Beginning and duration of pregnancy in automated health care databases: Review of estimation methods and validation results

Pharmacoepidemiology and Drug Safety

Volumn 24, Issue 4, 2015, Pages 335-342

  Margulis, Andrea V ^a   Palmsten, Kristin ^b,c   Andrade, Susan E ^d   Charlton, Rachel A ^e   Hardy, Janet R ^f   Cooper, William O ^g   Hernández Díaz, Sonia ^c  

^a RTI HEALTH SOLUTIONS   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^e University of Bath   (United Kingdom)

^f UNIVERSITY OF SOUTH FLORIDA   (United States)

^g VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Administrative data; Beginning of pregnancy; Claims data; Duration of pregnancy; Electronic medical records; Last menstrual period; Pharmacoepidemiology

Indexed keywords

BIRTH WEIGHT; ELECTRONIC MEDICAL RECORD; EMERGENCY WARD; FEMALE; FIRST TRIMESTER PREGNANCY; HEALTH CARE UTILIZATION; HIGH RISK PREGNANCY; HOSPITAL DISCHARGE; HOSPITAL READMISSION; HUMAN; LABORATORY TEST; PREGNANCY; PREGNANCY OUTCOME; PREMATURE LABOR; PRENATAL DRUG EXPOSURE; PRENATAL SCREENING; PRIORITY JOURNAL; REVIEW; VALIDATION STUDY; FACTUAL DATABASE; HEALTH CARE DELIVERY; INFORMATION PROCESSING; NEWBORN; PROCEDURES; REPRODUCIBILITY; STANDARDS; STATISTICS AND NUMERICAL DATA;

AUTOMATIC DATA PROCESSING; DATABASES, FACTUAL; DELIVERY OF HEALTH CARE; FEMALE; HUMANS; INFANT, NEWBORN; PREGNANCY; PREGNANCY OUTCOME; REPRODUCIBILITY OF RESULTS;

EID: 84925968869     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3743     Document Type: Review

References (48)

