Introduction There is limited research addressing the experiences of patients in inpatient rehabilitation (rehabilitation), who often spend long periods in hospital, and the nursing approaches utilized. Aim Based on evidence that motivational interviewing (MI) may improve nursing practice, this was a pilot study evaluating the feasibility of training rehabilitation nurses in MI and measuring patient experience. Method Nurses underwent training and supervision focusing on MI spirit. Quantitative and qualitative measures were taken pretraining, 2 months post-training and 8 months post-training. Expert-by-experience research assistants facilitated patients' participation in the study. Results This study showed that training rehabilitation nurses in MI was feasible and relevant to their work. Patients participated in interviews and focus groups with support and potential improvements that require further empirical investigation in patient experience were found following the MI training. Discussion This pilot study establishes the feasibility of a larger study addressing efficacy. Tentative qualitative findings question whether interactions between nurses and patients are valued in rehabilitation and support MI as a promising skill set for rehabilitation nurses. Implications for practice Bringing MI into inpatient rehabilitation provoked reflection on nursing practice. Dilemmas for nurses about balancing safety with promoting autonomy and communicating constructively with patients emerged as important.

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The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale‐up include mass transfer rates, mixing times, shear rates, gas hold‐up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single‐phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale‐up from a known 2kL to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.

This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper examines interest rate spreads in English-speaking African countries. Higher spreads were found to be associated with lower inflation, a greater number of banks, and greater public ownership of banks. Higher deposit interest rates were found to be associated with lower interest rate spreads, but higher net interest margins. A large increase in spreads in the late 1980s and 1990s may be explained by a strengthening of financial sector supervision. Limited data suggested that poor governance, weak regulatory frameworks and property rights, and higher required reserve ratios are associated with higher spreads. JEL Classification Numbers: E43

This study examines the pharmaceutical websites of 44 leading direct-to-consumer (DTC) advertised drugs to determine the extent to which risk information was completely communicated. Three operational definitions of "completeness" were used: communication of the single highest incidence side effect, communication of top three highest incidence side effects, and communication of side effects with incidence of >or= 10% (all measured in terms of absolute percentage). Results indicated that regardless of the measures used, pharmaceutical websites are unlikely to completely communicate risk information. About two thirds of all sites communicated the single highest incidence side effect or all top three side effects. For drugs with side effects at >or= 10% incidence, only about half of their websites fully reported all effects at this level of incidence. Implications for advertisers and regulatory agencies are presented.