Literature DB >> 33591223

Identification of congenital CMV cases in administrative databases and implications for monitoring prevalence, healthcare utilization, and costs.

Scott D Grosse1, Jessica Leung2, Tatiana M Lanzieri2.   

Abstract

OBJECTIVE: To critically review researchers' use of diagnosis codes to identify congenital cytomegalovirus (cCMV) infection or disease in healthcare administrative databases. Understanding the limitations of cCMV ascertainment in those databases can inform cCMV surveillance and health services research.
METHODS: We identified published studies that used diagnosis codes for cCMV or CMV in hospital discharge or health insurance claims and encounters records for infants to assess prevalence, use of services, or healthcare costs. We reviewed estimates of prevalence and of charges, costs, or expenditures associated with cCMV diagnosis codes.
RESULTS: Five studies assessed hospitalizations with cCMV diagnosis codes recorded in hospital discharge databases, from the United States (n = 3), Australia (n = 1), and the United Kingdom (n = 1). Six other studies analyzed claims or encounters data from the United States (n = 5) or Japan (n = 1) to identify infants with cCMV codes. Prevalence estimates of recognized cCMV ranged from 0.6 to 3.8 per 10,000 infants. Economic analyses reported a wide range of per-hospitalization or per-infant cost estimates, which lacked standardization or comparability.
CONCLUSIONS: The administrative prevalence of cCMV cases reported in published analyses of administrative data from North America, Western Europe, Japan, and Australia (0.6-3.8 per 10,000 infants) is an order of magnitude lower than the estimates of the true birth prevalence of 3-7 per 1,000 newborns based on universal newborn screening pilot studies conducted in the same regions. Nonetheless, in the absence of systematic surveillance for cCMV, administrative data might be useful for assessing trends in testing and clinical diagnosis. To the extent that cCMV cases recorded in administrative databases are not representative of the full spectrum of cCMV infection or disease, per-child cost estimates generated from those data may not be generalizable. On the other hand, claims data may be useful for estimating patterns of healthcare use and expenditures associated with combinations of diagnoses for cCMV and known complications of cCMV.

Entities:  

Keywords:  Health services research; congenital CMV; cost analyses

Mesh:

Year:  2021        PMID: 33591223      PMCID: PMC8314526          DOI: 10.1080/03007995.2021.1890556

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  60 in total

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Authors:  Eric I Benchimol; Douglas G Manuel; Teresa To; Anne M Griffiths; Linda Rabeneck; Astrid Guttmann
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2.  Including physicians in bundled hospital care payments: time to revisit an old idea?

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Journal:  JAMA       Date:  2015-05-19       Impact factor: 56.272

3.  The Relationship Between 2009 Pandemic H1N1 Influenza During Pregnancy and Preterm Birth: A Population-based Cohort Study.

Authors:  Deshayne B Fell; Robert W Platt; Olga Basso; Kumanan Wilson; Jay S Kaufman; David L Buckeridge; Jeffrey C Kwong
Journal:  Epidemiology       Date:  2018-01       Impact factor: 4.822

4.  Economic cost of congenital CMV in the UK.

Authors:  Jenny Retzler; Nick Hex; Chris Bartlett; Anne Webb; Sharon Wood; Caroline Star; Paul Griffiths; Christine E Jones
Journal:  Arch Dis Child       Date:  2018-11-24       Impact factor: 3.791

Review 5.  Validated methods for identifying tuberculosis patients in health administrative databases: systematic review.

Authors:  L A Ronald; D I Ling; J M FitzGerald; K Schwartzman; G Bartlett-Esquilant; J-F Boivin; A Benedetti; D Menzies
Journal:  Int J Tuberc Lung Dis       Date:  2017-05-01       Impact factor: 2.373

6.  Children with medical complexity and Medicaid: spending and cost savings.

Authors:  Jay G Berry; Matt Hall; John Neff; Denise Goodman; Eyal Cohen; Rishi Agrawal; Dennis Kuo; Chris Feudtner
Journal:  Health Aff (Millwood)       Date:  2014-12       Impact factor: 6.301

7.  Professional Fee Ratios for US Hospital Discharge Data.

Authors:  Cora Peterson; Likang Xu; Curtis Florence; Scott D Grosse; Joseph L Annest
Journal:  Med Care       Date:  2015-10       Impact factor: 2.983

Review 8.  New estimates of the prevalence of neurological and sensory sequelae and mortality associated with congenital cytomegalovirus infection.

Authors:  Sheila C Dollard; Scott D Grosse; Danielle S Ross
Journal:  Rev Med Virol       Date:  2007 Sep-Oct       Impact factor: 6.989

9.  Congenital CMV-Coded Diagnosis Among American Indian and Alaska Native Infants in the United States, 2000-2017.

Authors:  Jessica Leung; Jordan L Kennedy; Dana L Haberling; Andria Apostolou; Tatiana M Lanzieri
Journal:  J Immigr Minor Health       Date:  2020-10

10.  Diagnosis and medical care for congenital cytomegalovirus infection: An observational study using claims data in Japan, 2010 to 2017.

Authors:  Chiahsuan Lin; Jun Tomio; Hirokazu Tanaka; Masaki Sonoda; Kazuaki Sano; Yasuki Kobayashi
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.889

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  1 in total

1.  Missing diagnoses of congenital cytomegalovirus infection in electronic health records for infants with laboratory-confirmed infection.

Authors:  Alexandra Campione; Tatiana M Lanzieri; Emily Ricotta; Scott D Grosse; Sameer S Kadri; Veronique Nussenblatt; D Rebecca Prevots
Journal:  Curr Med Res Opin       Date:  2021-12-06       Impact factor: 2.705

  1 in total

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