systematic reviews: meta-analysis and meta-synthesis

Card Set Information

Author:
jam110007
ID:
251192
Filename:
systematic reviews: meta-analysis and meta-synthesis
Updated:
2013-12-05 23:30:07
Tags:
3215 final
Folders:
3215,final
Description:
3215 final
Show Answers:

Home > Flashcards > Print Preview

The flashcards below were created by user jam110007 on FreezingBlue Flashcards. What would you like to do?


  1. research integration and synthesis
    The systematic and rigorous integration and synthesis of evidence is a cornerstone of EBP.

    Impossible to develop “best practice” guidelines, protocols, and procedures without organizing and evaluating research evidence through a systematic review
  2. systematic review
    is a review that methodically integrates research evidence about specific research question using careful sampling and data collection procedures that are spelled out in advance in a protocol
  3. forms of systematic reviews
    • meta-analysis
    • metasynthesis
  4. meta-analysis
    • statistical integration of results used to compute common effect size. effect sixes are averaged across studies, yielding not only information about the existence of a relationship between variable in many studies but also an estimate of its magnitude across studies
    • it is the pinnacle of traditional evidence hierarchies
  5. metasynthesis
    • theoretical integration and interpretation of qualitative findings
    • are products that are more than the sum of the parts - they offer new insights and interpretation of findings
  6. meta-analysis advantages
    Objectivity—statistical integration eliminates bias in drawing conclusions when results in different studies are at odds.

    Increased power—reduces the risk of a type II error compared to a single study
  7. criteria for meta-analysis in systematic review
    Research question or hypothesis should be essentially identical across studies.–The “fruit” problem—don’t combine apples and oranges!

    Must be a sufficient knowledge base—must be enough studies of acceptable quality

    Results can be varied but not totally at odds.
  8. Steps in a Meta-Analysis
    Problem formulation: Delineate research question or hypothesis to be tested.

    Design of meta-analysis: Identify sampling criteria for studies to be included.

    Search for evidence in literature: Develop and implement a search strategy.

    Evaluation of study quality: Locate and screen sample of studies meeting the criteria.

    Extract and encode data for analysis.

    Calculate effects.

    Data analysis
  9. Evaluating Study Quality
    • Meta-analysts must make decisions about
    • handling study quality
  10. approaches to evaluating study quality
    • –Omit low-quality studies (e.g., in
    • intervention studies, non-RCTs).

    –Give more weight to high-quality studies.

    • –Analyze low- and high-quality studies to
    • see if effects differ (sensitivity
    • analyses).
  11. Metasynthesis:Some Ongoing Debates
    Whether to exclude low-quality studies

    Whether to integrate studies based in multiple qualitative traditions

    Various typologies and approaches; differing terminology
  12. Metasynthesis:Steps
    Similar to meta-analysis in many ways

    –Formulate problem.

    • –Decide on design: selection criteria,
    • search strategy.

    –Search for data in the literature.

    –Evaluation of study quality.

    –Extract data for analysis.

    –Data analysis and interpretation

What would you like to do?

Home > Flashcards > Print Preview