Literature DB >> 31916247

Performance of ICD-10-CM diagnosis codes for identifying children with Sickle Cell Anemia.

Sarah L Reeves1,2, Brian Madden1, Meng Wu3, Lauren S Miller3, David Anders3, Michele Caggana3,4, Lindsay W Cogan3,5, Mary Kleyn6, Isabel Hurden6, Gary L Freed1, Kevin J Dombkowski1.   

Abstract

OBJECTIVE: To develop, test, and validate the performance of ICD-10-CM claims-based case definitions for identifying children with sickle cell anemia (SCA). DATA SOURCES: Medicaid administrative claims (2016) for children <18 years with potential SCA (any D57x diagnosis code) and newborn screening records from Michigan and New York State. STUDY
DESIGN: This study is a secondary data analysis. DATA COLLECTION/EXTRACTION
METHODS: Using specific SCA-related (D5700, D5701, and D5702) and nonspecific (D571) diagnosis codes, 23 SCA case definitions were applied to Michigan Medicaid claims (2016) to identify children with SCA. Measures of performance (sensitivity, specificity, area under the ROC curve) were calculated using newborn screening results as the gold standard. A parallel analysis was conducted using New York State Medicaid claims and newborn screening data. PRINCIPAL
FINDINGS: In Michigan Medicaid, 1597 children had ≥1 D57x claim; 280 (18 percent) were diagnosed with SCA. Measures of performance varied, with sensitivities from 0.02 to 0.97 and specificities from 0.88 to 1.0. The case definition of ≥1 outpatient visit with a SCA-related or D571 code had the highest area under the ROC curve, with a sensitivity of 95 percent and specificity of 92 percent. The same definition also had the highest performance in New York Medicaid (n = 2454), with a sensitivity of 94 percent and specificity of 86 percent.
CONCLUSIONS: Children with SCA can be accurately identified in administrative claims using this straightforward case definition. This methodology can be used to monitor trends and use of health services after transition to ICD-10-CM. © Health Research and Educational Trust.

Entities:  

Keywords:  ICD-10-CM; administrative claims; sickle cell anemia

Mesh:

Year:  2020        PMID: 31916247      PMCID: PMC7080376          DOI: 10.1111/1475-6773.13257

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  40 in total

Review 1.  The interpretation of diagnostic tests.

Authors:  D E Shapiro
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  An approach to identifying incident breast cancer cases using Medicare claims data.

Authors:  J L Freeman; D Zhang; D H Freeman; J S Goodwin
Journal:  J Clin Epidemiol       Date:  2000-06       Impact factor: 6.437

3.  Sickle cell disease-related pediatric medical expenditures in the U.S.

Authors:  Djesika D Amendah; Mercy Mvundura; Patricia L Kavanagh; Philippa G Sprinz; Scott D Grosse
Journal:  Am J Prev Med       Date:  2010-04       Impact factor: 5.043

Review 4.  Administrative data sets and health services research on hemoglobinopathies: a review of the literature.

Authors:  Scott D Grosse; Sheree L Boulet; Djesika D Amendah; Suzette O Oyeku
Journal:  Am J Prev Med       Date:  2010-04       Impact factor: 5.043

5.  Bacterial meningitis and septicemia in sickle cell disease.

Authors:  G D Overturf; D Powars; L J Baraff
Journal:  Am J Dis Child       Date:  1977-07

6.  Generalist and subspecialist care for children with chronic conditions.

Authors:  James M Perrin; Karen A Kuhlthau; Steven L Gortmaker; Anne C Beal; Timothy G Ferris
Journal:  Ambul Pediatr       Date:  2002 Nov-Dec

7.  Performance of ICD-10-CM diagnosis codes for identifying children with Sickle Cell Anemia.

Authors:  Sarah L Reeves; Brian Madden; Meng Wu; Lauren S Miller; David Anders; Michele Caggana; Lindsay W Cogan; Mary Kleyn; Isabel Hurden; Gary L Freed; Kevin J Dombkowski
Journal:  Health Serv Res       Date:  2020-01-09       Impact factor: 3.402

8.  Pain in sickle cell disease. Rates and risk factors.

Authors:  O S Platt; B D Thorington; D J Brambilla; P F Milner; W F Rosse; E Vichinsky; T R Kinney
Journal:  N Engl J Med       Date:  1991-07-04       Impact factor: 91.245

9.  Depression in children and adolescents with sickle-cell disease.

Authors:  Y M Yang; M Cepeda; C Price; A Shah; V Mankad
Journal:  Arch Pediatr Adolesc Med       Date:  1994-05

10.  State-based surveillance for selected hemoglobinopathies.

Authors:  Mary M Hulihan; Lisa Feuchtbaum; Lanetta Jordan; Russell S Kirby; Angela Snyder; William Young; Yvonne Greene; Joseph Telfair; Ying Wang; William Cramer; Ellen M Werner; Kristy Kenney; Melissa Creary; Althea M Grant
Journal:  Genet Med       Date:  2014-07-03       Impact factor: 8.822

View more
  3 in total

1.  Performance of ICD-10-CM diagnosis codes for identifying children with Sickle Cell Anemia.

Authors:  Sarah L Reeves; Brian Madden; Meng Wu; Lauren S Miller; David Anders; Michele Caggana; Lindsay W Cogan; Mary Kleyn; Isabel Hurden; Gary L Freed; Kevin J Dombkowski
Journal:  Health Serv Res       Date:  2020-01-09       Impact factor: 3.402

2.  Trends in quality of care among children with sickle cell anemia.

Authors:  Sarah L Reeves; Gary L Freed; Brian Madden; Meng Wu; Lauren Miller; Lindsay Cogan; David Anders; Susan E Creary; Julie McCormick; Kevin J Dombkowski
Journal:  Pediatr Blood Cancer       Date:  2021-12-02       Impact factor: 3.838

3.  Vital Signs: Use of Recommended Health Care Measures to Prevent Selected Complications of Sickle Cell Anemia in Children and Adolescents - Selected U.S. States, 2019.

Authors:  Laura A Schieve; Gretchen M Simmons; Amanda B Payne; Karon Abe; Lewis L Hsu; Mary Hulihan; Shammara Pope; Sarah Rhie; Brandi Dupervil; W Craig Hooper
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2022-09-30       Impact factor: 35.301

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.