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BACKGROUND: Chronic kidney disease (CKD) is an important but insufficiently recognized public health problem. Unprecedented advances in delaying progression of CKD and reducing kidney failure and death have been made in recent years, with the addition of the sodium-glucose cotransporter 2 inhibitors and other newer medication to the established standard of care with inhibitors of the renin-angiotensin system. Despite knowledge of these effective therapies, their prescription and use remain suboptimal globally, and more specially in low resource settings. Many challenges contribute to this gap between knowledge and translation into clinical care, which is even wider in lower resource settings across the globe. Implementation of guideline-directed care is hampered by lack of disease awareness, late or missed diagnosis, clinical inertia, poor quality care, cost of therapy, systemic biases, and lack of patient empowerment. All of these are exacerbated by the social determinants of health and global inequities. SUMMARY: CKD is a highly manageable condition but requires equitable and sustainable access to quality care supported by health policies, health financing, patient and health care worker education, and affordability of medications and diagnostics. KEY MESSAGES: The gap between the knowledge and tools to treat CKD and the implementation of optimal quality kidney care should no longer be tolerated. Advocacy, research and action are required to improve equitable access to sustainable quality care for CKD everywhere.
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Saúde Global , Qualidade da Assistência à Saúde , Insuficiência Renal Crônica , Humanos , Insuficiência Renal Crônica/terapia , Qualidade da Assistência à Saúde/normas , Disparidades em Assistência à Saúde , Acessibilidade aos Serviços de Saúde/organização & administração , Acessibilidade aos Serviços de Saúde/normas , Equidade em SaúdeRESUMO
Introduction: Chronic kidney disease and as a consequence end-stage kidney disease (EKSD) is increasing globally. More and more people across the world are requiring hemodialysis (HD). The HD procedure produces a large quantity of biomedical waste. In addition, HD consumes a large quantity of water. In this study, we estimated the waste generated from our government-funded HD unit. Materials and methods: It is a prospective study that was carried out in the dialysis unit in the nephrology department over a period of 1 year. The daily dialysis waste generated by the unit was measured using a spring balance. The proportion of plastic and nonplastic waste was determined. The quantity of biomedical waste generated per person in 1 year was calculated. Water input to the dialysis unit was noted. Water consumption per dialysis was calculated. Liquid chemical waste consumed was determined. Electricity consumed by the unit was measured by the electricity meter. The cost of waste disposal was calculated. The cost of electricity consumption and water consumption was also calculated. Results: The approximate weight of waste disposables generated in one dialysis was 0.75 kg. Approximately each person generates 1.29 kg of waste per dialysis. Each dialysis required 125 L of reverse osmosis (RO) water and to generate 125 L of RO water 250 L of raw water was used. This happens as 125 L of water are rejected during the generation of 125 L of RO water. Thus, the net water consumption for each dialysis was 250 L. Chemical waste generated per dialysis includes 90 mL citric acid per dialysis and 130 mL bleach. Each dialysis consumes 3 kWh (three units) of electricity. The cost of electricity for each dialysis was 25.5 INR and the cost of water was 25 INR per dialysis. The cost of waste disposal for each dialysis bed was 6 INR. Discussion: Each dialysis patient produced 1.29 kg of waste per dialysis which was like other studies. Unlike other studies, the waste was not being reprocessed or recycled. Conclusion: Hemodialysis produces substantial biomedical waste. Proper waste disposal techniques and policies to promote reduction, reuse, and recycling will go a long way toward promoting green dialysis and reducing environmental as well as economic burdens. How to cite this article: Sahay M, Sahay RK, Seshadri B, et al. Assessment of Biomedical Waste Generation in Dialysis Units: A Prospective Observational Study-Is it Time for "Green Dialysis"? J Assoc Physicians India 2023;71(10):49-52.
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Eliminação de Resíduos de Serviços de Saúde , Diálise Renal , Diálise Renal/métodos , Estudos Prospectivos , Humanos , Eliminação de Resíduos de Serviços de Saúde/métodos , Resíduos de Serviços de Saúde , ÍndiaRESUMO
BACKGROUND: Peritoneal dialysis (PD) as a modality of kidney replacement therapy (KRT) is largely underutilized globally. We analyzed PD utilization, impact of economic status, projected growth and impact of state policy(s) on PD growth in South Asia and Southeast Asia (SA&SEA) region. METHODS: The National Nephrology Societies of the region responded to a questionnaire on KRT practices. The responses were based on the latest registry data, acceptable community-based studies and societal perceptions. The representative countries were divided into high income and higher-middle income (HI & HMI) and low income and lower-middle income (LI & LMI) groups. RESULTS: Data provided by 15 countries showed almost similar percentage of GDP as health expenditure (4%-7%). But there was a significant difference in per capita income (HI & HMI -US$ 28 129 vs. LI & LMI - US$ 1710.2) between the groups. Even after having no significant difference in monthly cost of haemodialysis (HD) and PD in LI & LMI countries, they have poorer PD utilization as compared to HI & HMI countries (3.4% vs. 10.1%); the reason being lack of formal training/incentives and time constraints for the nephrologist while lack of reimbursement and poor general awareness of modalities has been a snag for the patients. The region expects ≥10% PD growth in the near future. Hong Kong and Thailand with 'PD first' policy have the highest PD utilization. CONCLUSION: Important deterrents to PD underutilization were lack of PD centric policies, lackadaisical patient/physician's attitude, lack of structured patient awareness programs, formal training programs and affordability.
