Patterns of Care Following a Positive Fecal Blood Test for Colorectal Cancer: A Mixed Methods Study.

BACKGROUND/OBJECTIVE: Multilevel barriers to colonoscopy after a positive fecal blood test for colorectal cancer (CRC) are well-documented. A less-explored barrier to appropriate follow-up is repeat fecal testing after a positive test. We investigated this phenomenon using mixed methods. DESIGN: This sequential mixed methods study included quantitative data from a large cohort of patients 50-89 years from four healthcare systems with a positive fecal test 2010-2018 and qualitative data from interviews with physicians and patients. MAIN MEASURES: Logistic regression was used to evaluate whether repeat testing was associated with failure to complete subsequent colonoscopy and to identify factors associated with repeat testing. Interviews were coded and analyzed to explore reasons for repeat testing. KEY RESULTS: A total of 316,443 patients had a positive fecal test. Within 1 year, 76.3% received a colonoscopy without repeat fecal testing, 3% repeated testing and then received a colonoscopy, 4.4% repeated testing without colonoscopy, and 16.3% did nothing. Among repeat testers (7.4% of total cohort, N = 23,312), 59% did not receive a colonoscopy within 1 year. In adjusted models, those with an initial positive test followed by a negative second test were significantly less likely to receive colonoscopy than those with two successive positive tests (OR 0.37, 95% CI 0.35-0.40). Older age (65-75 vs. 50-64 years: OR 1.37, 95% CI 1.33-1.41) and higher comorbidity score (≥ 4 vs. 0: OR 1.75, 95% CI 1.67-1.83) were significantly associated with repeat testing compared to those who received colonoscopy without repeat tests. Qualitative interview data revealed reasons underlying repeat testing, including colonoscopy avoidance, bargaining, and disbelief of positive results. CONCLUSIONS: Among patients in this cohort, 7.4% repeated fecal testing after an initial positive test. Of those, over half did not go on to receive a colonoscopy within 1 year. Efforts to improve CRC screening must address repeat fecal testing after a positive test as a barrier to completing colonoscopy.

Emergency Department Use in Adolescent and Young Adult Cancer Early Survivors from 2006 to 2020.

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.

Late endocrine diseases in survivors of adolescent and young adult cancer in California: a population-based study.

BACKGROUND: Cancer survivors have increased risk of endocrine complications, but there is a lack of information on the occurrence of specific endocrinopathies at the population-level. METHODS: We used data from the California Cancer Registry (2006-2018) linked to statewide hospitalisation, emergency department, and ambulatory surgery databases. We estimated the cumulative incidence of and factors associated with endocrinopathies among adolescents and young adults (AYA, 15-39 years) who survived ≥2 years after diagnosis. RESULTS: Among 59,343 AYAs, 10-year cumulative incidence was highest for diabetes (4.7%), hypothyroidism (4.6%), other thyroid (2.2%) and parathyroid disorders (1.6%). Hypothyroidism was most common in Hodgkin lymphoma, leukaemia, breast, and cervical cancer survivors, while diabetes was highest among survivors of leukaemias, non-Hodgkin lymphoma, colorectal, cervical, and breast cancer. In multivariable models, factors associated with increased hazard of endocrinopathies were treatment, advanced stage, public insurance, residence in low/middle socioeconomic neighbourhoods, older age, and non-Hispanic Black or Hispanic race/ethnicity. Haematopoietic cell transplant was associated with most endocrinopathies, while chemotherapy was associated with a higher hazard of ovarian dysfunction and hypothyroidism. CONCLUSIONS: We observed a high burden of endocrinopathies among AYA cancer survivors, which varied by treatment and social factors. Evidence-based survivorship guidelines are needed for surveillance of these diseases.

Late venous thromboembolism in survivors of adolescent and young adult cancer: A population-based study in California.

