Analysis

All (3) ((3 results))

• 1. A comparison of approaches to modelling health and environment Archived

  Articles and reports: 11-522-X20020016719

  Description:

  This study takes a look at the modelling methods used for public health data. Public health has a renewed interest in the impact of the environment on health. Ecological or contextual studies ideally investigate these relationships using public health data augmented with environmental characteristics in multilevel or hierarchical models. In these models, individual respondents in health data are the first level and community data are the second level. Most public health data use complex sample survey designs, which require analyses accounting for the clustering, nonresponse, and poststratification to obtain representative estimates of prevalence of health risk behaviours.

  This study uses the Behavioral Risk Factor Surveillance System (BRFSS), a state-specific US health risk factor surveillance system conducted by the Center for Disease Control and Prevention, which assesses health risk factors in over 200,000 adults annually. BRFSS data are now available at the metropolitan statistical area (MSA) level and provide quality health information for studies of environmental effects. MSA-level analyses combining health and environmental data are further complicated by joint requirements of the survey sample design and the multilevel analyses.

  We compare three modelling methods in a study of physical activity and selected environmental factors using BRFSS 2000 data. Each of the methods described here is a valid way to analyse complex sample survey data augmented with environmental information, although each accounts for the survey design and multilevel data structure in a different manner and is thus appropriate for slightly different research questions.

  Release date: 2004-09-13

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• 2. Data accuracy: how good are our usual indicators? Archived

  Articles and reports: 11-522-X20010016231

  Description:

  This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. Its is intended for an audience of survey methodologists.

  In 2000, the Behavioral Risk Factor Surveillance System (BRFSS) conducted monthly telephone surveys in 50 American states, the District of Columbia, and Puerto Rico: each was responsible for collecting its own survey data. In Maine, data collection was split between the state health department and ORC Macro, a commercial market research firm. Examination of survey outcome rates, selection biases and missing values for income suggest that the Maine health department data are more accurate. However, out of 18 behavioural health risk factors, only four are statistically different by data collector, and for these four factors, the data collected by ORC Macro seem more accurate.

  Release date: 2002-09-12

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• 3. Commercial telephone samples and component outcome rates Archived

  Articles and reports: 11-522-X20010016294

  Description:

  This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists. Outcome rates in telephone surveys are usually based on an entire sample. However, telephone samples from commercial sample vendors contain identifiable subsets of records with very different probabilities of obtaining particular dispositions. In such a case, component outcome rates could vary in ways unrelated to rates based on the entire sample. The 2000 Behavioral Risk Factor Surveillance System (BRFSS) survey examines the degree to which selected outcome rates (by state, for different subsets of records) correlate with corresponding global rates. Although correlations tend to be large, not all cases are, making it worthwhile to examine component outcome rates.

  Release date: 2002-09-12

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Articles and reports (3) ((3 results))

• 1. A comparison of approaches to modelling health and environment Archived

  Articles and reports: 11-522-X20020016719

  Description:

  This study takes a look at the modelling methods used for public health data. Public health has a renewed interest in the impact of the environment on health. Ecological or contextual studies ideally investigate these relationships using public health data augmented with environmental characteristics in multilevel or hierarchical models. In these models, individual respondents in health data are the first level and community data are the second level. Most public health data use complex sample survey designs, which require analyses accounting for the clustering, nonresponse, and poststratification to obtain representative estimates of prevalence of health risk behaviours.

  This study uses the Behavioral Risk Factor Surveillance System (BRFSS), a state-specific US health risk factor surveillance system conducted by the Center for Disease Control and Prevention, which assesses health risk factors in over 200,000 adults annually. BRFSS data are now available at the metropolitan statistical area (MSA) level and provide quality health information for studies of environmental effects. MSA-level analyses combining health and environmental data are further complicated by joint requirements of the survey sample design and the multilevel analyses.

  We compare three modelling methods in a study of physical activity and selected environmental factors using BRFSS 2000 data. Each of the methods described here is a valid way to analyse complex sample survey data augmented with environmental information, although each accounts for the survey design and multilevel data structure in a different manner and is thus appropriate for slightly different research questions.

  Release date: 2004-09-13

  ---

• 2. Data accuracy: how good are our usual indicators? Archived

  Articles and reports: 11-522-X20010016231

  Description:

  This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. Its is intended for an audience of survey methodologists.

  In 2000, the Behavioral Risk Factor Surveillance System (BRFSS) conducted monthly telephone surveys in 50 American states, the District of Columbia, and Puerto Rico: each was responsible for collecting its own survey data. In Maine, data collection was split between the state health department and ORC Macro, a commercial market research firm. Examination of survey outcome rates, selection biases and missing values for income suggest that the Maine health department data are more accurate. However, out of 18 behavioural health risk factors, only four are statistically different by data collector, and for these four factors, the data collected by ORC Macro seem more accurate.

  Release date: 2002-09-12

  ---

• 3. Commercial telephone samples and component outcome rates Archived

  Articles and reports: 11-522-X20010016294

  Description:

  This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists. Outcome rates in telephone surveys are usually based on an entire sample. However, telephone samples from commercial sample vendors contain identifiable subsets of records with very different probabilities of obtaining particular dispositions. In such a case, component outcome rates could vary in ways unrelated to rates based on the entire sample. The 2000 Behavioral Risk Factor Surveillance System (BRFSS) survey examines the degree to which selected outcome rates (by state, for different subsets of records) correlate with corresponding global rates. Although correlations tend to be large, not all cases are, making it worthwhile to examine component outcome rates.

  Release date: 2002-09-12

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