Validation of electronic data on chemotherapy and hormone therapy use in HMOs

Association of systemic therapy with survival among adults with advanced non-small cell lung cancer

Background

Uptake of new systemic therapy treatments among patients with advanced non-small cell lung cancer (NSCLC) occurred rapidly after FDA approval. Few studies have characterized the association of these therapies on survival in community settings. We assessed survival by type of systemic therapy received among patients diagnosed with advanced NSCLC who were treated in community-based settings.

Methods

In this retrospective cohort, patients diagnosed with de novo stage IV NSCLC between March 2012 and December 2020 were followed through December 31, 2021. Survival was ascertained with restricted mean survival time from treatment receipt through 12 and 60 months and compared by RMST differences adjusting for demographic and tumor characteristics. Trends in one-year survival probabilities were assessed using joinpoint regression.

Results

Of 945 patients receiving systemic therapy, 46% received cytotoxic chemotherapy (Chemo-Only), 15% bevacizumab +/- Chemo, 22% immunotherapy +/- Chemo, and 16% targeted therapies. Median days from diagnosis to treatment ranged from 32 to 42. Compared to those receiving Chemo-Only, patients receiving immunotherapy +/- Chemo survived 1.4 months longer [95% confidence interval (CI): 0.5 to 2.3 months; P=0.002] and 3.2 months longer (95% CI: -1.4 to 7.9 months; P=0.18) through 12 and 60 months follow-up, respectively. Relative to those receiving Chemo-Only, patients receiving targeted therapies survived 1.6 months longer (95% CI: 0.7 to 2.5 months; P<0.001) and 5.5 months longer (95% CI: 0.7 to 10.4 months; P=0.02) through 12 and 60 months follow-up. One-year survival significantly increased from 30% to 59% between 2012 and 2020 (P=0.007).

Conclusions

We found patients receiving targeted therapies and immunotherapy +/- Chemo survived longer than those on Chemo-Only. One-year survival probabilities significantly increased between 2012 and 2020. Additional research is needed to better understand the potential benefits and harms, including patient adverse events and financial toxicity.

Uptake of novel systemic therapy: Real world patterns among adults with advanced non-small cell lung cancer

INTRODUCTION/BACKGROUND

Systemic treatment for advanced non-small cell lung cancer (NSCLC) is shifting from platinum-based chemotherapy to immunotherapy and targeted therapies associated with improved survival in clinical trials. As new therapies are approved for use, examining variations in use for treating patients in community practice can generate additional evidence as to the magnitude of their benefit.

PATIENTS AND METHODS

We identified 1,442 patients diagnosed with de novo stage IV NSCLC between 3/1/2012 and 12/31/2020. Patient characteristics and treatment patterns are described overall and by type of first- and second-line systemic therapy received. Prevalence ratios estimate the association of patient and tumor characteristics with receipt of first-line therapy.

RESULTS

Within 180 days of diagnosis, 949 (66%) patients received first-line systemic therapy, increasing from 53% in 2012 to 71% in 2020 (p = 0.0004). The proportion of patients receiving first-line immunotherapy+/-chemotherapy (IMO) increased from 14%-66% (p<0.0001). Overall, 380 (26%) patients received both first- and second-line treatment, varying by year between 16%-36% (p = 0.18). The proportion of patients receiving second-line IMO increased from 13%-37% (p<0.0001). Older age and current smoking status were inversely associated with receipt of first-line therapy. Higher BMI, receipt of radiation, and diagnosis year were positively associated with receipt of first-line therapy. No association was found for race, ethnicity, or socioeconomic status.

CONCLUSION

The proportion of advanced NSCLC patients receiving first- and second-line treatment increased over time, particularly for IMO treatments. Additional research is needed to better understand the impact of these therapies on patient outcomes, including short-term, long-term, and financial toxicities.

MICROABSTRACT

Systemic treatment for non-small cell lung cancer (NSCLC) is shifting from platinum-based therapies to immunotherapy and targeted therapies. Using de novo stage IV NSCLC patients identified from 4 healthcare systems, we examine trends in systemic therapy. We saw an increase in the portion of patients receiving any systemic therapy and a sharp increase in the proportion of patients receiving immunotherapy.

Validity of Italian administrative healthcare data in describing the real-world utilization of infusive antineoplastic drugs: the study case of rituximab use in patients treated at the University Hospital of Siena for onco-haematological indications

Introduction

Italian administrative healthcare databases are frequently used for studies on real-world drug utilization. However, there is currently a lack of evidence on the accuracy of administrative data in describing the use of infusive antineoplastics. In this study, we used rituximab as a case study to investigate the validity of the regional administrative healthcare database of Tuscany (RAD) in describing the utilization of infusive antineoplastics.

Methods

We identified patients aged 18 years or older who had received ≥1 rituximab administration between 2011 and 2014 in the onco-haematology ward of the University Hospital of Siena. We retrieved this information from the Hospital Pharmacy Database (HPD-UHS) and linked the person-level information to RAD. Patients who had received ≥1dispensing of rituximab, single administration episodes, and patients treated for non-Hodgkin Lymphoma (nHL) or Chronic Lymphocytic Leukemia (CLL) were identified in RAD and validated using HPD-UHS as the reference standard. We identified the indications of use using algorithms based on diagnostic codes (ICD9CM codes, nHL=200*, 202*; CLL=204.1). We tested 22 algorithms of different complexity for each indication of use and calculated sensitivity and positive predictive value (PPV), with 95% confidence intervals (95%CI), as measures of validity.

Results

According to HPD-UHS, 307 patients received rituximab for nHL (N=174), CLL (N=21), or other unspecified indications (N=112) in the onco-haematology ward of the University Hospital of Siena. We identified 295 rituximab users in RAD (sensitivity=96.1%), but PPV could not be assessed due to missing information in RAD on dispensing hospital wards. We identified individual rituximab administration episodes with sensitivity=78.6% [95%CI: 76.4-80.6] and PPV=87.6% [95%CI: 86.1-89.2]. Sensitivity of algorithms tested for identifying nHL and CLL ranged from 87.7% to 91.9% for nHL and from 52.4% to 82.7% for CLL. PPV ranged from 64.7% to 66.1% for nHL and from 32.4% to 37.5% for CLL.

