퇴원환자 요약정보를 이용한 이탈환자 특성과관련 요인 연구: 일개 대학병원 사례
A Study on the Characteristics of Prematurely Discharged Patients and the Associated Factors Using Patient Discharge Data: A University Medical Center Case
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Objectives: Patients who are discharged from hospital prematurely have become strategically important for hospital customer relationship management. The purpose of this study was to investigate the characteristics of patients who were discharged prematurely and the associated factors using patient discharge data. Methods: This study used a retrospective, cross-sectional design. Primary data source comes from medical records of patients who were discharged from a university medical center during 2011. Data were analyzed using chi-square test, T-test, Mann-Whitney U test, and multivariate logistic regression to find significant patient characteristics and factors associated with premature discharge. Results: Final research subjects were 18,104 patients after excluding duplicated discharge patients, death patients, and discharges against medical advice. Male sex, older age, and living further away from Seoul were positively associated with premature discharge. Patients who were admitted via emergency room, due to car accident, and referred by other medical providers were more likely to discharge prematurely. Those who were diagnosed with neoplasm or circulatory system illness, and having comorbidities or complications were related to premature discharge. Other factors, such as having consultation treatment, non-favorable treatment outcome, and staying in intensive care unit had higher odds of premature discharge. Conclusions: It is suggested that hospitals monitor patients who would be more likely to be discharged prematurely, and need to address any quality issues during hospitalization if they lead patients to discharge early
Abstract
Objectives: Patients who are discharged from hospital prematurely have become strategically importantfor hospital customer relationship management. The purpose of this study was to investigate the characteristics ofpatients who were discharged prematurely and the associated factors using patient discharge data. Methods: This study used a retrospective, cross-sectional design. Primary data source comes from medical recordsof patients who were discharged from a university medical center during 2011. Data were analyzed usingchi-square test, T-test, Mann-Whitney U test, and multivariate logistic regression to find significant patientcharacteristics and factors associated with premature discharge. Results: Final research subjects were 18,104 patients after excluding duplicated discharge patients, deathpatients, and discharges against medical advice. Male sex, older age, and living further away from Seoulwere positively associated with premature discharge. Patients who were admitted via emergency room, dueto car accident, and referred by other medical providers were more likely to discharge prematurely. Thosewho were diagnosed with neoplasm or circulatory system illness, and having comorbidities or complicationswere related to premature discharge. Other factors, such as having consultation treatment, non-favorabletreatment outcome, and staying in intensive care unit had higher odds of premature discharge. Conclusions: It is suggested that hospitals monitor patients who would be more likely to be discharged prematurely, andneed to address any quality issues during hospitalization if they lead patients to discharge early.
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