Accuracy of ICD-9-CM coding to identify small for gestational age newborns

Pharmacoepidemiology and Drug Safety

Volumn 24, Issue 4, 2015, Pages 381-388

  Phiri, Kelesitse ^a   Hernandez Diaz, Sonia ^a   Tsen, Lawrence C ^b   Puopolo, Karen M ^b   Seeger, John D ^a,c   Bateman, Brian T ^c,d  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Gestational age; Healthcare records; ICD 9 CM codes; Pharmacoepidemiology; Sensitivity; Small for gestational age; Specificity

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BIRTH RATE; BIRTH WEIGHT; CESAREAN SECTION; COMPARATIVE STUDY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; GESTATIONAL AGE; HUMAN; ICD-9-CM; INFANT; LABOR INDUCTION; LIVE BIRTH; MAJOR CLINICAL STUDY; MATERNAL AGE; MATERNAL HYPERTENSION; PREDICTIVE VALUE; PREECLAMPSIA; PREGNANCY DIABETES MELLITUS; PREMATURE LABOR; PREVALENCE; PRIORITY JOURNAL; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SMALL FOR DATE INFANT; VAGINAL DELIVERY; FACTUAL DATABASE; GYNECOLOGICAL EXAMINATION; HISTORY; INTERNATIONAL CLASSIFICATION OF DISEASES; MIDDLE AGED; STANDARDS;

ADOLESCENT; ADULT; BIRTH WEIGHT; DATABASES, FACTUAL; DIAGNOSTIC TECHNIQUES, OBSTETRICAL AND GYNECOLOGICAL; FEMALE; HISTORY, 21ST CENTURY; HUMANS; INFANT, SMALL FOR GESTATIONAL AGE; INTERNATIONAL CLASSIFICATION OF DISEASES; MIDDLE AGED;

EID: 84925954254     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3740     Document Type: Article

References (30)

