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BackgroundThere is a need for automated approaches to incorporate information on cancer recurrence events into population-based cancer registries. ObjectiveThe aim of this study is to determine the accuracy of a novel data mining algorithm to extract information from linked registry and medical claims data on the occurrence and timing of second breast cancer events (SBCE). MethodsWe used supervised data from 3092 stage I and II breast cancer cases (with 394 recurrences), diagnosed between 1993 and 2006 inclusive, of patients at Kaiser Permanente Washington and cases in the Puget Sound Cancer Surveillance System. Our goal was to classify each month after primary treatment as pre- versus post-SBCE. The prediction feature set for a given month consisted of registry variables on disease and patient characteristics related to the primary breast cancer event, as well as features based on monthly counts of diagnosis and procedure codes for the current, prior, and future months. A month was classified as post-SBCE if the predicted probability exceeded a probability threshold (PT); the predicted time of the SBCE was taken to be the month of maximum increase in the predicted probability between adjacent months. ResultsThe Kaplan-Meier net probability of SBCE was 0.25 at 14 years. The month-level receiver operating characteristic curve on test data (20% of the data set) had an area under the curve of 0.986. The person-level predictions (at a monthly PT of 0.5) had a sensitivity of 0.89, a specificity of 0.98, a positive predictive value of 0.85, and a negative predictive value of 0.98. The corresponding median difference between the observed and predicted months of recurrence was 0 and the mean difference was 0.04 months. ConclusionsData mining of medical claims holds promise for the streamlining of cancer registry operations to feasibly collect information about second breast cancer events.

Purpose: Understanding emergency department (ED) use in adolescent and young adult (AYA) survivors could identify gaps in AYA survivorship. Methods: We conducted a cohort study of 7925 AYA survivors (aged 15–39 years at diagnosis) who were 2–5 years from diagnosis in 2006–2020 at Kaiser Permanente Southern California. We calculated ED utilization rates overall and by indication of the encounter (headache, cardiac issues, and suicide attempts). We estimated rate changes by survivorship year and patient factors associated with ED visit using a Poisson model. Results: Cohort was 65.4% women, 45.8% Hispanic, with mean age at diagnosis at 31.3 years. Overall, 38% of AYA survivors had ≥1 ED visit (95th percentile: 5 ED visits). Unadjusted ED rates declined from 374.2/1000 person-years (PY) in Y2 to 327.2 in Y5 (p change < 0.001). Unadjusted rates declined for headache, cardiac issues, and suicide attempts. Factors associated with increased ED use included: age 20–24 at diagnosis [relative risk (RR) = 1.30, 95% CI 1.09–1.56 vs. 35–39 years]; female (RR = 1.27, 95% CI 1.11–1.47 vs. male); non-Hispanic Black race/ethnicity (RR 1.64, 95% CI 1.38–1.95 vs. non-Hispanic white); comorbidity (RR = 1.34, 95% CI 1.16–1.55 for 1 and RR 1.80, 95% CI 1.40–2.30 for 2+ vs. none); and public insurance (RR = 1.99, 95% CI 1.70–2.32 vs. private). Compared with thyroid cancer, cancers associated with increased ED use were breast (RR = 1.45, 95% CI 1.24–1.70), cervical (RR = 2.18, 95% CI 1.76–2.71), colorectal (RR = 2.34, 95% CI 1.94–2.81), and sarcoma (RR = 1.39, 95% CI 1.03–1.88). Conclusion: ED utilization declined as time from diagnosis elapsed, but higher utilization was associated with social determinants of health and cancer types. [ABSTRACT FROM AUTHOR]

