[논문]회복기 재활환자의 재입원에 영향을 미치는 요인: 건강보험 청구자료를 이용하여

신요한; 정형선

doi:10.4332/kjhpa.2021.31.4.451

회복기 재활환자의 재입원에 영향을 미치는 요인: 건강보험 청구자료를 이용하여
Factors Influencing Readmission of Convalescent Rehabilitation Patients: Using Health Insurance Review and Assessment Service Claims Data 원문보기

Health policy and management = 보건행정학회지, v.31 no.4, 2021년, pp.451 - 461

신요한 (연세대학교 대학원 보건행정학과) , 정형선 (연세대학교 보건과학대학 보건행정학과)

Abstract ▼ AI-Helper

Background: Readmissions related to lack of quality care harm both patients and health insurance finances. If the factors affecting readmission are identified, the readmission can be managed by controlling those factors. This paper aims to identify factors that affect readmissions of convalescent rehabilitation patients. Methods: Health Insurance Review and Assessment Service claims data were used to identify readmissions of convalescent patients who were admitted in hospitals and long-term care hospitals nationwide in 2018. Based on prior research, the socio-demographics, clinical, medical institution, and staffing levels characteristics were included in the research model as independent variables. Readmissions for convalescent rehabilitation treatment within 30 days after discharge were analyzed using logistic regression and generalization estimation equation. Results: The average readmission rate of the study subjects was 24.4%, and the risk of readmission decreases as age, length of stay, and the number of patients per physical therapist increase. In the patient group, the risk of readmission is lower in the spinal cord injury group and the musculoskeletal system group than in the brain injury group. The risk of readmission increases as the severity of patients and the number of patients per rehabilitation medicine specialist increases. Besides, the readmission risk is higher in men than women and long-term care hospitals than hospitals. Conclusion: "Reducing the readmission rate" is consistent with the ultimate goal of the convalescent rehabilitation system. Thus, it is necessary to prepare a mechanism for policy management of readmission.

주제어

표/그림 (6)

표 Table 1. General characteristics of hospitalization of individual unit (N=58,533)
표 Table 2. General characteristics of hospitalization of institutional unit
표 Table 3. Results of univariate analysis for readmission
표 Table 4. Factors affecting readmission (results of logistic regression analysis)
표 Table 5. Factors affecting readmission (results of generalized estimating equation analysis)
표 Table 6. Correlation analysis result between variables of staffing level

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저자의 다른 논문 :

표제어: PCR

동의어: Packet Collision Rate

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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