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Usage MCH data for develop MCH System in the region

Usage MCH data for develop MCH System in the region. Dr.Chollatit Urairoekkun. Contents:. Present Situation Data System Purpose of Data Usage Source of data Process for data acquisition. Survey 21/43 Files . Tool How to Do Next ?. Present Situation. Data Syste m Data Overflow

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Usage MCH data for develop MCH System in the region

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  1. Usage MCH data for develop MCH System in the region Dr.ChollatitUrairoekkun

  2. Contents: • Present Situation • Data System • Purpose of Data Usage • Source of data • Process for data acquisition. • Survey • 21/43 Files. • Tool • How to Do Next ?

  3. Present Situation • Data System • Data Overflow • Information shortage • Knowledge not adequate to solve problem. • Existing Wisdom not work due to demographic and environmental change. • Implementation. • Work load increase , Budget inadequate • Wait and see , Bark not bite

  4. Data System. Wisdom Reuse /Reuse ….. Reuse Knowledge Knowledge Put Meaning Information Information Information Processing Processing Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data Data

  5. Purpose of Data Usage • Survey Situation. • Planning. • Evaluation. • Monitoring • Directing • Controlling • Evaluation.(Project /Program/ Measure/Strategy) • Surveillance.-->Disease Control

  6. Compare Meaning

  7. Source of Data • Primary Data • 21/43 Files (Hospital Base) • Surveillance (506) • Survey. • Secondary Data. • Report. • Research

  8. Surveydistribution • Census • Sampling. • Random Sampling. • Stratified Sampling (Male/Female,Urban/Rural) • Cluster Sampling. • Stratified Cluster Sampling. • Sample Size. • Effective Sample size Random Sampling • Effective Sample size x Design Effect Estimate value of Design Effect in Public Health = 2 / Level of Cluster

  9. Sample Size Calculation

  10. Random Sampling

  11. 30 Cluster Sampling

  12. Study Distribution &Determinant • Type of Study. • Prospective or Cohort • Retrospective • Cross Sectional • Sample size Calculation Depend on • Type of Study. • Prevalence of Exposure • Odds ration or Relative risk

  13. Unmatched Case Control

  14. 21/43 Files System

  15. Community Base / Hospital Base Hospital Base Population : DB pop = Person Many Data Community base # Population base

  16. Transform Data to Standard Form (text) Database Standard Form (text) Excel SPSS

  17. Database (MySQL,SQL,ACCESS)

  18. SPSS ->Open or Save to Excel/database

  19. 21/43 Files Management • Processing Create Report by Query database. • Sent data or report • Sent Report to Provincial Data Center to compare among hospital. • Sent data to Provincial data center to Create Report and compare among hospital • Sent Report to Regional Data Center for compare among provinces. • Sent data to Regional Data Center to create report and Compare among Provinces. • Problem : Who Development Query Code. • Programmer knew only Machine Code. • Professional Knew only Technical Term

  20. Tools • Survey Data Processing Tool • SQL Query software • Epi Info • SPSS / Strata /SAS • 21/43 Files Processing Tool • SQL query software • Use Hosxp , JHCIS to build Reports • Data ware house Software I anlysis

  21. What and How to do next • Set up Team for Processing existing data. • Hospital Team. • Provincial Team • Regional Team. • Training Personnel for • Processing data. • Effective read or intepreat data. • Effective Utilized data for planning , Directing ,Controlling , CQI • Regional MCH Knowledge Center

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