ArticleBMC public health2019
Prolonged wait time is associated with increased mortality for Chilean waiting list patients with non-prioritized conditions.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Patient harms during delayed access to clinical genetics services. A systematic literature review and synthesis without meta-analysis (SWiM).European journal of human genetics : EJHG · 2026Review
- Association of nurse staffing ratios with patient mortality and length of stay in Chilean public hospitals: a cross-sectional study.BMJ open · 2026Article
- Health economic analysis of organizational models for breast cancer surgery: a bottom-up micro-costing and cost-minimization approach.Health economics review · 2026Article
- Article
- REFERRAL WAIT TIME AND ILLNESS SEVERITY OF PATIENTS WITH NONCOMMUNICABLE DISEASES REFERRED TO SPECIALIST CLINICS OF A TERTIARY HEALTHCARE CENTRE IN SOUTH-WEST NIGERIA.Annals of Ibadan postgraduate medicine · 2025Article
- Waiting times spillovers in a National Health Service hospital network: a little organizational diversity can go a long way.Health economics review · 2024Article
- The Synergetic Effect of 3D Printing and Electrospinning Techniques in the Fabrication of Bone Scaffolds.Annals of biomedical engineering · 2024Review
- Automatic Detection of Distant Metastasis Mentions in Radiology Reports in Spanish.JCO clinical cancer informatics · 2024Article
- An innovative model of access and triage to reduce waiting in an outpatient epilepsy clinic: an intervention study.BMC health services research · 2023Article
- A cost-effectiveness analysis of patiromer in the UK: evaluation of hyperkalaemia treatment and lifelong RAASi maintenance in chronic kidney disease patients with and without heart failure.BMC nephrology · 2023Article
- A predictive model for the post-pandemic delay in elective treatment.Operations research for health care · 2022Article
- The Waiting Game - How Cooperation Between Public and Private Hospitals Can Help Reduce Waiting Lists.Health care management science · 2022Article
- Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish.Frontiers in artificial intelligence · 2022Article
- Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.JMIR cancer · 2021Review
- The 2019 crisis in Chile: fundamental change needed, not just technical fixes to the health system.Journal of public health policy · 2020Review
- Adapting hospital capacity to meet changing demands during the COVID-19 pandemic.BMC medicine · 2020Article
- Impact of Socio-demographic Characteristics on Time in Outpatient Cardiology Clinics: A Retrospective Analysis.Inquiry : a journal of medical care organization, provision and financingArticle
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost 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.
methodUsing 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.
resultThere 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).
conclusionPatient wait time for non-prioritized health conditions was associated with increased mortality in Chilean hospitals.
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