INTRODUCTION: Venous thromboembolism (VTE), a common complication in cancer patients, occurs more often during the initial phase of treatment. However, information on VTE beyond the first two years after diagnosis ('late VTE') is scarce, particularly in young survivors. METHODS: We examined the risk of, and factors associated with, late VTE among adolescents and young adults (AYA, 15-39 years) diagnosed with cancer (2006-2018) who survived ≥2 years. Data were obtained from the California Cancer Registry linked to hospitalization, emergency department and ambulatory surgery data. We used non-parametric models and Cox proportional hazard regression for analyses. RESULTS: Among 59,343 survivors, the 10-year cumulative incidence of VTE was 1.93 % (CI 1.80-2.07). The hazard of VTE was higher among those who had active cancer, including progression from lower stages to metastatic disease (Hazard Ratio (HR) = 10.41, 95 % confidence interval (CI): 8.86-12.22), second primary cancer (HR = 2.58, CI:2.01-3.31), or metastatic disease at diagnosis (HR = 2.38, CI:1.84-3.09). The hazard of late VTE was increased among survivors who underwent hematopoietic cell transplantation, those who received radiotherapy, had a VTE history, public insurance (vs private) or non-Hispanic Black/African American race/ethnicity (vs non-Hispanic White). Patients with leukemias, lymphomas, sarcoma, melanoma, colorectal, breast, and cervical cancers had a higher VTE risk than those with thyroid cancer. CONCLUSIONS: VTE risk remained elevated ≥2 years following cancer diagnosis in AYA survivors. Active cancer is a significant risk factor for VTE. Future studies might determine if late VTE should prompt evaluation for recurrence or second malignancy, if not already known.

Hot alkaline lysis gDNA extraction from formalin-fixed archival tissues.

Formalin fixation of natural history specimens and histopathological material has historically been viewed as an impediment to successful genomic analysis. However, the development of extraction methods specifically tailored to contend with heavily crosslinked archival tissues, re-contextualises millions of previously overlooked specimens as viable molecular assets. Here, we present an easy-to-follow protocol for screening archival wet specimens for molecular viability and subsequent genomic DNA extraction suitable for sequencing. The protocol begins with non-destructive assessment of specimen degradation and preservation media conditions to allow both museum curators and researchers to select specimens most likely to yield an acceptable proportion (20-60%) of mappable endogenous DNA during short-read DNA sequencing. The extraction protocol uses hot alkaline lysis in buffer (0.1M NaOH, 1% SDS, pH 13) to simultaneously lyse and de-crosslink the tissue. To maximise DNA recovery, phenol:chloroform extraction is coupled with a small-fragment optimised SPRI bead clean up. Applied to well-preserved archival tissues, the protocol can yield 1-2 µg DNA per 50 mg of tissue with mean fragment sizes typically ranging from 50-150 bp, which is suitable to recover genomic DNA sufficient to reconstruct complete mitochondrial genomes and achieve up to 25X nuclear genome coverage. We provide guidance for read mapping to a reference genome and discuss the limitations of relying on small fragments for SNP genotyping and de novo genome assembly. This protocol opens the door to broader-scale genetic and phylogenetic analysis of historical specimens, contributing to a deeper understanding of evolutionary trends and adaptation in response to changing environments.

Unsatisfactory Fecal Immunochemical Tests for Colorectal Cancer Screening: Prevalence, Reasons, and Subsequent Testing.

BACKGROUND: Fecal immunochemical test (FIT) is an effective colorectal cancer screening modality. Little is known about prevalence, reasons, and testing after unsatisfactory FIT, or a FIT that cannot be processed by the laboratory due to inadequate stool specimen or incomplete labeling. METHODS: Our retrospective cohort study examined unsatisfactory FIT among average-risk individuals aged 50-74 years in a large, integrated, safety-net health system who completed an index FIT from 2010 to 2019. We determined prevalence of unsatisfactory FIT and categorized reasons hierarchically. We used multivariable logistic regression models to identify factors associated with: (i) unsatisfactory FIT; and (ii) subsequent testing within 15 months of the unsatisfactory FIT. RESULTS: Of 56,980 individuals completing an index FIT, 10.2% had an unsatisfactory FIT. Reasons included inadequate specimen (51%), incomplete labeling (27%), old specimen (13%), and broken/leaking container (8%). Unsatisfactory FIT was associated with being male [OR, 1.10; confidence interval (CI), 1.03-1.16], Black (OR, 1.46; CI, 1.33-1.61), Spanish speaking (OR, 1.12; CI, 1.01-1.24), on Medicaid (OR, 1.42; CI, 1.28-1.58), and received FIT by mail (OR, 2.66; CI, 2.35-3.01). Among those with an unsatisfactory FIT, fewer than half (41%) completed a subsequent test within 15 months (median, 4.4 months). Adults aged 50-54 years (OR, 1.16; CI, 1.01-1.39) and those who received FIT by mail (OR, 1.92; CI, 1.49-2.09) were more likely to complete a subsequent test. CONCLUSIONS: One in ten returned a FIT that could not be processed, mostly due to patient-related reasons. Fewer than half completed a subsequent test after unsatisfactory FIT. IMPACT: Screening programs should address these breakdowns such as specimen collection and labeling to improve real-world effectiveness. See related In the Spotlight, p. 183.

Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer Recurrence.

PURPOSE: The risk of colorectal cancer (CRC) recurrence after primary treatment varies across individuals and over time. Using patients' most up-to-date information, including carcinoembryonic antigen (CEA) biomarker profiles, to predict risk could improve personalized decision making. METHODS: We used electronic health record data from an integrated health system on a cohort of patients diagnosed with American Joint Committee on Cancer stage I-III CRC between 2008 and 2013 (N = 3,970) and monitored until recurrence or end of follow-up. We addressed missingness in recurrence outcomes and longitudinal CEA measures, and engineered CEA features using current and past biomarker values for inclusion in a risk prediction model. We used a discrete time Superlearner model to evaluate various algorithms for predicting recurrence. We evaluated the time-varying discrimination and calibration of the algorithms and assessed the role of individual predictors. RESULTS: Recurrence was documented in 448 (11.3%) patients. XGBoost with depth = 1 (XGB-D1) predicted recurrence substantially better than all other algorithms at all time points, with AUC ranging from 0.87 (95% CI, 0.86 to 0.88) at 6 months to 0.94 (95% CI, 0.92 to 0.96) at 54 months. The only variable used by XGB-D1 was 6-month change in log CEA. Predicted 1-year risk of recurrence was nearly zero for patients whose log CEA did not increase in the last 6 months, between 12.2% and 34.1% for patients whose log CEA increased between 0.10 and 0.40, and 43.6% for those with a log CEA increase >0.40. Compared with XGB, penalized regression approaches (lasso, ridge, and elastic net) performed poorly, with AUCs ranging from 0.58 to 0.69. CONCLUSION: A flexible, machine learning approach that incorporated longitudinal CEA information yielded a simple and high-performing model for predicting recurrence on the basis of 6-month change in log CEA.

Challenges and Opportunities of Epidemiological Studies to Reduce the Burden of Cancers in Young Adults.

There are >1.9 million survivors of adolescent and young adult cancers (AYA, diagnosed at ages 15-39) living in the U.S. today. Epidemiologic studies to address the cancer burden in this group have been a relatively recent focus of the research community. In this article, we discuss approaches and data resources for cancer epidemiology and health services research in the AYA population. We consider research that uses data from cancer registries, vital records, healthcare utilization, and surveys, and the accompanying challenges and opportunities of each. To illustrate the strengths of each data source, we present example research questions or areas that are aligned with these data sources and salient to AYAs. Integrating the respective strengths of cancer registry, vital records, healthcare data, and survey-based studies sets the foundation for innovative and impactful research on AYA cancer treatment and survivorship to inform a comprehensive understanding of diverse AYA needs and experiences.

Incidence and Survival for Patients Diagnosed With Breast, Colorectal, and Lung Cancer in an Integrated System.

INTRODUCTION: Documenting trends in cancer incidence and survival is a national priority. This study estimated age- and sex-adjusted incidence and 5-year relative survival among patients with cancer diagnosed within Kaiser Permanente compared to Surveillance, Epidemiology, and End Results (SEER) estimates. METHODS: The cohort included Kaiser Permanente health plan members diagnosed with breast (BC), colorectal (CRC), or lung cancer (LC) between January 1, 1999 and December 31, 2018. Incidence was computed as age-adjusted rates per 100,000 member-years. SEER*Stat was used to compute 5-year relative survival. RESULTS: Kaiser Permanente BC incidence rates were persistently higher than SEER from 2004 (126.5 [95% confidence interval (CI) = 123.2-129.9] vs 122.6 [95% CI = 121.3-123.2]) through 2013 (132.06 [95% CI = 129.5-135.7] vs 126.7 [95% CI = 125.9-127.5]). Kaiser Permanente CRC and LC incidence rates were lower than SEER for all years except 2008, showing a spike in CRC incidence (51.5 [95% CI = 49.9-53.0] vs 46.1 [95% CI = 45.7-46.4]). Kaiser Permanente BC, CRC, and LC survival estimates for all stages were higher than SEER. CONCLUSIONS: Incidence rates for all-stage and localized-stage BC were consistently higher for Kaiser Permanente than for SEER. CRC and LC rates were lower. Kaiser Permanente survival rates were consistently higher than for SEER. The strengths of these findings are associated with the ability to capture "gold-standard" cancer registry data on defined Kaiser Permanente populations. However, findings should be interpreted cautiously given differences in the underlying populations and secular and regional differences between Kaiser Permanente and SEER. The Kaiser Permanente population is younger and more racially diverse than SEER aggregate populations, and Kaiser Permanente members are insured with access to preventive care (eg, smoking cessation programs, cancer screening).

