Literature DB >> 28325860

Economic costs of automated and continuous ambulatory peritoneal dialysis in Taiwan: a combined survey and retrospective cohort analysis.

Chao-Hsiun Tang1, Yu-Ting Wu1,2, Siao-Yuan Huang1, Hsi-Hsien Chen3,4, Ming-Ju Wu5, Bang-Gee Hsu6, Jer-Chia Tsai7, Tso-Hsiao Chen3,8, Yuh-Mou Sue3,8.   

Abstract

OBJECTIVES: Taiwan succeeded in raising the proportion of peritoneal dialysis (PD) usage after the National Health Insurance (NHI) payment scheme introduced financial incentives in 2005. This study aims to compare the economic costs between automated PD (APD) and continuous ambulatory PD (CAPD) modalities from a societal perspective. DESIGN AND
SETTING: A retrospective cohort of patients receiving PD from the NHI Research Database was identified during 2004-2011. The 1:1 propensity score matched 1749 APD patients and 1749 CAPD patients who were analysed on their NHI-financed medical costs and utilisation. A multicentre study by face-to-face interviews on 117 APD and 129 CAPD patients from five hospitals located in four regions of Taiwan was further carried out to collect data on their out-of-pocket payments, productivity losses and quality of life with EuroQol-5D-5L. OUTCOME MEASURES: The NHI-financed medical costs, out-of-pocket payments and productivity losses of APD and CAPD patients.
RESULTS: The total NHI-financed medical costs per patient-year after 5 years of follow-up were significantly higher with APD than CAPD (US$23 005 vs US$19 237; p<0.01). In terms of dialysis-related costs, APD had higher costs resulting from the use of APD machines (US$795) and APD sets (US$2913). Significantly lower productivity losses were found with APD (US$2619) than CAPD (US$6443), but the out-of-pocket payments were not significantly different. The differences in NHI-financed medical costs and productivity losses between APD and CAPD remained robust in the bootstrap analysis. The total economic costs of APD (US$30 401) were similar to those of CAPD (US$29 939), even after bootstrap analysis (APD, US$28 399; CAPD, US$27 960). No discernable differences were found in the results of mortality and quality of life between the APD and CAPD patients.
CONCLUSIONS: APD had higher annual dialysis-related costs and lower annual productivity losses than CAPD, which made the economic costs of APD very close to those of CAPD in Taiwan. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  economic cost; medical utilization; peritoneal dialysis

Mesh:

Year:  2017        PMID: 28325860      PMCID: PMC5372017          DOI: 10.1136/bmjopen-2016-015067

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This is the first study to evaluate the overall economic costs of automated peritoneal dialysis (APD) and continuous ambulatory peritoneal dialysis (CAPD) modalities. This study comprises a retrospective cohort of patients receiving APD and CAPD from the National Health Insurance Research Database and a multicentre study by face-to-face interviews of APD and CAPD patients. The information about out-of-pocket payments and productivity losses collected from patient interviews, which were rarely assessed in previous studies, adds important economic data to the overall evaluation of the costs associated with patients undergoing APD and CAPD. The unidentified laboratory data from the database and other potential confounding factors such as patient preference, self-care ability and physician selection are drawbacks of this study. Productivity losses related to presentism (impaired productivity or reduced effectiveness at work associated with APD or CAPD) are not included in this study.

Introduction

Given that both the incidence and prevalence rates of end-stage renal disease (ESRD) in Taiwan are among the highest in the world, this particular disease has become an increasing burden on the Taiwan National Health Insurance (NHI) system's finances; indeed, by 2011, the cost of dialysis accounted for an astonishing 7.2% of the total annual NHI expenditure.1 2 In an attempt to contain the total costs of dialysis, in addition to applying a blanket budget cap on dialysis expenditure, a series of strategies were implemented by the NHI administrators to change the incentives relating to the choices of dialysis modalities. Since peritoneal dialysis (PD) has an all-cause mortality rate similar to that of haemodialysis (HD), but with lower medical costs,3–6 from 2005 onwards administrators within the Taiwan NHI have been actively promoting the use of PD, including automated PD (APD) and continuous ambulatory PD (CAPD), as a viable alternative treatment for dialysis. This is being achieved by a reduction in reimbursements for HD and a corresponding increase in those for PD, as well as the NHI payment scheme covering the APD machine costs. As a result, the use of PD in Taiwan has been gradually increasing, from 6.5% in 2003 to 8.5% in 2007 and 10.3% in 2009.7 In terms of the global trend, Taiwan has now succeeded in raising the proportion of PD usage to the average level within developed countries.8 With the increasing usage of PD, the costs of the APD and CAPD modalities have become an important issue. Although there appears to have been very limited analysis of the costs involved in APD and CAPD, two specifically focused studies have revealed that APD has higher medical costs than CAPD, with the greatest differences being the costs of the dialysis machines and disposables.9–11 The prior studies have not, however, examined the differences between APD and CAPD in terms of the non-dialysis-related medical utilisation, which may be attributable to complications and clinical outcomes brought about by APD or CAPD; neither did they report differences in the out-of-pocket payment, including expenses on caregivers, as well as productivity losses from patients and family. Therefore, we set out in this study, from a societal perspective, to compare economic costs between APD and CAPD patients in Taiwan using population-based NHI claims data and face-to-face interviews.

