APHA, Nov. 2006 Improving the linkage of deliveries over time using vital records and hospital discharge data Mark McLaughlin, Judy Weiss, ScD, Milton.

Slides:

Advertisements

Similar presentations

The Burden of Obesity in North Carolina Obesity-Related Chronic Disease.

Advertisements

Demographic Variations in EHDI Follow-up in New Jersey Kathryn Perko Aveni, RNC, MPH New Jersey Department of Health and Senior Services Trenton, NJ National.

Collecting and Reporting EHDI Data in New Jersey Kathryn Aveni, RNC, MPH Early Hearing Detection and Intervention Program, New Jersey Department of Health.

The Linked PDD-Death Product More than you want to know David Zingmond, MD, PhD Division of General Internal and Health Services Research UCLA School of.

Wisconsin Department of Health Services Richard Miller Research Scientist Wisconsin Office of Health Informatics October 28, 2014 Matching Traffic Crash.

Intimate Partner Violence (IPV) and Women’s Health during Pregnancy Findings from the Rhode Island PRAMS Hanna Kim, Samara Viner-Brown, Rachel.

The NEW Matched Multiple Birth File, Joyce A. Martin, MPH Brady E. Hamilton, PhD Candace M. Cosgrove, MPH Martha L. Munson, MS U.S. Department.

Trends in Mode of Delivery and Neonatal Complications in New Jersey, Neetu J. Jain BHMS MPH Lakota K. Kruse MD MPH Kitaw Demissie MD PhD Meena.

Prenatal Care ..

INFANT MORTALITY ALABAMA 2007 ALABAMA DEPARTMENT OF PUBLIC HEALTH CENTER FOR HEALTH STATISTICS.

Linked Data Products Vital Statistics Death/PDD Presenter: Jan Morgan.

Linking Mortality and Inpatient Discharge Records: Comparing Deterministic and Probabilistic Methodologies Richard Miller Office of Health Informatics.

Children with Orofacial Clefts in Massachusetts: Hospitalization and Associated Costs Emily Lu, MPH 12 th Annual Maternal and Child Health Epidemiology.

Health and Wellness for all Arizonans Arizona Birth Defects Monitoring Program (ABDMP)

Juanita Graham MSN RN Health Services Chief Nurse MS State Dept of Health.

Using ICD Codes and Birth Records to Prevent Mismatches of Multiple Births in Linked Hospital Readmission Data Alison Fraser 1, MSPH, Zhiwei Liu 2, MS,

Maryland Patient Safety Center 3Rs: Risks, Referrals and Readmissions.

Identity Resolution: Identifying Relationships Among Clients Within the Texas Medicaid Program Rick Allgeyer, Ph.D. Strategic Decision Support Financial.

Pregnancy-associated Crashes and Birth Outcomes: Linking birth/fetal death records to motor vehicle crash data Lisa Hyde, Larry Cook Lenora Olson, Hank.

RISK FACTORS ASSOCIATED WITH LOW-BIRTH-WEIGHTS in NORTHEAST FLORIDA Walter Bowman Northeast Florida Regional Council Carol Brady Healthy Start Coalition.

Michigan Newborn Screening & Live Births Records Linkage and Follow-Up of Potentially Un-Screened Infants Steven J. Korzeniewski, MA, MSc, Maternal & Child.

Public/Private Partnerships that Work: Working With Hospitals to Reduce Health Disparities Among Women and Infants Eleanor Padgett District of Columbia.

Epidemiology of Health Care Using Administrative Data To gain understanding re: Health of populations and Use of Health Services.

Michigan Birth Defects Registry Overview and Status.

Risk Factors for Recurrent Shoulder Dystocia, Washington State Hillary Moore, MD University of Washington School of Public Health and Community.

Birth Hospitals’ Role in Access to Early Intervention Services among Drug-Exposed Infants Taletha Derrington, PhD & Milton Kotelchuck, PhD, MPH 141 st.

Improving Perinatal Data— the State Perspective Isabelle Horon, Dr.P.H. Director, Vital Statistics Administration Maryland Department of Health and Mental.

Environmental Public Health Tracking: Some Records are Vital Suzanne K. Condon, Director Bureau of Environmental Health Massachusetts Department of Public.

