1 ◄ ◄ Maternal and Infant Health data for California Choose one vital records indicator:  Preterm birth (birth prior to 37 weeks of pregnancy among singletons)

Slides:



Advertisements
Similar presentations
Sources and effects of bias in investigating links between adverse health outcomes and environmental hazards Frank Dunstan University of Wales College.
Advertisements

VITAL DATA Nigel Paneth. FIVE COMPONENTS OF VITAL DATA Vital data are defined as major events in the population that are required by law (in many jurisdictions)
Perinatal Health in Canada: An Overview K.S. Joseph MD, PhD Canadian Perinatal Surveillance System.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved May 14, 2014, from
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved May 14, 2014, from
Prototype Statewide Interactive Mapping Service Preterm birth, Environmental Health Investigations Branch California Department of Health Services.
Statistical approaches for detecting clusters of disease. Feb. 26, 2013 Thomas Talbot New York State Department of Health Bureau of Environmental and Occupational.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved March 25, 2015, from
Measures of Mortality & Mortality in Different Populations
 Statistical approaches for detecting unexplained clusters of disease.  Spatial Aggregation Thomas Talbot New York State Department of Health Environmental.
Nursing 40020: Finding Statistics for Community Assessment Barbara Schloman Libraries & Media Services The presentation is linked here:
Nursing 40020: Finding Statistics for Community Assessment Barbara Schloman Libraries & Media Services
Using Public Health Data to Assess Vulnerability and Cumulative Impacts to Health Jerald A. Fagliano, M.P.H., Ph.D. Environmental and Occupational Health.
Preventing Infant Mortality: What We Know, What We Don’t, and What You Can Do Tom Ivester, MD, MPH UNC School of Medicine Division of Maternal Fetal Medicine.
Compare Outcomes Using all the above specific categories, we could compare 0-4 year-old male Asian mortality rates for asthma with 0-4 Asian female rates.
Problems in Birth Registration What is the National Standard? Why is the data so important? Joanne M. Wesley Office of the State Registrar.
Fetal and Infant Mortality Review (FIMR) Marion County Health Department.
Measuring Epidemiologic Outcomes
BC Jung A Brief Introduction to Epidemiology - IV ( Overview of Vital Statistics & Demographic Methods) Betty C. Jung, RN, MPH, CHES.
St. Clair Health Care Commission Mobilizing for Action through Planning & Partnership Community Health Status Assessment.
P erinatal P eriods o f R isk Analytic Issues: Frequently Asked Data & Analytic Questions A CityMatCH “How-to-Do” Workshop.
Tabulate, chart, map, download: Pre-tabulated health indicators.
Infant Mortality and Issues Relating to Perinatal Reporting U.S. Department of Health and Human Services Centers for Disease Control and Prevention National.
Wisconsin Department of Health Services HIV/AIDS Surveillance Annual Review New diagnoses, prevalent cases, and deaths through December 31, 2013 April.
AUSTRALIAN INDIGENOUS HEALTH. Indigenous population  At 30 June 2011, the estimated Australian Indigenous population was 669,736.  In 2011, NSW had.
22/12/2010 1Dr. Salwa Tayel Demography. 22/12/2010 2Dr. Salwa Tayel Demography Associate Professor Family and Community Medicine Department King Saud.
1. Few published articles reporting PPOR findings  Emphasis generally on blacks and whites PPOR may not be mentioned by name, but fetal- infant deaths.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved August 10, 2015, from.
Chapter 3: Measures of Morbidity and Mortality Used in Epidemiology
Working Together for Stronger, Healthier Babies. Our Mission Fund Research to understand the problem and discover answers. To improve the health of babies.
1 Perinatal Periods of Risk Approach: Tarrant County Experience Anita K. Kurian, MBBS, DrPH Division Manager & Chief Epidemiologist Tarrant County Public.
MATERNAL FETAL POPULATION HEALTH MODULE Integrating Population Health Inquiry Transforms (IPHIT) Family Medicine Northeast Education Afternoon December.
27/10/ Dr. Salwa Tayel (Mortality Rates Nursing)
Crude Rates and Standardisation Standardisation: used widely when making comparisons of rates between population groups and over time (ie. Number of health.
IBIS-Q Tutorial: Secure Query Overview To get to the Secured Data Modules from the main IBIS-PH page, select.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved August 10, 2015, from.
Incorporating Preconception Health into MCH Services
Chapter 2 Lecture Population and Health The Cultural Landscape Eleventh Edition Matthew Cartlidge University of Nebraska-Lincoln.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved October 15, 2015, from.
Massachusetts Births 2005 Center for Health Information, Statistics, Research, and Evaluation Division of Research and Epidemiology Registry of Vital Records.
Hawaii’s Indicator-Based Information System (Hawaii- IBIS) Tutorial How to Build Your Own Reports.
The Impact of Birth Spacing on Subsequent Feto-Infant Outcomes among Community Enrollees of a Federal Healthy Start Project Hamisu M. Salihu, MD, PhD Euna.
PPOR National Reference Group Data Issues June 2006 csg.
Lots of funny looking graphs. Age distribution Dependency ratio: number of people who are too young/old to work compared to the number of productive.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved October 15, 2015, from.
Preterm is less than 37 completed weeks gestation. Source: National Center for Health Statistics, final natality data. Retrieved October 15, 2015, from.
Ethiopia Demographic and Health Survey 2011 Mortality.
© 2010 Jones and Bartlett Publishers, LLC. Chapter 6 General Health and Population Indicators.
Katarina Grande, HIV Surveillance Coordinator Casey Schumann, HIV Epidemiologist Wisconsin Department of Health Services Statewide Action Planning Group.
Chapter 2. **The frequency distribution is a table which displays how many people fall into each category of a variable such as age, income level, or.
Residential Segregation: A Key Connector Between Race and Environmental Health Disparities Jennifer Davis, Sacoby Wilson, Muhammad Salaam, Rahnuma Hassan.
Epidemiological measureas. How do we determine disease frequency for a population?
Explaining the Infant Mortality Increase Marian MacDorman, Joyce Martin, T.J.Mathews, Donna Hoyert, and Stephanie Ventura Division of Vital Statistics.
By:Dr.Yossra K.Al-Robaiaay Assistant professor FICMS (FM)
UOG Journal Club: August 2017
Daniela Nitcheva, PhD Division of Biostatistics PHSIS
QUALITY OF CARE TRENDS FOR CALIFORNIA CHILDREN
Fertility and the family
DEMOGRAPHIC TRANSITION
DEMOGRAPHIC TRANSITION
Bronx Community Health Dashboard: Maternal and Child Health Last Updated: 1/31/2018 See last slide for more information about this project.
College of Applied Medical Sciences
Local Tobacco Control Profiles The webinar will start at 1pm
Key Issues Where is the world population distributed? Why is global population increasing? Why does population growth vary among regions? Why do some regions.
Visualizing Human Geography: At Home in a Diverse World
The Measures of Mortality
Lower Hudson Valley Community Health Dashboard: Maternal and Infant Health in Westchester, Rockland, and Orange counties Last Updated: 3/20/2019.
Mortality rate = No. of deaths * K
VITAL DATA Nigel Paneth.
Presentation transcript:

