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四种常用于手和腕部病症治疗组合的患者报告结局测量指标的最小有意义变化是多少?

What Are the Minimally Important Changes of Four Commonly Used Patient-reported Outcome Measures for 36 Hand and Wrist Condition-Treatment Combinations?

机构信息

Department of Plastic, Reconstructive, and Hand Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands.

Department of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.

出版信息

Clin Orthop Relat Res. 2022 Jun 1;480(6):1152-1166. doi: 10.1097/CORR.0000000000002094. Epub 2021 Dec 27.

DOI:10.1097/CORR.0000000000002094
PMID:34962496
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9263468/
Abstract

BACKGROUND

Patient-reported outcome measures (PROMs) are frequently used to assess treatment outcomes for hand and wrist conditions. To adequately interpret these outcomes, it is important to determine whether a statistically significant change is also clinically relevant. For this purpose, the minimally important change (MIC) was developed, representing the minimal within-person change in outcome that patients perceive as a beneficial treatment effect. Prior studies demonstrated substantial differences in MICs between condition-treatment combinations, suggesting that MICs are context-specific and cannot be reliably generalized. Hence, a study providing MICs for a wide diversity of condition-treatment combinations for hand and wrist conditions will contribute to more accurate treatment evaluations.

QUESTIONS/PURPOSES: (1) What are the MICs of the most frequently used PROMs for common condition-treatment combinations of hand and wrist conditions? (2) Do MICs vary based on the invasiveness of the treatment (nonsurgical treatment or surgical treatment)?

METHODS

This study is based on data from a longitudinally maintained database of patients with hand and wrist conditions treated in one of 26 outpatient clinics in the Netherlands between November 2013 and November 2020. Patients were invited to complete several validated PROMs before treatment and at final follow-up. All patients were invited to complete the VAS for pain and hand function. Depending on the condition, patients were also invited to complete the Michigan Hand outcomes Questionnaire (MHQ) (finger and thumb conditions), the Patient-rated Wrist/Hand Evaluation (PRWHE) (wrist conditions), or the Boston Carpal Tunnel Questionnaire (BCTQ) (nerve conditions). Additionally, patients completed the validated Satisfaction with Treatment Result Questionnaire at final follow-up. Final follow-up timepoints were 3 months for nonsurgical and minor surgical treatment (including trigger finger release) and 12 months for major surgical treatment (such as trapeziectomy). Our database included 55,651 patients, of whom we excluded 1528 who only required diagnostic management, 25,099 patients who did not complete the Satisfaction with Treatment Result Questionnaire, 3509 patients with missing data in the PROM of interest at baseline or follow-up, and 1766 patients who were part of condition-treatment combinations with less than 100 patients. The final sample represented 43% (23,749) of all patients and consisted of 36 condition-treatment combinations. In this final sample, 26% (6179) of patients were managed nonsurgically and 74% (17,570) were managed surgically. Patients had a mean ± SD age of 55 ± 14 years, and 66% (15,593) of patients were women. To estimate the MIC, we used two anchor-based methods (the anchor mean change and the MIC predict method), which were triangulated afterward to obtain a single MIC. Applying this method, we calculated the MIC for 36 condition-treatment combinations, comprising 22 different conditions, and calculated the MIC for combined nonsurgical and surgical treatment groups. To examine whether the MIC differs between nonsurgical and surgical treatments, we performed a Wilcoxon signed rank test to compare the MICs of all PROM scores between nonsurgical and surgical treatment.

RESULTS

We found a large variation in triangulated MICs between the condition-treatment combinations. For example, for nonsurgical treatment of hand OA, the MICs of VAS pain during load clustered around 10 (interquartile range 8 to 11), for wrist osteotomy/carpectomy it was around 25 (IQR 24 to 27), and for nerve decompression it was 21. Additionally, the MICs of the MHQ total score ranged from 4 (nonsurgical treatment of CMC1 OA) to 15 (trapeziectomy with LRTI and bone tunnel), for the PRWHE total score it ranged from 2 (nonsurgical treatment of STT OA) to 29 (release of first extensor compartment), and for the BCTQ Symptom Severity Scale it ranged from 0.44 (nonsurgical treatment of carpal tunnel syndrome) to 0.87 (carpal tunnel release). An overview of all MIC values is available in a freely available online application at: https://analyse.equipezorgbedrijven.nl/shiny/mic-per-treatment/. In the combined treatment groups, the triangulated MIC values were lower for nonsurgical treatment than for surgical treatment (p < 0.001). The MICs for nonsurgical treatment can be approximated to be one-ninth (IQR 0.08 to 0.13) of the scale (approximately 11 on a 100-point instrument), and surgical treatment had MICs that were approximately one-fifth (IQR 0.14 to 0.24) of the scale (approximately 19 on a 100-point instrument).

CONCLUSION

MICs vary between condition-treatment combinations and differ depending on the invasiveness of the intervention. Patients receiving a more invasive treatment have higher treatment expectations, may experience more discomfort from their treatment, or may feel that the investment of undergoing a more invasive treatment should yield greater improvement, leading to a different perception of what constitutes a beneficial treatment effect.

