Individuals Eligible for Lung Cancer Screening Less Likely to Receive Screening When Enrolled in Health Plans With Deductibles.

BACKGROUND: In 2015, the Centers for Medicare & Medicaid Services and commercial insurance plans began covering lung cancer screening (LCS) without patient cost-sharing for all plans. We explore the impact of enrolling into a deductible plan on the utilization of LCS services despite having no out-of-pocket cost requirement. METHODS: This retrospective study analyzed data from the Population-based Research to Optimize the Screening Process Lung Consortium. Our cohort included non-Medicare LCS-eligible individuals enrolled in managed care organizations between February 5, 2015, and February 28, 2019. We estimate a series of sequential logistic regression models examining utilization across the sequence of events required for baseline LCS. We report the marginal effects of enrollment into deductible plans compared with enrollment in no-deductible plans. RESULTS: The total effect of deductible plan enrollment was a 1.8 percentage-point (PP) decrease in baseline LCS. Sequential logistic regression results that explore each transition separately indicate deductible plan enrollment was associated with a 4.3 PP decrease in receipt of clinician visit, a 1.7 PP decrease in receipt of LCS order, and a 7.0 PP decrease in receipt of baseline LCS. Reductions persisted across all observable races and ethnicities. CONCLUSIONS: These findings suggest individuals enrolled in deductible plans are more likely to forgo preventive LCS services despite requiring no out-of-pocket costs. This result may indicate that increased cost-sharing is associated with suboptimal choices to forgo recommended LCS. Alternatively, this effect may indicate individuals enrolling into deductible plans prefer less health care utilization. Patient outreach interventions at the health plan level may improve LCS.

Did Access to Ambulatory Care Moderate the Associations Between Visit Mode and Ancillary Services Utilization Across the COVID-19 Pandemic Period?

BACKGROUND/OBJECTIVE: In recent years, 2 circumstances changed provider-patient interactions in primary care: the substitution of virtual (eg, video) for in-person visits and the COVID-19 pandemic. We studied whether access to care might affect patient fulfillment of ancillary services orders for ambulatory diagnosis and management of incident neck or back pain (NBP) and incident urinary tract infection (UTI) for virtual versus in-person visits. METHODS: Data were extracted from the electronic health records of 3 Kaiser Permanente Regions to identify incident NBP and UTI visits from January 2016 through June 2021. Visit modes were classified as virtual (Internet-mediated synchronous chats, telephone visits, or video visits) or in-person. Periods were classified as prepandemic [before the beginning of the national emergency (April 2020)] or recovery (after June 2020). Percentages of patient fulfillment of ancillary services orders were measured for 5 service classes each for NBP and UTI. Differences in percentages of fulfillments were compared between modes within periods and between periods within the mode to assess the possible impact of 3 moderators: distance from residence to primary care clinic, high deductible health plan (HDHP) enrollment, and prior use of a mail-order pharmacy program. RESULTS: For diagnostic radiology, laboratory, and pharmacy services, percentages of fulfilled orders were generally >70-80%. Given an incident NBP or UTI visit, longer distance to the clinic and higher cost-sharing due to HDHP enrollment did not significantly suppress patients' fulfillment of ancillary services orders. Prior use of mail-order prescriptions significantly promoted medication order fulfillments on virtual NBP visits compared with in-person NBP visits in the prepandemic period (5.9% vs. 2.0%, P=0.01) and in the recovery period (5.2% vs. 1.6%, P=0.02). CONCLUSIONS: Distance to the clinic or HDHP enrollment had minimal impact on the fulfillment of diagnostic or prescribed medication services associated with incident NBP or UTI visits delivered virtually or in-person; however, prior use of mail-order pharmacy option promoted fulfillment of prescribed medication orders associated with NBP visits.

Equitable implementation of S.A.F.E. Firearm: A multi-method pilot study.