1 ◄ ◄ Maternal and Infant Health data for California Choose one vital records indicator:  Preterm birth (birth prior to 37 weeks of pregnancy among singletons)  Extremely preterm birth (birth prior to 32 weeks of pregnancy among singletons)  Term low birthweight (birthweight less than 2,500 grams among term singletons)  Very low birthweight (birthweight less than 1,500 grams among singletons)  Infant mortality (death prior to 12 months of age)  Neonatal mortality (death prior to 28 days of age)  Perinatal mortality (fetal deaths after 28 weeks gestation plus infant deaths prior to 7 days of age)  Postneonatal mortality (death between 28 days and 12 months of age)  Fertility (births per 1,000 women of childbearing age)  Sex ratio at birth (the ratio of males to females among live newborns) Choose one year:  1996  1997  1998  1999  2000  2001  2002  2003  2004  2005  2006 Choose one geographic unit:  County  Census tract Maternal and infant health data query To create a table, chart, or map, select from the following list of options: Submit your selection x x x QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes ◄ ◄

2 Modify your query Data Sources & Limitations Information Map Chart►►Table  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP ◄ ◄ Maternal and Infant Health data query ►► Data Sources & Limitations QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

3 ◄◄ Maternal and Infant Health data query Alternative methods for looking at health outcome rates on maps The most common form of health mapping involves calculation of rates for specific geographic unites (counties, census tracts, etc.). Each rate is then assigned to a category represented by a color as dictated by the map legend. Many alternative approaches to health outcome mapping exist, two of which are currently available through the CHETP Portal. Learn about spatial models that produce estimates for areas where data are sparse ◄◄ Learn about continuous rate maps that ignore county or tract boundaries ◄◄ QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us HEALTH DATA Asthma Maternal and Infant Health Cancer Heart Attacks Metadata

