Health Care Intervention Research- Improving Pre-natal and Maternal Care (QUALMAT)

The recruitment status of this study is unknown because the information has not been verified recently.
Verified February 2010 by Heidelberg University.
Recruitment status was  Recruiting
Sponsor:
Collaborators:
Ghent University, International Center for Reproductive Health, Belgium
Centre de Recherche en Sante de Nouna, Burkina Faso
Navrongo Health Research Centre, Ghana
Karolinska Institutet
Muhimbili University of Health and Allied Sciences
Information provided by:
Heidelberg University
ClinicalTrials.gov Identifier:
NCT01409824
First received: August 3, 2011
Last updated: NA
Last verified: February 2010
History: No changes posted

August 3, 2011
August 3, 2011
May 2009
September 2010   (final data collection date for primary outcome measure)
motivation [ Time Frame: 2 years ] [ Designated as safety issue: No ]
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.
Same as current
No Changes Posted
Improved quality of health services in ANC and delivery [ Time Frame: 2 years ] [ Designated as safety issue: No ]
This research aims to improve the quality of the services provided through better motivated health workers
Same as current
Not Provided
Not Provided
 
Health Care Intervention Research- Improving Pre-natal and Maternal Care
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

Not Provided
Interventional
Not Provided
Allocation: Non-Randomized
Intervention Model: Parallel Assignment
Masking: Open Label
Antenatal Care and Delivery
Other: CDSS
Clinical Decision Support System
  • No Intervention: without CDSS
    This arm includes 6 health facilities in each partner country, where the clinical decision support system will not be implemented
    Intervention: Other: CDSS
  • 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
    Intervention: Other: CDSS
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.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
36
April 2014
September 2010   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • the patient in the primary health care center

Exclusion Criteria:

  • patients outside the research regions
Female
12 Years to 45 Years
No
Contact: Rainer Sauerborn, Prof. 00496221565859 svetla.loukanova@urz.uni-heidelberg.de
Germany
 
NCT01409824
S-173/2008
Yes
Prof. Rainer Sauerborn, University of Heidelberg
Heidelberg University
  • Ghent University, International Center for Reproductive Health, Belgium
  • Centre de Recherche en Sante de Nouna, Burkina Faso
  • Navrongo Health Research Centre, Ghana
  • Karolinska Institutet
  • Muhimbili University of Health and Allied Sciences
Not Provided
Heidelberg University
February 2010

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP