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Related Concept Videos

Review and Preview01:10

Review and Preview

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Review and Preview01:13

Review and Preview

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Nursing Interventions I: Taxonomy of Nursing Interventions01:03

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Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
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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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General Anesthesia: Overview01:24

General Anesthesia: Overview

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Anesthesia is a medical procedure that uses drugs for CNS suppression to enable painless surgeries and procedures. The selection of anesthetics is influenced by their pharmacokinetic properties, side effects, and patient characteristics. Various types of anesthesia include general, local, regional, spinal, and inhalational.
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Stages of General Anesthesia01:22

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Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
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[Tutorial for performing systematic review and meta-analysis with interventional anesthesia studies].

Fabiano Timbó Barbosa1, Amanda Bastos Lira1, Olavo Barbosa de Oliveira Neto1

  • 1Universidade Federal de Alagoas, Maceió, AL, Brasil.

Brazilian Journal of Anesthesiology (Elsevier)
|February 6, 2019
PubMed
Summary

This tutorial guides planning and executing systematic reviews and meta-analyses for randomized clinical trials. It emphasizes key steps for evidence-based healthcare decisions and improved patient outcomes.

Keywords:
Ensaio clínico randomizadoMetanáliseMeta‐analysisPRISMA statementPrisma statementRandomized clinical trialRevisão sistemáticaSystematic review

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Area of Science:

  • Health Sciences
  • Medical Research Methodology

Background:

  • Systematic literature reviews synthesize existing health research.
  • Ensuring quality and minimizing bias in systematic reviews is critical.
  • The PRISMA statement enhances the reporting of systematic reviews.

Purpose of the Study:

  • To provide a tutorial on planning and executing systematic reviews and meta-analyses.
  • To focus on randomized clinical trial studies for intervention assessment.
  • To improve the quality of systematic review reporting.

Main Methods:

  • Systematic review planning and protocol registration.
  • Implementation of systematic review steps, including data analysis.
  • Dissemination of systematic review findings.
  • Adherence to PRISMA guidelines for reporting.

Main Results:

  • Systematic reviews offer a structured approach to evidence synthesis.
  • Methodological rigor in systematic reviews reduces bias.
  • High-quality systematic reviews improve the reliability of findings.

Conclusions:

  • Systematic reviews enhance clinical decision-making confidence.
  • Evidence from systematic reviews optimizes patient benefits.
  • Systematic reviews support public health strategy implementation.