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慢性下腰痛自我管理的预测因素。

Predictors of self-management for chronic low back pain.

作者信息

Kawi Jennifer

机构信息

Department of Physiological Nursing, School of Nursing, University of Nevada, Las Vegas.

出版信息

Appl Nurs Res. 2014 Nov;27(4):206-12. doi: 10.1016/j.apnr.2014.02.003. Epub 2014 Feb 10.

Abstract

AIMS

(a) Identify variables that predict self-management (SM) of chronic low back pain (CLBP), and (b) evaluate differences in these variables between participants in specialty pain centers (SPCs) and primary care clinics (PCCs).

BACKGROUND

Chronic low back pain is highly prevalent in various healthcare settings. Self-management strategies are recommended in pain care guidelines to help address CLBP. However, the evidence of SM effectiveness in CLBP remains unclear. Self-management may be effective for only certain patients. Hence, identifying the predictors to SM of CLBP is essential to help recognize the best responders to SM programs.

METHOD

Secondary analysis was conducted on data collected from two CLBP primary research studies in SPCs (N=110) and PCCs (N=120). General linear modeling was utilized for the combined sample of 230 participants and for each practice setting.

RESULTS

Overall, in SPCs and PCCs combined, five variables were found to be predictors of SM: age, SM support, education, overall health, and helpfulness of pain management. In SPCs, SM support, support received from other than healthcare providers, religion or spirituality, and overall health were identified as significant predictors to SM. In PCCs, both SM support and overall health were also significant predictors. In addition, those with higher income scored better in SM.

CONCLUSIONS

Findings provide essential information to healthcare providers in intervening appropriately toward engaging CLBP patients in SM. Other strategies need to be identified for those who do not respond effectively to SM strategies.

摘要

目的

(a) 确定预测慢性下腰痛(CLBP)自我管理(SM)的变量,以及 (b) 评估专科疼痛中心(SPCs)和初级保健诊所(PCCs)参与者在这些变量上的差异。

背景

慢性下腰痛在各种医疗环境中都非常普遍。疼痛护理指南推荐自我管理策略来帮助应对CLBP。然而,CLBP中自我管理有效性的证据仍不明确。自我管理可能仅对某些患者有效。因此,确定CLBP自我管理的预测因素对于帮助识别自我管理项目的最佳响应者至关重要。

方法

对从SPCs(N = 110)和PCCs(N = 120)的两项CLBP初步研究中收集的数据进行二次分析。对230名参与者的合并样本以及每个实践环境使用一般线性模型。

结果

总体而言,在SPCs和PCCs的合并样本中,发现五个变量是自我管理的预测因素:年龄、自我管理支持、教育程度、总体健康状况以及疼痛管理的帮助程度。在SPCs中,自我管理支持、来自医疗保健提供者以外的支持、宗教或灵性以及总体健康状况被确定为自我管理的重要预测因素。在PCCs中,自我管理支持和总体健康状况也是重要的预测因素。此外,收入较高的人在自我管理方面得分更高。

结论

研究结果为医疗保健提供者在适当干预以使CLBP患者参与自我管理方面提供了重要信息。对于那些对自我管理策略没有有效反应的人,需要确定其他策略。

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