Modifiers of and Disparities in Palliative and Supportive Care Timing and Utilization among Neurosurgical Patients with Malignant Central Nervous System Tumors.

Patients with primary or secondary central nervous system (CNS) malignancies benefit from utilization of palliative care (PC) in addition to other supportive services, such as home health and social work. Guidelines propose early initiation of PC for patients with advanced cancers. We analyzed a cohort of privately insured patients with malignant brain or spinal tumors derived from the Optum Clinformatics Datamart Database to investigate health disparities in access to and utilization of supportive services. We introduce a novel construct, "provider patient racial diversity index" (provider pRDI), which is a measure of the proportion of non-white minority patients a provider encounters to approximate a provider's patient demographics and suggest a provider's cultural sensitivity and exposure to diversity. Our analysis demonstrates low rates of PC, home health, and social work services among racial minority patients. Notably, Hispanic patients had low likelihood of engaging with all three categories of supportive services. However, patients who saw providers categorized into high provider pRDI (categories II and III) were increasingly more likely to interface with supportive care services and at an earlier point in their disease courses. This study suggests that prospective studies that examine potential interventions at the provider level, including diversity training, are needed.

Trends and outcomes of early and late palliative care consultation for adult patients with glioblastoma: A SEER-Medicare retrospective study.

Background: Glioblastoma (GBM) carries a poor prognosis despite standard of care. Early palliative care (PC) has been shown to enhance survival and quality of life while reducing healthcare costs for other cancers. This study investigates differences in PC timing on outcomes for patients with GBM. Methods: This study used Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 1997 to 2016. Based on ICD codes, three groups were defined: (1) early PC within 10 weeks of diagnosis, (2) late PC, and (3) no PC. Outcomes were compared between the three groups. Results: Out of 10 812 patients with GBM, 1648 (15.24%) patients had PC consultation with an overall positive trend over time. There were no significant differences in patient characteristics. The late PC group had significantly higher number of hospice claims (1.06 ± 0.69) compared to those without PC, in the last month of life. There were significant differences in survival among the three groups (P < .0001), with late PC patients with the longest mean time to death from diagnosis (11.72 ± 13.20 months). Conclusion: We present the first investigation of PC consultation prevalence and outcomes, stratified by early versus late timing, for adult GBM patients. Despite an overall increase in PC consultations, only a minority of GBM patients receive PC. Patients with late PC had the longest survival times and had greater hospice use in the last month of life compared to other subgroups. Prospective studies can provide additional valuable information about this unique population of patients with GBM.

End-of-Life Cost Trajectories in Cancer Patients Treated by Medicare versus the Veterans Health Administration.

BACKGROUND/OBJECTIVES: To evaluate differences in end-of-life cost trajectories for cancer patients treated through Medicare versus by the Veterans Health Administration (VA). DESIGN: A retrospective analysis of VA and Medicare administrative data from FY 2010 to 2014. We employed three-level generalized estimating equations to evaluate monthly cost trajectories experienced by patients in their last year of life, with patients nested within hospital referral region. SETTING: Care received at VA facilities or by Medicare-reimbursed providers nationwide. PARTICIPANTS: A total of 36,401 patients dying from cancer and dually enrolled in VA and Medicare. MEASUREMENTS: We evaluated trajectories for total, inpatient, outpatient, and drug costs, using the last 12 months of life. Cost trajectories were prioritized as costs are not directly comparable across Medicare and VA. Patients were assigned to be VA-reliant, Medicare-reliant or Mixed-reliant based on their healthcare utilization in the last year of life. RESULTS: All three groups experienced significantly different cost trajectories for total costs in the last year of life. Inpatient cost trajectories were significantly different between Medicare-reliant and VA-reliant patients, but did not differ between VA-reliant and Mixed-reliant patients. Outpatient and drug cost trajectories exhibited the inverse pattern: they were significantly different between VA-reliant and Mixed-reliant patients, but not between VA-reliant and Medicare-reliant patients. However, visual examination of cost trajectories revealed similar cost patterns in the last year of life among all three groups; there was a sharp rise in costs as patients approach death, largely due to inpatient care. CONCLUSION: Despite substantially different financial incentives and organization, VA- and Medicare-treated patients exhibit similar patterns of increasing end-of-life costs, largely driven by inpatient costs. Both systems require improvement to ensure quality of end-of-life care is aligned with recommended practice.

