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Current Trends in Nursing I

Current Trends in Nursing I

Current trends in nursing include:

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.

Nursing Implementation

Nursing Implementation

Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.

Planning Nursing Care I

Planning Nursing Care I

The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...

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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

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Published on: August 8, 2019

Defining nursing workload predictors: A pilot study.

Dhurata Ivziku¹, Federica Maria Pia Ferramosca², Lucia Filomeno^2,3

¹Department of Nursing Innovation and Development, Campus Bio-Medico of Rome University Hospital, Rome, Italy.

Journal of Nursing Management

|November 26, 2021

Summary

Patient acuity, staffing, and workflow complexity significantly predict nursing workload. The nurse-to-patient ratio did not emerge as a predictor in this study on healthcare organizations.

Keywords:

hospital nursing staffing workflow workload

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Area of Science:

Nursing
Healthcare Management
Organizational Behavior

Background:

Nursing workload is a critical factor impacting healthcare organizations, directly influencing nurse well-being and the quality of patient care.
Despite its importance, the specific predictors of nursing workload remain under-researched, highlighting a gap in current healthcare management literature.

Purpose of the Study:

To identify key predictors of perceived nursing workload.
To explore the influence of patient-related factors, nurse-related factors, and workflow dynamics on workload.
To provide evidence-based insights for optimizing nursing practice and resource allocation.

Main Methods:

A cross-sectional prospective study design was employed, utilizing complex adaptive systems theory.
An online survey collected data from 205 nurses across five medical-surgical wards over three weeks, assessing perceived workload at the end of each shift.
Multivariate regression models were used to analyze the collected data and identify significant predictors.

Main Results:

Patient acuity, staffing resources, patient transfers, documentation requirements, patient isolation, unscheduled activities, and patient specialties were identified as significant predictors of perceived nursing workload.
Conversely, the nurse-to-patient ratio was found not to be a significant predictor of perceived workload in this study.
These findings underscore the multifaceted nature of nursing workload beyond simple staffing ratios.

Conclusions:

The study successfully identified crucial predictors of perceived nursing workload, including patient care complexity, staffing adequacy, and specific workflow elements.
These insights are vital for hospital management and policymakers aiming to optimize staff resources, streamline workflow processes, and enhance the work environment.
Further research is recommended to explore additional determinants of nursing workload to comprehensively inform healthcare practices.