Methods

Data sources, study design, setting and population

The joint institutional Review Board of Taipei Medical University approved this study (No. 201 503 057). The first part of this study was a nationwide retrospective cohort study covering the years 2004 to 2011 based on the claims data obtained from the National Health Insurance Research Database (NHIRD). Taiwan's mandatory-enrolment, single-payer NHI programme was launched on 1 March 1995, with the programme now covering more than 23 million enrollees, representing over 99% of the entire population. The NHIRD contains registration files and original claims data for the reimbursement of medical services by enrollees, potentially making it one of the largest and most comprehensive administrative healthcare databases worldwide. The NHIRD has been utilised for previous epidemiologic research, and the results have been validated for HD and PD patients.12 13 Comprehensive details on the files used from the NHIRD in this study have already been provided in our previous work.14 ESRD patients requiring long-term dialysis in Taiwan are identified as patients with a catastrophic illness, as confirmed by two nephrologists, who may then be exempted from co-payments within the NHI system. The cohort of incident patients receiving long-term PD in the present study (new ESRD patients) were identified from the registry for catastrophic illness (International Classification of Diseases, 9th Revision, Clinical Modification, (ICD-9-CM), 585) within the NHIRD. These PD patients were in receipt of long-term PD therapy for at least three consecutive months between 1 January 2006 and 31 December 2010. Clinical characteristics were collected on the sample patients, with these patients subsequently being followed-up by referring to the NHIRD database covering the period from 1 January 2004 to 31 December 2011. We further categorised the patients into two types, APD or CAPD, according to whether they were receiving PD via a cycler for at least 90 days after the initiation of PD. A total of 1801 patients receiving APD therapy, and 4205 patients receiving CAPD therapy, were included in this study. A schematic illustration of the inclusion and exclusion criteria of the study sample is provided in figure 1. The second part of this study was a multicentre study by cross-sectional interviews on patients over 18 years old, carried out at the nephrology outpatient clinics of five hospitals located in northern, central, southern and eastern Taiwan from April 2015 to March 2016. The patient interviews were performed face to face by well-trained nurses from the site or graduate students from Taipei Medical University. All the interviewers had attended interviewer training before they performed the interview. In total, there were 117 APD patients and 129 CAPD patients available for analysis.
Figure 1

Study sample selection process. Automated peritoneal dialysis (APD) or continuous ambulatory peritoneal dialysis (CAPD) patients were further categorised according to whether they were receiving peritoneal dialysis (PD) via a cycler for at least 90 days after the initiation of PD. Clinical characteristics of the national cohort study were collected and followed-up covering the period from 2004 to 2011.

Study sample selection process. Automated peritoneal dialysis (APD) or continuous ambulatory peritoneal dialysis (CAPD) patients were further categorised according to whether they were receiving peritoneal dialysis (PD) via a cycler for at least 90 days after the initiation of PD. Clinical characteristics of the national cohort study were collected and followed-up covering the period from 2004 to 2011.

