Literature DB >> 33677544

Patient-reported factors influencing the choice of their kidney replacement treatment modality.

Rianne W de Jong1, Vianda S Stel1, Axel Rahmel2, Mark Murphy3, Raymond C Vanholder4,5, Ziad A Massy6,7, Kitty J Jager1.   

Abstract

BACKGROUND: Access to various kidney replacement therapy (KRT) modalities for patients with end-stage kidney disease differs substantially within Europe.
METHODS: European adults on KRT filled out an online or paper-based survey about factors influencing and experiences with modality choice (e.g. information provision, decision-making and reasons for choice) between November 2017 and January 2019. We compared countries with low, middle and high gross domestic product (GDP).
RESULTS: In total, 7820 patients [mean age 59 years, 56% male, 63% on centre haemodialysis (CHD)] from 38 countries participated. Twenty-five percent had received no information on the different modalities, and only 23% received information >12 months before KRT initiation. Patients were not informed about home haemodialysis (HHD) (42%) and comprehensive conservative management (33%). Besides nephrologists, nurses more frequently provided information in high-GDP countries, whereas physicians other than nephrologists did so in low-GDP countries. Patients from low-GDP countries reported later information provision, less information about other modalities than CHD and lower satisfaction with information. The majority of modality decisions were made involving both patient and nephrologist. Patients reported subjective (e.g. quality of life and fears) and objective reasons (e.g. costs and availability of treatments) for modality choice. Patients had good experiences with all modalities, but experiences were better for HHD and kidney transplantation and in middle- and high-GDP countries.
CONCLUSION: Our results suggest European differences in patient-reported factors influencing KRT modality choice, possibly caused by disparities in availability of KRT modalities, different healthcare systems and varying patient preferences. Availability of home dialysis and kidney transplantation should be optimized.
© The Author(s) 2021. Published by Oxford University Press on behalf of the ERA.

Entities:  

Keywords:  ESRD; chronic haemodialysis; dialysis; kidney transplantation; peritoneal dialysis

Mesh:

Year:  2022        PMID: 33677544      PMCID: PMC8875472          DOI: 10.1093/ndt/gfab059

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


KEY LEARNING POINTS

What is already known about this subject? access to the various treatments for patients with end-stage kidney disease (ESKD) differs substantially in Europe, suggesting that patients may not receive the most preferable treatments with respect to clinical outcomes and quality of life; patients’ opinions on and experiences with kidney replacement therapy (KRT) modality choice are essential to improve access to preferable treatments for individuals with ESKD; and so far, most studies on patients’ opinions about factors influencing modality choice have been performed in higher income countries. Moreover, patients were rarely questioned about objective reasons [e.g. acute start or (un)availability of treatments] for modality choice. What this study adds? according to patients, timing and content of information provision about KRT modalities and comprehensive conservative management differed across Europe and seemed to be less optimal in low-gross domestic product (GDP) countries. Usually, both patient and nephrologist were involved in treatment modality choice; patients reported objective and subjective reasons for modality choice. Some reasons were more often selected by patients from middle- and high-GDP countries (e.g. work or study, social life) and others by patients from low-GDP countries (e.g. out of pocket costs, limited availability of treatments other than centre haemodialysis); and most patients were satisfied with information provision, decision-making and the treatment they received, but patients from low-GDP countries tended to be less satisfied. What impact this may have on practice or policy? the substantial variation in patient-reported factors influencing modality choice is partially caused by limited availability of home dialysis and kidney transplantation in several countries. The availability of these treatments should be optimized, accompanied by education, policy measures and funding; and patient preferences for treatment, which may be influenced by information provision and method of decision-making, might differ between countries. Discussing the preferences with individual patients may help nephrologists to personalize the process of KRT modality choice.

