Download Usage MCH data for develop MCH System in the region

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.
2.
3.
4.
Data Overflow
Information shortage
Knowledge not adequate to solve problem.
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.
Wisdom
Reuse /Reuse ….. Reuse
Knowledge
Knowledge
Put Meaning
Information
Information
Processing
Data
Data
Data
Data
Data
Data
Information
Processing
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
Data
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
Survey
Data Collection
Systematic
Continuity (Trend)
Information Feedback
Risk Group (Distribution)
Cause or Determinants
Response
Wait and See (bark)
Response team (bite)
Lesson Learned
Monitoring
Evaluation
Surveillance
Source of Data
• Primary Data
– 21/43 Files (Hospital Base)
– Surveillance (506)
– Survey.
• Secondary Data.
– Report.
– Research
Surveydistribution
1. Census
2. Sampling.
1.
2.
3.
4.
Random Sampling.
Stratified Sampling (Male/Female,Urban/Rural)
Cluster Sampling.
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
• Community
• Hospital
DB pop
• Community
• Hospital
Person
• 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)
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