Accuracy of reporting maternal in‐hospital diagnoses and intrapartum procedures in Washington State linked birth records

Lydon‐Rochelle, Mona T.; Holt, Victoria L.; Nelson, Jennifer C.; Cárdenas, Vicky; Gardella, Carolyn; Easterling, Thomas R.; Callaghan, William M.

doi:10.1111/j.1365-3016.2005.00682.x

Cited by 185 publications

(147 citation statements)

References 27 publications

Supporting

Mentioning

138

Contrasting

Order By: Relevance

“…This approach improves sensitivity (e.g., from 52% to 86%) compared to relying on birth certificate data alone. 14 Table S1; Supplementary Data are available online at www .liebertpub.com/jwh) were based on ACOG recommendations 20 and included post-term pregnancy ( ‡ 41 completed weeks of gestation), diabetes, hypertension, preeclampsia, eclampsia, prelabor rupture of membranes, maternal heart disease, and others. Inductions with no documented indication other than macrosomia (2%) were categorized as elective because there is scant evidence that such inductions improve outcomes.…”

Section: Methodsmentioning

confidence: 99%

“…[7][8][9][10][11] While studies have examined the impact of specific initiatives at single institutions or health care systems, there is little information available about general trends in induction in the United States in recent years. Two studies reported that early-term 12 and late preterm 13 induction rates increased through 2006, but these studies relied on birth certificate data, which miss many inductions 14 and do not reliably distinguish elective from indicated inductions. 15 A recent study of specialty hospitals was the first to provide nationally representative data, reporting an 11% increase in induction from 2006 to 2010.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Trends in Elective Labor Induction for Six United States Health Plans, 2001–2007

Dublin

Johnson

Walker

et al. 2014

Journal of Women's Health

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Trends in Elective Labor Induction for Six United States Health Plans, 2001–2007

Dublin

Johnson

Walker

et al. 2014

Journal of Women's Health

View full text Add to dashboard Cite

show abstract

“…Use of the combined birth certificate and hospital discharge data has been found to be more accurate for perinatal outcomes, compared with birth certificate data alone. 9,10 Various maternal sociodemographic characteristics have been shown to be associated with maternal obesity and were evaluated as potential confounders in this study. Maternal education was categorized as high, average, or low on the basis of age and years of education.…”

Section: Methodsmentioning

confidence: 99%

597: Maternal super-obesity and perinatal outcomes

Marshall

Guild

Cheng

et al. 2011

American Journal of Obstetrics and Gynecology

View full text Add to dashboard Cite

OBJECTIVE-The purpose of this study was to determine the effect of maternal superobesity (body mass index [BMI], ≥50 kg/m 2 ) compared with morbid obesity (BMI,(40)(41)(42)(43)(44)(45)(46)(47)(48)(49).9 kg/m 2 ) or obesity (BMI, kg/m 2 ) on perinatal outcomes.STUDY DESIGN-We conducted a retrospective cohort study of birth records that were linked to hospital discharge data for all liveborn singleton term infants who were born to obese Missouri residents from 2000-2006. We excluded major congenital anomalies and women with diabetes mellitus or chronic hypertension.RESULTS-There were 64,272 births that met the study criteria, which included 1185 superobese mothers (1.8%). Superobese women were significantly more likely than obese women to have preeclampsia (adjusted relative risk [aRR], 1.7; 95% confidence interval [CI], 1.4 -2.1), macrosomia (aRR, 1.8; 95% CI, 1.3-2.5), and cesarean delivery (aRR, 1.8; 95% CI, 1.5-2.1). Almost one-half of all superobese women (49.1%) delivered by cesarean section, and 33.8% of superobese nulliparous women underwent scheduled primary cesarean delivery.CONCLUSION-Women with a BMI of ≥50 kg/m 2 are at significantly increased risk for perinatal complications compared with obese women with a lower BMI. Keywords pregnancy outcome; superobesityThe obesity epidemic remains unabated in the United States. In 2007-2008 of American women who were 20-39 years old met obesity criteria (body mass index [BMI] ≥30 kg/m 2 ) 1 ; obesity is now an increasingly common and harmful pregnancy complication. Superobesity, as coined in the gastric bypass literature to describe patients who weigh ≥225% of ideal body weight, 2 represents individuals with a BMI of ≥50 kg/m 2 . The number of superobese individuals is growing 5 times faster than other obesity categories, 3 which means that healthcare providers increasingly will be challenged to accommodate their healthcare needs. Presented as a poster at the 31st annual meeting of the Society for Maternal-Fetal Medicine, San Francisco, CA, Feb. 7-12, 2011. NIH Public Access Obese women are more likely than normal weight women to experience preeclampsia, diabetes mellitus, cesarean delivery, fetal growth abnormalities, and stillbirth. 4 Although several studies compare obese women to normal-weight women, to date there have been limited studies on superobesity in pregnancy. [5][6][7] As the number of superobese pregnant women continues to rise, it is important to determine whether there is a "dose-response" relationship between the severity of maternal obesity and perinatal complications.The objective of this study was to determine the effect of maternal superobesity on perinatal outcomes compared with maternal obesity (BMI, 30-39.9 kg/m 2 ) and morbid obesity (BMI,(40)(41)(42)(43)(44)(45)(46)(47)(48)(49).9 kg/m 2 ). We hypothesized that pregnancy in super-obese women, compared with obese and morbidly obese women, is associated with (1) increased risk of maternal complications of pregnancy, (2) greater risk of fetal growth abnormalities, and (3) grea...

