Measuring the intensity of mental healthcare: development of the Mental Healthcare Intensity Scale (MHIS).

BACKGROUND: There are considerable differences among mental healthcare services, and especially in developed countries there are a substantial number of different services available. The intensity of mental healthcare has been an important variable in research studies (e.g. cohort studies or randomized controlled trials), yet it is difficult to measure or quantify, in part due to the fact that the intensity of mental healthcare results from a combination of several factors of a mental health service. In this article we describe the development of an instrument to measure the intensity of mental healthcare that is easy and fast to use in repeated measurements. METHODS: The Mental Healthcare Intensity Scale was developed in four stages. First, categories of care were formulated by using focus group interviews. Second, the fit among the categories was improved, and the results were discussed with a sample of the focus group participants. Third, the categories of care were ranked using the Segmented String Relative Rankings algorithm. Finally, the Mental Healthcare Intensity Scale was validated as a coherent classification instrument. RESULTS: 15 categories of care were formulated and were ranked on each of 12 different intensities of care. The Mental Healthcare Intensity Scale is a versatile questionnaire that takes 2-to-3 min to complete and yields a single variable that can be used in statistical analysis. CONCLUSIONS: The Mental Healthcare Intensity Scale is an instrument that can potentially be used in cohort studies and trials to measure the intensity of mental healthcare as a predictor of outcome. Further study into the psychometric characteristics of the Mental Healthcare Intensity Scale is needed.

Agreement between patients and mental healthcare providers on unmet care needs in child and adolescent psychiatry.

PURPOSE: In mental health care, patients and their care providers may conceptualize the nature of the disorder and appropriate action in profoundly different ways. This may lead to dropout and lack of compliance with the treatments being provided, in particular in young patients with more severe disorders. This study provides detailed information about patient-provider (dis)agreement regarding the care needs of children and adolescents. METHODS: We used the Camberwell Assessment of Need (CANSAS) to assess the met and unmet needs of 244 patients aged between 6 and 18 years. These needs were assessed from the perspectives of both patients and their care providers. Our primary outcome measure was agreement between the patient and care provider on unmet need. By comparing a general outpatient sample (n = 123) with a youth-ACT sample (n = 121), we were able to assess the influence of severity of psychiatric and psychosocial problems on the extent of agreement on patient's unmet care needs. RESULTS: In general, patients reported unmet care needs less often than care providers did. Patients and care providers had the lowest extents of agreement on unmet needs with regard to "mental health problems" (k = 0.113) and "information regarding diagnosis/treatment" (k = 0.171). Comparison of the two mental healthcare settings highlighted differences for three-quarters of the unmet care needs that were examined. Agreement was lower in the youth-ACT setting. CONCLUSIONS: Clarification of different views on patients' unmet needs may help reduce nonattendance of appointments, noncompliance, or dropout. Routine assessment of patients' and care providers' perceptions of patients' unmet care needs may also help provide information on areas of disagreement.

Receipt of Nephrology Care and Clinical Outcomes Among Veterans With Advanced CKD.

BACKGROUND: Clinical practice guidelines recommend referral to nephrology when estimated glomerular filtration rate (eGFR) decreases to <30mL/min/1.73m2; however, evidence for benefits of nephrology care are mixed. STUDY DESIGN: Observational cohort using landmark analysis. SETTINGS & PARTICIPANTS: A national cohort of veterans with advanced chronic kidney disease, defined as an outpatient eGFR≤30mL/min/1.73m2 for January 1, 2010, through December 31, 2010, and a prior eGFR<60mL/min/1.73m2, using administrative and laboratory data from the Department of Veterans Affairs and the US Renal Data System. PREDICTOR: Receipt and frequency of outpatient nephrology care over 12 months. OUTCOMES: Survival and progression to end-stage renal disease (ESRD; receipt of dialysis or kidney transplantation) were the primary outcomes. In addition, control of associated clinical parameters over 12 months were intermediate outcomes. RESULTS: Of 39,669 patients included in the cohort, 14,983 (37.8%) received nephrology care. Older age, heart failure, dementia, depression, and rapidly declining kidney function were independently associated with the absence of nephrology care. During a mean follow-up of 2.9 years, 14,719 (37.1%) patients died and 4,310 (10.9%) progressed to ESRD. In models adjusting for demographics, comorbid conditions, and trajectory of kidney function, nephrology care was associated with lower risk for death (HR, 0.88; 95% CI, 0.85-0.91), but higher risk for ESRD (HR, 1.48; 95% CI, 1.38-1.58). Among patients with clinical parameters outside guideline recommendations at cohort entry, a significantly higher adjusted proportion of patients who received nephrology care had improvement in control of hemoglobin, potassium, albumin, calcium, and phosphorus concentrations compared with those who did not receive nephrology care. LIMITATIONS: May not be generalizable to nonveterans. CONCLUSIONS: Among patients with advanced chronic kidney disease, nephrology care was associated with lower mortality, but was not associated with lower risk for progression to ESRD.