INTRODUCTION

Access to the various treatments for patients with end-stage kidney disease (ESKD) differs substantially in Europe [1-3]. Of the available kidney replacement therapy (KRT) modalities, kidney transplantation (KTx) offers the best survival and quality of life against the lowest costs [4-7]. However, since the demand for KTx exceeds supply and not all patients are suitable to receive a KTx, many patients depend on dialysis treatment. Home-based dialysis treatments [home haemodialysis (HHD) and peritoneal dialysis (PD)] may offer a better quality of life and seem to be associated with similar clinical outcomes as centre haemodialysis (CHD) [6, 8–10]. Nevertheless, the majority of European dialysis patients are treated with CHD [1]. It therefore seems that the most preferable KRT modalities may not be accessible for all patients. Patients’ opinion on and experiences with KRT modality choice are essential to improve access to preferable treatments for individuals with ESKD. Several studies have questioned patients with ESKD on factors influencing modality choice, such as information provision [11-14] and involvement in decision-making [11, 14–16]. In other studies, patients were surveyed on reasons for their modality choice, e.g. personal values [15], treatment features [14, 17, 18] and consequences for daily life [14, 17, 18]. In addition, researchers asked patients about their satisfaction with information provision [11, 12, 16] and decision-making [16] or experience with treatments [12]. However, most of these studies [12-18] were performed in single, higher-income countries (e.g. Australia and the USA), whereas macro-economic factors, such as gross domestic product (GDP), may substantially influence treatment availability [3, 19, 20], which in turn may affect patients’ choice. Moreover, previous studies mainly included subjective reasons (e.g. personal preferences or fears), whereas patients were rarely questioned about objective reasons (e.g. acute start or availability of treatments) influencing modality choice. We therefore surveyed a large number of European adults with ESKD on dialysis or living with a functioning KTx on factors influencing their KRT modality choice (i.e. information provision, decision-making and general and treatment-specific reasons), as well as on their experience with treatments. We compared opinions and experiences from patients living in lower, middle and higher income countries in Europe.

MATERIALS AND METHODS

Development and translation

We designed the Effect of Differing Kidney Disease Treatment Modalities and Organ Donation and Transplantation Practices on Health Expenditure and Patient Outcomes (EDITH) kidney patient survey in English using existing literature [11-18] and input from a kidney patients’ advocate. Seven patients and two nephrologists in training provided feedback on draft versions, and we modified the survey accordingly. The survey was part of the EDITH project [21]. For each language, two native speakers with a medical background (e.g. medical doctor, nurse or medical student) voluntarily translated the survey into their native language. Translators were asked to translate as literally as possible, but were encouraged to use language-specific and patient-friendly terms. The final survey was available online in LimeSurvey [22] in 29 languages and on paper in 31 languages. The English version of the survey, detailed methods using the CHERRIES (Checklist for Reporting Results of Internet E-Surveys) checklist [23] and an overview of all available languages are available as Supplementary material.

Ethical aspects

The Medical Ethics Committee of the Amsterdam University Medical Centers—location Academic Medical Center judged that a comprehensive evaluation was not required since this study was not subject to the Dutch Medical Research Involving Human Subjects Act (W17 291#17.343). If deemed necessary by local hospitals, nephrologists obtained approval from their local ethics committee. Participation in this survey was voluntary.

Data collection

Adults with ESKD treated by any form of dialysis or KTx and living in Europe were eligible to participate in this survey from November 2017 to January 2019. The survey was distributed and promoted by local and national kidney patient associations, the European Kidney Patients’ Federation (EKPF), the European Renal Association – European Dialysis and Transplantation Association (ERA-EDTA), national societies of nephrology and by individual nephrologists and their colleagues.

Data processing and statistical analysis

In the analyses, we included respondents from European countries, who had started KRT above the age of 18 years and reported to have received at least one KRT modality. Data from paper surveys were entered manually into LimeSurvey and were subject to the same value limits and logic as responses from online surveys. Duplicate responses on paper surveys were detected with IBM SPSS Statistics 26.0 [24] ‘Duplicate’ function using combinations of variables. Potential duplicates were manually checked and removed if necessary. Results are presented for all respondents together and by countries’ income status. We categorized countries into three income groups by using tertiles based on GDP Power Purchasing Parity (further indicated as GDP) 2016 data from the World Bank [25] (Supplementary data, Table S1). Note that we did not use the World Bank income classification itself [26] as this would result in three groups of very unequal size. We compared sex, age and GDP distribution of our sample with those of prevalent patients in the ERA-EDTA Registry in 2017. Data of individual countries cannot be shared publicly due to the privacy of individuals that participated in the study. We tested for differences between the GDP tertiles using Chi-square tests for categorical variables and Kruskall–Wallis tests for continuous variables. P-values <0.01 were considered statistically significant. Statistical analyses were performed with IBM SPSS Statistics 26.0 [24] and SAS software 9.4 [27].