Attention to health equity is critical in the implementation of firearm safety efforts. We present our operationalization of equity-oriented recommendations in preparation for launch of a hybrid effectiveness-implementation trial focused on firearm safety promotion in pediatric primary care as a universal suicide prevention strategy. In Step 1 of our process, pre-trial engagement with clinican partners and literature review alerted us that delivery of a firearm safety program may vary by patients' medical complexity, race, and ethnicity. In Step 2, we selected the Health Equity Implementation Framework to inform our understanding of contextual determinants (i.e., barriers and facilitators). In Step 3, we leveraged an implementation pilot across 5 pediatric primary care clinics in 2 health system sites to study signals of inequities. Eligible well-child visits for 694 patients and 47 clinicians were included. Our results suggested that medical complexity was not associated with program delivery. We did see potential signals of inequities by race and ethnicity but must interpret with caution. Though we did not initially plan to examine differences by sex assigned at birth, we discovered that clinicians may be more likely to deliver the program to parents of male than female patients. Seven qualitative interviews with clinicians provided additional context. In Step 4, we interrogated equity considerations (e.g., why and how do these inequities exist). In Step 5, we will develop a plan to probe potential inequities related to race, ethnicity, and sex in the fully powered trial. Our process highlights that prospective, rigorous, exploratory work is vital for equity-informed implementation trials.

Health Economics Research in Cancer Screening: Research Opportunities, Challenges, and Future Directions.

Cancer screening has long been considered a worthy public health investment. Health economics offers the theoretical foundation and research methodology to understand the demand- and supply-side factors associated with screening and evaluate screening-related policies and interventions. This article provides an overview of health economic theories and methods related to cancer screening and discusses opportunities for future research. We review 2 academic disciplines most relevant to health economics research in cancer screening: applied microeconomics and decision science. We consider 3 emerging topics: cancer screening policies in national as well as local contexts, "choosing wisely" screening practices, and targeted screening efforts for vulnerable subpopulations. We also discuss the strengths and weaknesses of available data sources and opportunities for methodological research and training. Recommendations to strengthen research infrastructure include developing novel data linkage strategies, increasing access to electronic health records, establishing curriculum and training programs, promoting multidisciplinary collaborations, and enhancing research funding opportunities.

Cancer Survivorship and Supportive Care Economics Research: Current Challenges and Next Steps.

BACKGROUND: Rapid growth in the number of cancer survivors raises numerous questions about health and economic outcomes among survivors along with their families, caregivers, and employers. Health economics theory and methods can contribute to many open questions to improve survivorship. METHODS: In this paper, we review key areas where more research is needed and describe strategies for improving data infrastructure, research funding, and capacity building to strengthen survivorship health economics research. CONCLUSIONS: Health economics has broadened an understanding of key supply- and demand-side factors that promote cancer survivorship. To ensure necessary research in survivorship health economics moving forward, we recommend dedicated funding, inclusion of health economics outcomes in primary data collection, and investments in secondary data sets.

Using economic evaluations in implementation science to increase transparency in costs and outcomes for organizational decision-makers.

BACKGROUND: Economic evaluations frequently are utilized to compare the value of different interventions in medicine and health in concrete terms. Implementation science also would benefit from the incorporation of economic evaluations, but such studies are rare in the literature. The National Cancer Institute has supported a special collection of articles focusing on economic evaluations in implementation science. Even when interventions are supported by substantial evidence, they are implemented infrequently in the field. Implementation costs are important determinants for whether organizational decision-makers choose to adopt an intervention and whether the implementation process is successful. Economic evaluations, such as cost-effectiveness analyses, can help organizational decision-makers choose between implementation approaches for evidence-based interventions by accounting for costs and succinctly presenting cost/benefit tradeoffs. MAIN TEXT: This manuscript presents a discussion of important considerations for incorporating economic evaluations into implementation science. First, the distinction between intervention and implementation costs is presented, along with an explanation of why the comprehensive representation of implementation costs is elusive. Then, the manuscript describes how economic evaluations in implementation science may differ from those in medicine and health intervention studies, especially in terms of determining the perspectives and outcomes of interest. Finally, referencing a scale-up trial of an evidence-based behavioral health intervention, concrete case examples of how cost data can be collected and used in economic evaluations targeting implementation, rather than clinical outcomes, are described. CONCLUSIONS: By gaining a greater understanding of the costs and economic impact associated with different implementation approaches, organizational decision-makers will have better transparency for future replication and scale-up. The use of economic evaluations can help to advance this understanding and provide researchers, purveyors or third-party intermediaries, and organizational decision-makers with essential information to facilitate implementation.

