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The Dynamic Reasoning Theory: A Theo...

Ray, Janine.

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The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses./
作者:	Ray, Janine.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	260 p.
附註:	Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
Contained By:	Dissertation Abstracts International80-03B(E).
標題:	Nursing. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10933115
ISBN:	9780438488946

The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses.
Ray, Janine.

The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 260 p.

Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.

Thesis (Ph.D.)--Saybrook University, 2018.

The clinical reasoning of nurses is important for patient safety, yet few well-grounded studies of the clinical reasoning of nurses have been done. Fonteyn (1998) and Rubenfeld and Scheffer (2010) studied the components of clinical reasoning. Kuiper, O'Donnell, Pesut, and Turrise (2017) proposed a meta-model that associates clinical reasoning strategies with appropriate sections of the nursing process. However, terminology, definitions, and scientific explanations relevant to the clinical reasoning of nurses remain disparate. This creates difficulties in completing research and educating novice nurses regarding clinical reasoning.

ISBN: 9780438488946Subjects--Topical Terms:

528444
Nursing.

The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses.
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245 1 4 $a The Dynamic Reasoning Theory: A Theory of the Clinical Reasoning of Nurses.
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500 $a Source: Dissertation Abstracts International, Volume: 80-03(E), Section: B.
500 $a Adviser: Joann McAllister.
502 $a Thesis (Ph.D.)--Saybrook University, 2018.
520 $a The clinical reasoning of nurses is important for patient safety, yet few well-grounded studies of the clinical reasoning of nurses have been done. Fonteyn (1998) and Rubenfeld and Scheffer (2010) studied the components of clinical reasoning. Kuiper, O'Donnell, Pesut, and Turrise (2017) proposed a meta-model that associates clinical reasoning strategies with appropriate sections of the nursing process. However, terminology, definitions, and scientific explanations relevant to the clinical reasoning of nurses remain disparate. This creates difficulties in completing research and educating novice nurses regarding clinical reasoning.
520 $a The purpose of this dissertation was to develop a theory of the clinical reasoning of nurses with operational definitions of relevant terms. The study questions were (1) What reasoning skills do nurses use in providing nursing care? (2) What is the cognitive content of clinical reasoning? (3) What is the nature of nursing intuition? and (4) What cognitive-linguistic, cultural, and contextual concepts support the reasoning of nurses?
520 $a This qualitative study employed the inductive text analysis methods of grounded theory. Texts came from nursing textbooks, journal articles, and respondent questionnaires. The respondents were anonymous volunteers who answered a short online questionnaire consisting of fixed choice and short answer questions about a patient scenario.
520 $a The grounded theory method of Birks and Mills (2011) was used to develop the dynamic reasoning theory and its components. The analysis found that changing patient health over time was the primary catalyst for clinical reasoning. Unexpected negative and planned positive health changes stimulated different clinical reasoning pathways.
520 $a Fifteen clinical reasoning strategies were found: dynamic, multilogical, verbal, deductive, inductive-abductive, differential, empathic, pattern operations, analysis, synthesis, interpretation, forecasting, evaluation, questioning, and integration. Clinical reasoning strategies functioned in complex systems (architectures) with environmental and nurse-related factors. Ten clinical reasoning architectures were found: dynamic reasoning (surveillance), information management, analysis-synthesis, hypothesis, interpretation, forecasting-planning, decision-making, problem-solving, empathic reasoning, and communication architectures. These architectures were distributed within and between nine nursing process steps.
520 $a The findings have implications for patient safety, nursing communication, artificial intelligence, health forecasting, and health care environment management. Important clinical reasoning applications for researchers, practicing nurses, and nurse educators were suggested.
590 $a School code: 0795.
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