CLINICAL RELEVANCE

Our findings indicate that the MIC is context-specific and may be misleading if applied inappropriately. Implementation of these condition-specific and treatment-specific MICs in clinical research allows for a better study design and to achieve more accurate treatment evaluations. Consequently, this could aid clinicians in better informing patients about the expected treatment results and facilitate shared decision-making in clinical practice. Future studies may focus on adaptive techniques to achieve individualized MICs, which may ultimately aid clinicians in selecting the optimal treatment for individual patients.

摘要

背景

患者报告的结局测量(PROMs)常用于评估手部和腕部疾病的治疗结果。为了充分解释这些结果,重要的是要确定统计学上的显著变化是否也具有临床意义。为此,开发了最小有意义变化(MIC),代表患者认为治疗效果有益的结果的最小个体内变化。先前的研究表明,不同疾病-治疗组合的 MIC 存在显著差异,这表明 MIC 是特定于特定情况的,无法可靠地推广。因此,提供手部和腕部疾病广泛疾病-治疗组合的 MIC 将有助于更准确的治疗评估。

问题/目的:(1)最常用于手部和腕部疾病常见疾病-治疗组合的常用 PROM 的 MIC 是多少?(2)MIC 是否因治疗的侵袭性(非手术治疗或手术治疗)而异?

方法

本研究基于荷兰 26 家门诊诊所之一治疗的手部和腕部疾病患者的纵向维护数据库中的数据。在治疗前和最终随访时,所有患者均被邀请完成几项经过验证的 PROM。所有患者均被邀请完成视觉模拟评分(VAS)疼痛和手部功能。根据病情,患者还被邀请完成密歇根手部结局问卷(MHQ)(手指和拇指疾病)、患者评定的腕/手部评估(PRWHE)(腕部疾病)或波士顿腕管问卷(BCTQ)(神经疾病)。此外,患者在最终随访时还完成了经验证的治疗结果满意度问卷。非手术和小手术(包括扳机指松解术)的最终随访时间为 3 个月,大手术(如腕管松解术)的最终随访时间为 12 个月。我们的数据库包括 55651 名患者,其中排除了 1528 名仅需要诊断性治疗的患者、25099 名未完成治疗结果满意度问卷的患者、3509 名基线或随访时 PROM 中感兴趣的患者数据缺失的患者和 1766 名接受不到 100 名患者的疾病-治疗组合的患者。最终样本代表所有患者的 43%(23749 名),由 36 种疾病-治疗组合组成。在最终样本中,26%(6179 名)的患者接受非手术治疗,74%(17570 名)的患者接受手术治疗。患者的平均年龄±标准差为 55±14 岁,66%(15593 名)的患者为女性。为了估计 MIC,我们使用了两种基于锚定的方法(锚定平均变化和 MIC 预测方法),之后对这些方法进行了三角测量,以获得单个 MIC。使用这种方法,我们计算了 36 种疾病-治疗组合的 MIC,包括 22 种不同的疾病,并计算了非手术和手术治疗组的 MIC。为了检查 MIC 是否因非手术和手术治疗而异,我们使用 Wilcoxon 符号秩检验比较非手术和手术治疗组所有 PROM 评分的 MIC。

结果

我们发现,疾病-治疗组合之间的 MIC 存在很大的差异。例如,对于手部 OA 的非手术治疗,VAS 疼痛在负荷时的 MIC 约为 10(四分位距 8 至 11),对于腕骨切开术/腕骨切除术,它约为 25(四分位距 24 至 27),对于神经减压术,它约为 21。此外,MHQ 总分的 MIC 范围从 4(CMC1 OA 的非手术治疗)到 15(LRTI 和骨隧道的腕管松解术),PRWHE 总分的 MIC 范围从 2(STT OA 的非手术治疗)到 29(第一伸肌间隔释放),BCTQ 症状严重程度量表的 MIC 范围从 0.44(腕管综合征的非手术治疗)到 0.87(腕管松解术)。所有 MIC 值的概述可在一个免费的在线应用程序中获得:https://analyse.equipezorgbedrijven.nl/shiny/mic-per-treatment/。在联合治疗组中,非手术治疗的 MIC 值低于手术治疗(p<0.001)。非手术治疗的 MIC 可以近似为量表的九分之一(IQR 0.08 至 0.13),大约为 11(100 点量表),手术治疗的 MIC 大约为量表的五分之一(IQR 0.14 至 0.24),大约为 19(100 点量表)。

结论

MIC 在疾病-治疗组合之间存在差异,并且取决于干预措施的侵袭性。接受更侵袭性治疗的患者对治疗的期望更高,可能会因治疗而感到更多不适,或者可能会认为接受更侵袭性的治疗应该产生更大的改善,从而对构成有益治疗效果的因素有不同的看法。

临床相关性

我们的研究结果表明,MIC 是特定于情况的,如果不恰当地应用,可能会产生误导。在临床研究中实施这些特定于疾病和治疗的 MIC,可以更好地设计研究,并实现更准确的治疗评估。因此,这可以帮助临床医生更好地向患者告知预期的治疗结果,并促进临床实践中的共同决策。未来的研究可能集中于自适应技术,以实现个体化的 MIC,这最终可能有助于临床医生为个体患者选择最佳治疗方案。

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