H-Index
34
Scimago Lab
powered by Scopus
JCR
Clarivate
Analytics
call: +1.631.629.4327
Mon-Fri 10 am - 2 pm EST

Logo



eISSN: 2329-0358

Healthcare Resource Use, Cost, and Sick Leave Following Kidney Transplantation in Sweden: A Population-Based, 5-Year, Retrospective Study of Outcomes: COIN

Bengt von Zur-Mühlen, Viktor Wintzell, Aaron Levine, Mats Rosenlund, Suzanne Kilany, Sara Nordling, Jonas Wadström

(Department of Surgical Sciences, Transplantation Surgery, Uppsala University Hospital, Uppsala, Sweden)

Ann Transplant 2018; 23:852-866

DOI: 10.12659/AOT.911843

Published: 2018-12-14


BACKGROUND: Improved understanding of the impact of kidney transplantation on healthcare resource use/costs and loss of productivity could aid decision making about funding allocation and resources needed for the treatment of chronic kidney disease in stage 5.
MATERIAL AND METHODS: This was a retrospective study utilizing data from Swedish national health registers of patients undergoing kidney transplantation. Primary outcomes were renal disease-related healthcare resource utilization and costs during the 5 years after transplantation. Secondary outcomes included total costs and loss of productivity. Regression analysis identified factors that influenced resource use, costs, and loss of productivity.
RESULTS: During the first year after transplantation, patients (N=3120) spent a mean of 25.7 days in hospital and made 21.6 outpatient visits; mean renal disease-related total cost was €66,014. During the next 4 years, resource use was approximately 70% (outpatient) to 80% (inpatient) lower, and costs were 75% lower. Before transplantation, 62.8% were on long-term sick leave, compared with 47.4% 2 years later. Higher resource use and costs were associated with age <10 years, female sex, graft from a deceased donor, prior hemodialysis, receipt of a previous transplant, and presence of comorbidities. Higher levels of sick leave were associated with female sex, history of hemodialysis, and type 1 diabetes. Overall 5-year graft survival was 86.7% (95% CI 85.3–88.2%).
CONCLUSIONS: After the first year following transplantation, resource use and related costs decreased, remaining stable for the next 4 years. Demographic and clinical factors, including age <10 years, female sex, and type 1 diabetes were associated with higher costs and resource use.

Keywords: Cost of Illness, Dialysis, Graft Survival, Registries, Regression Analysis, Renal Insufficiency, Chronic



Back