Patterns of Medical Care Cost by Service Type for Patients With Recurrent and De Novo Advanced Cancer.

OBJECTIVES: There is limited knowledge about the cost patterns of patients who receive a diagnosis of de novo and recurrent advanced cancers in the United States. METHODS: Data on patients who received a diagnosis of de novo stage IV or recurrent breast, colorectal, or lung cancer between 2000 and 2012 from 3 integrated health systems were used to estimate average annual costs for total, ambulatory, inpatient, medication, and other services during (1) 12 months preceding de novo or recurrent diagnosis (preindex) and (2) diagnosis month through 11 months after (postindex), from the payer perspective. Generalized linear regression models estimated costs adjusting for patient and clinical factors. RESULTS: Patients who developed a recurrence <1 year after their initial cancer diagnosis had significantly higher total costs in the preindex period than those with recurrence ≥1 year after initial diagnosis and those with de novo stage IV disease across all cancers (all P < .05). Patients with de novo stage IV breast and colorectal cancer had significantly higher total costs in the postindex period than patients with cancer recurrent in <1 year and ≥1 year (all P < .05), respectively. Patients in de novo stage IV and those with recurrence in ≥1 year experienced significantly higher postindex costs than the preindex period (all P < .001). CONCLUSIONS: Our findings reveal distinct cost patterns between patients with de novo stage IV, recurrent <1-year, and recurrent ≥1-year cancer, suggesting unique care trajectories that may influence resource use and planning. Future cost studies among patients with advanced cancer should account for de novo versus recurrent diagnoses and timing of recurrence to obtain estimates that accurately reflect these care pattern complexities.

Geospatial Disparities in the Treatment of Curable Breast Cancer Across the US.

IMPORTANCE: Patient factors help explain disparities in breast cancer treatments and outcomes. OBJECTIVE: To determine the extent to which geospatial variation in initial breast cancer care can be attributed to region vs patient factors with the aim of guiding quality improvement efforts. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective population-based cohort study from January 1, 2007, through December 31, 2016, using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database that included 31 571 patients diagnosed with stage I to III breast cancer from 2007 through 2013. Five metrics of care delivery were defined: stage I at diagnosis, chemotherapy receipt, radiation therapy receipt, endocrine therapy (ET) initiation (year 1), and ET continuation (years 3-5). Data analysis was performed from January to June 2021. EXPOSURES: Stage I diagnosis and treatment with chemotherapy, radiation therapy, or ET. MAIN OUTCOMES AND MEASURES: For each metric, total variance was attributed proportionally to 4 domains-random, patient factors (eg, age, race and ethnicity, socioeconomic status), region (health service area [HSA]), and unexplained-using hierarchical multivariable modeling. RESULTS: Of 31 571 total patients (median [IQR] age, 71 [68-75] years), 19 391 (61.4%) had stage I disease at diagnosis. Among eligible patients, 17 297 of 21 190 (81.6%) received radiation therapy, 7204 of 9903 (72.8%) received chemotherapy, 13 115 of 26 855 (48.8%) initiated ET, and 13 944 of 26 855 (52.1%) continued ET. Geospatial density (ie, heat) maps highlight regional performance patterns. For all 5 metrics, region/HSA explained more observed variation (24%-48%) than patient factors (1%-4%); the largest share of variation was unexplained (35%-54%). The metrics with the largest proportion of total variance attributed to region/HSA were ET initiation and continuation (28% and 39%, respectively). CONCLUSIONS AND RELEVANCE: In this cohort study, there was substantial unexplained geospatial variation in initial breast cancer care. The variance attributed to region/HSA was multifold larger than that explained by patient factors. The importance of patient factors such as race and ethnicity notwithstanding, future quality improvement efforts should focus on reducing unwarranted geospatial variation, especially including optimizing the delivery of ET in low-performing regions.

Cost-Effectiveness of a Web-Based Program for Residual Depressive Symptoms: Mindful Mood Balance.