Uses of Population Censuses and Household Sample Surveys for Vital Statistics in South Africa United Nations Expert Group Meeting on International Standards.

Problems in Birth Registration What is the National Standard? Why is the data so important? Joanne M. Wesley Office of the State Registrar.

Georgia’s Newborn Surveillance & Tracking System (NSTS) Akilah Heggs, MA, CCC-A Susan Bertonaschi, M.S. Elisa Stamey, R.N. Georgia Division of Public Health.

Use Case 16 Care Theme: Maternal & Newborn Health Use Case: Vital Registration and Care Coordination for Newborn Hearing Screening Primary Goal: Demonstrates.

Us Case 5 Delivery Coordination with Vital Records Update, Hearing Screening & Quality Monitoring to Aid Early Pediatric Care Care Theme: Maternal & Newborn.

Birth Certificate and Hospital Discharge Linkage Survey: Results from 52 jurisdictions Shin Y. Kim 1, Sukhjeet Ahuja 2, Caroline Stampfel 3, Dhelia Williamson.

Shae Sutton, PhD South Carolina Department of Health and Environmental Control Division of Biostatistics.

1 Assessing Costs of Births in Varied Settings Laurie Cawthon, MD, MPH Washington State Department of Social and Health Services March 7, 2013 DSHS | Planning,

Maternal Outcomes When a Primary Cesarean is the Only Indication for a Repeat Cesarean Jessica A. Taubner, Eugene Declercq, PhD, Mary Barger, CNM, MPH,

Introducing HealthStats Eleanor Howell, MS Manager, Data Dissemination Unit State Center for Health Statistics February 2, 2012.

報告者王瓊琦. postpartum depression : identification of women at risk.

Health Resources and Services Administration Maternal And Child Health Bureau Healthy Start What’s Happening Maribeth Badura, M.S.N. Dept. of Health and.

Improving Data Quality and Quality Assurance in Newborn Screening by Including the Bloodspot Screening Collection Device Serial Number on Birth Certificates.

Tracking from Birth: Massachusetts Universal Newborn Hearing Screening Program MCHB/CDC Annual Meeting on Successful Statewide EHDI Programs Presenter:

Early Newborn Discharge and Readmission for Mild and Severe Jaundice Jacqueline Grupp-Phelan, James A. Taylor, Lenna L. Liu and Robert L. Davis University.

Safe Motherhood in Massachusetts Pregnancy-associated injury deaths: Violence, substance abuse, and motor vehicle collisions, Massachusetts Department.

12 JUNE 2012 DUE DATA – IMPROVING MIDWIVES’ USE OF DATA AND ACCESS TO INFORMATION JULIE TINDALE-MIDWIFE Maternity Data Update on issues.

The Post-Partum Visit Re-Design Jeanne A. Conry, MD, PhD Chair, ACOG District IX.

Disparities in Part C Early Intervention Service Access for Drug-Exposed Infants with Positive Toxicology Screens at Birth in Massachusetts Taletha Derrington,

February 13, 2002CDC/MCHB1 NATIONAL EHDI MEETING February 13, 2002 MICHIGAN DEPARTMENT OF COMMUNITY HEALTH TRACKING FROM BIRTH.

CDC’s Preemie Act Activities Wanda Barfield, MD, MPH, FAAP Director, Division of Reproductive Health National Center for Chronic Disease Prevention and.

Components of HIV/AIDS Case Surveillance: Case Report Forms and Sources.

Health Information Solutions Gaining Insights through Data Linkage: The VS-PDD Linked Data Files Presenters: Beate Danielsen & Jan Morgan.

Office of Statewide Health Planning and Development Day for Night: Hospital Admissions for Day Surgery Patients in California, 2005 Mary Tran, PhD, MPH.

1 Data Linkage Project Florida’s Newborn Screening Program Gary Sammet Bureau of Vital Statistics.

Promising Tools to Improve Birth Outcomes: PPOR, FIMR, and LAMB Project Shin Margaret Chao, MPH, PhD Kevin Donovan MPH, Cathleen Bemis, MS, Sungching.

