Applications of modeling of structural equations in nursing: integrative review

Authors

  • Juliane Umann Brazilian Millitary Service
  • Rodrigo Marques da Silva Faculdade de Ciências e Educação Sena Aires
  • Cristilene Akiko Kimura Faculdade de Ciências e Educação Sena Aires
  • Liana Lautert Universidade Federal do Rio Grande do Sul

DOI:

https://doi.org/10.5216/ree.v19.42988

Keywords:

Nursing Research, Methods, Data Analysis, Multivariate Analysis

Abstract

We analyzed the scientific production using modeling of structural equations in nursing. We conducted an integrative review in June of 2016 in the databases PUBMED, MEDLINE, and LILACS. We identified 127 articles, and we selected 20 from those. We conducted the analyses – quality and level of evidence – using validated tools and a synoptic table. The articles attended to 80% of STROBE items (95%), level of evidence 5 (95%) and published in Asian (50%) and North American (30%) countries. There was an increase of the scientific production using models of structural equations during the study period and the predominance of investigations aimed at the work organization. The use of modeling of structural equations in nursing is growing. However, studies aimed at assistance and teaching are lacking. This method appeared useful for issues in research in this health field.

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Author Biographies

Juliane Umann, Brazilian Millitary Service

Nurse, Ph.D. in Nursing. Nurse of the Brazilian Millitary Service. São Gabriel, RS, Brazil. E-mail: juumann@hotmail.com.

Rodrigo Marques da Silva, Faculdade de Ciências e Educação Sena Aires

Nurse, Ph.D. in Adult Health Nursing. Professor at Faculdade de Ciências e Educação Sena Aires. Valparaiso de Goiás, GO, Brazil. E-mail: marques-sm@hotmail.com.

Cristilene Akiko Kimura, Faculdade de Ciências e Educação Sena Aires

Nurse, Ph.D. in Nursing. Professor at Faculdade de Ciências e Educação Sena Aires. Valparaiso de Goiás, GO, Brazil. E-mail: cris.akiko7@gmail.com.

Liana Lautert, Universidade Federal do Rio Grande do Sul

Nurse, Ph.D. Associate Professor at Universidade Federal do Rio Grande do Sul. Porto Alegre, RS, Brazil. E-mail: lila@enf.ufrgs.br.

Published

2017-12-31

Issue

Section

Review Article