Outcome measurement

The NHI-financed medical costs and utilisation during the 5-year period after the index date are the main outcomes of interest in the national cohort study. The ‘index date’ is defined in this study as the first day on which the corresponding patient started receiving their APD or CAPD therapy for a period of at least 90 days. The patients were then followed-up for a period of up to 5 years until 31 December 2011, when the data were censored, or until the occurrence of: (1) the change from APD to CAPD modality for at least 60 days, or vice versa (to evaluate the pure therapeutic period of APD or CAPD); (2) the change from PD to HD for at least 90 days; (3) the receipt of a kidney transplant; or (4) the death of the patient. The medical costs that had been incurred by each patient were traced back, starting from the index date to the last day of the follow-up period, after which we then calculated the total medical costs classified by the ‘outpatient’, ‘emergency’ and ‘inpatient’ departments. The total medical costs were divided on the basis of whether they were ‘dialysis-related’ or ‘non-dialysis related’. The ‘dialysis-related’ costs were defined as: (1) costs of the APD machine and set; (2) costs of erythropoietin and PD solution; (3) administration, physician and nursing fee; and (4) intubation and extubation cost of the PD catheter. The total medical utilisation was subsequently calculated from the index date to the last day of the follow-up period, with all utilisation being classified by specific departments. The total medical costs and number of medical visits per patient-year were defined as the total medical costs and number of medical visits within the follow-up period divided by the number of days in the same period. There were no differences in terms of administration, physician and nursing fees between the APD and CAPD patients. There were also no regional differences in the amount reimbursed for medical services in Taiwan. The secondary outcomes examined the differences in out-of-pocket payments, productivity losses and health-related quality of life (QoL) between APD and CAPD patients. There were two sources of time loss evaluated: patients' and caregivers' time spent in seeking care, and time spent in operating dialysis apparatus at home. Productivity losses were valued using the ‘human capital-cost approach’,15 and were measured by multiplying the loss of time in hours or days with average hourly/daily wage rate reported by the Directorate-General of Budget, Accounting, and Statistics, Taiwan (see online supplementary table S1). Out-of-pocket payments included all expenses related to ESRD paid by the patient/family and not reimbursed by the NHI, such as expenses for medicines, medical materials and devices, herbal and complementary medicines, and nutritional supplements. QoL was elicited using the visual analogue scale, and the EuroQol-5D-5L (EQ-5D-5L) with five levels of severity. The EQ-5D-5L index score was calculated based on a scoring algorithm representing the preferences of Japanese residents because there is no population-based preference weight available in Taiwan.16

Statistical analysis

A logistic regression analysis was carried out on the APD versus CAPD patients using the variables listed in online supplementary table S2. We then used the propensity score analysis to match the APD patients with the CAPD patients.17 Further analyses began with a comparison of those patients who were in receipt of either the APD or CAPD therapy at the baseline. Second, an independent paired t-test was then carried out to analyse the normally-distributed continuous variables, as well as a Wilcoxon rank sum test to analyse the non-normally distributed continuous variables by their median level. In addition, χ2 tests were carried out on the categorical variables. Third, the log-rank test and the Kaplan-Meier method were used to examine the mortality and chart the survival curves. Then a Cox proportional hazard regression was performed to examine the differences in patient survival. Fourth, in analysing the patient interview survey data, the Mann-Whitney U test and Wilcoxon rank sum test were performed to assess the differences between the APD and CAPD patients. Finally, a bootstrap analysis was further performed on NHI-financed medical costs, as well as on out-of-pocket payments and productivity losses, by forming 1000 bootstrap samples of APD and CAPD patients of equal size (1749 vs 1749 the in national cohort study, and 117 vs 129 in the patient interview survey) with replacement. The difference between the groups was considered to be significant if the two-sided p value was <0.05. All of the analyses in this study were undertaken using the SAS 9.3 software (SAS Institute, Cary, North Carolina, USA). Additionally, the PD patients, who have a catastrophic illness, may receive lower wage rates than the general population, resulting in lower productivity losses. In order to assess the impact of productivity losses on the total economic costs, we adjusted the productivity losses for the mean Taiwan unemployment rate during the interview period18 and then set the productivity losses with a 20%, 30% or 40% decrement of wages as different scenarios to calculate the total economic costs.

Results

Demographic characteristics

Figure 1 shows the study sample selection process. A total of 1749 APD patients and 1749 CAPD patients were enrolled in the national cohort study, and a total of 117 APD patients and 129 CAPD patients were interviewed in the multicentre cross-sectional study. Demographic characteristics are shown in online supplementary tables S2 and S3. There were 265 patients who were put on HD (15.2%) among the APD patients during the 45 192 patient-months of follow-up. The result was greater than the 206 patients (11.8%) among the CAPD patients during the 47 272 patient-months of follow-up (APD: 70.4 per 1000 patient-years, CAPD: 52.3 per 1000 patient-years; p<0.01). There were 324 deaths (18.5%) among the APD patients during the 45 192 patient-months of follow-up. This was greater than the 311 deaths (17.8%) among the CAPD patients during the 47 272 patient-months of follow-up (APD: 86.0 per 1000 patient-years, CAPD: 78.9 per 1000 patient-years; p=0.22). The survival rates at 60 months for the APD and CAPD patients were 61.5% and 62.3%, respectively (see online supplementary figure S1). The result of Cox proportional hazard regression showed the APD and CAPD patients had a similar risk of death after adjusting for age, Charlson comorbidity index score, diabetes and cardiovascular diseases (p=0.13).

