Hunsaker Frank G, Cioffi Dominic A, Amadio Peter C, Wright James G, Caughlin Beth
National Research Corporation, Lincoln, Nebraska, USA.
J Bone Joint Surg Am. 2002 Feb;84(2):208-15. doi: 10.2106/00004623-200202000-00007.
The collection of population-based normative data is a necessary step in the process of standardization of eleven American Academy of Orthopaedic Surgeons (AAOS) musculoskeletal outcomes measures. These data serve as comparative normative scores with which to assess the effectiveness of treatment regimens in clinical practice settings and to study the clinical outcomes of treatment in musculoskeletal research.
With use of a panel mail methodology, self-reported data on the eleven AAOS musculoskeletal outcomes measures were collected from the general population of the United States.
The overall response rate of 67.4% for the various surveys met study expectations. For the eleven measures, the range of the confidence intervals for the surveys was +/-1.6% to +/-2.3%, exceeding the +/-3% set a priori. With use of the Multitrait/Multi-Item Analysis Program, all of the scales within each of eleven measures exhibited high internal reliability as well as discriminant and convergent validity. Items within each of the scales contributed roughly equal proportions of information to the total scale scores.
All eleven instruments met study expectations for providing reliable and valid normative data for use in clinical and research settings.
收集基于人群的规范性数据是美国矫形外科医师学会(AAOS)的11项肌肉骨骼疾病疗效评估指标标准化过程中的必要步骤。这些数据可作为比较性规范评分,用于评估临床实践中治疗方案的有效性,并研究肌肉骨骼疾病研究中的治疗临床结果。
采用邮寄调查法,从美国普通人群中收集关于AAOS的11项肌肉骨骼疾病疗效评估指标的自我报告数据。
各项调查的总体回复率为67.4%,达到了研究预期。对于这11项指标,调查的置信区间范围为±1.6%至±2.3%,超过了预先设定的±3%。使用多特质/多项目分析程序,11项指标中每项指标内的所有量表均显示出较高的内部信度以及区分效度和聚合效度。每个量表中的项目对总量表得分的信息贡献大致相等。
所有11种工具均达到了研究预期,可为临床和研究提供可靠且有效的规范性数据。