OBJECTIVE: Mindful Mood Balance (MMB) is an effective Web-based program for residual depressive symptoms that prevents relapse among patients with partial recovery from major depressive episodes. This cost-effectiveness analysis was conducted from the health plan perspective alongside a pragmatic randomized controlled trial of MMB. METHODS: Adults were recruited from behavioral health and primary care settings in a large integrated health system and randomly assigned to MMB plus usual depression care (MMB+UDC) or UDC. Patients had at least one prior major depressive episode; a current score of 5-9 on the Patient Health Questionnaire-9, indicating residual depressive symptoms; and Internet access. Program costs included recruitment, coaching, and MMB licensing. Center for Medicare and Medicaid fee schedules were applied to electronic health record utilization data for psychotropic medications and psychiatric and psychotherapy visits. Effectiveness was measured as depression-free days (DFDs), converted from PHQ-9 scores collected monthly for 1 year. Incremental cost-effectiveness ratios were calculated with various sets of cost inputs. RESULTS: A total of 389 patients (UDC, N=210; MMB+UDC, N=179) had adequate follow-up PHQ-9 measures for inclusion. MMB+UDC patients had 29 more DFDs during follow-up. Overall, the incremental cost of MMB+UDC was $431.54 over 12 months. Incremental costs per DFD gained ranged from $9.63 for program costs only to $15.04 when psychiatric visits, psychotherapy visits, and psychotropic medications were included. CONCLUSIONS: MMB offers a cost-effective Web-based program for reducing residual depressive symptoms and preventing relapse. Health systems should consider adopting MMB as adjunctive to traditional mental health care services.

Can digital communication technology reduce health system personnel time? An evaluation of personnel requirements and costs in a randomized controlled trial.

Use of digital communication technologies (DCT) shows promise for enhancing outcomes and efficiencies in asthma care management. However, little is known about the impact of DCT interventions on healthcare personnel requirements and costs, thus making it difficult for providers and health systems to understand the value of these interventions. This study evaluated the differences in healthcare personnel requirements and costs between usual asthma care (UC) and a DCT intervention (Breathewell) aimed at maintaining guidelines-based asthma care while reducing health care staffing requirements. We used data from a pragmatic, randomized controlled trial conducted in a large integrated health system involving 14,978 patients diagnosed with asthma. To evaluate differences in staffing requirements and cost between Breathewell and UC needed to deliver guideline-based care we used electronic health record (EHR) events, provider time tracking surveys, and invoicing. Differences in cost were reported at the patient and health system level. The Breathewell intervention significantly reduced personnel requirements with a larger percentage of participants requiring no personnel time (45% vs. 5%, p < .001) and smaller percentage of participants requiring follow-up outreach (44% vs. 68%, p < .001). Extrapolated to the total health system, cost for the Breathewell intervention was $16,278 less than usual care. The intervention became cost savings at a sample size of at least 957 patients diagnosed with asthma. At the population level, using DCT to compliment current asthma care practice presents an opportunity to reduce healthcare personnel requirements while maintaining population-based asthma control measures.

A Quasi-Experimental Analysis of Lethal Means Assessment and Risk for Subsequent Suicide Attempts and Deaths.

BACKGROUND: Counseling on access to lethal means is highly recommended for patients with suicide risk, but there are no formal evaluations of its impact in real-world settings. OBJECTIVE: Evaluate whether lethal means assessment reduces the likelihood of suicide attempt and death outcomes. DESIGN: Quasi-experimental design using an instrumental variable to overcome confounding due to unmeasured patient characteristics that could influence provider decisions to deliver lethal means assessment. SETTING: Kaiser Permanente Colorado, an integrated health system serving over 600,000 members, with comprehensive capture of all electronic health records, medical claims, and death information. PARTICIPANTS: Adult patients who endorsed suicide ideation on the Patient Health Questionnaire-9 (PHQ-9) depression screener administered in behavioral health and primary care settings from 2010 to 2016. INTERVENTIONS: Provider documentation of lethal means assessment in the text of clinical notes, collected using a validated Natural Language Processing program. MEASUREMENTS: Main outcome was ICD-9 or ICD-10 codes for self-inflicted injury or suicide death within 180 days of index PHQ-9 event. RESULTS: We found 33% of patients with suicide ideation reported on the PHQ-9 received lethal means assessment in the 30 days following identification. Lethal means assessment reduced the risk of a suicide attempt or death within 180 days from 3.3 to 0.83% (p = .034, 95% CI = .069-.9). LIMITATIONS: Unmeasured suicide prevention practices that co-occur with lethal means assessment may contribute to the effects observed. CONCLUSIONS: Clinicians should expand the use of counseling on access to lethal means, along with co-occurring suicide prevention practices, to all patients who report suicide ideation.

