Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
Journal website http://www.jocmr.org

Original Article

Volume 9, Number 2, February 2017, pages 104-116


More Use of Peritoneal Dialysis Gives Significant Savings: A Systematic Review and Health Economic Decision Model

Figures

Figure 1.
Figure 1. Model structure. HD: hemodialysis; PD: peritoneal dialysis; CAPD: continuous ambulatory peritoneal dialysis; APD: automated peritoneal dialysis.
Figure 2.
Figure 2. Process of study selection.
Figure 3.
Figure 3. (a) Cost-effectiveness acceptability curve (societal perspective). (b) Cost-effectiveness acceptability curve (societal perspective) for the internal comparison within the HD group. HD: hemodialysis; PD: peritoneal dialysis; WTP: willingness to pay.

Tables

Table 1. Summary of Variables Used in the Base Case Analysis
 
DefinitionValue (SE)Source/note
SE: standard error; QALY: quality-adjusted life year; HD: hemodialysis; PD: peritoneal dialysis. aIncluding costs associated with additional training for nurses in the satellite unit, EUR1,610 per patient per year. bInitial cost. cIncluding costs associated with line rental for broadband and telemedicine equipment. dHD home patients were treated at the hospital in the training period (about 6 weeks) which infrastructure costs were estimated to be EUR1,143 (initial cost). eTravel cost associated with complications and initial of treatment were presented in Supplementary 8 (www.jocmr.org). fIt was assumed that PD patients and HD home patients visit the hospital 12 - 15 times per year. gValue of loss time because of travel during training period (6 weeks) was calculated to be EUR5,917 (initial cost). hWe assumed that 30-50% of patients were accompanied by another person when visiting the medical center. iWe assumed that 10-30% of patients were accompanied by another person when visiting the medical center.
Probabilities (range of 5 years)PD to HD0.05 - 0.14Norwegian Renal Registry [11]
HD to PD0.01 - 0.03
Dialysis to transplant0.07 - 0.13
Dialysis to death0.10 - 0.23
Efficacy estimateAll-cause mortality: PD vs. HD hospital; HD home vs. HD satellite1.11 (0.33)
0.60 (0.31)
Based on the results of our systematic review (Supplementary 4, www.jocmr.org)
QALY weightPatients on dialysis0.54 (0.105)Sennfalt et al, 2005 [19]
Infection-0.19 (0.010)Sennfalt et al, 2005 [19]
Acute myocardial infarction-0.27 (0.03)Lund and Wisloff, 2012 [20]
Angina-0.22 (0.03)Lund and Wisloff, 2012 [20]
Sepsis-0.28 (0.12)Korosec et al, 2006 [21]
Costs per patient per year in EUR (EUR 1.00 ≈ NOK 7.47)HD hospitalHD self-careHD satelliteHD homePD
Personnel costs31,91423,87131,940a3,5025,417Based on the average healthcare staff salary per month from Statistics Norway (Supplementary 5, www.jocmr.org)
Dialysis supplies85,80085,80085,800408,320273,570PD: based on actual price in Norway in 2012
HD: based on data from three major hospitals in Norway
Home HD: based on the price list provided by Oslo University Hospital
Dialysis supplies-trainingb82510,1405,600Assumption
Medication105,68584,235105,68596,42026,282Based on data reported by the Norwegian renal registry, Norwegian Medicines Agency (Supplementary 6, www.jocmr.org)
Laboratory test18,12418,12418,12418,12415,855Based on data provided by Oslo University Hospital
Complications24,33023,59020,84018,88530,570Norwegian Medicine Agency
Wisloff et al, 2012 [13, 14]
Capital costs44,84044,84044,8405,0006,210Nyhus et al, 2007 [12], Oslo University Hospital
Infrastructure costs74,03074,030102,6406,565d6,565Nyhus et al, 2007 [12]
Telemedicinec27,600Bjorvatn, 2004 [15], assumption
Home care27,40589,425[16, 17]
Transport costse227,310227,310165,700160,000f110,000fBased on data obtained from dialysis centres across the country
Staff travel10,800Bjorvatn, 2004 [15]
Value of leisure time; patient287,330287,330287,33027,630f, g27,630 fAssumption [18]
Value of leisure time; companion114,930h57,470i114,930h5,530i11,050 hAssumption [18]

 

Table 2. Results of the Base-Case Cost-Effectiveness Analyses Over a 5-Year Time Horizon From a Societal Perspective (Discounted) (EUR1.00 ≈ NOK7.47)
 
Total costs (EUR)Effects (QALYs)Versus PDSequential ICER (EUR/QALY)
Incremental cost (EUR)Incremental effect (QALYs)ICER (EUR/QALY)
All HD strategies were compared to PD, because none of the more effective strategies were cost-effective compared to PD. QALY: quality-adjusted life year; ICER: incremental cost-effectiveness ratio; INHB: incremental net health benefit; HD: hemodialysis; PD: peritoneal dialysis.
PD164,7411.6825
HD home228,3621.861363,6210.1788355,822355,822
Dominated strategies
  HD hospital317,5011.7169152,7600.03444,440,698Dominated by HD home
  HD self-care261,2601.717096,5190.03442,805785Dominated by HD home
  HD satellite352,0481.7181187,3080.03565,261,461Dominated by HD home

 

Table 3. Cost-Saving With an Increased Proportion of Patients Starting on PD at the Expense of In-Center HD Over 5-Year Time Horizon From a Societal Perspective (EUR1.00 ≈ NOK7.47)
 
Number of patientsCost (in millions, EUR)Cost-saving (in millions, EUR)
HDPDTotalHDPDTotal
HD: hemodialysis; PD: peritoneal dialysis; EU: The European Union. aIn Norway PD in 2012 was actual 15.8%. bIn-center HD includes HD in hospital and satellites.
Norway2017 (annual growth rate of 4%)
PD: 15%a
In-center HD: 85%b
1,2842271,51039837435
Scenario
PD: 30%
In-center HD: 70%
1,0574531,5103287540332
EU2017 (annual growth rate of 4%)
PD: 10%
In-center HD: 90%
328,50036,500365,000101,9236,013107,936
Scenario 1
PD: 20%
In-center HD: 80%
292,00073,000365,00090,59912,026102,6255,311
Scenario 2
PD: 30%
In-center HD: 70%
255,500109,500365,00079,27418,03997,31310,623