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Strategies for Establishing Inclusion and Exclusion Standards for a Systematic Study or Meta-Analysis, Illustrated by Practical Examples

In a systematic literature review, particular standards are applied to decide whether studies are included or left out, these are known as eligibility or inclusion/exclusion criteria.

Creating Criteria for Inclusion and Exclusion in Systematic Literature Reviews or Meta-Analyses,...
Creating Criteria for Inclusion and Exclusion in Systematic Literature Reviews or Meta-Analyses, Illustrated with Examples

Strategies for Establishing Inclusion and Exclusion Standards for a Systematic Study or Meta-Analysis, Illustrated by Practical Examples

Hey there! Systematic Literature Reviews (SLRs) are a hot topic, especially when it comes to conducting top-notch dissertation work. In this guide, we'll delve into the essence of eligibility criteria and see why they play a significant role in SLRs and Meta-Analyses.

Why Fuss About Eligibility Criteria?

Eligibility criteria, a crucial aspect of SLRs, help maintain focus, reduce bias, promote standardization, increase transparency, enhance efficiency, and uphold ethical considerations. Let's break it down:

  • Upfront Focus: Clear criteria ensure only relevant studies are included, preventing tiresome information that doesn't align with the research question or objectives.
  • Minimizing Bias: Objective criteria minimize subjective judgments during study selection and boost the review's reliability and validity.
  • Transparent Beauty: Documented criteria enable readers to understand the study selection process, which certainly helps in evaluating and interpreting the results.
  • Efficient Selection: Streamlined study selection process saves valuable time and resources by focusing on the right studies that meet predefined criteria.
  • Ethical Standards: Criteria can incorporate ethical considerations to ensure that research methods are sound and human subjects are protected.

Components of Eligibility Criteria in SLRs

To systematically identify, screen, and select studies for SLRs, you can divide eligibility criteria into the following components:

  • Population: Defines the characteristics of participants for a successful fit with the research question.
  • Intervention/Exposure: Describes the key factor being investigated to ensure that it's relevant to the study.
  • Comparison: Indicates whether a control group or alternative method is needed to assess the intervention or exposure's impact.
  • Outcomes: Lists the primary and secondary outcomes, or parameters, that are expected to provide insights into the study.
  • Study Design: Filters studies based on the desired empirical research methods, including Randomized Controlled Trials, Cohort Studies, and more.
  • Publication Characteristics: Imposes limits on publication language, date, and status for a focused search.

A Lick of Paint: Example of Eligibility Criteria

To make things crystal clear, let's assume the research question is:

"What's the impact of exercise on the mental wellbeing of seniors compared to no exercise?"

Here's a fitting example of eligibility criteria for this specific SLR:

  • Focus on studies with participants aged 65 and above.
  • Consider studies that use exercise-based interventions to improve mental health in seniors.
  • A no-exercise control group or baseline measurements are required.
  • Assess outcomes such as measures of mental health, stress levels, cognitive function, and quality of life.
  • Limited to randomized controlled trials and cohort studies.
  • Includes studies published within the last 10 years, employed peer-review, and were published in English.

So, that's a wrap! Defining eligibility criteria upfront is the way to ensure only relevant, high-quality, and methodologically sound studies are selected for your SLR. After all, a solid foundation leads to a robust outcome, right? 😎

Education and self-development are essential aspects to any researcher embarking on a Systematic Literature Review (SLR) or Meta-Analysis, as learning effective eligibility criteria application can result in more efficient, unbiased, and reliable study selection. Therefore, understanding the components of eligibility criteria, such as population, intervention, comparison, outcomes, study design, and publication characteristics, is a key part of the learning process in conducting top-notch dissertation work.

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