Barriers and facilitators to implementation and sustainment of guideline-recommended depression screening for patients with breast cancer in medical oncology: a qualitative study.

OBJECTIVES: Implementation of guideline-recommended depression screening in oncology presents numerous challenges. Implementation strategies that are responsive to local context may be critical elements of adoption and sustainment. We evaluated barriers and facilitators to implementation of a depression screening program for breast cancer patients in a community medical oncology setting as part of a cluster randomized controlled trial. METHODS: Guided by the Consolidated Framework for Implementation Research, we employed qualitative methods to evaluate clinician, administrator, and patient perceptions of the program using semi-structured interviews. We used a team-coding approach for the data; thematic development focused on barriers and facilitators to implementation using a grounded theory approach. The codebook was refined through open discussions of subjectivity and unintentional bias, coding, and memo applications (including emergent coding), and the hierarchical structure and relationships of themes. RESULTS: We conducted 20 interviews with 11 clinicians/administrators and 9 patients. Five major themes emerged: (1) gradual acceptance and support of the intervention and workflow; (2) compatibility with system and personal norms and goals; (3) reinforcement of the value of and need for adaptability; (4) self-efficacy within the nursing team; and (5) importance of identifying accountable front-line staff beyond leadership "champions." CONCLUSIONS: Findings suggest a high degree of acceptability and feasibility due to the selection of appropriate implementation strategies, alignment of norms and goals, and a high degree of workflow adaptability. These findings will be uniquely helpful in generating actionable, real-world knowledge to inform the design, implementation, and sustainment of guideline-recommended depression screening programs in oncology. TRIAL REGISTRATION: ClinicalTrials.gov #NCT02941614.

Underutilization or appropriate care? Assessing adjuvant chemotherapy use and survival in 3 heterogenous subpopulations with stage II/III colorectal cancer within a large integrated health system.

BACKGROUND: Clinical guidelines have recommended adjuvant chemotherapy (ACT) for patients with high-risk stage II colon cancer, although the survival benefit is unclear. ACT is also recommended for patients with stage III colon cancer to reduce the risk of recurrence and mortality. For stage II/III rectal cancer, however, the role of perioperative chemotherapy (PCT, adjuvant or neoadjuvant) remains controversial, resulting in substantial variation in its use in clinical practice. OBJECTIVES: To understand real-world use and predictors of ACT or PCT use and survival outcomes in 3 heterogeneous patient groups with colorectal cancer (CRC), and to inform the evidence gap between guideline-based care and clinical practice. METHODS: This retrospective cohort study included patients with an initial stage II/III CRC diagnosis between 2008 and 2013 identified from Kaiser Permanente Southern California electronic health record databases. Patients were eligible if they were aged 18-74 years at diagnosis and received primary curative surgery. We fitted mixed effects logistic regression models to evaluate predictors of ACT receipt and Cox proportional hazards models on propensity score-matched (PS-matched) samples to assess the association between ACT/PCT receipt and survival. RESULTS: We included 1,690 patients with colon cancer (stage II: 820 and stage III: 870) and 587 patients with rectal cancer (stage II: 241 and stage III: 346). We found that 65% of patients with high-risk stage II colon cancer, 15% of those with stage III colon, and 15% of those with stage II/III rectal cancer did not receive ACT/PCT. Patients with stage II colon cancer with T4 stage (odds ratio [OR] = 5.79, 95% CI = 3.33 - 10.06) and a lower comorbidity score were more likely to receive ACT (high vs low Charlson score: OR = 0.69, 95% CI = 0.55 - 0.87). Patients with stage III rectal cancer were more likely to receive PCT than those with stage II disease (OR = 7.85, 95% CI = 2.07 - 29.74). Patients with another cancer diagnosis prior to CRC diagnosis were less likely to receive PCT (OR = 0.37, 95% CI = 0.16 - 0.85). ACT/PCT use was associated with improved overall survival among patients with high-risk stage II colon cancer (PS-matched hazard ratio [HR] = 0.42, 95% CI = 0.25 - 0.70) and those with stage III CRC (stage III colon: PS-matched HR = 0.3, 95% CI = 0.25 - 0.36; stage III rectal: PS-matched HR = 0.2, 95% CI = 0.13 - 0.31). CONCLUSIONS: We found potential underuse of appropriate chemotherapy treatment in patients with high-risk stage II colon cancer and stage III CRC. Clinicians' and providers' decisions on ACT administration may not be fully guided by the risk of recurrence and 5-year survival benefits in stage II colon cancer. DISCLOSURES: This research was supported by the National Cancer Institute of the National Institutes of Health (NIH) (under R37-CA218413). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Racial and Ethnic Bias in Risk Prediction Models for Colorectal Cancer Recurrence When Race and Ethnicity Are Omitted as Predictors.