1. Carberry AE, Gordon A, Bond DM, Hyett J, Raynes-Greenow CH, Jeffery HE. Customised versus population-based growth charts as a screening tool for detecting small for gestational age infants in low-risk pregnant women. Cochrane Database of Systematic Reviews 2011; Issue (12): Art. No.: CD008549. DOI: 10.1002/14651858.CD008549.pub2.
2. Saenger P, Czernichow P, Hughes I, Reiter EO. Small for gestational age: short stature and beyond. Endocr Rev 2007; 28: 219-251.
3. La Merrill M, Stein CR, Landrigan P, Engel SM, Savitz DA. Prepregnancy body mass index, smoking during pregnancy, and infant birth weight. Ann Epidemiol 2011; 21: 413-420.
4. Luyckx VA, Bertram JF, Brenner BM, et al. Effect of fetal and child health on kidney development and long-term risk of hypertension and kidney disease. Lancet 2013; 382: 273-283.
5. Lim G, Tracey J, Boom N, et al. CIHI survey: hospital costs for preterm and small-for-gestational age babies in Canada. Healthc Q 2009; 12: 20-24.
6. Kramer MS. Determinants of low birth weight: methodological assessment and meta-analysis. Bull World Health Organ 1987; 65: 663-737.
7. Thompson JM, Clark PM, Robinson E, et al. Risk factors for small-for-gestational-age babies: the Auckland Birthweight Collaborative Study. J Paediatr Child Health 2001; 37: 369-375.
8. Cnattingius S. The epidemiology of smoking during pregnancy: smoking prevalence, maternal characteristics, and pregnancy outcomes. Nicotine Tob Res 2004; 6(Suppl 2): S125-40.
9. Bada HS, Das A, Bauer CR, et al. Low birth weight and preterm births: etiologic fraction attributable to prenatal drug exposure. J Perinatol 2005; 25: 631-637.
10. Chiaffarino F, Parazzini F, Chatenoud L, et al. Alcohol drinking and risk of small for gestational age birth. Eur J Clin Nutr 2006; 60: 1062-1066.
11. McCowan L, Horgan RP. Risk factors for small for gestational age infants. Best Pract Res Clin Obstet Gynaecol 2009; 23: 779-793.
12. Meidahl Petersen K, Jimenez-Solem E, Andersen JT, et al. Beta-Blocker treatment during pregnancy and adverse pregnancy outcomes: a nationwide population-based cohort study. BMJ Open 2012; 2: DOI: 10.1136/bmjopen-2012-001185. Print 2012.
13. Magee LA, Duley L. Oral beta-blockers for mild to moderate hypertension during pregnancy. Cochrane Database of Systematic Reviews 2003; Issue (3): Art. No.: CD002863. DOI: 10.1002/14651858.CD002863.
14. Finnegan LP, Hagan T, Kaltenbach KA. Scientific foundation of clinical practice: opiate use in pregnant women. Bull N Y Acad Med 1991; 67: 223-239.
15. Nezvalova-Henriksen K, Spigset O, Nordeng H. Effects of codeine on pregnancy outcome: results from a large population-based cohort study. Eur J Clin Pharmacol 2011; 67: 1253-1261.
16. Ornoy A, Zvi N, Arnon J, Wajnberg R, Shechtman S, Diav-Citrin O. The outcome of pregnancy following topiramate treatment: a study on 52 pregnancies. Reprod Toxicol 2008; 25: 388-389.
17. Hernández-Díaz S, Mittendorf R, Smith CR, Hauser WA, Yerby M, Holmes LB. Association between topiramate and zonisamide use during pregnancy and low birth weight. Obstet Gynecol 2014; 123: 1-9.
18. Townsend CL, Cortina-Borja M, Peckham CS, Tookey PA. Antiretroviral therapy and premature delivery in diagnosed HIV-infected women in the United Kingdom and Ireland. AIDS 2007; 21: 1019-1026.
19. Chen JY, Ribaudo HJ, Souda S, et al. Highly active antiretroviral therapy and adverse birth outcomes among HIV-infected women in Botswana. J Infect Dis 2012; 206: 1695-1705.
20. Palmsten K, Huybrechts KF, Mogun H, et al. Harnessing the Medicaid Analytic eXtract (MAX) to evaluate medications in pregnancy: design considerations. PLoS One 2013; 8: e67405.
21. Centers for Medicare and Medicaid Services. Research, Statistics, Data and Systems. Medicaid Analytic eXtract (MAX) General Information. http://www.cms.gov/Research-Statistics-Data-and-Systems/Computer-Data-and-Systems/MedicaidDataSourcesGenInfo/MAXGeneralInformation.html (last accessed November 20, 2014)
22. HCUP Databases. Healthcare Cost and Utilization Project (HCUP). Agency for Healthcare Research and Quality, Rockville, MD. July 2014. www.hcup-us.ahrq.gov/nisoverview.jsp (last accessed November 20, 2014).
23. Method for estimating due date. Committee Opinion No. 611. American College of Obstetricians and Gynecologists. Obstet Gynecol 2014; 124: 863-866.
24. Oken E, Kleinman KP, Rich-Edwards J, Gillman MW. A nearly continuous measure of birth weight for gestational age using a United States national reference. BMC Pediatr 2003; 3: 6.
25. Xu H, Simonet F, Luo ZC. Optimal birth weight percentile cut-offs in defining small- or large-for-gestational-age. Acta Paediatr 2010; 99: 550-555.
26. Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol 2005; 58: 323-337.
27. Goff SL, Pekow PS, Markenson G, Knee A, Chasan-Taber L, Lindenauer PK. Validity of using ICD-9-CM codes to identify selected categories of obstetric complications, procedures and co-morbidities. Paediatr Perinat Epidemiol 2012; 26: 421-429.
28. Romano PS, Yasmeen S, Schembri ME, Keyzer JM, Gilbert WM. Coding of perineal lacerations and other complications of obstetric care in hospital discharge data. Obstet Gynecol 2005; 106: 717-725.
29. Yasmeen S, Romano PS, Schembri ME, Keyzer JM, Gilbert WM. Accuracy of obstetric diagnoses and procedures in hospital discharge data. Am J Obstet Gynecol 2006; 194: 992-1001.
30. Lee PA, Chernausek SD, Hokken-Koelega AC, Czernichow P, International Small for Gestational Age Advisory Board. International Small for Gestational Age Advisory Board consensus development conference statement: management of short children born small for gestational age, April 24-October 1, 2001. Pediatrics 2003; 111: 1253-1261.