BACKGROUND: Findings on the association between early high protein provision and mortality in ICU patients are inconsistent. The relation between early high protein provision and mortality in patients receiving CRRT remains unclear. The aim was to study the association between early high protein provision and hospital and ICU mortality and consistency in subgroups.METHODS: A retrospective cohort study was conducted in 2618 ICU patients with a feeding tube and mechanically ventilated ≥48 h (2003-2016). The association between early high protein provision (≥1.2 g/kg/day at day 4 vs. <1.2 g/kg/day) and hospital and ICU mortality was assessed for the total group, for patients receiving CRRT, and for non-septic and septic patients, by Cox proportional hazards analysis. Adjustments were made for APACHE II score, energy provision, BMI, and age.RESULTS: Mean protein provision at day 4 was 0.96 ± 0.48 g/kg/day. A significant association between early high protein provision and lower hospital mortality was found in the total group (HR 0.48, 95% CI 0.39-0.60, p = <0.001), CRRT-receiving patients (HR 0.62, 95% CI 0.39-0.99, p = 0.045) and non-septic patients (HR 0.56, 95% CI 0.44-0.71, p = <0.001). However, no association was found in septic patients (HR 0.71, 95% CI 0.39-1.29, p = 0.264). These associations were very similar for ICU mortality. In a sensitivity analysis for patients receiving a relative energy provision >50%, results remained robust in all groups except for patients receiving CRRT.CONCLUSIONS: Early high protein provision is associated with lower hospital and ICU mortality in ICU patients, including CRRT-receiving patients. There was no association for septic patients.
Purpose: The aims of this study were to investigate how a variety of research methods is commonly employed to study technology and practitioner cognition. User-interface issues with infusion pumps were selected as a case because of its relevance to patient safety. Methods: Starting from a Cognitive Systems Engineering perspective, we developed an Impact Flow Diagram showing the relationship of computer technology, cognition, practitioner behavior, and system failure in the area of medical infusion devices. We subsequently conducted a systematic literature review on user-interface issues with infusion pumps, categorized the studies in terms of methods employed, and noted the usability problems found with particular methods. Next, we assigned usability problems and related methods to the levels in the Impact Flow Diagram. Results: Most study methods used to find user interface issues with infusion pumps focused on observable behavior rather than on how artifacts shape cognition and collaboration. A concerted and theorydriven application of these methods when testing infusion pumps is lacking in the literature. Detailed analysis of one case study provided an illustration of how to apply the Impact Flow Diagram, as well as how the scope of analysis may be broadened to include organizational and regulatory factors. Conclusion: Research methods to uncover use problems with technology may be used in many ways, with many different foci. We advocate the adoption of an Impact Flow Diagram perspective rather than merely focusing on usability issues in isolation. Truly advancing patient safety requires the systematic adoption of a systems perspective viewing people and technology as an ensemble, also in the design of medical device technology.
Introduction: Throughout life, a patient with severe haemophilia is confronted with many treatment-related challenges. Insight into self-management and non-adherence could improve the quality of care for these patients. The aim of this study was to provide an overview of the current evidence on self-management and adherence to prophylaxis in haemophilia. Method: Based on series of studies and published literature, aspects of treatment were explored: learning and performing self-infusion, achieving self-management skills in adolescence, adherence issues and coping with haemophilia. Evidence-based and age-group-specific recommendations for haemophilia professionals were formulated. Results: Nearly, all severe haemophilia patients and parents were able to perform self-infusion and the quality level of infusion skills was acceptable. Learning self-infusion was generally initiated before the onset of puberty and full self-management was obtained 10 years later. Adherence was defined using a Delphi consensus procedure and was determined by skipping, dosing and timing of infusions. Adherence levels varied according to age, with highest levels in children (1–12 years) and the lowest among 25–40 years. Adherence to prophylaxis was acceptable (43%), yet 57% of the population struggled with prophylaxis. Qualitative research showed that the position of prophylaxis in life is the main driver of adherence. This position is influenced by acceptance and self-management skills. Regarding coping with haemophilia, the majority of patients used a problem-focused approach. Conclusion: Self-management and adherence to prophylaxis vary during the life span. Acceptance of the disease and self-management skills were important aspects that may require tailored professional support.
