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Perinatal Periods of Risk Office of Epidemiology & Community Health Monitoring Kansas City, Mo, Health Department. PPOR Literature. Few published articles reporting PPOR findings Emphasis generally on blacks and whites
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Perinatal Periods of RiskOffice of Epidemiology & Community Health MonitoringKansas City, Mo, Health Department
PPOR Literature • Few published articles reporting PPOR findings • Emphasis generally on blacks and whites • PPOR may not be mentioned by name, but fetal-infant deaths are distributed using the PPOR matrix • Kitagawa analysis generally lacking • Other phase 2 analyses may be lacking • Kansas City, Mo, Health Department has published four (4) papers in recent years
Cai J et al. Perinatal Periods of Risk: analysis of fetal-infant mortality rates in Kansas City, Missouri. Matern Child Health J 2005;9(2):199-205 • Report on PPOR for Kansas City, Mo • Kitagawa analysis • Other phase 2 analyses • Restricted to non-Hispanic blacks and whites • No discussion of community efforts other than mention of a limited FIMR project and a Child Fatality Review Program for one of the counties in which KCMo is situated • KCMo is part of 4 different counties
Cai J et al. Perinatal Periods of Risk analysis of infant mortality in Jackson County, Missouri. J Public Health Manage Pract 2007;13(3):270-277 • Restricted to non-Hispanic blacks and whites • Kitagawa analysis (methodology shown in Appendix) • Other phase 2 analyses • Jackson County is 2nd most populous county in Mo • Approximately 50% of population lives in Kansas City • Demography quite different between city residents and non-city residents • Demonstrated geographic and racial differences in fetal-infant mortality • Geographic differences suggested that different intervention strategies may have to be used
Guillory VJ et al. Secular trends in excess fetal and infant mortality using Perinatal Periods of Risk Analysis. J Natl Med Ass 2008;100(12):1450-1456 • Restricted to non-Hispanic blacks and whites in KCMo • Kitagawa analysis • Other phase 2 analyses • Compared PPOR findings for 1996-2000 to those for 2001-2005 • Demonstrated 30% reduction in excess fetal-infant mortality overall (17.0% for blacks, 66.7% for whites) • Nearly doubled the disparity ratio between the two groups
Hoff GL et al. Excess Hispanic fetal-infant mortality in a Midwestern community. Public Health Rep 2009;124(5):711-717 • Used 5 county area of Missouri and Kansas • Kitagawa analysis • Goal was to look at Hispanic fetal-infant mortality • 92.4% of Hispanic population in the Kansas City-Overland Park-Kansas City, MO-KS, CSA resided in the 5 counties • 7.8% of population in the 5 counties; 77.0% of Mexican heritage • Hispanic and non-Hispanic white fetal-infant mortality rates similar; half that of non-Hispanic blacks • Excess Hispanic mortality (91%) concentrated in the MHP category • Interventions would have different focus
PPOR Analytic Purpose • Perinatal Periods of Risk (PPOR): A Useful Tool for Analyzing Fetal and Infant Mortality • PPOR analysis is an approach to investigating and monitoring causes of fetal and infant deaths. • The purpose of PPOR analyses is to change in community direction and priorities for reducing fetal and infant deaths. • Kitagawa analysis is to identify excess deaths due to birthweight distribution or due to birthweight-specific mortality. Mainly, it is used to partition the excess in Maternal Health/Prematurity
Analytic Preparation • Access and process fetal and infant death, live birth, and linked birth-infant death data files • Quality of data: assess to miss % of gestational week, birthweight (grams), education, and race/ethnicity
Phases • Phase I Analysis: • Identifies subpopulations and periods of risk with the largest excess fetal and infant deaths • Phase II Analysis: • Explains why the excess deaths occurred and directs prevention efforts
Published in Public Health Reports Table 3* using percentages of very low birthweight contribution instead of percentages of total excess MHP Percent attributable Percent attributable to Very low birthweight to birthweight birthweight- specific (500-1,499 grams) distribution mortality White 93.7% (41.5/44.3) 6.3% (2.8/44.3) Black 100% 0% Hispanic 90.8% (85.0/93.6) 9.2% (8.6/93.6) For example, among Hispanic, 91% is attributable to birthweight frequency, therefore, the target improvements should focus on reducing birthweight frequency. *Table 3 is from page 715, Public Health Reports/ Sept-Oct. 2009/Volume 124
Kitagawa Table for birthweight—Target population Kitagawa Table for birthweight—Reference population
Birthweight-specific components for the absolute differencein overall feto‑infant mortality rates between populations due to birthweight distribution and feto‑infant mortality rates Birthweight-specific components for the percentage difference in overall feto‑infant mortality rates between populations due to birthweight distribution and feto‑infant mortality rates
Conclusion • Of the overall excess of 8.5, the majority (62.2%) is attributable to birthweight frequency in the target population. The high rate of live births and fetal deaths of 500-749 grams birthweight alone contributes 24.7% to the overall excess. The overall contribution of VLBW is 4.0, of which 4.2 (100%) is attributable to difference in birthweight frequency and -0.2 – to negative difference in the birthweight-specific mortality. Clearly, in addressing Maternal Health/ Prematurity excess, special attention should be directed to reducing the percentage of very low birthweight.
