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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
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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
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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
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