Nutley Tara, Gnassou Léontine, Traore Moussa, Bosso Abitche Edwige, Mullen Stephanie
MEASURE Evaluation, Futures Group, Chapel Hill, NC, USA;
MEASURE Evaluation, John Snow, Inc., Abidjan, Côte d'Ivoire.
Glob Health Action. 2014 Oct 1;7:25035. doi: 10.3402/gha.v7.25035. eCollection 2014.
Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes.
To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire.
From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use.
From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments.
The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making.
改善卫生系统需要数据,但决策者常常未使用或未充分利用这些数据。如果不采取干预措施来改善数据在决策中的使用,卫生系统就无法满足其所服务人群的需求。2008年,在科特迪瓦,数据在卫生决策过程中基本未得到利用。
在科特迪瓦实施并评估一项旨在改善数据在决策中使用情况的干预措施。
2008年至2012年期间,科特迪瓦试图通过一项干预措施来改善国家卫生数据的使用,该措施包括扩大数据收集与决策过程的参与度并建立两者之间的联系;确定信息需求;提高数据质量;增强分析、综合和解释数据的能力;以及制定支持数据使用的政策。为评估结果,在干预前后使用有目的抽样和随机抽样相结合的方法进行了常规信息系统管理绩效评估。2008年,样本包括中央层面、12个区和119个机构,2012年,样本包括中央层面、20个区和190个卫生机构。为评估数据使用情况,我们制定了二分指标:对分析结果的讨论、基于分析做出的决策以及提交给上级管理层采取行动的决策。我们汇总这些指标以生成一个综合的、连续的数据使用指数。
2008年至2012年期间,区数据使用得分从40%提高到70%;机构得分保持不变——为38%。由于两次评估方法存在差异,未报告中央层面的得分。
该干预措施改善了科特迪瓦区一级决策中数据的使用情况。本研究为实施大规模干预措施以改善基于数据的决策提供了一个范例和指导。