Volume 11, Issue 3 (9-2022)                   JCHR 2022, 11(3): 202-209 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Bahariniya, Madadizadeh F, Khaledi E, Qomi M. Tutorial on Applied Study Designs in Medical Research. JCHR 2022; 11 (3) :202-209
URL: http://jhr.ssu.ac.ir/article-1-892-en.html
1- MSc student of Health Services Management, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2- Center for healthcare Data modeling, Departments of biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3- MSc student of biostatistics, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract:   (186 Views)
Introduction: One of the main pillars of the study is the correct choice of study design. This study aimed to give an overview of different type of study designs in medical research.
Methods: In this tutorial study, all applied research designs in terms of quantitative and qualitative study were reviewed. Accordingly, terms related to "Research Designs" were searched in the online databases such as Google Scholar, PubMed, Web of Science and Scopus.
Results: Based on the findings of the present study, the types of studies are generally divided into two groups: quantitative studies and qualitative studies. Quantitative studies are divided into two categories: primary and secondary studies. Preliminary studies include observational and non-observational studies. Observational studies are divided into two categories: descriptive and analytical studies. Descriptive studies include case reports, cross-sectional studies, cross-sectional correlational studies and ecological studies, and analytical studies include retrospective and group studies. Non-observational studies also include laboratory studies, clinical trials, field trials, and community trials.
Conclusion: With a good understanding of the types of studies, it is easy to decide which type of study is appropriate for the research. Choosing proper study design can reduce the costs of the executive process, increase the accuracy, quality of research and give more reliable results.

 
Full-Text [PDF 531 kb]   (85 Downloads) |   |   Full-Text (HTML)  (38 Views)  
Review: Review | Subject: Epidemiology
Received: 2022/04/19 | Accepted: 2022/09/28 | Published: 2022/09/28

