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  • 1
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    Regional initiative to use data transparency to improve cancer care.
    American Society of Clinical Oncology (ASCO) ; 2016
    In:  Journal of Clinical Oncology Vol. 34, No. 7_suppl ( 2016-03-01), p. 39-39
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 7_suppl ( 2016-03-01), p. 39-39
    Abstract: 39 Background: In the context of many initiatives aimed at measuring quality and value in cancer care, the Hutchinson Institute for Cancer Outcomes Research (HICOR) has adopted a multi-stakeholder approach to characterize oncology care, prioritize areas for improvement, design programs, and evaluate outcomes. Beginning in 2014, HICOR initiated a process to move towards data transparency in the reporting of regional quality and value metrics. Methods: The HICOR team constructed clinic-level adherence reports for community-prioritized metrics and the 2012 ASCO Choosing Wisely recommendations using a registry-claims linked database. In the fall of 2014, a national external advisory board reviewed methodology for measuring adherence. De-identified regional results were presented at a provider meeting in late 2014 to elicit provider feedback on methodology and on strategies for reporting clinic-identified adherence. Clinics were privately given their own adherence data. In 2015, revised de-identified regional reports were presented at a Value in Cancer Care Summit poster session and made available through HICOR IQ, a regional oncology informatics platform, for further discussion. Results: Results show that no clinic was also the best or worst performing clinic. The table shows the performance by clinic for the 5 Choosing Wisely recommendations. There is now increased demand by clinics to view their own adherence benchmarked with the region as a next step in moving towards full data transparency. Additionally, there is support from provider members in the community to re-identify clinics in order to compare results against their peers. Conclusions: Using an iterative, transparent, multi-stakeholder process, it is feasible build regional consensus towards releasing clinic-level adherence to quality and value metrics. By consulting trusted experts in the field and allowing multiple opportunities to provide feedback, providers are requesting even more transparency in order use the oncology measures to improve care in their practice and the region. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2016.34.7_suppl.39
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
    detail.hit.zdb_id: 2005181-5
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  • 2
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    Development of cancer care episodes to measure costs for breast, colorectal, and non-small cell lung cancer.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 8_suppl ( 2017-03-10), p. 29-29
    Details
    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
    URL: Article
    DOI: 10.1200/JCO.2017.35.8_suppl.29
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 3
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    Out of system (OOS) costs for oncology clinics treating patients with breast, colorectal, and non-small cell lung cancer in Washington state.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 8_suppl ( 2017-03-10), p. 5-5
    Details
    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
    URL: Article
    DOI: 10.1200/JCO.2017.35.8_suppl.5
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 4
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    Using cancer registry records linked with health insurance records to measure costs and services at end-of-life.
    American Society of Clinical Oncology (ASCO) ; 2016
    In:  Journal of Clinical Oncology Vol. 34, No. 26_suppl ( 2016-10-09), p. 186-186
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 26_suppl ( 2016-10-09), p. 186-186
    Abstract: 186 Background: Studies suggest that end-of-life (EOL) care for persons with cancer in the United States is variable and often misaligned with patient and family preferences. To better understand these issues, we developed reports on high-priority quality indicators and costs at EOL. Methods: Surveillance, Epidemiology, and End Results (SEER) records for solid tumor patients diagnosed with cancer in Western Washington state between 1/1/2007 and 12/31/2015 were linked with enrollment and claims from two regional commercial insurers. Using claims, we then developed algorithms to characterize EOL care for breast, colorectal, and non-small cell lung cancer (NSCLC), including costs of care at 90- and 30-days prior to death. Costs include all claims paid for ED, hospital, outpatient, and pharmacy care. We estimated patient out-of-pocket costs as the difference between allowed and paid claim amounts. Results: See Table. Across the largest 10 clinics in the region there was considerable variability in the average costs of cancer care in the last 90 days of life. The clinic-specific average ranged from $24,532 to $72,931 for breast cancer, $30,495 to $65,975 for colorectal cancer and $23,320 to $59,641 for NSCLC. Conclusions: At the end of life, care for patients with advanced breast, lung, and colorectal cancer is highly variable, costly to patients, and may be misaligned with the goals and preferences for patients and their family members. While the results may reflect both appropriate and unnecessary care, the large variation across clinics suggests opportunities for improvement. Further research is needed to identify factors associated with use of low-value, high-cost services at the end of life. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2016.34.26_suppl.186
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
    detail.hit.zdb_id: 2005181-5
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  • 5
