Research On Statistical Data Quality Problems And Countermeasures In Basic Health Institutions

Purpose: The combination of informatization and primary health work has enabled primary health institutions to generate massive amounts of data.In the context of policies focusing on grassroots,the quality of primary health statistics collected by health management departments affects their business supervision,medical reform management,and The level of policy making.This article discusses the quality of the statistical data of primary health institutions and proposes quality control countermeasures in the whole process of data collection,in order to enable the management department to truthfully understand the development status of primary health institutions and better conduct business supervision and policy formulation.At the same time,it is to reduce the burden of data reporting for primary health personnel,so that they can devote more time to health services for the people.Methods: Using literature research method,expert consultation method,on-site investigation method,and statistical analysis method to carry out domestic and foreign research status analysis,scientific demonstration of survey tools,statistical reports of sample institutions,investigation of information construction,and collation and analysis of survey data.According to the methods of system theory,cybernetics and total quality management theory,analyze the survey results,find out the quality problems of the report data and propose quality control countermeasures.Results:(1)Overview of the submission of statistical reports in the three provinces:(1)In terms of the submission process,the data collection units of primary health institutions are mainly health administrative departments at all levels and higher-level public health institutions.In the process of filling out the report form at the grassroots level,relevant data support from external units such as public security,civil affairs,medical insurance,and referral hospitals are needed.(2)In terms of the number and types of reports,the types of routine reports in the three places are generally too large,showing an increasing trend from west to east.Among them,the total number of basic public health reports and maternal and child reports are the largest in the three regions,accounting for the total number of all forms that need to be filled out.28.8% and20.2% of the total.(3)In terms of filling instructions,most of the statements of primary medical institutions in Guangxi and Jiangsu have report notes or explanatory documents,which account for 85.1% and 73.8% of the total number of forms,respectively.The forms with filling explanations in Anhui Province only account for58.1% of the total,and they are not filled in.The stated accounted for 41.9%.(4)In terms of reporting frequency,the three reports are mainly monthly reports,followed by annual reports,and then quarterly reports.Monthly reports account for 46.8% of the overall reports,accounting for almost half.(5)In terms of reporting methods,the informatization reporting methods of the three places are roughly equivalent to the ratios of paper reporting and paper reporting + informatization reporting,which are55.7% and 44.3% respectively.The ratio of paper submissions and paper submissions+ information-based submissions in Guangxi far exceeds that of information-based submissions,being 60.1% and 39.9% respectively.(6)In terms of the number and level of information systems,the number of information systems used by primary health institutions in Jiangsu and Anhui is significantly larger than that of Guangxi.Among them,Jiangsu Province is mostly at the district and county level,accounting for 31.8% of all information systems used in Anhui.The provinces are dominated by state-level systems,accounting for 56.0% of all its information systems,and Guangxi is dominated by provincial-level systems,accounting for43.5% of all its information systems.(2)The problems in the submission of statistical reports in the three provinces:repeated and cross-cutting data collection,a large number of reports;unreasonable indicator design and unclear interpretation;excessive emphasis on timeliness and lack of review links;lack of information and automation of data collection;The problems of information chimneys and information islands are prominent,and basic data sharing is difficult;the quality of information system functions is poor,and the source data is incomplete.(3)Data quality problems in the three-province statistical reports: primary health workers have heavy reporting burdens,insufficient data interpretability and comparability,insufficient data accuracy,and low data availability.Conclusion: Factors affecting data quality include statistical environmental factors,informatization factors,institutional factors,institutional factors,and quality control factors.Quality control in terms of prerequisites is to create a good statistical ecological environment and standardize the construction of information infrastructure;quality control in the pre-event phase is to deepen the reform of the statistical management system and improve the statistical investigation system;quality control in the mid-term phase is to improve The methods and methods of data collection,the establishment of a rigorous review process;quality control in the post-event phase,that is,innovating data quality evaluation methods to improve data quality.