Perinatal Periods of Risk (PPOR) Analysis of Feto-Infant Mortality Rates in Kansas City, Missouri, 1996-2000 vs. 2001-2005
Map Feto-Infant Mortality Post neonatal Neonatal Fetal Maternal Health/ Prematurity 500-1499 g Maternal Care Newborn Care Infant Health 1500+ g
Map Feto-Infant DeathsBlacks, KCMO, 1996-2000 vs. 2001-2005 1996-2000 Maternal Health/ Prematurity 84 210 fetal and infant deaths. Total fetal deaths and live births: 12,795 Maternal Care 37 Newborn Care 23 Infant Health 66 2001-2005 Maternal Health/ Prematurity 81 190 fetal and infant deaths. Total fetal deaths and live births: 13,154 Maternal Care 40 Newborn Care 24 Infant Health 45
Focus on Overall Feto-Infant MortalityBlacks, KCMO, 1996-2000 vs. 2001-2005 1996-2000 Maternal Health/ Prematurity 6.5 Total feto-infant mortality rate:16.4 =(210/12,795)x 1000 Maternal Care 2.9 Newborn Care 1.8 Infant Health 5.2 2001-2005 Maternal Health/ Prematurity 6.2 Total feto-infant mortality rate:14.4 =(190/13,154)x 1000 Maternal Care 3.0 Newborn Care 1.8 Infant Health 3.4
KCMO Blacks KCMO Blacks U.S. Reference U.S. Reference Excess Excess 6.2 6.5 2.2 2.2 4.3 4.0 - - = = 3.0 2.9 1.8 1.8 5.2 3.4 1.5 1.5 1.1 1.1 1.0 1.0 1.4 1.5 0.7 0.7 4.2 2.4 - - = = 16.4 14.4 5.8 5.8 10.6 8.6 Excess Feto-Infant MortalityBlacks, 1996-2000 vs. 2001-2005 1996-2000 2001-2005
Percentage of Excess Black Feto-Infant Mortality, KCMO. 1996-2000 vs. 2001-2005 1996-2000 2001-2005 Total Excess Deaths =136 Total Excess Deaths =113
Feto-Infant Mortality: Contribution of the Birthweight Distribution and Birthweight-Specific Mortality-Blacks KCMO. 1996-2000 vs. 2001-2005 1996-2000 2001-2005 A. Overall Excess Rates B. Maternal Health/Prematurity Excess Rates
Phase 2 Analysis: Maternal Health /Prematurity Risk and Preventive Factors Birthweight Distribution (VLBW Births: 500-1499 grams) in Kansas City, MO 2001-2008
Kansas City FIMR Results (2005-2009) • Maternal Health and Prematurity (N=44) • 43% Preterm labor • 46% Smoking • 32% Substance abuse • 11% Alcohol use • 34% 1st trimester care • 14% Teen mothers • 73% multiple pregnancies • 36% Maternal STDs • 30% Maternal bacterial infection • 18% Maternal HTN/diabetes • 17% History of fetal/infant loss
Black Infant Mortality Rates, Infant Health Category, Kansas City, MO. 1996-2000 vs. 2001-2005 During 2006-2008, the rate remained 3.4 deaths per 1,000 live births at the same category.
Contact Information • Jinwen Cai, MD • Biostatistician, Office of Epidemiology & Community Health Monitoring • Jinwen_cai@kcmo.org • 816.513.6044 • Gerald L Hoff, PhD, FACE • Epidemiologist & Manager, Office of Epidemiology & Community Health Monitoring • Gerald_hoff@kcmo.org • 816.513.6149