%0 Journal Article %T 基于层次分析法的乌鲁木齐地区卫生统计数据质量评价
Evaluation of Health Statistics Data Quality in Urumqi Region Based on Analytic Hierarchy Process %A 杨洁 %A 徐南 %A 刘怡 %J Statistics and Applications %P 1484-1489 %@ 2325-226X %D 2024 %I Hans Publishing %R 10.12677/sa.2024.134148 %X 目的：基于乌鲁木齐地区卫生统计数据质量评价指标，提供客观的参考指标，根据要素所占权重找出影响因素，提出问题改进措施，从而提高辖区卫生统计数据质量。方法：采取问卷调查并结合德尔菲专家咨询法确定各指标要素，运用层次分析法将影响卫生统计数据质量的问题要素进行分层，利用Yaahp软件计算各要素在卫生统计数据质量中的权重，通过权重占比找到主要问题。结果：反馈的数据总结为23个不同维度的影响因素，其中数据审核不到位、统计人员培训不到位和未对现场进行核查，缺乏问题发现渠道占比最大，分别为0.2012、0.1827和0.1535，均超过了0.15，其余要素在权重分析中少于0.15，为一般重要问题。结论：层次分析法能够更直观地找出卫生数据统计质量中最重要的因素；应从加强人员系统培训、确保数据审核和完善统计数据现场核查制度方面着手提高乌鲁木齐地区卫生统计数据质量。
Objective: Based on the quality evaluation indicators of health statistics data in Urumqi, objective reference indicators were provided, influencing factors were identified according to the weight of factors, and improvement measures were put forward to improve the quality of health statistics data in the district. Methods: A questionnaire survey combined with Delphi expert consultation method was used to determine each index element, AHP was used to stratify the problem elements affecting the quality of health statistics data, and Yaahp software was used to calculate the weight of each element in the quality of health statistics data, and the main problems were found through the weight proportion. Results: The feedback data were summarized into 23 influencing factors with different dimensions, among which, inadequate data review, inadequate training of statisticians and lack of verification of the site and lack of channels for problem identification accounted for the largest proportion, which were 0.2012, 0.1827 and 0.1535 respectively, all exceeding 0.15, and the rest elements were less than 0.15 in the weight analysis, which was a general important problem. Conclusion: AHP can find out the most important factors in the statistical quality of health data more directly. The quality of health statistics data in Urumqi should be improved by strengthening personnel training, ensuring data review and perfecting the on-site verification system of statistics. %K 层次分析法， %K 卫生统计， %K 数据质量， %K 问题， %K 措施
Analytic Hierarchy Process %K Health Statistics %K Data Quality %K Problems %K Measurements %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=95304