[논문]다빈도 협진 질환의 후향적 진료기록 분석 연구 : 예비연구

공나경; 이현주; 이찬; 황진섭; 이인

doi:10.22246/jikm.2021.42.4.563

다빈도 협진 질환의 후향적 진료기록 분석 연구 : 예비연구
Retrospective Medical Record Analysis on Frequent Disease of Collaboration: A Pilot Study 원문보기

대한한방내과학회지 = The journal of internal Korean medicine, v.42 no.4, 2021년, pp.563 - 571

공나경 (부산대학교 한의학전문대학원 한의학과) , 이현주 (의.한의 협진모니터링센터) , 이찬 (부산대학교한방병원 한방내과) , 황진섭 (대구대학교 수리빅데이터학부) , 이인 (부산대학교한방병원 한방내과)

Abstract ▼ AI-Helper

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.

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표/그림 (11)

표 Table 1. Overall Status of Collaboration and Non-Collaboration by Institution and Disease Code
표 Table 2. Status of Collaboration and Non-Collaboration by Disease Code
표 Table 3. Follow up of Outcome Measure
표 Table 4. Baseline Characteristics of Disease Code : M
표 Table 5. Baseline Characteristics of Disease Code : S
그림 Fig. 1. Propensity score distribution : M code.
그림 Fig. 2. Propensity score distribution : S code.
표 Table 6. Balance Between Groups Before and After Matching of Disease Code : M
표 Table 7. Balance Between Groups Before and After Matching of Disease Code : S
표 Table 8. Results of Fit Test for GEE Model in Disease Code : M
표 Table 9. Results of Fit Test for GEE Model in Disease Code : S

참고문헌 (5)

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_tablenews&wr_id35842]
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.

원문보기 상세보기
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.

원문보기 상세보기
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.

상세보기
Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci 2010; 25(1):1-21.

상세보기

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