rwanda pbf module for dhis-2
TRANSCRIPT
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Rwanda PBF module for DHIS-2
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Background
• Rwanda’s 45,000 Community Health Workers (CHWs) are not paid
but form about 500 CHW cooperatives that receive performance-based payments that are invested in income generating projects and share the revenues with members
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Chronology
• 2010: Data entered in OpenPBF module as part of integrated Community HMIS/PBF system
• 2012: System moved to DHIS-2 for data entry as part of Rwanda’s sustainability policy – most analysis still done off-line (Excel) because of need for external tables to support bank accounts, indicator tariffs, quality assessments/scores. Data imported from clinical PBF (php/MySQL platform)
• 2014: Developed PBF module to provide UI to manage PBF configuration and move calculated data into the datavalue table so that it can be analyzed using existing DHIS-2 tools
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Rwanda Quarterly PBF payment calculation Indicators: Quantity Tariff Amount Facility deliveries 360 650 234,000 ANC registrations during 1st trimester 400 500 200,000 Children assessed for nutrition status (MUAC) 8,500 50 200,000
634,000 Multiplied by: Quarterly PBF Quality Assessment score 85% PBF Payment amount 538,900 Plus: Steering committee payment 100,000 Report amount (Adjusted by % population) 3 105,000 315,000 Total payment amount 953,900
Pay into PBF bank account Bank of Kigali BK Musanze 089887765
Tariffs
Bank details
Paid data elements
Quality Assessment
Health Sector Population
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Tariff and Target setting
• Set tariffs for indicators at pre-determined levels for specific periods
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Manage bank accounts
• Associate Bank accounts with the different PBF payment schemes
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Set Quality Max Scores
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Enter Quality Assessment Score
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Enter PBF indicator data
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Adjust tariffs according to funds available
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Data Visualization & Sharing • Use built-in Dashboard and data visualization tools
• Use Web API to embed objects in other web sites
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New ideas:
• Mobile payment of Community PBF incentives
• Payments made directly to community health workers rather than through the cooperative
• Import of PBF indicators from other systems –
• RapidSMS – CHWs paid based upon the number of visits reported per pregnant woman recorded
• RHMIS – Health center data on FP users imported from HMIS instance of DHIS-2
• LimeSurvey – aggregate quality scores imported into DHIS-2
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Challenges
• PBF funding availability is often variable – difficult to maintain fixed tariffs
• Different PBF schemes require complex combinations of parameters to calculate payments including: • Indicator tariffs
• Catchment area population
• Quality assessment scores
• Report payment
• Steering committee payment
• Partner contributions (indicators and health facilites)
• Rwanda Community PBF complicated by Impact evaluation study during first 2 years (4 different payment groups)
• How to keep pace with DHIS-2 development – new versions every 2 months?