Discussion

Our findings suggest that RAD is a very sensitive source of information for identifying patients who received rituximab for onco-haematological indications. Single administration episodes were identified with good-to-high accuracy. Patients receiving rituximab for nHL were identified with high sensitivity and acceptable PPV, while the validity for CLL was suboptimal.

Identification of cancer chemotherapy regimens and patient cohorts in administrative claims: challenges, opportunities, and a proposed algorithm

BACKGROUND

Real-world evidence is a valuable source of information in healthcare. This study describes the challenges and successes during algorithm development to identify cancer cohorts and multi-agent chemotherapy regimens from claims data to perform a comparative effectiveness analysis of granulocyte colony stimulating factor (G-CSF) use.

METHODS

Using the Biologics and Biosimilars Collective Intelligence Consortium's Distributed Research Network, we iteratively developed and tested a de novo algorithm to accurately identify patients by cancer diagnosis, then extract chemotherapy and G-CSF administrations for a retrospective study of prophylactic G-CSF.

RESULTS

After identifying patients with cancer and subsequent chemotherapy exposures, we observed only 12% of patients with cancer received chemotherapy, which is fewer than expected based on prior analyses. Therefore, we reversed the initial inclusion criteria to identify chemotherapy receipt, then prior cancer diagnosis, which increased the number of patients from 2,814 to 3,645, or 68% of patients receiving chemotherapy had diagnoses of interest. Additionally, we excluded patients with cancer diagnoses that differed from those of interest in the 183 days before the index date of G-CSF receipt, including early-stage cancers without G-CSF or chemotherapy exposure. By removing this criterion, we retained 77 patients who were previously excluded. Finally, we incorporated a 5-day window to identify all chemotherapy drugs administered (excluding oral prednisone and methotrexate, as these medications may be used for other non-malignant conditions) as patients may fill oral prescriptions days to weeks prior to infusion. This increased the number of patients with chemotherapy exposures of interest to 6,010. The final cohort of included patients, based on G-CSF exposure, increased from 420 from the initial algorithm to 886 using the final algorithm.

CONCLUSIONS

Medications used for multiple indications, sensitivity and specificity of administrative codes, and relative timing of medication exposure must all be evaluated to identify patient cohorts receiving chemotherapy from claims data.

Accuracy of tumor registry versus pharmacy dispensings for breast cancer adjuvant endocrine therapy

PURPOSE

Accounting for endocrine therapy use for breast cancer treatment is important for studies of survivorship. We evaluated the accuracy of Surveillance, Epidemiology, and End Results (SEER) breast cancer endocrine therapy data compared with pharmacy dispensings from an integrated health system.

METHODS

We included women with non-metastatic hormone receptor positive primary breast cancer diagnosed between 1995 and 2017 enrolled in Kaiser Permanente Washington, linking their data with SEER. We used pharmacy dispensings for endocrine therapy within one year following diagnosis as our reference standard. We calculated kappa (concordance), positive predictive value (PPV), and negative predictive values (NPV) overall and stratified by woman and tumor characteristics of interest.

RESULTS

Of 5,055 women, mean age at diagnosis was 62 years (interquartile range = 53-71); 53% had localized stage, 56% received lumpectomy with radiation, and 31% received chemotherapy. SEER data alone identified 67% of women as having received endocrine therapy; this increased to 75% with pharmacy dispensings. SEER's concordance with pharmacy dispensings was 0.68 (PPV = 91%; NPV = 76%). PPV did not vary by tumor or women characteristics; however, NPV declined with younger age at diagnosis (64% in < 45 years vs. 86% in 75+ years), increasing tumor stage (49% in regional stage vs. 91% in DCIS), and chemotherapy treatment (41% in those with chemotherapy vs. 83% in those without chemotherapy).

CONCLUSION

Pharmacy dispensings enable more complete endocrine therapy capture, particularly in women with more advanced tumors or who receive chemotherapy. We determined woman, tumor, and treatment characteristics that contribute to underascertainment of endocrine therapy use in tumor registries.

Developing an algorithm across integrated healthcare systems to identify a history of cancer using electronic medical records

OBJECTIVE

Tumor registries in integrated healthcare systems (IHCS) have high precision for identifying incident cancer but often miss recently diagnosed cancers or those diagnosed outside of the IHCS. We developed an algorithm using the electronic medical record (EMR) to identify people with a history of cancer not captured in the tumor registry to identify adults, aged 40-65 years, with no history of cancer.

MATERIALS AND METHODS

The algorithm was developed at Kaiser Permanente Colorado, and then applied to 7 other IHCS. We included tumor registry data, diagnosis and procedure codes, chemotherapy files, oncology encounters, and revenue data to develop the algorithm. Each IHCS adapted the algorithm to their EMR data and calculated sensitivity and specificity to evaluate the algorithm's performance after iterative chart review.

RESULTS

We included data from over 1.26 million eligible people across 8 IHCS; 55 601 (4.4%) were in a tumor registry, and 44848 (3.5%) had a reported cancer not captured in a registry. The common attributes of the final algorithm at each site were diagnosis and procedure codes. The sensitivity of the algorithm at each IHCS was 90.65%-100%, and the specificity was 87.91%-100%.

DISCUSSION

Relying only on tumor registry data would miss nearly half of the identified cancers. Our algorithm was robust and required only minor modifications to adapt to other EMR systems.

CONCLUSION

This algorithm can identify cancer cases regardless of when the diagnosis occurred and may be useful for a variety of research applications or quality improvement projects around cancer care.

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.

The Adolescent and Young Adult (AYA) Horizon Study: An AYA Cancer Survivorship Cohort

BACKGROUND

In the United States, >45,000 adolescent and young adult (AYA) women are diagnosed with cancer annually. Reproductive issues are critically important to AYA cancer survivors, but insufficient information is available to address their concerns. The AYA Horizon Study was initiated to contribute high-quality, contemporary evidence on reproductive outcomes for female cancer survivors in the United States.

METHODS

The study cohort includes women diagnosed with lymphoma, breast, melanoma, thyroid, or gynecologic cancer (the five most common cancers among women ages 15-39 years) at three study sites: the state of North Carolina and the Kaiser Permanente health systems in Northern and Southern California. Detailed information on cancer treatment, fertility procedures, and pregnancy (e.g., miscarriage, live birth) and birth (e.g., birth weight, gestational length) outcomes are leveraged from state cancer registries, health system databases and administrative insurance claims, national data on assisted reproductive technology procedures, vital records, and survey data.

