End-Stage Renal Disease Models in the Americas: Optimizing Resources to Achieve Better Health Outcomes

The Future of Kidney Care in Low- and Middle-Income Countries: Challenges, Triumphs, and Opportunities

CKD affects about 850 million people worldwide and is projected to be the fifth leading cause of death by 2040. Individuals from low- and middle-income countries (LMICs) bear the bulk of CKD. They face challenges including lack of awareness among the general population, as well as health care providers, unique risk factors such as genetic predispositions, infectious diseases, and environmental toxins, limited availability and affordability of diagnostic tests and medications, and limited access to KRTs. The inadequate health system infrastructure, human resources, and financing mechanisms to support comprehensive and integrated kidney care worsen the situation. Overcoming these challenges needs concerted efforts toward early detection, intervention, and multidisciplinary follow-up, policy, collaboration, advocacy, and financing. To achieve this, there is need for individual governments to include kidney health among the key health priorities and build capacity toward resilient health care systems. Integrating kidney care using the roadmaps of well-established management systems for other chronic diseases, such as HIV, has the potential to expedite the widespread adoption of kidney health. The aim of this article is to provide an overview of the current state and future prospects of kidney care in LMICs, highlighting the main challenges, ongoing efforts, and opportunities for improvement. We present case studies of exemplary efforts from three continents of the world with the highest densities of LMICs and propose potential strategies for a sustainable solution.

Factors affecting the quality of life for patients with end-stage renal disease on dialysis in KwaZulu-Natal province, South Africa: A descriptive survey

Background

End-stage renal disease (ESRD) is a world-wide public health problem that requires renal replacement therapy in the form of dialysis. Although dialysis prolongs the patients' lifespan, it is not necessarily associated with an improved quality of life (QoL).

Aim

To determine the factors affecting the QoL of patients with ESRD on dialysis.

Setting

The study was conducted in three public sector hospitals in the province of KwaZulu-Natal.

Methods

A convenience sample of 316 participants was used. The World Health Organization - QoL Biomedical Research and Education Foundation (WHOQOL-BREF) instrument was used and adapted to include economic factors. Data were analysed using descriptive and inferential statistics.

Results

Majority had poor QoL through economic (98.1%), psychological (94.6%), physical (70.3%), and social factors (55.1%). Factors affecting their QoL were influenced by the type of dialysis, and statistical significances were noted in psychological and social factors (p < 0.0001), with those on peritoneal dialysis being affected the most. Overall, majority of patients (91.7%, n = 288) had a score of less than 50, which indicated poor QoL.

Conclusion

Poor QoL is associated with increased risk of mortality and hospitalisation in patients with ESRD and is mainly influenced by a broad range of dimensions of life.

Contribution

In addressing challenges encountered by patients, study findings may influence the policymakers to intervene in view of all the dimensions of QoL, to prolong life.

Cost-effectiveness analysis of a strategy to delay progression to dialysis and death among chronic kidney disease patients in Lima, Peru

BACKGROUND

The Renal Health Program (RHP) was implemented in 2013 as a secondary prevention strategy to reduce the incidence of patients initiating dialysis and overall mortality. A previous study found that adherent patients have 58% protection against progression to dialysis compared to non-adherent. The main objective of the study was to estimate the lifetime economic and health consequences of the RHP intervention to determine its cost-effectiveness in comparison with usual care.

METHODS

We use a Markov model of three health stages to simulate disease progression among chronic kidney disease patients in Lima, Peru. The simulation time-horizon was 30 years to capture the lifetime cost and health consequences comparing the RHP to usual care. Costs were estimated from the payer perspective using institutional data. Health outcomes included years lived free of dialysis (YL) and quality adjusted life years (QALY). We conducted a probabilistic sensitivity analysis (PSA) to assess the robustness of our estimates against parameter uncertainty.

RESULTS

We found that the RHP was dominant-cost-saving and more effective-compared to usual care. The RHP was 783USD cheaper than the standard of care and created 0.04 additional QALYs, per person. The Incremental Cost-Effectiveness Ratio (ICER) showed a cost per QALY gained of $21,660USD. In the PSA the RHP was dominant in 996 out of 1000 evaluated scenarios.

CONCLUSIONS

The RHP was cheaper than the standard of care and more effective due to a reduction in the incidence of patients progressing to dialysis, which is a very expensive treatment and many times inaccessible. We aim these results to help in the decision-making process of scaling-up and investment of similar strategies in Peru. Our results help to increase the evidence in Latin America where there is a lack of information in the long-term consequences of clinical-management-based prevention strategies for CKD patients.

Perceived predictors of quality of life in patients with end-stage renal disease on dialysis

BACKGROUND

Reduced quality of life (QOL) is associated with shorter survival, and is more marked in patients with end-stage renal disease (ESRD). Predictors of health, which include policymaking, social factors, health services, individual behaviour, biology and genetics, have an impact on the QOL of patients with ESRD. Patients with ESRD in South Africa are cared for in public and private hospitals, with public health institutions characterised by several challenges.

OBJECTIVE

To explore and analyse the perceived predictors of QOL in patients with ESRD in the three district hospitals that provide renal services in KwaZulu-Natal.

METHODS

An exploratory, descriptive qualitative research approach based on grounded theory research design was used and three focus group discussions (FGDs) were conducted. The researcher recruited 18 participants, 6 in each focus group. Three phases of data analysis were followed: open coding, axial coding, and selective coding.

