Ahanhanzo Yolaine Glèlè, Saizonou Jacques, Wodon Alain, Dujardin Bruno, Wilmet-Dramaix Michèle, Makoutodé Michel
Sante Publique. 2015 Mar-Apr;27(2):241-8.
In developing countries, the poor quality of data derived from Health Information Systems constitutes a problem that limits use of these data and contributes to the recurrent difficulties of health system management. The low level of involvement of health workers directly responsible for data may contribute to this poor quality. This study documents a Health Information System collection tool design experience by health workers and assesses its effect on data quality.
Eighty health workers responsible for clinical statistics in public health centres participated in this study. The two tools used for clinical data collection were modified by a group of 6 volunteer health workers. Monitoring indicators, data entry time, percentage exhaustiveness and quality of data were assessed before and after using the new tools. Data were compared by Wilcoxon’s test for paired data and Mc Nemar’s chi-square test.
Between the two assessments, the data entry time increased from 28.7 to 22.5 seconds by reported case (p=0.153), the exhaustiveness of the reports increased from 16% to 89% (p<0.001) and the proportion of reports with sufficient data quality increased from 18.8% to 45.8% (p=0.002).
The positive course of the indicators shows that increased involvement of health workers in key stages such as the design of data collection tools can help improve data quality.
在发展中国家，卫生信息系统产生的数据质量低下构成了一个问题，限制了这些数据的使用，并导致卫生系统管理反复出现困难。直接负责数据的卫生工作者参与程度较低可能导致了这种质量低下的情况。本研究记录了卫生工作者设计卫生信息系统收集工具的经验，并评估其对数据质量的影响。
80名负责公共卫生中心临床统计的卫生工作者参与了本研究。一组6名志愿卫生工作者对用于临床数据收集的两种工具进行了修改。在使用新工具前后，对监测指标、数据录入时间、详尽程度百分比和数据质量进行了评估。数据通过配对数据的Wilcoxon检验和Mc Nemar卡方检验进行比较。
在两次评估之间，报告病例的数据录入时间从28.7秒增加到22.5秒（p=0.153），报告的详尽程度从16%增加到89%（p<0.001），数据质量足够的报告比例从18.8%增加到45.8%（p=0.002）。
指标的积极变化表明，让卫生工作者更多地参与数据收集工具设计等关键阶段有助于提高数据质量。