RESULTS

We identified a cohort of 11,072 female AYA cancer survivors that includes >1,200 African American women, >1,400 Asian women, >1,600 Medicaid enrollees, and >2,500 Hispanic women using existing data sources. Active response to the survey component was low overall (N = 1,679), and notably lower among minority groups compared with non-Hispanic white women.

CONCLUSIONS

Passive data collection through linkage reduces participant burden and prevents systematic cohort attrition or potential selection biases that can occur with active participation requirements.

IMPACT

The AYA Horizon study will inform survivorship planning as fertility and parenthood gain increasing recognition as key aspects of high-quality cancer care.

Hospitalization Risk During Chemotherapy for Advanced Cancer: Development and Validation of Risk Stratification Models Using Real-World Data

PURPOSE

Hospitalizations are a common occurrence during chemotherapy for advanced cancer. Validated risk stratification tools could facilitate proactive approaches for reducing hospitalizations by identifying at-risk patients.

PATIENTS AND METHODS

We assembled two retrospective cohorts of patients receiving chemotherapy for advanced nonhematologic cancer; cohorts were drawn from three integrated health plans of the Cancer Research Network. We used these cohorts to develop and validate logistic regression models estimating 30-day hospitalization risk after chemotherapy initiation. The development cohort included patients in two health plans from 2005 to 2013. The validation cohort included patients in a third health plan from 2007 to 2016. Candidate predictor variables were derived from clinical data in institutional data warehouses. Models were validated based on the C-statistic, positive predictive value, and negative predictive value. Positive predictive value and negative predictive value were calculated in reference to a prespecified risk threshold (hospitalization risk ≥ 18.0%).

RESULTS

There were 3,606 patients in the development cohort (median age, 63 years) and 634 evaluable patients in the validation cohort (median age, 64 years). Lung cancer was the most common diagnosis in both cohorts (26% and 31%, respectively). The selected risk stratification model included two variables: albumin and sodium. The model C-statistic in the validation cohort was 0.69 (95% CI, 0.62 to 0.75); 39% of patients were classified as high risk according to the prespecified threshold; 30-day hospitalization risk was 24.2% (95% CI, 19.9% to 32.0%) in the high-risk group and 8.7% (95% CI, 6.1% to 12.0%) in the low-risk group.

CONCLUSION

A model based on data elements routinely collected during cancer treatment can reliably identify patients at high risk for hospitalization after chemotherapy initiation. Additional research is necessary to determine whether this model can be deployed to prevent chemotherapy-related hospitalizations.

Guideline-recommended incorporation of biomarker testing results in metastatic colorectal cancer therapy

Aim: To describe pharmacogenomic tumor testing among patients with metastatic colorectal cancer. Methods: This was a retrospective study of patients with metastatic colorectal cancer diagnosed between 1 January 2014 and 30 June 2018. Patients were assessed for pharmacogenomic testing and appropriateness of chemotherapy use. Results: Overall, 112/167 (67.1%) patients had at least one of the three recommended pharmacogenomic tests and 41/167 (24.6%) had all tests. Twenty-four patients were treated with cetuximab with 8/167 (4.7%) identified as being treated with a RAS variant (n = 3) or incomplete testing (n = 5); thus, not in accordance with guidelines. Conclusion: Uptake of testing was variable but increased over time; however, a small proportion of patients received cetuximab with a variant or not all recommended tests being performed.

Real-world Clinical Implementation of Lung Cancer Screening-Evaluating Processes to Improve Screening Guidelines-Concordance

BACKGROUND

Lung cancer screening (LCS) requires complex processes to identify eligible patients, provide appropriate follow-up, and manage findings. It is unclear whether LCS in real-world clinical settings will realize the same benefits as the National Lung Screening Trial (NLST).

OBJECTIVE

To evaluate the impact of process modifications on compliance with LCS guidelines during LCS program implementation, and to compare patient characteristics and outcomes with those in NLST.

DESIGN

Retrospective cohort study.

SETTING

Kaiser Permanente Colorado (KPCO), a non-profit integrated healthcare system.

PATIENTS

A total of 3375 patients who underwent a baseline lung cancer screening low-dose computed tomography (S-LDCT) scan between May 2014 and June 2017.

MEASUREMENTS

Among those receiving an S-LDCT, proportion who met guidelines-based LCS eligibility criteria before and after LCS process modifications, differences in patient characteristics and outcomes between KPCO LCS patients and the NLST cohort, and factors associated with a positive screen.

RESULTS

After modifying LCS eligibility confirmation processes, patients receiving S-LDCT who met guidelines-based LCS eligibility criteria increased from 45.6 to 92.7% (P < 0.001). Prior to changes, patients were older (68 vs. 67 years; P = 0.001), less likely to be current smokers (51.3% vs. 52.5%; P < 0.001), and less likely to have a ≥ 30-pack-year smoking history (50.0% vs. 95.3%; P < 0.001). Compared with NLST participants, KPCO LCS patients were older (67 vs. 60 years; P < 0.001), more likely to currently smoke (52.3% vs. 48.1%; P < 0.001), and more likely to have pulmonary disease. Among those with a positive baseline S-LDCT, the lung cancer detection rate was higher at KPCO (9.4% vs. 3.8%; P < 0.001) and was positively associated with prior pulmonary disease.

CONCLUSION

Adherence to LCS guidelines requires eligibility confirmation procedures. Among those with a positive baseline S-LDCT, comorbidity burden and lung cancer detection rates were notably higher than in NLST, suggesting that the study of long-term outcomes in patients undergoing LCS in real-world clinical settings is warranted.

Algorithm to Identify Systemic Cancer Therapy Treatment Using Structured Electronic Data

PURPOSE

With the shift in the majority of oncology clinical care in the United States from paper records to electronic health records, researchers need efficient and validated processes to obtain accurate data about the entire treatment history of patients diagnosed with cancer. The objective of this study was to develop and validate an algorithm that is agnostic to the source of data but that can identify specific regimens in the entire course of systemic therapy treatment for patients diagnosed with breast, colorectal, or lung cancer.

METHODS

A cohort of patients with incident breast, colorectal, and lung cancer were randomly distributed into six groups. The algorithm was iteratively modified, and the performance was assessed until no additional modifications could be identified in the first three groups. The performance of the algorithm was confirmed in the three groups that remained.