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    Polypharmacy and medication costs at end of life among commercially insured adults age 65 and older with cancer.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 34_suppl ( 2018-12-01), p. 65-65
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 34_suppl ( 2018-12-01), p. 65-65
    Abstract: 65 Background: Polypharmacy, or the concurrent use of multiple medications, may expose patients to drug-drug interactions and excessive costs. There are limited data on polypharmacy for commercially insured older adults, primarily Medicare Advantage patients, that may have better access to medication management services than Medicare fee-for-service patients. We characterized medication use and out-of-pocket (OOP) medication costs in the last month of life among patients age 65+ who did not enroll in hospice to examine medication use in this population. Methods: We linked enrollment and claims records from two regional commercial insurers to Surveillance, Epidemiology, and End Results (SEER) Cancer Surveillance System and Washington State Cancer Registry records for patients diagnosed with a stage IV malignancy in Washington State between January 1, 2007-December 31, 2016. We calculated OOP costs as the difference between allowed and paid claim amounts and adjusted OOP costs (aOOP) for inflation to 2017 dollars. Results: Among 345 patients with medication claims in their last month, 156 (45%) had a chemotherapy claim. Average age was 74 years (range 65-95), 55% (n = 190) were male, and 150 had lung cancer (44%). Patients averaged 7.7 medication claims (range 1-50); 151 (44%) had 1-4, 99 (29%) had 5-9, and 95 (27%) had 10+. Common symptom-related medications were opioids, benzodiazepines, anti-emetics. Chemotherapy was associated with higher odds of 10+ prescriptions (OR 1.38, 95% CI 1.26-1.51). Excluding four patients with aOOP chemotherapy costs 〉 $14,000, average aOOP costs were $101 for chemotherapy claims (range $0-$8957) and $33 for non-chemotherapy claims ($0-$1993). Costs for those in the highest quartile ranged from $320-$8957 for chemotherapy claims and $100-1993 for non-chemotherapy claims. Conclusions: Most subjects had at least five medication claims in their last 30 days. One-quarter had 10+ claims, which was associated with chemotherapy receipt. Hospice enrollment could reduce OOP costs, as hospice provides symptom-related medications. Interventions facilitating hospice enrollment and reducing chemotherapy use may minimize polypharmacy and cost burden for patients and families.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.34_suppl.65
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 6
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    Costs of potentially preventable emergency department use during cancer treatment: A regional study.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 8_suppl ( 2017-03-10), p. 2-2
    Details
    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
    URL: Article
    DOI: 10.1200/JCO.2017.35.8_suppl.2
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 7
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    Patterns of surveillance testing in commercially insured patients with breast cancer across provider types: A regional study.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 5_suppl ( 2017-02-10), p. 4-4
    Details
    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
    URL: Article
    DOI: 10.1200/JCO.2017.35.5_suppl.4
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 8
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    The role of chronic disease in the costs of potentially preventable emergency department use during treatment: A regional study.
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. 6505-6505
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 6505-6505
    Abstract: 6505 Background: The Centers for Medicare and Medicaid Services (CMS) released a quality metric for potentially preventable chemotherapy-associated emergency department (ED) use, effective in 2020. This metric excludes diagnoses with emerging evidence for outpatient management, such as proactive symptom management (PSM) and those for ambulatory care sensitive chronic conditions. Little is known about the intersection between potentially preventable ED visits due to cancer vs. other chronic disease. This study characterized the number and costs of ED visits during treatment. Methods: Western Washington cancer registry records from 2011- 2015 were linked with claims from two commercial insurers. Patients with newly diagnosed solid tumors undergoing initial treatment with chemotherapy or radiation were eligible. ED use was tracked one year post treatment initiation. ED diagnosis codes for fields 1-10 from the CMS metric and the PSM literature were labeled “Potentially Preventable” (Pp). Codes from the Agency for Healthcare Research and Quality’s Prevention Quality Indicators (PQI) for Chronic Conditions were labeled “Potentially Preventable-Chronic Disease” (PpChronic). Costs were adjusted to $2016. Results: Of the 7,053 eligible patients, 2,543 (36.1%) visited the ED (median # visits [IQR]: 1 [1-2] ). The most commonly listed codes included Pain (1,054 visits) and Dyspnea (279 visits) for Pp, Hypertension-PQI (652 visits) and COPD-PQI (206 visits) for PpChronic, and Diabetes (247 visits) and Hyperlipidemia (181 visits) for the other codes. Spending on ED visits including both potentially preventable cancer and chronic disease diagnoses totalled $706,552 (20% of ED costs). Conclusions: One fifth of ED costs potentially resulted from simultaneous poor cancer symptom and chronic disease management. Future research should explore the role of chronic illness in categorizing which ED visits are potentially preventable during cancer treatment. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.15_suppl.6505
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 9
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    How do clinics perform across multiple end of life metrics?
