Ordering Interruptions in a Tertiary Care Center: A Prospective Observational Study

Interruption in the work of nursing professionals: conceptual analysis

OBJECTIVES

to analyze the concept of "interruption in the work of nursing professionals".

METHODS

conceptual study according to the method proposed by Walker and Avant through integrative literature review. The study searched the databases using the descriptors: "Attention", "Attention Bias", "Health Personnel", "Nurses", "Patient Safety" and "Medical Malpractices". The sample consisted of 36 studies.

RESULTS

the antecedents were alarms, answering phone calls, providing patient care, and lack of material/medicine. The defining attributes were pause, suspension, breakage, and intrusion. In relation to the consequences, the study highlighted the increase in frequency and severity of medication errors and change of focus.

FINAL CONSIDERATIONS

theconceptual analysis identified the attributes, antecedents, and consequences and allowed to build an operational definition for "interruption in the work of nursing professionals". It will contribute to the improvement of the work process and the creation of strategies that ensure safer care for the patient.

Interruptions to Attending Physician Rounds and Their Effect on Resident Education

BACKGROUND

Daily attending rounds (AR) are a cornerstone of teaching and patient care in academic health centers. Interruptions in health care are common and can cause increased risk of errors, incomplete work, and decreased decision-making accuracy. Interruptions to AR may diminish a trainee's capacity to learn and retain information.

OBJECTIVE

We characterized and quantified interruptions that occur during AR.

METHODS

We used a mixed-methods design combining a prospective observational study with a qualitative study. AR were observed January to March 2020 to characterize interruptions, followed by semi-structured interviews with the observed physicians to elucidate the effect of interruptions on workflow and the educational value of rounds.

RESULTS

There were 378 observed interruptions over the course of 30 AR sessions, averaging 12.6 (range 1-22, median 13) interruptions per rounding session. Bedside nursing staff was the most common source of interruptions (25%) and consultant recommendations was the most common topic of interruption (21%). Most interruptions occurred during patient presentations (76%), and the most common method of interaction was text message (24%). Most team members described negative effects of interruptions, including loss of focus and missing critical clinical information; some also reported that certain interruptions had positive effects on education and clinical care. Interns were more likely to report negative emotional reactions to interruptions.

CONCLUSIONS

AR are frequently interrupted for non-urgent topics by a variety of methods and sources. Negative effects included loss of focus, missed information, and increased stress. Proactive communication, particularly between physicians and nurses, was suggested to reduce interruptions.

A Nomogram to Predict the 28-day Mortality of Critically Ill Patients With Acute Kidney Injury and Treated With Continuous Renal Replacement Therapy

BACKGROUND

Acute kidney injury (AKI) is a severe and common complication in critically ill patients and is associated with increased morbidity and mortality. At present, there is not a tool to predict the prognosis of critically ill patients with AKI and treated with continuous renal replacement therapy (CRRT).

METHODS

A retrospective cohort study was to construct a prediction model for the 28-day mortality of patients with AKI and treated with CRRT. From January 2009 to September 2016, A total of 846 cases were included in our study.

RESULTS

A total of five variables selected by multi-factor Cox regression analysis were used to constructed three predictive models and adopted bootstrapping for internal validation. Finally, we get five sets of models (three sets of construction models and two sets of internal verification models) with similar predictive value. The stepwise model, which including four variables (CCI score, Alb, Phosphate (24h) and SOFA score), was the simplest model, so we chose it as our final predictive model and constructed a nomogram based on it. The area under the ROC curve (AUC) of the stepwise model and the stepwise bootstrap model (BS stepwise) were respectively 0.78(0.75,0.82) and 0.78 (0.75,0.82). The AUC of the stepwise model and the BS stepwise in patients with sepsis were 0.77 (0.73,0.81) and 0.77 (0.73,0.81). The AUC of the stepwise model and the BS stepwise in patients without sepsis were 0.83 (0.78,0.89) and 0.83 (0.78,0.89).

CONCLUSIONS

We developed a four-marker-based prognostic tool that could effectively predict each individual's 28-day mortality for patients with AKI and treated with CRRT.