An Interactive Web-Based Software for Epidemiological Research Designs

Yıl 2021, Cilt: 7 Sayı: 1, 122 - 131, 30.04.2021

Fatma Hilal Yağın Burak Yağın Cemil Çolak

https://doi.org/10.19127/mbsjohs.899812

Cited By: 1

Öz

Objective: The aim of this study is the development of Epidemiological Research Design software that enables to determine the correct epidemiological research design have web-based, free and Turkish / English language options.
Methods: From Epidemiological Research Designs in the software developed; a definitive system has been established for Case Presentation, Case Series, Correlational (Ecological), Cross-Sectional Research, Case / Control, Cohort, Field Intervention, Clinical Intervention, Ethnography, Phenomenology, Grounded Theory and Qualitative Case Studies. For this purpose, questions are asked to the researcher to determine which research design to use. This software has been developed using the Python programming language. For this purpose, the dash library in Python was used.
Results: Determining the research design before starting a study is a very important step. Although there are some differences in the grouping of epidemiological studies in various sources, the characteristics of the methods are basically the same. It is thought that the software developed in this study will allow researchers to determine the correct research design by eliminating these differences. The developed software can be accessed at http://biostatapps.inonu.edu.tr/EATY/.
Conclusion: It is thought that the web-based software developed, free and with Turkish / English language options, will guide and contribute to researchers in determining epidemiological research designs.

Anahtar Kelimeler

Epidemiological Research Designs, Observational Studies, Experimental Studies, Qualitative Research, Python

Kaynakça

• 1. Ranganathan P, Aggarwal R. Study designs: Part 1–An overview and classification. Perspectives in clinical research. 2018;9(4):184.
• 2. Parab S, Bhalerao S. Study designs. International journal of Ayurveda research. 2010;1(2):128.
• 3. Sargeant J, Kelton D, O'Connor A. Study designs and systematic reviews of interventions: building evidence across study designs. Zoonoses and public health. 2014;61:10-7.
• 4. Pearce N. Classification of epidemiological study designs. International journal of epidemiology. 2012;41(2):393-7.
• 5. DiPietro NA. Methods in epidemiology: observational study designs. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy. 2010;30(10):973-84.
• 6. Aggarwal R, Ranganathan P. Study designs: part 2–descriptive studies. Perspectives in clinical research. 2019;10(1):34.
• 7. Rowley J. Using case studies in research. Management research news. 2002.
• 8. Lu CY. Observational studies: a review of study designs, challenges and strategies to reduce confounding. International journal of clinical practice. 2009;63(5):691-7.
• 9. Grimes DA, Schulz KF. Descriptive studies: what they can and cannot do. The Lancet. 2002;359(9301):145-9.
• 10. Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annual review of public health. 2000;21(1):121-45.
• 11. Schulz KF, Grimes DA. Case-control studies: research in reverse. The Lancet. 2002;359(9304):431-4.
• 12. Lichtenstein MJ, Mulrow CD, Elwood PC. Guidelines for reading case-control studies. Journal of chronic diseases. 1987;40(9):893-903. 13. Schlesselman JJ. Case-control studies: design, conduct, analysis: Oxford university press; 1982.
• 14. Rothman KJ, Greenland S, Lash TL. Case–control studies. Encyclopedia of Quantitative Risk Analysis and Assessment. 2008;1.
• 15. Levin KA. Study design III: Cross-sectional studies. Evidence-based dentistry. 2006;7(1):24-5.
• 16. Sedgwick P. Cross sectional studies: advantages and disadvantages. Bmj. 2014;348.
• 17. Levin KA. Study design IV: cohort studies. Evidence-based dentistry. 2006;7(2):51-2.
• 18. Grimes DA, Schulz KF. Cohort studies: marching towards outcomes. The Lancet. 2002;359(9303):341-5.
• 19. Euser AM, Zoccali C, Jager KJ, Dekker FW. Cohort studies: prospective versus retrospective. Nephron Clinical Practice. 2009;113(3):c214-c7.
• 20. Mann C. Observational research methods. Research design II: cohort, cross sectional, and case-control studies. Emergency medicine journal. 2003;20(1):54-60.
• 21. Miller NE. Experimental studies of conflict. 1944.
• 22. Abrahamse W, Steg L, Vlek C, Rothengatter T. A review of intervention studies aimed at household energy conservation. Journal of environmental psychology. 2005;25(3):273-91.
• 23. Forbes A. Clinical intervention research in nursing. International Journal of Nursing Studies. 2009;46(4):557-68.
• 24. Gluud LL. Bias in clinical intervention research. American journal of epidemiology. 2006;163(6):493-501.
• 25. Kristensen TS. Intervention studies in occupational epidemiology. Occupational and environmental medicine. 2005;62(3):205-10.
• 26. Rothman J, Thomas EJ. Intervention Research: Design and development for the human service: Psychology Press; 1994.
• 27. SG T. Temel epidemiyoloji. Ankara, Türkiye: Hipokrat Kitapevi. 2017.
• 28. Arnould EJ, Wallendorf M. Market-oriented ethnography: interpretation building and marketing strategy formulation. Journal of marketing research. 1994;31(4):484-504.
• 29. Denzin NK, Lincoln YS. Strategies of qualitative inquiry: Sage; 2008.
• 30. Jasper MA. Issues in phenomenology for researchers of nursing. Journal of advanced nursing. 1994;19(2):309-14.
• 31. Willig C. Introducing qualitative research in psychology: McGraw-hill education (UK); 2013.
• 32. Giorgi AP, Giorgi BM. The descriptive phenomenological psychological method. 2003.
• 33. Glaser BG, Strauss AL. The Discovery of Grounded Theory-Strategies for Qualitative Research (London, Weiderfeld and Nicolson). Přejít k původnímu zdroji. 1967.
• 34. Goulding C. Grounded theory, ethnography and phenomenology: A comparative analysis of three qualitative strategies for marketing research. European journal of Marketing. 2005.
• 35. Lutz M. Programming python: " O'Reilly Media, Inc."; 2001.
• 36. Wassertheil-Smoller S. Biostatistics and epidemiology: Springer; 2004.
• 37. Jekel JF, Katz DL, Elmore JG, Wild D. Epidemiology, biostatistics and preventive medicine: Elsevier Health Sciences; 2007.