Prolonged wait time is associated with increased mortality for Chilean waiting list patients with non-prioritized conditions

Abstract Background Most data on mortality and prognostic factors of universal healthcare waiting lists come from North America, Australasia, and Europe, with little information from South America. We aimed to determine the relationship between medical center-specific waiting time and waiting list m...

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Main Authors: Diego A. Martinez (Author), Haoxiang Zhang (Author), Magdalena Bastias (Author), Felipe Feijoo (Author), Jeremiah Hinson (Author), Rodrigo Martinez (Author), Jocelyn Dunstan (Author), Scott Levin (Author), Diana Prieto (Author)
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Published: BMC, 2019-02-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Diego A. Martinez  |e author 
700 1 0 |a Haoxiang Zhang  |e author 
700 1 0 |a Magdalena Bastias  |e author 
700 1 0 |a Felipe Feijoo  |e author 
700 1 0 |a Jeremiah Hinson  |e author 
700 1 0 |a Rodrigo Martinez  |e author 
700 1 0 |a Jocelyn Dunstan  |e author 
700 1 0 |a Scott Levin  |e author 
700 1 0 |a Diana Prieto  |e author 
245 0 0 |a Prolonged wait time is associated with increased mortality for Chilean waiting list patients with non-prioritized conditions 
260 |b BMC,   |c 2019-02-01T00:00:00Z. 
500 |a 10.1186/s12889-019-6526-6 
500 |a 1471-2458 
520 |a Abstract Background Most data on mortality and prognostic factors of universal healthcare waiting lists come from North America, Australasia, and Europe, with little information from South America. We aimed to determine the relationship between medical center-specific waiting time and waiting list mortality in Chile. Method Using data from all new patients listed in medical specialist waitlists for non-prioritized health problems from 2008 to 2015 in three geographically distant regions of Chile, we constructed hierarchical multivariate survival models to predict mortality risk at two years after registration for each medical center. Kendall rank correlation analysis was used to measure the association between medical center-specific mortality hazard ratio and waiting times. Result There were 987,497 patients waiting for care at 77 medical centers, including 33,546 (3.40%) who died within two years after registration. Male gender (hazard ratio [HR] = 1.17, 95% confidence interval [CI] 1.1-1.24), older age (HR = 2.88, 95% CI 2.72-3.05), urban residence (HR = 1.19, 95% CI 1.09-1.31), tertiary care (HR = 2.2, 95% CI 2.14-2.26), oncology (HR = 3.57, 95% CI 3.4-3.76), and hematology (HR = 1.6, 95% CI 1.49-1.73) were associated with higher risk of mortality at each medical center with large region-to-region variations. There was a statistically significant association between waiting time variability and death (Z = 2.16, P = 0.0308). Conclusion Patient wait time for non-prioritized health conditions was associated with increased mortality in Chilean hospitals. 
546 |a EN 
690 |a Waiting lists 
690 |a Health equity 
690 |a Mortality 
690 |a Delivery of health care 
690 |a Engineering 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 19, Iss 1, Pp 1-11 (2019) 
787 0 |n http://link.springer.com/article/10.1186/s12889-019-6526-6 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/02f3d93c0cb94012948b6f7ce0ff45df  |z Connect to this object online.