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Muhammad Waseem, MD Research Director Emergency Medicine

Teaching a statistical program in emergency medicine research rotations: Command-driven or click-driven?. Muhammad Waseem, MD Research Director Emergency Medicine Lincoln Medical & Mental Health Center Bronx, New York. Disclosure.

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Muhammad Waseem, MD Research Director Emergency Medicine

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  1. Teaching a statistical program in emergency medicine research rotations: Command-driven or click-driven? Muhammad Waseem, MD Research Director Emergency Medicine Lincoln Medical & Mental Health Center Bronx, New York

  2. Disclosure • Financial disclosures: None

  3. Background • Stata is a command-driven program • It is a general-purpose statistical software package used by people of different backgrounds and professional disciplines • Most Stata users are non-physicians

  4. Background • No matter which book you choose or which course you attend…. • Since Stata is used by people in many fields, most training programs offered are geared toward programmers and non-physicians

  5. Background • Although Stata has simple commands, these may be difficult for non-programmers to use • Generally, physicians are familiar with “clicking on” rather than writing commands

  6. Background • Research is an important part of curriculum of emergency medicine residency training • A Research Project is necessary for graduation of EM residents

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

  8. Background • ACGME fully accredited 3 year Emergency MedicineResidency Training Program • 33 EM residents (11 / year)

  9. EM Research Rotation • Formulating a research question • Basic research design • Protocol writing and submission to IRB • Data Collection • Basic statistical concepts

  10. EM Research Rotation • Data recording • Data entry • Data analysis

  11. Background • First step is to organize the raw data into a format which is compatible with Stata

  12. Objectives • Does introduction of a Statistical program (such as Stata) improve the accuracy of data recording and data entry?

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

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

  15. Methods • Emergency Medicine Stata Manual describing basic operation of Stata created with version 10

  16. Methods • This manual was developed keeping in mind the needs of in-training Emergency Medicine Residents • EM residents mayhave some basic knowledge of statistics but no knowledge of Stata • Emphasis on data entry and data import

  17. Emergency Medicine Stata Manual • Just an introduction designed for first time users

  18. 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

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

  20. 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

  21. Methods • Keep it simple • Utilize pull-down menus (rather than commands) • No discussion on commands

  22. Methods • Getting started • Stata screen • 4 Windows, 9 Tabs

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

  24. Methods • 9 Tabs • File, Edit, Prefs, Data, Graphics, Statistics, User, Window, and Help

  25. Methods • Basic commands with pull-down menus Describe and summarize data • Data input and output Data Import Saving files

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

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

  28. Limitations • Observational study • No standardized method • Small sample • Single center study

  29. Implications • It is necessary to develop a training program that addresses the needs of physicians

  30. Acknowledgement • Biostatistics Course (2009) Weill Medical College of Cornell University New York

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