RESUMEN
OBJECTIVE: To establish the validity of sensor-based measures of work processes for predicting perceived mental and physical exertion of critical care nurses. MATERIALS AND METHODS: Repeated measures mixed-methods study in a surgical intensive care unit. Wearable and environmental sensors captured work process data. Nurses rated their mental (ME) and physical exertion (PE) for each four-hour block, and recorded patient and staffing-level workload factors. Shift was the grouping variable in multilevel modeling where sensor-based measures were used to predict nursing perceptions of exertion. RESULTS: There were 356 work hours from 89 four-hour shift segments across 35 bedside nursing shifts. In final models, sensor-based data accounted for 73% of between-shift, and 5% of within-shift variance in ME; and 55% of between-shift, and 55% of within-shift variance in PE. Significant predictors of ME were patient room noise (ß = 0.30, p < .01), the interaction between time spent and activity levels outside main work areas (ß = 2.24, p < .01), and the interaction between the number of patients on an insulin drip and the burstiness of speaking (ß = 0.19, p < .05). Significant predictors of PE were environmental service area noise (ß = 0.18, p < .05), and interactions between: entropy and burstiness of physical transitions (ß = 0.22, p < .01), time speaking outside main work areas and time at nursing stations (ß = 0.37, p < .001), service area noise and time walking in patient rooms (ß = -0.19, p < .05), and average patient load and nursing station speaking volume (ß = 0.30, p < .05). DISCUSSION: Analysis yielded highly predictive models of critical care nursing workload that generated insights into workflow and work design. Future work should focus on tighter connections to psychometric test development methods and expansion to a broader variety of settings and professional roles. CONCLUSIONS: Sensor-based measures are predictive of perceived exertion, and are viable complements to traditional task demand measures of workload.
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Personal de Enfermería en Hospital/psicología , Esfuerzo Físico , Carga de Trabajo/estadística & datos numéricos , Enfermería de Cuidados Críticos , Servicio de Urgencia en Hospital , Humanos , Modelos Teóricos , Seguridad del Paciente , Estudios Prospectivos , Análisis y Desempeño de Tareas , Flujo de TrabajoRESUMEN
OBJECTIVES: This study aimed to use a systems engineering approach to improve performance and stakeholder engagement in the intensive care unit to reduce several different patient harms. METHODS: We developed a conceptual framework or concept of operations (ConOps) to analyze different types of harm that included 4 steps as follows: risk assessment, appropriate therapies, monitoring and feedback, as well as patient and family communications. This framework used a transdisciplinary approach to inventory the tasks and work flows required to eliminate 7 common types of harm experienced by patients in the intensive care unit. The inventory gathered both implicit and explicit information about how the system works or should work and converted the information into a detailed specification that clinicians could understand and use. PROTOTYPE CONOPS TO ELIMINATE HARM: Using the ConOps document, we created highly detailed work flow models to reduce harm and offer an example of its application to deep venous thrombosis. In the deep venous thrombosis model, we identified tasks that were synergistic across different types of harm. We will use a system of systems approach to integrate the variety of subsystems and coordinate processes across multiple types of harm to reduce the duplication of tasks. Through this process, we expect to improve efficiency and demonstrate synergistic interactions that ultimately can be applied across the spectrum of potential patient harms and patient locations. CONCLUSIONS: Engineering health care to be highly reliable will first require an understanding of the processes and work flows that comprise patient care. The ConOps strategy provided a framework for building complex systems to reduce patient harm.
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Atención a la Salud/normas , Unidades de Cuidados Intensivos/normas , Calidad de la Atención de Salud/normas , Comunicación , Humanos , Medición de RiesgoRESUMEN
INTRODUCTION: Effective teamwork is known to be important to improving health care outcomes. Current research often highlights teamwork among health care professionals without consideration of approaches to including family as part of the health care team. In this study, the authors assess family and provider openness to expanding the care team to include family participation and introduce the Family Involvement Menu as a tool to facilitate family engagement. METHOD: They collected 37 family surveys and 37 clinician surveys to understand the perception, comfort level, experience, and interest of family and clinicians in including family in the care of the patient. The majority of family reported being interested and comfortable in participating in care (95% and 92%, respectively). RESULTS: The majority of clinicians considered family already to be part of the health care team (92%) though only 16% reported routinely inviting families to participate in direct patient care all the time. Multiple direct patient care activities were identified as promising opportunities for family engagement. Barriers to family engagement reported included the family being scared (19%), uncomfortable (19%), or unwilling (14%) or nurses not having enough time (14%) to involve families. DISCUSSION: Engaging family has the potential to increase nursing availability for other tasks, enhance relationship building, and is an opportunity to introduce early education for family, better preparing them for transition of care and discharge. The Family Involvement Menu supports family engagement and can be a strategy to include family members as part of the health care team.
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Cuidadores/estadística & datos numéricos , Atención a la Salud/métodos , Grupo de Atención al Paciente/tendencias , Humanos , Participación del Paciente/métodos , Encuestas y CuestionariosRESUMEN
Preventable adverse drug events are associated with one out of five injuries or deaths. Estimates reveal that 46% of medication errors occur on admission or discharge from a clinical unit/hospital when patient orders are written. This study was performed to reduce medication errors in patient's discharge orders through a reconciliation process in an adult surgical intensive care unit (ICU). A discharge survey was implemented as part of the medication reconciliation process. The admitting nurse initiated the survey within 24 hours of ICU admission and the charge nurse completed the survey on discharge. Baseline data were obtained through a random sampling of 10% of discharges in first 2 weeks of the study (July 2001-May 2002). Medical and anesthesia records were reviewed, allergies and home medications verified with patient/family and findings compared with orders at time of ICU discharge. Baseline data revealed that 31 of 33 (94%) patients had orders changed. By week 24, nearly all medication errors in discharge orders were eliminated. In conclusion, use of the discharge survey in this medication reconciliation process resulted in a dramatic drop in medications errors for patients discharged from an ICU. The survey is now a part of our electronic medical record and used in 4 adult ICUs and 2 medicine floors.