Dataset Information

Shifting Patterns in Cesarean Delivery Scheduling and Timing in Oregon before and after a Statewide Hard Stop Policy.

ABSTRACT:

Objectives

To assess the use and timing of scheduled cesareans and other categories of cesarean delivery and the prevalence of neonatal morbidity among cesareans in Oregon before and after the implementation of Oregon's statewide policy limiting elective early deliveries.

Data sources

Oregon vital statistics records, 2008-2013.

Study design

Retrospective cohort study, with multivariable logistic regression, regression controlling for time trends, and interrupted time series analyses, to compare the odds of different categories of cesarean delivery and the odds of neonatal morbidity pre- and postpolicy.

Data collection/extraction methods

We analyzed vital statistics data on all term births in Oregon (2008-2013), excluding births in 2011.

Principal findings

The odds of early-term scheduled cesareans decreased postpolicy (adjusted odds ratio [aOR], 0.70; 95 percent confidence interval [CI], 0.66-0.74). In the postpolicy period, there were mixed findings regarding assisted neonatal ventilation and neonatal intensive care unit admission, with regression models indicating higher postpolicy odds in some categories, but lower postpolicy odds after controlling for time trends.

Conclusions

Oregon's hard stop policy limiting elective early-term cesarean delivery was associated with lower odds of cesarean delivery in the category of women who were targeted by the policy; more research is needed on impact of such policies on neonatal outcomes.

SUBMITTER: Muoto I

PROVIDER: S-EPMC6056593 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Shifting Patterns in Cesarean Delivery Scheduling and Timing in Oregon before and after a Statewide Hard Stop Policy.

Muoto Ifeoma I Darney Blair G BG Lau Bernard B Cheng Yvonne W YW Tomlinson Mark W MW Neilson Duncan R DR Friedman Steven A SA Rogovoy Joanne J Caughey Aaron B AB Snowden Jonathan M JM

Health services research 20171112

<h4>Objectives</h4>To assess the use and timing of scheduled cesareans and other categories of cesarean delivery and the prevalence of neonatal morbidity among cesareans in Oregon before and after the implementation of Oregon's statewide policy limiting elective early deliveries.<h4>Data sources</h4>Oregon vital statistics records, 2008-2013.<h4>Study design</h4>Retrospective cohort study, with multivariable logistic regression, regression controlling for time trends, and interrupted time series ...[more]

