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美国门诊物理治疗环境中肌肉骨骼疼痛患者的 Keele STarT MSK 工具的验证。

Validation of the Keele STarT MSK Tool for Patients With Musculoskeletal Pain in United States-based Outpatient Physical Therapy Settings.

机构信息

Department of Physical Therapy, College of Public Health & Health Professions, University of Florida, Gainesville, Florida; Clinical Research Center, Brooks Rehabilitation, Jacksonville, Florida.

Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California.

出版信息

J Pain. 2024 Jul;25(7):104475. doi: 10.1016/j.jpain.2024.01.340. Epub 2024 Jan 17.

Abstract

The STarT MSK tool was developed to enable risk stratification of patients with common musculoskeletal (MSK) pain conditions and help identify individuals who may require more targeted interventions or closer monitoring in primary care settings, however, its validity in U.S.-based outpatient physical therapy settings has not been investigated. The 10-item Keele STarT MSK risk stratification tool was tested for construct (convergent and discriminant) and predictive validity using a multicenter, prospective cohort study design. Participants (n = 141) receiving physical therapy for MSK pain of the back, neck, shoulder, hip, knee, or multisite regions completed intake questionnaires including the Keele STarT MSK tool, Functional Comorbidity Index (FCI), Optimal Screening for Prediction of Referral and Outcome Review-of-Systems and Optimal Screening for Prediction of Referral and Outcome Yellow Flag tools. Pain intensity, pain interference, and health-related quality of life (Medical Outcomes Study 8-item Short-Form Health Survey (SF-8) physical [PCS] and mental [MCS] component summary scores) were measured at 2- and 6-month follow-up. Participants were classified as STarT MSK tool low (44%), medium (39%), and high (17%) risk. Follow-up rates were 70.2% (2 months) and 49.6% (6 months). For convergent validity, fair relationships were observed between the STarT MSK tool and FCI and SF-8 MCS (r = .35-.37) while moderate-to-good relationships (r = .51-.72) were observed for 7 other clinical measures. For discriminant validity, STarT MSK tool risk-dependent relationships were observed for Optimal Screening for Prediction of Referral and Outcome Review-of-Systems, Optimal Screening for Prediction of Referral and Outcome Yellow Flag, pain interference, and SF-8 PCS (low < medium < high; P < .01) and FCI, pain intensity, and SF-8 MCS (low < medium-or-high; P < .01). For predictive validity, intake STarT MSK tool scores explained additional variability in pain intensity (11.2%, 20.0%), pain interference (7.5%, 14.1%), and SF-8 PCS (8.2%, 12.8%) scores at 2 and 6 months, respectively. This study contributes to the existing literature by providing additional evidence of STarT MSK tool cross-sectional construct validity and longitudinal predictive validity. PERSPECTIVE: This study presents STarT MSK risk stratification tool validity findings from a U.S. outpatient physical therapy sample. The STarT MSK tool has the potential to help physical therapists identify individuals presenting with the most common MSK pain conditions who may require more targeted interventions or closer monitoring.

摘要

STarT MSK 工具的开发目的是对常见肌肉骨骼(MSK)疼痛病症患者进行风险分层,并帮助确定在初级保健环境中可能需要更有针对性的干预或更密切监测的个体,然而,其在美国基于门诊的物理治疗环境中的有效性尚未得到研究。使用多中心前瞻性队列研究设计,对 10 项基尔 STarT MSK 风险分层工具进行了结构(收敛和判别)和预测有效性测试。接受 MSK 背部、颈部、肩部、臀部、膝盖或多部位疼痛物理治疗的参与者(n=141)完成了包括基尔 STarT MSK 工具、功能共病指数(FCI)、最佳筛选预测转诊和结果审查系统和最佳筛选预测转诊和结果黄色标志工具在内的摄入问卷。在 2 个月和 6 个月的随访时,测量疼痛强度、疼痛干扰和健康相关生活质量(医疗结果研究 8 项简短形式健康调查(SF-8)身体[PCS]和心理[MCS]成分综合评分)。参与者被分为 STarT MSK 工具低(44%)、中(39%)和高(17%)风险。随访率为 70.2%(2 个月)和 49.6%(6 个月)。对于收敛有效性,STarT MSK 工具与 FCI 和 SF-8 MCS 之间观察到公平关系(r=0.35-0.37),而对于其他 7 个临床指标,观察到中等至良好关系(r=0.51-0.72)。对于判别有效性,STarT MSK 工具风险相关关系观察到最佳筛选预测转诊和结果审查系统、最佳筛选预测转诊和结果黄色标志、疼痛干扰和 SF-8 PCS(低<中<高;P<0.01)和 FCI、疼痛强度和 SF-8 MCS(低<中或高;P<0.01)。对于预测有效性,摄入 STarT MSK 工具评分在 2 个月和 6 个月时分别解释了疼痛强度(11.2%,20.0%)、疼痛干扰(7.5%,14.1%)和 SF-8 PCS(8.2%,12.8%)评分的额外变异性。本研究通过提供 STarT MSK 工具横断面结构有效性和纵向预测有效性的额外证据,为现有文献做出了贡献。观点:本研究介绍了来自美国门诊物理治疗样本的 STarT MSK 风险分层工具有效性研究结果。STarT MSK 工具有可能帮助物理治疗师识别出现最常见 MSK 疼痛病症的患者,这些患者可能需要更有针对性的干预或更密切的监测。

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