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Screening for Behavioral Risks: A Precision Healthcare Driven Approach for Chronic Pain Evaluation in Pediatric Specialty Care

机译:筛选行为风险:儿科专业治疗中慢性疼痛评价的精确保健驱动方法

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We previously described an informatics tool (PROBE) to automate screening/or behavioral risks for pain in children and adolescents. PROBE was deployed for a one year pilot study in our pediatric specialty care practice. Here we describe evaluation of this tool to assess self-report of pain, chronic disease activity and behavioral risks in 109 patients who sought routine care in the busy outpatient pediatric rheumatology practice of our large healthcare system. Results show that patients who self-report poorer self-efficacy and coping skills and night-time awakenings have significantly higher odds (8 and 5 times higher respectively) of reporting chronic pain even after accounting for their chronic disease activity. Our results show that automating screening in specialty care waiting rooms can not only inform the clinicians of patient's unknown risks but may even help drive the judicious use of precision healthcare resources such as cognitive behavioral therapy.
机译:我们之前描述了一个信息学工具(探针),以自动筛选/或行为风险用于儿童和青少年的疼痛。在我们的儿科专业护理实践中部署了一年的试验研究。在这里,我们描述了对该工具的评估,以评估109名患者在大型医疗系统繁忙的门诊小儿风湿病学实践中寻求常规护理的109名患者的自我报告。结果表明,即使在核算慢性疾病活动后,自我报告自我效力和应对技能和夜间觉得和夜间觉醒的患者也显着提高了慢性疼痛的巨大赔率(分别为8%和5倍)。我们的研究结果表明,专业护理等候室中的自动筛选不仅可以通知患者未知风险的临床医生,但甚至可能有助于推动诸如认知行为治疗等精密医疗资源的明智使用。

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