Literature DB >> 15156637

Linking birth certificates with Medicaid data to enhance population health assessment: methodological issues addressed.

M Elizabeth Gyllstrom1, Joan L Jensen, Jane N Vaughan, Susan E Castellano, John W Oswald.   

Abstract

This study linked birth certificates with Minnesota Medicaid deliveries in order to identify Medicaid births. This article describes the link between methodology and results. Medicaid claims from 1997 were used to identify women with a delivery code. Identifiers for these women were linked to birth certificate files, with a match rate of 93.2 percent. Women's match status did not differ by maternal age. Women in some border counties matched at much lower rates than the rest of the population. The methodology was effective in linking Medicaid and birth certificate data and will be implemented as a data linkage protocol for Minnesota.

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Year:  2002        PMID: 15156637     DOI: 10.1097/00124784-200207000-00008

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  9 in total

1.  Ascertainment of medicaid payment for delivery on the iowa birth certificate: is accuracy sufficient for timely policy and program relevant analysis?

Authors:  Debra J Kane; William M Sappenfield
Journal:  Matern Child Health J       Date:  2014-05

2.  Agreement between structured checklists and Medicaid claims for preventive dental visits in primary care medical offices.

Authors:  Bhavna T Pahel; R Gary Rozier; Sally C Stearns
Journal:  Health Informatics J       Date:  2010-06       Impact factor: 2.681

3.  Issues and biases in matching medicaid pregnancy episodes to vital records data: the Arkansas experience.

Authors:  Janet M Bronstein; Charles T Lomatsch; David Fletcher; Terri Wooten; Tsai Mei Lin; Richard Nugent; Curtis L Lowery
Journal:  Matern Child Health J       Date:  2008-05-01

4.  Trends in hospital-based childbirth care: the role of health insurance.

Authors:  Katy B Kozhimannil; Tetyana P Shippee; Olusola Adegoke; Beth A Vemig
Journal:  Am J Manag Care       Date:  2013-04-01       Impact factor: 2.229

5.  Data linkage: a powerful research tool with potential problems.

Authors:  Megan A Bohensky; Damien Jolley; Vijaya Sundararajan; Sue Evans; David V Pilcher; Ian Scott; Caroline A Brand
Journal:  BMC Health Serv Res       Date:  2010-12-22       Impact factor: 2.655

6.  Sociodemographic differences in linkage error: an examination of four large-scale datasets.

Authors:  Sean Randall; Adrian Brown; James Boyd; Rainer Schnell; Christian Borgs; Anna Ferrante
Journal:  BMC Health Serv Res       Date:  2018-09-03       Impact factor: 2.655

7.  Investigating linkage rates among probabilistically linked birth and hospitalization records.

Authors:  Jason P Bentley; Jane B Ford; Lee K Taylor; Katie A Irvine; Christine L Roberts
Journal:  BMC Med Res Methodol       Date:  2012-09-25       Impact factor: 4.615

8.  Impact of matching error on linked mortality outcome in a data linkage of secondary mental health data with Hospital Episode Statistics (HES) and mortality records in South East London: a cross-sectional study.

Authors:  Amelia Jewell; Matthew Broadbent; Richard D Hayes; Ruth Gilbert; Robert Stewart; Johnny Downs
Journal:  BMJ Open       Date:  2020-07-07       Impact factor: 2.692

9.  Birth and death notification via mobile devices: a mixed methods systematic review.

Authors:  Lavanya Vasudevan; Claire Glenton; Nicholas Henschke; Nicola Maayan; John Eyers; Marita S Fønhus; Tigest Tamrat; Garrett L Mehl; Simon Lewin
Journal:  Cochrane Database Syst Rev       Date:  2021-07-16
  9 in total

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