RESULTS

In total, 7820 of 12 014 respondents from 38 European countries were included in the analysis (Table 1; Supplementary data, Figures S1 and S2, Table S1). Respondents were excluded because of missing information on country (n = 3311), treatment (n = 134), KRT initiation before 18 years (n = 386), duplicates (n = 186) or because respondents were not living in Europe (n = 177). Of the respondents with missing information on country, only 27% completed >5 questions and 10% completed >10 questions, which did not allow comparison of their characteristics with those who responded appropriately.
Table 1.

Demographic and disease-related characteristics of respondents per GDP tertile

All respondentsLower GDP tertileaMiddle GDP tertileaHigher GDP tertileaP-valueb
n = 7820 n = 3399 n = 2060 n = 2361
Male sex (%)55.753.856.757.70.009
Age, mean (SD), years59.2 (14.0)58.7 (14.3)58.0 (13.6)60.9 (13.8)<0.001
Marital status, % married60.762.158.260.80.018
Educational level, % with vocational or higher education59.252.757.270.0<0.001
Employed and working, % of patients ≤65 years36.524.341.546.6<0.001
Duration of KRT, mean (SD), years8.9 (8.2)7.4 (6.4)10.1 (9.2)9.9 (9.2)<0.001
Current treatment, %<0.001
 CHD62.582.955.339.5
 HHD2.20.50.95.9
 PD6.02.27.99.8
 LTX8.74.66.516.4
 DTX20.69.829.528.3
First treatment (%)<0.001
 CHD77.690.575.061.7
 HHD1.00.31.21.7
 PD16.16.718.527.5
 LTX3.41.62.66.5
 DTX1.90.92.72.7
On the kidney transplant waitlist, % of current dialysis patients22.013.734.927.4<0.001
Reason for not being on the kidney transplant waitlist, %<0.001
 Medical reasons32.030.035.334.7
 Will receive kidney from living donor2.92.24.03.9
 Will be on the waiting list later on17.613.523.024.1
 Do not want a kidney transplant21.421.619.522.5
 Cannot afford a kidney transplant4.96.84.00.5
 My hospital does not offer kidney transplantation5.97.32.45.4
 Reason unknown15.218.711.78.8
Self-reported diseases, %
 Diabetes mellitus27.832.723.225.7<0.001
 Polycystic kidney disease26.829.726.923.2<0.001
 Glomerulonephritis25.037.921.111.8<0.001
 Malignancy5.94.86.76.50.033
Received help with filling out survey, %23.836.518.710.0<0.001

For the categorization of countries per GDP category, see Supplementary data, Figure S2.

P-values calculated with Chi-square tests and Kruskall–Wallis tests to compare GDP tertiles on categorical and continuous outcomes.

LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

Demographic and disease-related characteristics of respondents per GDP tertile For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests and Kruskall–Wallis tests to compare GDP tertiles on categorical and continuous outcomes. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

Demographic and disease-related characteristics

The mean age of respondents was 59.2 years, and 55.7% were male (Table 1). About 43.5% of respondents lived in a lower GDP tertile country (low-GDP), 26.3% in a middle GDP tertile country (middle-GDP) and 30.2% in a higher GDP tertile country (high-GDP) (Supplementary data, Figure S2). Sex and age distribution matched fairly with those of prevalent patients from the same countries in the ERA-EDTA Registry, but patients from middle-GDP countries were underrepresented (Supplementary data, Table S2). The majority of respondents were married and higher educated, and approximately one-third of the respondents ≤65 years of age were employed. At the time of survey completion, the mean duration of KRT was 8.9 years and two-thirds of the respondents received CHD, 2.2% HHD and 6.0% PD, whereas 29.3% lived with a KTx. Twenty-two percent of the dialysis patients were on the waiting list for KTx, and medical reasons were the most frequently reported reason for not being on the waiting list (32.0%). One-quarter of respondents reported to suffer from diabetes mellitus (27.8%), whereas only 5.9% declared having a malignancy. Almost one-quarter of respondents received help with filling out the survey. Respondents from high-GDP countries were slightly older, more often men, higher educated and more often employed compared with respondents from middle- and low-GDP countries (P < 0.01). Most respondents from low-GDP countries received CHD, whereas the proportion of respondents receiving PD or HHD or living with a KTx was higher in middle- and/or high-GDP countries (P < 0.001). The longest mean duration of KRT and highest percentage of dialysis patients on the KTx waiting list were found in middle-GDP countries, followed by high-GDP and low-GDP countries (P < 0.001). Self-reported prevalence of diabetes mellitus was higher in low-GDP countries (P < 0.001). The proportion of respondents receiving help with filling out the survey decreased with increasing GDP (P < 0.001).