Evaluating Lung Cancer Screening Across Diverse Healthcare Systems: A Process Model from the Lung PROSPR Consortium.

Numerous organizations, including the United States Preventive Services Task Force, recommend annual lung cancer screening (LCS) with low-dose CT for high risk adults who meet specific criteria. Despite recommendations and national coverage for screening eligible adults through the Centers for Medicare and Medicaid Services, LCS uptake in the United States remains low (<4%). In recognition of the need to improve and understand LCS across the population, as part of the larger Population-based Research to Optimize the Screening PRocess (PROSPR) consortium, the NCI (Bethesda, MD) funded the Lung PROSPR Research Consortium consisting of five diverse healthcare systems in Colorado, Hawaii, Michigan, Pennsylvania, and Wisconsin. Using various methods and data sources, the center aims to examine utilization and outcomes of LCS across diverse populations, and assess how variations in the implementation of LCS programs shape outcomes across the screening process. This commentary presents the PROSPR LCS process model, which outlines the interrelated steps needed to complete the screening process from risk assessment to treatment. In addition to guiding planned projects within the Lung PROSPR Research Consortium, this model provides insights on the complex steps needed to implement, evaluate, and improve LCS outcomes in community practice.

Melanoma incidence, recurrence, and mortality in an integrated healthcare system: A retrospective cohort study.

BACKGROUND: Numerous studies have examined melanoma incidence and survival, but studies on melanoma recurrence are limited. We examined melanoma incidence, recurrence, and mortality among members of Kaiser Permanente Colorado (KPCO) between January 1, 2000 and December 31, 2015. METHODS: Age-adjusted incidence rates were computed to examine trends among KPCO members aged 21 years and older. Cox proportional hazards models were used to examine factors associated with recurrence and mortality. RESULTS: Our cohort included 1931 cases of invasive melanoma. Incidence rates increased over time and were higher than SEER rates; however, the increase was limited to early stage disease. In multivariable models, stage at initial diagnosis, gender, and age were associated with melanoma recurrence. Men were more likely to have a recurrence than women (adjusted hazard ratio [HR]: 1.70, 95% confidence interval [CI]: 1.19-2.43), and for each decade of increasing age, the adjusted HR = 1.20 (95% CI: 1.06-1.37). Factors associated with all-cause mortality included stage (HR = 12.87, 95% CI: 6.63-24.99, for stage IV vs stage I), male gender (HR = 1.42, 95% CI: 1.12-1.79), older age at diagnosis, lower socioeconomic status, and comorbidity index. For melanoma-specific mortality, results were similar, with one exception: age was not associated with melanoma-specific death (HR = 1.09, 95% CI: 0.94-1.25, P = 0.253). CONCLUSIONS: Data derived from an insured patient population, such as KPCO, have the potential to enhance our understanding of emerging trends in melanoma. This is the first population-based study in the United States to examine patient characteristics associated with risk of recurrence. Men have an increased risk of both recurrence and death, and thus may benefit from more intensive follow-up than women.

Spending for Advanced Cancer Diagnoses: Comparing Recurrent Versus De Novo Stage IV Disease.