Tiered network health plans and changes in physician practice intensity.

OBJECTIVE: To examine whether physicians in tiered physician networks where tier assignments are based on "intensity" of care, which is the quantity of resources used per-episode of care, change their intensity after learning detailed information about how their intensity compares to their peers. DATA SOURCES: Administrative data on intensity and quality at the physician-episode level for all physicians included in a tiered physician network offered through the Massachusetts Group Insurance Commission (GIC) in 2010-2015. Data on physicians' share of revenue from GIC patients from the 2012 Massachusetts All-Payer Claims Database. STUDY DESIGN: For 21,086 physicians in seven specialties, we estimate the impact of the dissemination of detailed intensity performance information in 2014 on physician intensity per episode of care overall and decomposed into physician services, facility, and pharmaceutical subcomponents. Intensity outcomes were measured using a standardized price schedule. Using a difference-in-differences regression, we compared physicians with high exposure to the tiered network via a large share of their revenue coming from GIC patients ("GIC share") to physicians who were less exposed. Measures of intensity of care and GIC share were log-transformed, and models controlled for physician-episode type fixed effects. DATA EXTRACTION METHODS: We linked GIC share to administrative data using National Provider Identifier. PRINCIPAL FINDINGS: There were no statistically significant differences in total intensity of care with the informational intervention for physicians in procedure-based specialties (-0.12 elasticity of intensity per episode with respect to GIC patient share, 95% CI -0.30 to 0.06) or in relationship-based specialties (0.09, 95% CI -0.15 to 0.33). There were also no differences in intensity of subcomponents of care following the intervention. CONCLUSIONS: Tiered network incentives had no detectable impact on intensity of care that physicians provided to patients.

Trends in use of intensive care during hospitalizations at the end-of-life among older adults with advanced cancer.

BACKGROUND: High-intensity end-of-life (EOL) care, marked by admission to intensive care units (ICUs) or in-hospital death, can be costly and burdensome. Recent trends in use of ICUs, life-sustaining treatments (LSTs), and noninvasive ventilation (NIV) during EOL hospitalizations among older adults with advanced cancer and patterns of in-hospital death are unknown. METHODS: We used SEER-Medicare data (2003-2017) to identify beneficiaries with advanced solid cancer (summary stage 7) who died within 3 years of diagnosis. We identified EOL hospitalizations (within 30 days of death), classifying them by increasing intensity of care into: (1) without ICU; (2) with ICU but without LST (invasive mechanical ventilation, tracheostomy, gastrostomy, acute dialysis) or NIV; (3) with ICU and NIV but without LST; and (4) with ICU and LST use. We constructed a multinomial regression model to evaluate trends in risk-adjusted hospitalization, overall and across hospitalization categories, adjusting for sociodemographics, cancer characteristics, comorbidities, and frailty. We evaluated trends in in-hospital death across categories. RESULTS: Of 226,263 Medicare beneficiaries with advanced cancer, 138,305 (61.1%) were hospitalized at EOL [Age, Mean (SD):77.9(7.1) years; 45.5% female]. Overall, EOL hospitalizations remained high throughout, from 78.1% (95% CI: 77.4, 78.7) in 2004 to 75.5% (95% CI: 74.5, 76.2) in 2017. Hospitalizations without ICU use decreased from 49.3% (95% CI: 48.5, 50.2) to 35.0% (95% CI: 34.2, 35.9) while hospitalizations with more intensive care increased, from 23.7% (95% CI: 23.0, 24.4) to 28.7% (95% CI: 27.9, 29.5) for ICU without LST or NIV, 0.8% (95% CI: 0.6, 0.9) to 3.8% (95% CI: 3.4, 4.1) for ICU with NIV but without LST, and 4.3% (95% CI: 4.0, 4.7) to 8.0% (95% CI: 7.5, 8.5) for ICU with LST use. Among those who experienced in-hospital death, the proportion receiving ICU care increased from 46.5% to 65.0%. CONCLUSIONS: Among older adults with advanced cancer, EOL hospitalization rates remained stable from 2004-2017. However, intensity of care during EOL hospitalizations increased as evidenced by increasing use of ICUs, LSTs, and NIV.

