To describe the current landscape of palliative care (PC) in nursing homes (NHs) in New York State (NYS).A statewide survey was completed by 149 respondents who named 61 different NHs as their workplace. Questions were related to presence, type, and composition of PC programs; perceptions of PC; barriers to implementing PC; and qualifying medical conditions.Hospice is less available than palliative or comfort care programs, with three-fourths of NYS NH responded providing a PC program. In general, medical directors and physicians were more similar in perspective about the role/impact of PC compared to nursing and others. There was general agreement about the positive impact and role of PC in the NH. Funding and staffing were recognized as barriers to implementing PC.There is growing penetration of PC programs in NH facilities in NYS, with good perception of the appropriate utilization of PC programs. Financial reimbursement and staffing are barriers to providing PC in the NH and need to be addressed by the health-care system.
Curative intent treatment of head and neck cancer (HNC) is frequently radiation therapy over 7 weeks with concurrent chemotherapy. This regimen is effective but carries a burden of toxicity leading to severe pain and treatment breaks portending inferior outcomes. Conventional palliation methods include opioids, anticonvulsants and local anaesthetics. Breakthrough toxicities are nevertheless ubiquitous and present an urgent unmet need. Ketamine is an inexpensive drug with mechanisms of analgesia outside the opioid pathway including N-methyl-D-aspartate (NMDA) receptor antagonism and a pharmacologically unique property of opioid desensitisation. Systemic ketamine is validated in randomised controlled trials for efficacy in reducing pain and/or opioid burden in the oncologic setting. Literature supports peripherally administered ketamine for pain control without systemic toxicity. These data support our rationale of using ketamine mouthwash to decrease acute toxicity of curative treatment of HNC, the efficacy of which is our aim to elucidate.This is a phase II, Simon's two-stage trial. Patients have pathologically confirmed HNC and an intended regimen of 70 Gy of radiation with concurrent cisplatin. The protocol is initiated on diagnosis of grade 3 mucositis and consists of 2 weeks of 4 times daily (QID) ketamine mouthwash use. The primary endpoint is pain response defined as a combination of pain score and opioid use. 23 subjects will be enrolled in stage 1. If statistical criteria are met, 33 subjects will be enrolled in stage 2. Secondary endpoints include daily pain, daily opioid use, dysphagia at baseline and completion, nightly sleep quality, feeding tube placement and any unscheduled treatment breaks.All trial data will be stored in an Institutional Review Board (IRB) approved database. The protocol is registered under Northwell IRB registration number #22-0292 and U.S. Food and Drug Administration (FDA) Investigational New Drug (IND) approval has been granted under IND number 161609. Results are intended to be published in an open-source journal and further data, statistics and source documents are available on request.NCT05331131.
COVID-19 has disproportionately killed older adults and racial and ethnic minority individuals, raising questions about the relevance of advance care planning (ACP) in this population. Video decision aids and communication skills training offer scalable delivery models.
Objective
To assess whether ACP video decision aids and a clinician communication intervention improved the rate of ACP documentation during an evolving pandemic, with a focus on African American and Hispanic patients.
Design, Setting, and Participants
The Advance Care Planning: Communicating With Outpatients for Vital Informed Decisions trial was a pre-post, open-cohort nonrandomized controlled trial that compared ACP documentation across the baseline pre–COVID-19 period (September 15, 2019, to March 14, 2020), the COVID-19 wave 1 period (March 15, 2020, to September 14, 2020), and an intervention period (December 15, 2020, to June 14, 2021) at a New York metropolitan area ambulatory network of 22 clinics. All patients 65 years or older who had at least 1 clinic or telehealth visit during any of the 3 study periods were included.
Main Outcomes and Measures
The primary outcome was ACP documentation.
