Time to treatment as a quality metric in lung cancer: Staging studies, time to treatment, and patient survival

Research output: Contribution to journalArticlepeer-review

99 Scopus citations

Abstract

Purpose: Prompt staging and treatment are crucial for non-small cell lung cancer (NSCLC). We determined if predictors of treatment delay after diagnosis were associated with prognosis. Materials and methods: Medicare claims from 28,732 patients diagnosed with NSCLC in 2004-2007 were used to establish the diagnosis-to-treatment interval (ideally ≤35 days) and identify staging studies during that interval. Factors associated with delay were identified with multivariate logistic regression, and associations between delay and survival by stage were tested with Cox proportional hazard regression. Results: Median diagnosis-to-treatment interval was 27 days. Receipt of PET was associated with delays (57.4% of patients with PET delayed [n = 6646/11,583] versus 22.8% of those without [n = 3908/17,149]; adjusted OR = 4.48, 95% CI 4.23-4.74, p < 0.001). Median diagnosis-to-PET interval was 15 days; PET-to-clinic, 5 days; and clinic-to-treatment, 12 days. Diagnosis-to-treatment intervals <35 days were associated with improved survival for patients with localized disease and those with distant disease surviving ≥1 year but not for patients with distant disease surviving <1 year. Conclusion: Delays between diagnosing and treating NSCLC are common and associated with use of PET for staging. Reducing time to treatment may improve survival for patients with manageable disease at diagnosis.

Original languageEnglish (US)
Pages (from-to)257-263
Number of pages7
JournalRadiotherapy and Oncology
Volume115
Issue number2
DOIs
StatePublished - May 1 2015

Keywords

  • Medicare claims
  • Quality of care analysis
  • SEER database
  • Timeliness of care

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Time to treatment as a quality metric in lung cancer: Staging studies, time to treatment, and patient survival'. Together they form a unique fingerprint.

Cite this