Literature DB >> 10906167

Length of stay and costs for hospitalized hemodialysis patients: nephrologists versus internists.

Abhijit V Kshirsagar1, Susan L Hogan1, Larry Mandelkehr2, Ronald J Falk1.   

Abstract

The high cost of hospitalization for hemodialysis patients has become a major health care issue. To address this issue, length of hospital stay and costs for these patients were compared with services covered by nephrologists and services covered by internists. Hemodialysis patients (n = 161) were prospectively admitted 219 times on alternate days to services covered by nephrologists or by internists from July 1995 to March 1996. Admissions to nonmedical services and admissions for overnight observation were excluded. Length of stay, costs, and risk-adjusted predicted length of stay and costs, as well as the number of consultations were compared between services, using Wilcoxon rank sum tests. Readmissions and deaths were compared using chi(2) tests. Mean length of stay for admissions to the nephrology service (n = 114) was 6.3 days compared with 8.1 days for admissions to internal medicine services (n = 105) (P = 0.017). The predicted length of stay was similar. Mean overall cost for admissions under the care of nephrologists was $7,925 versus $10,773 under the care of internists (P = 0.101). The internal medicine service averaged 1.5 consultations versus 0.5 consultations for the nephrology service (P = 0.001). The risk of readmission was 24% for nephrologists and 30% for internists (P = 0.328). Death within 90 days of discharge was 12% for the nephrology group and 22% for the internal medicine group (P = 0.07). The length of stay was significantly shorter for hemodialysis patients under the care of nephrologists compared with internists. The average total costs and risk of readmissions tended to be lower for nephrologists. If these results are corroborated, the care of hemodialysis patients by the nephrologist could diminish the overall expense of the ESRD program.

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Year:  2000        PMID: 10906167     DOI: 10.1681/ASN.V1181526

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  7 in total

1.  Hospital Readmission among New Dialysis Patients Associated with Young Age and Poor Functional Status.

Authors:  LaTonya J Hickson; Bjorg Thorsteinsdottir; Priya Ramar; Megan S Reinalda; Cynthia S Crowson; Amy W Williams; Robert C Albright; Macaulay A Onuigbo; Andrew D Rule; Nilay D Shah
Journal:  Nephron       Date:  2018-01-09       Impact factor: 2.847

Review 2.  Reducing hospital readmissions in patients with end-stage kidney disease.

Authors:  Anna T Mathew; Giovanni F M Strippoli; Marinella Ruospo; Steven Fishbane
Journal:  Kidney Int       Date:  2015-10-14       Impact factor: 10.612

3.  National Trends in Emergency Room Visits of Dialysis Patients for Adverse Drug Reactions.

Authors:  Lili Chan; Aparna Saha; Priti Poojary; Kinsuk Chauhan; Nidhi Naik; Steven Coca; Pranav S Garimella; Girish N Nadkarni
Journal:  Am J Nephrol       Date:  2018-06-12       Impact factor: 3.754

4.  Potential for Cost Saving with Iclaprim Owing to Avoidance of Vancomycin-Associated Acute Kidney Injury in Hospitalized Patients with Acute Bacterial Skin and Skin Structure Infections.

Authors:  Nimish Patel; David Huang; Thomas Lodise
Journal:  Clin Drug Investig       Date:  2018-10       Impact factor: 2.859

5.  Retrospective observational study examining indications for hospitalisation among haemodialysis patients at one of the Ministry of Health Hospitals in Makkah, Saudi Arabia.

Authors:  Amal A Hassanien; Azeem Majeed; Hilary Watt
Journal:  JRSM Open       Date:  2014-10-08

6.  Clinicodemographic Profile of Kidney Diseases in a Tertiary Hospital of Central Nepal, Chitwan: A Descriptive Cross-sectional Study.

Authors:  Madhav Ghimire; Shreeju Vaidya; Hari Prasad Upadhyay
Journal:  JNMA J Nepal Med Assoc       Date:  2020-07-31       Impact factor: 0.406

7.  Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining.

Authors:  Jingyi Wu; Guilan Kong; Yu Lin; Hong Chu; Chao Yang; Ying Shi; Haibo Wang; Luxia Zhang
Journal:  Ann Transl Med       Date:  2020-11
  7 in total

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