Importance: Including race and ethnicity as a predictor in clinical risk prediction algorithms has received increased scrutiny, but there continues to be a lack of empirical studies addressing whether simply omitting race and ethnicity from the algorithms will ultimately affect decision-making for patients of minoritized racial and ethnic groups. Objective: To examine whether including race and ethnicity as a predictor in a colorectal cancer recurrence risk algorithm is associated with racial bias, defined as racial and ethnic differences in model accuracy that could potentially lead to unequal treatment. Design, Setting, and Participants: This retrospective prognostic study was conducted using data from a large integrated health care system in Southern California for patients with colorectal cancer who received primary treatment between 2008 and 2013 and follow-up until December 31, 2018. Data were analyzed from January 2021 to June 2022. Main Outcomes and Measures: Four Cox proportional hazards regression prediction models were fitted to predict time from surveillance start to cancer recurrence: (1) a race-neutral model that explicitly excluded race and ethnicity as a predictor, (2) a race-sensitive model that included race and ethnicity, (3) a model with 2-way interactions between clinical predictors and race and ethnicity, and (4) separate models by race and ethnicity. Algorithmic fairness was assessed using model calibration, discriminative ability, false-positive and false-negative rates, positive predictive value (PPV), and negative predictive value (NPV). Results: The study cohort included 4230 patients (mean [SD] age, 65.3 [12.5] years; 2034 [48.1%] female; 490 [11.6%] Asian, Hawaiian, or Pacific Islander; 554 [13.1%] Black or African American; 937 [22.1%] Hispanic; and 2249 [53.1%] non-Hispanic White). The race-neutral model had worse calibration, NPV, and false-negative rates among racial and ethnic minority subgroups than non-Hispanic White individuals (eg, false-negative rate for Hispanic patients: 12.0% [95% CI, 6.0%-18.6%]; for non-Hispanic White patients: 3.1% [95% CI, 0.8%-6.2%]). Adding race and ethnicity as a predictor improved algorithmic fairness in calibration slope, discriminative ability, PPV, and false-negative rates (eg, false-negative rate for Hispanic patients: 9.2% [95% CI, 3.9%-14.9%]; for non-Hispanic White patients: 7.9% [95% CI, 4.3%-11.9%]). Inclusion of race interaction terms or using race-stratified models did not improve model fairness, likely due to small sample sizes in subgroups. Conclusions and Relevance: In this prognostic study of the racial bias in a cancer recurrence risk algorithm, removing race and ethnicity as a predictor worsened algorithmic fairness in multiple measures, which could lead to inappropriate care recommendations for patients who belong to minoritized racial and ethnic groups. Clinical algorithm development should include evaluation of fairness criteria to understand the potential consequences of removing race and ethnicity for health inequities.

Racial Disparities in the Ascertainment of Cancer Recurrence in Electronic Health Records.

