Literature DB >> 35463943

A comparison of approaches to identify live births using the medicaid analytic extract.

Sara E Heins1, Laura J Faherty2,3, Ashley M Kranz4.   

Abstract

Medicaid claims are an important, but underutilized source of data for neonatal health services research in the United States. However, identifying live births in Medicaid claims data is challenging due to variation in coding practices by state and year. Methods of identifying live births in Medicaid claims data have not been validated, and it is not known which methods are most appropriate for different research questions. The objective of this study is to describe and validate five approaches to identifying births using Medicaid Analytic eXtract (MAX) from 45 states (2006-2014). We calculated total number of MAX births by state-year using five definitions: (1) any claim within 30 days of birth date listed in personal summary (PS) file, (2) any claim within 7 days of PS birth date, (3) live birth ICD-9 in inpatient or other therapies file, (4) live birth ICD-9 code in inpatient file, (5) live birth ICD-9 in inpatient file with matching PS birth date. We then compared the number of MAX births by state and year to expected counts using outside data sources. Definition 1 identified the most births (14,189,870) and was closest to total expected count (98.3%). Each definition produced over- and underestimates compared to expected counts for given state-years. Findings suggest that the broadest definition of live births (Definition 1) was closest to expected counts, but that the most appropriate definition depends on research question and state-years of interest.

Entities:  

Keywords:  Claims analysis; Data quality; Infant health services; Maternal health services; Medicaid

Year:  2021        PMID: 35463943      PMCID: PMC9031796          DOI: 10.1007/s10742-021-00252-w

Source DB:  PubMed          Journal:  Health Serv Outcomes Res Methodol        ISSN: 1387-3741


  11 in total

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Authors:  Heather M Dahlen; J Mac McCullough; Angela R Fertig; Bryan E Dowd; William J Riley
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2.  Medicaid and preterm births in Virginia: an analysis of recent outcomes.

Authors:  Emmanuel A Anum; Sheldon M Retchin; Sheryl L Garland; Jerome F Strauss
Journal:  J Womens Health (Larchmt)       Date:  2010-09-11       Impact factor: 2.681

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Authors:  Marian F MacDorman; Eugene Declercq
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5.  Assessing the usability of MAX 2008 encounter data for comprehensive managed care.

Authors:  Vivian L H Byrd; Allison Hedley Dodd
Journal:  Medicare Medicaid Res Rev       Date:  2013-03-28

6.  Antiretroviral Therapy Use During Pregnancy and the Risk of Small for Gestational Age Birth in a Medicaid Population.

Authors:  Kelesitse Phiri; Paige L Williams; Kate B Dugan; Michael A Fischer; William O Cooper; George R Seage; Sonia Hernandez-Diaz
Journal:  Pediatr Infect Dis J       Date:  2015-07       Impact factor: 2.129

7.  Incidence and Costs of Neonatal Abstinence Syndrome Among Infants With Medicaid: 2004-2014.

Authors:  Tyler N A Winkelman; Nicole Villapiano; Katy B Kozhimannil; Matthew M Davis; Stephen W Patrick
Journal:  Pediatrics       Date:  2018-04       Impact factor: 7.124

8.  Emergency department visits for traumatic brain injury in a birth cohort of Medicaid-insured children.

Authors:  Charles DiMaggio; Guohua Li
Journal:  Brain Inj       Date:  2013-08-02       Impact factor: 2.311

9.  Challenges to measuring variation in readmission rates of neonatal intensive care patients.

Authors:  Scott A Lorch; Molly Passarella; Ashley Zeigler
Journal:  Acad Pediatr       Date:  2014 Sep-Oct       Impact factor: 3.107

10.  Association of Punitive and Reporting State Policies Related to Substance Use in Pregnancy With Rates of Neonatal Abstinence Syndrome.

Authors:  Laura J Faherty; Ashley M Kranz; Joshua Russell-Fritch; Stephen W Patrick; Jonathan Cantor; Bradley D Stein
Journal:  JAMA Netw Open       Date:  2019-11-01
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