Usage MCH data for develop MCH System in the region Dr.Chollatit Urairoekkun.

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Presentation transcript:

Usage MCH data for develop MCH System in the region Dr.Chollatit Urairoekkun

Contents: 1.Present Situation 2.Data System 1.Purpose of Data Usage 2.Source of data 3.Process for data acquisition. 1.Survey 2.21/43 Files. 4.Tool 3.How to Do Next ?

Present Situation 1.Data System 1.Data Overflow 2.Information shortage 3.Knowledge not adequate to solve problem. 4.Existing Wisdom not work due to demographic and environmental change. 2.Implementation. 1.Work load increase, Budget inadequate 2.Wait and see, Bark not bite

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

Purpose of Data Usage 1.Survey Situation. 1.Planning. 2.Evaluation. 2.Monitoring 1.Directing 2.Controlling 3.Evaluation.(Project /Program/ Measure/Strategy) 4.Surveillance.-->Disease Control

Compare Meaning SurveyMonitoringEvaluationSurveillance Data Collection Systematic Continuity (Trend) Information Feedback Risk Group (Distribution) Cause or Determinants Response Wait and See (bark) Response team (bite) Lesson Learned

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

Survey  distribution 1.Census 2.Sampling. 1.Random Sampling. 2.Stratified Sampling (Male/Female,Urban/Rural) 3.Cluster Sampling. 4.Stratified Cluster Sampling. 3.Sample Size. 1.Effective Sample size  Random Sampling 2.Effective Sample size x Design Effect Estimate value of Design Effect in Public Health = 2 / Level of Cluster

Sample Size Calculation

Random Sampling

30 Cluster Sampling

Study  Distribution &Determinant 1.Type of Study. 1.Prospective or Cohort 2.Retrospective 3.Cross Sectional 2.Sample size Calculation  Depend on 1.Type of Study. 2.Prevalence of Exposure 3.Odds ration or Relative risk

Unmatched Case Control

21/43 Files System

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

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

Database (MySQL,SQL,ACCESS)

SPSS ->Open or Save to Excel/database

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

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

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