层次分析法在慢性疼痛医患共建平行病历和核心结局指标集中的应用＊

慢性疼痛是一种复杂的综合性疾病,常以患者主观感受与单一量表评价为其临床疗效评价的依据,致使其疗效评价过于主观且缺乏统一规范的标准,难以真实反映临床疗效,建立医患共建平行病历和核心结局指标集有助于解决上述问题。构建医患共建平行病历和核心结局指标集过程中,针对筛选的结局指标存在种类繁多、难以量化的问题,本研究创新性引入层次分析法（AHP）将定量、定性分析相结合,把多样性的结局指标集作为整体,进行系统分层,建立判断矩阵,计算最优权重,多维、客观的筛选最优结局指标,为构建慢性疼痛医患共建平行病历与核心结局指标集选择最优指标提供依据,为精准评价慢性疼痛临床疗效提供方法学借鉴。

Application of Analytic Hierarchy Process in Doctor-Patient Co-Operated Evidence-Based Medical Record and Core Outcomes in Patients with Chronic Pain

Chronic pain is a complex and comprehensive disease. It is often based on the patient s subjective feelings and a single scale to evaluate its clinical efficacy. As a result, its efficacy evaluation is too subjective and lacks uniform standards and is difficult to truly reflect clinical efficacy. Using Doctor-patient Co-operated Evidence-based Medical Record (DCEMR) and Core Outcome Set (COS) can help solve the above problems. While in the process of constructing DCEMR and COS, there are many kinds of outcome indicators for screening, which are difficult to quantify. This study introduces Analytic Hierarchy Process (AHP) to combine quantitative and qualitative analysis. By gathering multiple outcomes, setting up systematical layers and building up comparison matrix, we finally figure out a multi-dimensional, relatively objective and optimal outcome set. The method introduced in this study will provide a basis for constructing optimal outcomes within the usage of DCEMR and COS, and also provide methodological reference for accurate evaluation of clinical efficacy of chronic pain.