RESULTS

The final model produced ranges of sensitivity between 97.2% and 100% for first-course systemic therapy across all cancers, with a false-positive rate of 0%. The algorithm matched the exact number of courses and the exact regimens of systemic therapy agents as captured by infusion, pharmacy, and procedure electronic medical record data for all courses of therapy 88% to 100% of the time.

CONCLUSION

Use of our validated algorithm that characterizes entire courses of systemic therapy treatment in patients diagnosed with breast, colorectal, and lung cancer will allow researchers in a variety of settings to conduct comparative effectiveness studies related to the uptake, safety, outcomes, and costs associated with the use of both novel and standard regimens.

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.

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.

Health care improvement and survivorship priorities of colorectal cancer survivors: findings from the PORTAL colorectal cancer cohort survey

PURPOSE

Few population-level surveys have explored patient-centered priorities for improving colorectal cancer survivors' care. Working with patients, we designed a survey to identify care improvement and survivorship priorities.

METHODS

We surveyed a random sample of 4000 patients from a retrospective, population-based cohort of colorectal cancer survivors diagnosed during 2010-2014. The survey included two multiple response questions: "What would you have changed about your cancer diagnosis and treatment experience?" and "What are your biggest health or lifestyle concerns (other than having cancer) since being diagnosed?" Multivariable regression identified characteristics associated with endorsement of health care experience and survivorship concerns.

RESULTS

Survey response rate was 50.2% (2000/3986). Fifty-three percent reported at least one unmet need, most commonly for more information about life after treatment (26.7%). Survivors of rectal cancer reported more needs than respondents with colon cancer; persons of color reported more needs than non-Hispanic whites; individuals without high school diplomas reported more needs than individuals with more education. Fear of recurrence was the most common health/lifestyle concern (58.9%). Respondents under age 65 reported nearly all health/lifestyle concerns more often than respondents over age 74. Rectal cancer survivors reported more concerns about activity limitation, changes, and body function and appearance than colon cancer survivors. Persons of color were more likely to report financial concerns than non-Hispanic whites.

CONCLUSIONS

The greatest needs for intervention are among survivors of rectal cancer, survivors of minority racial/ethnic background, and survivors of younger age. Survivors with low educational attainment and those with higher stage disease could also benefit.

Detecting Lung and Colorectal Cancer Recurrence Using Structured Clinical/Administrative Data to Enable Outcomes Research and Population Health Management

INTRODUCTION

Recurrent cancer is common, costly, and lethal, yet we know little about it in community-based populations. Electronic health records and tumor registries contain vast amounts of data regarding community-based patients, but usually lack recurrence status. Existing algorithms that use structured data to detect recurrence have limitations.

METHODS

We developed algorithms to detect the presence and timing of recurrence after definitive therapy for stages I-III lung and colorectal cancer using 2 data sources that contain a widely available type of structured data (claims or electronic health record encounters) linked to gold-standard recurrence status: Medicare claims linked to the Cancer Care Outcomes Research and Surveillance study, and the Cancer Research Network Virtual Data Warehouse linked to registry data. Twelve potential indicators of recurrence were used to develop separate models for each cancer in each data source. Detection models maximized area under the ROC curve (AUC); timing models minimized average absolute error. Algorithms were compared by cancer type/data source, and contrasted with an existing binary detection rule.

RESULTS

Detection model AUCs (>0.92) exceeded existing prediction rules. Timing models yielded absolute prediction errors that were small relative to follow-up time (<15%). Similar covariates were included in all detection and timing algorithms, though differences by cancer type and dataset challenged efforts to create 1 common algorithm for all scenarios.

CONCLUSIONS

Valid and reliable detection of recurrence using big data is feasible. These tools will enable extensive, novel research on quality, effectiveness, and outcomes for lung and colorectal cancer patients and those who develop recurrence.

Survival after recurrence of stage I-III breast, colorectal, or lung cancer

BACKGROUND

The experiences of patients with recurrent cancer are assumed to reflect those of patients with de novo stage IV disease; yet, little is truly known because most registries lack recurrence status. Using two databases with excellent recurrence and death information, we examined determinants of survival duration after recurrence of breast (BC), colorectal (CRC), and lung cancers (LC).

METHODS

Recurrence status was abstracted from the medical records of patients who participated in the Cancer Care Outcomes Research and Surveillance study and who received care at two Cancer Research Network sites-the Colorado and Northwest regions of Kaiser Permanente. The analysis included 1653 patients who developed recurrence after completing definitive therapy for stages I-III cancer. Multivariable modeling identified independent determinants of survival duration after recurrence, controlling for other factors.

RESULTS

Through 60 months' average follow-up, survival after recurrence for BC, CRC, and LC were 28.4, 23.1 and 16.1 months, respectively. Several factors were independently associated with shorter survival for all three cancers, including higher initial stage (III vs. I: BC -9.9 months; CRC -6.9 months; LC -7.4 months; P≤0.01). Factors associated with shorter survival for selected cancers included: distant/regional recurrence for BC and CRC; current/former smoker for LC; high grade for CRC; and <4-year time-to-recurrence for BC.

CONCLUSIONS

Initial stage predicts survival duration after recurrence, whereas time-to-recurrence usually does not. The impact of biologic characteristics (e.g., grade, hormone-receptor status) on survival duration after recurrence needs further study. Predictors of survival duration after recurrence may help facilitate patient decision-making.

Identifying cancer drug regimens in French health insurance database: An application in multiple myeloma patients

PURPOSE

There is no consensus on how to handle complex drug combinations of cancer drugs through medico-administrative databases. Our objective was to develop an algorithm for identifying the nature and patterns of treatment lines in a cohort of newly treated multiple myeloma patients.

METHODS

A cohort of multiple myeloma patients starting a first treatment line was built using both ambulatory and hospital data from regional data of the French national healthcare system database (SNIIRAM). Patients were identified from January 2011 to September 2013 using ICD-10 codes for multiple myeloma ('C90') within long-term conditions or diagnosis from hospital data. Drugs of interest for cycle identification included bortezomib, imids (thalidomide, lenalidomide), alkylating drugs (cyclophosphamide, melphalan, bendamustine, doxorubicin) and dexamethasone. An algorithm was applied to define combinations of treatment received in the first 6 months of treatment.

