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Project HIE STANDARD
Pyramid of Research Validity
Strengthened Overall Research
Meta-analysis pools the important qualitative and quantitative results of a single study into a larger group. Doing so statistically increases the validity of the study altogether. Before the data can be collected, the analyst has to deem the trial combinable to the original study in hopes that the data can be re-analyzed. The use of meta-analysis uses an increased number of studies, more diverse population of studies, and previous statistically proven results to produce concrete numbers driven data.
The method of meta-analysis can be broken down in to a two-step process. The first involves extracting all the relevant data and calculating the results for that data, while the second part decides whether or not to create a pooled result. It is important to remember that meta-analysis should be used to help strengthen the results of the original study and should be treated as one big trial.
Highest Quality of Evidence
When it comes to the use of evidence based medicine in health care research, meta-analysis is at the highest spectrum for quality of evidence. Meta-analysis can be used to prove hypotheses and answer specific questions such as 'does this behavior affect this scenario?' Meta-analysis provides a singular organized overview of the data which helps examine specific questions.
Numerical Graph using Meta-analysis
Greater strength of data
Greater comparison of data
Greater ability to further project data
Considered based on evidence research
Can be a very lengthy process and time consuming as well
Some studies could lack all of the data creating a skewed result
Advanced statistical analyse methods needed
Similarity of study is unaccounted for
Quantitative synthesis, pooling, systematic review
is used interchangeably with the term meta-analysis, and this is not entirely true. Systematic review is strictly the entire process of collecting, reviewing, and presenting the available research, while meta-analysis is solely the statistical method used to withdrawal and combine the data. Meta-analysis should be based upon systemic review, but that does not mean that systemic review will develop into a meta-analysis.
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