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MakingElectronicandLogisticsManagement
InformationSystemsInteroperable
ThePotentialtoCreateaStrongerDigitalHealth
SysteminBangladesh
Mohammad Golam Kibria
MEASURE Evaluation
University of North Carolina at Chapel Hill
Health Systems Research 2018
Introduction and background
MEASURE Evaluation is working with the Directorate
General of Family Planning (DGFP) Bangladesh to
โ€ข Strengthen the electronic management information system
(eMIS) to improve recording and reporting, through
collection of services and logistics data at the community
level, using hand-held devices
โ€ข Assist in the digital transformation: moving paper processes
into the digital realm
โ€ข Help monitor progress and performance of the collection of
service statistics and contribute to strengthening the supply
chain in real time
Problem statement
โ€ข Discrete electronic systems handle service statistics (the
eMIS) and logistics data.
โ€ข Real-time logistics information from service delivery points
(SDPs) is unavailable.
โ€ข A single platform to view data and assess the health
systemโ€™s performance is lacking.
โ€ข These issues lead to poor data quality and use
โ€ฆโ€ฆresulting in unnoticed sporadic stockouts of family
planning (FP) commodities at SDP level.
Reasons to integrate the 2 systems
โ€ข To improve data availability, quality/verification, and visibility
in real time
โ€ข To establish routinely linking eMIS and LMIS data to support
these functions:
โ€ข Data validation
โ€ข Projection
โ€ข Supply planning
โ€ข To enhance communication between service delivery
program managers and supply chain managers
โ€ข To monitor the use of information for decision making and to
take prompt action to replenish supply
Addressing the challenge: The process
โ€ข Conceptualized the needs of the DGFPโ€™s comprehensive
information management system
โ€ข Identified key stakeholders and constraints
โ€ข Conducted a systems review and an options and feasibility
analysis and designed the interoperability between eMIS and
LMIS
โ€ข Facilitated an enabling environment
Conceptual Model-Interoperability
Progress to date
Stock monitoring at different levels
Source: DGFP LMIS
Evidence-based decision making: Stock
monitoring of SDPs, by item and time horizon
Source: DGFP LMIS
120
125
130
135
140
145
2010-11 2011-12 2012-13
Inmillion
Condom consumption vs dispensed
LMIS HMIS
Challenges
โ€ข Taking prompt action, based on information
โ€ข Retaining trained staff
โ€ข Improving the ICT infrastructure (Internet connectivity;
suboptimal performance of tablets)
โ€ข Ensuring a feedback mechanism
โ€ข Thoroughly discussing the FP programโ€™s performance at
district/sub-district monthly meetings
โ€ข Motivating staff
Lessons learned
โ€ข Government ownership and donor commitment and
understanding need to be constantly fostered and
reinforced at all levels.
โ€ข The government needs to increase financial resources and
ensure optimal use of existing resources and tools.
โ€ข High visibility of data has profound motivating effects, both
through recognition of excellence and accountability for
poor performance.
โ€ข To ensure evidence-based decisions, policymakers need to
be proactive in reviewing the dashboard platform and
tracking data.
This presentation was produced with the support of the United States
Agency for International Development (USAID) under the terms of
MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004.
MEASURE Evaluation is implemented by the Carolina Population
Center, University of North Carolina at Chapel Hill in partnership with
ICF International; John Snow, Inc.; Management Sciences for Health;
Palladium; and Tulane University. Views expressed are not necessarily
those of USAID or the United States government.
www.measureevaluation.org

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Making Electronic and Logistics Management Information Systems Interoperable The Potential to Create a Stronger Digital Health System in Bangladesh

  • 2. Introduction and background MEASURE Evaluation is working with the Directorate General of Family Planning (DGFP) Bangladesh to โ€ข Strengthen the electronic management information system (eMIS) to improve recording and reporting, through collection of services and logistics data at the community level, using hand-held devices โ€ข Assist in the digital transformation: moving paper processes into the digital realm โ€ข Help monitor progress and performance of the collection of service statistics and contribute to strengthening the supply chain in real time
  • 3. Problem statement โ€ข Discrete electronic systems handle service statistics (the eMIS) and logistics data. โ€ข Real-time logistics information from service delivery points (SDPs) is unavailable. โ€ข A single platform to view data and assess the health systemโ€™s performance is lacking. โ€ข These issues lead to poor data quality and use โ€ฆโ€ฆresulting in unnoticed sporadic stockouts of family planning (FP) commodities at SDP level.
  • 4. Reasons to integrate the 2 systems โ€ข To improve data availability, quality/verification, and visibility in real time โ€ข To establish routinely linking eMIS and LMIS data to support these functions: โ€ข Data validation โ€ข Projection โ€ข Supply planning โ€ข To enhance communication between service delivery program managers and supply chain managers โ€ข To monitor the use of information for decision making and to take prompt action to replenish supply
  • 5. Addressing the challenge: The process โ€ข Conceptualized the needs of the DGFPโ€™s comprehensive information management system โ€ข Identified key stakeholders and constraints โ€ข Conducted a systems review and an options and feasibility analysis and designed the interoperability between eMIS and LMIS โ€ข Facilitated an enabling environment
  • 8. Stock monitoring at different levels Source: DGFP LMIS
  • 9. Evidence-based decision making: Stock monitoring of SDPs, by item and time horizon Source: DGFP LMIS 120 125 130 135 140 145 2010-11 2011-12 2012-13 Inmillion Condom consumption vs dispensed LMIS HMIS
  • 10. Challenges โ€ข Taking prompt action, based on information โ€ข Retaining trained staff โ€ข Improving the ICT infrastructure (Internet connectivity; suboptimal performance of tablets) โ€ข Ensuring a feedback mechanism โ€ข Thoroughly discussing the FP programโ€™s performance at district/sub-district monthly meetings โ€ข Motivating staff
  • 11. Lessons learned โ€ข Government ownership and donor commitment and understanding need to be constantly fostered and reinforced at all levels. โ€ข The government needs to increase financial resources and ensure optimal use of existing resources and tools. โ€ข High visibility of data has profound motivating effects, both through recognition of excellence and accountability for poor performance. โ€ข To ensure evidence-based decisions, policymakers need to be proactive in reviewing the dashboard platform and tracking data.
  • 12. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. Views expressed are not necessarily those of USAID or the United States government. www.measureevaluation.org