RESULTS

Among the 236 patients included, 45% received bortezomib-melphalan-prednisone (VMP: n = 107), 22% bortezomib-thalidomide-dexamethasone (VTD/VTD-PACE: n = 52) and 21% melphalan-prednisone-thalidomide (MPT: n = 49). Other drug regimens consisted in melphalan-prednisone (MP: 7%, n = 17), lenalidomide-dexamethasone (RD) (4%, n = 9), bortezomib-cyclophosphamide-dexamethasone (VCD: n = 1) and bortezomib-bendamustine-dexamethasone (VBD: n = 1). Type of drug regimens and allocation by age class (±65 years) were in accordance with current recommendations.

CONCLUSIONS

This study demonstrates the feasibility of identifying complex drug regimens in onco-haematology, using both outpatient and inpatient drug records in French health insurance databases.

Predicting neutropenia risk in patients with cancer using electronic data

OBJECTIVES

Clinical guidelines recommending the use of myeloid growth factors are largely based on the prescribed chemotherapy regimen. The guidelines suggest that oncologists consider patient-specific characteristics when prescribing granulocyte-colony stimulating factor (G-CSF) prophylaxis; however, a mechanism to quantify individual patient risk is lacking. Readily available electronic health record (EHR) data can provide patient-specific information needed for individualized neutropenia risk estimation. An evidence-based, individualized neutropenia risk estimation algorithm has been developed. This study evaluated the automated extraction of EHR chemotherapy treatment data and externally validated the neutropenia risk prediction model.

MATERIALS AND METHODS

A retrospective cohort of adult patients with newly diagnosed breast, colorectal, lung, lymphoid, or ovarian cancer who received the first cycle of a cytotoxic chemotherapy regimen from 2008 to 2013 were recruited from a single cancer clinic. Electronically extracted EHR chemotherapy treatment data were validated by chart review. Neutropenia risk stratification was conducted and risk model performance was assessed using calibration and discrimination.

RESULTS

Chemotherapy treatment data electronically extracted from the EHR were verified by chart review. The neutropenia risk prediction tool classified 126 patients (57%) as being low risk for febrile neutropenia, 44 (20%) as intermediate risk, and 51 (23%) as high risk. The model was well calibrated (Hosmer-Lemeshow goodness-of-fit test = 0.24). Discrimination was adequate and slightly less than in the original internal validation (c-statistic 0.75 vs 0.81).

CONCLUSION

Chemotherapy treatment data were electronically extracted from the EHR successfully. The individualized neutropenia risk prediction model performed well in our retrospective external cohort.

Risk of Breast Cancer With Long-Term Use of Calcium Channel Blockers or Angiotensin-Converting Enzyme Inhibitors Among Older Women

Controversy exists about breast cancer risk associated with long-term use of calcium channel blockers (CCBs) or angiotensin-converting enzyme inhibitors (ACEis), respectively. Our objective in this study was to separately evaluate associations between duration of CCB or ACEi use and breast cancer in hypertensive women aged ≥55 years at 3 sites in the Kaiser Permanente health-care system (1997–2012). Exposures included CCB or ACEi use of 1–12 years’ duration, determined from pharmacy dispensings. Outcomes included invasive lobular or ductal carcinoma. Statistical methods included discrete-time survival analyses. The cohort included 19,674 (17.9%) CCB users and 90,078 (82.1%) ACEi users. Two percent (n = 397) of CCB users and 1.9% (n = 1,733) of ACEi users developed breast cancer. Compared with 1–<2 years of use, in adjusted analysis, there was no association between CCB use for 2–<12 years and breast cancer: All 95% confidence intervals included 1. Increasing duration of ACEi use was associated with reduced breast cancer risk: Compared with 1–<2 years of use, the adjusted hazard ratio was 0.76 (95% confidence interval: 0.63, 0.92) for 5–<6 years of use and 0.63 (95% confidence interval: 0.43, 0.93) for 9–<10 years of use. We conclude that among older women with hypertension, long-term CCB use does not increase breast cancer risk and long-term treatment with ACEis may confer protection against breast cancer.

Optimizing patient-reported outcome and risk factor reporting from cancer survivors: a randomized trial of four different survey methods among colorectal cancer survivors

PURPOSE

The goal of this study was to determine response rates and associated costs of different survey methods among colorectal cancer (CRC) survivors.

METHODS

We assembled a cohort of 16,212 individuals diagnosed with CRC (2010-2014) from six health plans, and randomly selected 4000 survivors to test survey response rates across four mixed-mode survey administration protocols (in English and Spanish): arm 1, mailed survey with phone follow-up; arm 2, interactive voice response (IVR) followed by mail; arm 3; email linked to web-based survey with mail follow-up; and arm 4, email linked to web-based survey followed by IVR.

RESULTS

Our overall response rate was 50.2%. Arm 1 had the highest response rate (59.9%), followed by arm 3 (51.9%), arm 2 (51.2%), and arm 4 (37.9%). Response rates were higher among non-Hispanic whites in all arms than other racial/ethnic groups (p < 0.001), among English (51.5%) than Spanish speakers (36.4%) (p < 0.001), and among higher (53.7%) than lower (41.4%) socioeconomic status (p < 0.001). Survey arms were roughly comparable in cost, with a difference of only 8% of total costs between the most (arm 2) and least (arm 3) expensive arms.

CONCLUSIONS

Mailed surveys followed by phone calls achieved the highest response rate; email invitations and online surveys cost less per response. Electronic methods, even among those with email availability, may miss important populations including Hispanics, non-English speakers, and those of lower socioeconomic status.

IMPLICATIONS FOR CANCER SURVIVORS

Our results demonstrate effective methods for capturing patient-reported outcomes, inform the relative benefits/disadvantages of the different methods, and identify future research directions.

Comparison of SEER Treatment Data With Medicare Claims

BACKGROUND

The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy due to uncertainties regarding data completeness. Activities are ongoing to investigate the opportunity to supplement SEER treatment data with other data sources.

METHODS

Using the linked SEER-Medicare data, we examined the validity of the SEER data to identify receipt of chemotherapy and radiation therapy among those aged 65 and older diagnosed from 2000 to 2006 with bladder, female breast, colorectal, lung, ovarian, pancreas, or prostate cancer and hormone therapy among men diagnosed with prostate cancer at age 65 or older. Treatment collected by SEER was compared with treatment as determined by Medicare claims, using Medicare claims as the gold standard. The κ, sensitivity, specificity, positive predictive values, and negative predictive values were calculated for the receipt of each treatment modality.

