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Keywords
Aim
This study aimed to identify and compare age stereotypes of registered nurses and supervisors in clinical inpatient settings.
Design
Generic qualitative study using half‐standardized interviews.
Method
Nineteen face‐to‐face interviews and five focus groups (N = 50) were conducted with nurses of varying levels at a hospital of maximum medical care in Germany between August and November 2018 and were subjected to structured qualitative content analysis.
Results
Reflecting the ageing process and cooperation in mixed‐age teams, nursing staff and supervisors defined similar age stereotypes towards older and younger nurses reminiscent of common generational labels ‘Baby Boomers’ and Generations X. Their evaluation created an inconsistent and contradictory pattern differing to the respective work context and goals. Age stereotypes were described as both potentially beneficial and detrimental for the individual and the cooperation in the team. If a successfully implemented diversity management focuses age stereotypes, negative assumptions can be reduced and cooperation in mixed‐age teams can be considered beneficial.
Conclusion
Diversity management as measures against age stereotypes and for mutual acceptance and understanding should include staff from various hierarchical levels of the inpatient setting.
Ruxolitinib (RUX) is approved for the treatment of steroid-refractory acute and chronic graft versus host disease (GvHD). It is predominantly metabolized via cytochrome P450 (CYP) 3A4. As patients with GvHD have an increased risk of invasive fungal infections, RUX is frequently combined with posaconazole (POS), a strong CYP3A4 inhibitor. Knowledge of RUX exposure under concomitant POS treatment is scarce and recommendations on dose modifications are inconsistent. A physiologically based pharmacokinetic (PBPK) model was developed to investigate the drug–drug interaction (DDI) between POS and RUX. The predicted RUX exposure was compared to observed concentrations in patients with GvHD in the clinical routine. PBPK models for RUX and POS were independently set up using PK-Sim\(^®\) Version 11. Plasma concentration-time profiles were described successfully and all predicted area under the curve (AUC) values were within 2-fold of the observed values. The increase in RUX exposure was predicted with a DDI ratio of 1.21 (C\(_{max}\)) and 1.59 (AUC). Standard dosing in patients with GvHD led to higher RUX exposure than expected, suggesting further dose reduction if combined with POS. The developed model can serve as a starting point for further simulations of the implemented DDI and can be extended to further perpetrators of CYP-mediated PK-DDIs or disease-specific physiological changes.