Usage MCH data for develop MCH System in the region

Dr.Chollatit Urairoekkun

Contents:

1. Present Situation2. Data System

1. Purpose of Data Usage2. Source of data3. Process for data acquisition.

1. Survey2. 21/43 Files.

4. Tool

3. How to Do Next ?

Present Situation

1. Data System1. Data Overflow2. Information shortage3. Knowledge not adequate to solve problem.4. Existing Wisdom not work due to demographic

and environmental change.

2. Implementation.1. Work load increase , Budget inadequate2. Wait and see , Bark not bite

Data System.

Data

Information

Knowledge

Wisdom

DataDataDataDataData

Information Information

Knowledge

DataDataDataDataDataData

DataDataDataDataDataData

Processing Processing

Put Meaning

Reuse /Reuse ….. Reuse

Purpose of Data Usage

1. Survey Situation.1. Planning.2. Evaluation.

2. Monitoring1. Directing 2. Controlling

3. Evaluation.(Project /Program/ Measure/Strategy)

4. Surveillance.-->Disease Control

Compare MeaningSurvey Monitoring Evaluation Surveillance

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

Surveydistribution

1. Census2. 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 Sampling2. 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 Cohort2. Retrospective3. Cross Sectional

2. Sample size Calculation Depend on1. Type of Study.2. Prevalence of Exposure3. Odds ration or Relative risk

Unmatched Case Control

21/43 Files System

Community Base / Hospital Base

Total

DB pop

Person

HospitalBase

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