Ghana - Emergency Obstetric And Newborn Care,2011, Second Round

Start	End	Cycle
2011-04-28	2011-09-07	5 Months

Start	End	Cycle
2011		5 Years

Face-to-face [f2f]
The Ghana Statistical Services was contracted to manage the data entry and to conduct analysis. Twenty data entry staff were hired and trained in early August. The GSS developed data entry screens in CSPro 4.0 and double data entry was performed between August and December 2010. GSS staff carried out some preliminary cleaning of the files and sent them to AMDD for further cleaning. Cleaning continued throughout the process of preparing preliminary findings.

The questionnaires for the Generice EmONC were structured Eleven different questionnaires based on the EmONC Model Questionnaire with some modifications and additions. Models 1-11 were used as listed below:

Module 1: Identification of Facility and Infrastructure

Module 2: Human Resources

Module 3: Essential Drugs, Equipment, and Supplies

Module 4: Facility Case Summary

Module 5: EmONC Signal Functions and other Essential Services

Module 11: Referral for Obstetric, Newborn and other Patients

Module 6: Pantograph Review

Module 7: Provider knowledge and competency for Maternal and Newborn Care

Module 8: Cesarean Review

Module 9: Review of Maternal Deaths

Module 10: Review of Neonatal Deaths

Name	Abbreviation	Affiliation
Ghana Health Services	GHS	Ministry of Health

GHS identified a staff person to coordinate the implementation of the assessment. This person was responsible for recruiting the data collectors, organizing and managing the field work, ensuring adequate logistics and transportation planning, determining the routes the teams would take to visit facilities, managing and oversight of data collection teams in the field, and communication with data collection teams and health facilities to ensure access to facilities. The GHS issued a letter to all public and private facilities requesting their support in the national EmONC assessment. Field work began immediately after data collector training.