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 31_suppl ( 2017-11-01), p. 86-86
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 31_suppl ( 2017-11-01), p. 86-86
    Abstract: 86 Background: National bodies have proposed a number of metrics to measure quality of care at the end of life (EOL). MACRA legislation allows clinics to select the metrics they report to CMS. The self-selection of reported metrics leaves open questions about how representative certain measures, particularly in isolation, may be of overall EOL care in community settings. We examined the consistency of clinical-level performance across three common EOL metrics. Methods: We linked cancer registry records for solid tumor cancer patients diagnosed in Washington State from 2013-2016 with claims from two regional commercial insurers. Representing national recommendations, we compiled 3 EOL quality metrics for each clinic: 1) Chemotherapy in last 14 days of life (DoL); 2) More than 1 ED visit in last 30 DoL; and 3) Admission to ICU in last 30 DoL. Consistency was measured by comparing performance in the top and bottom 3 rd across metrics. We compared consistency based on unadjusted rates and risk-standardized rates calculated following CMS methods. Results: The study included 1,535 patients across 12 clinics (median 110 [IQR: 54 – 199] patients/clinic). The clinic rates are below. (See Table.) According to both unadjusted and adjusted rankings, no clinics ranked in the top 3 rd across all metrics. Half of clinics (6 of 12) simultaneously ranked in the top 3 rd and bottom 3 rd of a metric, i.e. high/low performers. The number of high/low performers varied when examining discrete pairs of metrics. The overall pattern was mainly driven by inconsistency between performance in the chemotherapy and ED metrics. Of the other discrete pairs, ICU/Chemo and ICU/ED, clinics were more consistent in performance. Conclusions: We found that clinic performance was not consistently in the highest or lowest tertile across common EOL metrics, suggesting that requiring clinics to report a standard set of metrics may provide a more accurate indication of quality. Furthermore, different population management strategies may be required to improve care targeted by each measure. Future work should focus on the development of multi-dimensional EOL quality performance measures. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2017.35.31_suppl.86
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2017
    detail.hit.zdb_id: 2005181-5
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  • 10
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    Health care utilization and costs at end of life among patients with leukemia or lymphoma in a regional cancer registry-insurance claims linked database.
    American Society of Clinical Oncology (ASCO) ; 2016
    In:  Journal of Clinical Oncology Vol. 34, No. 26_suppl ( 2016-10-09), p. 184-184
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 34, No. 26_suppl ( 2016-10-09), p. 184-184
    Abstract: 184 Background: End-of-life (EOL) care for persons with hematologic malignancies is variable and often involves high-intensity services at death approaches, which may not reflect patient or family preferences. We characterized healthcare utilization and associated costs in the last 30 days of life among subjects with leukemia or lymphoma to better understand patterns of care in this population. Methods: We linked enrollment and claims records from two regional commercial insurers to Surveillance, Epidemiology, and End Results (SEER) records for patients diagnosed with leukemia or lymphoma in Western Washington state between January 1, 2007 and December 31, 2015. We developed algorithms to characterize EOL care and calculate costs from both the payer and patient perspective for the last 30 days of life. Costs are derived from paid claims for inpatient, outpatient, and pharmacy utilization. Patient out-of-pocket costs are calculated as the difference between allowed and paid claim amounts. Results: See Table. Conclusions: In this analysis, a majority of subjects usedat least one form of high intensity care in the last 30 days of life, and average out-of-pocket costs were considerable. Future research will focus on developing interventions to assess patient and family preferences for intensity of care to better inform the provision of high-value care in this population. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2016.34.26_suppl.184
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2016
    detail.hit.zdb_id: 2005181-5
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