1. Hernandez-Diaz S. Prescription of medications during pregnancy: accidents, compromises, and uncertainties. Pharmacoepidemiol Drug Saf 2006; 15(9): 613-7. doi:10.1002/pds.1308.
2. Andrews EB, Tennis P. Promise and pitfalls of administrative data in evaluating pregnancy outcomes. Pharmacoepidemiol Drug Saf 2007; 16(11): 1181-3. doi:10.1002/pds.1499.
3. Grimes DA. Epidemiologic research using administrative databases: garbage in, garbage out. Obstet Gynecol 2010; 116(5): 1018-9. doi:10.1097/AOG.0b013e3181f98300.
4. Palmsten K, Hernandez-Diaz S. Can nonrandomized studies on the safety of antidepressants during pregnancy convincingly beat confounding, chance, and prior beliefs? Epidemiology 2012; 23(5): 686-8. doi:10.1097/EDE.0b013e318258fbb2.
5. Manson JM, McFarland B, Weiss S. Use of an automated database to evaluate markers for early detection of pregnancy. Am J Epidemiol 2001; 154(2): 180-7.
6. Raebel MA, Ellis JL, Andrade SE. Evaluation of gestational age and admission date assumptions used to determine prenatal drug exposure from administrative data. Pharmacoepidemiol Drug Saf 2005; 14(12): 829-36. doi:10.1002/pds.1100.
7. Garbe E, Suling M, Kloss S, et al. Linkage of mother-baby pairs in the German Pharmacoepidemiological Research Database. Pharmacoepidemiol Drug Saf 2011; 20(3): 258-64. doi:10.1002/pds.2038.
8. Margulis AV, Setoguchi S, Mittleman MA, et al. Algorithms to estimate the beginning of pregnancy in administrative databases. Pharmacoepidemiol Drug Saf 2013; 22(1): 16-24. doi:10.1002/pds.3284.
9. Andrade SE, Gurwitz JH, Davis RL, et al. Prescription drug use in pregnancy. Am J Obstet Gynecol 2004; 191(2): 398-407. doi:10.1016/j.ajog.2004.04.025.
10. Grisso JA, Strom BL, Cosmatos I, et al. Diagnostic ultrasound in pregnancy and low birthweight. Am J Perinatol 1994; 11(4): 297-301. doi:10.1055/s-2007-994597.
11. Andrade SE, Raebel MA, Morse AN, et al. Use of prescription medications with a potential for fetal harm among pregnant women. Pharmacoepidemiol Drug Saf 2006; 15(8): 546-54. doi:10.1002/pds.1235.
12. Alonso A, Jick SS, Olek MJ, et al. Recent use of oral contraceptives and the risk of multiple sclerosis. Arch Neurol 2005; 62(9): 1362-5. doi:10.1001/archneur.62.9.1362.
13. Cole JA, Modell JG, Haight BR, et al. Bupropion in pregnancy and the prevalence of congenital malformations. Pharmacoepidemiol Drug Saf 2007; 16(5): 474-84. doi:10.1002/pds.1296.
14. Petersen I, Gilbert RE, Evans SJ, et al. Pregnancy as a major determinant for discontinuation of antidepressants: an analysis of data from The Health Improvement Network. J Clin Psychiatry 2011; 72(7): 979-85. doi:10.4088/JCP.10m06090blu.
15. Eworuke E, Hampp C, Saidi A, et al. An algorithm to identify preterm infants in administrative claims data. Pharmacoepidemiol Drug Saf 2012; 21(6): 640-50. doi:10.1002/pds.3264.
16. Li Q, Andrade SE, Cooper WO, et al. Validation of an algorithm to estimate gestational age in electronic health plan databases. Pharmacoepidemiol Drug Saf 2013; 22(5): 524-32. doi:10.1002/pds.3407.
17. Kawai AT, Li L, Andrade SE, et al. Mini-sentinel CBER/PRISM surveillance protocol, influenza vaccines and birth outcomes, Final Draft Posted for Public Comment2013 March 10, 2013. Available from: http://www.mini-sentinel.org/work_products/PRISM/Mini-Sentinel_PRISM_Influenza-Vaccines-and-Birth-Outcomes-Protocol.pdf
18. Gulmezoglu AM, Crowther CA, Middleton P. Induction of labour for improving birth outcomes for women at or beyond term. Cochrane Database Syst Rev 2006; (4): CD004945. DOI: 10.1002/14651858.CD004945.pub2
19. Hardy JR, Leaderer BP, Holford TR, et al. Safety of medications prescribed before and during early pregnancy in a cohort of 81, 975 mothers from the UK General Practice Research Database. Pharmacoepidemiol Drug Saf 2006; 15(8): 555-64. doi:10.1002/pds.1269.
20. Kharbanda EO, Vazquez-Benitez G, Shi WX, et al. Assessing the safety of influenza immunization during pregnancy: the Vaccine Safety Datalink. Am J Obstet Gynecol 2012; 207(3 Suppl): S47-51. doi:10.1016/j.ajog.2012.06.073.
21. Piper JM, Mitchel EF, Jr, Ray WA. Presumptive eligibility for pregnant Medicaid enrollees: its effects on prenatal care and perinatal outcome. Am J Public Health 1994; 84(10): 1626-30.
22. Hornbrook MC, Whitlock EP, Berg CJ, et al. Development of an algorithm to identify pregnancy episodes in an integrated health care delivery system. Health Serv Res 2007; 42(2): 908-27. doi:10.1111/j.1475-6773.2006.00635.x.
23. Naleway AL, Gold R, Kurosky S, et al. Identifying pregnancy episodes, outcomes, and mother-infant pairs in the Vaccine Safety Datalink. Vaccine 2013; 31(27): 2898-903. doi:10.1016/j.vaccine.2013.03.069.
24. Snowball J, De Vries C. Determination of pregnancy on the General Practice Research Database. Pharmacoepidemiol Drug Saf 2007; 16: S118.
