Evaluating the impact of upstream and downstream interventions on chronic kidney disease and dialysis care: a simulation analysis
System Dynamics Review, ISSN: 1099-1727, Vol: 37, Issue: 1, Page: 32-58
2021
- 4Citations
- 26Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
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. © 2021 System Dynamics Society.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know