TY - JOUR
T1 - Evaluating the impact of upstream and downstream interventions on chronic kidney disease and dialysis care
T2 - a simulation analysis
AU - Ansah, John Pastor
AU - Hng, Keith Low Sheng
AU - Ahmad, Salman
AU - Goh, Cheryl
PY - 2021/5/19
Y1 - 2021/5/19
N2 - An ageing population, with increasing prevalence of diabetes and hypertension, is expected to increase the number of people with chronic kidney disease (CKD) and end-stage renal disease (ESRD) needing dialysis. This paper explores the impact of upstream and downstream interventions on the future number of CKD, ESRD patients needing dialysis, and the cost of dialysis. A system dynamics model was developed based on Singapore national data. Results indicate that under the base case scenario the number of people with CKD is projected to increase from 437,338 in 2020 to 489,049 by 2040. As a result, the number of patients requiring dialysis is projected to increase from 7669 in 2020 to 10,516 by 2040. The cost of dialysis care, under the base case, is projected to increase from S$417.08 million in 2020 to S$907.01 million by 2040. The policy experiments show that a combined policy will cumulatively save S$1.042 billion from 2020 to 2040.
AB - An ageing population, with increasing prevalence of diabetes and hypertension, is expected to increase the number of people with chronic kidney disease (CKD) and end-stage renal disease (ESRD) needing dialysis. This paper explores the impact of upstream and downstream interventions on the future number of CKD, ESRD patients needing dialysis, and the cost of dialysis. A system dynamics model was developed based on Singapore national data. Results indicate that under the base case scenario the number of people with CKD is projected to increase from 437,338 in 2020 to 489,049 by 2040. As a result, the number of patients requiring dialysis is projected to increase from 7669 in 2020 to 10,516 by 2040. The cost of dialysis care, under the base case, is projected to increase from S$417.08 million in 2020 to S$907.01 million by 2040. The policy experiments show that a combined policy will cumulatively save S$1.042 billion from 2020 to 2040.
U2 - 10.1002/sdr.1676
DO - 10.1002/sdr.1676
M3 - Article
SN - 0883-7066
VL - 37
SP - 32
EP - 58
JO - System Dynamics Review
JF - System Dynamics Review
IS - 1
ER -