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Background We propose a methodology for identifying and analysing 'elective' preterm births ( PTBs) using administrative data, and apply this methodology to California data with the objective of providing a framework to further explore the potential rationales for early delivery. Methods Using the California linked birth cohorts for 1999, 2002 and 2005, singleton PTBs were identified using birth certificate gestational age ≥ 24 and <37 weeks. Through a hierarchical scheme that first removed cases with standard or 'hard' indications for early delivery (e.g. severe preeclampsia, placenta previa), cases of 'elective' PTB were identified with coding for medical intervention, that is, elective caesarean or labour induction. We calculated rates of elective PTB, with subanalyses of early (<34 weeks of gestational age) and late PTB (34 to <37 weeks of gestational age) using hierarchical logistic regression models. Results Of 1 387 565 singleton deliveries, 99 614 (7.2%) were preterm. Elective PTBs increased 27.7% over the 6-year study period, with nearly all cases confined to the late PTB stratum; elective late PTB rates rose from 10.5% to 13.5% of all late PTBs ( P < 0.0001). Indications for delivery in this Elective Group ('soft indications') included prior pelvic floor repair, mental health conditions, fetal anomalies, malpresentation and oligohydramnios. Six per cent of patients with a late PTB had a medical intervention with no hard or soft indication for delivery. Conclusions Using administrative data, we developed a method for identifying and trending the proportion of PTBs that is 'elective'. This method can be used to explore and monitor potential strategies for the prevention of elective PTB. [ABSTRACT FROM AUTHOR]

The caesarean delivery rate has become a commonly used measure intended to reflect the quality of obstetric care. At least 25% of all primary caesarean deliveries occur electively, i.e. to women who are not in labour. This study is intended to validate a previously published model designed to use ICD-9-CM codes to identify and categorise cases of elective primary caesarean delivery by their indication. ICD-9-CM codes were compared with diagnoses written in the medical record for all women without a prior caesarean who delivered in the same month in a single hospital to examine the accuracy of the codes for 12 potential elective primary caesarean indications derived by the published model: malpresentation; bleeding; genital herpes; severe hypertension; uterine scar; multiple gestation; macrosomia; unengaged fetus; maternal soft tissue conditions; other hypertensive conditions; prematurity; and chromosomal anomalies. Of 440 eligible women, a total of 26 (5.9%) had an elective primary caesarean by medical record review vs. [27] (6.1%) by administrative data. Using medical record data as the gold standard, the sensitivity, specificity, and accuracy of administrative data for the identification of elective primary caesarean delivery were 73.1%, 98.1%, and 96.6%, respectively. Administrative coding for all of the 12 conditions was highly specific, although wide variability existed in its sensitivity; its accuracy ranged between 83.9% and 100%. These results suggest that, despite widespread use of caesarean delivery rates obtained through administrative data, more experience is needed to determine which obstetric codes may be sufficiently specific, sensitive, or prevalent to serve a monitoring or surveillance function reflecting the quality of obstetrical care. The results support continued efforts to use administrative data to monitor elective primary caesarean delivery. [ABSTRACT FROM AUTHOR]