Nursing Diagnosis in Education:Teaching Strategies
ContributorsBarbara Krainovich-Miller
Maria Müller-Staub
• Assessment
• Diagnosis
• Outcomes Identification
• Planning
• Implementation
• Evaluation (American Nurses Association 2010)
Nursing Process Framework
• Indicate There are Multiple Approved Taxonomies
• In Era of Patient Safety and Quality, Nurses Must Use the Best Evidence
• Help Students Understand the Importance of the Nursing Process as a Framework for Nursing Practice
• Based on Studies, NANDA-I Best Fulfills Taxonomic Validation Criteria, and is the Most Used and Best Developed Classification of Diagnoses(Anderson et al. 2009; Bernhard-Just et al. 2009; Müller-Staub et al. 2007)
• NANDA-I Recommends Three Taxonomies(NANDA International 2012)
Introduce the Concept of Evidence-Based Taxonomies (Classification Systems)
Evidence-Based Taxonomies
• NANDA-I: Taxonomy II (NANDA-I)
• Nursing Outcomes Classification (NOC)
• Nursing Interventions Classification (NIC)(Bulecheck et al. 2008; Herdman 2012; Moorhead et al. 2008)
Recommend Evidence-Based Classification Systems
Evidence-Based Taxonomies
Students Need to Understand:
• Why Nursing Process is More than Carrying Out a Series of Steps
• Nursing Diagnosis as a Part of the Nursing Process is an Example of a Theory for Practice
Example:
• Begin with the Individual Rather than Family and Community
• Assessment Component Requires Collecting Objective and Subjective Data During First Individual (Patient) Interaction
Teaching the Nursing Process
Help Identify Synonyms for Nursing Process:
• Clinical Judgment
• Diagnostic Reasoning (Combines Assessment and Diagnosis)
• Clinical Reasoning
Compare and Contrast:
• Problem-Solving Process Versus Nursing Process
Teaching the Nursing Process
History and Physical (H&P) Assessment
• Explain Use of Functional Health Patterns for Conducting an H&P to Formulate Valid Diagnoses (Gordon 2008)
• Differentiate Between Comprehensive Versus Focused Assessment
• Provide Students with Clinical Examples of When to Use a Focused Versus Comprehensive H&P Assessment
Teaching First Phase: Assessment
• Start with Explaining Defining Characteristics (Objective and Subjective Data) for a Particular Diagnostic Concept
• Divide Students Into Two Groups:
• Group 1 Should Determine What is Objective or Subjective Data
• Group 2 Should Determine What are the Signs and What are the Symptoms (Defining Characteristics)
• Provide Comparison of What the Two Groups have Identified
Examples for Students
Defining Characteristics
Use Simulation as a Teaching Strategy:
•Use Faculty-Developed Standardized Case with Hi-Fidelity Patient Simulator
•Faculty Should Play Role of Patient’s Voice
•Ask Students to Conduct a Focused H&P
•Use Debriefing for Student Feedback and a Discussion of What Was the Subjective Versus Objective Data
Simulation
Teaching Strategy #8Use Examples to Emphasize Accuracy and Validity of Nursing Diagnosis for Quality Patient Outcomes
Review:•Concept of Accuracy
•Concept of Validity
•What is a Taxonomy and Its Primary Purpose
Teach Students How to:•Cluster Objective and Subjective Data During Assessment
•Use NANDA-I’s Taxonomy II (2012-2014)
•Work in Partnership with Patients to Determine Accuracy of Diagnosis
Discuss:•One Diagnosis from Each of 13 Domains
Teaching Second Phase: NDx
Give Students Format to Use After Collection of Data
•Students Should Identify Data and Cues that have been Clustered to Support Diagnoses
•Students Should Then Indicate If Data Presented for Specific Diagnosis Fits with a Source from the NANDA-I Taxonomy II
Clustering and Verifying Data
