Advances in Human-Centered Care to Address Contemporary Unmet Needs in Chronic Dialysis.
Sumedh JayantiGopala K RanganPublished in: International journal of nephrology and renovascular disease (2024)
Advances in the treatment of kidney failure with chronic dialysis have stagnated over the past three decades, with over 50% of patients still managed by conventional in-hospital haemodialysis. In parallel, the demands of chronic dialysis medical care have changed and evolved due to a growing population that has higher frailty and multimorbidity. Thus, the gap between the needs of kidney failure patients and the healthcare capability to provide effective overall management has widened. To address this problem, healthcare policy has increasingly aligned towards a human-centred approach. The paradigm shift of human-centred approach places patients at the forefront of decision-making processes, ensuring that specific needs are understood and prioritised. Integration of human-centred approaches with patient care has been shown to improve satisfaction and quality of life. The aim of this narrative is to evaluate the current clinical challenges for managing kidney failure for dialysis providers; summarise current experiences and unmet needs of chronic dialysis patients; and finally emphasise how human-centred care has advanced chronic dialysis care. Specific incremental advances include implementation of renal supportive care; home-assisted dialysis; hybrid dialysis; refinements to dialysis methods; whereas emerging advances include portable and wearable dialysis devices and the potential for the integration of artificial intelligence in clinical practice.
Keyphrases
- end stage renal disease
- chronic kidney disease
- peritoneal dialysis
- healthcare
- endothelial cells
- artificial intelligence
- palliative care
- decision making
- induced pluripotent stem cells
- quality improvement
- newly diagnosed
- machine learning
- pluripotent stem cells
- public health
- ejection fraction
- emergency department
- blood pressure
- deep learning
- big data
- affordable care act
- health insurance
- heart rate
- human health
- combination therapy
- adverse drug
- health information
- patient reported