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KMID : 0387320210310040451
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Korean Journal of Health Policy and Administration
2021 Volume.31 No. 4 p.451 ~ p.461
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Factors Influencing Readmission of Convalescent Rehabilitation Patients: Using Health Insurance Review and Assessment Service Claims Data
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Shin Yo-han
Jeong Hyoung-Sun
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Abstract
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Background: Readmissions related to lack of quality care harm both patients and health insurance finances. If the factors affectingreadmission are identified, the readmission can be managed by controlling those factors. This paper aims to identify factors thataffect readmissions of convalescent rehabilitation patients.
Methods: Health Insurance Review and Assessment Service claims data were used to identify readmissions of convalescent patientswho 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 andgeneralization 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 cordinjury group and the musculoskeletal system group than in the brain injury group. The risk of readmission increases as the severityof patients and the number of patients per rehabilitation medicine specialist increases. Besides, the readmission risk is higher in menthan 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, itis necessary to prepare a mechanism for policy management of readmission.
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KEYWORD
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Convalescent, Rehabilitation, Patient readmission, Health Insurance Review and Assessment Service claims data, Generalization estimation equation
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