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Related Concept Videos

Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

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Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
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Nursing Implementation01:15

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Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Formulating and Validating Nursing Diagnosis I01:26

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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Development and Evaluation of an Algorithm-Corresponding Instrument for Nursing Simulation.

Yu-Nah Lee, Hyunsook Shin, Dahae Rim

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    This summary is machine-generated.

    This study developed a validated instrument to assess nursing students' clinical decision-making in high-risk newborn apnea simulations. The tool measures assessment, skills, and communication, proving effective for simulation-based education.

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    Area of Science:

    • Nursing Education
    • Medical Simulation
    • Neonatal Intensive Care

    Background:

    • High-risk newborn apnea requires timely emergency measures in neonatal intensive care units.
    • Algorithm-based simulations offer a safe environment for training emergency responses.
    • Developing effective assessment tools is crucial for simulation-based nursing education.

    Purpose of the Study:

    • To develop and validate an assessment instrument for nursing students.
    • To evaluate student performance in an algorithm-based simulation for neonatal apnea emergencies.
    • To enhance clinical decision-making skills in neonatal intensive care.

    Main Methods:

    • Two-phase study: instrument development and evaluation.
    • Utilized an algorithm-based simulation scenario for high-risk newborn apnea.
    • Administered the developed instrument to 169 senior nursing students in South Korea.

    Main Results:

    • A 13-item instrument with three dimensions: assessment points, nursing skills, and communication.
    • Exploratory factor analysis confirmed three underlying factors.
    • Confirmatory factor analysis supported a three-factor model, indicating good fit.

    Conclusions:

    • The developed instrument effectively assesses nursing students' clinical decision-making abilities.
    • The tool is suitable for evaluating performance in neonatal apnea simulation scenarios.
    • This validated instrument can improve the quality of nursing education in critical care settings.