PURPOSE: There is growing interest in using computable phenotypes or proxies to identify important clinical outcomes, such as cancer recurrence, in rich electronic health records data. However, the race/ethnicity-specific accuracies of these proxies remain unclear. We examined whether the accuracy of a proxy for colorectal cancer (CRC) recurrence differed by race/ethnicity and the possible mechanisms that drove the differences. METHODS: Using data from a large integrated health care system, we identified a stratified random sample of 282 Black/African American (AA), Hispanic, and non-Hispanic White (NHW) patients with CRC who received primary treatment. Patient 5-year recurrence status was estimated using a utilization-based proxy and evaluated against the true recurrence status obtained using detailed chart review and by race/ethnicity. We used covariate-adjusted probit regression models to estimate the associations between race/ethnicity and misclassification. RESULTS: The recurrence proxy had excellent overall accuracy (positive predictive value [PPV] 89.4%; negative predictive value 96.5%; mean difference in timing 1.96 months); however, accuracy varied by race/ethnicity. Compared with NHW patients, PPV was 14.9% lower (95% CI, 2.53 to 28.6) among Hispanic patients and 4.3% lower (95% CI, -4.8 to 14.8) among Black/AA patients. The proxy disproportionately inflated the 5-year recurrence incidence for Hispanic patients by 10.6% (95% CI, 4.2 to 18.2). Compared with NHW patients, proxy recurrences for Hispanic patients were almost three times as likely to have been misclassified as positive (adjusted risk ratio 2.91 [95% CI, 1.21 to 8.31]). Higher false positives among racial/ethnic minorities may be related to higher prevalence of noncancerous lung-related problems and substantial delays in primary treatment because of insufficient patient-provider communication and abnormal treatment patterns. CONCLUSION: Using a proxy with worse accuracy among racial/ethnic minority patients to estimate population health may misdirect resources and support erroneous conclusions around treatment benefit for these patients.

Trends in sepsis and pneumonia during COVID-19: lessons from BPCIA.

OBJECTIVES: The COVID-19 pandemic affected care delivery nationwide for all patients, influencing cost and utilization for patients both with and without COVID-19. Our first analysis assessed changes in utilization for patients with sepsis without COVID-19 prior to vs during the pandemic. Our second analysis assessed cost and utilization changes during the pandemic for patients with sepsis or pneumonia both with and without COVID-19. STUDY DESIGN: A retrospective case-control study was utilized to determine differences in cost and utilization for patients with sepsis or pneumonia, relative to a COVID-19 diagnosis. METHODS: Claims data from 8 teaching hospitals participating in sepsis and pneumonia episodes in the Bundled Payments for Care Improvement Advanced (BPCIA) model were utilized. BPCIA is a Medicare value-based care bundled payment program that aims to decrease costs and increase quality of care through a 90-day total cost of care model. RESULTS: The first analysis (N = 1092) found that non-COVID-19 patients with sepsis had 26% higher hospice utilization (P < .05) and 38% higher mortality (P < .0001) during the pandemic vs the prepandemic period. The second analysis (N = 640) found that during the pandemic, patients with sepsis or pneumonia with COVID-19 had 70% more skilled nursing facility (SNF) use (P < .0001), 132% higher SNF costs (P < .0001), and 21% higher total episode costs (P < .0001) compared with patients without COVID-19. CONCLUSIONS: COVID-19 has affected care patterns for all patients. Patients without COVID-19 postponed care and used lower-acuity care settings, whereas patients with COVID-19 were more costly and utilized postacute care at a higher rate. These analyses inform future care coordination initiatives, given the ongoing pandemic.

Succeeding in Medicare's newest bundled payment program: Results from teaching hospitals.

BACKGROUND: In 2018, Medicare implemented a successor to its Bundled Payments for Care Improvement (BPCI) program, BPCI Advanced, with stricter participation rules and new financial incentives to reduce spending. METHODS: Using claims-based episode data from thirteen participants, we compared spending and utilization in the first fifteen months of the new program (October 2018 to December 2019) to hospital- and episode-specific target prices, with a deep dive into clinical correlates for the most commonly-selected clinical episodes, sepsis and congestive heart failure. RESULTS: Twelve out of thirteen participants in a collaborative of teaching hospitals achieved shared savings for both Medicare and their own institution. Aggregate hospital shared savings were 5.8% of benchmark prices across 6,131 patients in 16 clinical episodes (p<0.001), appreciably higher than the reference savings rates reported after the first period of Medicare's predecessor BPCI program. Differences in shared savings across hospitals for sepsis and congestive heart failure correlated with reductions in patients' use of post-acute care, including reductions in skilled nursing facility, readmission, and home health rates. Evidence is presented showing reductions in patient utilization for cost-intensive post-acute settings accompanied increases in the proportion of patients exclusively utilizing non-institutional care after discharge from an anchor stay or procedure. CONCLUSIONS: These findings provide an example of the fulfillment of a core promise of bundled payments to uncover new opportunities for reduced spending. LEVEL OF EVIDENCE: Non-random cohort of hospitals.

A study protocol for a cluster randomized pragmatic trial for comparing strategies for implementing primary HPV testing for routine cervical cancer screening in a large health care system.

