Ali Syed Mustafa, Elsayed Salma, Lee Rebecca R, Firth Jill, McCarthy David, Dixon William G, van der Veer Sabine N
Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
National Institute for Health and Care Research (NIHR) Applied Research Collaboration - Greater Manchester (ARC-GM), UK.
Br J Pain. 2025 May 16:20494637251343227. doi: 10.1177/20494637251343227.
Digital pain drawings are an emerging method for pain assessment, but it is still unclear how these could best support pain treatment and management decisions. Therefore, this study explored the potential clinical utility of digital pain drawings.
We conducted a narrative study, involving qualitative interviews with healthcare professionals providing pain management services to people living with musculoskeletal pain conditions working across different disciplines and care levels in the healthcare system of the United Kingdom. We transcribed interviews, conducted thematic content analysis to identify themes and presented results using a framework approach.
We interviewed three general practitioners, five rheumatology healthcare professionals, four physiotherapists, two pain consultants and one rheumatology nurse. We identified four themes describing current pain assessment practices, potential advantages of digital pain drawings either alone or in combination with other pain information (e.g. perceived pain triggers and relieving factors) and outcome measures (e.g. quality of sleep, function and anxiety). Digital pain drawings provide an opportunity of enriching patient-provider communication, particularly for people with language barriers. Digital pain drawings may also support healthcare professionals across different disciplines and care levels (e.g. primary and secondary care) in decisions related to referrals, differential diagnosis, treatment planning, evaluating response to treatment and scheduling follow-up visits when combining pain drawings with other pain information, such as pain consequences and perceived causes.
Digital pain drawings are clinically useful because of their potential to guide diagnosis, treatment and management choices in managing musculoskeletal chronic pain. Future research should investigate how these potential benefits are achieved by integrating digital pain drawings in clinical practice across different disciplines and care levels in the UK's healthcare system and beyond.
数字疼痛图是一种新兴的疼痛评估方法,但目前仍不清楚其如何能最好地支持疼痛治疗和管理决策。因此,本研究探讨了数字疼痛图的潜在临床应用价值。
我们开展了一项叙述性研究,对英国医疗系统中不同学科和护理级别、为患有肌肉骨骼疼痛疾病的患者提供疼痛管理服务的医疗保健专业人员进行了定性访谈。我们对访谈内容进行了转录,进行了主题内容分析以确定主题,并采用框架法呈现结果。
我们采访了三名全科医生、五名风湿病医疗保健专业人员、四名物理治疗师、两名疼痛顾问和一名风湿病护士。我们确定了四个主题,分别描述了当前的疼痛评估实践、数字疼痛图单独或与其他疼痛信息(如感知到的疼痛触发因素和缓解因素)及结果指标(如睡眠质量、功能和焦虑)相结合的潜在优势。数字疼痛图为丰富医患沟通提供了契机,尤其是对于有语言障碍的患者。当将疼痛图与其他疼痛信息(如疼痛后果和感知到的病因)相结合时,数字疼痛图还可能在转诊、鉴别诊断、治疗规划、评估治疗反应以及安排随访等决策方面为不同学科和护理级别(如初级和二级护理)的医疗保健专业人员提供支持。
数字疼痛图具有临床应用价值,因为其有潜力在管理肌肉骨骼慢性疼痛方面指导诊断、治疗和管理选择。未来的研究应调查如何通过将数字疼痛图整合到英国医疗系统及其他地区不同学科和护理级别临床实践中来实现这些潜在益处。