HMIS Sexual Violence (EN)

About the Course

This course is an open course. All modules are activity-based, which means that you have to develop different tasks using diverse materials to finish the module successfully. At the beginning of each module, you will be given the time needed to complete the module. We hope this helps you to organise your HMIS learning!

Participants need to do ALL the activities to complete each module. All modules are self-learning, which means that you can do the activities by yourself, without the support of a teacher. However, you will find open communication channels to be used in case you have doubts about doing the activities, and also for you to share your thoughts or ideas about the course.


Evaluation

If you manage to finish the course successfully you will receive a certificate that recognises that you have achieved the goals and acquired the knowledge of the module. 


Who is this course addressed to

This course is addressed to all those interested in knowing about MSF-OCBA HMIS, but especially to medical and non-medical staff working with health data such as Medco, Dep Medco, PMR, MAM, NAM, Midwife Activity Manager, Mental Health Activity Manager, Data encoder, Data entry or other profiles working with health data.



List of Contents

Module 1: What is HMIS?

By the end of this module you will be able to:

  •  Describe what is HMIS
  •  List the main functionalities of the HMIS
  •  Identify where is HMIS being used

Module 2: HMIS Tracker Capture app

By the end of this module you will be able to:

  •  Use HMIS Data Entry App
  •  Identify data sets and sections
  •  Recognise HMIS MSF OCBA hierarchy
  •  Be able to find the documentation to support the data entry
  •  Identify which data elements are collected in each health facility and how

Module 3: Data Analysis 

By the end of this module you will be able to:

  •  Use HMIS Pivot Table App and Data Visualiser App
  •  Create tables and charts for data analysis
  •  Identify the main elements for HMIS data analysis: What, when, where,
  •  Use the data analysis configuration menu