A national profile of sandwich generation caregivers providing care to both older adults and children.

BACKGROUND: Many U.S. caregivers provide care to the generation above and below simultaneously, described as "sandwich" generation caregivers. We seek to provide the first national estimates characterizing sandwich generation caregivers and the older adults for whom they care. METHODS: We used the 2015 National Study of Caregiving (NSOC) and National Health and Aging Trends Study (NHATS) to compare individual (demographic, socio-economic, health, and caregiving characteristics) and caregiving-related experience (financial and emotional difficulties, caregiver role overload and gains, supportive services, employment and participation restrictions) between sandwich and non-sandwich generation caregivers. The analysis included adult child caregivers with or without any minor child under 18 years (n = 194 and 912 NSOC respondents, respectively) providing care to n = 436 and 1217 older adult NHATS respondents. RESULTS: Of all adult child caregivers, 24.3% also cared for a minor child (i.e., sandwich generation caregivers), representing 2.5 million individuals. Sandwich generation caregivers provided similar care hours to older care recipients as non-sandwich caregivers (77.4 vs. 71.6 h a month, p = 0.60), though more of them worked for pay (69.4% vs. 53.9%, p = 0.002). Both sandwich generation caregivers (21.0% vs. 11.1%, p = 0.005) and their care recipients (30.1% vs. 20.9%, p = 0.006) were more likely to be Medicaid enrollees than their non-sandwich caregiving counterparts. More sandwich generation caregivers reported substantial financial (23.5% vs. 12.2%, p < 0.001) and emotional difficulties (44.1% vs. 32.2%, p = 0.02) than non-sandwich caregivers; they also reported higher caregiver role overload (score: 2.9 vs. 2.4, p = 0.04). Their supportive services use was similarly low as non-sandwich caregivers except for seeking financial help (24.8% vs. 14.7%, p = 0.008). CONCLUSIONS: Besides caring for minor child(ren), sandwich generation caregivers provided similarly intense care to care recipients as non-sandwich caregivers and had higher labor force participation; they experienced more caregiving-related financial and emotional difficulties and role overload. Policymakers may consider supportive services that address their unique needs and roles.

Patterns of Pediatric Palliative and End-of-Life Care in Neonatal Intensive Care Patients in the Southern U.S.

CONTEXT: Despite high rates of mortality among infants in the Southern U.S., little is known about the timing of pediatric palliative care (PPC), the intensity of end-of-life care, and whether there are differences among sociodemographic characteristics. OBJECTIVES: To describe PPC patterns and treatment intensity during the last 48 hours of life among neonatal intensive care unit (NICU) patients in the Southern U.S. who received specialized PPC. METHODS: Medical record abstraction of infant decedents who received PPC consultation in two NICUs (in Alabama and Mississippi) from 2009 to 2017 (n = 195) including clinical characteristics, palliative and end-of-life care characteristics, patterns of PPC, and intensive medical treatments in the last 48 hours of life. RESULTS: The sample was racially (48.2% Black) and geographically (35.4% rural) diverse. Most infants died after withdrawal of life-sustaining interventions (58%) and had do not attempt resuscitation orders documented (75.9%); very few infants enrolled in hospice (6.2%). Initial PPC consult occurred a median of 13 days after admission and a median of 17 days before death. Infants with a primary diagnosis of genetic or congenital anomaly received earlier PPC consultation (P = 0.02) compared to other diagnoses. In the last 48 hours of life, NICU patients received intensive interventions including mechanical ventilation (81.5%), CPR (27.7%) and surgeries or invasive procedures (25.1%). Black infants were more likely to receive CPR compared to White infants (P = 0.04). CONCLUSION: Overall, PPC consultation occurred late in NICU hospitalizations, infants received high-intensity medical interventions in the last 48 hours of life, and there are disparities in intensity of treatment interventions at end of life. Further research is needed to explore if these patterns of care reflect parent preferences and goal concordance.

Pleural Effusion in COVID-19 Pneumonia: Clinical and Prognostic Implications-An Observational, Retrospective Study.

BACKGROUND: COVID-19 presents with a wide spectrum of clinical and radiological manifestations, including pleural effusion. The prevalence and prognostic impact of pleural effusion are still not entirely clear. PATIENTS AND METHODS: This is a retrospective, single-center study including a population of consecutive patients admitted to the University Hospital of Cisanello (Pisa) from March 2020 to January 2021 with a positive SARS-CoV-2 nasopharyngeal swab and SARS-CoV-2-related pneumonia. The patients were divided into two populations based on the presence (n = 150) or absence (n = 515) of pleural effusion on chest CT scan, excluding patients with pre-existing pleural effusion. We collected laboratory data (hemoglobin, leukocytes, platelets, C-reactive protein, procalcitonin), worst PaO2/FiO2 ratio as an index of respiratory gas exchange impairment, the extent of interstitial involvement related to SARS-CoV-2 pneumonia and data on intensity of care, length of stay and outcome (discharge or death). RESULTS: The prevalence of pleural effusion was 23%. Patients with pleural effusion showed worse gas exchange (p < 0.001), longer average hospital stay (p < 0.001), need for more health care resources (p < 0.001) and higher mortality (p < 0.001) compared to patients without pleural effusion. By multivariate analysis, pleural effusion was found to be an independent negative prognostic factor compared with other variables such as increased C-reactive protein, greater extent of pneumonia and older age. Pleural effusion was present at the first CT scan in most patients (68%). CONCLUSIONS: Pleural effusion associated with SARS-CoV-2 pneumonia is a relatively frequent finding that is confirmed to be a negative prognostic factor. Identifying early prognostic factors in an endemic-prone disease such as COVID-19 is necessary to optimize its clinical management. Further clinical studies aimed at better characterizing pleural effusion in these patients will be appropriate in order to clarify its pathogenetic role.

Advance Care Planning Documentation and Intensity of Care at the End of Life for Adults With Congestive Heart Failure, Chronic Kidney Disease, and Both Illnesses.

CONTEXT: Heart failure (HF) and chronic kidney disease (CKD) are associated with high morbidity and mortality, especially in combination, yet little is known about the impact of these conditions together on end-of-life care. OBJECTIVES: Compare end-of-life care and advance care planning (ACP) documentation among patients with both HF and CKD to those with either condition. METHODS: We conducted a retrospective analysis of deceased patients (2010-2017) with HF and CKD (n = 1673), HF without CKD (n = 2671), and CKD without HF (n = 1706), excluding patients with cancer or dementia. We compared hospitalizations and intensive care unit (ICU) admissions in the last 30 days of life, hospital deaths, and ACP documentation >30 days before death. RESULTS: 39% of patients with HF and CKD were hospitalized and 33% were admitted to the ICU in the last 30 days vs. 30% and 28%, respectively, for HF, and 26% and 23% for CKD. Compared to patients with both conditions, those with only 1 were less likely to be admitted to the hospital [HF: adjusted odds ratio (aOR) 0.72, 95%CI 0.63-0.83; CKD: aOR 0.63, 95%CI 0.53-0.75] and ICU (HF: aOR 0.83, 95%CI 0.71-0.94; CKD: aOR 0.68, 95%CI 0.56-0.80) and less likely to have ACP documentation (aOR 0.53, 95%CI 0.47-0.61 and aOR 0.70, 95%CI 0.60-0.81). CONCLUSIONS: Decedents with both HF and CKD had more ACP documentation and received more intensive end-of-life care than those with only 1 condition. These findings suggest that patients with co-existing HF and CKD may benefit from interventions to ensure care received aligns with their goals.

Primary Health Care and Hospital Management During COVID-19: Lessons from Lombardy.

The pandemic due to SARS-CoV-2 tested the resilience of health systems worldwide. The outcome of the pandemic is impacted by health management choices made over the course of the disaster, which in turn are strongly dependent on the underlying healthcare system - as mirrored by the fact that regional pandemic experiences differ considerably: In Italy (a country most impacted by the COVID-19 outbreak), infection and mortality rates vary vastly between regions, with Lombardy - a comparatively well-equipped region with regard to hospitals and centers of scientific excellence - being amongst the worst-affected areas. Within this article, we focus on the challenges within primary health care and hospital organization, cooperation between primary and specialist care, and access to health care services: In Lombardy, neglected primary health care with a comparatively low availability of general practitioners (GPs) per inhabitant, the initial prioritization of hospitals during the pandemic while neglecting primary health care in terms of personal protective equipment (PPE), the lack of testing resources, and a failure to achieve coordinated support contributed to a quick overburdening of hospitals, where the dissolution of traditional departments into "macro-areas" may favor nosocomial infections during an ongoing pandemic. Neither specialized medicine nor privatization, but rather flexible public healthcare services working in consistent cooperation with GPs, show better efficiency in containing viral spread and managing patients. Strengthening the primary health care sector with regard to human and technical resources and supporting the coordination between the different levels of health care providers help to avoid overcrowded hospitals, while protecting patients and health care workers during large-scale health emergencies. Overall, further in-depth analysis of structural determinants is needed in order to develop more-resilient and integrative health care systems.

Poor intensive stroke care is associated with short-term death after spontaneous intracerebral hemorrhage.

OBJECTIVES: The case fatality from spontaneous ICH (SICH) remains high. The quality and intensity of early treatment is one of the determinants of the outcome. We aimed to study the association of early intensive care, using the Intracerebral Hemorrhage-Specific Intensity of Care Quality Metrics (IHSICQM) with the 30-day in-hospital mortality in Algarve, Portugal. PATIENTS AND METHODS: analysis of prospective collected data of 157 consecutive SICH patients (2014-2016). Logistic regression was performed to assess the role of IHSICQM on the 30-day in-hospital mortality controlling for the most common clinical and radiological predictors of death. Receiver operating characteristic (ROC) curve was developed to evaluate the prediction accuracy of the IHSICQM score (C-statistics). RESULTS: forty-five (29 %) patients died. The group of deceased patients had lower intensity of care (lower IHSICQM score) and higher proportion of poor prognosis associated factors (pre-ICH functional dependency, intraventricular dissection/glycaemia). On the multivariate analysis, higher IHSICQM was associated with reduction of the odds of death, 0.27 (0.14-0.50) per each increasing point. The ROC curve showed a high discriminating ability of isolated IHSICQM in predicting the 30-day mortality (AUC = 0,95; 95 % CI = [0,86; 0,95]). CONCLUSION: the early intensity of quality of care independently predicts the 30-day in-hospital mortality. Quantification of the intensity of SICH is a valid tool to persuade improvement of SICH care, as well to help comparison of performances within and between hospitals.

Clinical Management of Adult Coronavirus Infection Disease 2019 (COVID-19) Positive in the Setting of Low and Medium Intensity of Care: a Short Practical Review.

Coronavirus disease 2019 (COVID-2019) is a viral infection which is rapidly spreading on a global scale and causing a severe acute respiratory syndrome that affects today about four and a half million registered cases of people around the world. The aim of this narrative review is to provide an urgent guidance for the doctors who take care of these patients. Recommendations contained in this protocol are based on limited, non-definitive, evidence and experience-based opinions about patients with low and medium intensity of care. A short guidance on the management of COVID-19 is provided for an extensive use in different hospital settings. The evidence-based knowledge of COVID-19 is rapidly evolving, and we hope that, in the near future, a definitive and most efficacious treatment will be available including a specific vaccine for SARS-CoV-2.

Impact of systematic advanced care planning in lung cancer patients: A prospective study.

BACKGROUND: End-of-life (EOL) communication is crucial, particularly for cancer patients. While advanced care planning is still uncommon, we sought to investigate its impact on care intensity in case of organ failure in lung cancer patients. METHODS: We prospectively included consecutive lung cancer patients hospitalised at the Grenoble University Hospital, France, between January 1, 2014 and March 31, 2016. Patients could be admitted several times and benefited from advanced care planning based on three care intensities: intensive care, maximal medical care, and exclusive palliative care. Patients' wishes were addressed. RESULTS: Data of 739 hospitalisations concerning 482 patients were studied. During the three first admissions, 173 (25%) patients developed organ failure, with intensive care proposed to 56 (32%), maximal medical care to 104 (60%), and exclusive palliative care to 13 (8%). Median time to organ failure was 9 days [IQR 25%-75%: 3-13]. All patients benefited from care intensity that was either equal to or lower than the care proposed. Specific wishes were recorded for 158 (91%) patients, with a discussion about EOL conditions held in 116 (73%). CONCLUSIONS: In case of organ failure, advanced care planning helps provide reasonable care intensity. The role of the patient's wishes as to the proposed care must be further investigated. CLINICAL TRIAL REGISTRATION: The study was registered at www.ClinicalTrials.gov with the identifier NCT02852629.