Information provision

About a quarter of the respondents received information on KRT modalities >12 months before KRT initiation, whereas another quarter reported not to have received any information before KRT initiation (Table 2). Virtually all respondents received information about CHD, but a substantial proportion was not informed about HHD (42.1%) and comprehensive conservative management (33.0%). The most common sources of information were nephrologists (92.1%), nurses (38.1%) and brochures/booklets (26.7%). Just over half of the respondents who reported to have received information were satisfied or very satisfied with the information provided about all modalities. Respondents were most satisfied with the information on CHD and deceased donor KTx and were least satisfied with information on HHD (Figure 1).
Table 2.

Information provision and decision-making per GDP tertile

All respondentsLower GDP tertileaMiddle GDP tertileaHigher GDP tertileaP-valueb
Timing of information before KRT initiation, %<0.001
 No information received25.234.121.116.6
 <1 month17.819.218.415.3
 1–3 months17.215.418.218.9
 4–12 months16.411.916.722.3
 >12 months23.419.425.627.0
No information received about, %
 CHD7.410.04.76.2<0.001
 HHD42.151.748.426.5<0.001
 PD24.534.721.816.0<0.001
 LTX22.729.020.217.9<0.001
 DTX19.828.712.616.6<0.001
 CCM33.033.828.536.2<0.001
Information source, %
 Nephrologist92.189.795.292.9<0.001
 Doctor other than nephrologist19.521.419.716.5<0.001
 Nurse38.127.232.358.8<0.001
 Other kidney patients24.524.227.122.50.002
 Brochure/booklet26.718.724.240.4<0.001
 Website/Internet21.216.723.825.1<0.001
 Kidney patients' federation14.96.418.823.6<0.001
Persons influencing decision making, %
 Husband/wife or partner39.929.539.355.2<0.001
 Other family members30.230.030.430.30.940
 Friends5.34.75.46.10.074
 Other kidney patients10.28.413.210.0<0.001
 My doctor81.382.078.582.70.002
 My nurse17.27.014.733.9<0.001
 Employer/supervisor at work0.80.20.71.6<0.001
 Another person1.41.21.51.70.389
 Nobody0.30.30.30.10.411

For the categorization of countries per GDP category, see Supplementary data, Figure S2.

P-values calculated with Chi-square tests to compare GDP tertiles on categorical outcomes.

LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation; CCM, comprehensive conservative management.

FIGURE 1

Satisfaction with information provision about treatments. For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation; CCM, comprehensive conservative management.

Satisfaction with information provision about treatments. For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation; CCM, comprehensive conservative management. Information provision and decision-making per GDP tertile For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests to compare GDP tertiles on categorical outcomes. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation; CCM, comprehensive conservative management. Time between information provision and KRT initiation was longer in high-GDP countries than in low- and middle-GDP countries (P < 0.001) (Table 2). In low-GDP countries, a higher percentage of respondents stated that they had not received any information about HHD, PD, or living or deceased donor KTx (P < 0.001). We found lower percentages of respondents who reported no information about particular modalities if we restricted the analyses to patients aged ≤60 years at KRT initiation, those without diabetes mellitus and in countries where the treatment was available (HHD) or more prevalent (PD, living or deceased donor KTx) as reported by data from the ERA-EDTA Registry [1] (Supplementary data, Table S3). However, the proportion of uninformed patients in most strata remained significantly larger in low-GDP countries (P < 0.001), compared with the countries with a higher GDP. The vast majority of respondents received their information from nephrologists, but in high-GDP countries, the proportion of respondents who obtained information from nurses and brochures/booklets was larger (P < 0.001). Respondents from middle- and high-GDP countries were slightly more satisfied with the information provision than those from low-GDP countries (P < 0.001) (Figure 1).