BACKGROUND: Limited guidance exists regarding implementation strategies that best facilitate cancer screening practice substitution and achieve optimal stakeholder-centered outcomes. Here we describe the protocol for a randomized pragmatic trial comparing two implementation strategies to facilitate substitution of primary HPV screening for Pap and HPV co-testing to perform routine cervical cancer screening of women aged 30-65 years at Kaiser Permanente Southern California (KPSC). METHODS: Twelve service areas within KPSC will be randomized to a "centrally-administered system-wide implementation + local-tailored implementation" strategy or a "centrally-administered system-wide implementation only" strategy. The centrally-administered strategy comprises clinician and staff educational activities. Sites in the local-tailored arm will then conduct a structured local needs assessment followed by site-specific selection and deployment of implementation interventions. Surveys and interviews will be conducted among women and providers from the primary care and ob/gyn departments prior to the system-wide transition, shortly after the transition, and after the completion of local-tailored interventions. A stakeholder advisory committee will assist with study design, defining stakeholder-centered outcomes, and developing data collection tools. RESULTS: The primary outcome of interest is uptake of primary HPV screening. Secondary provider-centered outcomes include provider knowledge, delivery of patient education, satisfaction with the practice substitution process, and resistance to primary HPV screening. Secondary patient-centered outcomes include patient knowledge, stigma, and satisfaction with the screening process. Intervention fidelity will also be measured via surveys. CONCLUSIONS: Findings from this study will help inform future use of a local-tailored implementation strategy for adopting primary HPV screening at large health care systems. Findings may also be applicable to other types of practice substitution.

Trends in HPV vaccine administration and HPV vaccine coverage in children by race/ethnicity and socioeconomic status during the COVID-19 pandemic in an integrated health care system in California.

BACKGROUND: We sought to evaluate the trends of HPV vaccination between 03/2019-09/2021 and whether the impact of the COVID pandemic on HPV vaccination varied by race/ethnicity and neighborhood deprivation index (NDI). METHODS: Electronic medical records at Kaiser Permanente Southern California were used to assess monthly volume of HPV vaccine doses administered among children aged 9-12.9yrs, and up-to-date coverage (% vaccinated) by age 13 between 03/2019-09/2021. Modified Poisson models were used to evaluate the interactions between race/ethnicity, NDI and the pandemic periods on HPV vaccine coverage. RESULTS: HPV vaccine doses administered in 2020/2021 have returned to the 2019 level after the initial drop. The average up-to-date coverage in 05/2021-09/2021 (54.8%) remained lower than the pre-pandemic level (58.5%). The associations between race/ethnicity, NDI and HPV vaccine coverage did not vary due to the pandemic. CONCLUSION: HPV vaccine promotion efforts are needed to address COVID-19 pandemic's lasting impact on HPV vaccination coverage.

Potentially Harmful Medication Dispenses After a Fall or Hip Fracture: A Mixed Methods Study of a Commonly Used Quality Measure.

BACKGROUND: High-risk medication dispenses to patients with a prior fall or hip fracture represent a potentially dangerous disease-drug interaction among older adults. The research team quantified the prevalence, identified risk factors, and generated patient and provider insights into high-risk medication dispenses in a large, community-based integrated health system using a commonly used quality measure. METHODS: This was a mixed methods study with a convergent design combining a retrospective cohort study using electronic health record (EHR) data, individual interviews of primary care physicians, and a focus group of patient advisors. RESULTS: Of 113,809 patients ≥ 65 years with a fall/fracture in 2009-2015, 35.4% had a potentially harmful medication dispensed after their fall/fracture. Most medications were prescribed by primary care providers. Older age, male gender, and race/ethnicity other than non-Hispanic White were associated with a reduced risk of high-risk medication dispenses. Patients with a pre-fall/fracture medication dispense were substantially more likely to have a post-fall/fracture medication dispense (hazard ratio [HR] = 13.26, 95% confidence interval [CI] = 12.91-13.61). Both patients and providers noted that providers may be unaware of patient falls due to inconsistent assessments and patient reluctance to disclose falls. Providers also noted the lack of a standard location to document falls and limited decision support alerts within the EHR. CONCLUSION: High-risk medication dispenses are common among older patients with a history of falls/fractures. Future interventions should explore improved assessment and documentation of falls, decision support, clinician training strategies, patient educational resources, building trusting patient-clinician relationships to facilitate long-term medication discontinuation among persistent medication users, and a focus on fall prevention.