RESULTS

The overall sensitivity of SEER data to identify chemotherapy, radiation, and hormone therapy receipt was moderate (68%, 80%, and 69%, respectively) and varied by cancer site, stage, and patient characteristics. The overall positive predictive value was high (>85%) for all treatment types and cancer sites except chemotherapy for prostate cancer.

CONCLUSIONS

SEER data should not generally be used for comparisons of treated and untreated individuals or to estimate the proportion of treated individuals in the population. Augmenting SEER data with other data sources will provide the most accurate treatment information.

Effect of Angiotensin System Inhibitors on Survival in Patients Receiving Chemotherapy for Advanced Non-Small-Cell Lung Cancer

INTRODUCTION

Preclinical studies suggest that angiotensin system inhibitors (ASI) and bevacizumab improve tumor perfusion and chemotherapy efficacy. We performed a retrospective study to examine whether concomitant ASI use during carboplatin and paclitaxel (CP) without or with bevacizumab (CPB) was associated with improved overall survival (OS) in patients with advanced nonsquamous, non-small-cell lung cancer (NS-NSCLC).

PATIENTS AND METHODS

In a retrospective cohort study, adult patients diagnosed with stage IIIB or IV NS-NSCLC between 2005 and 2011 were identified from tumor registries at 1 of 4 Kaiser Permanente regions. Survival differences between those who did and did not receive ASIs concomitant with chemotherapy (CP or CPB) were assessed using propensity score-matched proportional hazard models. OS was measured from the initiation of chemotherapy until death, disenrollment, or December 31, 2012.

RESULTS

Of the 1465 CP and 348 CPB patients included, 273 (19%) and 78 (22%), respectively, received concomitant ASI. For CP patients with and without concomitant ASI exposure, median OS was 12.0 and 8.4 months, respectively (crude hazard ratio [HR], 0.72; 95% confidence interval [CI], 0.63-0.84). For CPB patients, the comparable median OS was 14.9 and 11.9 months, respectively (crude HR, 0.77; 95% CI, 0.57-1.02). Using propensity score-matched cohorts, the HR for concomitant ASI use was 0.73 (95% CI, 0.61-0.88) for CP patients and 0.79 (95% CI, 0.51-1.21) for CPB patients.

CONCLUSION

Concomitant ASI receipt during CP or CPB therapy for NS-NSCLC was associated with improved survival, although the association was only statistically significant in the CP group.

Developing an Algorithm to Identify History of Cancer Using Electronic Medical Records

Introduction/Objective:

The objective of this study was to develop an algorithm to identify Kaiser Permanente Colorado (KPCO) members with a history of cancer.

Background:

Tumor registries are used with high precision to identify incident cancer, but are not designed to capture prevalent cancer within a population. We sought to identify a cohort of adults with no history of cancer, and thus, we could not rely solely on the tumor registry.

Methods:

We included all KPCO members between the ages of 40–75 years who were continuously enrolled during 2013 (N=201,787). Data from the tumor registry, chemotherapy files, inpatient and outpatient claims were used to create an algorithm to identify members with a high likelihood of cancer. We validated the algorithm using chart review and calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for occurrence of cancer.

Findings:

The final version of the algorithm achieved a sensitivity of 100 percent and specificity of 84.6 percent for identifying cancer. If we relied on the tumor registry alone, 47 percent of those with a history of cancer would have been missed.

Discussion:

Using the tumor registry alone to identify a cohort of patients with prior cancer is not sufficient. In the final version of the algorithm, the sensitivity and PPV were improved when a diagnosis code for cancer was required to accompany oncology visits or chemotherapy administration.

Conclusion:

Electronic medical record (EMR) data can be used effectively in combination with data from the tumor registry to identify health plan members with a history of cancer.

Use of Bevacizumab in Community Settings: Toxicity Profile and Risk of Hospitalization in Patients With Advanced Non-Small-Cell Lung Cancer

PURPOSE

Little is known regarding toxicities and hospitalizations in community-based settings for patients with advanced non-small-cell lung cancer (NSCLC) who received commonly prescribed carboplatin-paclitaxel (CP) or carboplatin-paclitaxel-bevacizumab (CPB) chemotherapy.

METHODS

Patients with stages IIIB-IV NSCLC age ≥ 21 years diagnosed between 2005 and 2010 who received first-line CP or CPB were identified at four health maintenance organizations (N = 1,109). Using patient and tumor characteristics and hospital and ambulatory encounters from automated data in the 180 days after chemotherapy initiation, the association between CP and CPB and toxicities and hospitalizations were evaluated with χ(2) tests and propensity score-adjusted regression models.

RESULTS

Patients who received CPB were significantly younger and had significantly more bleeding, proteinuria, and GI perforation events (all P < .05). For these patients, the unadjusted odds ratio associated with the likelihood of having a hospitalization was 0.46 (95% CI, 0.32 to 0.67). As shown by multivariable and propensity score-adjusted models, patients who received CPB were less likely to have been hospitalized (odds ratio, 0.48; 95% CI, 0.32 to 0.71) and had fewer total hospitalizations (rate ratio, 0.62; 95% CI, 0.47 to 0.82) and hospital days (rate ratio, 0.53; 95% CI, 0.47 to 0.60) than patients who received CP.

CONCLUSION

Consistent with earlier randomized clinical trials, significantly more toxicity events were identified in patients treated with CPB. However, both unadjusted and adjusted models showed that patients who received CPB were less likely than patients who received CP to experience a hospital-related event after the initiation of chemotherapy. Findings here confirm the need for adherence to clinical recommendations for judicious use of CPB, but provide reassurance regarding the relative risk for hospitalizations.

Comparative effectiveness of adjunctive bevacizumab for advanced lung cancer: the cancer research network experience

INTRODUCTION

Bevacizumab plus carboplatin-paclitaxel (BCP) chemotherapy has Food and Drug Administration approval for advanced nonsquamous, non-small-cell lung cancer based upon improved survival in a clinical trial. However, subgroup analyses of this and other studies have suggested variable results by age and gender.

METHODS

Using data from four health maintenance organizations (HMOs) belonging to the Cancer Research Network, 1605 HMO nonsquamous, non-small-cell lung cancer patients aged younger than 21 years, diagnosed 2002-2010, who received carboplatin-paclitaxel (CP), with and without bevacizumab for first-line treatment of stage IIIB/IV disease were identified. Patients were categorized into three groups based on year of diagnosis and regimen during 120 days postdiagnosis: (1) diagnosed 2005-2010 and received BCP; (2) 2005-2010, CP (CP2005), and (3) 2002-2004, CP (CP2002). Survival differences between groups were estimated using Cox proportional hazard models with several propensity score adjustments for demographic, comorbidity, and tumor characteristics. Multivariable subanalyses were also estimated.

