Abstract
Concern regarding the removal of African American children from their homes in McLean county and Peoria County Illinois, and placing them into Foster care have been the center of considerable debate and concern in the state of Illinois. As a result, a county-level (McLean and Peoria counties) investigation and intervention was performed. To evaluate the success of this intervention, we developed a mixed-effects Poisson regression model for the analysis of these data, and used it to obtain case-mix adjusted empirical Bayes estimates of county-specific changes (2000–2002) in Foster care placement rates in all counties in the state of Illinois. Results of the analysis revealed that four out of the 85 counties with African American residents in the state of Illinois exhibited significant decreases in Foster care placement rates relative to the change in the overall state-wide rate between 2000 and 2002. The two counties that received the intervention (McLean and Peoria) were among the four counties out of 85 counties that exhibited significant decreases in Foster care placement rates (OR = 14.7, P < 0.0001). Conceptual and statistical aspects of this type of statistical profiling are presented and discussed.
Similar content being viewed by others
References
Bock, R.D., Aitkin, M.: Marginal maximum likelihood estimation of item parameters: an application of the EM algorithm. Psychometrika 46, 443–459 (1981)
Bell, C.C., Gamm, S., Vallas, P., Jackson, P.: Strategies for the prevention of youth violence in Chicago Public Schools. In: Shafii, M., Shafii, S. (eds.) School Violence: Contributing Factors, Management, and Prevention, pp. 251–272. American Psychiatric Press, Washington, DC (2001)
Berkhof, J., Snijders, T.A.B.: Variance component testing in multilevel models. J. Educ. Behav. Stat. 26, 133–152 (2001)
Hedeker, D., Gibbons, R.D.: Longitudinal Data Analysis. Wiley, New York (2006)
Liang, K.Y., Zeger, S.L.: Longitudinal data analysis using generalized linear models. Biometrika 73, 13–22 (1986)
Longford, N.T.: Logistic regression with random coefficients. Comput. Stat. Data Anal. 17, 1–15 (1994)
Redd, J., Suggs, H., Gibbons, R., Muhammad, L., McDonald, J., Bell, C.C.: The Bloomington model: a plan to strengthen families and decrease the need for protective custody. Illinois Child Welfare 2(1&2), 34–46 (2005)
Scientific Software International. SuperMix—A Program for Mixed-effects Regression Models, by Donald Hedeker and Robert D. Gibbons (2006)
Thomas, N., Longford, N.T., Rolph, J.: A statistical framework for severity adjustment of hospital mortality rates. Working paper, RAND, Santa Monica, CA (1992)
Zeger, S., Liang, L.: Longitudinal data analysis using generalized linear models. Biometrika 73, 13–22 (1986)
Acknowledgements
Support for this work was provided by NIMH grant MH65556, and NIMH SBIR Award N44MH32056. We are indebted to the two anonymous reviewers for their helpful comments on the original version of the manuscript.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gibbons, R.D., Hur, K., Bhaumik, D.K. et al. Profiling of county-level foster care placements using random-effects Poisson regression models. Health Serv Outcomes Res Method 7, 97–108 (2007). https://doi.org/10.1007/s10742-007-0019-2
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10742-007-0019-2