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Países em Desenvolvimento , Gastos em Saúde/tendências , Política de Saúde/tendências , Nefropatias/terapia , Nefrologistas/tendências , Nefrologia/tendências , Diálise Peritoneal/tendências , Padrões de Prática Médica/tendências , Ásia/epidemiologia , Atitude do Pessoal de Saúde , Países em Desenvolvimento/economia , Previsões , Produto Interno Bruto , Pesquisas sobre Atenção à Saúde , Gastos em Saúde/legislação & jurisprudência , Conhecimentos, Atitudes e Prática em Saúde , Política de Saúde/economia , Política de Saúde/legislação & jurisprudência , Humanos , Renda , Nefropatias/economia , Nefropatias/epidemiologia , Nefrologistas/economia , Nefrologistas/legislação & jurisprudência , Nefrologia/economia , Nefrologia/legislação & jurisprudência , Diálise Peritoneal/economia , Formulação de Políticas , Padrões de Prática Médica/economia , Padrões de Prática Médica/legislação & jurisprudênciaRESUMO
BACKGROUND: The association between economic status and kidney disease is incompletely explored even in countries with higher economy (HE); the situation is complex in lower economies (LE) of South Asia and Southeast Asia (SA and SEA). METHODS: Fifteen countries of SA and SEA categorized as HE and LE, represented by the representatives of the national nephrology societies, participated in this questionnaire and interview-based assessment of the impact of economic status on renal care. RESULTS: Average incidence and prevalence of end-stage kidney disease (ESKD) per million population (pmp) are 1.8 times and 3.3 times higher in HE. Hemodialysis is the main renal replacement therapy (RRT) (HE-68%, LE-63%). Funding of dialysis in HE is mainly by state (65%) or insurance bodies (30%); out of pocket expenses (OOPE) are high in LE (41%). Highest cost for hemodialysis is in Brunei and Singapore, and lowest in Myanmar and Nepal. Median number of dialysis machines/1000 ESKD population is 110 in HE and 53 in LE. Average number of machines/dialysis units in HE is 2.7 times higher than LE. The HE countries have 9 times more dialysis centers pmp (median HE-17, LE-02) and 16 times more nephrologist density (median HE-14.8 ppm, LE-0.94 ppm). Dialysis sessions >2/week is frequently followed in HE (84%) and <2/week in LE (64%). "On-demand" hemodialysis (<2 sessions/week) is prevalent in LE. Hemodialysis dropout rates at one year are lower in HE (12.3%; LE 53.4%), death being the major cause (HE-93.6%; LE-43.8%); renal transplants constitute 4% (Brunei) to 39% (Hong Kong) of the RRT in HE. ESKD burden is expected to increase >10% in all the HE countries except Taiwan, 10%-20% in the majority of LE countries. CONCLUSION: Economic disparity in SA and SEA is reflected by poor dialysis infrastructure and penetration, inadequate manpower, higher OOPE, higher dialysis dropout rates, and lesser renal transplantations in LE countries. Utility of RRT can be improved by state funding and better insurance coverage.
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BACKGROUND AND OBJECTIVES: Patient-reported outcomes have gained prominence in the management of chronic noncommunicable diseases. Measurement of health-related quality of life is being increasingly incorporated into medical decision making and health care delivery processes. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The Indian Chronic Kidney Disease Study is a prospective cohort of participants with mild to moderate CKD. Baseline health-related quality of life scores, determined by the standardized Kidney Disease Quality of Life 36 item instrument, are presented for the inception cohort (n=2919). Scores are presented on five subscales: mental component summary, physical component summary, burden, effect of kidney disease, and symptom and problems; each is scored 0-100. The associations of socioeconomic and clinical parameters with the five subscale scores and lower quality of life (defined as subscale score <1 SD of the sample mean) were examined. The main socioeconomic factors studied were sex, education, occupation, and income. The key medical factors studied were age, eGFR, diabetes, hypertension, and albuminuria. RESULTS: The mean (SD) subscale scores were physical component summary score, 43±9; mental component summary score, 48±10; burden, 61±33; effects, 87±13; and symptoms, 90±20. Among the socioeconomic variables, women, lower education, and lower income were negatively associated with reduced scores across all subscales. For instance, the respective ß-coefficients (SD) for association with the physical component summary subscale were -2.6 (-3.4 to -1.8), -1.5 (-2.2 to -0.7), and -1.6 (-2.7 to -0.5). Medical factors had inconsistent or no association with subscale scores. The quality of life scores also displayed regional variations. CONCLUSIONS: In this first of its kind analysis from India, predominantly socioeconomic factors were associated with quality of life scores in patients with CKD.