Improving quality and use of data through data-use workshops: Zanzibar, United Republic of Tanzania

Improving quality and use of data through data-use workshops: Zanzibar, United Republic of Tanzania
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DOI:
10.2471/blt.11.99580
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发表时间:
2012-05-01
期刊:
Bulletin of the World Health Organization: International Journal of Public Health
影响因子:
--
通讯作者:
Sahay, Sundeep
Sahay, Sundeep
中科院分区:
其他
文献类型:
--
作者:
Braa, Jørn;Heywood, Arthur;Sahay, Sundeep

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问题在坦桑尼亚联合共和国的桑给巴尔,与许多发展中国家一样,卫生管理人员对国家卫生管理信息系统缺乏信心。建立平行的数据收集系统产生一个恶性循环:国家卫生数据很少使用,因为他们是质量差,他们的相对缺乏使用,反过来,使他们的质量仍然poor.Approach行动研究的方法,以加强使用信息和提高数据质量在桑给巴尔。基本的前提是,鼓励以小的渐进步骤使用可有助于打破恶性循环和改进HMIS。该项目包括每季度举办一次数据使用讲习班,在讲习班期间,地区工作人员评估自己的日常数据,并批评同事的数据。保健管理信息系统最初只包括初级保健门诊和产前保健,最终发展到包括所有主要保健方案以及地区和转诊医院。这些讲习班直接有助于改善数据覆盖面、数据集质量和合理化,以及在当地使用目标指标。
Problem In Zanzibar, United Republic of Tanzania, as in many developing countries, health managers lack faith in the national Health Management Information System (HMIS). The establishment of parallel data collection systems generates a vicious cycle: national health data are used little because they are of poor quality, and their relative lack of use, in turn, makes their quality remain poor.Approach An action research approach was applied to strengthen the use of information and improve data quality in Zanzibar. The underlying premise was that encouraging use in small incremental steps could help to break the vicious cycle and improve the HMIS.Local setting To test the hypothesis at the national and district levels a project to strengthen the HMIS was established in Zanzibar. The project included quarterly data-use workshops during which district staff assessed their own routine data and critiqued their colleagues'data.Relevant changes The data-use workshops generated inputs that were used by District Health Information Software developers to improve the tool. The HMIS, which initially covered only primary care outpatients and antenatal care, eventually grew to encompass all major health programmes and district and referral hospitals. The workshops directly contributed to improvements in data coverage, data set quality and rationalization, and local use of target indicators.Lessons learnt Data-use workshops with active engagement of data users themselves can improve health information systems overall and enhance staff capacity for information use, presentation and analysis for decision-making.