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Nursing protocol in chronic kidney disease prevention in older adults in primary care

Overview of attention for article published in Revista Brasileira de Enfermagem, January 2023
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Title
Nursing protocol in chronic kidney disease prevention in older adults in primary care
Published in
Revista Brasileira de Enfermagem, January 2023
DOI 10.1590/0034-7167-2022-0052
Pubmed ID
Authors

Fernanda Ferreira Krepker, Cristina Arreguy-Sena, Luciene Muniz Braga, Paula Krempser, Jéssica de Castro Santos, Herica Silva Dutra

Abstract

to develop a protocol for Nursing Process operationalization in approaching older adults with vulnerability to chronic kidney disease in Primary Health Care, based on Neuman's stressors. a methodological study, carried out in two stages: 1) synthesis of evidence using an inductive strategy (mixed method study) and 2) protocol development to support the nursing process operationalization with older adults enrolled in a Basic Health Unit, using a deductive strategy (Neuman's stressor concepts, NANDA, NIC, and NOC taxonomies, Risner's line of reasoning, and cross-mapping), described according to A Step-by-Step Guide to Developing Protocols. 102 older adults participated, and 17 diagnoses, 34 interventions and 26 nursing outcomes were identified. the protocol developed is a technology that makes it possible to operationalize the Nursing Process, based on Neuman's stressors and on taxonomy, conceptual and care frameworks, guiding care and nursing records.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 26%
Student > Bachelor 3 16%
Librarian 1 5%
Unknown 10 53%
Readers by discipline Count As %
Unspecified 5 26%
Nursing and Health Professions 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Medicine and Dentistry 1 5%
Unknown 10 53%