Results
A total of 14 107 patients (mean [SD] age, 81.0 [8.4] years; 8856 [62.8%] female; and 2248 [15.9%] African American or Hispanic) interacted with clinicians during the pre–COVID-19 period; 12 806 (mean [SD] age, 81.2 [8.5] years; 8047 [62.8%] female; and 1992 [15.6%] African American or Hispanic), during wave 1; and 15 106 (mean [SD] 80.9 [8.3] years; 9543 [63.2%] female; and 2535 [16.8%] African American or Hispanic), during the intervention period. Clinicians documented ACP in 3587 patients (23.8%) during the intervention period compared with 2525 (17.9%) during the pre–COVID-19 period (rate difference [RD], 5.8%; 95% CI, 0.9%-7.9%;P = .01) and 1598 (12.5%) during wave 1 (RD, 11.3%; 95% CI, 6.3%-12.1%;P < .001). Advance care planning was documented in 447 African American patients (30.0%) during the intervention period compared with 233 (18.1%) during the pre–COVID-19 period (RD, 11.9%; 95% CI, 4.1%-15.9%;P < .001) and 130 (11.0%) during wave 1 (RD, 19.1%; 95% CI, 11.7%-21.2%;P < .001). Advance care planning was documented for 222 Hispanic patients (21.2%) during the intervention period compared with 127 (13.2%) during the pre–COVID-19 period (RD, 8.0%; 95% CI, 2.1%-10.9%;P = .004) and 82 (10.2%) during wave 1 (RD, 11.1%; 95% CI, 5.5%-14.5%;P < .001).
Conclusions and Relevance
This intervention, implemented during the evolving COVID-19 pandemic, was associated with higher rates of ACP documentation, especially for African American and Hispanic patients.
141 Background: Cancer patients experience significant symptom and psychosocial burden (Temel JS, et. al. N Engl J Med. 2010 Aug 19; 363(8):733-42. Early palliative care for patients with metastatic non-small-cell lung cancer.). Integration of supportive oncology programs within cancer centers has developed since the findings of Temel and Jackson. Addressing a growing need to manage patients comprehensively, the Northwell Health Divisions of Geriatric and Palliative Medicine and Hematology and Oncology partnered to initiate a community-based supportive oncology program. A needs assessment was completed of the providers staff, and important stakeholders. Methods: A sixteen-question survey was created and distributed to the staff at the cancer center. Questions focused on providers’ need for support in fifteen areas. The target audience included physicians, fellows, mid-level providers, registered nurses, social workers, dietitians, and care navigators. A student intern administered surveys over a six-week period. Results: A total of 61 surveys were collected. Of these, 30 were completed by registered nurses, 13 by physicians, 9 by mid-level practitioners, and 3 by social workers. Physicians expressed the highest level of need (> 4.5/5) related to nutritional status, psychosocial factors and pharmaceutical review. Mid-level providers expressed highest level of need related to pain and depression. Nurses expressed highest level of need related to psychosocial factors, pain, depression, fatigue and pharmaceutical review. The average level of need across all areas and all respondents was 4.2 on a 5 point scale. The biggest challenge identified was lack of time to perform comprehensive assessments of patients. Conclusions: A high level of need for a supportive oncology program was identified. Per our assessment, providing comprehensive care with an emphasis on symptom control, nutritional and psychosocial support, and pharmaceutical review would benefit both providers and patients. Time constraints were identified as an issue by all practitioners and staff. The survey results supported the need for an added level of multi-disciplinary support for oncologists to care for cancer patients in the community.
Background: Electronic health records (EHRs) may help enable reliable, rapid data management for many uses, such as facilitating communication of advance care planning (ACP). However, issues with validity and accuracy of EHRs hinder the use of ACP information for practical applications. Design: We present a cross-sectional pilot study of 433 older adults with cancer from three large health care systems, participating in an ongoing multisite pragmatic trial (4UH3AG060626-02). We compared data extracted from dedicated structured EHR fields for ACP to a chart review of corresponding ACP documentation contained in the medical chart. Results: Structured ACP data existed for 43.2% of patients and varied by site (25.7% −48.9%). Of the identified structured ACP data elements, 59.2% of recorded elements were correct, 23.7% were incorrect, and 17.1% were duplicates with heterogeneity across sites. Conclusion: Structured ACP data in EHRs were frequently incorrect. This represents a problem for patients and their families, as well as quality improvement and research efforts. Clinical Trials Registration: NCT03609177.
