Developing a Minimum Data Set for a congenital abnormalities surveillance programme in Rwanda – a modified e-Delphi consensus study

Name	World Continuing Education Alliance
Activity Title	Developing a Minimum Data Set for a congenital abnormalities surveillance programme in Rwanda – a modified e-Delphi consensus study
Details	CARs, congenital abnormality registries; OMET, core outcome measures in effectiveness trials; COS, core outcome set; EUROCAT, European Surveillance of Congenital Anomalies; HRH, human resources for health; ICD, International Statistical Classification of Diseases and Related Health Problems; IRB, institutional review board; LMIC, low and middle-income countries; MDS, Minimum Data Set; MeSH, medical subject headings; MoH, Ministry of Health; PI, principle investigator; RPA, Rwandan Pediatric Association; SD, standard deviation; WHO, World Health Organization. Objectives Course Objective In 2015 it was reported that approximately 300,000 newborns die within four weeks of birth every year, worldwide, due to congenital anomalies. This represents approximately 11% of neonatal deaths. This has led scientists, clinicians and public health authorities to establish congenital abnormality registries (CARs). There is currently no CAR in Rwanda. In establishing such a registry, it was determined that the first step was to identify the Minimum Data Set (MDS) of items/variables and outcomes for the registry to ensure that the final results are meaningful and employable.
Competence	Public Health
Start Date	<span class="not-set">(not set)</span>
End Date	<span class="not-set">(not set)</span>
Event Time	12:45 PM
Location	World Continuing Education Alliance eLearning System
Cost (UGX)	0
CPD Points	1