Teaching Strategy #10Provide Multiple Realistic Examples of Related Factors for Commonly Occurring Nursing Diagnoses
Give Students Description and Example of “Related Factors”
•Discuss Nursing Interventions for Related Factors
•Discuss When Treatment of Related Factors is Not Possible, and When Nursing Interventions Focus on Defining Characteristics
Examples of Related Factors
Preliminary Nursing Diagnosis Labels (Diagnostic Hypotheses) are Selected from Initial Clustering of H&P Assessment Data
•Encourage Students to Browse 13 Domains of Taxonomy II to Select Diagnostic Hypotheses
•Use Alphabetical List of Diagnostic Concepts in Domains of Taxonomy II
Preliminary Nursing Diagnoses
Accuracy of Diagnosis is Determined by Comparing Assessed Data to NANDA-I’s Taxonomy II
•Definition of Nursing Diagnoses (= Diagnostic Concept)
•Defining Characteristics
•Related Factors and Validation with Patients
•Offer Examples of Common Actual (Problem), Risk and Health Promotion Diagnoses
Accuracy of Nursing Diagnosis
Accuracy of Diagnosis is Determined by Comparing Assessed Data to NANDA-I’s Taxonomy II
•Verifying Findings
•Comparing Interviews with Physical Exam
•Clarifying Ambiguous Statements
•Double-Checking Abnormal Findings
•Checking Contradicting Findings
Validating Diagnostic Hypotheses
Students Should Provide Prioritized List of Nursing Diagnoses
Review with Students:
•Rationale for Prioritization
•When Prioritization Should Occur
•Prioritization Should be Completed After Data were Clustered and Verified with Patient and with NANDA-I Taxonomy for Accuracy
•Teach Students to Prioritize with Patients in Clinical Settings (Patient-Centered Care)
Prioritizing Nursing Diagnoses
Teaching Strategy #14Review Linkages Between and Among the Components of Nursing Process to Derive Accurate Nursing Diagnoses for Improved Patient Outcomes
Accurate and Valid Nursing Diagnosis Nurse-Sensitive Outcomes Interventions Desired Treatment Effects
Use Established Classification Systems:
•NANDA-I Taxonomy II
•NOC
•NIC(Bulecheck et al. 2008; Herdman 2012; Moorhead et al. 2008)
Linking NDx to Outcomes and Interventions
To Demonstrate Critical Thinking, Students Should:
•Conduct Electronic Data Based-searches Focused on Diagnosis, Outcome or Intervention
•Critically Appraise the Evidence
•Compare Findings to NANDA-I, NOC or NIC
(Bulecheck et al. 2008; Herdman 2012; Moorhead et al. 2008)
Critical Thinking
• American Nurses Association (2010) Nursing: Scope and Standards of Practice, 2nd edn. Silver Spring, MD: American Nurses Association.
• Anderson CA, Keenan G, Jones J. (2009) Using bibliometrics to support your selection of a nursing terminology set. CIN: Computers, Informatics, Nursing 27(2): 82-90.
• Bernhard-Just A, Hillewerth K, Holzer-Pruss C, Paprotny M, Zimmermann Heinrich H. (2009) Die elektronische Anwendung der NANDA-, NOC- und NIC - Klassifikationen und Folgerungen für die Pflegepraxis. Pflege 22(6): 443-454.
• Bulechek GM, Butcher BK, Dochterman JM. (2008) Nursing Interventions Classification (NIC), 5th edn. St Louis, MO: Mosby.
• Gordon M. (2008). Assess Notes: Nursing Assessment and Diagnostic Reasoning. Philadelphia: F.A. Davis.
• Herdman TH. (ed). (2012) NANDA International Nursing Diagnoses: Definitions and Classification, 2012-2014. Oxford: Wiley-Blackwell.
• Moorhead S, Johnson M, Maas M. (2008) Nursing Outcomes Classification (NOC), 4th edn. St Louis, MO: Mosby.
• Müller-Staub M, Lavin MA, Needham I, van Achterberg T. (2007) Meeting the criteria of a nursing diagnosis classification: evaluation of ICNP®, ICF, NANDA and ZEFP. International Journal of Nursing Studies 44(5): 702-713.
References
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