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Table 2 Input parameters

From: Rapid cost-effectiveness analysis: hemodialysis versus peritoneal dialysis for patients with acute kidney injury in Rwanda

Parameters

Base Case

Sensitivity analysis

Distribution

Sources

Source number

Disease Burden

 

Prevalence

2.8%

  

Igiraneza et al. 2018

[19]

In-hospital annual mortality from not recovering from PD or HD

34%

  

Igiraneza et al. 2018

[19]

Annual mortality for AKI hospital survivors on dialysis from other comorbidities

8.2%

7.2%–9.2%

Normal

Klarenbach et al. 2009

[27]

Annual in-hospital mortality from PD or HD complication plus other comorbidities

63%

45%–65%

Normal

Klarenbach et al. 2009

[27]

Unit costs per patient (RWF, inflated, 2022)

 

Total costs

     

Payer perspective (full 18 sessions)

     

Costs of PD treatment

3,187,259

 ± 30%

Gamma

RSSB 2018

[7]

Cost of HD treatment

3,656,194

 ± 30%

Gamma

RSSB 2018

[7]

Payer perspective (5 sessions)

     

Costs of PD treatment

1,687,615

 ± 30%

Gamma

RSSB 2018

(7)

Cost of HD treatment

1,890,082

 ± 30%

Gamma

RSSB 2018

[7]

Direct medical costs

 

Bundled cost of catheter, drugs, labs, etc. PD

955,589

 ± 30%

Gamma

  

Bundled cost of catheter, drugs, labs, etc. HD

613,262

 ± 30%

Gamma

  

Palliative care (same for PD and HD)

690,296

 ± 30%

Gamma

Afiatin et al. 2017

[11]

Kit costs HD

1,984,847

 ± 30%

Gamma

  

Dialysate costs PD

1,474,494

 ± 30%

Gamma

  

Direct non-medical costs

     

Staff costs PD

530,024

 ± 30%

Gamma

HLMA 2019, Author’s calc

[30]

Overheads PD

227,153

 ± 30%

Gamma

Aboagye et al. 2010, Author's calc

[31]

Staff costs HD

716,146

 ± 30%

Gamma

HLMA 2016, RSSB 2018

[7, 30]

Overheads HD

306,920

 ± 30%

Gamma

Aboagye et al. 2010, Author's calc

[31]

Annualized machine depreciation HD

35,019

 ± 30%

Gamma

Authors’ assumption

 

*Operating costs = staff + overhead

     

Transition probabilities

     

Transition probability HD complication to hospital PD

1%

0.5%–5%

Beta

Authors’ assumption

 

Transition probability PD complication to hospital HD

1%

0.5%–5%

Beta

Authors’ assumption

 

Transition probability hospital HD to HD complication

4%

2%–6%

Gamma

Afiatin et al. 2017

[11]

Transition probability hospital PD to PD complication

25%

20%–50%

Gamma

Afiatin et al. 2017

[11]

Transition probability of HD complication to partial recovery

0.2%

0.1%–0.5%

Beta

Authors’ assumption

 

Transition probability of PD complication to partial recovery

0.2%

0.1%–0.5%

Beta

Authors’ assumption

 

Transition probability HD complication to recovered

71%

46%–82%

Beta

Klarenbach et al. 2009

[27]

Transition probability PD complication to recovered

71%

46%–82%

Beta

Klarenbach et al. 2009

[27]

Transition probability HD complication plus other complications

0.2%

0.1%–0.5%

Beta

Authors’ assumption

 

Transition probability PD complication plus other complications

0.2%

0.1%–0.5%

Beta

Authors’ assumption

 

Transition probability hospital HD to not recovery

34%

50%–80%

Beta

Igiraneza et al. 2018

[19]

Transition probability hospital PD to not recovery

34%

40%–75%

Beta

Igiraneza et al. 2018

[19]

Utility

     

Utility of dialysis independent

0.81

0.65 -0. 90

Normal

Garay et al. 2019

[28]

Utility for PD without complication

0.62

0.52 – 0.72

Beta

Klarenbach et al. 2009

[27]

Utility for HD without complication

0.62

0.52 – 0.72

Beta

Klarenbach et al. 2009

[27]

Utility for PD with complication

0.31

0.13 – 0.49

Beta

Afiati et al. 2017

[11]

Utility for HD with complication

0.37

0.15 – 0.59

Beta

Afiati et al. 2017

[11]

Discounting

     

Discounting rate for cost

3%

0%–5%

 

iDSI Reference Case

[23]

Discounting rate for utility

3%

0%–5%

 

iDSI Reference Case

[23]

HLMA: Health Labour Market Survey 2016; RLFS: Rwanda Labour Force Survey 2016