PMID: 29131330

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Project description:ImportanceSafe reduction of the cesarean delivery rate is a national priority.ObjectiveTo evaluate the rates of cesarean delivery for nulliparous, term, singleton, vertex (NTSV) births in California in the context of a statewide multifaceted intervention designed to reduce the rates of cesarean delivery.Design, setting, and participantsObservational study of cesarean delivery rates from 2014 to 2019 among 7 574 889 NTSV births in the US and at 238 nonmilitary hospitals providing maternity services in California. From 2016 to 2019, California Maternal Quality Care Collaborative partnered with Smart Care California to implement multiple approaches to decrease the rates of cesarean delivery. Hospitals with rates of cesarean delivery greater than 23.9% for NTSV births were invited to join 1 of 3 cohorts for an 18-month quality improvement collaborative between July 2016 and June 2019.ExposuresWithin the collaborative, multidisciplinary teams implemented multiple strategies supported by mentorship, shared learning, and rapid-cycle data feedback. Partnerships among nonprofit organizations, state governmental agencies, purchasers, and health plans addressed the external environment through transparency, award programs, and incentives.Main outcomes and measuresThe primary outcome was the change in cesarean delivery rates for NTSV births in California and a difference-in-differences analysis was performed to compare cesarean delivery rates for NTSV births in California vs the rates in the rest of the US. A mixed multivariable logistic regression model that adjusted for patient-level and hospital-level confounders also was used to assess the collaborative and the external statewide actions. The cesarean delivery rates for NTSV births at hospitals participating in the collaborative were compared with the rates from the nonparticipating hospitals and the rates in the participating hospitals prior to participation in the collaborative.ResultsA total of 7 574 889 NTSV births occurred in the US from 2014 to 2019, of which 914 283 were at 238 hospitals in California. All California hospitals were exposed to the statewide actions to reduce the rates of cesarean delivery, including the 149 hospitals that had baseline rates of cesarean delivery greater than 23.9% for NTSV births, of which 91 (61%) participated in the quality improvement collaborative. The rate of cesarean delivery for NTSV births in California decreased from 26.0% (95% CI, 25.8%-26.2%) in 2014 to 22.8% (95% CI, 22.6%-23.1%) in 2019 (relative risk, 0.88; 95% CI, 0.87-0.89). The rate of cesarean delivery for NTSV births in the US (excluding California births) was 26.0% in both 2014 and 2019 (relative risk, 1.00; 95% CI, 0.996-1.005). The difference-in-differences analysis revealed that the reduction in the rate of cesarean delivery for NTSV births in California was 3.2% (95% CI, 1.7%-3.5%) higher than in the US (excluding California). Compared with the hospitals and the periods not exposed to the collaborative activities, and after adjusting for patient characteristics and time using a modified stepped-wedge analysis, exposure to collaborative activities was associated with a lower odds of cesarean delivery for NTSV births (24.4% vs 24.6%; adjusted odds ratio, 0.87 [95% CI, 0.85-0.89]).Conclusions and relevanceIn this observational study of NTSV births in California from 2014 to 2019, the rates of cesarean delivery decreased over time in the setting of the implementation of a coordinated hospital-level collaborative and statewide initiatives designed to support vaginal birth.

Project description:BackgroundCessation of long-term aspirin treatment before noncardiac surgery can cause adverse cardiac events in patients at risk, particularly in those with previous percutaneous coronary interventions (PCI) with stent implantation. The factors influencing the clinical decision to stop aspirin treatment are currently unknown.MethodsIn a single-center, cross-sectional study (retrospective registration: NCT03049566) carried out from February to December 2014, we took a survey among patients scheduled for noncardiac surgery who were under long-term aspirin treatment, and among their treating anesthesiologists using standardized questionnaires on preoperative aspirin use, comorbidities, and risk-benefit assessments. The main objective was to identify factors associated with the decision to stop aspirin treatment. The results of multivariable logistic regressions and intraclass correlations are presented.Results805 patients were included in the study, and 636 questionnaires were returned (203 of which concerned patients with coronary stents). 46.8% of the patients stopped their long-term aspirin treatment before surgery; 38.7% of these patients stopped it too early (>10 days before surgery) or too late (≤ 3 days before surgery). A prior PCI with stent implantation lowered the probability of aspirin cessation (odds ratio [OR] = 0.47 [0.31; 0.72]; p <0.001). On the other hand, patients were more likely to stop their long-term aspirin treatment if it had already been discontinued once before (OR = 4.58 [3.06; 6.84]; p <0.001), if there was a risk of bleeding into a closed space (OR = 4.54 [2.02; 10.22]; p <0.001), if they did not know why they were supposed to take aspirin (OR = 2.12 [1.05; 4.28]; p = 0.036), or if the preoperative consultation with the anesthesiologist occurred <2 days before surgery (OR = 1.60 [1.08; 2.37]; p = 0.018). Patients often assessed the risks related to aspirin cessation lower than their physicians did.ConclusionThis study reveals discordance between guideline recommendations and everyday clinical practice in patients with coronary stents. The early integration of cardiologists and anesthesiologists and a more widespread use of stent implant cards could promote adherence to the guidelines.

