Core State Preconception Health Indicators: A Voluntary, Multi-state Selection Process

被引:0
|
作者
Danielle L. Broussard
William B. Sappenfield
Chris Fussman
Charlan D. Kroelinger
Violanda Grigorescu
机构
[1] Applied Epidemiology Fellowship Program,Centers for Disease Control and Prevention/Council of State and Territorial Epidemiologists
[2] Florida Department of Health,Maternal and Child Health Practice and Analysis Unit, Bureau of Family and Community Health, Division of Family Health Services
[3] Michigan Department of Community Health,Division of Genomics, Perinatal Health & Chronic Disease Epidemiology
[4] Delaware Department of Health and Social Services,Center for Family Health Research and Epidemiology, Division of Public Health
来源
关键词
Health indicators; Preconception health; Public health surveillance; Reproductive health; Women’s health;
D O I
暂无
中图分类号
学科分类号
摘要
This report describes the consensus-based selection process undertaken by a voluntary committee of policy/program leaders and epidemiologists from seven states to identify core state indicators to monitor the health of reproductive age women (aged 18–44 years). Domains of preconception health were established based on priority areas within maternal and child health and women’s health. Measures (i.e., potential indicators) addressing the domains were identified from population-based, state level data systems. Each indicator was evaluated on five criteria: public health importance, policy/program importance, data availability, data quality, and the complexity of calculating the indicator. Evaluations served as the basis for iterative voting, which was continued until unanimous consent or a super majority to retain or exclude each indicator was achieved. Eleven domains of preconception health were identified: general health status and life satisfaction; social determinants of health; health care; reproductive health and family planning; tobacco, alcohol and substance use; nutrition and physical activity; mental health; emotional and social support; chronic conditions; infections; and genetics/epigenetics. Ninety-six possible indicators were identified from which 45 core indicators were selected. The scope of preconception care and the public health components to address preconception health are still under development. Despite this challenge and other measurement limitations, preconception health and health care indicators are urgently needed. The proposed core indicators are a set of measures that all states can use to evaluate their preconception health efforts. Furthermore, the indicators serve as a basis for improving the surveillance of the health of reproductive age women.
引用
收藏
页码:158 / 168
页数:10
相关论文
共 50 条
  • [31] Boosting multi-state models
    Reulen, Holger
    Kneib, Thomas
    LIFETIME DATA ANALYSIS, 2016, 22 (02) : 241 - 262
  • [32] Multi-state Component Importance Analysis Using Multi-state Multi-valued Decision Diagrams
    Shrestha, Akhilesh
    Xing, Liudong
    Coit, David W.
    PROCEEDINGS OF 2009 8TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY, VOLS I AND II: HIGHLY RELIABLE, EASY TO MAINTAIN AND READY TO SUPPORT, 2009, : 99 - +
  • [33] Multi-state Discriminative Video Segment Selection for Complex Event Classification
    Banerjee, Prithviraj
    Nevatia, Ram
    COMPUTER VISION - ACCV 2014, PT V, 2015, 9007 : 162 - 177
  • [34] Multi-State Commitment search
    Kitamura, Y
    Yokoo, M
    Miyaji, T
    Tatsumi, S
    TENTH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 431 - 439
  • [35] MULTI-STATE REVOLVING CREDIT
    ILLIG, C
    BUSINESS LAWYER, 1969, 25 (01): : 271 - 285
  • [36] Multi-state Modeling of Biomolecules
    Stefan, Melanie I.
    Bartol, Thomas M.
    Sejnowski, Terrence J.
    Kennedy, Mary B.
    PLOS COMPUTATIONAL BIOLOGY, 2014, 10 (09)
  • [37] TRAJECTORIES OF CHANGES IN HEALTH STATUS USING A MULTI-STATE MODEL
    Silva, F. G. Pena
    Gahbauer, E. A.
    Gill, T. M.
    Mitnitski, A. B.
    GERONTOLOGIST, 2013, 53 : 168 - 168
  • [38] Core State Preconception Health Indicators - Pregnancy Risk Assessment Monitoring System and Behavioral Risk Factor Surveillance System, 2009
    Robbins, Cheryl L.
    Zapata, Lauren B.
    Farr, Sherry L.
    Kroelinger, Charlan D.
    Morrow, Brian
    Ahluwalia, Indu
    D'Angelo, Denise V.
    Barradas, Danielle
    Cox, Shanna
    Goodman, David
    Williams, Letitia
    Grigorescu, Violanda
    Barfield, Wanda D.
    MMWR SURVEILLANCE SUMMARIES, 2014, 63 (03): : 1 - +
  • [39] EVMDD-Based Analysis and Diagnosis Methods of Multi-State Systems with Multi-State Components
    Nagayama, Shinobu
    Sasao, Tsutomu
    Butler, Jon T.
    JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2014, 22 (1-2) : 59 - 78
  • [40] A generalized model selection framework for multi-state failure data analysis
    Patil, Rajkumar Bhimgonda
    Patil, Suyog Subhash
    Gupta, Gajanand
    Bewoor, Anand K.
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2022, 39 (07) : 1637 - 1647