Building Analytic Capacity, Facilitating Partnerships, and Promoting Data Use in State Health Agencies: A Distance-Based Workforce Development Initiative Applied to Maternal and Child Health Epidemiology
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The purpose of this article is to summarize the methodology, partnerships, and products developed as a result of a distance-based workforce development initiative to improve analytic capacity among maternal and child health (MCH) epidemiologists in state health agencies. This effort was initiated by the Centers for Disease Control’s MCH Epidemiology Program and faculty at the University of Illinois at Chicago to encourage and support the use of surveillance data by MCH epidemiologists and program staff in state agencies. Beginning in 2005, distance-based training in advanced analytic skills was provided to MCH epidemiologists. To support participants, this model of workforce development included: lectures about the practical application of innovative epidemiologic methods, development of multidisciplinary teams within and across agencies, and systematic, tailored technical assistance The goal of this initiative evolved to emphasize the direct application of advanced methods to the development of state data products using complex sample surveys, resulting in the articles published in this supplement to MCHJ. Innovative methods were applied by participating MCH epidemiologists, including regional analyses across geographies and datasets, multilevel analyses of state policies, and new indicator development. Support was provided for developing cross-state and regional partnerships and for developing and publishing the results of analytic projects. This collaboration was successful in building analytic capacity, facilitating partnerships and promoting surveillance data use to address state MCH priorities, and may have broader application beyond MCH epidemiology. In an era of decreasing resources, such partnership efforts between state and federal agencies and academia are essential for promoting effective data use.
- Kroelinger, C. (2012). Collaboration at the federal, state, and local levels to build capacity in maternal and child health: the impact of the Maternal and Child Health Epidemiology Program. Journal of Women’s Health, 21(5), 471–475. CrossRef
- Blabey, M., Locke, E., Goldsmith, Y., & Perham-Hester, K. (2009). Experience of a controlling or threatening partner among mothers with persistent symptoms of depression. American Journal of Obstetrics and Gynecology, 201(2), e1–e9. CrossRef
- Ogbuanu, C., Goodman, D., Kahn, K., Noggle, B., Long, C., Bagchi, S., et al. (2012). Factors associated with parent report of access to care and the quality of care recieved by children 4 to 17 years of age in Georgia (Suppl 1):S129–S42.
- Carle, A. C. (2009). Fitting multilevel models in complex survey data with design weights: recommendations. BMC Medical Research Methodology, 9, 49. CrossRef
- Merlo, J., Chaix, B., Ohlsson, H., Beckman, A., Johnell, K., Hjerpe, P., et al. (2006). A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. Journal of Epidemiology and Community Health, 60(4), 290–297. CrossRef
- Valeri, L, VanderWeele, T. J. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychological Methods, in press. (obtained via personal correspondence).
- VanderWeele, T. J., & Vansteelandt, S. (2010). Odds ratios for mediation analysis for a dichotomous outcome. American Journal of Epidemiology, 172(12), 1339–1348. CrossRef
- Centers for Disease Control and Prevention. (2011). Behavioral risk factor surveillance system annual survey data [cited 2012 August 28]; Available from: http://www.cdc.gov/brfss/technical_infodata/surveydata.htm.
- Building Analytic Capacity, Facilitating Partnerships, and Promoting Data Use in State Health Agencies: A Distance-Based Workforce Development Initiative Applied to Maternal and Child Health Epidemiology
Maternal and Child Health Journal
Volume 16, Issue 2 Supplement, pp 196-202
- Cover Date
- Print ISSN
- Online ISSN
- Springer US
- Additional Links
- Workforce development
- Analytic capacity
- Professional development
- MCH leadership
- Industry Sectors
- Author Affiliations
- 1. Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, IL, USA
- 2. Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA