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1.
JAMA Netw Open ; 7(7): e2420695, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38976266

ABSTRACT

Importance: Patients often visit the emergency department (ED) near the end of life. Their common disposition is inpatient hospital admission, which can result in a delayed transition to hospice care and, ultimately, an inpatient hospital death that may be misaligned with their goals of care. Objective: To assess the association of hospice use with a novel multidisciplinary hospice program to rapidly identify and enroll eligible patients presenting to the ED near end of life. Design, Setting, and Participants: This pre-post quality improvement study of a novel, multifaceted care transitions program involving a formalized pathway with email alerts, clinician training, hospice vendor expansion, metric creation, and data tracking was conducted at a large, urban tertiary care academic medical center affiliated with a comprehensive cancer center among adult patients presenting to the ED near the end of life. The control period before program launch was from September 1, 2018, to January 31, 2020, and the intervention period after program launch was from August 1, 2021, to December 31, 2022. Main Outcome and Measures: The primary outcome was a transition to hospice without hospital admission and/or hospice admission within 96 hours of the ED visit. Secondary outcomes included length of stay and in-hospital mortality. Results: This study included 270 patients (median age, 74.0 years [IQR, 62.0-85.0 years]; 133 of 270 women [49.3%]) in the control period, and 388 patients (median age, 73.0 years [IQR, 60.0-84.0 years]; 208 of 388 women [53.6%]) in the intervention period, identified as eligible for hospice transition within 96 hours of ED arrival. In the control period, 61 patients (22.6%) achieved the primary outcome compared with 210 patients (54.1%) in the intervention period (P < .001). The intervention was associated with the primary outcome after adjustment for age, race and ethnicity, primary payer, Charlson Comorbidity Index, and presence of a Medical Order for Life-Sustaining Treatment (MOLST) (adjusted odds ratio, 5.02; 95% CI, 3.17-7.94). In addition, the presence of a MOLST was independently associated with hospice transition across all groups (adjusted odds ratio, 1.88; 95% CI, 1.18-2.99). There was no significant difference between the control and intervention periods in inpatient length of stay (median, 2.0 days [IQR, 1.1-3.0 days] vs 1.9 days [IQR, 1.1-3.0 days]; P = .84), but in-hospital mortality was lower in the intervention period (48.5% [188 of 388] vs 64.4% [174 of 270]; P < .001). Conclusions and Relevance: In this quality improvement study, a multidisciplinary program to facilitate ED patient transitions was associated with hospice use. Further investigation is needed to examine the generalizability and sustainability of the program.


Subject(s)
Emergency Service, Hospital , Hospice Care , Humans , Female , Male , Emergency Service, Hospital/statistics & numerical data , Aged , Hospice Care/statistics & numerical data , Middle Aged , Quality Improvement , Aged, 80 and over , Length of Stay/statistics & numerical data , Patient Transfer/statistics & numerical data , Hospitalization/statistics & numerical data , Terminal Care/statistics & numerical data , Terminal Care/methods
3.
J Palliat Med ; 21(6): 796-801, 2018 06.
Article in English | MEDLINE | ID: mdl-29480753

ABSTRACT

BACKGROUND: Fast Facts Mobile (FFM) was created to be a convenient way for clinicians to access the Fast Facts and Concepts database of palliative care articles on a smartphone or tablet device. We analyzed usage patterns of FFM through an integrated analytics platform on the mobile versions of the FFM application. OBJECTIVE: The primary objective of this study was to evaluate the usage data from FFM as a way to better understand user behavior for FFM as a palliative care educational tool. DESIGN: This is an exploratory, retrospective analysis of de-identified analytics data collected through the iOS and Android versions of FFM captured from November 2015 to November 2016. MEASUREMENTS: FFM App download statistics from November 1, 2015, to November 1, 2016, were accessed from the Apple and Google development websites. Further FFM session data were obtained from the analytics platform built into FFM. RESULTS: FFM was downloaded 9409 times over the year with 201,383 articles accessed. The most searched-for terms in FFM include the following: nausea, methadone, and delirium. We compared frequent users of FFM to infrequent users of FFM and found that 13% of all users comprise 66% of all activity in the application. CONCLUSIONS: Demand for useful and scalable tools for both primary palliative care and specialty palliative care will likely continue to grow. Understanding the usage patterns for FFM has the potential to inform the development of future versions of Fast Facts. Further studies of mobile palliative care educational tools will be needed to further define the impact of these educational tools.


Subject(s)
Health Personnel/psychology , Health Personnel/statistics & numerical data , Hospice and Palliative Care Nursing/statistics & numerical data , Mobile Applications/statistics & numerical data , Palliative Care/statistics & numerical data , Smartphone/statistics & numerical data , Telemedicine/statistics & numerical data , Adult , Attitude to Computers , Female , Humans , Male , Middle Aged , Retrospective Studies
5.
J Pain Symptom Manage ; 30(3): 227-33, 2005 Sep.
Article in English | MEDLINE | ID: mdl-16183006

ABSTRACT

To define the prevalence and correlates of grief-related symptoms among long-term care staff who care for patients near the end of life, a cross-sectional survey was conducted at six Program of All-inclusive Care for the Elderly (PACE) organizations that provide long-term care in the home and in institutions. All clinical and non-clinical program staff were surveyed to examine the prevalence of 20 grief-related symptoms and assess current sources of bereavement support, as well as willingness to use additional sources of support. Surveys were completed by 203/236 staff (86%), who described a wide variety of symptoms they attributed to the death of one of their patients in the past month. Most staff (147/203; 72%) reported at least one symptom. Staff with more symptoms had experienced more patient deaths in the past month (Spearman rho = 0.20, P = 0.007), had worked for a longer time at a PACE organization (Spearman rho = 0.16, P = 0.031), and reported a closer and longer relationship with the last patient who died (Spearman rho = 0.32, P < 0.001; rho = 0.24, P = 0.001). Although staff identified several informal sources of bereavement support (mean 2.3 sources, range 0-6), almost all (n = 194; 96%) said they would use additional support services if they were offered. These community-based long-term care staff experience a variety of symptoms attributable to the deaths of their patients, and would welcome additional sources of bereavement support.


Subject(s)
Caregivers/psychology , Grief , Health Personnel/psychology , Long-Term Care/psychology , Aged , Data Collection , Female , Humans , Linear Models , Male , Middle Aged , Social Support , Workforce
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