Objectives: This pilot study aimed to confirm the possibility of applying our design to the main study, a retrospective medical record analysis of the diseases which have most frequently been treated with collaborations of Korean and Western medicine, and to identify what corrections and statistical models are needed to conduct the main study. Methods: Data were collected from a case report form developed for patients who received treatment in the medical institutions. Appropriate statistical techniques, like Propensity Score (PS) and Generalized Estimation Equation (GEE) models, were used to compare the indicators of collaboration and non-collaboration groups for patients in comparable diseases. Results: Using PS matching for each M and S disease group, the indicators were compared by balancing the collaboration and non-collaboration group, and the GEE models compared indicators between groups in each disease over follow-up. Through this process we identified two limitations, insufficient samples and a large deviation of the follow-up period. Conclusion: This pilot study confirmed that the study design and case report form are applicable. The main study will be conducted by collecting sufficient samples and reflecting deviation of follow-up period.
본 연구는 2019년 보건복지부 한·양방 협진 모니터링센터 운영지원사업에 의해 수행되었음.
References
Kim DY. Implementation of the third-stage pilot project for Korean and Western Medicine Collaboration. Akomnews. 2019 7. 23. [Available from:https://www.akomnews.com/bbs/board.php?bo_table=news&wr_id=35842]
Jun EH, Lee HJ, Cho MK, Kim NK, Lee I. Trend Analysis of Korean-Western Medicine Collaboration Studies by Disease Group. The Journal of Internal Korean Medicine 2020;41(4):658-67.https://doi.org/10.22246/jikm.2020.41.4.658
Kwak SG, Shin IH. Clinical data analysis in retrospective study through equality adjustment between groups. Journal of the Korean Data and Information Science Society 2015;26(6):1317-25.https://doi.org/10.7465/jkdi.2015.26.6.1317
Rubin DB. Using Propensity Scores to Help Design Observational Studies: Application to the Tobacco Litigation. Health Services and Outcomes Research Methodology 2001;2(3):169-88.https://doi.org/10.1023/A:1020363010465
Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci 2010; 25(1):1-21.https://doi.org/10.1214/09-STS313