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Nurse Assessment in Practice

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Clinical data gathering and planning

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Nurse Assessment in Practice
 

Nurse Assessment in PracticeVersion en ligne

Clinical data gathering and planning

par Anotida
1

What is the main purpose of the nursing assessment database?

2

What does patient-family-centered care emphasize in planning care?

3

Gordon describes two data collection approaches:

4

In the comprehensive approach, data are organized around how many patterns?

5

Baseline data for comparison include which of the following?

6

What is the role of secondary data sources?

7

How is the patient’s subjective experience best understood?

8

How many functional health patterns guide the comprehensive assessment?

9

What do nurses use assessment data for?

10

Why are data compared to established norms?

11

What is the starting point of the problem-focused approach in nursing assessment?

12

How does a problem-focused assessment broaden beyond the presenting problem?

13

What type of assessment begins with cues and expands to questions and observations?

14

Which framing of questions yields richer information about pain?

15

What is the risk of asking only closed-ended questions in assessment?

16

In the problem-focused approach, what is the nurse’s next step after identifying data cues?

17

Why is it important to cluster data before planning interventions?

18

Which best describes open-ended questions in assessment?

19

What is the role of the presenting problem in a problem-focused assessment?

20

Which statement best reflects the outcome of a thorough problem-focused assessment?

21

What distinguishes a symptom from a sign in patient assessment?

22

Which data are considered subjective in assessment?

23

Which practice supports accurate clinical judgement?

24

What should nursing observations avoid when recording?

25

What is a sign in nursing assessment?

26

Why is summarising data important in assessment?

27

What can cause inaccurate nursing decisions?

28

What should be avoided when collecting patient data?

29

In the dyspnea assessment example, what is a key data type to gather?

30

What is a consequence of disorganised assessment data?

Feedback

A holistic assessment captures problems and responses, not just diagnoses or paperwork.

Engaging patients and families improves quality and safety.

One is broad and holistic, the other focuses on presenting problems.

Data are collected across 11 patterns to identify problems and strengths.

Baseline data show typical status against which changes are measured.

Secondary sources supplement patient-reported information.

Subjective experience guides personalized care planning.

The framework uses 11 patterns to structure data collection.

Data support decisions and tailored care plans.

Norms help reveal deviations and guide care priorities.

Starts with a focused problem, then broadens to related life areas.

Expands to categories like lifestyle and relationships after the initial problem.

Data leads to an expanded series of questions/observations.

Open-ended questions elicit onset, severity, type, and context.

Closed-ended questions can miss nuances needed for care planning.

Move from cue/data to conclusion and targeted interventions.

Pattern recognition helps target effective care.

Open-ended questions elicit richer information.

The presenting problem shapes the focused assessment and planning.

Assessment leads to a comprehensive, targeted intervention plan.

Symptoms are what patients report; signs are what nurses observe or measure.

Subjective data come from the patient’s own experience.

Clinical judgement combines data patterns with expertise.

Record observations without bias or prejudicial language.

Signs are observable or measurable by the clinician.

A good summary consolidates actual and potential problems.

Data quality directly affects decisions.

Validation prevents premature or erroneous conclusions.

Assessment combines patient symptoms with objective signs.

Disorganization can lead to incorrect judgments and wrong care.

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