NSE11 Lecture Notes - Lecture 3: Nursing Diagnosis, Nanda, Cluster Analysis
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Discuss the significance and contribution of nanda to nursing practice. Nursing diagnosis, the second step of the nursing process, determines health problems within the domain of nursing. It"s a clinical judgement of an individual, family, or community responses to actual and potential health problems. Nursing diagnoses provide the basis for selection of nursing interventions to achieve outcomes. Examples of nanda are: activity intolerance, disturbed body image, bowel incontinence, decreased cardiac output, diarrhea etc: discuss the diagnostic reasoning process. Outline the principles of diagnostic reasoning: diagnostic reasoning is a process of using assessment data about a client to logically explain a clinical judgement (a nursing diagnosis). This also involves data clustering, identifying client needs, formulating the diagnosis or problem. Clinical criteria are objective/subjective signs and symptoms, or risk factors that lead to a diagnostic conclusion. Summarize the types and risks of diagnostic errors: Collecting: lack of knowledge, inaccurate/missing data, disorganization.
