Impact of COVID-19 on patient experience of kidney care: a rapid review

Journal of Nephrology(2023)

引用 0|浏览2
暂无评分
摘要
Introduction In March 2020, a pandemic state was declared due to SARS-COV-2 (COVID-19). Patients with kidney disease, especially those on replacement therapies, proved more susceptible to severe infection. This rapid literature review aims to help understand how the pandemic impacted patient experience of kidney care. Methods It was conducted in accordance with Cochrane Rapid Review interim guidance. Search terms, ‘coronavirus’, ‘kidney care’, and ‘patient-reported experience’ and terms with similar semantic meaning, identified 1,117 articles in Medline, Scopus, and Worldwide Science. Seventeen were included in the narrative synthesis. Results The findings were summarised into three themes: remote consultation and telemedicine ( n = 9); psychosocial impact ( n = 2); and patient satisfaction and patient-reported experience ( n = 6). Patients were mostly satisfied with remote consultations, describing them as convenient and allowing avoidance of hospital visits. Anxieties included missing potentially important clinical findings due to lack of physical examination, poor digital literacy, and technical difficulties. Psychosocial impact differed between treatment modalities—transplant recipients expressing feelings of instability and dread of having to return to dialysis, and generally, were less satisfied, citing reduced ability to work and difficulty accessing medications. Those on home dialysis treatments tended to feel safer. Findings focused on aspects of patient experience of kidney care during the pandemic rather than a holistic view. Conclusions There was little direct evaluation of modality differences and limited consideration of health inequalities in care experiences. A fuller understanding of these issues would guide policy agendas to support patient experience during future public health crises. Graphical abstract
更多
查看译文
关键词
Chronic kidney disease,Coronavirus,Kidney care,Patient experience
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要