Decision-making

Figure 2 shows the results of method of decision-making and the satisfaction about this by respondents who had received only one form of KRT so far. For each treatment, the majority of decisions were made involving both patient and nephrologist (CHD 63.4%, HHD and PD 73.1%, pre-emptive KTx 83.4%). A smaller proportion of respondents reported that they had left the decision to their doctor (CHD 17.9%, HHD and PD 6.0%, pre-emptive KTx 5.7%) or that the doctor decided alone (CHD 9.1%, HHD and PD 1.5%, pre-emptive KTx 0.9%). Regardless of their treatment, most respondents were satisfied with the way decisions were made (>80% good or very good), but pre-emptive KTx recipients were most satisfied (good or very good: CHD 81.2%; HHD and PD 87.2%; pre-emptive KTx 91.1%). Virtually all respondents mentioned that other people such as their doctors (81.3%), partners (39.9%), other family members (30.2%) or nurses (17.2%) had affected their treatment choice (Table 2).
FIGURE 2

Decision-making for respondents undergoing only one treatment. ‘Home’ includes respondents on home haemodialysis and peritoneal-dialysis. P-values are calculated with Chi-square tests.

Decision-making for respondents undergoing only one treatment. ‘Home’ includes respondents on home haemodialysis and peritoneal-dialysis. P-values are calculated with Chi-square tests. Similar trends in the method of decision-making and the satisfaction about this were observed across the GDP tertiles (Supplementary data, Table S4). In high-GDP countries, a larger proportion of respondents reported that their partners and/or nurses had influenced their choice (P < 0.001) (Table 2).

Factors influencing treatment modality choice

According to the respondents, the three most important factors affecting treatment modality choice were ‘quality of life’ (97.3% reported ‘important’ or ‘very important’), ‘survival’ (96.6%) and ‘safety’ (92.0%) (Figure 3). The three least important factors included ‘company of other patients’ (41.8% reported this as ‘important’ or ‘very important’), ‘costs’ (42.0%) and ‘body appearance’ (50.7%). The three most important factors were similar across the GDP tertiles. Social life and work or study were more important for respondents from high-GDP countries, whereas costs were more often reported as important by those from low-GDP countries (Supplementary data, Table S5).
FIGURE 3

Factors influencing treatment modality choice.

Factors influencing treatment modality choice.

Treatment-specific reasons

Respondents selected a maximum of five main reasons why they did or did not receive a particular KRT modality (Figure 4 and Supplementary data, Table S6). Reasons for receiving HHD or PD or a KTx from a living or deceased donor partly overlapped. Quality of life played an important role in the choice of each of these modalities, whereas limited availability, fears and concerns, age and health status played an important role in not receiving a specific treatment.
FIGURE 4

Top five treatment-specific reasons. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

Top five treatment-specific reasons. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

Experience with treatments

More than 80% of respondents had a good or very good experience with the treatment(s) they (had) received (Figure 5). Respondents from middle- and high-GDP countries reported more frequently very good experience with CHD and deceased donor KTx than those from low-GDP countries (P < 0.001).
FIGURE 5

Experience with treatments. For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

Experience with treatments. For the categorization of countries per GDP category, see Supplementary data, Figure S2. P-values calculated with Chi-square tests. LTX, living donor kidney transplantation; DTX, deceased donor kidney transplantation.

