Health Care Intervention Research- Improving Pre-natal and Maternal Care (QUALMAT)
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT01409824|
Recruitment Status : Unknown
Verified February 2010 by Heidelberg University.
Recruitment status was: Recruiting
First Posted : August 4, 2011
Last Update Posted : August 4, 2011
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
|Condition or disease||Intervention/treatment|
|Antenatal Care and Delivery||Other: CDSS|
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||36 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||None (Open Label)|
|Official Title:||Health Care Intervention Research-Quality of Prenatal and Maternal Care: Bridging the Know-do Gap (QUALMAT)|
|Study Start Date :||May 2009|
|Primary Completion Date :||September 2010|
|Estimated Study Completion Date :||April 2014|
No Intervention: without CDSS
This arm includes 6 health facilities in each partner country, where the clinical decision support system will not be implemented
Clinical Decision Support System
Experimental: 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
Clinical Decision Support System
- motivation [ Time Frame: 2 years ]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.
- Improved quality of health services in ANC and delivery [ Time Frame: 2 years ]This research aims to improve the quality of the services provided through better motivated health workers
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01409824
|Contact: Rainer Sauerborn, Prof.||email@example.com|
|University of Heidelberg||Recruiting|
|Heidelberg, Germany, 69120|
|Contact: Rainer Sauerborn, Prof. 00496221565859 firstname.lastname@example.org|