Characterizing Regional Variability in Lung Cancer Outcomes across Ontario-A Population-Based Analysis.
Monica L MullinJonas P ShellenbergerMarlo WhiteheadMichael BrundageElizabeth A EisenhauerM Diane LougheedChristopher M ParkerGeneviève C DigbyPublished in: Current oncology (Toronto, Ont.) (2022)
Background : Lung cancer (LC) is the leading cause of cancer-related mortality. In Ontario, Canada, there are significant survival differences for patients with newly diagnosed LC across the 14 provincial regions. Methods : A population-based retrospective cohort study using ICES databases from 01/2007-12/2017 identified patients with newly diagnosed LC through the Ontario Cancer Registry and those with LC as the cause of death. Descriptive data included patient, disease, and system characteristics. The primary outcome was 5-year survival by region. Results : 178,202 patient records were identified; 101,263 met inclusion criteria. LC incidence varied by region (5.6-14.6/10,000), as did histologic subtype (adenocarcinoma: 27.3-46.1%). Five-year cancer-specific survival was impacted by age, rurality, pathologic subtype, stage at diagnosis, and income quintile. Timely care was inversely related to survival (fastest quintile: HR 3.22, p < 0.0001). Adjusted 5-year cancer-specific survival varied across regions (24.1%, HR 1.12; 34.0%, HR 0.89, p < 0.001). Conclusions : When adjusting for confounders, differences in survival by health region persisted, suggesting a complex interplay between patient, disease, and system factors. A single approach to improving patient care is likely to be ineffective across different systems. Quality improvement initiatives to improve patient outcomes require different approaches amongst health regions to address local disparities in care.
Keyphrases
- quality improvement
- newly diagnosed
- healthcare
- papillary thyroid
- free survival
- public health
- simultaneous determination
- mental health
- case report
- palliative care
- squamous cell
- mass spectrometry
- cross sectional
- squamous cell carcinoma
- young adults
- metabolic syndrome
- machine learning
- big data
- skeletal muscle
- patient safety
- cardiovascular events
- insulin resistance
- health insurance
- locally advanced
- human health
- high resolution mass spectrometry