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Objectives Excessive opioid prescribing is a contributing factor to the opioid epidemic in the USA. We aimed to develop, implement and evaluate the usability of a clinical decision-making mobile application (app) for opioid prescription after surgery.Methods We developed two clinical decision trees, one for opioid prescription after adult laparoscopic cholecystectomy and one for posterior spinal fusion surgery in adolescents. We developed a mobile app incorporating the two algorithms with embedded clinical decision-making, which was tested by opioid prescribers. A survey collected prescription intention prior to app use and participants’ evaluation. Participants included opioid prescribers for patients undergoing (1) laparoscopic cholecystectomy in adults or (2) posterior spinal fusion in adolescents with idiopathic scoliosis.Results Eighteen healthcare providers were included in this study (General Surgery: 8, Paediatrics: 10). Intended opioid prescription before app use varied between departments (General Surgery: 0–10 pills (mean=5.9); Paediatrics: 6–30 pills (mean=20.8)). Intention to continue using the app after using the app multiple times varied between departments (General Surgery: N=3/8; Paediatrics: N=7/10). The most reported reason for not using the app is lack of time.Conclusions In this project evaluating the development and implementation of an app for opioid prescription after two common surgeries with different prescription patterns, the surgical procedure with higher intended and variable opioid prescription (adolescent posterior spinal fusion surgery) was associated with participants more willing to use the app. Future iterations of this opioid prescribing intervention should target surgical procedures with high variability in both patients’ opioid use and providers’ prescription patterns.

Introduction Cardiovascular and cerebrovascular diseases (CCVDs) are the leading cause of maternal mortality in the first year after delivery. Women whose pregnancies were complicated by pre-eclampsia are at particularly high risk for adverse events. In addition, women with a history of pre-eclampsia have higher risk of CCVD later in life. The physiological mechanisms that contribute to increased CCVD risk in these women are not well understood, and the optimal clinical pathways for postpartum CCVD risk reduction are not yet defined.Methods and analysis The Motherhealth Study (MHS) is a prospective cohort study at Columbia University Irving Medical Center (CUIMC), a quaternary care academic medical centre serving a multiethnic population in New York City. MHS began recruitment on 28 September 2018 and will enrol 60 women diagnosed with pre-eclampsia with severe features in the antepartum or postpartum period, and 40 normotensive pregnant women as a comparison cohort. Clinical data, biospecimens and measures of vascular function will be collected from all participants at the time of enrolment. Women in the pre-eclampsia group will complete an additional three postpartum study visits over 12–24 months. Visits will include additional detailed cardiovascular and cerebrovascular phenotyping. As this is an exploratory, observational pilot study, only descriptive statistics are planned. Data will be used to inform power calculations for future planned interventional studies.Ethics and dissemination The CUIMC Institutional Review Board approved this study prior to initiation of recruitment. All participants signed informed consent prior to enrolment. Results will be disseminated to the clinical and research community, along with the public, on completion of analyses. Data will be shared on reasonable request.