4 ◄◄ Alternative methods for looking at health outcome rates on maps Spatial models that produce estimates for areas where data are sparse Why might I be interested in looking at maps like this? Maps of this kind can be helpful if: Areas of the map that interest you have been suppressed because the numbers are too small for the calculation of rates Many of the high and low values that you see in the map are potentially related to random variations rather than genuine geographic disparities The geographic scale that interests you is larger than the units you have; that is, you believe that groups of counties may be put together to demonstrate a regional trend, or a group of census tracts may be put together to show trends within counties What is the name of the method we are using? This approach to mapping is a type of hierarchical Bayesian modeling originally proposed by Besag, York, and Molié (the “BYM approach”). These researchers were motivated by the general problem of image reconstruction, in which random noise needs to be filtered to reveal an underlying image (potentially a disease map but also a satellite or microscopic image). What is the reasoning behind this method? A computer algorithm calculates the degree to which outcomes in spatial units (counties or tracts) appear to be influenced by the outcomes in their neighboring units. Once this is known, the rate for each unit can be updated using information from surrounding units. Units with lots of information (for example, those with large populations), are generally left alone, while those with less information are allowed to be informed by the rates of their neighbors. What results can be considered a “best guess” of what the rates would look like if there were no random variation cluttering up the map image. What else should I know about this method? This method has difficulty representing single counties or tracts with substantially high or low rates (“outliers”) unless the populations in those units are large. Unless these high or low rates are part of a regional trend, they tend to be adjusted towards the population average. QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us HEALTH DATA Asthma Maternal and Infant Health Cancer Heart Attacks Metadata

5 ◄◄ Alternative methods for looking at health outcome rates on maps Continuous rate maps that ignore county or tract boundaries QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us HEALTH DATA Asthma Maternal and Infant Health Cancer Heart Attacks Metadata Why might I be interested in looking at maps like this? Maps of this kind can be helpful if: Only part of the county or region that interests you has people living in it, and you would like to see only that part represented The areas that interest you do not correspond the boundaries of counties or tracts that we have available You are interested in thinking about risk as something that gradually increases and decreases across space, rather than abruptly changing at the boundaries between counties and/or tracts You are not interested in numbers that can describe rates attached to specific geographies, such as counties or tracts What is the name of the method we are using? This approach to mapping calculates a locally-weighted estimator (“loess”) function that is part of a class usually referred to as “non-parametric functions.” What is the reasoning behind this method? Risks for health outcomes are assumed to vary continuously and can be calculated for any point in space; at each point, nearby outcomes are allowed to have more influence in the function’s value than outcomes from farther away. A computer algorithm calculates values for this function at regular intervals (e.g. every half-mile) and then “connects the dots” so the values can be viewed when superimposed on a map. What else should I know about this method? This method is only possible when individual records describing events (such as birth outcomes) and their point locations (such as maternal addresses) are available. Data for which only ZIP codes, census tracts, or cities of residence are known are less amenable to this type of analysis.

6 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP Data Sources & Limitations ◄ ◄ Maternal and Infant Health data query QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

7 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP ◄◄ Maternal and Infant Health data query Data Sources & Limitations QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

8 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP Data Sources & Limitations ◄ ◄ Maternal and Infant Health data query QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

9 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP Data Sources & Limitations ◄ ◄ Maternal and Infant Health data query QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

10 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP Data Sources & Limitations ◄ ◄ Maternal and Infant Health data query QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes

11 Modify your query Data Sources & Limitations Information Map ChartTable  See these data calculated in other ways (explanation of methods here ◄):◄ Produce estimates for areas where data are sparse ◄◄ Continuous rate maps that ignore county or tract boundaries◄◄  See related data (population information)  Request more maternal and infant health information from CEHTP ◄◄ Maternal and Infant Health data query Data Sources & Limitations QUICK LINKS CEHTP Home About CEHTP Environmental Hazards Environmental Exposures Health Other Data Tools and Services Concepts in Tracking Publications & Resources Contact Us MATERNAL AND INFANT HEALTH Prematurity and Growth Retardation Infant Mortality Fertility Sex Ratio at Birth Innovative Approaches to Birth Outcomes Surveillance Resources Maternal and Child Health Frequently Asked Questions about Birth Outcomes