The NHI-financed medical costs and utilisation

The NHI-financed medical costs per patient-year for both the APD and CAPD patients are reported in table 1. The median total medical costs were found to be US$3769 higher among the APD patients than the CAPD patients (US$23 005 vs US$19 237, p<0.01). Following further classification of the medical costs based on the various departments, the APD patients were found to have significantly higher median costs than the CAPD patients in both the outpatient care (US$20 158 vs US$16 883, p<0.01) and the inpatient care (US$1197 vs US$992, p=0.01). If classified based on dialysis-related or non-dialysis-related costs, the APD patients had higher median costs than the CAPD patients (US$19 235 vs US$16 050, p<0.01), with the largest difference between the two groups being in the outpatient care (US$18 579 vs US$15 594, p<0.01). Non-dialysis-related medical costs were also found to be higher among the APD patients than the CAPD patients (US$2975 vs US$2639, p<0.01), with the largest difference between the two groups being in the inpatient care (US$1007 vs US$863, p=0.03). In the bootstrap analysis, the mean total medical costs were found to be US$3589 higher among the APD patients than the CAPD patients (US$23 488 vs US$19 899, p<0.001).
Table 1

NHI-financed medical costs per patient-year for PD patients

APD (n=1749)
CAPD (n=1749)
Median differencep Value
VariablesMeanMedianSDMeanMedianSD
Total medical costs (US$)*25 49823 00510 64621 87919 23716 6353769<0.01
Classified by departments
 Outpatient department20 01020 158360716 91816 88374193275<0.01
 Emergency department26310052423785470150.14
 Inpatient department5225119710 766472499212 4232060.01
Classified by non-dialysis or dialysis
 Non-dialysis-related6296297597035964263916 013336<0.01
  Outpatient department15741258150515951207690051<0.01
  Emergency department2569951023284463140.15
  Inpatient department446610079338413786311 2101440.03
 Dialysis-related (by department)19 20219 235334015 91416 05029173185<0.01
  Outpatient department18 43618 579334415 32315 59428852985<0.01
  Emergency department7043402600.04
  Inpatient department75991172058741161051<0.01
 Dialysis-related (by items)19 20219 235334015 91416 05029173185<0.01
  APD set2391291310894802132913<0.01
  APD machine81379520816061795<0.01
  Cost of erythropoietin1622176365416181736620270.80
  PD-related costs†3390346641634073470409–40.02
  PD solution960997622464988710 1072178–346<0.01
  Others137781118739385031627308<0.01
 Dialysis-related (by quantities)
  Quantity of PD solution (L)3653370074026512706629994<0.01
  PRBC transfusion (unit)3.7013.53.308.700.15
  Oral iron supply (mg)2956010 35721550878700.40
  Erythropoietin (DDD)‡145.25.186.2145.15.285.500.96
  Extubation of PD catheter0.0600.290.0500.2400.35
After bootstrap analysis
 Total medical costs (US$)*23 48878319 899173<0.001
  Non-dialysis-related47236294340168<0.001
  Dialysis-related18 85915715 76876<0.001

*US$1=30 New Taiwan Dollars.

†Costs include: (1) administration, physician and nursing fee; and (2) intubation and extubation cost of peritoneal dialysis catheter.

‡1 DDD=1000 IU epoetin alfa=1000 IU epoetin beta=5 μg darbepoetin alfa=4 μg methoxy polyethylene glycol-epoetin beta.

APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; DDD, defined daily dose; NHI, National Health Insurance; PD, peritoneal dialysis; PRBC, packed red blood cell.

NHI-financed medical costs per patient-year for PD patients *US$1=30 New Taiwan Dollars. †Costs include: (1) administration, physician and nursing fee; and (2) intubation and extubation cost of peritoneal dialysis catheter. ‡1 DDD=1000 IU epoetin alfa=1000 IU epoetin beta=5 μg darbepoetin alfa=4 μg methoxy polyethylene glycol-epoetin beta. APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; DDD, defined daily dose; NHI, National Health Insurance; PD, peritoneal dialysis; PRBC, packed red blood cell. Expenditure on the PD solution was found to be the highest cost item among all of the categories in both patient groups. Although the PD solution costs of the APD patients were significantly lower than those of the CAPD patients (US$9762 vs US$10 107, p<0.01), the APD patients were found to require significantly higher quantities of the PD solution than the CAPD patients (3700 L vs 2706 L, p<0.01). The greatest differences in the dialysis-related costs were found to be the costs of the APD machines (US$795 vs US$0, p<0.01), and those of the APD sets (US$2913 vs US$0, p<0.01). No discernible differences were found in the costs and the defined daily dosage (DDD) of erythropoietin between the APD and CAPD patients. The annual NHI-financed medical utilisation rates for both the APD and CAPD patients are reported in table 2, whereas no differences were found in the all items between the two patient groups.
Table 2

