Novel Data Sharing Between a Comprehensive Cancer Center and a Private Payer to Better Understand Care at the End of Life

Stuver, Sherri O.; McNiff, Kristen; Fraile, Belen; Odejide, Oreofe O.; Abel, Gregory A.; Dodek, Anton; Jacobson, Joseph O.

doi:10.1016/j.jpainsymman.2016.02.004

Cited by 8 publications

(2 citation statements)

References 37 publications

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“…Rates of antineoplastic drug administration in the last 2 weeks of life and hospice use reported in this study are similar overall to prior studies of both Medicare, commercial payer, and veteran populations. 14,[22][23][24] This may suggest that the VA's policy of allowing concurrent care 25 does not lead to more antineoplastic therapy near the end of life; however, additional prospective study of concurrent care is needed to ensure this practice does not lead to increased aggressive end-of-life care. It is unknown whether the failure of end-of-life ICU admissions to decline over time could be related to such a concurrent care policy.…”

Section: Discussionmentioning

confidence: 99%

National Trends in End-of-Life Care for Veterans With Advanced Cancer in the Veterans Health Administration: 2009 to 2016

Smith

Kamal

Kluger

et al. 2019

JOP

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PURPOSE: It is imperative to provide quality end-of-life (EOL) care for patients with cancer. Although rates of hospice use within the Veterans Health Administration have improved, antineoplastic administration and intensive care unit (ICU) admission at the EOL, indicators of aggressive care, have not clearly declined over recent years. METHODS: We identified 32,665 veterans diagnosed with stage IV lung, colorectal, or pancreatic cancer who died between 2009 and 2016 using a novel EOL Dashboard Tool created from Veterans Administration Cancer Registry data. This EOL tool reports the incidence of antineoplastic drug use in the last 14 days of life, ICU admission in the last 30 days of life, and hospice admission or consult. Change from 2009 to 2016 was assessed using a repeated measures one-way analysis of variance with post hoc test for linear trend of time for individual cancers and two-way analysis of variance for all cancers combined. RESULTS: Antineoplastic use in the last 14 days of life declined from 6.8% in 2009 to 4.4% in 2016 ( P = .03). ICU admission in the last 30 days did not change significantly, from 13.3% in 2009 to 14.7% in 2016. The exception was patients with stage IV lung cancer, in whom ICU admissions increased from 12.9% to 16.2% ( P = .01). Patients using hospice services increased from 32.4% to 52.6% ( P < .01). CONCLUSION: Although antineoplastic administration at the EOL is declining for veterans with stage IV cancer, ICU admissions are unchanged and becoming more common in stage IV lung cancer despite increasing hospice use.

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Section: Discussionmentioning

confidence: 99%

National Trends in End-of-Life Care for Veterans With Advanced Cancer in the Veterans Health Administration: 2009 to 2016

Smith

Kamal

Kluger

et al. 2019

JOP

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“…23 EOL care was determined with retrospective chart review and included care within and outside of our health care system via links to other systems, although outside care was likely undercaptured. 26 For patients enrolled in hospice, the enrollment date was assumed to be the same as the referral date, as referrals in the EMR were used for both internal and external hospices but the enrollment date for external hospice programs was not always known.…”

Section: Interventionmentioning

confidence: 99%

Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer

Gensheimer

Gupta

Patel

et al. 2023

JCO Oncology Practice

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PURPOSE: Patients with metastatic cancer benefit from advance care planning (ACP) conversations. We aimed to improve ACP using a computer model to select high-risk patients, with shorter predicted survival, for conversations with providers and lay care coaches. Outcomes included ACP documentation frequency and end-of-life quality measures. METHODS: In this study of a quality improvement initiative, providers in four medical oncology clinics received Serious Illness Care Program training. Two clinics (thoracic/genitourinary) participated in an intervention, and two (cutaneous/sarcoma) served as controls. ACP conversations were documented in a centralized form in the electronic medical record. In the intervention, providers and care coaches received weekly e-mails highlighting upcoming clinic patients with < 2 year computer-predicted survival and no prior prognosis documentation. Care coaches contacted these patients for an ACP conversation (excluding prognosis). Providers were asked to discuss and document prognosis. RESULTS: In the four clinics, 4,968 clinic visits by 1,251 patients met inclusion criteria (metastatic cancer with no prognosis previously documented). In their first visit, 28% of patients were high-risk (< 2 year predicted survival). Preintervention, 3% of both intervention and control clinic patients had ACP documentation during a visit. By intervention end (February 2021), 35% of intervention clinic patients had ACP documentation compared with 3% of control clinic patients. Providers' prognosis documentation rate also increased in intervention clinics after the intervention (2%-27% in intervention clinics, P < .0001; 0%-1% in control clinics). End-of-life care intensity was similar in intervention versus control clinics, but patients with ≥ 1 provider ACP edit met fewer high-intensity care measures ( P = .04). CONCLUSION: Combining a computer prognosis model with care coaches increased ACP documentation.

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Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review

Duberstein

Chen

Hoerger

et al. 2020

Journal of Pain and Symptom Management

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Context. There has been surprisingly little attention to conceptual and methodological issues that influence the measurement of discretionary utilization at the end of life (DIAL), an indicator of quality care. Objective. The objectives of this study were to examine how DIALs have been operationally defined and identify areas where evidence is biased or inadequate to inform practice. Methods. We conducted a scoping review of the English language literature published from 1/1/04 to 6/30/17. Articles were eligible if they reported data on $2 DIALs within 100 days of the deaths of adults aged $18 years. We explored the influence of research design on how researchers measure DIALs and whether they examine demographic correlates of DIALs. Other potential biases and influences were explored. Results. We extracted data from 254 articles published in 79 journals covering research conducted in 29 countries, mostly focused on cancer care (69.1%). More than 100 DIALs have been examined. Relatively crude, simple variables (e.g., intensive care unit admissions [56.9% of studies], chemotherapy [50.8%], palliative care [40.0%]) have been studied more frequently than complex variables (e.g., burdensome transitions; 7.3%). We found considerable variation in the assessment of DIALs, illustrating the role of research design, professional norms and disciplinary habit. Variables are typically chosen with little input from the public (including patients or caregivers) and clinicians. Fewer than half of the studies examined age (44.6%), gender (37.3%), race (26.5%), or socioeconomic (18.5%) correlates of DIALs. Conclusion. Unwarranted variation in DIAL assessments raises difficult questions concerning how DIALs are defined, by whom, and why. We recommend several strategies for improving DIAL assessments. Improved metrics could be used by the public, patients, caregivers, clinicians, researchers, hospitals, health systems, payers, governments, and others to evaluate and improve end-of-life care.

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Novel Data Sharing Between a Comprehensive Cancer Center and a Private Payer to Better Understand Care at the End of Life

Abstract: Data sharing between a private payer and a large cancer center proved feasible and informative. High rates of hospital service use outside of our sites of care were unexpected. The findings suggest opportunities to better manage care at the end of life.

Cited by 8 publications

References 37 publications

National Trends in End-of-Life Care for Veterans With Advanced Cancer in the Veterans Health Administration: 2009 to 2016

National Trends in End-of-Life Care for Veterans With Advanced Cancer in the Veterans Health Administration: 2009 to 2016

Use of Machine Learning and Lay Care Coaches to Increase Advance Care Planning Conversations for Patients With Metastatic Cancer

Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review

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