)确定是否以及如何应用多图(如时间序列)总结和分析方法。

方法

我们进行了一项范围综述,以系统地识别使用数字疼痛人体模型进行数据收集并报告了总结测量或对所得数字疼痛图进行分析的研究。我们使用与疼痛和人体模型相关的搜索词在多个数据库中进行搜索。两位作者独立进行标题、摘要和全文筛选。我们提取并综合了关于研究如何在单个疼痛绘图水平以及跨多个疼痛绘图总结和分析数字人体模型疼痛数据的数据。

结果

我们的搜索产生了6189项研究,其中92项被纳入。大多数是临床研究(n = 51)和横断面研究(n = 64)。87项研究报告了至少1种单个绘图水平的总结测量方法。我们确定了与10个不同疼痛构念相关的单个绘图水平人体模型总结测量方法,最常见的是疼痛范围(n = 53)、物理位置(n = 28)和广泛性(n = 21),各构念内方法存在很大差异。42项研究报告了至少1种多图总结方法。热图最常见(n = 35),其次是报告特定位置疼痛的参与者数量或比例(n = 14)。16项研究报告了多图分析方法,最常见的是评估代表同一人的同一时刻的成对疼痛图之间的相似性(n = 6)。

结论

我们发现大量研究报告了人体模型总结和分析方法,大多数是横断面临床研究。研究通常在单个绘图水平报告疼痛范围,并使用热图总结多个绘图的数据。超越总结疼痛图的分析方法要少见得多,并且疼痛构念内的方法差异意味着研究之间以及不同人体模型之间缺乏可比性。这凸显了开发适用于各种人体模型的标准化方法以及利用疼痛图空间性质的更先进方法的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad5/12413573/ddde846a7471/jmir_v27i1e69360_fig1.jpg

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