This study uses a generalized linear mixed modeling method to quantify community needs with respect to risky adolescent sexual behavior, while adjusting for other community level variables and stabilizing estimates in areas with small populations.
This study illustrates how the application of generalized linear mixed models can provide a solution for community health needs assessment when targeted toward a particular health outcome that needs to be “risk-adjusted” for other non-target community-level variables while also taking into account effects of geographic clustering. This approach allows more objective, data-based, decision making for funding allocation and is a valuable tool for program planning.