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¹Author Affiliations: Federal Institute of Santa Catarina (Dr Costa; and Dr Nobrega), Florianópolis, Santa Catarina, Brazil; University of the State of Amazonas (UEA) and University Nilton Lins (Dr C.L. Bentes), Manaus, Amazonas, Brazil; School of Nursing and Midwifery, Queen's University (Dr Lynn), Belfast, United Kingdom; HEMOAM Foundation (Ms M.d.N. Bentes), Manaus, Brazil; Program in Nursing, Federal University of Santa Catarina (Dr Souza). Manaus, Brazil.

Computers, Informatics, Nursing : CIN

|June 27, 2024

Summary

This study developed software to calculate necessary nursing staff during the coronavirus disease 2019 (COVID-19) pandemic. The tool aids in determining optimal nursing team size and quality based on institutional and professional indicators.

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Area of Science:

Nursing Informatics
Health Systems Management
Software Engineering

Background:

The coronavirus disease 2019 (COVID-19) pandemic created unprecedented demands on healthcare systems, particularly nursing staff.
Accurate assessment of nursing workforce needs is critical for maintaining quality patient care and preventing burnout.
Existing methods for nursing staff calculation may not adequately address the unique challenges posed by a pandemic.

Purpose of the Study:

To develop and evaluate a software tool for calculating the required number of nursing team members during the COVID-19 pandemic.
To systematize data and indicators related to institutional, professional, and occupational structures relevant to pandemic nursing care.
To create a user-friendly, web-based application accessible across multiple operating systems.

Main Methods:

Literature review to identify relevant data and indicators for nursing workforce assessment.
Systematization of indicators into institutional (10 dimensions) and professional/occupational (14 dimensions) structures.
Development of a client-server web application using software engineering principles.
Data simulation for software evaluation, focusing on security, confidentiality, and usability.

Main Results:

A functional web-based software tool was developed for calculating nursing team size and quality.
Systematized indicators provide a structured approach to assessing nursing needs during COVID-19.
Software evaluation identified areas for improvement in security, data confidentiality, and handling.

Conclusions:

The developed software effectively calculates nursing workforce requirements, addressing pandemic-specific needs.
The tool supports evidence-based decision-making for optimal nursing staff allocation.
Further refinement of the software is recommended to enhance its security and user experience.