Banca de QUALIFICAÇÃO: WANESCA CAROLINE PEREIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : WANESCA CAROLINE PEREIRA
DATE: 14/11/2024
TIME: 14:00
LOCAL: Plataforma Google Meet
TITLE:

Temporal analysis of the salary trend of nursing staff in the five regions of Brazil.

KEY WORDS:

salaries and fringe benefits; Economic, nursing; Working conditions; Nurse practitioners.

 

PAGES: 40
BIG AREA: Ciências da Saúde
AREA: Enfermagem
SUMMARY:

Salary remuneration permeates various dimensions of an individual’s life, promoting well-
being, recognition, and financial security. However, salary differences among workers are

noticeable, especially within the nursing team, which can contribute to the migration of
professionals, their illness, and disappointment with the profession. Therefore, it is important
to conduct research on this topic, aiming to promote salary equity, better working conditions,
and the development of public policies that value nursing professionals. The objective of this
study is to analyze the salary trend of the nursing staff in the regions of Brazil during the period
from 2003 to 2022. This study is an analytical-descriptive research with an exploratory nature,
adopting a quantitative approach, focused on an ecological study of temporal trends, which
examines the salary evolution of the nursing staff across the five regions of Brazil. Data from
the Annual Social Information Report and the General Register of Employed and Unemployed
will be used. The data treatment and analysis, as well as the temporal distribution, will be
conducted by exporting the database, with descriptive and inferential analyses being performed
using R Studio Software version 4.3.1. Statistical analyses such as frequency distribution and
measures of central tendency and position will be applied. Trend analysis will be conducted
using polynomial equations, including simple linear regressions, second-degree (parabolic),
and third-degree (exponential), selecting the model that best fits the data. The temporal trend
analysis will be divided into two phases: the Durbin-Watson test to examine the autocorrelation
of the historical series, and an exploratory analysis using the autocorrelation function. The
model selection criterion will be statistical significance, with a significant trend being
considered when the p-value is less than 0.05. The research exclusively uses public data, with
no possibility of individual identification of participants. It is expected that the results of this
research will contribute to a better understanding of salary inequalities between regions and
may support more effective public policies to enhance nursing in Brazil. The analysis may also
highlight future trends, helping managers and institutions to formulate strategies that promote
salary equity and better working conditions for nursing professionals.

COMMITTEE MEMBERS:
Externo à Instituição - ANDRÉ ALMEIDA DE MOURA - USP
Externo à Instituição - HELENA MARIA SCHERLOWSKI LEAL DAVID - UERJ
Presidente - 2696718 - JONAS SAMI ALBUQUERQUE DE OLIVEIRA
Interna - 1214075 - SORAYA MARIA DE MEDEIROS