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Causation and Validation of Nursing Diagnoses: A Middle Range Theory
Author(s) -
Lopes Marcos Venícios,
Silva Viviane Martins,
Herdman T. Heather
Publication year - 2017
Publication title -
international journal of nursing knowledge
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.545
H-Index - 23
eISSN - 2047-3095
pISSN - 2047-3087
DOI - 10.1111/2047-3095.12104
Subject(s) - causation , medical diagnosis , nursing diagnosis , nursing outcomes classification , nursing practice , nursing process , nursing theory , nursing , nursing research , clinical practice , process (computing) , medline , psychology , medicine , computer science , epistemology , team nursing , philosophy , pathology , political science , law , operating system
Purpose To describe a predictive middle range theory ( MRT ) that provides a process for validation and incorporation of nursing diagnoses in clinical practice. Data Sources Literature review. Data Synthesis The MRT includes definitions, a pictorial scheme, propositions, causal relationships, and translation to nursing practice. Conclusions The MRT can be a useful alternative for education, research, and translation of this knowledge into practice. Implications for Nursing Practice This MRT can assist clinicians in understanding clinical reasoning, based on temporal logic and spectral interaction among elements of nursing classifications. In turn, this understanding will improve the use and accuracy of nursing diagnosis, which is a critical component of the nursing process that forms a basis for nursing practice standards worldwide.