what negative implications can occur from combining data from quantitative sources that may have different populations and research guidelines, and how can that process hurt us as healthcare providers?
Collecting of data requires great deal of work. For any research data analysis plays an vital role as it combine to tell about the concepts, theories, methods and framework which also arrives and generalises the hypotheses.
Generalising the research results are the final stage of any quantitative study. It makes the future decision making for the population in the same scenario.
When the data to be combined from quantitative to generalise or dessiminate it should have the characteristic of homogeneity when this homogeneity lacks it ends up to have the consequences. Similarly when the results to be generalises with the statistical analysis of quantitative dats it must be similar or it would have negative implications :
* no proper decision making
* lack of evidence based practice
* poor background and framework
This process hurt us as in a way we're the individualised care approach towards the patient is been disturbed. The generalisation and implementation of the evidence based practice would be more challenging.
what negative implications can occur from combining data from quantitative sources that may have different populations...
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