RESULTS

Median survival was 12.3 months (interquartile range [IQR], 6.0-29.1) for BCP patients versus 8.8 months (IQR, 3.7-21.3) for CP2005 patients and 7.5 months (IQR, 3.8-15.6) for CP2002 patients. In the propensity score-adjusted models, BCP demonstrated a significant survival benefit with a hazard ratio of BCP relative to CP2005 and CP2002 patients of 0.79 (95% confidence interval [CI], 0.66-0.94) and 0.63 (95% CI, 0.52-0.75), respectively. In the multivariable-adjusted subanalyses, relative to the CP2005 cohort, the BCP hazard ratios for patients age less than 65 years, age 65 years old or older, and females were 0.78 (95% CI, 0.62-1.00), 0.74 (95% CI, 0.54-1.00), and 0.77 (95% CI, 0.58-1.00).

CONCLUSIONS

In this community-based, comparative effectiveness analysis, we found an overall survival benefit for adults receiving BCP compared with CP.

Treatment patterns for ductal carcinoma in situ from 2000-2010 across six integrated health plans

Considerable debate exists about the optimal treatment of ductal carcinoma in situ (DCIS). Using electronic data sources, we examined first course treatment patterns among women aged 18 years and older diagnosed with DCIS between 2000–2010 from six Kaiser Permanente (KP) regions. We calculated the proportion of patients receiving breast conserving surgery (BCS), BCS plus radiation therapy, unilateral mastectomy, bilateral mastectomy, and hormone therapy. Multinomial logistic regression was used to assess the association between patient characteristics and treatment. We included 9,437 women: 1,086 (11.5%) African-American; 1,455 (15.4%) Asian; 918 (9.7%) Hispanic; and 5,978 (63.3%) non-Hispanic white. Most cases (42.2%) received BCS plus radiation as their initial treatment. Nearly equal numbers of women received BCS without radiation (28.5%) or unilateral mastectomy (24.6%). Use of bilateral mastectomy was uncommon (4.7%), and most women (72.2%) did not receive hormone therapy has part of their first course treatment. We observed statistically significant differences in treatment patterns for DCIS by KP region and patient age. Predictably, nuclear grade and the presence of comorbidities were associated with first course treatment for DCIS. We observed statistically significant increases in BCS plus radiation therapy and bilateral mastectomy over time. Although still uncommon, the frequency of bilateral mastectomy increased from 2.7% in 2000 to 7.0% in 2010. We also observed differences in treatment by race/ethnicity. Our findings help illustrate the complex nature of DCIS treatment in the United States, and highlight the need for evidence based guidelines for DCIS care.

Validating billing/encounter codes as indicators of lung, colorectal, breast, and prostate cancer recurrence using 2 large contemporary cohorts

BACKGROUND

A substantial proportion of cancer-related mortality is attributable to recurrent, not de novo metastatic disease, yet we know relatively little about these patients. To fill this gap, investigators often use administrative codes for secondary malignant neoplasm or chemotherapy to identify recurrent cases in population-based datasets. However, these algorithms have not been validated in large, contemporary, routine care cohorts.

OBJECTIVE

To evaluate the validity of secondary malignant neoplasm and chemotherapy codes as indicators of recurrence after definitive local therapy for stage I-III lung, colorectal, breast, and prostate cancer.

RESEARCH DESIGN, SUBJECTS, AND MEASURES

We assessed the sensitivity, specificity, and positive predictive value (PPV) of these codes 14 and 60 months after diagnosis using 2 administrative datasets linked with gold-standard recurrence status information: CanCORS/Medicare (diagnoses 2003-2005) and HMO/Cancer Research Network (diagnoses 2000-2005).

RESULTS

We identified 929 CanCORS/Medicare patients and 5298 HMO/CRN patients. Sensitivity, specificity, and PPV ranged widely depending on which codes were included and the type of cancer. For patients with lung, colorectal, and breast cancer, the combination of secondary malignant neoplasm and chemotherapy codes was the most sensitive (75%-85%); no code-set was highly sensitive and highly specific. For prostate cancer, no code-set offered even moderate sensitivity (≤ 19%).

CONCLUSIONS

Secondary malignant neoplasm and chemotherapy codes could not identify recurrent cancer without some risk of misclassification. Findings based on existing algorithms should be interpreted with caution. More work is needed to develop a valid algorithm that can be used to characterize outcomes and define patient cohorts for comparative effectiveness research studies.

Sustaining Research Networks: the Twenty-Year Experience of the HMO Research Network

PURPOSE

As multi-institutional research networks assume a central role in clinical research, they must address the challenge of sustainability. Despite its importance, the concept of network sustainability has received little attention in the literature, and the sustainability strategies of durable scientific networks have not been described.

INNOVATION

The Health Maintenance Organization Research Network (HMORN) is a consortium of 18 research departments in integrated health care delivery systems with over 15 million members in the United States and Israel. The HMORN has coordinated federally funded scientific networks and studies since 1994. This case study describes the HMORN approach to sustainability, proposes an operational definition of network sustainability, and identifies 10 essential elements that can enhance sustainability.

CREDIBILITY

The sustainability framework proposed here is drawn from prior publications on organizational issues by HMORN investigators and from the experience of recent HMORN leaders and senior staff.

CONCLUSION AND DISCUSSION

Network sustainability can be defined as (1) the development and enhancement of shared research assets to facilitate a sequence of research studies in a specific content area or multiple areas, and (2) a community of researchers and other stakeholders who reuse and develop those assets. Essential elements needed to develop the shared assets of a network include: network governance; trustworthy data and processes for sharing data; shared knowledge about research tools; administrative efficiency; physical infrastructure; and infrastructure funding. The community of researchers within a network is enhanced by: a clearly defined mission, vision and values; protection of human subjects; a culture of collaboration; and strong relationships with host organizations. While the importance of these elements varies based on the membership and goals of a network, this framework for sustainability can enhance strategic planning within the network and can guide relationships with external stakeholders.

