Advancing Routine Health Management Information Systems (HMIS) to deliver for Every Newborn (EN-BIRTH study phase 2): Assessing the feasibility of incorporating, and exploring data quality and utility for selected maternal and newborn indicators in Kushtia, Bangladesh

USAID’s Research for Decision Makers (RDM)

Advancing Routine Health Management Information Systems (HMIS) to deliver for Every Newborn (EN-BIRTH study phase 2): Assessing the feasibility of incorporating, and exploring data quality and utility for selected maternal and newborn indicators in Kushtia, Bangladesh

BACKGROUND
This implementation research will explore the acceptability, appropriateness, fidelity, feasibility and costs of ENAP indicator integration in the national HMIS/DHIS2. The study will be conducted in 16 public health facilities in the Kushtia district of Bangladesh. Both quantitative and qualitative data collection methods will be employed to address the objective.

OBJECTIVES
To develop and implement a toolkit for systematically assessing the availability of MNH data elements in existing HMIS and explore the feasibility of incorporating data elements required for capturing EN-BIRTH phase-1 validated indicators through HMIS

STUDY AREA
Kushtia and Rajbari District

PARTNERS

  • London School of Hygiene and Tropical Medicine (LSHTM)
  • Data for Impact (D4I)

STATUS
Completed

FOCAL PERSON
Dr Ahmed Ehsanur Rahman ehsanur@icddrb.org

RESOURCES
Advancing routine Health Management Information systems (HMIS) to deliver for Every Newborn