PURPOSE: Spending for patients with advanced cancer is substantial. Past efforts to characterize this spending usually have not included patients with recurrence (who may differ from those with de novo stage IV disease) or described which services drive spending. METHODS: Using SEER-Medicare data from 2008 to 2013, we identified patients with breast, colorectal, and lung cancer with either de novo stage IV or recurrent advanced cancer. Mean spending/patient/month (2012 US dollars) was estimated from 12 months before to 11 months after diagnosis for all services and by the type of service. We describe the absolute difference in mean monthly spending for de novo versus recurrent patients, and we estimate differences after controlling for type of advanced cancer, year of diagnosis, age, sex, comorbidity, and other factors. RESULTS: We identified 54,982 patients with advanced cancer. Before diagnosis, mean monthly spending was higher for recurrent patients (absolute difference: breast, $1,412; colorectal, $3,002; lung, $2,805; all P < .001), whereas after the diagnosis, it was higher for de novo patients (absolute difference: breast, $2,443; colorectal, $4,844; lung, $2,356; all P < .001). Spending differences were driven by inpatient, physician, and hospice services. Across the 2-year period around the advanced cancer diagnosis, adjusted mean monthly spending was higher for de novo versus recurrent patients (spending ratio: breast, 2.39 [95% CI, 2.05 to 2.77]; colorectal, 2.64 [95% CI, 2.31 to 3.01]; lung, 1.46 [95% CI, 1.30 to 1.65]). CONCLUSION: Spending for de novo cancer was greater than spending for recurrent advanced cancer. Understanding the patterns and drivers of spending is necessary to design alternative payment models and to improve value.

Implementing Health Care Technology Research into Practice to Improve Adult Asthma Management.

BACKGROUND: Use of health technology has shown potential to improve asthma adherence and outcomes. Few studies have looked at the implementation of such research within larger asthma populations. OBJECTIVE: This report examines the process of translating results from a pragmatic trial using speech recognition (SR) in children with persistent asthma into the standard operating procedure within a large health maintenance organization. Medication adherence and outcomes in adults with asthma were examined. METHODS: The SR protocol was implemented for the total Kaiser Permanente Colorado (KPCO) patient population of 480,142, of whom 36,356 had asthma. Patients had persistent asthma, filled 1 or more inhaled corticosteroid prescriptions in the prior 6 months, and remained continuously enrolled with KPCO for 2 years. Documented exacerbations included the presence of a hospitalization, emergency department visit, or course of oral corticosteroid where asthma was the principal diagnosis. Adherence and exacerbation events were compared 1 year before and 1 year after intervention for 4,510 adults aged 19 to 64. RESULTS: Patient adherence demonstrated a small but significant improvement from 39.5% to 41.7% (P < .0001). Although not significant, data trends suggested greater improvement for patients with lower socioeconomic status. When an outlier month was removed from both the pre- and postintervention time periods, courses of oral corticosteroids decreased. Emergency department visits and hospitalizations were infrequent in both time periods and did not decrease over time. CONCLUSIONS: A low-cost SR intervention reminding patients to fill and take their daily controller asthma medication can improve treatment adherence and decrease the need for oral corticosteroids due to asthma exacerbations, but not decrease emergency department visits or hospitalizations.

Cancer Survivorship and Employment: Intersection of Oral Agents, Changing Workforce Dynamics, and Employers' Perspectives.

The ability to continue employment during and following cancer diagnosis and treatment is critical to working-age cancer survivors. Prolonged survival combined with concerns of the financial burden associated with high-cost therapies makes the mitigation of work-related consequences all the more relevant, particularly in light of recent workforce trends and evolving employment dynamics. Research that integrates the needs of survivors, employers, and the workforce is required so that advancements are made to support employed cancer survivors. In this commentary, we present four priorities for research to advance what is known about the employment effects of cancer: 1) data needed to understand the impact of emerging treatments and their influence on employment and job performance; 2) cancer survivors in the changing work environment with respect to contractual arrangements and employment in small and medium-sized firms; 3) employers' perspectives and approaches to implementing workplace policies for cancer survivors; and 4) the development of feasible, scalable, and sustainable workplace interventions that can be implemented to address these issues. The confluence of these factors makes a strong argument for research to advance what is known and what can be done about the employment consequences of cancer.

Estimating the Impact of Diabetes Mellitus on Worker Productivity Using Self-Report, Electronic Health Record and Human Resource Data.

