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      Path Analysis on Medical Expenditures of 855 Patients with Chronic Kidney Disease in a Hospital in Beijing

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          Abstract

          Background:

          Investigate into the medical expenditures of chronic kidney disease (CKD) patients through path analysis method of three consecutive years within a Grade-A tertiary hospital in Beijing to conduct the main influencing factors in diagnosis-related groups (DRGs) grouping of the diagnosis, and reassess the present grouping process to provide information and reference on cost control for hospitals and medical management departments.

          Methods:

          Eight hundred and fifty-five inpatient cases whose first diagnosis were defined as CKD in the year 2014–2016 within the hospital were selected as the sample of the study, multiple linear regression and path analysis method were adopted in DRGs grouping process to investigate the main influencing factors of total medical expenditures and DRGs grouping process.

          Results:

          The maximum proportion of the medical costs within CKD patients was the costs on treatment, with the highest of 35.3% on the year 2014, the second was the costs on drug, which accounted for <30% during consecutive years, and the third was the costs on examination, which accounted for about 20% on average. The main influencing factors of medical expenditures included the type of dialysis, length of hospitalization, the admission of Intensive Care Unit (ICU), and so on. The coefficients toward the effect for total costs were 0.416, 0.376, and 0.094, respectively.

          Conclusions:

          It is suggested that the type of dialysis and the admission of ICU were the major influencing factors of inpatient medical expenditures on CKD patients, and should be taken into consideration into the reassessment of DRGs grouping process to realize the localization and generalization of prospective payment system based on DRGs within the regional area and promote the implementation of medical cost control measures to reduce the economic burdens among patients and the society.

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          Most cited references18

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          Cardiac diseases in maintenance hemodialysis patients: results of the HEMO Study.

          Cardiac disease is a common cause of death in chronic hemodialysis patients. A subanalysis of the data on cardiac diseases in the Hemodialysis (HEMO) Study was performed. The specific objectives were: (1) to analyze the prevalence of cardiac disease at baseline; (2) to characterize the incidence of various types of cardiac events during follow-up; (3) to examine the association of cardiac events during follow-up with baseline cardiac diseases; and (4) to examine the effect of dose and flux interventions on various types of cardiac events. The HEMO Study is a randomized multi-center trial on 1846 chronic hemodialysis patients at 15 clinical centers comprising 72 dialysis units. The scheduled maximum follow-up duration was 0.9 to 6.6 years, with the mean actual follow-up of 2.84 years. The interventions were standard-dose versus high-dose and low-flux versus high-flux hemodialysis in a 2 x 2 factorial design. At baseline, 80% of patients had cardiac diseases, including ischemic heart disease (IHD) (39%), congestive heart failure (40%), arrhythmia (31%), and other heart diseases (63%). There were a total of 1685 cardiac hospitalizations, with angina and acute myocardial infarction accounting for 42.7% of these hospitalizations. There were 343 cardiac deaths during follow-up, accounting for 39.4% of all deaths. IHD was implicated in 61.5% of the cardiac deaths. Any cardiac disease at baseline was highly predictive of cardiac death during follow-up [relative risk (RR) 2.57; 95% CI 1.73-3.83]. There were no significant effects of dose or flux assignments on the primary outcome of all-cause mortality or the main secondary cardiac composite outcome of first cardiac hospitalization or all-cause mortality. Assignment to high-flux dialysis was, however, associated with decreased cardiac mortality and the composite outcome of first cardiac hospitalization or death from cardiac causes. The HEMO Study identified IHD to be a major cause of cardiac hospitalizations and cardiac deaths. Future strategies for the prevention of cardiac diseases in the maintenance hemodialysis population should focus on this entity. Although high-flux dialysis did not reduce all-cause mortality, it might improve cardiac outcomes. This hypothesis needs to be further examined.
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            Excerpts from the US Renal Data System 2009 Annual Data Report.

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              US Renal Data System 2012 Annual Data Report.

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                Author and article information

                Journal
                Chin Med J (Engl)
                Chin. Med. J
                CMJ
                Chinese Medical Journal
                Medknow Publications & Media Pvt Ltd (India )
                0366-6999
                05 January 2018
                : 131
                : 1
                : 25-31
                Affiliations
                [1]Department of Nephrology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China
                Author notes
                Address for correspondence: Prof. Yong-Hui Mao, Department of Nephrology, Beijing Hospital, National Center of Gerontology, Beijing 100730, China E-Mail: maoyonghui0214@ 123456bjhmoh.cn
                Article
                CMJ-131-25
                10.4103/0366-6999.221266
                5754954
                29271376
                e1f542c4-25ff-4c07-b3f4-b35cb1173400
                Copyright: © 2017 Chinese Medical Journal

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

                History
                : 15 August 2017
                Categories
                Original Article

                chronic kidney disease,diagnosis-related groups,medical expenditures

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