THE URBAN INSTITUTE Examining Long-Term Care Episodes and Care History for Medicare Beneficiaries: A Longitudinal Analysis of Elderly Individuals with.

Us Case 5 Vital Registration and Care Coordination for Newborn Hearing Screening Care Theme: Maternal & Newborn Health Use Case 16 Interoperability Showcase.

NAPHSIS Annual Meeting 2014Slide 1 NAPHSIS ANNUAL MEETING | Seattle | June 8-11, 2014 VITAL RECORDS: A CULTURE OF QUALITY Changes to Identity Information.

Incorporating Preconception Health into MCH Services

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.

Gateway to the Future: Improving the National Vital Statistics System St. Louis, MO June 6 th – June 10 th, 2010 Abortion Surveillance in the United States:

Data Linkage Research Conversation Series SA NT DataLink 2015 update and beyond Friday, 4 December 2015 SAHMRI Building, North Terrace Adelaide Chris Radbone,

Linking with Birth Certificate Data to Improve Patient Follow-up in Central Cancer Registries Daixin Yin, Janet Bates, Mark Allen, Lilia O’Conner California.

Roland Gamache, Ph.D., MBA Director, State Health Data Center Indiana State Department of Health.

Racial/Ethnic Disparities in Gestational Diabetes Mellitus in Oregon Monica Hunsberger, MPH, RD, PhD 1, Rebecca J. Donatelle, PhD 2, Kenneth D. Rosenberg,

Daniela Nitcheva, PhD Division of Biostatistics PHSIS

Vital Registration and Care Coordination for Newborn Hearing Screening

Pregnancy risk factors and birth outcomes within Oregon and Idaho’s American Indian/Alaska Native population ( ) Suzanne Zane Maternal and Child.

SCHS and Health Statistics

Virginia Maternal Mortality Data Quality & Data Collection

State Consumer Health Information and Policy Advisory Council Meeting

Presentation transcript:

APHA, Nov Improving the linkage of deliveries over time using vital records and hospital discharge data Mark McLaughlin, Judy Weiss, ScD, Milton Kotelchuck, MPH, PhD, MA, Stephen Evans, MPH Boston University School of Public Health Dept. of Maternal and Child Health Boston, MA, November 6, 2006 Contact info:

APHA, Nov Why link successive deliveries? Create a reproductive history of individual women to study, for example: –Risk of maternal and infant morbidity –Risk & consequences of premature birth –Impact of OB practices (e.g., method of delivery) on subsequent birth outcomes Past linkage efforts in the US have been limited and/or have ended –Birth certificates +/- fetal death certificates Need for improved ‘case-finding’ methods to capture most complete maternal linkage possible

APHA, Nov Pregnancy to Early Life Longitudinal (PELL) Data System CDC-funded collaborative project MCH Dept. Boston Univ. School of Public Health MA Department of Public Health (MDPH) A population-based relational data system connected by unique identifiers for infants, deliveries and mothers Consists of a Core plus additional program and other surveillance data Is longitudinal and expandable

APHA, Nov PELL Data System Early Intervention WIC (2006) Emergency Department Other Future Data Sets (e.g., School, ‘ART’, NICU, Medicaid) CORE Other DPH programs (future) Geocoded birth data (2006) Non-birth hospital discharge Birth Certificate Hospital Discharge (HD) Mother’s delivery Fetal DeathHospital Discharge (HD) Child’s birth Program Participation Data Observational Stays Health Services Utilization Data Vital and Health Status Data Linked birth-infant deaths Child and Mother deaths Birth Defects Registry Pregnancy-associated deaths Newborn Hearing Screening (2006) 2000 Census (2006) Other contextual data (e.g., environmental data) Contextual Data

APHA, Nov PELL Core Data Sets Birth and Fetal Death Certificate with Hospital Discharge Maternal Delivery Record and Child Birth Record Birth Certificate Hospital Discharge (HD) Mother’s delivery Fetal DeathHospital Discharge (HD) Child’s birth CORE

APHA, Nov Creation of PELL Core Linkages Birth/fetal death to Hospital records Deterministic and probabilistic linkage methodology using LinkPro 2.0 (SAS- based) software Core Linkage Variables: –Facility code –Maternal Date of Birth –Date of Delivery –Zipcode No Unique Identifier

APHA, Nov PELL Core Data Linkage Rates ,442 occurrence live births and fetal death records –Overall, 98.6% linked to maternal hospital delivery record –77.8% of fetal deaths linked to maternal hospital delivery record Now that the data are linked…

APHA, Nov …can we create a better maternal linkage? Is there a way to combine Vitals (both births and fetal deaths) and Hospital Discharge data to create a more robust maternal linkage?

