Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases
Real world data (RWD) is increasingly used to investigate health outcomes and treatment efficacy in the field of integrative medicine. Due to the fact that the majority of RWDs are not intended for research, their secondary use in research necessitates complex study designs to account for bias and c...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Integrative Medicine Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213422023000793 |
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| author | Ye-Seul Lee Yoon Jae Lee In-Hyuk Ha |
| author_facet | Ye-Seul Lee Yoon Jae Lee In-Hyuk Ha |
| author_sort | Ye-Seul Lee |
| collection | DOAJ |
| description | Real world data (RWD) is increasingly used to investigate health outcomes and treatment efficacy in the field of integrative medicine. Due to the fact that the majority of RWDs are not intended for research, their secondary use in research necessitates complex study designs to account for bias and confounding. To conduct a robust analysis of RWD in integrative medicine, a comprehensive study design process that reflects the characteristics of integrative therapies is necessary. In this paper, we present a guide for designing comparative effectiveness RWE research in integrative medicine. We discuss key factors to consider when selecting RWDs for research on integrative medicine. We provide practical steps for developing a research question, formulating the PICOT objectives (population, intervention, comparator, outcome, and time horizon), and selecting and defining covariates with a summary table. Specific study designs are depicted with corresponding diagrams. Finally, data analysis procedures are introduced. We hope this article clarifies the importance of RWE research design and related processes in order to improve the rigor of RWD studies in the field of integrative medicine research. |
| format | Article |
| id | doaj-art-1bca63b2b2554451aa73a5059f0d888d |
| institution | Kabale University |
| issn | 2213-4220 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Integrative Medicine Research |
| spelling | doaj-art-1bca63b2b2554451aa73a5059f0d888d2025-08-20T03:54:43ZengElsevierIntegrative Medicine Research2213-42202023-12-0112410100010.1016/j.imr.2023.101000Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databasesYe-Seul Lee0Yoon Jae Lee1In-Hyuk Ha2Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, KoreaJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, KoreaCorresponding author at: Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Korea.; Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, KoreaReal world data (RWD) is increasingly used to investigate health outcomes and treatment efficacy in the field of integrative medicine. Due to the fact that the majority of RWDs are not intended for research, their secondary use in research necessitates complex study designs to account for bias and confounding. To conduct a robust analysis of RWD in integrative medicine, a comprehensive study design process that reflects the characteristics of integrative therapies is necessary. In this paper, we present a guide for designing comparative effectiveness RWE research in integrative medicine. We discuss key factors to consider when selecting RWDs for research on integrative medicine. We provide practical steps for developing a research question, formulating the PICOT objectives (population, intervention, comparator, outcome, and time horizon), and selecting and defining covariates with a summary table. Specific study designs are depicted with corresponding diagrams. Finally, data analysis procedures are introduced. We hope this article clarifies the importance of RWE research design and related processes in order to improve the rigor of RWD studies in the field of integrative medicine research.http://www.sciencedirect.com/science/article/pii/S2213422023000793AcupunctureIntegrative medicineReal world dataReal world evidenceEpidemiology |
| spellingShingle | Ye-Seul Lee Yoon Jae Lee In-Hyuk Ha Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases Integrative Medicine Research Acupuncture Integrative medicine Real world data Real world evidence Epidemiology |
| title | Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases |
| title_full | Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases |
| title_fullStr | Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases |
| title_full_unstemmed | Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases |
| title_short | Real-world data analysis on effectiveness of integrative therapies: A practical guide to study design and data analysis using healthcare databases |
| title_sort | real world data analysis on effectiveness of integrative therapies a practical guide to study design and data analysis using healthcare databases |
| topic | Acupuncture Integrative medicine Real world data Real world evidence Epidemiology |
| url | http://www.sciencedirect.com/science/article/pii/S2213422023000793 |
| work_keys_str_mv | AT yeseullee realworlddataanalysisoneffectivenessofintegrativetherapiesapracticalguidetostudydesignanddataanalysisusinghealthcaredatabases AT yoonjaelee realworlddataanalysisoneffectivenessofintegrativetherapiesapracticalguidetostudydesignanddataanalysisusinghealthcaredatabases AT inhyukha realworlddataanalysisoneffectivenessofintegrativetherapiesapracticalguidetostudydesignanddataanalysisusinghealthcaredatabases |