DISCUSSION

We surveyed a large group of adults with ESKD on KRT from 38 European countries about factors influencing their treatment modality choice. We found that timing and content of information provision differed across Europe and seemed to be less optimal in low-GDP countries. Treatment modality choice was often made involving both patient and nephrologist. When patients reported both objective and subjective reasons for modality choice, some reasons were more often selected by patients in middle- and high-GDP countries (e.g. work or study, social life) and others by patients in low-GDP countries (e.g. out of pocket costs, limited availability of treatments other than CHD). Most patients were satisfied with information provision, decision-making and the treatment they received, but patients in low-GDP countries tended to be less satisfied. Limited or absent information provision was in particular prevalent in low-GDP countries and could be related to limited availability of specific KRT modalities [1, 3]. Treatment availability on a national level does not always imply availability in all regions due to, for example, long travel distances, limited capacity or financial barriers. Absent information provision about home dialysis or KTx also existed in countries with better availability, which may be at least partly due to contraindications for particular treatments, such as older age or the presence of comorbidities [13, 14, 28]. Objective data on the health status and living circumstances are needed to investigate the influence of these factors on information provision and treatment modality choice. Our results show that it is most often the nephrologist who gives information about KRT modalities, irrespective of a country’s GDP. Besides, nurses were more often involved in information provision in high-GDP countries, whereas patients from low-GDP countries reported more involvement of other physicians than nephrologists in information provision. Nephrologists, other physicians and nurses may provide information in a different way, with respect to content, comprehensibility and available time, which could influence patients’ choice. However, patients perceived information from their doctor or nurse as equally helpful [11]. Although patients described several shortcomings in information provision and several were not even involved in the decision-making process, their overall satisfaction about the received information and decision-making was high. Please note that patients who were not informed about particular treatments could not rate the quality of the information. Future research might examine patients’ opinions about several aspects of information provision in more detail (e.g. timing, comprehensibility and usefulness) and in specific patient subgroups. We realize that the patients’ opinions may not always correspond to reality and patients may, for example, not remember exactly the timing of information provision or may not recognize or understand the information. Nevertheless, we believe that quality of information prevails on satisfaction and that the findings from our study and other studies [11, 12, 16, 29] suggest the need to improve information provision. Other studies show substantial variation in patients’ preferences about their own role and the involvement of others (e.g. nephrologist, partner or children) in decision-making [28, 30]. There is also considerable variation in patients’ interest in outcomes (e.g. survival, clinical variables, symptoms, maintaining lifestyle) of a particular KRT modality [31, 32]. Healthcare professionals may explore these preferences beforehand in order to personalize information provision and decision-making. In our study, quality of life was the most important factor in the choice of KRT modality for patients in all GDP categories, and it was also frequently mentioned as a treatment-specific reason. Since the meaning of quality of life may differ from patient to patient, as it depends on personal circumstances such as age, finances and living situation, it is important that healthcare professionals discuss quality of life and its meaning with individual patients [33]. Many respondents selected fears or concerns as reasons for not receiving a particular treatment. Consistent with literature, they selected fear of self-needling, dislike of abdominal catheter, fear of peritonitis and concerns about no supervision as reasons against home dialysis [14, 17, 18, 34]. Furthermore, several patients reported hesitation to ask potential donors and concerns about donors’ health as reasons for not receiving living donor KTx, whereas fears of transplant surgery or rejection were mentioned by a smaller group [35, 36]. Some reasons patients gave for being against home dialysis or KTx may be based on incorrect information leading to misperceptions (‘patients should not dialyze without supervision’ [34] or ‘a kidney transplant is a risk of life and death’ [37]). Providing adequate education to patients and their families may help to overcome these barriers [38, 39]. Besides subjective reasons, patients frequently mentioned objective reasons why they did or did not receive a treatment. Acute KRT initiation was a main reason for almost half of respondents who (had) received CHD. Half of the patients starting dialysis experience an unplanned or acute start [40-42] that may hinder adequate training and preparation for home dialysis or pre-emptive KTx. However, patients facing an acute start of KRT may still be able to receive home dialysis or KTx—even if only at a later stage—if they receive adequate education and support [43]. Another frequently selected reason for receiving CHD was that ‘no other treatments were possible’. This could be due to the limited availability of home dialysis or KTx in several countries [3], to inadequate information provision about these treatments or to patient-related factors. For example, patients may have contra-indications against treatments other than CHD or their living situation may be unsuitable to perform home dialysis [15, 17, 34, 44]. Half of the respondents from low-GDP countries indicated that costs were important when considering treatment modality. In another survey, one-fifth of the patients with ESKD mentioned that costs hindered them receiving the optimal treatment, but results from patients from lower- and higher-income countries were not described separately [11]. Financial barriers do not necessarily correlate to GDP. For example, patients with ESKD from several higher income countries have significant out-of-pocket costs [45-47]. Moreover, dialysis and/or KTx were excluded from public funding in some countries, patient co-payment for dialysis or KTx was reported in both Western and Eastern European countries, and funding for dialysis or transplant medication was unavailable in several European countries across all GDP categories [3, 48]. The amount of reimbursement of KRT varies largely in Europe, as found in the EDITH project [21] and by others [49], but the amount of out-of-pocket costs and the consequences for patients (such as poverty, non-adherence or declining KTx) should be investigated as well in order to create a complete overview of costs of KRT. Poor health and older age were two main reasons for not receiving KTx. Although age alone is not considered a contraindication in most kidney transplant guidelines [50, 51], a large variability exists in the percentage of nephrologists who would recommend KTx for patients aged >60 years [52]. However, research has shown that certain older patients may also experience a survival advantage with KTx over dialysis, and the survival after receiving a KTx, including in patients >75 years of age, has increased over time [53, 54]. Increased awareness about these benefits of KTx in older patients may influence attitudes towards KTx of both professionals and patients. Consistent with studies from Australia and the USA, patients receiving home dialysis and those living with a functioning KTx were more satisfied with their treatment than those receiving CHD [12, 29]. In addition, patients from middle- or high-GDP countries were more satisfied than their counterparts from low-GDP countries. This could be related to poorer information provision or decision-making experiences, since these two features have been reported as risk factors for lower treatment satisfaction [12]. Furthermore, poor treatment experience may be related to financial and social consequences of that treatment, including high out-of-pocket costs, becoming unemployed or long travel time to the hospital. A main strength is that the EDITH kidney patient survey is one of the largest kidney patient surveys to date, including more than 7800 patients on KRT from 38 European countries, all surveyed in their own language. We pursued inclusion of older and sicker patients by offering paper surveys and assistance when filling out the survey. Furthermore, we are among the first to compare opinions of patients from lower-, middle- and higher-income countries in Europe. This study also has limitations. Despite careful translation by native speakers with a medical background and patients’ feedback on survey comprehensibility, differences in interpretation of questions and answers may have occurred. Moreover, the respondents represent a fraction of all European patients on KRT, and our results may not be representative for the overall KRT population. To maximize the group of potential respondents and respect the anonymity of respondents in the context of the General Data Protection Regulation, we did not directly contact potential respondents. Therefore, we do not know which persons received the survey and whether they responded or not. Consequently, we were not able to calculate a response rate or compare the characteristics of responders with non-responders. Finally, respondents’ opinions about information provision, decision-making or factors influencing modality choice may have changed over time (recall bias), and their opinion may have been influenced by later experiences with other treatments. However, we tried to limit the influence of later experiences by selecting respondents who received only one form of KRT when investigating method of decision-making and satisfaction.

