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IDENTIFYING & EVALUATING DATA SOURCES

Further Information

Identifying data sources and making a decision regarding their suitability for asthma monitoring are the main tasks for this phase of the work program. Initially, once a data source is identified, it is then aligned with the indicator(s) that it may be able to monitor.


There are two stages to this process - Data Description (Table 1), and Data Source Assessment (Table 2).

Table 1: Preliminary Criteria for Data Description

Criteria

Description

Asthma definition

Factors used to determine an asthma case

Coverage

Is data available for Local Area, State, Nationally

Sampling method

Method for selecting population

Population

Target population for the study

Sample Size

Size of the sample in the study

Frequency/year of study/survey /Time Series available

When the study was conducted and how often, to give an indication of availability of time series data

Completeness of data

Response rate

Disaggregation

Age, Sex, ATSI, Ethnicity, SES, Geographic Area

Based on criteria developed by PHIDU for the Nationwide Chronic Disease and Associated Risk Factor Information and Monitoring System

 

Table 2: Preliminary Criteria for Data Source Assessment

Criteria

Description

Acceptability

Willingness of data source custodians to participate in a monitoring system for asthma.

Completeness of data

Proportion of all people with asthma who are identified by the data source

Sensitivity to changes over time

Ability of the data source to pick up changes over time

Predictive value positive

Proportion of persons identified as cases who actually have asthma

Representativeness

Whether the person with asthma in the data source are representative of people with asthma in the population

Timeliness

Time taken from data collection to data availability and the availability of time series data for trends

Based on monitoring criteria developed by Klaucke, DN., for evaluating public health surveillance