Health Management Information System utilization in Pakistan: Challenges, pitfalls and the way forward
Health Management Information System utilization in Pakistan: Challenges, pitfalls and the way forward
复制标题
DOI：
10.5582/bst.2011.v5.6.245
复制
发表时间：
2011-01-01
影响因子：
5.5
通讯作者：
Ali, Moazzam
中科院分区：
文献类型：
--
作者：
Qazi, Muhammad Suleman;Ali, Moazzam
在决策中使用通过卫生管理信息系统产生的数据，自巴基斯坦建立以来一直面临各种挑战。本研究以描述性质性研究探讨卫生管理人员对卫生管理信息系统的认知，以了解卫生管理信息系统的使用现状及问题。共有26名管理人员（均为男性，年龄从26岁至49岁不等;从联邦一级（2名）、省一级（4名）和所有四个省的七个选定地区（20名）中选出）接受了面对面访谈。答复者指出了造成数据不使用、滥用和废弃的一些障碍。这些问题包括HMIS的范围有限，数据质量可疑，数据需求背后的政治动机和数据报告中的腐败因素等，需要大量的政治和行政意愿，使卫生管理决策的透明度制度化，HMIS是这样做的一个重要工具。需要适当的立法和条例，以创造一个有利的政策环境，帮助改变现有的决策文化。要有效利用信息，除了需要发展地区卫生管理人员理解和使用数据的能力外，还需要以易于理解的形式及时向高层决策者提供相关数据，沿着与这些数据有关的建议行动。
Use of data generated through the Health Management Information System (HMIS) in decision making has been facing various challenges ever since its inception in Pakistan. This descriptive qualitative study attempts to explore the perceptions of health managers to identify the status and issues in use of HMIS. Overall 26 managers (all men, ages ranging from 26 to 49 years; selected from federal level (2), provincial (4) and seven selected districts (20) from all four provinces) were interviewed face to face. The respondents identified a number of hurdles resulting in non-use, misuse and disuse of data. These included limited scope of HMIS, dubious data quality, political motives behind demand of data and an element of corruption in data reporting etc. A great deal of political and administrative will is required to institutionalize transparency in decision making in health management and HMIS is an important tool for doing so. Appropriate legislation and regulations are needed to create a conducive policy environment that would help in changing the existing decision making culture. The effective use of information requires that besides capacity development of district health managers in understanding and use of data, the higher level decision makers are provided with relevant data timely and in an easily understandable form along with the recommended actions pertinent to this data.