TY - JOUR
T1 - New Jersey maternal mortality dashboard
T2 - An interactive social-determinants-of-health tool
AU - Hutchinson-Colas, Juana
AU - Balica, Adrian
AU - Chervenak, Frank A.
AU - Friedman, Douglas
AU - Locke, Linda Sloan
AU - Bachmann, Gloria
AU - Cheng, Ru Fong Joanne
N1 - Funding Information: Research funding: This work was supported by Johnson & Johnson. Funding Information: Writing assistance was provided by Narender Dhingra, MBBS, PhD, CMPP, of System One, and Maribeth Bogush, MCI, PhD, of InSeption Group, and funded by Janssen Global Services, LLC. Publisher Copyright: © 2022 Juana A. Hutchinson-Colas et al., published by De Gruyter, Berlin/Boston.
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Objectives: The United States maternal mortality (MM) rate is the highest amid developed/industrialized nations, and New Jersey's rate is among the highest. Healthcare professionals, public health officials, and policy makers are working to understand drivers of MM. An interactive data visualization tool for MM and health-related information (New Jersey Maternal Mortality Dashboard [NJMMD]) was recently developed. Methods: NJMMD is an open-source application that uses data from publicly available state/federal government sources to provide a cross-sectional, high-level depiction of potential relationships between MM and demographic, social, and public health factors. Results: MM rates or ratios (maternal deaths/1,000 women aged 15-49 years or 100,000 live births, respectively) are available by year (2005-2017), age (5-year [15-49] periods), and race/ethnicity (non-Hispanic White, Black, or Asian; Hispanic; or other), and by contextual social determinants of health (percent insured; percent covered by Medicaid; difference in nulliparous, term, singleton, vertex Cesarian birth rate from New Jersey goal; number of obstetrician/gynecologists or midwives per capita; and poverty rate). Bar graphs also can be produced with these variables. Conclusions: NJMMD is the first publicly available, interactive, state-focused MM tool that takes into account the intersection of social and demographic determinants of health, which play important roles in health outcomes. Trends and patterns in variables associated with MM and health can be identified for New Jersey and each of its 11 counties, and inform areas of focus for further analysis. Outputs may enable researchers, policy makers, and others to develop appropriate interventions and be better positioned to set benchmarks, allocate resources, and evaluate outcomes.
AB - Objectives: The United States maternal mortality (MM) rate is the highest amid developed/industrialized nations, and New Jersey's rate is among the highest. Healthcare professionals, public health officials, and policy makers are working to understand drivers of MM. An interactive data visualization tool for MM and health-related information (New Jersey Maternal Mortality Dashboard [NJMMD]) was recently developed. Methods: NJMMD is an open-source application that uses data from publicly available state/federal government sources to provide a cross-sectional, high-level depiction of potential relationships between MM and demographic, social, and public health factors. Results: MM rates or ratios (maternal deaths/1,000 women aged 15-49 years or 100,000 live births, respectively) are available by year (2005-2017), age (5-year [15-49] periods), and race/ethnicity (non-Hispanic White, Black, or Asian; Hispanic; or other), and by contextual social determinants of health (percent insured; percent covered by Medicaid; difference in nulliparous, term, singleton, vertex Cesarian birth rate from New Jersey goal; number of obstetrician/gynecologists or midwives per capita; and poverty rate). Bar graphs also can be produced with these variables. Conclusions: NJMMD is the first publicly available, interactive, state-focused MM tool that takes into account the intersection of social and demographic determinants of health, which play important roles in health outcomes. Trends and patterns in variables associated with MM and health can be identified for New Jersey and each of its 11 counties, and inform areas of focus for further analysis. Outputs may enable researchers, policy makers, and others to develop appropriate interventions and be better positioned to set benchmarks, allocate resources, and evaluate outcomes.
KW - United States
KW - data visualization
KW - determinants of health
KW - ethnicity
KW - maternal mortality
KW - race
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U2 - https://doi.org/10.1515/jpm-2021-0673
DO - https://doi.org/10.1515/jpm-2021-0673
M3 - Article
C2 - 35224952
SN - 0300-5577
VL - 51
SP - 188
EP - 196
JO - Journal of Perinatal Medicine
JF - Journal of Perinatal Medicine
IS - 2
ER -