Understanding and addressing wait times in healthcare systems has become a critical element of patient care and policy planning worldwide. Wait times, defined as the interval between the point at which a patient requires care and the point at which care is received, provide a direct measure of healthcare accessibility and efficiency. Furthermore, prolonged wait times can significantly impact patient outcomes and quality of life, rendering this issue a constant focus of concern and analysis by healthcare institutions, governments, and global organizations like the Organisation for Economic Co-operation and Development (OECD).
Metric
Value
Rank
Waiting Time > 1 Day
14%
#8
Wating Time > 1 Month
52%
#3
Metric
Value
Rank
Waiting Time > 1 Day
33%
#1
Wating Time > 1 Month
61%
#1
Metric
Value
Rank
Waiting Time > 1 Day
14%
#7
Wating Time > 1 Month
61%
#2
Metric
Value
Rank
Waiting Time > 1 Day
13%
#9
Wating Time > 1 Month
36%
#7
Metric
Value
Rank
Waiting Time > 1 Day
13%
#10
Wating Time > 1 Month
48%
#4
Metric
Value
Rank
Waiting Time > 1 Day
17%
#6
Wating Time > 1 Month
39%
#6
Metric
Value
Rank
Waiting Time > 1 Day
22%
#4
Wating Time > 1 Month
41%
#5
Metric
Value
Rank
Waiting Time > 1 Day
24%
#3
Wating Time > 1 Month
27%
#8
Metric
Value
Rank
Waiting Time > 1 Day
12%
#11
Wating Time > 1 Month
25%
#10
Metric
Value
Rank
Waiting Time > 1 Day
21%
#5
Wating Time > 1 Month
23%
#11
Metric
Value
Rank
Waiting Time > 1 Day
28%
#2
Wating Time > 1 Month
25%
#9
Region ↕ | Waiting Time > 1 Day ↕ | Wating Time > 1 Month ↕ |
---|---|---|
Australia | 14% | 52% |
Canada | 33% | 61% |
France | 14% | 61% |
Germany | 13% | 36% |
Netherlands | 13% | 48% |
New Zealand | 17% | 39% |
Norway | 22% | 41% |
Sweden | 24% | 27% |
Switzerland | 12% | 25% |
United Kingdom | 21% | 23% |
United States | 28% | 25% |