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Tips for Teaching Nursing Diagnosis and the Use of NANDA International Terminology

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Title: Tips for Teaching Nursing Diagnosis and the Use of NANDA International Terminology


1
Tips for Teaching Nursing Diagnosis and the Use
of NANDA International Terminology
2
Nursing Diagnosis Definition
  • The NANDA-I definition of a nursing diagnosis was
    adapted from a national, Delphi study by Dr.
    Joyce Shoemaker (1984)
  • Nursing diagnosis is a clinical judgment about
    individual, family, or community responses to
    actual or potential health problems/life
    processes. Nursing diagnoses provide the basis
    for selection of nursing interventions to achieve
    outcomes for which the nurse is accountable
    (NANDA, 1997).

3
The Diagnoses
  • 206 NANDA-approved nursing diagnoses will be
    present in the Definitions Classifications book
    for 2009 - 2011
  • Level of Evidence (LOE) Criteria Established for
    All New and Revised Diagnoses
  • Entry into the Taxonomy requires various levels
    of clinical evidence

4
Clinical Decision Making
  • Health care professionals face complex decisions
    daily regarding patient care and must do so with
    decreased resources
  • What is the area of concern that nurses can
    treat/prevent/monitor? (Diagnosis)
  • What is an appropriate goal for this patient?
    (Outcome)
  • What treatment is most effective? (Intervention)

5
Critical Thinking
  • Nurses need knowledge of diagnoses, definitions
    and defining characteristics, especially those
    common to the populations with which they work
    and the diagnostic processes that are used to
    interpret patient data
  • Skills of analyzing, logical reasoning, and
    applying standards are thinking processes
    required for accurate diagnosis in nursing
  • These skills are developed through
  • Discussions of how data should be clustered to
    generate accurate diagnoses
  • Relation of data clusters to diagnoses
  • Comparisons of existing data to expected data
    based on research findings.
  • Lunney (2009)

6
Diagnosis Requires Assessment
  • Identifying human responses that are related to
    medical diagnosis without a complete assessment
    to determine the presence of defining
    characteristics
  • Lack of instruction on clustering assessment data
    to derive a list of potential diagnoses
  • Lack of hypothesis testing to determine best
    diagnoses for each patient

7
Nurses Are Diagnosticians
  • Diagnosticians interpret data within their fields
    of expertise in order to provide needed services
  • A key element of data interpretations is that
    they are subject to error.
  • A good diagnostician must realize that there are
    always risks to the accuracy of data
    interpretations
  • Becoming a nurse diagnostician requires
    development of professional and personal skills
    and characteristics
  • Competencies in intellectual, interpersonal, and
    technical domains
  • Personal strengths of tolerance for ambiguity and
    use of reflective practice

8
Teaching Methods
  • Review proper method to complete patient
    assessment to determine the presence of defining
    characteristics
  • Clustering of defining characteristics is often
    misunderstood presence of one defining
    characteristic does not necessarily require a
    diagnosis
  • All nursing interventions do not require a
    nursing diagnosis
  • Medication administration for a condition that is
    not a primary focus of nursing care is related
    more to a medical diagnosis
  • Need to test hypotheses
  • Need to evaluate success of plan of care and
    reassess continually

9
Diagnostic Process
10
Cue Generation and Nursing Diagnosis
  • Cues are analyzed in relation to possible
    diagnoses
  • Existing cues are matched with the expected cues
    for the diagnoses being considered
  • During the evaluation of cues and related
    diagnoses, nurses may decide that there are not
    enough data to make a diagnostic decision or that
    there is enough evidence for one or more likely
    diagnoses
  • If there are not enough data to make a diagnosis,
    then the next step involves a focused search for
    additional cues
  • If there is enough supporting evidence, a
    diagnosis is made and then validated

11
Quality Nursing Care
  • Accurate Assessment and Diagnosis
  • Defining characteristics
  • Related factors
  • Risk factors
  • Identify Attainable Patient Outcomes
  • Efficiency
  • Utilize Proven Interventions
  • Effective
  • Least resource-intensive

12
Quality Nursing Care
  • Accurate Assessment and Diagnosis
  • Defining characteristics
  • Related factors
  • Risk factors
  • Identify Attainable Patient Outcomes
  • Efficiency
  • Utilize Proven Interventions
  • Effective
  • Least resource-intensive

13
Incorrect Diagnostic Process
14
Teaching Methods
  • Requiring students to develop and detail care
    plans with every possible diagnosis creates
    resistance
  • Sets up situation that is not realistic
  • Cannot address every possible diagnosis in a
    short hospital stay
  • Becomes a thing to do rather than truly
    understanding and applying diagnostic reasoning
    and differential diagnosis
  • Students learn to just pick a diagnosis rather
    than making decisions about the best
    explanation(s) for patient responses

15
Teaching Methods
  • Use of case studies can assist students in
    identifying cues in patient situations that may
    be defining characteristics of one or more
    nursing diagnoses
  • Hypothesis generation and differential diagnosis
    skills can be developed through case studies,
    clinical conference discussions and in skills lab
    scenarios

16
The List
  • Automating the electronic record to populate the
    plan of care with nursing diagnoses when a
    particular medical diagnosis is used
  • Becomes a documentation tool rather than an
    individualized plan of care to direct nursing
    interventions to meet important patient outcomes
  • Puts patients at risk / Negligence
  • May ignore or miss important diagnoses for
    patients
  • Plan of care does not address critical outcomes
    for patients

17
Reportable Quality Measures Where is Nursing?
  • Management of diabetes
  • Percent of adults with diabetes who had a foot
    examination in past year
  • Percent of adults with diabetes who had an
    influenza immunization in past year
  • Percent of adults with diagnosed diabetes with
    HbA1c level gt 9.0 (poor control) lt 7.0
    (optimal)
  • Hospital admissions for short-term complications
    of diabetes per 100,000 population

18
The Role of Nursing in Patient Quality
  • Percent of adults with diagnosed diabetes with
    HbA1c lt 7.0 (optimal)
  • Readiness for enhanced family coping
  • Health-seeking behaviors
  • Readiness for Enhanced Self Health Management

19
The Role of Nursing in Patient Quality
  • Management of diabetes
  • Hospital admissions for short-term complications
    of diabetes per 100,000 population
  • Anxiety
  • Ineffective coping
  • Ineffective health maintenance
  • Risk for injury
  • Deficient knowledge
  • Ineffective Self Health Management

20
Diagnostic Difficulties
  • Significant overlap of cues (Defining
    Characteristics) to diagnoses
  • Contextual factors such as culture can change the
    perspective on diagnosis
  • Many studies have verified that interpretations
    of clinical cases have the potential to be less
    accurate than indicated by the data
  • (Lunney, 2007).
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