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Related Concept Videos

Nursing Evaluation01:15

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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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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.
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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.
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Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
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Implementation is the execution of the nursing care plan developed during the planning phase.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Building clinical networks: a developmental evaluation framework.

Peter Carswell1, Benjamin Manning, Janet Long

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This study presents a framework for developing and evaluating clinical networks. It identifies key factors and methods to support network growth and informed decision-making for internal stakeholders.

Keywords:
Evaluation methodologyHealthcare quality improvementImplementation science

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Area of Science:

  • Health services research
  • Organizational network analysis
  • Healthcare management

Background:

  • Clinical networks are cross-organizational structures for health service planning and delivery.
  • Concerns about the effectiveness of clinical networks necessitate evidence-informed development and evaluation approaches.

Purpose of the Study:

  • To document an evaluation framework for clinical networks.
  • To synthesize findings from network evaluation literature and a 5-year clinical network study.

Main Methods:

  • Literature search across network evaluation, development facilitators/inhibitors, and network characteristic measurement.
  • Development of a framework for effective developmental evaluation.

Main Results:

  • The framework outlines three stages: partner selection, network design, and network management.
  • Identifies facilitators and barriers to network growth within each stage.
  • Provides methods and tools for measuring progress and supporting informed decisions.

Conclusions:

  • Offers a comprehensive framework with rigorous methods for understanding clinical network development.
  • Aimed at internal stakeholders for developmental evaluation and decision-making.