CONCLUSION

The results of our study including over 7800 European patients with ESKD suggest substantial variation in patient-reported factors influencing the choice of KRT modality. This variation is partially caused by limited availability of home dialysis and KTx in several countries. In addition, disparities in healthcare systems such as medical workforce, funding and health insurance system, may affect patients’ access to treatments for ESKD. Moreover, patient preferences, which may be influenced by information provision and method of decision-making, might differ between countries. The availability of home dialysis and KTx should be optimized, accompanied by education, policy measures and funding, so that all European patients with ESKD can choose the form of KRT that is most suitable for them.

SUPPLEMENTARY DATA

Supplementary data are available at ndt online. Click here for additional data file.
  45 in total

1.  Differences in quality of life across renal replacement therapies: a meta-analytic comparison.

Authors:  J I Cameron; C Whiteside; J Katz; G M Devins
Journal:  Am J Kidney Dis       Date:  2000-04       Impact factor: 8.860

2.  Patient views about treatment of stage 5 CKD: a qualitative analysis of semistructured interviews.

Authors:  Rachael L Morton; Jeannie Devitt; Kirsten Howard; Kate Anderson; Paul Snelling; Alan Cass
Journal:  Am J Kidney Dis       Date:  2010-02-08       Impact factor: 8.860

3.  Patient and Caregiver Priorities for Outcomes in Hemodialysis: An International Nominal Group Technique Study.

Authors:  Rachel Urquhart-Secord; Jonathan C Craig; Brenda Hemmelgarn; Helen Tam-Tham; Braden Manns; Martin Howell; Kevan R Polkinghorne; Peter G Kerr; David C Harris; Stephanie Thompson; Kara Schick-Makaroff; David C Wheeler; Wim van Biesen; Wolfgang C Winkelmayer; David W Johnson; Kirsten Howard; Nicole Evangelidis; Allison Tong
Journal:  Am J Kidney Dis       Date:  2016-03-08       Impact factor: 8.860

4.  Satisfaction with renal replacement therapy and education: the American Association of Kidney Patients survey.

Authors:  Stephen Z Fadem; David R Walker; Greg Abbott; Amy L Friedman; Richard Goldman; Sue Sexton; Kim Buettner; Kris Robinson; Thomas G Peters
Journal:  Clin J Am Soc Nephrol       Date:  2011-02-17       Impact factor: 8.237

5.  Medical decision-making and information needs in end-stage renal disease patients.

Authors:  Angela Orsino; Jill I Cameron; Maja Seidl; David Mendelssohn; Donna E Stewart
Journal:  Gen Hosp Psychiatry       Date:  2003 Sep-Oct       Impact factor: 3.238

6.  Renal replacement Therapy and Barriers to choice: using a Mixed Methods approach to explore the Patient's Perspective.