Simple Summary: Adolescents and young adults (AYAs) experiencing cancer have support needs that differ from older adult cancer patients. The aim of our qualitative study was to determine the holistic needs of AYA cancer survivors and to develop a patient-centered conceptual model of AYA survivorship care. Analysis of our interview results reveals eight key domains critical to holistic patient-centered AYA survivorship care. We offer a conceptual model that differs from current conceptual models of AYA survivorship care by centering the patient and their support systems, emphasizing the need for continuing supportive navigation, and the importance of repeated support along the identified domains over time. Purpose: Conceptual models provide frameworks to illustrate relationships among patient-, provider-, system-, and community-level factors that inform care delivery and research. Existing models of cancer survivorship care focus largely on pediatric or adult populations whose needs differ from adolescents and young adults (AYAs). We developed a patient-centered conceptual model of AYA survivorship care. Methods: We conducted a narrative literature review of current conceptual and theoretical models of care. We engaged AYA cancer survivors (n = 25) in semi-structured one-hour telephone interviews. Most participants were in their 20s and 30s, and the majority (84%) were women. Recruitment was stratified by age and time since cancer diagnosis. We conducted a thematic analysis of interview transcripts to identify themes that exemplified patient-centered care. Results: Most participants identified as white and female. Leukemia and breast cancer were the most common cancer types. Main themes included the need for (1) care coordination, (2) ongoing mental health support, (3) connection to AYA peer support, (4) support during fertility preservation efforts, (5) support with financial burden, (6) support for quality of life, (7) information about and support with side effects and late effects, and (8) attention to the unique needs of young adults. Conclusions: We present a patient-centered conceptual model of AYA survivorship care needs that can inform future cancer care delivery and research. [ABSTRACT FROM AUTHOR]

Background: Despite increased recognition that structural racism contributes to poorer health outcomes for racial and ethnic minorities, there are knowledge gaps about how current patterns of racial residential segregation are associated with cancer screening uptake. The authors examined associations between Black residential segregation and screening for colorectal cancer (CRC) and cervical cancer among non‐Hispanic Black and non‐Hispanic White adults. Methods: This was a retrospective study of CRC and cervical cancer screening‐eligible adults from five health care systems within the Population‐Based Research to Optimize the Screening Process (PROSPR II) Consortium (cohort entry, 2010–2012). Residential segregation was measured using site‐specific quartiles of the Black local isolation score (LIS). The outcome was receipt of CRC or cervical cancer screening within 3 years of cohort entry (2010–2015). Logistic regression was used to calculate associations between the LIS and screening completion, adjusting for patient‐level covariates. Results: Among CRC (n = 642,661) and cervical cancer (n = 163,340) screening‐eligible patients, 456,526 (71.0%) and 106,124 (65.0%), respectively, received screening. Across PROSPR sites, living in neighborhoods with higher LIS tended to be associated with lower odds of CRC screening (Kaiser Permanente Northern California: adjusted odds ratio [aOR] LIS trend in Black patients, 0.95 [p <.001]; aOR LIS trend in White patients, 0.98 [p <.001]; Kaiser Permanente Southern California: aOR LIS trend in Black patients, 0.98 [p =.026]; aOR LIS trend in White patients, 1.01 [p =.023]; Kaiser Permanente Washington: aOR LIS trend in White patients, 0.97 [p =.002]. However, for cervical cancer screening, associations with the LIS varied by site and race (Kaiser Permanente Washington: aOR LIS trend in White patients, 0.95 [p <.001]; Mass General Brigham: aOR LIS trend in Black patients, 1.12 [p <.001]; aOR LIS trend in White patients, 1.03 [p <.001]). Conclusions: Across five diverse health care systems, the direction of the association between Black residential segregation and screening varied by PROSPR site, race, and screening type. Additional research, including studies that examine multiple dimensions of segregation and structural racism using intersectional approaches, are needed to further disentangle these relationships. In a retrospective study of five diverse health care systems in the United States, Black residential segregation, as measured by using the local isolation score, was not consistently associated with colorectal or cervical cancer screening in adjusted models. [ABSTRACT FROM AUTHOR]

Background: We updated algorithms to identify breast cancer recurrences from administrative data, extending previously developed methods. Methods: In this validation study, we evaluated pairs of breast cancer recurrence algorithms (vs. individual algorithms) to identify recurrences. We generated algorithm combinations that categorized discordant algorithm results as no recurrence [High Specificity and PPV (positive predictive value) Combination] or recurrence (High Sensitivity Combination). We compared individual and combined algorithm results to manually abstracted recurrence outcomes from a sample of 600 people with incident stage I-IIIA breast cancer diagnosed between 2004 and 2015. We used Cox regression to evaluate risk factors associated with age- and stage-adjusted recurrence rates using different recurrence definitions, weighted by inverse sampling probabilities. Results: Among 600 people, we identified 117 recurrences using the High Specificity and PPV Combination, 505 using the High Sensitivity Combination, and 118 using manual abstraction. The High Specificity and PPV Combination had good specificity [98%, 95% confidence interval (CI): 97-99] and PPV (72%, 95% CI: 63-80) but modest sensitivity (64%, 95% CI: 44-80). The High Sensitivity Combination had good sensitivity (80%, 95% CI: 49-94) and specificity (83%, 95% CI: 80-86) but low PPV (29%, 95% CI: 25-34). Recurrence rates using combined algorithms were similar in magnitude for most risk factors. Conclusions: By combining algorithms, we identified breast cancer recurrences with greater PPV than individual algorithms, without additional review of discordant records. [ABSTRACT FROM AUTHOR]