Introduction. In March of 2021, limited recreational cannabis use was legalized in New York (NY) State. The effects of this legalization on cannabis use patterns remain unclear. This study aims to assess changes in cannabis use patterns and the reasons behind those changes following legalization. Methods. 646 cannabis users from the NY metropolitan area who completed a baseline online survey in 2018 on cannabis use patterns and related variables were contacted via email to complete a follow-up survey that included additional items related to legalization. 135 adults (F=56, M=75, T/O=4) have completed the survey in a 6-week recruitment period thus far. Respondents’ mean age at the time of the current survey was 36.1 (SD=8.5). Most respondents reported being college-educated (68.1%) and employed (81.0%), and the racial/ethnic breakdown was as follows: White=53.3%; Hispanic=18.5%; mixed/other=17.4%; Black=7.4%; Asian=2.2%. Results. Respondents reported using cannabis more for recreational than for medicinal purposes (48.46% vs 51.28% on a scale of 0 (fully recreational) -100 (fully medicinal); p=0.011) and reported spending $10.96 more as a minimum (p=0.031) and $49.61 more as a maximum (p=0.008) dollar amount, on average, on cannabis per week after legalization (relative to before legalization). Fewer participants reported vaping as a route of administration following legalization (48.9%) compared to pre-legalization (65.9%; p=0.002). The primary type of cannabis use differed from pre- to post-legalization (p=0.020), with primarily THC-composed cannabis seemingly increasing (73.3% vs 84.4%) relative to other cannabinoids following legalization. Finally, more participants reported hallucinogen use after legalization relative to before legalization (p=0.013). Conclusions. These data suggested that in a sample of regular cannabis users, some self-reported cannabis use patterns changed after legalization of recreational cannabis use in the NY metropolitan area. Cannabis use for recreational purposes increased relative to medicinal purposes, as did certain cannabis spend parameters, proportional THC use, and hallucinogen use. Reported vaping of cannabis decreased, which speculatively could be related to respiratory concerns associated with vaping interacting with the ongoing COVID-19 pandemic, rather than legalization per se. These results may inform policy and treatment initiatives regarding cannabis.
Factors surrounding readmission rates for hospice patients within seven days are still relatively unknown. The present study specifically investigates the seven-day readmission rate of patients newly discharged to hospice, and the predictive factors associated with readmission for this population. In a retrospective case-control study, we seek to identify potential predictors by comparing the characteristics of patients discharged to hospice and readmitted within one week to patients who were not readmitted. Cases (n = 46) were patients discharged to home hospice and readmitted to the hospital within seven days. Controls (n = 117) were patients discharged to home hospice and not readmitted to the hospital within seven days. Significant risk factors for readmission within seven days were found to be: age (p < 0.01), race (p < 0.001), language (p < 0.001), and insurance (p < 0.001). Further study of these predictors may identify opportunities for interventions that address patient and family concerns that may lead to readmission.
121 Background: Although 20% of adults 65 and older are re-hospitalized within 30 days of discharge, there is a dearth of research investigating readmission of patients discharged to hospice and the predictors of the readmissions. The study aim was to identify risk factors for hospital readmission within 7 days of discharge to home hospice. Methods: This was a retrospective case control study with cases being patients discharged to home hospice that were readmitted to the hospital within 7 days. Controls were patients discharged to home hospice and not readmitted to the hospital within 7 days. Descriptive statistics were used to describe demographic and clinical characteristics. The chi-square or Fisher’s Exact test were used to compare categorical predictors between cases and controls. The two-sample t-test or the Mann-Whitney test were used to compare continuous predictors between cases and controls. Results: There were 163 subjects; 46 cases (28.22%) and 117 controls (71.78%). The most frequent hospital diagnosis was cancer (56.4%). There was a significant association between 7-day readmission (i.e., case) and age (P < 0.0041), race (P < 0.0008), language (P < 0.0007) and insurance (P < 0.0001). Specifically, cases were significantly younger than controls (69.5 vs. 77.0). Cases were more likely to be Hispanic (15.2 vs. 5.1), Asian (15.2 vs. 5.1) and other (13.0 vs. 2.6) when compared to controls. Cases were more likely to speak Spanish (13.3 vs. 3.5) or other (20.0 vs. 5.3) and less likely to speak English (66.7 vs. 91.2). Cases were less likely to have Medicare (8.7 vs. 82.9) and more likely to have Medicaid (32.6 vs. 4.3), private insurance (13.0 vs. 10.3) or other form of insurance including dual eligibility (45.7 vs. 2.6). Gender, marital status, religion, hospital diagnosis, discharge day, family support at home, symptoms and emergency contact relationship were not significantly association with 7-day readmission. Conclusions: Our data highlights four risk factors, namely age, race, language and insurance status as factors predicting readmission within seven days of acute care hospital discharge. Further study of these predictors may identify opportunities for interventions to obviate these readmissions.