Authors:  Caroline Jennette; Vimal Derebail; Judy Baldwin; Sandra Cameron
Journal:  J Nephrol Soc Work       Date:  2009

7.  Out-of-pocket spending and medication adherence among dialysis patients in twelve countries.

Authors:  Richard A Hirth; Scott L Greer; Justin M Albert; Eric W Young; John D Piette
Journal:  Health Aff (Millwood)       Date:  2008 Jan-Feb       Impact factor: 6.301

8.  Status of care for end stage kidney disease in countries and regions worldwide: international cross sectional survey.

Authors:  Aminu K Bello; Adeera Levin; Meaghan Lunney; Mohamed A Osman; Feng Ye; Gloria E Ashuntantang; Ezequiel Bellorin-Font; Mohammed Benghanem Gharbi; Sara N Davison; Mohammad Ghnaimat; Paul Harden; Htay Htay; Vivekanand Jha; Kamyar Kalantar-Zadeh; Peter G Kerr; Scott Klarenbach; Csaba P Kovesdy; Valerie A Luyckx; Brendon L Neuen; Donal O'Donoghue; Shahrzad Ossareh; Jeffrey Perl; Harun Ur Rashid; Eric Rondeau; Emily See; Syed Saad; Laura Sola; Irma Tchokhonelidze; Vladimir Tesar; Kriang Tungsanga; Rumeyza Turan Kazancioglu; Angela Yee-Moon Wang; Natasha Wiebe; Chih-Wei Yang; Alexander Zemchenkov; Ming-Hui Zhao; Kitty J Jager; Fergus Caskey; Vlado Perkovic; Kailash K Jindal; Ikechi G Okpechi; Marcello Tonelli; John Feehally; David C Harris; David W Johnson
Journal:  BMJ       Date:  2019-10-31

9.  Global differences in dialysis modality mix: the role of patient characteristics, macroeconomics and renal service indicators.

Authors:  Moniek W M van de Luijtgaarden; Kitty J Jager; Vianda S Stel; Anneke Kramer; Ana Cusumano; Robert F Elliott; Claudia Geue; Alison M MacLeod; Benedicte Stengel; Adrian Covic; Fergus J Caskey
Journal:  Nephrol Dial Transplant       Date:  2013-03-29       Impact factor: 5.992

Review 10.  The views of patients and carers in treatment decision making for chronic kidney disease: systematic review and thematic synthesis of qualitative studies.

Authors:  R L Morton; A Tong; K Howard; P Snelling; A C Webster
Journal:  BMJ       Date:  2010-01-19
View more
  4 in total

Review 1.  Utilization of Peritoneal Dialysis in the United States: Progress in Tackling Obstacles to Expansion.

Authors:  Osama El Shamy
Journal:  Kidney360       Date:  2022-04-15

2.  Intervening to eliminate the centre-effect variation in home dialysis use: protocol for Inter-CEPt-a sequential mixed-methods study designing an intervention bundle.

Authors:  Maatla Tshimologo; Kerry Allen; David Coyle; Sarah Damery; Lisa Dikomitis; James Fotheringham; Harry Hill; Mark Lambie; Louise Phillips-Darby; Ivonne Solis-Trapala; Iestyn Williams; Simon J Davies
Journal:  BMJ Open       Date:  2022-06-08       Impact factor: 3.006

3.  Work status and work ability of patients receiving kidney replacement therapy: results from a European survey.

Authors:  Rianne W de Jong; Edwin J Boezeman; Nicholas C Chesnaye; Frederike J Bemelman; Ziad A Massy; Kitty J Jager; Vianda S Stel; Angela G E M de Boer
Journal:  Nephrol Dial Transplant       Date:  2022-09-22       Impact factor: 7.186

4.  Design of therapeutic education workshops for home haemodialysis in a patient-centered chronic kidney diseases research: a qualitative study.

Authors:  Abdallah Guerraoui; Roula Galland; Flora Belkahla-Delabruyere; Odile Didier; Veronique Berger; Pierre Sauvajon; Christian Serve; Jean Charles Zuriaga; Fréderic Riquier; Agnes Caillette-Beaudoin
Journal:  BMC Nephrol       Date:  2022-02-02       Impact factor: 2.388

  4 in total

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