APHA, Nov Creation of longitudinally-linked delivery data 3-step process using vital records and HD data individually and jointly Step 1: identify unique women within each data source and count the number of deliveries per woman –Vitals linkage based on names, DOB –HD linkage based on encrypted SSN and/or facility code plus medical record number

APHA, Nov Example Hospital Discharge UHIN*MRN**DOB XZ /16/70 XZ /16/70 XZ /16/70 # of delivs Vitals First name Last name DOB JudyMiller11/16/70 JudyMiller11/16/ # of delivs 2 2 * Encrypted SSN ** Medical record number

APHA, Nov Creation of longitudinally-linked delivery data Step 2: Merge vital records and HD data by delivery and compare the number of deliveries –Three scenarios Both classify equal number of deliveries (92.8%) Vitals classifies more deliveries than HD (5.5%) HD classifies more deliveries than Vitals (1.7%) Accept whichever data (Vitals or HD) classified more deliveries

APHA, Nov Example Vitals data First name Last name DOBDelivery date JudyMiller11/16/706/1/98 JudyMiller11/16/7012/1/00 Hospital Discharge data UHINMRNDOBDelivery date XZ /16/706/1/98 XZ /16/7012/1/00 XZ /16/709/1/02JudiMillar11/16/709/1/02

APHA, Nov Creation of longitudinally-linked delivery data Step 3: Assess validity of linkages –Validate names Compare names from first delivery to names from all subsequent deliveries using SPEDIS function in SAS Women with at least one name that appears significantly different (score>30) are flagged for manual review When reviewing names, judgment of validity is made based on names, dates, parity, and other demographic variables Review performed by two people and compared

APHA, Nov Examples Correct maternal link First nameScoreLast nameScoreDelivery dateParity Judy0Miller06/1/981 Judy0Miller012/1/002 Judi25Millar169/1/023 Incorrect maternal link First nameScoreLast nameScoreDelivery dateParity Jennifer0Smith03/1/981 Jennifer0Smyth209/1/992 Barbara104Jones1209/5/995

APHA, Nov Creation of longitudinally-linked delivery data Step 3, cont’d: Assess validity of links –Validate short inter-pregnancy intervals Calculate the time between deliveries Women with short delivery intervals (<250 days) are output for review Review performed by two people and compared –After review, maternal ID is assigned

APHA, Nov Creation of longitudinally-linked delivery data RESULTS ( ): 427,817 unique women identified 122,094 women found with >1 delivery –118,860 women found with >1 delivery in Vitals alone –114,014 women found with >1 delivery in HD alone 2.7% more women with >1 delivery than Vitals alone ~500 women with >1 delivery saw additional increase in deliveries

APHA, Nov Practical Challenges Incomplete information –Early fetal losses (prior to 20 weeks) –Non-occurrence fetal deaths –Births to women who move out of state Initial linkage can be time consuming (if spanning several years) –Subsequent years require less time – records reviewed each year

APHA, Nov Conclusions Using 3 data sources (births, fetal deaths, hospital discharge data) provides a more complete reproductive history than births and fetals alone Validation of linkages makes final data linkage more robust Longitudinally-linked delivery data provide a rich source for exploration of MCH issues

APHA, Nov Caveats Vitals data –Name changes (marriage, divorce, etc.) –Spelling errors, typographical errors Hospital Discharge data –Only includes births in MA hospitals (no home births, out of state births, most births at birthing centers –Encrypted SSN (UHIN) sometimes missing (n=32,963 [5.6%]) so reliance on medical record number and assumption that woman goes to the same hospital –No Hospital Discharge data on unlinked deliveries (n=14,021 [2.5%])