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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

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Factors Related to School Nurse Workload.

Beth E Jameson¹, Martha Keehner Engelke², Lori S Anderson³

¹1 School of Nursing, Rutgers University, Newark, NJ, USA.

The Journal of School Nursing : the Official Publication of the National Association of School Nurses

|July 7, 2017

Summary

This study synthesizes factors influencing school nurse workload beyond student numbers. It provides a foundation for developing better workload measurement tools for school nursing practice.

Keywords:

evidence-based practice role promotion/development school nurse ratios school nurse workload

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Area of Science:

Nursing
Healthcare Management
Public Health

Background:

Current school nurse workload models often rely solely on student-to-nurse ratios.
The National Association of School Nurses (NASN) has recommended developing more comprehensive workload measures.
A workforce acuity task force (WATF) was formed to advance these recommendations.

Purpose of the Study:

To synthesize and categorize factors affecting school nurse workload.
To identify sources for collecting and retrieving workload-related data.
To provide recommendations for developing school nurse workload measurement instruments.

Main Methods:

Literature review of existing studies and practices.
Categorization of identified workload factors.
Delineation of data collection and retrieval sources.

Main Results:

Identified and categorized key factors influencing school nurse workload.
Outlined potential data sources for workload assessment.
Established a basis for future instrument development.

Conclusions:

A comprehensive understanding of workload factors is crucial for accurate school nurse staffing.
Further research and instrument development are needed to refine workload measurement.
This synthesis supports evidence-based practice in school nursing management.