与膝髋关节骨关节炎患者能力水平相关的潜在心理健康结构是什么?
What Are the Underlying Mental Health Constructs Associated With Level of Capability in People With Knee and Hip Osteoarthritis?
机构信息
The Musculoskeletal Institute, The University of Texas at Austin, Dell Medical School, Austin, TX, USA.
Department of Orthopaedic Surgery, Duke University, Durham, NC, USA.
出版信息
Clin Orthop Relat Res. 2024 Apr 1;482(4):633-644. doi: 10.1097/CORR.0000000000003003. Epub 2024 Feb 23.
BACKGROUND
Mental health characteristics such as negative mood, fear avoidance, unhelpful thoughts regarding pain, and low self-efficacy are associated with symptom intensity and capability among patients with hip and knee osteoarthritis (OA). Knowledge gaps remain regarding the conceptual and statistical overlap of these constructs and which of these are most strongly associated with capability in people with OA. Further study of these underlying factors can inform us which mental health assessments to prioritize and how to incorporate them into whole-person, psychologically informed care.
QUESTIONS/PURPOSES: (1) What are the distinct underlying factors that can be identified using statistical grouping of responses to a multidimensional mental health survey administered to patients with OA? (2) What are the associations between these distinct underlying factors and capability in knee OA (measured using the Knee Injury and Osteoarthritis Outcome Score, Joint Replacement [KOOS JR]) and hip OA (measured using Hip Disability and Osteoarthritis Outcome Score, Joint Replacement [HOOS JR]), accounting for sociodemographic and clinical factors?
METHODS
We performed a retrospective cross-sectional analysis of adult patients who were referred to our program with a primary complaint of hip or knee pain secondary to OA between October 2017 and December 2020. Of the 2006 patients in the database, 38% (760) were excluded because they did not have a diagnosis of primary osteoarthritis, and 23% (292 of 1246) were excluded owing to missing data, leaving 954 patients available for analysis. Seventy-three percent (697) were women, with a mean age of 61 ± 10 years; 65% (623) of patients were White, and 52% (498) were insured under a commercial plan or via their employer. We analyzed demographic data, patient-reported outcome measures, and a multidimensional mental health survey (the 10-item Optimal Screening for Prediction of Referral and Outcome-Yellow Flag [OSPRO-YF] assessment tool), which are routinely collected for all patients at their baseline new-patient visit. To answer our first question about identifying underlying mental health factors, we performed an exploratory factor analysis of the OSPRO-YF score estimates. This technique helped identify statistically distinct underlying factors for the entire cohort based on extracting the maximum common variance among the variables of the OSPRO-YF. The exploratory factor analysis established how strongly different mental health characteristics were intercorrelated. A scree plot technique was then applied to reduce these factor groupings (based on Eigenvalues above 1.0) into a set of distinct factors. Predicted factor scores of these latent variables were generated and were subsequently used as explanatory variables in the multivariable analysis that identified variables associated with HOOS JR and KOOS JR scores.
RESULTS
Two underlying mental health factors were identified using exploratory factor analysis and the scree plot; we labeled them "pain coping" and "mood." For patients with knee OA, after accounting for confounders, worse mood and worse pain coping were associated with greater levels of incapability (KOOS JR) in separate models but when analyzed in a combined model, pain coping (regression coefficient -4.3 [95% confidence interval -5.4 to -3.2], partial R 2 0.076; p < 0.001) had the strongest relationship, and mood was no longer associated. Similarly, for hip OA, pain coping (regression coefficient -5.4 [95% CI -7.8 to -3.1], partial R 2 0.10; p < 0.001) had the strongest relationship, and mood was no longer associated.
CONCLUSION
This study simplifies the multitude of mental health assessments into two underlying factors: cognition (pain coping) and feelings (mood). When considered together, the association between capability and pain coping was dominant, signaling the importance of a mental health assessment in orthopaedic care to go beyond focusing on unhelpful feelings and mood (assessment of depression and anxiety) alone to include measures of pain coping, such as the Pain Catastrophizing Scale or Tampa Scale for Kinesiophobia, both of which have been used extensively in patients with musculoskeletal conditions.
LEVEL OF EVIDENCE
Level III, prognostic study.
背景
负面情绪、恐惧回避、对疼痛无益的想法和自我效能感等心理健康特征与髋膝关节骨关节炎(OA)患者的症状严重程度和能力有关。关于这些结构的概念和统计重叠以及哪些结构与 OA 患者的能力关系最密切,知识仍存在空白。进一步研究这些潜在因素可以告诉我们,应该优先考虑哪些心理健康评估,以及如何将其纳入整体的、心理知情的护理中。
问题/目的:(1)使用对 OA 患者进行多维心理健康调查的回答进行统计分组,可以确定哪些独特的潜在因素?(2)在膝关节 OA(使用膝关节损伤和骨关节炎结果评分,关节置换 [KOOS JR])和髋关节 OA(使用髋关节残疾和骨关节炎结果评分,关节置换 [HOOS JR])中,这些不同的潜在因素与能力之间存在哪些关联,同时考虑社会人口统计学和临床因素?
方法
我们对 2017 年 10 月至 2020 年 12 月期间因 OA 继发髋或膝关节疼痛而被转诊至我们项目的成年患者进行了回顾性横断面分析。在数据库的 2006 名患者中,38%(760 名)因没有原发性骨关节炎的诊断而被排除,23%(1246 名中的 292 名)因缺失数据而被排除,留下 954 名患者可供分析。73%(697 名)为女性,平均年龄为 61±10 岁;65%(623 名)为白人,52%(498 名)通过商业计划或雇主投保。我们分析了人口统计学数据、患者报告的结果测量值和多维心理健康调查(10 项最佳筛选预测转诊和结果-黄旗 [OSPRO-YF] 评估工具),这些数据在所有患者的基线新患者就诊时常规收集。为了回答我们关于确定潜在心理健康因素的第一个问题,我们对 OSPRO-YF 评分估计值进行了探索性因素分析。该技术有助于根据 OSPRO-YF 变量之间的最大共同方差,从整个队列中识别出统计学上不同的潜在因素。探索性因素分析确定了不同心理健康特征的相关性。然后应用碎石图技术将这些因素分组(基于特征值大于 1.0)为一组不同的因素。生成这些潜在变量的预测因子分数,然后将其作为多元分析的解释变量,以确定与 HOOS JR 和 KOOS JR 评分相关的变量。
结果
通过探索性因素分析和碎石图确定了两个潜在的心理健康因素;我们将其标记为“疼痛应对”和“情绪”。对于膝关节 OA 患者,在考虑混杂因素后,情绪和疼痛应对能力较差与 KOOS JR 能力更差相关,但在综合模型中分析时,疼痛应对(回归系数-4.3[95%置信区间-5.4 至-3.2],部分 R 2 0.076;p<0.001)的关系最强,而情绪不再相关。同样,对于髋关节 OA,疼痛应对(回归系数-5.4[95%置信区间-7.8 至-3.1],部分 R 2 0.10;p<0.001)的关系最强,而情绪不再相关。
结论
本研究将众多心理健康评估简化为两个潜在因素:认知(疼痛应对)和感觉(情绪)。当一起考虑时,能力与疼痛应对之间的关联占主导地位,这表明在骨科护理中进行心理健康评估不仅要超越关注无益的感觉和情绪(评估抑郁和焦虑),还要包括对疼痛应对的评估,例如疼痛灾难化量表或运动恐惧症量表,这些量表在肌肉骨骼疾病患者中已经得到了广泛应用。
证据水平
III 级,预后研究。
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