Health Care Intervention Research- Improving Pre-natal and Maternal Care (QUALMAT)
Health Care Intervention Research-Quality of Prenatal and Maternal Care: Bridging the Know-do Gap (QUALMAT)
Besides a dramatic lack of financial and human resources in developing countries, health care is additionally endangered by quality deficiencies caused by low staff motivation. This lack of motivation leads to an insufficient translation of knowledge into optimal utilization of resources. The "know-do" gap represents a challenge that must be addressed to strengthen health services performance towards achieving the Millennium Development Goals (MDGs). This is in particular true for some sensitive sectors like pre-natal and maternal health care. General objective of this research is to improve maternal health through better pre-natal and maternal care services offered by better motivated health workers. A computer-assisted clinical decision support system (CDSS) will be developed, implemented and tested aiming at (I) quality improvement of maternal and newborn care and (II) assessment of provider's performance. Based on this tool a commonly agreed incentive scheme to increase motivation will be shaped and tested in three SSA - countries, namely Burkina, Ghana, and Tanzania.
The incentive scheme might contain both non-monetary and monetary incentives and will be designed according to the human resource policy in the three countries. The planned approach is an implementation study with control arms containing one hospital and 6 first line health facilities in each of the study districts and an equal number of facilities in the control arm. A set of indicators for measurement of changes in quality of delivered services will be identified in order to follow up the sustainability and effectiveness of the strategies after their implementation. The study findings will allow understanding the important factors of staff motivation and facilitate adequate management for improvement of maternal and neonatal health care. "Knowing is not enough, we must apply; Wanting to do, is not enough, we must do it1"
- J.W. v. Goethe
研究概览
研究类型
注册 (预期的)
阶段
- 不适用
联系人和位置
学习地点
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Heidelberg、德国、69120
- 招聘中
- University of Heidelberg
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接触:
- Rainer Sauerborn, Prof.
- 电话号码:00496221565859
- 邮箱:svetla.loukanova@urz.uni-heidelberg.de
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
描述
Inclusion Criteria:
- the patient in the primary health care center
Exclusion Criteria:
- patients outside the research regions
学习计划
研究是如何设计的?
设计细节
- 分配:非随机化
- 介入模型:并行分配
- 屏蔽:无(打开标签)
武器和干预
参与者组/臂 |
干预/治疗 |
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无干预:without CDSS
This arm includes 6 health facilities in each partner country, where the clinical decision support system will not be implemented
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Clinical Decision Support System
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实验性的:with CDSS
This arm includes 6 health facilities in each partner country, where the clinical decision support system will be implemented, parallel to the performance based incentive package
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Clinical Decision Support System
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研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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motivation
大体时间:2 years
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This research aims to increase the motivation of the health care providers through two parallel intervention packages- implementation of Clinical decision support system and incentive packages, based on the performance.
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2 years
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Improved quality of health services in ANC and delivery
大体时间:2 years
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This research aims to improve the quality of the services provided through better motivated health workers
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2 years
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合作者和调查者
出版物和有用的链接
一般刊物
- Saronga HP, Duysburgh E, Massawe S, Dalaba MA, Wangwe P, Sukums F, Leshabari M, Blank A, Sauerborn R, Loukanova S. Cost-effectiveness of an electronic clinical decision support system for improving quality of antenatal and childbirth care in rural Tanzania: an intervention study. BMC Health Serv Res. 2017 Aug 7;17(1):537. doi: 10.1186/s12913-017-2457-z.
- Blank A, Prytherch H, Kaltschmidt J, Krings A, Sukums F, Mensah N, Zakane A, Loukanova S, Gustafsson LL, Sauerborn R, Haefeli WE. "Quality of prenatal and maternal care: bridging the know-do gap" (QUALMAT study): an electronic clinical decision support system for rural Sub-Saharan Africa. BMC Med Inform Decis Mak. 2013 Apr 10;13:44. doi: 10.1186/1472-6947-13-44.
研究记录日期
研究主要日期
学习开始
初级完成 (实际的)
研究完成 (预期的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (估计)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他研究编号
- S-173/2008
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