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http://dx.doi.org/10.14475/kjhpc.2018.21.3.75

Prediction of Patient Discharge Status Based on Indicators on Admission  

Chung, Sung-In (Department of Family Medicine, Pusan National University Hospital)
Lee, Seung Hun (Department of Family Medicine, Pusan National University Hospital)
Kim, Yun-Jin (Department of Family Medicine, Pusan National University Hospital)
Lee, Sang-Yeoup (Department of Medical Education, Pusan National University School of Medicine)
Lee, Jeong-Gyu (Department of Family Medicine, Pusan National University Hospital)
Yi, Yu-Hyeon (Department of Family Medicine, Pusan National University Hospital)
Cho, Young-Hye (Department of Family Medicine, Pusan National University School of Medicine)
Tak, Young-Jin (Department of Family Medicine, Pusan National University Hospital)
Hwang, Hye-Rim (Department of Family Medicine, Pusan National University Hospital)
Park, Eun-Ju (Department of Family Medicine, Pusan National University Yangsan Hospital)
Kim, Kyung-Mi (Department of Family Medicine, Pusan National University Hospital)
Publication Information
Journal of Hospice and Palliative Care / v.21, no.3, 2018 , pp. 75-83 More about this Journal
Abstract
Purpose: To provide effective palliative care, it is important to predict not only patients' life expectancy but their discharge status at a time of inpatient admission to a hospice care facility. This study was aimed to identify meaningful life expectancy indicators that can be used to predict patients' discharge status on admission to the facility. Methods: Among 568 patients who were admitted to the hospice ward of P hospital from April 1, 2016 through December 31, 2017, 377 terminal cancer patients were selected. This retrospective cohort study was performed by using performance status, symptoms and signs, socioeconomic status, laboratory findings on admission. Results: Alive discharge was associated with a good performance status that was measured with the Karnofsky and Eastern Cooperative Oncology Group (ECOG) scales and the Global health and Mental status. Less anorexia, dyspnea, dysphagia and fatigue were also associated with symptoms and signs. Associated laboratory findings were close to normal Complete Blood Cell (CBC) count, Liver Function Test (LFT) and Blood Urea Nitrogen (BUN). Conclusion: Our findings suggest that Karnofsky Performance Status (KPS), ECOG, Global health, Mental status, anorexia, dyspnea, dysphagia, fatigue, CBC, LFT, BUN are meaningful indicators when predicting discharge status for inpatients. Further investigation is warranted.
Keywords
Hospices; Patient discharge; Performance status; Signs and symptoms; Socioeconomic factors; Hematologic tests;
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