Advanced imaging among health maintenance organization enrollees with cancer

PURPOSE

Fee-for-service (FFS) Medicare expenditures for advanced imaging studies (defined as computed tomography [CT], magnetic resonance imaging [MRI], positron emission tomography [PET] scans, and nuclear medicine studies [NM]) rapidly increased in the past two decades for patients with cancer. Imaging rates are unknown for patients with cancer, whether under or over age 65 years, in health maintenance organizations (HMOs), where incentives may differ.

MATERIALS AND METHODS

Incident cases of breast, colorectal, lung, prostate, leukemia, and non-Hodgkin lymphoma (NHL) cancers diagnosed in 2003 and 2006 from four HMOs in the Cancer Research Network were used to determine 2-year overall mean imaging counts and average total imaging costs per HMO enrollee by cancer type for those under and over age 65.

RESULTS

There were 44,446 incident cancer patient cases, with a median age of 75 (interquartile range, 71-81), and 454,029 imaging procedures were performed. The mean number of images per patient increased from 7.4 in 2003 to 12.9 in 2006. Rates of imaging were similar across age groups, with the exception of greater use of echocardiograms and NM studies in younger patients with breast cancer and greater use of PET among younger patients with lung cancer. Advanced imaging accounted for approximately 41% of all imaging, or approximately 85% of the $8.7 million in imaging expenditures. Costs were nearly $2,000 per HMO enrollee; costs for younger patients with NHL, leukemia, and lung cancer were nearly $1,000 more in 2003.

CONCLUSION

Rates of advanced imaging appear comparable among FFS and HMO participants of any age with these six cancers.

Diffusion of Intraperitoneal Chemotherapy in Women with Advanced Ovarian Cancer in Community Settings 2003-2008: The Effect of the NCI Clinical Recommendation

Purpose: A 2006 National Cancer Institute clinical announcement recommended the use of combined intravenous (IV) and intraperitoneal (IP) chemotherapy over IV chemotherapy alone for women with International Federation of Gynecology and Obstetrics (FIGO) stage 3 optimally debulked ovarian cancer due to significant survival benefit demonstrated in multiple randomized clinical trials. We examined uptake of IP chemotherapy in community practice before and after this recommendation.

Methods: We identified 288 women with FIGO stage 2 or greater incident ovarian cancer diagnosed from 2003 to 2008 at three integrated delivery systems in the US. Administrative health plan data were used to determine patient characteristics and receipt of IV and IP chemotherapy within 12 months of diagnosis. We compared characteristics of women receiving IV chemotherapy alone vs. IP chemotherapy (with or without IV chemotherapy) and assessed temporal trends in IP chemotherapy use.

Results: Overall 12.5% (n = 36) of women received IP chemotherapy during the study period. IP chemotherapy use was non-existent between 2003 and 2005. Use of IP chemotherapy occurred among 26.9% of women diagnosed in 2006 and plateaued at 20.4% of women diagnosed in 2008. IP recipients were younger (mean age 55.9 vs. 63.5 years, p = < 0.001) and more likely to have stage 3 ovarian cancer (77.8 vs. 50.4% p = 0.039) compared to their IV-only chemotherapy counterparts.

Conclusion: Use of IP chemotherapy for newly diagnosed advanced stage ovarian cancer patients was uncommon in this community setting. Future research should identify potential patient, physician, and system barriers and facilitators to using IP chemotherapy in this setting.

Cancer research network: using integrated healthcare delivery systems as platforms for cancer survivorship research

INTRODUCTION

Much progress has been made in cancer survivorship research, but there are still many unanswered questions that can and need to be addressed by collaborative research consortia.

METHODS

Since 1999, the National Cancer Institute-funded HMO Cancer Research Network (CRN) has engaged in a wide variety of research focusing on cancer survivorship. With a focus on thematic topics in cancer survivorship, we describe how the CRN has contributed to research in cancer survivorship and the resources it offers for future collaborations.

RESULTS

We identified the following areas of cancer survivorship research: surveillance for and predictors of recurrences, health care delivery and care coordination, health care utilization and costs, psychosocial outcomes, cancer communication and decision making, late effects of cancer and its treatment, use of and adherence to adjuvant therapies, and lifestyle and behavioral interventions following cancer treatment.

CONCLUSIONS

With over a decade of experience using cancer data in community-based settings, the CRN investigators and their collaborators are poised to generate evidence in cancer survivorship research.

IMPLICATIONS FOR CANCER SURVIVORS

Collaborative research within these settings can improve the quality of care for cancer survivors within and beyond integrated health care delivery systems.

Patterns and predictors of first-line chemotherapy use among adults with advanced non-small cell lung cancer in the cancer research network

BACKGROUND

Relatively low rates of chemotherapy receipt have been observed in older patients diagnosed with advanced non-small cell lung cancer (NSCLC) in SEER-Medicare-based studies. However, little is known about variation in first-line NSCLC chemotherapy use in younger patients, health maintenance organization (HMO)-based settings, and for high-cost, novel agents, such as bevacizumab and erlotinib.

METHODS

A cohort of 6614 stage IIIB/IV NSCLC patients aged ≥ 21 years diagnosed between 2000 and 2007 was identified at four HMOs that participate in the Cancer Research Network (CRN). Demographic, comorbidity, tumor characteristics, and chemotherapy treatment data were included in logistic regression models to identify factors associated with chemotherapy receipt and tests of association examined secular and age-specific variation in first-line chemotherapy regimens.

RESULTS

Within 120 days of diagnosis, 3612 (55%) patients received chemotherapy; increasing from 52% of patients diagnosed in 2000 to 59% in 2007 (p<0.001). Receipt was significantly higher for patients aged <65 years (64% versus 46% in ≥ 65) and was inversely related to stage and comorbidites (all p<0.001). Carboplatin and paclitaxel were received most frequently. Erlotinib and bevacizumab use in the later years of the study was associated with a significant change in distributions of first-line chemotherapies (p<0.001).

CONCLUSIONS

For patients alive 30 days post diagnosis, chemotherapy use was higher in the aged population (>65 years) than previously published estimates, and higher still among younger patients. Chemotherapy use increased over the observation period, and the mix of first-line therapies used changed substantially over time. Of note, novel, high cost treatments were used in first-line therapy prior to FDA approval, increasing significantly throughout the study period. These findings demonstrate the utility of HMO CRN data to augment SEER-Medicare to conduct comparative effectiveness research related to chemotherapy use and the use of specific agents, especially among younger patients.