References
1. King WR, He J. Understanding the role and methods of meta-analysis in IS research. Communications of the Association for Information Systems. 2005;16(1):32. [DOI:10.17705/1CAIS.01632]
2. Nadi Ravandi S. Investigation and Introducing a Variety of Synthetic/Mixed and Review Studies in Medical Research. Journal of Sabzevar University of Medical Sciences. 2017;24(4):257-63.
3. Ioannidis J, Kim B, Trounson A. How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation. Nature biomedical engineering. 2018;2(11):797-809. [DOI:10.1038/s41551-018-0314-y]
4. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, et al. How we design feasibility studies. American journal of preventive medicine. 2009;36(5):452-7. [DOI:10.1016/j.amepre.2009.02.002]
5. Burton A, Altman DG, Royston P, Holder RL. The design of simulation studies in medical statistics. Statistics in medicine. 2006;25(24):4279-92. [DOI:10.1002/sim.2673]
6. Weed M, editor " Meta Interpretation": A Method for the Interpretive Synthesis of Qualitative Research. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research; 2005.
7. Stapf C, Mast H, Sciacca R, Berenstein A, Nelson P, Gobin Y, et al. The New York Islands AVM Study: design, study progress, and initial results. Stroke. 2003;34(5):e29-e33. [DOI:10.1161/01.STR.0000068784.36838.19]
8. Adler AI, Stratton IM, Neil HAW, Yudkin JS, Matthews DR, Cull CA, et al. Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study. Bmj. 2000;321(7258):412-9. [DOI:10.1136/bmj.321.7258.412]
9. Zhang G, Ding Y, Milojević S. Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content. Journal of the American Society for Information Science and Technology. 2013;64(7):1490-503. [DOI:10.1002/asi.22850]
10. King N. Doing template analysis. Qualitative organizational research: Core methods and current challenges. 2012;426(10.4135):9781526435620. [DOI:10.4135/9781526435620.n24]
11. Murphy C, Klotz AC, Kreiner GE. Blue skies and black boxes: The promise (and practice) of grounded theory in human resource management research. Human Resource Management Review. 2017;27(2):291-305. [DOI:10.1016/j.hrmr.2016.08.006]
12. Johnston CM, Wallis M, Oprescu FI, Gray M. Methodological considerations related to nurse researchers using their own experience of a phenomenon within phenomenology. Journal of advanced nursing. 2017;73(3):574-84. [DOI:10.1111/jan.13198]
13. Alper B, Riche N, Ramos G, Czerwinski M. Design study of LineSets, a novel set visualization technique. IEEE transactions on visualization and computer graphics. 2011;17(12):2259-67. [DOI:10.1109/TVCG.2011.186]
14. Amaro Jr E, Barker GJ. Study design in fMRI: basic principles. Brain and cognition. 2006;60(3):220-32. [DOI:10.1016/j.bandc.2005.11.009]
15. Chen F, Lui AM, Martinelli SM. A systematic review of the effectiveness of flipped classrooms in medical education. Medical education. 2017;51(6):585-97. [DOI:10.1111/medu.13272]
16. Cohen SB. Design strategies and innovations in the medical expenditure panel survey. Medical care. 2003:III5-III12. [DOI:10.1097/00005650-200307007-00002]
17. DiPietro NA. Methods in epidemiology: observational study designs. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy. 2010;30(10):973-84. [DOI:10.1592/phco.30.10.973]
18. Colditz GA, Miller JN, Mosteller F. How study design affects outcomes in comparisons of therapy. I: Medical. Statistics in medicine. 1989;8(4):441-54. [DOI:10.1002/sim.4780080408]
19. Horn SD, Gassaway J. Practice-based evidence study design for comparative effectiveness research. Medical care. 2007;45(10):S50-S7. [DOI:10.1097/MLR.0b013e318070c07b]
20. Iiyoshi A, Fujiwara M, Motojima O, Ohyabu N, Yamazaki K. Design study for the large helical device. Fusion Technology. 1990;17(1):169-87. [DOI:10.13182/FST90-A29179]
21. Johnson RD, Holbrow CH. Space settlements: A design study: Scientific and Technical Information Office, National Aeronautics and Space …; 1977.
22. Leppink J, Duvivier R. Twelve tips for medical curriculum design from a cognitive load theory perspective. Medical teacher. 2016;38(7):669-74. [DOI:10.3109/0142159X.2015.1132829]
23. Levin KA. Study design III: Cross-sectional studies. Evidence-based dentistry. 2006;7(1):24-5. [DOI:10.1038/sj.ebd.6400375]
24. Battaglio RP, Belle N, Cantarelli P. Self-determination theory goes public: experimental evidence on the causal relationship between psychological needs and job satisfaction. Public Management Review. 2022;24(9):1411-28. [DOI:10.1080/14719037.2021.1900351]
25. Radhakrishnan G. Non-experimental research designs: Amenable to nursing contexts. Asian Journal of Nursing Education and Research. 2013;3(1):25.
26. Masters K, Ellaway R. e-Learning in medical education Guide 32 Part 2: Technology, management and design. Medical teacher. 2008;30(5):474-89. [DOI:10.1080/01421590802108349]
27. Röhrig B, Du Prel J-B, Wachtlin D, Blettner M. Types of study in medical research: part 3 of a series on evaluation of scientific publications. Deutsches Arzteblatt International. 2009;106(15):262. [DOI:10.3238/arztebl.2009.0262]
28. Khalili D, Azizi F, Asgari S, Zadeh-Vakili A, Momenan AA, Ghanbarian A, et al. Outcomes of a longitudinal population-based cohort study and pragmatic community trial: findings from 20 years of the Tehran Lipid and Glucose Study. International journal of endocrinology and metabolism. 2018;16(4 Suppl). [DOI:10.5812/ijem.84748]
29. Salen K. Gaming literacies: A game design study in action. Journal of Educational Multimedia and Hypermedia. 2007;16(3):301-22.
30. Ampatzoglou A, Bibi S, Avgeriou P, Verbeek M, Chatzigeorgiou A. Identifying, categorizing and mitigating threats to validity in software engineering secondary studies. Information and Software Technology. 2019;106:201-30. [DOI:10.1016/j.infsof.2018.10.006]
31. Felizardo KR, da Silva AYI, de Souza ÉF, Vijaykumar NL, Nakagawa EY, editors. Evaluating strategies for forward snowballing application to support secondary studies updates: emergent results. Proceedings of the xxxii brazilian symposium on software engineering; 2018. [DOI:10.1145/3266237.3266240]
32. Sedlmair M, Meyer M, Munzner T. Design study methodology: Reflections from the trenches and the stacks. IEEE transactions on visualization and computer graphics. 2012;18(12):2431-40. [DOI:10.1109/TVCG.2012.213]
33. Stang PE, Ryan PB, Racoosin JA, Overhage JM, Hartzema AG, Reich C, et al. Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership. Annals of internal medicine. 2010;153(9):600-6. [DOI:10.7326/0003-4819-153-9-201011020-00010]

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Journal of Community Health Research

Designed & Developed by : Yektaweb