Development and Implementation of Maternity Dashboard in Regional Hospital for Quality Improvement at Ground Level: A Pilot Study.

OBJECTIVES: We sought to develop and implement a Maternity Dashboard to improve the quality of health care at the ground level. METHODS: We conducted a prospective, descriptive cross-sectional study, involving patients with high-risk pregnancies who had been referred to Nizwa Hospital, Oman. The selection of quality indicators was based on the prototype of clinical outcomes from the Royal College of Obstetricians and Gynecologists. The Maternity Dashboard team adapted local parameters and used preselected general parameters, based on clinical observations, to develop the dashboard. RESULTS: The issues posing a threat to Nizwa Hospital in becoming a world-class healthcare facility were: overbooked outpatient department, insufficient staff, and more junior doctors compared to senior doctors and consultants. Additionally, being pioneers, naturally, the dashboard development team faced difficulties while handling adverse situations. More time, guidance, and standardization of quality indicators are desirable. CONCLUSIONS: Following the approval for a Maternity Dashboard in Nizwa Hospital, the data compiled in an Excel sheet are transmitted manually every month for display on the dashboard in the delivery suite. It is intended to make data collected and dissemination completely automated in the future with the help of the Al-Shifa Healthcare Information System. Expansion of the idea of a Maternity Dashboard to other hospitals and specialties at the regional and tertiary level of the health care system in Oman and a comparison of the standard of health care provided between hospitals based on similar quality indicators would be the next milestone.

Decision-to-Delivery Time Intervals in Emergency Caesarean Section Cases: Repeated cross-sectional study from Oman.

OBJECTIVES: In cases of fetal intolerance to labour, meeting the standard decision-to-delivery time interval (DDI) of ≤30 minutes is challenging. This study aimed to assess DDIs in emergency Caesarean section (CS) cases to identify factors causing DDI delays and the impact of a delayed DDI on perinatal outcomes. METHODS: This repeated cross-sectional study included all emergency CS procedures performed due to acute fetal distress, antepartum haemorrhage or umbilical cord prolapse at the Nizwa Hospital, Nizwa, Oman. Three audit cycles of three months each were conducted between April 2011 and June 2013, including an initial retrospective cycle and two prospective cycles following the implementation of improvement strategies to address factors causing DDI delays. Poor perinatal outcomes were defined as Apgar scores of <7 at five minutes, admission to the Special Care Baby Unit (SCBU) or a stillbirth. RESULTS: In the initial cycle, a DDI of ≤30 minutes was achieved in 23.8% of 84 cases in comparison to 44.6% of 83 cases in the second cycle. In the third cycle, 60.8% of 79 women had a DDI of ≤30 minutes (P <0.001). No significant differences in perinatal outcomes for cases with a DDI of ≤30 minutes versus 31-60 minutes were observed; however, a DDI of >60 minutes was significantly associated with poor neonatal outcomes in terms of increased SCBU admissions and low Apgar scores (P <0.001 each). Factors causing DDI delays included obtaining consent for the CS procedure, a lack of operating theatre availability and moving patients to the operating theatre. CONCLUSION: The identification of factors causing DDI delays may provide opportunities to improve perinatal outcomes.

Polyhydramnios as a predictor of adverse pregnancy outcomes.

OBJECTIVES: This study aimed to ascertain the frequency of polyhydramnios in singleton pregnancies, to determine the associated risk factors, and assess the adverse maternal and perinatal outcomes. METHODS: A retrospective cohort study of all singleton pregnancies complicated with polyhydramnios after 28 weeks of gestation was carried out in Nizwa Hospital's Obstetrics & Gynecology Department, Oman, from January 2002 to December 2007. Of 25,979 pregnant women reviewed, 477 were found to have polyhydramnios. The control group consisted of 900 pregnant women. Cases of polyhydramnios were diagnosed as mild, moderate, or severe based on their highest amniotic fluid index. Cases were compared with controls in terms of demographic data; prevalence of diabetes, macrosomia, or Caesarean deliveries; frequency of fetal anomalies, and perinatal mortality rate. RESULTS: Polyhydramnios was diagnosed in 1.8% of pregnancies. It was mild in 382 (80%), moderate in 84 (17.6%), and severe in 12 (2.4%). A total of 72 (15.3 %) cases of polyhydramnios were complicated by diabetes (gestational or established diabetes mellitus) as compared to 10% of the control group and 39 (8.1%) neonates had congenital anomalies. Polyhydramnios was associated with advanced maternal age; 58 (12.2%) of subjects were over 40 years old. The perinatal mortality rate with polyhydramnios was 42 per 1,000 births compared to 14 per 1000 births in the control group. CONCLUSION: These data demonstrate that polyhydramnios is associated with an increased risk of adverse perinatal outcomes, and there is a significant positive relation with maternal age, diabetes, fetal anomalies, and fetal macrosomia.