BACKGROUND: To describe trends in labor induction, including elective induction, from 2001 to 2007 for six U.S. health plans and to examine the validity of induction measures derived from birth certificate and health plan data. METHODS: This retrospective cohort study included 339,123 deliveries at 35 weeks' gestation or greater. Linked health plan and birth certificate data provided information about induction, maternal medical conditions, and pregnancy complications. Induction was defined from diagnosis and procedure codes and birth certificate data and considered elective if no accepted indication was coded. We calculated induction prevalence across health plans and years. At four health plans, we reviewed medical records to validate induction measures. RESULTS: Based on electronic data, induction prevalence rose from 28% in 2001 to 32% in 2005, then declined to 29% in 2007. The trend was driven by changes in the prevalence of apparent elective induction, which rose from 11% in 2001 to 14% in 2005 and then declined to 11% in 2007. The trend was similar for subgroups by parity and gestational age. Elective induction prevalence varied considerably across plans. On review of 86 records, 36% of apparent elective inductions identified from electronic data were confirmed as valid. CONCLUSIONS: Elective induction appeared to peak in 2005 and then decline. The decrease may reflect quality improvement initiatives or changes in policies, patient or provider attitudes, or coding practices. The low validation rate for measures of elective induction defined from electronic data has important implications for existing quality measures and for research studies examining induction's outcomes.
BACKGROUND: To describe trends in labor induction, including elective induction, from 2001 to 2007 for six U.S. health plans and to examine the validity of induction measures derived from birth certificate and health plan data. METHODS: This retrospective cohort study included 339,123 deliveries at 35 weeks' gestation or greater. Linked health plan and birth certificate data provided information about induction, maternal medical conditions, and pregnancy complications. Induction was defined from diagnosis and procedure codes and birth certificate data and considered elective if no accepted indication was coded. We calculated induction prevalence across health plans and years. At four health plans, we reviewed medical records to validate induction measures. RESULTS: Based on electronic data, induction prevalence rose from 28% in 2001 to 32% in 2005, then declined to 29% in 2007. The trend was driven by changes in the prevalence of apparent elective induction, which rose from 11% in 2001 to 14% in 2005 and then declined to 11% in 2007. The trend was similar for subgroups by parity and gestational age. Elective induction prevalence varied considerably across plans. On review of 86 records, 36% of apparent elective inductions identified from electronic data were confirmed as valid. CONCLUSIONS: Elective induction appeared to peak in 2005 and then decline. The decrease may reflect quality improvement initiatives or changes in policies, patient or provider attitudes, or coding practices. The low validation rate for measures of elective induction defined from electronic data has important implications for existing quality measures and for research studies examining induction's outcomes.
Authors: Mona T Lydon-Rochelle; Victoria L Holt; Vicky Cárdenas; Jennifer C Nelson; Thomas R Easterling; Carolyn Gardella; William M Callaghan Journal: Am J Obstet Gynecol Date: 2005-07 Impact factor: 8.661
Authors: Anna Seijmonsbergen-Schermers; Thomas van den Akker; Katrien Beeckman; Annick Bogaerts; Monalisa Barros; Patricia Janssen; Lorena Binfa; Eva Rydahl; Lucy Frith; Mechthild M Gross; Berglind Hálfdánsdóttir; Deirdre Daly; Jean Calleja-Agius; Patricia Gillen; Anne Britt Vika Nilsen; Eugene Declercq; Ank de Jonge Journal: BMJ Open Date: 2018-01-10 Impact factor: 2.692
Authors: A E Seijmonsbergen-Schermers; D C Zondag; M Nieuwenhuijze; T Van den Akker; C J Verhoeven; C Geerts; F Schellevis; A De Jonge Journal: BMC Pregnancy Childbirth Date: 2018-06-01 Impact factor: 3.007