中国卫生信息管理杂志
中國衛生信息管理雜誌
중국위생신식관리잡지
CHINESE JOURNAL OF HEALTH INFORMATICS AND MANAGEMENT
2013年
4期
345-356
,共12页
卫生统计%数据质量%影响因素%调查
衛生統計%數據質量%影響因素%調查
위생통계%수거질량%영향인소%조사
Health statistics%Data quality%Influential factors%Surveys
目的探讨卫生统计数据质量的影响因素，有针对性地采取措施，提高数据质量。方法采用定性与定量的研究方法收集卫生统计数据质量的影响因素，探讨卫生统计数据失真的原因。结果调查全国476个医疗卫生机构卫生统计负责人476人次，有20个因素50%以上的调查对象认为对数据质量有影响，其中属于制度、体制及机制因素的12个，基础条件因素3个，信息化建设3个，人的因素2个。影响因素比例较高的前10位依次为：统计培训不够（74.62%），报表规定报送的时间是否合理（63.83%），报表顶层设计部门未协调沟通、统计口径不统一（61.70%），人员为兼职或外聘（61.18%），调查制度制定的科学性（61.11%），代报制度是否合理（60.56%），调查内容是否易获得（59.62%），管理体制混乱、交叉重复（59.15%），机构内部各部门缺乏沟通（59.02%），缺乏相应的工具书（58.65%）。结论制度、体制及机制因素是影响数据质量的重要因素，提高数据质量要从管理制度、顶层设计抓起，可起到事半功倍的效果。
目的探討衛生統計數據質量的影響因素，有針對性地採取措施，提高數據質量。方法採用定性與定量的研究方法收集衛生統計數據質量的影響因素，探討衛生統計數據失真的原因。結果調查全國476箇醫療衛生機構衛生統計負責人476人次，有20箇因素50%以上的調查對象認為對數據質量有影響，其中屬于製度、體製及機製因素的12箇，基礎條件因素3箇，信息化建設3箇，人的因素2箇。影響因素比例較高的前10位依次為：統計培訓不夠（74.62%），報錶規定報送的時間是否閤理（63.83%），報錶頂層設計部門未協調溝通、統計口徑不統一（61.70%），人員為兼職或外聘（61.18%），調查製度製定的科學性（61.11%），代報製度是否閤理（60.56%），調查內容是否易穫得（59.62%），管理體製混亂、交扠重複（59.15%），機構內部各部門缺乏溝通（59.02%），缺乏相應的工具書（58.65%）。結論製度、體製及機製因素是影響數據質量的重要因素，提高數據質量要從管理製度、頂層設計抓起，可起到事半功倍的效果。
목적탐토위생통계수거질량적영향인소，유침대성지채취조시，제고수거질량。방법채용정성여정량적연구방법수집위생통계수거질량적영향인소，탐토위생통계수거실진적원인。결과조사전국476개의료위생궤구위생통계부책인476인차，유20개인소50%이상적조사대상인위대수거질량유영향，기중속우제도、체제급궤제인소적12개，기출조건인소3개，신식화건설3개，인적인소2개。영향인소비례교고적전10위의차위：통계배훈불구（74.62%），보표규정보송적시간시부합리（63.83%），보표정층설계부문미협조구통、통계구경불통일（61.70%），인원위겸직혹외빙（61.18%），조사제도제정적과학성（61.11%），대보제도시부합리（60.56%），조사내용시부역획득（59.62%），관리체제혼란、교차중복（59.15%），궤구내부각부문결핍구통（59.02%），결핍상응적공구서（58.65%）。결론제도、체제급궤제인소시영향수거질량적중요인소，제고수거질량요종관리제도、정층설계조기，가기도사반공배적효과。
Objective Explore the influential factors of health statistics data quality for making the countermeasures which would improve the data quality. Methods The influential factors of health statistics data quality were collected by using qualitative and quantitative research methods, the reasons why data was distorted had been investigated. Results 476 persons in charge of statistics in 476 health institutions were surveyed. More than 50%of the interviewees thought 20 factors should be responsible for data quality. 12 factors Abstract Objective Explore the influential factors of health statistics data quality for making the countermeasures which would improve the data quality. Methods The influential factors of health statistics data quality were collected by using qualitative and quantitative research methods, the reasons why data was distorted had been investigated. Results 476 persons in charge of statistics in 476 health institutions were surveyed. More than 50%of the interviewees thought 20 factors should be responsible for data quality. 12 factors concerting system and mechanism, 3 factors concerning basic conditions,3 factors concerning informatization construction and 2 factors concerning human resource . The Top ten influential factors were listed as follows:lack of statistical training (74.62%), irreasonable reporting statistic time (63.83%), insufficient communication of report designing and unclear statistical definition (61.70%), part-time or temporary statistician (61.18%), unscientific survey system (61.11%), unreasonable system of statistic report on behalf of another (60.56%), the accessibility of investigation content (59.62%), the management system of overlapping and chaos (59.15%), lack of effective communication within the departments (59.02%) and lack of reference books (58.65%). Conclusion System and mechanism were the most important factors among all the influential factors. We would get twofold results with half the effort in improving data quality if top officers or management institution of health statistics pay more attention to it and make more scientific survey design.