Annual NHI-financed medical utilisation per patient-year of peritoneal dialysis patients

VariablesAPD (n=1749)
CAPD (n=1749)
Median differencep Value
MeanMedianSDMeanMedianSD
Total no. of visits/hospitalisations44.5840.6318.8644.5140.5020.090.130.53
Visits classified by department
 Outpatient visits41.5638.1317.7741.5937.8918.900.240.68
  Dialysis-related visits14.3512.434.3913.4912.403.480.030.24
  Non-dialysis-related visits27.2223.7317.5428.1124.3818.67−0.650.25
 Emergency room visits1.660.902.471.600.872.330.040.51
 Hospitalisations1.360.791.691.310.761.750.030.23

APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Annual NHI-financed medical utilisation per patient-year of peritoneal dialysis patients APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Multicentre cross-sectional study for out-of-pocket payments and productivity losses

Results of the out-of-pocket payment, productivity losses and QoL are reported in table 3. There were no discernable differences between the APD and CAPD patients in the out-of-pocket payments (US$1075 vs US$855, p=0.62), although the APD patients had significantly higher co-payment for outpatient visits than the CAPD patients (US$60 vs US$48, p=0.03). Compared with the CAPD patients, the APD patients had lower annual productivity losses (US$2619 vs US$6443, p<0.001), resulting from less time spent seeking care (APD, 45.0 hours vs CAPD, 59.9 hours, p<0.001), and less time spent operating dialysis apparatus (APD, 330.4 hours vs CAPD, 821.3 hours, p<0.001). In terms of QoL, there were no significant differences between the APD and CAPD patients in each dimension of EQ-5D-5L. Details of EQ-5D-5L by five severity levels are shown in online supplementary table S4. The results of the mean out-of-pocket payments, productivity losses and EQ-5D-5L index remained unchanged in the bootstrap analysis.
Table 3

Per patient-year out-of-pocket payments and productivity losses as well as quality of life by interview survey of peritoneal dialysis patients

VariablesAPD (n=117)
CAPD (n=129)
Median differencep Value
MeanMedianSDReporting moderate to extreme problems (%)MeanMedianSDReporting moderate to extreme problems (%)
Out-of-pocket payments (US$)201210752861217085531822200.62
 Co-payment to outpatient visits1656028312648274120.03
 Co-payment to hospitalisations4170920381081600.66
 Medicine not covered by NHI424678613740667670.22
 Medical equipment18812026516567312530.19
 Chinese medication14901247402500.12
 Traditional medicine360311607000.02
 Nutritional supplements18405612460121400.52
 Caregiver costs381016977830243800.35
 Transportation costs683994845889−190.12
Productivity losses (US$)*300626192159612564433234−3824<0.001
 Seeking outpatient care
  From patients274214211341333254−1180.04
  From family caregivers1250235192035200.19
 Seeking inpatient care
  From patients4020600426058800.75
  From family caregivers2540489334053900.16
 Time spent operating dialysis apparatus195220201626483150592780−3039<0.001
Visual analogue scale72.875.015.669.070.017.90.05
Utility from EuroQol-5D-5L index†0.820.870.190.820.870.210.68
 Mobility7.713.20.16
 Self-care9.49.30.98
 Usual activities7.713.20.16
 Pain/discomfort12.816.30.44
 Anxiety/depression11.114.70.40
After bootstrap analysis
Out-of-pocket payments (US$)20192612171272<0.001
Productivity losses (US$)30072006125285<0.001
EuroQol-5D-5L index0.820.020.820.020.52

*US$1=30 New Taiwan Dollars.

†Using tariffs from Japanese version of EuroQol-5D-5L.

APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Per patient-year out-of-pocket payments and productivity losses as well as quality of life by interview survey of peritoneal dialysis patients *US$1=30 New Taiwan Dollars. †Using tariffs from Japanese version of EuroQol-5D-5L. APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Economic costs

The total economic costs per patient-year, including the direct medical costs by NHI, out-of-pocket payments and productivity losses, are reported in table 4. NHI-financed medical costs comprised of a higher proportion of the total economic costs among the APD patients than those of the CAPD patients; in contrast, productivity losses contributed to a higher proportion of the total economic costs among the CAPD patients than among the APD patients. The total economic costs of APD (US$30 401) were similar to those of CAPD (US$29 939), even after bootstrap analysis (APD, US$28 399; CAPD, US$27 960). After considering the productivity losses under various scenarios, the differences in total economic costs between the APD and CAPD patients slightly increased in models 2–4.
Table 4

Total economic costs per patient-year of APD and CAPD patients

VariablesAPDCAPD
Direct medical costs by NHI (US$)*25 49821 879
Out-of-pocket payments (US$)20122170
Productivity losses (US$)30066125
 Adjusted for unemployment rate†28915890
 Adjusted for unemployment rate and a 20% decrement in wages23124712
 Adjusted for unemployment rate and a 30% decrement in wages20234123
 Adjusted for unemployment rate and a 40% decrement in wages17343534
Total costs, model 1‡30 40129 939
Total costs, model 2‡29 82228 761
Total costs, model 3‡29 53328 172
Total costs, model 4‡29 24427 583
After bootstrap analysis
Direct medical costs by NHI (US$)23 48819 899
Out-of-pocket payments (US$)20192171
Productivity losses (US$)30076125
 Adjusted for unemployment rate†28925890
 Adjusted for unemployment rate and a 20% decrement in wages23134712
 Adjusted for unemployment rate and a 30% decrement in wages20244123
 Adjusted for unemployment rate and a 40% decrement in wages17353534
Total costs, model 1‡28 39927 960
Total costs, model 2‡27 82026 782
Total costs, model 3‡27 53126 193
Total costs, model 4‡27 24225 604

*US$1=30 New Taiwan Dollars.

†Adjusted for mean Taiwan unemployment rate (3.82%) between April 2015 and March 2016.

‡Models 1–4: Total costs include direct medical costs financed by NHI, out-of-pocket payments, and productivity losses adjusted for unemployment rate (model 1); adjusted for unemployment rate and a 20% decrement in wages (model 2); adjusted for unemployment rate and a 30% decrement in wages (model 3); adjusted for unemployment rate and a 40% decrement in wages (model 4).

APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Total economic costs per patient-year of APD and CAPD patients *US$1=30 New Taiwan Dollars. †Adjusted for mean Taiwan unemployment rate (3.82%) between April 2015 and March 2016. ‡Models 1–4: Total costs include direct medical costs financed by NHI, out-of-pocket payments, and productivity losses adjusted for unemployment rate (model 1); adjusted for unemployment rate and a 20% decrement in wages (model 2); adjusted for unemployment rate and a 30% decrement in wages (model 3); adjusted for unemployment rate and a 40% decrement in wages (model 4). APD, automated peritoneal dialysis; CAPD, continuous ambulatory peritoneal dialysis; NHI, National Health Insurance.

