Aim: This study explores what type of information patients and nurses share with, or provide to, each other, and whether or not the information received was relevant and sufficient for their needs. Background: Information exchange, as part of shared decision-making, is advocated in policy and practice throughout the healthcare sector. Much of the literature on information exchange relates to one-to-one consultations with consultants or GPs. To date, no studies have explored information exchange between patients and nurses in ward settings. Nursing literature on patients’ information needs focuses on one-way information provision from nurses to patients, rather than on two-way information exchange between patients and nurses. Methods: Interactions between patients and nurses were observed and audio-recorded using a remotely controlled audio-recording system. Semi-structured individual face-to-face interviews were then conducted to clarify and add to the observation data. A multiple case study design was used for this study: each case comprised one patient, the nurses caring for that patient, and the interactions between them. A pilot study was undertaken to inform the methods for recruitment and data collection for the main study. Results: The pilot study comprised five cases (patients n=5, nurses n=3). Changes to the recruitment strategy for the main study included surgical patients being invited to participate in the same way as medical patients. There were no difficulties with the data collection methods. The main study comprised nineteen cases (patients n=19, nurses n=22). Information exchange seemed unfamiliar to ward-based nurses. The findings show that information exchange may not be a one-off event but a complex series of interactions. Patients did not distinguish between clinical and non-clinical information in the same way as nurses. Primary reasons for patients’ hospital admission were not discussed and nurses did not share information about nursing interventions. The relevance for patients and nurses differed; patients generally wanted information for reducing anxiety and socialization; nurses wanted information for assessment and care planning. In terms of sufficiency, observation sessions highlighted that insufficient information was provided, often due to lost opportunities and paternalistic practice. However, the majority of patients and nurses perceived that they had exchanged sufficient information. Conclusion: This multiple case study provides insights into the type, relevance and sufficiency of information for patients and nurses in ward settings. In ward settings, information exchange as conceptualised by Charles et al. (1997 and 1999) may be difficult to achieve due to the complexity of patient/nurse interactions. Therefore, there are implications for policy makers as policies are not context specific. However, information exchange may be helpful for reducing patients’ anxieties. The concepts of shared decision-making and information exchange are not part of ward-based cultures and philosophies, which suggests implications for patient and nurse education. Research on information exchange between patients and nurses in other ward contexts may contribute to further understanding of information exchange in ward settings.

Poor input data quality used in repairable spare parts forecasting by aerospace small and midsize enterprises (SME) suppliers results in poor inventory practices that manifest into higher costs and critical supply shortage risks. Guided by the data quality management (DQM) theory as the conceptual framework, the purpose of this exploratory multiple case study was to identify the key strategies that the aerospace SME repairable spares suppliers use to maximize their input data quality used in forecasting repairable spare parts. The multiple case study comprised of a census sample of 6 forecasting business leaders from aerospace SME repairable spares suppliers located in the states of Florida and Kansas. The sample was collected via semistructured interviews and supporting documentation from the consenting participants and organizational websites. Eight core themes emanated from the application of the content data analysis process coupled with methodological triangulation. These themes were labeled as establish data governance, identify quality forecast input data sources, develop a sustainable relationship and collaboration with customers and vendors, utilize a strategic data quality system, conduct continuous input data quality analysis, identify input data quality measures, incorporate continuous improvement initiatives, and engage in data quality training and education. Of the 8 core themes, 6 aligned to the DQM theory's conceptual constructs while 2 surfaced as outliers. The key implication of the research toward positive social change may include the increased situational awareness for SME forecasting business leaders to focus on enhancing business practices for input data quality to forecast repairable spare parts to attain sustainable profits.