Established Evidence Results

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Below are articles that support specific interventions to advance MCH National Performance Measures (NPMs) and Standardized Measures (SMs). Most interventions contain multiple components as part of a coordinated strategy/approach.

Displaying records 1 through 3 (3 total).

Haydar, A., Vial, Y., Baud, D., & Desseauve, D. (2017). Evolution of cesarean section rates according to Robson classification in a swiss maternity hospital. Revue Médicale Suisse, 13(580):1846-1851.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): HOSPITAL, Peer-Review of Provider Decisions, Elective Induction Policy, Guideline Change and Implementation, PATIENT_CONSUMER, Intensive Therapy, Psychoeducation

Intervention Description: We conducted a retrospective study was conducted in the Centre Hospitalier Universitaire Vaudois (CHUV) including all births between the 1st January 1997 and 31st December 2011 to analyze the cesarean section (CS) rate using the different groups of the Robson classification in a Swiss maternity hospital.

Intervention Results: The overall CS rate was 29 %, mainly related to group 5 (multiparous with previous CS) and group 2 (nulliparous women induced or who had CS before labor). The study also shows that induction of labor on maternal request in nulliparous at term (group 2a) increased significantly the risk of CS compared to induction of labor for medical reason (p<0.001).

Conclusion: The Robson classification system appears as a simple tool for monitoring CS rates. The main strategies for reducing CS rates will be through better selection of women for VBAC (vaginal birth after caesarean) and limitation of induction of labor, especially in nulliparous women.

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Hoekstra R, Fangman, J., Perkett, E., Brasel, D., & Knox, G.E. Regionalization of Perinatal Care: Results of a Cooperative Community Based Program. Minn Med. 1981;64(10):637-640.

Evidence Rating: Emerging Evidence

Intervention Components (click on component to see a list of all articles that use that intervention): HOSPITAL, Continuing Education of Hospital Providers, Peer-Review of Provider Decisions, POPULATION-BASED SYSTEMS, INTER-HOSPITAL SYSTEMS, Maternal/In-Utero Transport Systems, Consultation Systems (Inter-Hospital Systems), Consultation Systems (Hospital), Agreement for Level III Hospital to Accept All Patients, Medical Staff Integration

Intervention Description: Not available

Intervention Results: After the intervention, there was a statistically significant decrease in the number of VLBW infants born in a level II hospital (p<0.01).

Conclusion: Not available

Study Design: QE: pretest-posttest

Setting: Minnesota: Abbott-Northwestern/ Minneapolis Children’s Perinatal Center and Fairview-Southdale Hospital (Level II)

Population of Focus: All births at level II hospital

Data Source: Data source not provided.

Sample Size: Pretest (n= 2,573) Posttest (n= 2,722)

Age Range: Not specified

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Warner B, Altimier L, Imhoff S. Clinical excellence for high risk neonates: improved perinatal regionalization through coordinated maternal and neonatal transport. Neonatal Intensive Care. 2002;15(6):33-38.

Evidence Rating: Emerging Evidence

Intervention Description: To improve outcomes and maximize resource utilization, a regionalized system for high-risk perinatal and neonatal care is recommended.

Intervention Results: There was a significant decrease of 63% in the number of VLBW births at level II hospital after intervention (p-value and statistical test not indicated). The annual number of maternal transports to level III hospital increased 258% after intervention from an average of 38 per year to 98. The authors do not comment on statistical significance of this result.

Conclusion: With this process we were able to maintain a single level III subspecialty center, increase high-risk maternal transport, decrease neonatal transport, and limit VLBW deliveries outside of the level III subspecialty center.

Study Design: QE: pretest-posttest

Setting: Ohio, TriHealth Hospital System Two level II and one level III hospital

Population of Focus: Total sample size not given for pretest and posttest periods.

Data Source: Data from the National Institute of Child Health and Human Development Neonatal Research Network registry, the Regional Perinatal Database, and hospital records.

Sample Size: Total sample size not given for pretest and posttest periods.

Age Range: Not specified

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