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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

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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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Nursing Implementation01:15

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Implementation is the execution of the nursing care plan developed during the planning phase.
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Clinical Trials01:16

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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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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Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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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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Related Experiment Video

Updated: Dec 10, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Using the consolidated framework for implementation research to evaluate clinical trials: An example from multisite

Linda L Costa1, Kathleen Bobay2, Ronda Hughes3

  • 1University of Maryland School of Nursing, Organizational Systems and Adult Health, Baltimore, MD.

Nursing Outlook
|August 30, 2020
PubMed
Summary
This summary is machine-generated.

The Consolidated Framework for Implementation Research (CFIR) identified seven key factors that differentiate high and low implementation fidelity in multi-site studies. This framework aids in understanding context

Keywords:
Implementation sciencefidelitytranslational research

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Area of Science:

  • Implementation Science
  • Translational Research
  • Healthcare Management

Background:

  • The Consolidated Framework for Implementation Research (CFIR) offers a structured approach to identify factors influencing the successful implementation of complex interventions in clinical settings.
  • Understanding these factors is crucial for optimizing the integration of research findings into practice.

Purpose of the Study:

  • To investigate implementation constructs within a multi-site translational research study focused on hospital discharge readiness.
  • To differentiate study sites exhibiting low versus high implementation fidelity using the CFIR framework.

Main Methods:

  • A descriptive study design was employed, involving interviews with Principal Investigators from eight high-fidelity and eight low-fidelity sites.
  • Interviews were guided by questions derived from 20 relevant CFIR constructs.
  • Data analysis utilized CFIR-specific rules, a rating scale from +2 to -2, and NVivo 11 for memo creation.

Main Results:

  • A bimodal distribution of differences was observed, with seven CFIR constructs significantly distinguishing between high and low fidelity sites (≥5-point difference).
  • These seven constructs represent critical determinants of implementation success.

Conclusions:

  • The CFIR serves as a valuable determinant framework for pinpointing contextual elements that impact implementation fidelity.
  • Applying the CFIR can enhance the understanding of factors influencing clinical research outcomes and intervention effectiveness.