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Using social indicators to estimate county-level substance use intervention and treatment needs.
M Herman-Stahl1, C A Wiesen, R L Flewelling
1Division of Health and Social Policy, Research Triangle Institute, Research Triangle Park, NC 27709-2194, USA. mindy@rt.org
Substance Use & Misuse
|May 11, 2001
Summary
This study developed a model to estimate county-level substance use intervention and treatment needs using social indicators. Key predictors include demographics like young males, urbanicity, and population density for effective community planning.
Area of Science:
- Public Health
- Epidemiology
- Social Science Research
Background:
- Substance use disorders pose significant public health challenges.
- Accurate estimation of intervention and treatment needs at the local level is crucial for resource allocation.
- Existing models may not fully leverage readily available social indicators.
Purpose of the Study:
- To develop and validate a model for estimating county-level substance use intervention and treatment needs.
- To identify key social indicators that predict these needs.
- To provide a tool for public health officials and policymakers.
Main Methods:
- Factor analysis was used to reduce 45 social indicators related to substance misuse.
- Logistic regression models were developed to predict service needs.
- Significant predictors were identified based on statistical significance.
Main Results:
- The percentage of males aged 15-34, urbanicity, and population density were significant predictors of substance use intervention and treatment needs.
- A parsimonious model using these indicators was developed.
- The model demonstrates the feasibility of using accessible data.
Conclusions:
- County-level substance use needs can be effectively modeled using a few key social and demographic variables.
- This approach facilitates efficient and reliable estimation of intervention and treatment requirements.
- The findings support data-driven public health planning for substance misuse.