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Ministry of Health & Family Welfare Health MIS (HMIS) … an empowerment media

Learn about the Ministry of Health & Family Welfare's Health MIS (HMIS) rationalization process to improve data accuracy and reporting. Find details on HMIS key features and information availability for better health management.

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Ministry of Health & Family Welfare Health MIS (HMIS) … an empowerment media

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  1. Ministry of Health & Family WelfareHealth MIS (HMIS)… an empowerment media 05th September 2009 http://nrhm-mis.nic.in

  2. HMIS – Rationalisation Process Focus areas • Facility Based physical performance – accrual basis • Reduction in number of forms • Minimised redundancy • Definitions, glossary • Block HQ to be HMIS Hub at Sub-District level • Rationalisation of • Nomenclature of Institutions • Primary Registers • Nodal Information Officers – All levels

  3. Rationalisation of Formats – Data Load

  4. www.nrhm-mis.nic.in

  5. HMIS – Key Features • Web-based Data capturing system • Entry at District level (to begin with) • Includes District Level FMRs • Facility based performance • Identifying Probable Outliers • Inter consistency checks • Automatic aggregation • Export facility to Excel • Standard and Custom Reports • National, State and District Fact Sheets • Key indicators for NRHM and RCH • Integration of health related information across programmes – ongoing • Discontinuation of paper reports under NRHM

  6. HMIS – Information Available • Customized Reports – Data Item Wise Report • “All/Selective Items” • “Across Periods” • “Across Districts” • “Across States” • “Across Districts and Periods” • “Across States and Periods” • “Across Sub Districts” • Periodic Reports/Publication sections being continuously enhanced • DLHS III Reports • MMR Report • NFHS III Factsheet • SRS Bulletin • Time Series data on CBR, CDR, IMR & TFR – India • Demographic Indicators

  7. HMIS – Current Status • District Level data status – includes legacy data • Physical progress – 95% (2008-2009) • Financial reports – 50% (2008-2009) • Constant dialogue with States on data quality and completeness • Training portal embodied • Visitors from 34 countries

  8. Flow of Data–Data Aggregation Unit DAU

  9. Data Aggregation Unit Requirements • Computers • Internet • Trained Personnel – Nodal M & E Officers • Mapping of Health facilities …. Regular Feedback to data originator

  10. Modes of Data District Draft Mode

  11. Modes of Data State Draft Mode

  12. Modes of Data State Forward Mode

  13. Daily Monitoring

  14. Data Quality Checks • Consistency checks • Verify option • Compare option • Percentage Filled Reports – for completeness • Probable Outliers • Reports – Custom and standardised • Monitoring visits - checking of facility registers

  15. Challenges Ahead

  16. Key Findings 2008-2009 • Based on provisional data • 90% committed by states • Legacy data from April 2008 entered after November 2008 • Paper to digital reporting – acclimatisation

  17. Requirements from State Governments • Timely uploading by all Districts • Validating Data • Generating Preliminary Reports • Revalidate Data • Commit Data • Populating Facility Details • Expanding to Sub-District/Facility Based reporting • Using IT infrastructure of NIC, IDSP, CSCs

  18. Afternoon Session • Reports • NRHM: April-July, 2009 • RCH: April – July, 2009 • Other Indicators • Validating Data – detecting outliers • Drill Down • Sub-District level entry

  19. Thanks

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