OBJECTIVE: We assessed the relationship between diabetes mellitus (DM) and measures of worker productivity, direct health care costs, and costs associated with lost productivity (LP) among health care industry workers across two integrated health care systems. METHODS: We used data from the Value Based Benefit Design Health and Wellness Study Phase II (VBD), a prospective study of employees surveyed across health systems. Survey and health care utilization data were linked to estimate LP and health care utilization costs. RESULTS: Mean marginal lost productive time per week was 0.56 hours higher for respondents with DM. Mean adjusted monthly total health care utilization costs were $467 higher for respondents with DM. CONCLUSION: The impact of DM is reflected in higher rates of LP and higher indirect costs for employers related to LP and higher health care resource use.

Medical Care Costs for Recurrent versus De Novo Stage IV Cancer by Age at Diagnosis.

OBJECTIVE: To address the knowledge gap regarding medical care costs for advanced cancer patients, we compared costs for recurrent versus de novo stage IV breast, colorectal, and lung cancer patients. DATA SOURCES/STUDY SETTING: Virtual Data Warehouse (VDW) information from three Kaiser Permanente regions: Colorado, Northwest, and Washington. STUDY DESIGN: We identified patients aged ≥21 with de novo or recurrent breast (nde novo  = 352; nrecurrent  = 765), colorectal (nde novo  = 1,072; nrecurrent  = 542), and lung (nde novo  = 4,041; nrecurrent  = 340) cancers diagnosed 2000-2012. We estimated average total monthly and annual costs in the 12 months preceding, month of, and 12 months following the index de novo/recurrence date, stratified by age at diagnosis (<65, ≥65). Generalized linear repeated-measures models controlled for demographics and comorbidity. PRINCIPAL FINDINGS: In the pre-index period, monthly costs were higher for recurrent than for de novo breast (<65: +$2,431; ≥65: +$1,360), colorectal (<65: +$3,219; ≥65: +$2,247), and lung cancer (<65: +$3,086; ≥65: +$2,260) patients. Conversely, during the index and post-index periods, costs were higher for de novo patients. Average total annual pre-index costs were five- to ninefold higher for recurrent versus de novo patients <65. CONCLUSIONS: Cost differences by type of advanced cancer and by age suggest heterogeneous patterns of care that merit further investigation.

Development, Validation, and Dissemination of a Breast Cancer Recurrence Detection and Timing Informatics Algorithm.

Background: This study developed, validated, and disseminated a generalizable informatics algorithm for detecting breast cancer recurrence and timing using a gold standard measure of recurrence coupled with data derived from a readily available common data model that pools health insurance claims and electronic health records data. Methods: The algorithm has two parts: to detect the presence of recurrence and to estimate the timing of recurrence. The primary data source was the Cancer Research Network Virtual Data Warehouse (VDW). Sixteen potential indicators of recurrence were considered for model development. The final recurrence detection and timing models were determined, respectively, by maximizing the area under the ROC curve (AUROC) and minimizing average absolute error. Detection and timing algorithms were validated using VDW data in comparison with a gold standard recurrence capture from a third site in which recurrences were validated through chart review. Performance of this algorithm, stratified by stage at diagnosis, was compared with other published algorithms. All statistical tests were two-sided. Results: Detection model AUROCs were 0.939 (95% confidence interval [CI] = 0.917 to 0.955) in the training data set (n = 3370) and 0.956 (95% CI = 0.944 to 0.971) and 0.900 (95% CI = 0.872 to 0.928), respectively, in the two validation data sets (n = 3370 and 3961, respectively). Timing models yielded average absolute prediction errors of 12.6% (95% CI = 10.5% to 14.5%) in the training data and 11.7% (95% CI = 9.9% to 13.5%) and 10.8% (95% CI = 9.6% to 12.2%) in the validation data sets, respectively, and were statistically significantly lower by 12.6% (95% CI = 8.8% to 16.5%, P < .001) than those estimated using previously reported timing algorithms. Similar covariates were included in both detection and timing algorithms but differed substantially from previous studies. Conclusions: Valid and reliable detection of recurrence using data derived from electronic medical records and insurance claims is feasible. These tools will enable extensive, novel research on quality, effectiveness, and outcomes for breast cancer patients and those who develop recurrence.