Discussion

The main results of this study using Taiwan's population-based claims data and interview survey data demonstrate that total economic costs of APD (US$29 977) were close to the costs of CAPD (US$30 750). The annual medical costs for the APD patients were US$3769 higher than those of the CAPD patients, with the greatest difference (US$2985) being found in the costs of outpatient care for dialysis, accounting for 80% of the difference in the total costs. The main source of the differences between the APD patients and CAPD patients in terms of dialysis-related costs were those of the APD machines and APD sets. As regards the medical utilisation rates, no significant differences were discernible between the APD and CAPD patients. The results from the interview survey demonstrated lower productivity losses in the APD patients than the CAPD patients, but no differences were detected in the out-of-pocket payments among the two patient groups. The differences in direct medical costs paid by NHI and productivity losses between APD and CAPD remained robust in the bootstrap analysis. The NHI-financed medical utilisation between the APD and CAPD patients are quite similar; however, a significantly higher total of the NHI-financed medical costs were discernible among the APD patients than among the CAPD patients. This would seem to indicate that the costs per outpatient or emergency room visit are higher among the APD patients. Furthermore, while the APD patients were found to have similar numbers of hospitalisation to the CAPD patients (0.79 vs 0.76, p=0.23), the APD patients were found to have higher inpatient costs than the CAPD patients, particularly those relating to non-dialysis inpatient treatment. This would seem to indicate that the costs per hospitalisation are again higher or the hospital stays are longer among the APD patients than the CAPD patients, possibly owing to the higher incident rate of patients changed to HD among the APD patients (APD: 70.4 per 1000 patient-years, CAPD: 52.3 per 1000 patient-years; p<0.01). The NHI-financed dialysis-related costs of the APD patients are approximately 1.2 times higher than those of the CAPD patients, which is in line with the results of several related studies carried out in other countries.9 19–21 The major sources of the higher dialysis-related costs for the APD patients were found to be the APD machines (4.2%), APD sets and PD solution (62.5%), and erythropoietin (8.4%), while those for the CAPD patients were PD solution (62.4%) and erythropoietin (10.2%). The differences between the dialysis-related costs for the APD patients and the CAPD patients were mainly attributable to the costs of the APD machines and APD sets (table 1). These costs were US$3708 higher among the APD patients than the CAPD patients. When compared to CAPD, APD involves the use of a cycler and extra line sets, which explains the higher dialysis costs involved in the APD treatment. The results of a related UK study also indicated that the greatest differences in costs between APD and CAPD were attributable to the APD machines and disposables.9 In addition, APD patients had the lower costs and higher quantities of PD solutions. The most likely reasons were that the per-litre cost of the commonly used 5 L bag PD solution for APD is much cheaper than that of the commonly used 2 L bag PD solution for CAPD, and that the APD patients usually received shorter dwell time but more exchanges than the CAPD patients to reach adequate dialysis.22 The present study features an overall evaluation of the costs associated with patients undergoing APD and CAPD, with out-of-pocket payments and productivity losses incorporated into the analysis, which were rarely assessed in previous studies. From the payer's perspective, the NHI-financed medical costs of the CAPD seems to be a more cost-saving modality than those of the APD; however, from a societal perspective, the annual economic costs of APD were close to those of CAPD although differences exist in the proportion of key cost components. Based on the human capital-cost approach,15 the productivity losses were estimated as the reduced future gross income, including reduced paid or unpaid production, due to PD related mortality and/or morbidity and contributed to a lower proportion of the total economic costs for APD rather than that of CAPD. On the other hand, NHI-financed medical costs made up a larger portion of the total economic costs for APD than that of CAPD. This is reflected in the fact that the costs of the productivity losses, resulting from the time spent seeking care and operating dialysis apparatus, were significantly lower in the APD than CAPD patients. With the help of the APD machine, the APD modality spent less time in operating dialysis so as to decrease the productivity losses; however, it correspondingly increases the costs of the APD machines and APD sets. The mortality rates of the APD and CAPD patients were similar and the result did not differ from most of the previous findings of multicentre or nationwide cohort studies.13 19 23 24 In terms of QoL, the results of the visual analogue scale and EQ-5D-5L were quite similar in the APD and CAPD patients (table 3 and online supplementary table S4), which were consistent with the findings published from the literature.25–28 The results of the present study also have some limitations. First, the major drawbacks are those commonly found in administrative database research. Although comorbidities and medications were matched at cohort entry, the patient's weight, peritoneal equilibration test and dialysis clearance, and their level of residual renal function are not available from the NHIRD. These unidentified data are potentially confounding factors in the prescriptions of the peritoneal dialysate dose. Other potential confounding factors that are not available from the claims database when computing the propensity scores were patient preference, self-care ability and physician selection. Second, the productivity losses estimated in this study were the value of time lost by patients and their family caregivers when seeking care/operating dialysis apparatus. Productivity losses related to presentism (impaired productivity or reduced effectiveness at work associated with ESRD) were not included in this study and thus may have led to an underestimation of the economic costs. Finally, the ED-5D-5L index score was calculated based on a scoring algorithm representing the preferences of Japanese residents which may not perfectly represent those of Taiwanese people. Although NHI-financed annual medical costs of CAPD had a greater reduction in expenses than those of the APD, CAPD had higher annual productivity losses than APD. To extend the generalisability of our findings to other national health systems, our results highlight that the APD modality may appear to be more desirable in terms of its substantially lower productivity losses for countries with a higher value of time (hourly wage or daily wage), or with a younger dialysis patient population. In this study, we present a national cohort study to analyse NHI-financed medical utilisation and medical costs and a cross-sectional study to survey the out-of-pocket payments and productivity losses for APD and CAPD patients. From a societal perspective, although APD had higher annual dialysis-related costs financed by NHI, the overall economic costs of APD were very close to those of CAPD because CAPD had higher annual productivity losses than APD.
  25 in total

1.  Comparing automated peritoneal dialysis with continuous ambulatory peritoneal dialysis: survival and quality of life differences?