show abstract

“…Linking birth data to hospital admission data has provided greater sensitivities of maternal morbidity diagnoses, birth outcomes and intrapartum procedures without any increase in false positives. [32][33][34][35][36] Studies in the US have demonstrated that combining information from birth certificates and confidential questionnaires yielded higher estimates of maternal smoking prevalence. 22,26 Little is known in Australia about the extent to which linking birth data with hospital admission data improves the identification of pregnant smokers and its potential impact on estimates of maternal smoking prevalence, and risks of smokingrelated adverse pregnancy outcomes including placental abruption, preterm delivery, stillbirth and low birthweight.…”

mentioning

confidence: 99%

Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy

Tran

Roberts

Havard

et al. 2014

Australian and New Zealand Journal of Public Health

View full text Add to dashboard Cite

Objective: Birth records and hospital admission records are valuable for research on maternal smoking, but individually are known to under-estimate smokers. This study investigated the extent to which combining data from these records enhances the identification of pregnant smokers, and whether this affects research findings such as estimates of maternal smoking prevalence and risk of adverse pregnancy outcomes associated with smoking. Methods:A total of 846,039 birth records in New South Wales, Australia, (2001Australia, ( -2010 were linked to hospital admission records (delivery and antenatal). Algorithm 1 combined data from birth and delivery admission records, whereas algorithm 2 combined data from birth record, delivery and antenatal admission records. Associations between smoking and placental abruption, preterm birth, stillbirth, and low birthweight were assessed using multivariable logistic regression.Results: Algorithm 1 identified 127,612 smokers (smoking prevalence 15.1%), which was a 9.6% and 54.6% increase over the unenhanced identification from birth records alone (prevalence 13.8%), and delivery admission records alone (prevalence 9.8%), respectively. Algorithm 2 identified a further 2,408 smokers from antenatal admission records. The enhancement varied by maternal socio-demographic characteristics (age, marital status, country of birth, socioeconomic status); obstetric factors (multi-fetal pregnancy, diabetes, hypertension); and maternity hospital. Enhanced and unenhanced identification methods yielded similar odds ratios for placental abruption, preterm birth, stillbirth and low birthweight. Conclusions:Use of linked data improved the identification of pregnant smokers. Studies relying on a single data source should adjust for the under-ascertainment of smokers among certain obstetric populations.

show abstract

Accuracy of reporting maternal in‐hospital diagnoses and intrapartum procedures in Washington State linked birth records

Cited by 185 publications

References 27 publications

Trends in Elective Labor Induction for Six United States Health Plans, 2001–2007

Trends in Elective Labor Induction for Six United States Health Plans, 2001–2007

597: Maternal super-obesity and perinatal outcomes

Linking birth records to hospital admission records enhances the identification of women who smoke during pregnancy

Contact Info

Product

Resources

About