Please select the arm or intervention descriptions that belong to the clinical trial below.
Title: Health Care Intervention Research-Quality of Prenatal and Maternal Care: Bridging the Know-do Gap (QUALMAT)
Brief Summary: 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


Options:
A: Arm Label: mHealth midwives; Type: EXPERIMENTAL; Interventions: Device: mHealth | Arm Label: mHealth midwives - control; Type: ACTIVE_COMPARATOR; Interventions: Device: mHealth | Arm Label: Pregnant Women; Type: ACTIVE_COMPARATOR; Interventions: Device: mHealth | Intervention Type: DEVICE; Name: mHealth; Assigned to Arm(s): Pregnant Women, mHealth midwives, mHealth midwives - control
B: Arm Label: Paper-based decision-support; Type: ACTIVE_COMPARATOR; Interventions: Other: Paper-based decision-support, Other: Pre-Assessment of practices | Arm Label: Smartphone-based decision-support; Type: ACTIVE_COMPARATOR; Interventions: Other: Smartphone-based decision-support, Other: Pre-Assessment of practices | Intervention Type: OTHER; Name: Smartphone-based decision-support; Assigned to Arm(s): Smartphone-based decision-support | Intervention Type: OTHER; Name: Paper-based decision-support; Assigned to Arm(s): Paper-based decision-support | Intervention Type: OTHER; Name: Pre-Assessment of practices; Assigned to Arm(s): Paper-based decision-support, Smartphone-based decision-support
C: Arm Label: without CDSS; Type: NO_INTERVENTION; Interventions: Other: CDSS | Arm Label: with CDSS; Type: EXPERIMENTAL; Interventions: Other: CDSS | Intervention Type: OTHER; Name: CDSS; Assigned to Arm(s): with CDSS, without CDSS
D: Arm Label: A - coded unit ID; Type: EXPERIMENTAL; Interventions: Other: clinical decision support | Arm Label: B - coded unit ID; Type: NO_INTERVENTION; Interventions: N/A | Intervention Type: OTHER; Name: clinical decision support; Assigned to Arm(s): A - coded unit ID

Answer: C