A Consensus Framework for the Humanitarian Surgical Response to Armed Conflict in 21st Century Warfare.

Importance: Armed conflict in the 21st century poses new challenges to a humanitarian surgical response, including changing security requirements, access to patients, and communities in need, limited deployable surgical assets, resource constraints, and the requirement to address both traumatic injuries as well as emergency surgical needs of the population. At the same time, recent improvements in trauma care and systems have reduced injury-related mortality. This combination of new challenges and medical capabilities warrants reconsideration of long-standing humanitarian surgery protocols. Objective: To describe a consensus framework for surgical care designed to respond to this emerging need. Design, Setting, and Participants: An international group of 35 representatives from humanitarian agencies, US military, and academic trauma programs was invited to the Stanford Humanitarian Surgical Response in Conflict Working Group to engage in a structured process to review extant trauma protocols and make recommendations for revision. Main Outcomes and Measures: The working group's method adapted core elements of a modified Delphi process combined with consensus development conference from August 3 to August 5, 2018. Results: Lessons from civilian and military trauma systems as well as recent battlefield experiences in humanitarian settings were integrated into a tiered continuum of response from point of injury through rehabilitation. The framework addresses the security and medical requirements as well as ethical and legal principles that guide humanitarian action. The consensus framework includes trained, lay first responders; far-forward resuscitation/stabilization centers; rapid damage control surgical access; and definitive care facilities. The system also includes nontrauma surgical care, injury prevention, quality improvement, data collection, and predeployment training requirements. Conclusions and Relevance: Evidence suggests that modern trauma systems save lives. However, the requirements of providing this standard of care in insecure conflict settings places new burdens on humanitarian systems that must provide both emergency and trauma surgical care. This consensus framework integrates advances in trauma care and surgical systems in response to a changing security environment. It is possible to reduce disparities and improve the standard of care in these settings.

Health System and Beneficiary Costs Associated With Intensive End-of-Life Medical Services.

Importance: Despite recommendations to reduce intensive medical treatment at the end of life, many patients with cancer continue to receive such services. Objective: To quantify expected beneficiary and health system costs incurred in association with receipt of intensive medical services in the last month of life. Design, Setting, and Participants: This retrospective cohort study used data collected nationally from Medicare and the Veterans Health Administration for care provided in fiscal years 2010 to 2014. Participants were 48 937 adults aged 66 years or older who died of solid tumor and were continuously enrolled in fee-for-service Medicare and the Veterans Health Administration in the 12 months prior to death. The data were analyzed from February to August 2019. Exposures: American Society of Clinical Oncology metrics regarding medically intensive services provided in the last month of life, including hospital stay, intensive care unit stay, chemotherapy, 2 or more emergency department visits, or hospice for 3 or fewer days. Main Outcomes and Measures: Costs in the last month of life associated with receipt of intensive medical services were evaluated for both beneficiaries and the health system. Costs were estimated from generalized linear models, adjusting for patient demographics and comorbidities and conditioning on geographic region. Results: Of 48 937 veterans who received care through the Veterans Health Administration and Medicare, most were white (90.8%) and male (98.9%). More than half (58.9%) received at least 1 medically intensive service in the last month of life. Patients who received no medically intensive service generated a mean (SD) health system cost of $7660 ($1793), whereas patients who received 1 or more medically intensive services generated a mean (SD) health system cost of $23 612 ($5528); thus, the additional financial consequence to the health care system for medically intensive services was $15 952 (95% CI, $15 676-$16 206; P < .001). The biggest contributor to these differences was $21 093 (95% CI, $20 364-$21 689) for intensive care unit stay, while the smallest contributor was $3460 (95% CI, $2927-$3880) for chemotherapy. Mean (SD) expected beneficiary costs for the last month of life were $133 ($50) for patients with no medically intensive service and $1257 ($408) for patients with at least 1 medically intensive service (P < .001). Conclusions and Relevance: Given the low income of many elderly patients in the United States, the financial consequences of medically intensive services may be substantial. Costs of medically intensive services at the end of life, including patient financial consequences, should be considered by both physicians and families.