Authors:  Gowrie Balasubramanian; Khadija McKitty; Stanley L-S Fan
Journal:  Nephrol Dial Transplant       Date:  2010-10-04       Impact factor: 5.992

2.  Similar outcomes with hemodialysis and peritoneal dialysis in patients with end-stage renal disease.

Authors:  Rajnish Mehrotra; Yi-Wen Chiu; Kamyar Kalantar-Zadeh; Joanne Bargman; Edward Vonesh
Journal:  Arch Intern Med       Date:  2010-09-27

3.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

4.  Volume-Based Peritoneal Dialysis Prescription Guide to Achieve Adequacy Targets.

Authors:  Alp Akonur; Catherine A Firanek; Mary E Gellens; Audrey M Hutchcraft; Pranay Kathuria; James A Sloand
Journal:  Perit Dial Int       Date:  2015-08-20       Impact factor: 1.756

5.  Quality of life in automated and continuous ambulatory peritoneal dialysis.

Authors:  Wieneke M Michels; Sandra van Dijk; Marion Verduijn; Saskia le Cessie; Elisabeth W Boeschoten; Friedo W Dekker; Raymond T Krediet
Journal:  Perit Dial Int       Date:  2011-02-28       Impact factor: 1.756

6.  A comparative assessment of survival between propensity score-matched patients with peritoneal dialysis and hemodialysis in Taiwan.

Authors:  Yu-Kang Chang; Chih-Cheng Hsu; Shang-Jyh Hwang; Pei-Chun Chen; Chiu-Chin Huang; Tsai-Chung Li; Fung-Chang Sung
Journal:  Medicine (Baltimore)       Date:  2012-05       Impact factor: 1.889

7.  Comparison of cost-utility between automated peritoneal dialysis and continuous ambulatory peritoneal dialysis.

Authors:  Laura Cortés-Sanabria; Carlos A Paredes-Ceseña; Rebeca M Herrera-Llamas; Yolanda Cruz-Bueno; Herman Soto-Molina; Leonardo Pazarín; Margarita Cortés; Héctor R Martínez-Ramírez
Journal:  Arch Med Res       Date:  2013-11-08       Impact factor: 2.235

8.  Comparison of Value Set Based on DCE and/or TTO Data: Scoring for EQ-5D-5L Health States in Japan.

Authors:  Takeru Shiroiwa; Shunya Ikeda; Shinichi Noto; Ataru Igarashi; Takashi Fukuda; Shinya Saito; Kojiro Shimozuma
Journal:  Value Health       Date:  2016-04-26       Impact factor: 5.725

9.  Lifetime costs for peritoneal dialysis and hemodialysis in patients in Taiwan.

Authors:  Tze-Wah Kao; Yu-Yin Chang; Pau-Chung Chen; Chih-Cheng Hsu; Yu-Kang Chang; Yu-Hung Chang; Lukas Jyuhn-Hsiarn Lee; Kwan-Dun Wu; Tun-Jun Tsai; Jung-Der Wang
Journal:  Perit Dial Int       Date:  2013-05-01       Impact factor: 1.756

10.  Automated and continuous ambulatory peritoneal dialysis have similar outcomes.

Authors:  S V Badve; C M Hawley; S P McDonald; D W Mudge; J B Rosman; F G Brown; D W Johnson
Journal:  Kidney Int       Date:  2007-11-28       Impact factor: 10.612

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  3 in total

1.  Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis.

Authors:  Miriam Brazzelli; Lorna Aucott; Magaly Aceves-Martins; Clare Robertson; Elisabet Jacobsen; Mari Imamura; Amudha Poobalan; Paul Manson; Graham Scotland; Callum Kaye; Simon Sawhney; Dwayne Boyers
Journal:  Health Technol Assess       Date:  2022-01       Impact factor: 4.106

2.  Safety, Effectiveness, and Manipulability of Peritoneal Dialysis Machines Made in China: A Randomized, Crossover, Multicenter Clinical Study.

Authors:  Xue-Ying Cao; Ya-Ni He; Jian-Hui Zhou; Shi-Ren Sun; Li-Ning Miao; Wen Chen; Jing-Ai Fang; Ming Wang; Nian-Song Wang; Hong-Li Lin; Jian Liu; Zhao-Hui Ni; Wen-Hu Liu; Yu Na; Jiu-Yang Zhao; Zhi-Yong Guo; Hong-Guang Zheng; Wei Shi; Geng-Ru Jiang; Guang-Yan Cai; Xiang-Mei Chen
Journal:  Chin Med J (Engl)       Date:  2018-12-05       Impact factor: 2.628

Review 3.  APD or CAPD: one glove does not fit all.

Authors:  Athanasios Roumeliotis; Stefanos Roumeliotis; Konstantinos Leivaditis; Marios Salmas; Theodoros Eleftheriadis; Vassilios Liakopoulos
Journal:  Int Urol Nephrol       Date:  2020-10-13       Impact factor: 2.370

  3 in total

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