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1.
Obstet Gynecol ; 131(4): 688-695, 2018 04.
Article in English | MEDLINE | ID: mdl-29528918

ABSTRACT

OBJECTIVE: To evaluate the success of a quality improvement initiative to reduce early elective deliveries at less than 39 weeks of gestation and improve birth registry data accuracy rapidly and at scale in Ohio. METHODS: Between February 2013 and March 2014, participating hospitals were involved in a quality improvement initiative to reduce early elective deliveries at less than 39 weeks of gestation and improve birth registry data. This initiative was designed as a learning collaborative model (group webinars and a single face-to-face meeting) and included individual quality improvement coaching. It was implemented using a stepped wedge design with hospitals divided into three balanced groups (waves) participating in the initiative sequentially. Birth registry data were used to assess hospital rates of nonmedically indicated inductions at less than 39 weeks of gestation. Comparisons were made between groups participating and those not participating in the initiative at two time points. To measure birth registry accuracy, hospitals conducted monthly audits comparing birth registry data with the medical record. Associations were assessed using generalized linear repeated measures models accounting for time effects. RESULTS: Seventy of 72 (97%) eligible hospitals participated. Based on birth registry data, nonmedically indicated inductions at less than 39 weeks of gestation declined in all groups with implementation (wave 1: 6.2-3.2%, P<.001; wave 2: 4.2-2.5%, P=.04; wave 3: 6.8-3.7%, P=.002). When waves 1 and 2 were participating in the initiative, they saw significant decreases in rates of early elective deliveries as compared with wave 3 (control; P=.018). All waves had significant improvement in birth registry accuracy (wave 1: 80-90%, P=.017; wave 2: 80-100%, P=.002; wave 3: 75-100%, P<.001). CONCLUSIONS: A quality improvement initiative enabled statewide spread of change strategies to decrease early elective deliveries and improve birth registry accuracy over 14 months and could be used for rapid dissemination of other evidence-based obstetric care practices across states or hospital systems.


Subject(s)
Cesarean Section , Elective Surgical Procedures/statistics & numerical data , Hospitals/standards , Labor, Induced , Quality Improvement/organization & administration , Data Accuracy , Female , Gestational Age , Humans , Ohio , Pregnancy , Pregnancy Trimester, Third , Registries
2.
Matern Child Health J ; 18(7): 1683-90, 2014 Sep.
Article in English | MEDLINE | ID: mdl-24343308

ABSTRACT

To identify perceived roles with regard to care for women with gestational diabetes mellitus (GDM) history and resources for improving care among women with a history of GDM from the perspective of obstetrician/gynecologists (OB/GYNs), certified nurse midwives (CNM), family practitioners, and internists. In 2010, a survey was sent to a random sample of OB/GYNs, CNM, family practitioners, and internists (n = 2,375) in Ohio to assess knowledge, attitudes, and postpartum practices regarding diabetes prevention for women with a history of GDM. A total of 904 practitioners completed the survey (46 %). Over 70 % of CNMs strongly agreed it is part of their job to help women with GDM history improve diet and increase exercise, compared with 60 % of family practitioners/internists and 55 % of OB/GYNs (p < 0.001). More OB/GYNs and CNMs identified a need for more local nutrition specialists and patient education materials, compared with family practitioners/ internists. Between 60 and 70 % of OB/GYNs and CNMs reported lifestyle modification programs and corresponding reimbursement would better support them to provide improved care. Health care providers giving care to women with GDM history have varying perceptions of their roles, however, there was agreement on resources needed to improve care.


Subject(s)
Diabetes, Gestational/therapy , Health Behavior , Maternal Health Services/standards , Quality of Health Care , Female , Health Care Surveys , Humans , Male , Maternal Health Services/statistics & numerical data , Needs Assessment , Postnatal Care , Pregnancy
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