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Browsing by Subject "Research Design"
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Item Electronic health information quality challenges and interventions to improve public health surveillance data and practice(Association of Schools of Public Health, 2013) Dixon, Brian E.; Siegel, Jason A.; Oemig, Tanya V.; Grannis, Shaun J.; Computer & Information Science, School of ScienceOBJECTIVE: We examined completeness, an attribute of data quality, in the context of electronic laboratory reporting (ELR) of notifiable disease information to public health agencies. METHODS: We extracted more than seven million ELR messages from multiple clinical information systems in two states. We calculated and compared the completeness of various data fields within the messages that were identified to be important to public health reporting processes. We compared unaltered, original messages from source systems with similar messages from another state as well as messages enriched by a health information exchange (HIE). Our analysis focused on calculating completeness (i.e., the number of nonmissing values) for fields deemed important for inclusion in notifiable disease case reports. RESULTS: The completeness of data fields for laboratory transactions varied across clinical information systems and jurisdictions. Fields identifying the patient and test results were usually complete (97%-100%). Fields containing patient demographics, patient contact information, and provider contact information were suboptimal (6%-89%). Transactions enhanced by the HIE were found to be more complete (increases ranged from 2% to 25%) than the original messages. CONCLUSION: ELR data from clinical information systems can be of suboptimal quality. Public health monitoring of data sources and augmentation of ELR message content using HIE services can improve data quality.Item Guideline Assessment Project II: statistical calibration informed the development of an AGREE II extension for surgical guidelines(Springer, 2021-08) Tsokani, Sofia; Antoniou, Stavros A.; Moustaki, Irini; López-Cano, Manuel; Antoniou, George A.; Flórez, Ivan D.; Silecchia, Gianfranco; Markar, Sheraz; Stefanidis, Dimitrios; Zanninotto, Giovanni; Francis, Nader K.; Hanna, George H.; Morales-Conde, Salvador; Bonjer, Hendrik Jaap; Brouwers, Melissa C.; Mavridis, Dimitrios; Surgery, School of MedicineOBJECTIVE: To inform the development of an AGREE II extension specifically tailored for surgical guidelines. AGREE II was designed to inform the development, reporting, and appraisal of clinical practice guidelines. Previous research has suggested substantial room for improvement of the quality of surgical guidelines. METHODS: A previously published search in MEDLINE for clinical practice guidelines published by surgical scientific organizations with an international scope between 2008 and 2017, resulted in a total of 67 guidelines. The quality of these guidelines was assessed using AGREE II. We performed a series of statistical analyses (reliability, correlation and Factor Analysis, Item Response Theory) with the objective to calibrate AGREE II for use specifically in surgical guidelines. RESULTS: Reliability/correlation/factor analysis and Item Response Theory produced similar results and suggested that a structure of 5 domains, instead of 6 domains of the original instrument, might be more appropriate. Furthermore, exclusion and re-arrangement of items to other domains was found to increase the reliability of AGREE II when applied in surgical guidelines. CONCLUSIONS: The findings of this study suggest that statistical calibration of AGREE II might improve the development, reporting, and appraisal of surgical guidelines.