RESULTS

Predictors of QOL that emerged were the geographic location of the patients, accessibility of haemodialysis centres, patients' adaptation and acceptance of the condition, self-management, support by family members and caregivers and availability of adequately trained nurses.

CONCLUSION

Predictors of QOL in patients with ESRD are associated with an increased risk of morbidity and mortality resulting from dialysis. The broad range of dimensions of life is negatively affected and requires intervention by the renal team and policymakers to improve the QOL of patients.

Building optimal and sustainable kidney care in low resource settings: The role of healthcare systems

Healthcare systems in low-income and lower-middle income countries (LLMICs) face significant challenges in the provision of health services, for example, kidney care to the population. Although this is linked to several high-level factors such as poor infrastructure, socio-demographic and political factors, healthcare funding has often been cited as the major reason for the wide gap in availability, accessibility and quality of care between LLMICs and rich countries. With the steady rising incidence and prevalence of kidney diseases globally, as well as cost of care, LLMICs are likely to suffer more consequences of these increases than rich countries and may be unable to meet targets of universal health coverage (UHC) for kidney diseases. As health systems in LLMICs continue to adapt in finding ways to provide access to affordable kidney care, various empirical and evidence-based strategies can be applied to assist them. This review uses a framework for healthcare strengthening developed by the World Health Organization (WHO) to assess various challenges that health systems in LLMICs confront in providing optimal kidney care to their population. We also suggest ways to overcome these barriers and strengthen health systems to improve kidney care in LLMICs.

Cost-effectiveness analysis of renal replacement therapy strategies in Guangzhou city, southern China

OBJECTIVES

This study aims to assess the cost-effectiveness of three renal replacement therapy (RRT) modalities as well as proposed changes of scheduled policies in RRT composition in Guangzhou city.

METHODS

From a payer perspective, we designed Markov model-based cost-effectiveness analyses to compare the cost-effectiveness of three RRT modalities and four different scheduled policies to RRT modalities in Guangzhou over three time horizons (5, 10 and 15 years). The current situation (scenario 1: haemodialysis (HD), 73%; peritoneal dialysis (PD), 14%; kidney transplantation (TX), 13%) was compared with three different scenarios: an increased proportion of incident RRT patients on PD (scenario 2: HD, 47%; PD, 40%; TX, 13%); on TX (scenario 3: HD, 52%; PD, 14%; TX, 34%); on both PD and TX (Scenario 4: HD, 26%; PD, 40%; TX, 34%).

RESULTS

Over 5-year time horizon, HD was dominated by PD. At a willingness-to-pay (WTP) threshold of US$44 300, TX was cost-effective compared with PD with an incremental cost-effectiveness ratio of US$35 518 per quality-adjusted life year (QALY) gained. The scenario 2 held a dominant position over the scenario 1, with a net saving of US$ 5.92 million and an additional gain of 6.24 QALYs. The scenarios 3 and 4 were cost-effective compared with scenario 1 at a WTP threshold of US$44 300. The above results were consistent across the three time horizons.

CONCLUSIONS

TX is the most cost-effective RRT modality, followed in order by PD and HD. The strategy with an increased proportion of incident patients on PD and TX is cost-effective compared with the current practice pattern at the given WTP threshold. The planning for RRT service delivery should incorporate efforts to increase the utilisation of PD and TX in China.

Cost of Hemodialysis Treatment and Associated Factors Among End-Stage Renal Disease Patients at the Tertiary Hospitals of Addis Ababa City and Amhara Region, Ethiopia

Purpose

Hemodialysis is a renal replacement therapy for end-stage renal disease (ESRD) patients who consume substantial healthcare resources, which increases the economic burden. Plenty of factors affects the cost of hemodialysis treatment, particularly in resource-limited settings. Moreover, the demand for hemodialysis may decrease as the cost increases, but there is limited evidence in Ethiopia. Thus, this study aimed to estimate the cost of hemodialysis treatment among ESRD patients in the tertiary hospitals of Addis Ababa City and Amhara region, Ethiopia.

Patients and Methods

An institutional-based cross-sectional study was conducted among 172 ESRD patients undergoing hemodialysis treatment. A structured questionnaire and patients’ medical chart were used to estimate the costs, and the human capital approach was applied to calculate the indirect costs. A generalized linear model (GLM) was fitted after the modified park test to identify the associated factors. In the final GLM, a p-value of <0.05 and a 95% CI were used to declare the significant variables.

Results

The mean annual cost of hemodialysis treatment was 121,089.27ETB ($4466.59) ± 33,244.99 ($1226.29). The direct and indirect costs covered 77.0% and 23.0% of the total costs, respectively. Age (ex(b): 1.01, p-value <0.001), highest wealth status (ex(b): 1.09, p-value: 0.008), eight (ex(b): 1.27, p-value <0.001) and 12 visits/month (ex(b): 1.34, p-value <0.001), anemia (ex(b): 1.13, p-value <0.001), and comorbidity (ex(b): 1.09, p-value: 0.039) were the factors associated with the costs of hemodialysis treatment.

Conclusion

The annual cost of hemodialysis treatment among ESRD patients was high compared to the national per capita health expenditure, and two-thirds covered by the direct medical costs. Old age, high wealth status, more visits, anemia, and comorbidity were factors associated with the costs of hemodialysis. Therefore, the healthcare system must make a great effort for cost reduction and reduce the patients with kidney disease before they reach end-stages.