Potentially avoidable delays in diagnosis among patients with colorectal cancer: A population-based study.

Authors

null

Kano Amagai

The University of North Carolina at Chapel Hill, Chapel Hill, NC

Kano Amagai, Jamie Halula, Eman Metwally, Jennifer Leigh Lund, Georgios Lyratzopoulos, Nicholas Pettit, Christopher John Coyne, Hardeep Singh, Natalia Khalaf, Caroline A. Thompson

Organizations

The University of North Carolina at Chapel Hill, Chapel Hill, NC, University College London, London, United Kingdom, Indiana Cancer Pavil, Indianapolis, IN, University of California, San Diego, San Diego, CA, Baylor College of Medicine, Houston, TX

Research Funding

Other Foundation
Gordon and Betty Moore Foundation, U.S. National Institutes of Health

Background: Colorectal cancers (CRCs) have the second highest cancer mortality for both sexes combined because approximately 60% of incident cases are not diagnosed until progression to later stages. Many patients with CRC experience cancer-related signs and symptoms up to a year prior to diagnosis, but they are often non-specific in nature, leading to diagnostic difficulty and delays in care. Few studies have assessed the timeliness of CRC diagnosis using Medicare claims data. This study examines pre-diagnosis healthcare utilization of patients with CRC to understand potentially avoidable delays in diagnosis and estimates the association between delay and short-term mortality. Methods: We used SEER-Medicare data from 2008-2017 to identify Medicare beneficiaries aged 66+ at the time of invasive CRC diagnosis. ICD-9 and ICD-10 codes on claims were used to identify alarm or “red flag” signs/symptoms (e.g., rectal bleeding) and general signs/symptoms (e.g., fatigue) based on a literature review. The diagnostic interval (DI) was defined as the count of days from the first claim for a sign/symptom of CRC in the one-year pre-diagnosis period until the diagnosis date. Avoidable diagnostic delay was defined as having a DI longer than the 80th percentile (320 days) or 3+ visits for the same sign/symptom at least 14 days apart in the year prior to the diagnosis. Logistic regression was used to estimate 1-year mortality odds ratios among symptomatic patients who survived at least one month as a function of the avoidable delay adjusted for age, sex, year of diagnosis, comorbidity score, cancer stage at diagnosis, and tumor site. Results: Among111,283 Medicare beneficiaries diagnosed with invasive CRC, 92,450 (83%) patients experienced at least one sign/symptom in the year prior to diagnosis. The most common sign/symptom experienced was anemia (42%), followed by abdominal pain (37%) while blood in stool was observed in 20% of patients. The median DI was 176 days (IQR: 41-302) and those with only alarm symptoms recorded had substantially shorter DI compared to those who experienced general symptoms (median 29 vs 207 days). 29% of patients were classified as having a potentially avoidable diagnostic delay: 12% had 3+ visits for the same sign/symptom, 6.5% had a DI >80th percentile, and 9.9% had both. The adjusted odds of 1–year mortality was 14% higher among those with potentially avoidable diagnostic delay compared to those that did not experience diagnostic delay (AOR: 1.14, 95%CI: 1.09-1.21). Conclusions: Many patients with CRC experience CRC related signs/symptoms up to one year prior to their diagnosis. Despite screening availability and use, a substantial number of patients with CRC have a diagnostic delay, and diagnostic delays negatively impact mortality. Therefore, efforts to identify patients early, before progression to later stages, and decreasing diagnostic delays is vital to improve CRC outcomes.

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Abstract Details

Meeting

2023 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Health Care Access, Equity, and Disparities,Technology and Innovation in Quality of Care,Palliative and Supportive Care

Sub Track

Access to Timely Detection and Referral

Citation

JCO Oncol Pract 19, 2023 (suppl 11; abstr 122)

DOI

10.1200/OP.2023.19.11_suppl.122

Abstract #

122

Poster Bd #

B29

Abstract Disclosures

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