Project description:ContextThousands of adults lost coverage after Oregon's Medicaid program implemented cost containment policies in March 2003. Despite the continuation of comprehensive public health coverage for children, the percentage of uninsured children in the state rose from 10.1 percent in 2002 to 12.3 percent in 2004 (over 110,000 uninsured children). Among the uninsured children, over half of them were likely eligible for public health insurance coverage.Research objectiveTo examine barriers low-income families face when attempting to access children's health insurance. To examine possible links between Medicaid cutbacks in adult coverage and children's loss of coverage.Data source/study settingStatewide primary data from low-income households enrolled in Oregon's food stamp program.Study designCross-sectional analysis. The primary predictor variable was whether or not any adults in the household recently lost Medicaid coverage. The main outcome variables were children's current insurance status and children's insurance coverage gaps.Data collectionA mail-return survey instrument was designed to collect information from a stratified, random sample of households with children presumed eligible for publicly funded health insurance programs.Principal findingsOver 10 percent of children in the study population eligible for publicly funded health insurance programs were uninsured, and over 25 percent of these children had gaps in insurance coverage during a 12-month period. Low-income children who were most likely to be uninsured or have coverage gaps were Hispanic; were teenagers older than 14; were in families at the higher end of the income threshold; had an employed parent; or had a parent who was uninsured. Fifty percent of the uninsured children lived in a household with at least one adult who had recently lost Medicaid coverage, compared with only 40 percent of insured children (p=.040). Similarly, over 51 percent of children with a recent gap in insurance coverage had an adult in the household who lost Medicaid, compared with only 38 percent of children without coverage gaps (p<.0001). After adjusting for ethnicity, age, household income, and parental employment, children living in a household with an adult who lost Medicaid coverage after recent cutbacks had a higher likelihood of having no current health insurance (OR 1.44, 95 percent CI 1.02, 2.04), and/or having an insurance gap (OR 1.79, 95 percent CI 1.36, 2.36).ConclusionsUninsured children and those with recent coverage gaps were more likely to have adults in their household who lost Medicaid coverage after recent cutbacks. Although current fiscal constraints prevent many states from expanding public health insurance coverage to more parents, states need to be aware of the impact on children when adults lose coverage. It is critical to develop strategies to keep parents informed regarding continued eligibility and benefits for their children and to reduce administrative barriers to children's enrollment and retention in public health insurance programs.

Project description:Objective This study was aimed to estimate the percentage of women taking opioids post-cesarean who could be detected in a state prescription monitoring program (PMP) and characteristics of those not able to be detected. Study Design This observational cohort study included all women with an Illinois address who delivered via cesarean section and used opioids within 24 hours prior to discharge at a tertiary care hospital between August 21, 2017 and March 1, 2018. The Illinois PMP was queried for presence of an opioid prescription filled within the first 3 months postpartum. Sociodemographic and clinical factors associated with an undetectable PMP record were evaluated in bivariable and multivariable logistic regression analyses. Results A total of 517 women underwent a cesarean delivery during the study period, of whom 344 (66.5%) met inclusion criteria. Of these women, 169 (49%) did not have a detectable PMP record of filling any outpatient postpartum prescription opioid. On bivariable and multivariable logistic regression analysis, year of delivery (2018 vs. 2017) was significantly associated with a higher incidence of detectable postpartum prescription opioid record in the PMP with increasing relative risk of detectable records in the second year of analyses ( n = 110/244 [45%] in 2017 vs. n = 59/100 [59%] in 2018, adjusted risk ratio [aRR] = 1.32, 95% confidence interval [CI]: 1.06-1.64, p = 0.013). No other sociodemographic or clinical characteristics was significantly associated. Conclusion Nearly half of women who underwent a cesarean section and who were administered opioids 24 hours prior to discharge did not have a detectable postpartum opioid prescription in the PMP. While identification of prescription filling improved with time, many of women were not detectable in the PMP system. These data call into question the accuracy of PMPs in identifying prescription opioid filling patterns in the postpartum setting.

Dataset Information

Shifting Patterns in Cesarean Delivery Scheduling and Timing in Oregon before and after a Statewide Hard Stop Policy.

Objectives

Data sources

Study design

Data collection/extraction methods

Principal findings

Conclusions

Publications

Shifting Patterns in Cesarean Delivery Scheduling and Timing in Oregon before and after a Statewide Hard Stop Policy.

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