Aggressive Care near the End of Life for Cancer Patients in Medicare Accountable Care Organizations.

OBJECTIVES: To compare aggressiveness of end-of-life (EoL) care for older cancer patients attributed to Medicare Shared Savings Programs with that for similar fee for service (FFS) beneficiaries not in an accountable care organization (ACO) and examine whether observed differences in EoL care utilization vary across markets that differ in ACO penetration. DESIGN: Cross-sectional observational study comparing ACO-attributed beneficiaries with propensity score-matched beneficiaries not attributed to an ACO. SETTING: A total of 21 hospital referral regions (HRRs) in the United States. PARTICIPANTS: Medicare FFS beneficiaries with a cancer diagnosis who were 66 years or older and died in 2013-2014. MEASUREMENTS: Outcome measures were claims-based quality measures of aggressive EoL care: (1) one or more intensive care unit (ICU) admissions in the last month of life, (2) two or more hospitalizations in the last month of life, (3) two or more emergency department visits in the last month of life, (4) chemotherapy 2 weeks or less before death, and (5) no hospice enrollment or hospice enrollment within 3 days of death. Analyses were adjusted for demographic and clinical characteristics of beneficiaries and practice characteristics. RESULTS: Compared with beneficiaries not in an ACO, ACO-attributed beneficiaries had a higher rate of ICU admission during the last month of life (37.7% vs 34.0%; adjusted difference = +2.8 percentage points; 95% confidence interval (CI) = 1.0-4.6) but fewer repeated hospitalizations (14.5% vs 15.2%; adjusted difference = -1.7 percentage points; CI = -3.1 to -.3). Other measures did not differ for the two groups. Although the ICU admission rates tended to decrease as ACO-penetration rates increased (P < .01), ACO patients had higher rates of ICU admission than non-ACO patients in both medium and high ACO-penetration HRRs. CONCLUSION: Cancer patients attributed to ACOs had fewer repeated hospitalizations but more ICU admissions in the last month of life than non-ACO patients; they had similar rates of other measures of aggressive care at the EoL. This suggests opportunities for ACOs to improve EoL care for cancer patients. J Am Geriatr Soc 67:961-968, 2019.

Temporal Trends Between 2010 and 2015 in Intensity of Care at End-of-Life for Patients With Chronic Illness: Influence of Age Under vs. Over 65 Years.

CONTEXT: Recent analyses of Medicare data show decreases over time in intensity of end-of-life care. Few studies exist regarding trends in intensity of end-of-life care for those under 65 years of age. OBJECTIVES: To examine recent temporal trends in place of death, and both hospital and intensive care unit (ICU) utilization, for age-stratified decedents with chronic, life-limiting diagnoses (<65 vs. ≥65 years) who received care in a large healthcare system. METHODS: Retrospective cohort using death certificates and electronic health records for 22,068 patients with chronic illnesses who died between 2010 and 2015. We examined utilization overall and stratified by age using multiple regression. RESULTS: The proportion of deaths at home did not change, but hospital admissions in the last 30 days of life decreased significantly from 2010 to 2015 (hospital b = -0.026; CI = -0.041, -0.012). ICU admissions in the last 30 days also declined over time for the full sample and for patients aged 65 years or older (overall b = -0.023; CI = -0.039, -0.007), but was not significant for younger decedents. Length of stay (LOS) did not decrease for those using the hospital or ICU. CONCLUSION: From 2010 to 2015, we observed a decrease in hospital admissions for all age groups and in ICU admissions for those over 65 years. As there were no changes in the proportion of patients with chronic illness who died at home nor in hospital or ICU LOS in the last 30 days, hospital and ICU admissions in the last 30 days may be a more responsive quality metric than site of death or LOS for palliative care interventions.