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  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 8_suppl ( 2017-03-10), p. 29-29
    Abstract: 29 Background: Cancer care costs are rising, creating concerns about affordability. As a result, delivery systems are creating alternative payment structures to lower costs while maintaining or improving quality. As cancer care delivery often involves multiple provider systems, measuring cost may be difficult. In response, using commercial insurance claims linked to cancer registry records, we constructed broadly applicable, reproducible, clinically relevant episodes to measure costs. Methods: Cancer registry records for patients diagnosed in Western Washington from January 2007-June 2016 were linked with claims from two regional commercial insurers. Patients are age 18+, diagnosed with breast, colorectal (CRC), or non-small cell lung cancer (NSCLC) and enrolled with a single insurance plan. With oncologist input, we constructed three care phases: diagnosis (30 days before diagnosis to first treatment), initial treatment (first treatment through first 4 month treatment gap), and end of life (last 30 days). Costs include all claims paid within the phase (2016 inflation adjusted). Supportive care includes colony-stimulating factors, blood transfusions, antibiotics, antivirals, antifungals, and antiemetics. Results: This study included 8,727 patients at diagnosis, 7,686 during treatment, and 1,736 at end of life. Diagnosis phase averaged 54 days and cost $6,936 (SD $11,761, median $4,021). Treatment averaged 126 days, with costs of $61,148 (SD $75,432, median $35,750). Average end-of-life costs were $15,829 (SD $30,222, median $2,347). The table below provides an example of the variation in costs during the treatment phase using local-stage tumors. Conclusions: Clinically relevant episodes of care and cost measures can be constructed using claims-registry data. This allows for identification of high-cost care categories and areas with large-cost variability, which may be helpful when designing value-based reimbursement programs or identifying areas for potential cost-reduction.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 8_suppl ( 2017-03-10), p. 5-5
    Abstract: 5 Background: As payers move from fee-for-service to episode-based reimbursement, there is a need for oncology providers to accurately measure in- and out-of-system resource use and cost for patients under their care. Medicare assigns management of a patient to only one provider, yet delivery systems may assume contractual responsibility for a patient with cancer’s entire episode costs, including care received outside of their system. Accordingly, the goal of this study was to estimate OOS care for patients with breast, colorectal (CRC), and non-small cell lung cancer (NSCLC). Methods: Cancer registry records for patients with breast, CRC, or NSCLC diagnosed in Western Washington State from January 2007 to June 2016 were linked with claims from two regional commercial insurers. The analysis focused on initial treatment phase: first day of treatment (surgery, radiation, chemotherapy) through the first 4-month gap in treatment. Patients were assigned an oncology provider group by identifying the clinic Tax ID Number (TIN) with the most Evaluation & Management (E & M) claims with a cancer diagnosis. Claims were considered in system if the TIN matched the assigned clinic. Costs included claims paid to all providers (adjusted to 2016 dollars). Results: The study included 7,686 newly diagnosed patients with breast, CRC, or NSCLC. The average cost for the initial treatment phase was $61,147/patient (SD $75,432, median $35,750). Nearly 31% of claims paid (mean $18,684, SD $32,649) were out of system. Among OOS costs, 24% were for inpatient care, 68% were for outpatient care, and 8% were for outpatient pharmacy. Conclusions: Among newly diagnosed patients with breast, CRC, or NSCLC, approximately 1/3 of costs for the initial treatment period stemmed from OOS care. Developing best practices for the reporting and management of OOS will be critical for organizations to succeed under episode-based reimbursement plans.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 3
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 8_suppl ( 2017-03-10), p. 2-2
    Abstract: 2 Background: There is growing recognition that many emergency department (ED) visits during cancer treatment may be related to poorly controlled disease or treatment-related symptoms and could be prevented. An RCT using the Symptom Tracking and Reporting (STAR) tool for proactive symptom management decreased the percentage of patients admitted to the ED (34% vs. 41%; p=0.02). Little is known about the costs of potentially preventable ED visits in a community setting. This study examined the number and costs of ED visits and their associated diagnoses. Methods: Cancer registry records for patients in Western Washington from 2011 to 2015 were linked with claims from two regional commercial insurers. Patients diagnosed with a solid tumor and treated with chemotherapy or radiation were selected. All ED utilization was tracked for 1 year after the start of treatment. ED-related diagnoses codes were labeled “Potentially Preventable” (PP) if they mapped to the 13 symptom categories targeted by STAR (e.g. pain, nausea) and non-PP otherwise. Costs of ED visits were inflation-adjusted and include claims with ED-related procedure, revenue, and place of service codes. All subsequent inpatient costs were excluded, likely under-estimating total costs. Results: Of the 7,075 eligible patients, 2,543 (35.9%) visited the ED an average of 1.79 times. Pain (720 visits), Dyspnea (279 visits), and Nausea (232 visits) were the most common potentially preventable diagnoses; Hypertension (506 visits), Fever (230 visits), and Diabetes (215 visits) were the most common non-PP diagnoses. $1,134,254 (25.2% of the total ED costs) was spent on PP ED visits. Of PP ED visits 20.3% (178/875) resulted in an inpatient stay. Conclusions: In our community setting, at least one quarter of ED costs were potentially the result of poor symptom management. An investment in better symptom management has a significant opportunity to both improve cancer care and lower total costs.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 4
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 5_suppl ( 2017-02-10), p. 4-4
    Abstract: 4 Background: Oncologists, primary care physicians (PCPs), and other clinicians provide care for breast cancer patients following active treatment. Clinical practice guidelines are largely consistent in recommended number of clinic visits and annual mammograms. However, surveys of oncologists and PCPs have found variation in attitudes toward surveillance intensity, perceptions of care responsibility, and adherence to Choosing Wisely guidelines. This study examined if surveillance of patients with early stage breast cancer varied by whether they obtained follow up care with oncologists, PCPs or both. Methods: Cancer registry records for patients in Western Washington from 2007 to 2015 were linked with claims from two regional commercial insurers. Patients were selected if they had been diagnosed with stage I/II breast cancer and treated with mastectomy or lumpectomy + radiation. The surveillance period starts at the first 4 month gap in treatment (surgery, chemo, radiation) through 13 months from gap start or restart of treatment. Evaluation and Management (E & M) codes for visits and procedure codes for biomarker and advanced imaging (PET, CT, bone scan) were identified in claims. Specialty codes were used to determine type of provider seen. Physician visits were matched to tests using E & M codes in the ± 7 days around each test. Results: During surveillance, 2046 patients averaged 12.2 physician visits per patient [median: 10, IQR: 7-15]. Oncologists (92%) and PCPs (82%) were the most common specialties with an average of 4.0 and 4.2 visits respectively. 73% of patients received mammography (avg # exams = 1.6) , 37% biomarkers (avg = 2.7) and 16% advanced imaging (avg = 1.5). The majority of biomarkers and the largest proportion of advanced imaging occurred near an oncology visit. Conclusions: Patients frequently see oncologists and PCPs during early surveillance. Targeting oncologists for intervention on potentially inappropriate biomarker testing could have the largest impact on aligning practice with Choosing Wisely recommendations. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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  • 5
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 8_suppl ( 2017-03-10), p. 226-226
    Abstract: 226 Background: Early studies of the oncology medical home suggest that intensive outpatient care (e.g. 24-hour phone triage, same-day infusion) reduces emergency department (ED) and inpatient (IP) use during cancer treatment. Little is known about which services are most cost-effective. One strategy is to measure observed variation in ED and IP rates to pinpoint care features associated with low-use clinics. This study examined clinic-level variation in ED and IP use in a community setting. Methods: Cancer registry records for Western Washington from 2011 to 2015 were linked with claims from two regional commercial insurers. Included patients were diagnosed with breast, lung, colorectal, or prostate cancer and treated with chemotherapy or radiation. All ED and IP use was tracked 1 year after treatment start using claims data. Observed clinic rates were measured as the percentage of patients with 1 or more visits. Expected clinic rates were determined from regional average rates weighted by clinic’s cancer-specific stage mix. Observed-to-expected clinic ratios were calculated and the Wilson Score test (95% CI) was used to determine statistically different rates. Results: The 18 clinics included 4,558 eligible patients (median 196 pts/clinic; range: 35-859). Unstaged lung patients had the highest ED rates (38.5%); unstaged breast had the lowest (13.3%). The highest IP rate was among unstaged colorectal (66.7%); the lowest in local breast (11.1%). One clinic had an observed rate that was significantly above its expected rate in both ED only and ED to IP. One clinic was significantly below its expected rate in both ED to IP and IP only. Conclusions: Even after adjusting for cancer-specific stage, there was sizable clinic-level variation in the percentage of patients visiting the ED or IP. Investigation into care delivery features and practice characteristics, along with further risk adjustment, may yield insights into best practices and identify clinics for intervention. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
    Location Call Number Limitation Availability
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