1. Factors Associated with Improved MCH Epidemiology Functioning in State Health Agencies.
- Author
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Rosenberg, Deborah, Herman-Roloff, Amy, Kennelly, Joan, and Handler, Arden
- Subjects
CHILD health services ,GOVERNMENT agencies ,ANALYSIS of variance ,CONCEPTUAL structures ,CONFIDENCE intervals ,EPIDEMIOLOGY ,INTERVIEWING ,MEDICAL care ,NEEDS assessment ,SCIENTIFIC observation ,RESEARCH funding ,STATISTICAL sampling ,TELEPHONES ,LOGISTIC regression analysis ,DATA analysis - Abstract
This paper discusses characteristics that are associated with enhanced maternal and child health (MCH) epidemiology functioning in state health agencies. The concept of the 'MCH Epidemiology Effort' is introduced as 'the epidemiologic work carried out by multiple units and agencies aimed at informing program planning and policy development on behalf of women, children and families.' This concept focuses attention on MCH epidemiology functioning at the organizational level rather than on individual MCH epidemiologists. The analysis used data from all 50 states and the District of Columbia. Each state participated in a telephone interview and submitted material that demonstrated the breadth, depth, and capacity of its MCH Epidemiology Effort. Several organizations, including the Council for State and Territorial Epidemiologists, the Health Resources and Services Administration/Maternal and Child Health Bureau, and the Centers for Disease Control and Prevention provided additional secondary data. The outcome for analysis was a three-category measure of MCH epidemiology functioning. The findings are consistent with, and add specificity to, those from prior assessments. In a multivariable model, agenda-setting by consensus, involvement of external stakeholders, the total of doctorally trained staff, and accessing CDC assignees or other staff were all significantly related to higher level MCH epidemiology functioning (ORs of 6.1, 6.6, 2.5, and 6.4, respectively; P < 0.05). Organizational visibility of the MCH Epidemiology Effort and a data environment marked by routine data-sharing and data integration were marginally related. We provide recommendations for action at the state and federal level for advancing evidence-based decision-making in maternal and child health. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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