25. Charlton RA, Weil JG, Cunnington MC, et al. Comparing the General Practice Research Database and the UK Epilepsy and Pregnancy Register as tools for postmarketing teratogen surveillance: anticonvulsants and the risk of major congenital malformations. Drug Saf 2011; 34(2): 157-71. doi:10.2165/11584970-000000000-00000.
26. Toh S, Mitchell AA, Werler MM, et al. Sensitivity and specificity of computerized algorithms to classify gestational periods in the absence of information on date of conception. Am J Epidemiol 2008; 167(6): 633-40. doi:10.1093/aje/kwm367.
27. 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(6): e67405. doi:10.1371/journal.pone.0067405.
28. Andrade SE, Scott PE, Davis RL, et al. Validity of health plan and birth certificate data for pregnancy research. Pharmacoepidemiol Drug Saf 2013; 22(1): 7-15. doi:10.1002/pds.3319.
29. Jick SS, Terris BZ. Anticonvulsants and congenital malformations. Pharmacotherapy 1997; 17(3): 561-4.
30. Grisso JA, Carson JL, Feldman HI, et al. Epidemiological pitfalls using Medicaid data in reproductive health research. J Matern Fetal Med 1997; 6(4): 230-6. doi:10.1002/(SICI)1520-6661(199707/08)6:4<230::AID-MFM9>3.0.CO;2-K.
31. Andrade SE, McPhillips H, Loren D, et al. Antidepressant medication use and risk of persistent pulmonary hypertension of the newborn. Pharmacoepidemiol Drug Saf 2009; 18(3): 246-52. doi:10.1002/pds.1710.
32. Charlton RA, Cunnington MC, de Vries CS, et al. Data resources for investigating drug exposure during pregnancy and associated outcomes: the General Practice Research Database (GPRD) as an alternative to pregnancy registries. Drug Saf 2008; 31(1): 39-51. 3114 [pii]
33. Drinkard CR, Shatin D, Clouse J. Postmarketing surveillance of medications and pregnancy outcomes: clarithromycin and birth malformations. Pharmacoepidemiol Drug Saf 2000; 9(7): 549-56. doi:10.1002/pds.538.
34. Palmsten K, Setoguchi S, Margulis AV, et al. Elevated risk of preeclampsia in pregnant women with depression: depression or antidepressants? Am J Epidemiol 2012; 175(10): 988-97. doi:10.1093/aje/kwr394.
35. Devine ST, Hammad TA. Last menstrual period estimation techniques compared to physician recorded last menstrual period dates in the general practice research database [abstract]. Pharmacoepidemiol Drug Saf 2008; 17: S298.
36. Cole JA, Ephross SA, Cosmatos IS, et al. Paroxetine in the first trimester and the prevalence of congenital malformations. Pharmacoepidemiol Drug Saf 2007; 16(10): 1075-85. doi:10.1002/pds.1463.
37. Palmsten K, Hernandez-Diaz S, Kuriya B, et al. Use of disease-modifying antirheumatic drugs during pregnancy and risk of preeclampsia. Arthritis Care Res 2012; 64(11): 1730-8. doi:10.1002/acr.21807.
38. Margulis AV, Abou-Ali A, Strazzeri MM, et al. Use of selective serotonin reuptake inhibitors in pregnancy and cardiac malformations: a propensity-score matched cohort in CPRD. Pharmacoepidemiol Drug Saf 2013 Sep; 22(9): 942-51. doi:10.1002/pds.3462.
39. Cooper WO, Willy ME, Pont SJ, et al. Increasing use of antidepressants in pregnancy. Am J Obstet Gynecol 2007; 196(6): 544 e1-5. doi:10.1016/j.ajog.2007.01.033.
40. Piper JM, Baum C, Kennedy DL. Prescription drug use before and during pregnancy in a Medicaid population. Am J Obstet Gynecol 1987; 157(1): 148-56.
41. Ray WA, Gigante J, Mitchel EF, Jr, et al. Perinatal outcomes following implementation of TennCare. JAMA 1998; 279(4): 314-6.
42. Cooper WO, Hernandez-Diaz S, Arbogast PG, et al. Major congenital malformations after first-trimester exposure to ACE inhibitors. N Engl J Med 2006; 354(23): 2443-51. doi:10.1056/NEJMoa055202.
43. Ban L, Tata LJ, West J, et al. Live and non-live pregnancy outcomes among women with depression and anxiety: a population-based study. PLoS One 2012; 7(8): e43462. doi:10.1371/journal.pone.0043462.
44. Charlton RA, Hutchison A, Davis KJ, et al. Asthma management in pregnancy. PLoS One 2013; 8(4): e60247. doi:10.1371/journal.pone.0060247.
45. Sammon CJ, Snowball J, McGrogan A, et al. Evaluating the hazard of foetal death following H1N1 influenza vaccination; a population based cohort study in the UK GPRD. PLoS One 2012; 7(12): e51734. doi:10.1371/journal.pone.0051734.
46. Hardy JR, Holford TR, Hall GC, et al. Strategies for identifying pregnancies in the automated medical records of the General Practice Research Database. Pharmacoepidemiol Drug Saf 2004; 13(11): 749-59. doi:10.1002/pds.935.
47. Piper JM, Ray WA, Griffin MR, et al. Methodological issues in evaluating expanded Medicaid coverage for pregnant women. Am J Epidemiol 1990; 132(3): 561-71.
48. Devine S, West S, Andrews E, et al. The identification of pregnancies within the general practice research database. Pharmacoepidemiol Drug Saf 2010; 19(1): 45-50. doi:10.1002/pds.1862.