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Using and Teaching Stata in Emergency Medicine Research Rotation

Using and Teaching Stata in Emergency Medicine Research Rotation. Muhammad Waseem, MD Research Director Emergency Medicine Lincoln Medical & Mental Health Center Bronx, New York. Disclosure. Financial disclosures: None. Background.

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Using and Teaching Stata in Emergency Medicine Research Rotation

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  1. Using and Teaching Stata in Emergency Medicine Research Rotation Muhammad Waseem, MD Research Director Emergency Medicine Lincoln Medical & Mental Health Center Bronx, New York

  2. Disclosure • Financial disclosures: None

  3. Background • Participation in scholarly activities is a requirement of an Emergency Medicine (EM) Residency Curriculum • A research project is necessary for graduation of EM residents

  4. Background • In order to fulfill this requirement EM residents have a mandatory research rotation

  5. Background • ACGME fully accredited 3 year EMResidency Training Program • 33 EM residents (11 / year)

  6. EM Research Rotation • Formulating a research question • Basic research designs • Protocol writing and submission to IRB • Basic statistical concepts • Data collection/entry and analysis

  7. Background • First step in data analysis is to organize the raw data into a format which can be used by Stata • Stata is a general purpose statistical package • Physicians versus Programmers

  8. Background • We believe that the research understanding of EM residents will be enhanced if they are provided with the basic knowledge of a statistical programprior to data collection and data entry • The purpose of this training is to equip EM residents with the necessary knowledge and understandingthat will help to improve data recording

  9. Objective • Does providing basic knowledge of a Statistical program (such as Stata) improve the accuracy of data recording and data entry?

  10. Methods • Design: Observational • Setting: Emergency Department of an Urban Teaching Hospital • Participants: EM Residents

  11. Methods • Research Elective • Two blocks of 14 days • 1-2 per month (1:1 learning)

  12. Methods • EM Stata Manual describing basic operation of Stata created with version 10

  13. Methods • How does EM Stata manual differ from Stata help?

  14. Methods • How does EM Stata manual differ from Stata help? • This manual was developed keeping in mind the needs of in-training EM Residents • First time users • EM residents mayhave some basic knowledge of statistics but little or no knowledge of Stata • Emphasis on data entry and data import

  15. Methods • Teaches EM residents the essential skills for successful data entry and data import to Stata • Purpose is to reduce the number of incorrect entries and make the data set usable to Stata • Hands-on experience using Stata

  16. Methods • Strengths • Tailored to the needs of a specific audience (EM residents) • Discuss only simple and basic operation of Stata

  17. Methods • Weaknesses • Tailored to the needs of a specific rotation (EM residents research elective) • Does not teach residents detailed statistical analysis • Does not discuss programming

  18. Methods • Keep it simple • We utilize pull-down menus (rather than commands) • No discussion on commands

  19. Methods • Getting started • Stata screen • 4 Windows, 8 Tabs

  20. Methods • 4 Windows • Review • Variables • Results • Command

  21. Methods • 8 Tabs • File, Edit, Data, Graphics, Statistics, User, Window, and Help

  22. Methods • Basic commands with pull-down menus Describe and summarize data Tables of frequencies Tables of mean • Data input and output Data Import Saving files

  23. Methods • Describe data • Data editor • Data browser

  24. Data Sheets Prior to Introducing Stata

  25. Data Sheets After Introducing Stata

  26. Results • Teaching basics of a statistical program (such as Stata) improves the accuracy of data recording and data entry

  27. Conclusions • Basic operation of Stata can be learned quickly by EM residents • Teaching Stata to the EM residents may expand their research related knowledge • Providing introduction of Stata prior to data entry improves accuracy of data recording and facilitates data analysis

  28. Limitations • Small sample • Single center study • Observational study – not standardized

  29. Implications • Little effort before data entry can save significant time in data cleaning • Teaching statistical program during research rotation makes it more practical and interactive

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