Wright Kathy, Moore Shirley M, Morris Diana Lynn, Hazelett Susan
Res Gerontol Nurs. 2017 Jul 1;10(4):155-161. doi: 10.3928/19404921-20170621-02.
Managing missing data in a secondary analysis is daunting, particularly if the data of interest were not included in the parent study design. The current study describes the use of geocoding to replace missing data from a parent study for a secondary analysis of socioeconomic and neighborhood characteristics in community-dwelling older adults who are dually eligible for Medicare and Medicaid. Geocoding was used to link participants' addresses to data from the American Community Survey to replace missing income and neighborhood data. After geocoding, data completeness was 100% for neighborhood poverty and education composition, and 99.9% for income. Using geocoding provides the gerontological nurse researcher with a sample that is more reflective of the population. The current findings can be used to tailor neighborhood-centered interventions to promote health in low-income older adults. [Res Gerontol Nurs. 2017; 10(4):155-161.].
在二次分析中处理缺失数据是一项艰巨的任务，尤其是当感兴趣的数据未包含在原始研究设计中时。当前的研究描述了使用地理编码来替换原始研究中的缺失数据，以便对同时符合医疗保险和医疗补助条件的社区居住老年人的社会经济和邻里特征进行二次分析。地理编码被用于将参与者的地址与美国社区调查的数据相链接，以替换缺失的收入和邻里数据。地理编码后，邻里贫困和教育构成的数据完整性为100%，收入数据完整性为99.9%。使用地理编码为老年护理研究人员提供了一个更能反映总体情况的样本。当前的研究结果可用于制定以邻里为中心的干预措施，以促进低收入老年人的健康。[《老年护理研究》。2017年；10(4):155 - 161。]