Palliative care clinicians and online education in India: a survey.

BACKGROUND: Whether online resources can facilitate spread of palliative care knowledge and skills in India is an urgent question given few providers and a large, ageing population. OBJECTIVES: We surveyed needs and feasibility regarding e-learning. METHODS: Indian, Australian and North American palliative care experts developed an electronic survey using Qualtrics, emailed to all registrants of the 2017 Indian Association of Palliative Care (IAPC) conference and distributed during the conference. RESULTS: Of 60 respondents (66% men, 60% doctors), most worked in hospitals and had oncology backgrounds, and 35% were from Kerala and Tamil Nadu. Most (90.9%) received palliative care training in India or overseas with 41% trained in a Trivandrum Institute of Palliative Sciences residential course (4-6 weeks). 17% completed the IAPC essential certificate and 22% had undertaken various distance learning courses. Interest in online training was substantial for most aspects of palliative care. CONCLUSION: There was a high level of interest and reported feasibility in taking a case-based online course. This pilot survey provides support for online case-based education in India, particularly among physicians.

Quality Of End-Of-Life Care Is Higher In The VA Compared To Care Paid For By Traditional Medicare.

Congressional and Veterans Affairs (VA) leaders have recommended the VA become more of a purchaser than a provider of health care. Fee-for-service Medicare provides an example of how purchased care differs from the VA's directly provided care. Using established indicators of overly intensive end-of-life care, we compared the quality of care provided through the two systems to veterans dying of cancer in fiscal years 2010-14. The Medicare-reliant veterans were significantly more likely to receive high-intensity care, in the form of chemotherapy, hospital stays, admission to the intensive care unit, more days spent in the hospital, and death in the hospital. However, they were significantly less likely than VA-reliant patients to have multiple emergency department visits. Higher-intensity end-of-life care may be driven by financial incentives present in fee-for-service Medicare but not in the VA's integrated system. To avoid putting VA-reliant veterans at risk of receiving lower-quality care, VA care-purchasing programs should develop coordination and quality monitoring programs to guard against overly intensive end-of-life care.

HIV risk factors among patients with tuberculosis--Botswana 1999.

To identify factors associated with HIV in Botswana, a standardized questionnaire was administered to 135 tuberculosis patients with known HIV status. HIV-positive patients were more likely than HIV-negative patients to: be female (45% vs 26% (adjusted prevalence odds ratio (aPOR)=3.8, 95% confidence interval (CI)=1.1-12.7)); be 26-35 years old (50% vs 19% (aPOR=2.7, CI=0.7-10.7)); be unmarried (91% vs 71% (aPOR=13.3, CI=2.5-72.7)); have higher income (24% vs 10% (aPOR=8.2, CI=1.6-42.9)); report separation from spouse/partner for work (63% vs 52% (aPOR=1.8, CI=0.5-6.2)); have 2 sex partners other than their regular partner (82% vs 67% (aPOR=1.8, CI=0.5-7.5)); and state that they or their partner drank alcohol before sex (77% vs 55% (aPOR=6.8, CI=1.9-24.1)). Only 22% of respondents used condoms during all of their past 10 sexual encounters. These data provide information for HIV prevention strategies.