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Scientific & technical quality Print E-mail
The health and survival of mothers and their newborns are linked, and many of the interventions that save new mothers’ lives also benefit their infants. Many interventions have been proposed and scientifically evaluated in order to improve the quality of maternal and neonatal care. The QUALMAT project will generate new knowledge and scientific evidence to inform policy and health care management decisions for maternal health care quality improvement through staff motivation and patient involvement.
  • structure (facilities, equipment, quantity and quality of staff);
  • process (leadership, good management, supervision, audit, information/decision support system); and
  • outcomes (mothers’ and newborns’ health status, patient and provider satisfaction, etc).

This project focuses on the performance on health care providers, the importance of bridging the gap between knowing and doing has been shown by a number of studies Such deficiencies in performance were found not to be sufficient through training, refresher courses, provision of manuals of care as many interventions and many studies try to. Four assumptions underlie the proposed intervention study:

  • Midwives can provide crucial care. The QUALMAT approach includes strengthening and expanding midwifery education, creating policies to ensure the pivotal role of midwives in providing comprehensive obstetric and newborn care
  • The second assumption relates to the effectiveness of performance-based incentives to boost provider motivation. Motivated health workers will enable many other quality-related interventions and manage equipment and materials more effectively. Figure 1 illustrates health worker motivation as the missing piece of the quality puzzle.

The missing piece of the quality puzzle

Figure 1



Provider's motivation is the pivotal missing piece of the puzzle of quality care

  • The third assumption is related to the provision of knowledge at the point of health care delivery. Midwives and doctors will be provided state of the art, yet locally adapted, clinical decision support, based on national guidelines to help them make the appropriate decisions while consulting women and newborns in conjunction with existing knowledge brought to the point of clinical decision making in MNC.

The main measure of mortality risk is the maternal mortality ratio, which is identified as the number of maternal deaths during a given period of time per 100,000 live births during the same period, which is generally a year. Another key measure is the lifetime risk of maternal death, which reflects the probability of becoming pregnant and the probability of dying from a maternal cause during a women’s reproductive lifespan. In other words, the risk of maternal death is related to two main factors: mortality risk associated with a single pregnancy or live birth; and the number of pregnancies that women have during their reproductive years.

 
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