Effect of a Community-Based Medical Oncology Depression Screening Program on Behavioral Health Referrals Among Patients With Breast Cancer: A Randomized Clinical Trial.

Importance: Implementation of guideline-recommended depression screening in medical oncology remains challenging. Evidence suggests that multicomponent care pathways with algorithm-based referral and management are effective, yet implementation of sustainable programs remains limited and implementation-science guided approaches are understudied. Objective: To evaluate the effectiveness of an implementation-strategy guided depression screening program for patients with breast cancer in a community setting. Design, Setting, and Participants: A pragmatic cluster randomized clinical trial conducted within Kaiser Permanente Southern California (KPSC). The trial included 6 medical centers and 1436 patients diagnosed with new primary breast cancer who had a consultation with medical oncology between October 1, 2017, through September 30, 2018. Patients were followed up through study end date of May 31, 2019. Interventions: Six medical centers in Southern California participated and were randomized 1:1 to tailored implementation strategies (intervention, 3 sites, n = 744 patients) or education-only (control, 3 sites, n = 692 patients) groups. The program consisted of screening with the 9-item Patient Health Questionnaire (PHQ-9) and algorithm-based scoring and referral to behavioral health services based on low, moderate, or high score. Clinical teams at tailored intervention sites received program education, audit, and feedback of performance data and implementation facilitation, and clinical workflows were adapted to suit local context. Education-only controls sites received program education. Main Outcomes and Measures: The primary outcome was percent of eligible patients screened and referred (based on PHQ-9 score) at intervention vs control groups measured at the patient level. Secondary outcomes included outpatient health care utilization for behavioral health, primary care, oncology, urgent care, and emergency department. Results: All 1436 eligible patients were randomized at the center level (mean age, 61.5 years; 99% women; 18% Asian, 17% Black, 26% Hispanic, and 37% White) and were followed up to the end of the study, insurance disenrollment, or death. Groups were similar in demographic and tumor characteristics. For the primary outcome, 7.9% (59 of 744) of patients at tailored sites were referred compared with 0.1% (1 of 692) at education-only sites (difference, 7.8%; 95% CI, 5.8%-9.8%). Referrals to a behavioral health clinician were completed by 44 of 59 patients treated at the intervention sites (75%) intervention sites vs 1 of 1 patient at the education-only sites (100%). In adjusted models patients at tailored sites had significantly fewer outpatient visits in medical oncology (rate ratio, 0.86; 95% CI, 0.86-0.89; P = .001), and no significant difference in utilization of primary care, urgent care, and emergency department visits. Conclusions and Relevance: Among patients with breast cancer treated in community-based oncology practices, tailored strategies for implementation of routine depression screening compared with an education-only control group resulted in a greater proportion of referrals to behavioral care. Further research is needed to understand the clinical benefit and cost-effectiveness of this program. Trial Registration: ClinicalTrials.gov Identifier: NCT02941614.

Unlocking inaccessible historical genomes preserved in formalin.

Museum specimens represent an unparalleled record of historical genomic data. However, the widespread practice of formalin preservation has thus far impeded genomic analysis of a large proportion of specimens. Limited DNA sequencing from formalin-preserved specimens has yielded low genomic coverage with unpredictable success. We set out to refine sample processing methods and to identify specimen characteristics predictive of sequencing success. With a set of taxonomically diverse specimens collected between 1962 and 2006 and ranging in preservation quality, we compared the efficacy of several end-to-end whole genome sequencing workflows alongside a k-mer-based trimming-free read alignment approach to maximize mapping of endogenous sequence. We recovered complete mitochondrial genomes and up to 3× nuclear genome coverage from formalin-preserved tissues. Hot alkaline lysis coupled with phenol-chloroform extraction out-performed proteinase K digestion in recovering DNA, while library preparation method had little impact on sequencing success. The strongest predictor of DNA yield was overall specimen condition, which additively interacts with preservation conditions to accelerate DNA degradation. Here, we demonstrate a significant advance in capability beyond limited recovery of a small number of loci via PCR or target-capture sequencing. To facilitate strategic selection of suitable specimens for genomic sequencing, we present a decision-making framework that utilizes independent and nondestructive assessment criteria. Sequencing of formalin-preserved specimens will contribute to a greater understanding of temporal trends in genetic adaptation, including those associated with a changing climate. Our work enhances the value of museum collections worldwide by unlocking genomes of specimens that have been disregarded as a valid molecular resource.