Literature DB >> 27357099

Waiting Time Intervals for Non-small Cell Lung Cancer Diagnosis and Treatment in Alberta: Quantification of Intervals and Identification of Risk Factors Associated with Delays.

J O A Kim1, F Davis2, C Butts3, M Winget4.   

Abstract

AIMS: Very little is known regarding the time required to diagnose and treat patients with non-small cell lung cancer (NSCLC) in Canada. We sought to quantify diagnostic and treatment intervals for NSCLC care in Alberta and identify risk factors for delays.
MATERIALS AND METHODS: The Alberta Cancer Registry identified all cases of stage I-III NSCLC diagnosed and treated in Alberta, Canada from 2004 to 2011. Diagnostic data were obtained from physician billing, inpatient/outpatient hospital data and electronic medical records to quantify the duration of diagnostic and treatment intervals and their sum (system interval). Multivariable logistic regression was carried out to identify factors associated with delays.
RESULTS: Of the 3009 eligible patients included, the median and 90th percentile system interval was 78 (95% confidence interval 76-80) and 185 days (95% confidence interval 178-195), respectively. The treatment interval was longer than the diagnostic interval, with medians of 51 (95% confidence interval 49-53) and 38 (95% confidence interval 36-40) days, respectively. After adjustment, age > 60 years and treatment by modalities other than supportive care (especially surgery) were associated with delays. Factors associated with prompt care included high acuity presentations and stage III disease.
CONCLUSION: The majority of Albertans with potentially curable NSCLC exceeded guidelines for the timeliness of their care.
Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Delays; diagnostic waiting time intervals; non-small cell lung cancer; risk factors; treatment waiting time intervals

Mesh:

Year:  2016        PMID: 27357099     DOI: 10.1016/j.clon.2016.06.010

Source DB:  PubMed          Journal:  Clin Oncol (R Coll Radiol)        ISSN: 0936-6555            Impact factor:   4.126


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