June 2013

Document Type


Degree Name



Dept. of Medical Informatics and Clinical Epidemiology


Oregon Health & Science University


Background: Health information technologies (HIT) such as electronic health records (EHRs), computerized provider order entry (CPOE) systems. clinical decision support systems (CDSS), and integrated guidelines based systems are key to improving quality of health care. Purpose: The aim of this capstone was to create a codebook that can be used to code articles to conduct a meta-analysis that would be aimed at reviewing the evidence available about the use of HIT/EHRs/CDSS/CPOE on patient and health outcomes. Data Sources: SCOPUS, MEDLINE, CINAHL, Cochrane Central Register of Controlled Trials covering a period from January 1, 1996 to March 31, 2013. Results: A new application was developed to take data from all the above mentioned databases. In comparison to RefWorks this application performed with superior accuracy and was able to de-duplicate and merge datasets with ease. The result was 47,364 unique abstracts after the process of de-duplication was completed. The codebook was created based on the sample of 106/565 studies identified through SCOPUS. The resulting codebook contains eight sections: study characteristics, eligibility, methods, participants, interventions, outcomes, results, and miscellaneous. Limitations: This codebook was based on 106 studies, so some variables may still need to be added or modified to develop a comprehensive codebook. Conclusion: Over 70 thousand studies have been published about the benefits of HIT. Given this large volume of studies, it is time to synthesize these results in a meaningful and unbiased manner. Meta-analysis is the most appropriate method for synthesizing a vast body of information so that the field is able to meaningfully use this synthesized information. We believe that this codebook will at least shorten the time needed for conducting a comprehensive by 6-9 months.




School of Medicine



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