ObjectiveTo assess the effect of the Pregnant+ app on the 2-hour glucose level of the routine postpartum oral glucose tolerance test (OGTT) among women with gestational diabetes mellitus (GDM). The Pregnant+ app was designed to provide information about GDM, and promote physical activity and a healthy diet.DesignA multicentre, non-blinded randomised controlled trial.SettingFive diabetes outpatient clinics in the Oslo region.ParticipantsWomen ≥18 years old with a 2-hour OGTT blood glucose level ≥9 mmol/L who owned a smartphone; understood Norwegian, Urdu or Somali; and were <33 weeks pregnant. A total of 238 women were randomised; 158 women completed the OGTT post partum.InterventionThe Pregnant+ app and usual care, the control group received usual care.Primary and secondary outcomesThe primary outcome was the 2-hour blood glucose level of the routine postpartum OGTT. Secondary outcomes reported were mode of delivery, induction of labour, Apgar score, birth weight, transfer to the neonatal intensive care unit and breast feeding practice. Blood glucose levels during pregnancy, knowledge of diabetes, diet and physical activity are not reported.ResultsNo difference was found for the 2-hour blood glucose level of the postpartum OGTT, with 6.7 mmol/L (95% CI 6.2 to 7.1) in the intervention group and 6.0 mmol/L (95% CI 5.6 to 6.3) in the control group. The significant difference in the proportion of emergency caesarean sections between the intervention group, 10 (8.8%) and the usual care group, 27 (22.1%), disappeared when adjusted for parity. There were no differences in birth weight, breast feeding practice, obstetric complications or transfer to the intensive neonatal care unit. No adverse events were registered.ConclusionThe Pregnant+ app had no effect on 2-hour glucose level at routine postpartum OGTT. After controlling for parity, the difference in emergency caesarean section was not statistically significant.Trial registration number NCT02588729.

IntroductionThe promotion of a healthy diet, physical activity and measurement of blood glucose levels are essential components in the care for women with gestational diabetes mellitus (GDM). Smartphones offer a new way to promote health behaviour. The main aim is to investigate if the use of the Pregnant+ app, in addition to standard care, results in better blood glucose levels compared with current standard care only, for women with GDM.Methods and analysisThis randomised controlled trial will include 230 pregnant women with GDM followed up at 5 outpatient departments (OPD) in the greater Oslo Region. Women with a 2-hour oral glucose tolerance test (OGTT) ≥9 mmol/L, who own a smartphone, understand Norwegian, Urdu or Somali and are <33 weeks pregnant, are invited. The intervention group receives the Pregnant+ app and standard care. The control group receives standard care only. Block randomisation is performed electronically. Data are collected using self-reported questionnaires and hospital records. Data will be analysed according to the intention-to-treat principle. Groups will be compared using linear regression for the main outcome and χ2 test for categorical data and Student's t-test or Mann-Whitney-Wilcoxon test for skewed distribution. The main outcome is the glucose level measured at the 2-hour OGTT 3 months postpartum. Secondary outcomes are a change in health behaviour and knowledge about GDM, quality of life, birth weight, mode of delivery and complications for mother and child.Ethics and disseminationThe study is exempt from regional ethics review due to its nature of quality improvement in patient care. Our study has been approved by the Norwegian Social Science Data Services and the patient privacy protections boards governing over the recruitment sites. Findings will be presented in peer-reviewed journals and at conferences.Trial registration numberNCT02588729, Post-results.

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This paper presents a methodology for assessing security, privacy and dependability (SPD) of embedded systems. The methodology, developed through the European collaboration SHIELD, is applied for the smart grid network as deployed in the South of Norway. Three Smart Grid use cases are analysed in detail, being billing, home control and alarm.The SHIELD methodology uses a Multi-Metrics approach to evaluate the system SPD level during running processes and compares it with use case goals for S, P, and D. The simplicity, applicability, and scalability of the suggested Multi-Metrics approach is demonstrated in this paper. It shows that a single configuration is not sufficient to satisfy the given goals for all use cases.