Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: Results from a prospective cohort study.

IF 1.5 Q3 RHEUMATOLOGY

Musculoskeletal Care Pub Date : 2023-12-01 Epub Date: 2023-05-07 DOI:10.1002/msc.1776

Noam Nativ, Tamar Pincus, Jonathan Hill, Noa Ben Ami

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引用次数: 1

Abstract

Background: The STarT MSK screening tool aims to categorise musculoskeletal patients into three risk groups for treatment stratification. The tool has been translated and validated into Hebrew. However, its ability to predict persistent disability in patients has yet to be evaluated.

Objective: The primary aim of this study was to assess the ability of the Hebrew version of the STarT MSK tool to predict persistent disability in patients experiencing musculoskeletal pain.

Methods: A prospective observational cohort study was conducted, recruiting 135 patients with musculoskeletal pain in five common areas: back, neck, shoulder, knee, or multisite pain over the age of 21. At the first consultation, all patients completed demographic information, the Focus On Therapeutic Outcomes (FOTO) questionnaire (function, pain, and fear avoidance score), and the STarT MSK questionnaire. The patients completed the FOTO questionnaire again at the end of the physiotherapy treatments.

Results: 25 patients (18.5%) were classified into the low-risk group, 68 patients (50.3%) into the medium-risk group, and 42 (31.1%) into the high-risk group. The baseline STarT MSK tool score demonstrated an excellent ability to identify patients at high risk of developing persistent disability (AUC = 0.795, 95% CI 0.716-0.873).

Conclusions: The Hebrew version of the STarT MSK tool can differentiate between three chronic risk groups and has high predictive validity for chronicity. This may provide a tool to assist clinicians in identifying patients who require more intensive care, and thus, potentially prevent the transition to chronic disabling pain.

查看原文本刊更多论文

用 STarT MSK 筛查工具预测肌肉骨骼疼痛患者的持续残疾情况：一项前瞻性队列研究的结果。

背景：STarT MSK 筛查工具旨在将肌肉骨骼疾病患者分为三个风险组，以便进行治疗分层。该工具已被翻译成希伯来语并通过验证。然而，该工具预测患者持续性残疾的能力还有待评估：本研究的主要目的是评估希伯来语版 STarT MSK 工具预测肌肉骨骼疼痛患者持续性残疾的能力：方法：我们开展了一项前瞻性观察性队列研究，招募了 135 名 21 岁以上患有肌肉骨骼疼痛的患者，疼痛部位包括背部、颈部、肩部、膝部或多处疼痛等五个常见部位。在首次就诊时，所有患者都填写了人口统计学信息、Focus On Therapeutic Outcomes (FOTO) 问卷（功能、疼痛和避免恐惧评分）和 STarT MSK 问卷。结果：25 名患者（18.5%）被归为低风险组，68 名患者（50.3%）被归为中风险组，42 名患者（31.1%）被归为高风险组。STarT MSK 工具的基线评分显示出了很好的识别能力，可以识别出有可能发展为持续性残疾的高风险患者（AUC = 0.795，95% CI 0.716-0.873）：结论：希伯来语版 STarT MSK 工具可区分三个慢性风险组别，对慢性病具有很高的预测效力。该工具可帮助临床医生识别需要加强护理的患者，从而防止患者转为慢性致残性疼痛。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Musculoskeletal Care RHEUMATOLOGY-

CiteScore

2.30

自引率

7.70%

发文量

期刊介绍： Musculoskeletal Care is a peer-reviewed journal for all health professionals committed to the clinical delivery of high quality care for people with musculoskeletal conditions and providing knowledge to support decision making by professionals, patients and policy makers. This journal publishes papers on original research, applied research, review articles and clinical guidelines. Regular topics include patient education, psychological and social impact, patient experiences of health care, clinical up dates and the effectiveness of therapy.