Background: Little is known about SARS-CoV-2 infection and COVID-19 severity among a growing population of cancer survivors. We describe the association of infection and related hospitalization by recency of cancer diagnosis in a large U.S. cohort. Methods: Participants were sent electronic surveys between April 2020 and January 2021 to collect information on SARS-CoV-2 infection and potential COVID-19-related risk factors. SARS-CoV-2 infections were identified using survey report of a COVID-19-positive test and electronic health record data. Cumulative incidence of SARS-CoV-2 infection was estimated up to 365 days from baseline survey and stratified by recency of cancer diagnosis. Among those with SARS-CoV-2 infection, we used logistic regression to estimate the association between recency of cancer diagnosis and hospitalization within 30 days of infection. Results: Cumulative incidence of SARS-CoV-2 infection at 365 days was 3.3% [95% confidence interval (CI), 3.2%-3.5%] among those without cancer history and ranged from 2.8% (95% CI, 2.3%-3.5%) to 3.7% (95% CI, 2.9%-4.7%) among those with a history of cancer depending on recency. There was no statistically significant difference in odds of hospitalization within 30 days following SARS-CoV-2 infection by cancer diagnosis recency. Conclusions: Our null findings are consistent with other studies on COVID-19 infection risk in cancer survivors, where COVID-19 severity and sequelae were independent of cancer history and were likely associated with factors such as intensive care unit admission, noncancer comorbid conditions, and long-term care residency. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer screening is universally recommended for adults ages 45 to 75 years. Noninvasive fecal occult blood tests are effective screening tests recommended by guidelines. However, empirical evidence to inform older adults' decisions about whether to continue screening is sparse, especially for individuals with prior screening. Methods: This study used a retrospective cohort of older adults at three Kaiser Permanente integrated healthcare systems (Northern California, Southern California, Washington) and Parkland Health. Beginning 1 year following a negative stool-based screening test, cumulative risks of colorectal cancer incidence, colorectal cancer mortality (accounting for deaths from other causes), and non-colorectal cancer mortality were estimated. Results: Cumulative incidence of colorectal cancer in screen-eligible adults ages 76 to 85 with a negative fecal occult blood test 1 year ago (N = 118,269) was 0.23% [95% confidence interval (CI), 0.20%-0.26%] after 2 years and 1.21% (95% CI, 1.13%-1.30%) after 8 years. Cumulative colorectal cancer mortality was 0.03% (95% CI, 0.02%-0.04%) after 2 years and 0.33% (95% CI, 0.28%-0.39%) after 8 years. Cumulative risk of death from non-colorectal cancer causes was 4.81% (95% CI, 4.68%-4.96%) after 2 years and 28.40% (95% CI, 27.95%-28.85%) after 8 years. Conclusions: Among 76- to 85-year-olds with a recent negative stool-based test, cumulative colorectal cancer incidence and mortality estimates were low, especially within 2 years; death from other causes was over 100 times more likely than death from colorectal cancer. Impact: These findings of low absolute colorectal cancer risk, and comparatively higher risk of death from other causes, can inform decision-making regarding whether and when to continue colorectal cancer screening beyond age 75 among screen-eligible adults. [ABSTRACT FROM AUTHOR]

We describe a randomized controlled trial, the Lakota Oyate Wicozani Pi Kte (LOWPK) trial, which was designed to determine whether a Web-based diabetes and nutritional intervention can improve risk factors related to cardiovascular disease (CVD) among a group of remote reservation-dwelling adult American Indian men and women with type 2 diabetes who are at high risk for CVD. Enrollment on a rolling basis of 180 planned participants began during 2009; an average 18-month follow-up was completed by June 2011. The primary outcome variable is change in glycosylated hemoglobin level after an average 18-month follow-up period. Secondary outcome variables include changes in low-density lipoprotein cholesterol, systolic blood pressure, body mass index, and smoking status, as well as an evaluation of intervention cost-effectiveness. If effective, the LOWPK trial may serve as a guide for future chronic disease intervention trials in remote, technologically challenged settings.