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Literature suggests that using behavioral theory to inform research can improve the efficiency of knowledge translation (KT) interventions and guide their implementation. Therefore, we conducted a scoping review of the use of behavioral theories, models, and frameworks in the published literature to guide the implementation of evidence-informed decision-making (EIDM) interventions. We used a thorough two-step search strategy to retrieve articles fulfilling the inclusion criteria published through August 2022. Two reviewers initially screened the articles individually, followed by two reviewers who independently reviewed the articles' full text. We critically appraised 90 full-text articles from 3172 retrieved articles based on inclusion and exclusion criteria. We finally included 19 articles for qualitative synthesis, which included the elements of KT intervention, underlying theories/models of behavior change and the purpose of their use, and facilitators and barriers to KT intervention. Our results showed that no study explicitly focused on EIDM and simultaneously utilized behavioral theories to design or inform the implementation of an intervention. Furthermore, we found that the Theoretical Domain Framework, the Theory of Planned Behavior, the Behavioral Change Wheel, and the Capability, Opportunity, and Motivation Behavior Model were most frequently used to guide the implementation of KT interventions. Our study identified a vital gap that must be filled in relation to EIDM research on intervention implementation. Thus, our findings can support and enrich those planning to launch an EIDM initiative in terms of selecting the base theory/model/framework, anticipating the facilitators and barriers to implementation, and determining the most appropriate intervention component. [ABSTRACT FROM AUTHOR]

Objective: To compare cost‐effectiveness of oral sildenafil citrate, administered after onset of labor, with standard care to health system funders in the UK and Australia. Methods: We conducted a modeled cost‐effectiveness analysis, measuring costs and quality adjusted life years (QALYs), using a decision‐analytic model covering onset of labor to 1 month post‐birth. The relative risk of emergency cesarean section and operative vaginal birth was taken from a Phase 2 placebo controlled double blinded randomized control trial. Results: Both options of care resulted in the same QALYs gained over the model time period (0.08). Sildenafil citrate was cost‐saving compared with standard care, saving £92 per birth in the UK (AU$303 per birth in Australia). Sensitivity analyses did not identify any areas of uncertainty that stopped sildenafil citrate being cost saving compared with standard care. Threshold analysis revealed that sildenafil citrate would be cost saving up to a per birth drug or administration cost of £152.32 in the UK (AU$333.61 in Australia). Conclusion: Oral sildenafil citrate may be cost saving compared with standard care; however, the effects on neonatal outcomes still need to be demonstrated in large randomized trials. Synopsis: Oral sildenafil‐citrate may be cost saving compared with standard care; however, the effects on neonatal outcomes still need to be demonstrated in large randomized trials. [ABSTRACT FROM AUTHOR]

Market agents with renewable resources face amplified uncertainty when forecasting energy production to securely place bids in electricity markets. To deal with uncertainties, stochastic modelling has been applied to optimize the bidding strategy of these market agents. However, studies found in the literature usually focus on day-ahead and balancing markets, leaving aside intraday markets that could be used to correct bidding positions as uncertainty gets resolved. This paper proposes a multistage stochastic decision-aid algorithm based on linear programming to optimize the bidding strategy of market agents in three different electricity markets - day-ahead, intraday, and balance markets. The market agent represents a Virtual Power Plant with wind, solar PV, and storage technologies, and its participation in three electricity markets was compared to the participation in DA and BM markets only. Results show that participating in all three markets increased the profit achieved by the VPP agent by 10.1% while also decreasing the incurred imbalances by 63.8%. The results demonstrate that having accurate tools to deal with the multi-settlement framework of electricity markets while considering the uncertainties of daily operations is key to a successful integration of renewable energy resources into electricity markets and power systems. • Multistage stochastic optimization model for optimal bidding of VPP agents. • The participation in day-ahead, intraday and balance markets is considered. • Scenarios for wind and solar energy and market prices model uncertainties. • Results of the proposed approach are compared with participating in the day-ahead and balance markets only. [ABSTRACT FROM AUTHOR]