Disrupted mother-fetus dyad risk in high-risk pregnancies: a Middle-Range Theory.

Autor: Mendes RCMG; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil., Silva GPD; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil., Perrelli JGA; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil., Pontes CM; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil., Pascoal LM; Universidade Federal do Maranhão. Imperatriz, Maranhão, Brazil., Lira ALBC; Universidade Federal do Ceará. Fortaleza, Ceará, Brazil., Lopes MVO; Universidade Federal do Ceará. Fortaleza, Ceará, Brazil., Mangueira SO; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil., Linhares FMP; Universidade Federal de Pernambuco. Recife, Pernambuco, Brazil.
Jazyk: English; Portuguese
Zdroj: Revista brasileira de enfermagem [Rev Bras Enferm] 2024 Jul 29; Vol. 77 (3), pp. e20230464. Date of Electronic Publication: 2024 Jul 29 (Print Publication: 2024).
DOI: 10.1590/0034-7167-2023-0464
Abstrakt: Objectives: to develop and evaluate a Middle-Range Theory for the nursing diagnosis "Disrupted Mother-Fetus Dyad Risk" in high-risk pregnancies.
Methods: this methodological study was conducted in two stages: theory development and evaluation. Dorothea Orem's General Nursing Model was used as the theoretical-conceptual foundation. Evaluation was conducted using the Delphi method with seven judges, and consensus was achieved when the Content Validity Index of the evaluated items was ≥ 0.80.
Results: the theory identified 20 elements of the nursing diagnosis "Disrupted Mother-Fetus Dyad Risk" (10 risk factors, 4 at-risk populations, and 6 associated conditions), 14 propositions, and 1 pictogram. After two rounds of evaluation, the theory was considered consistent, with consensus reached for all items, each achieving a Content Validity Index ≥ 0.80.
Conclusions: the Middle-Range Theory included biopsychosocial factors explaining the nursing phenomenon "Disrupted Mother-Fetus Dyad Risk," which aids in nurses' diagnostic reasoning.
Databáze: MEDLINE