Differences in end-of-life care patterns between types of hospice used for cancer patients: a retrospective cohort study.

BACKGROUND: In response to the rapid aging population and increasing number of cancer patients, discussions on dignified end-of-life (EoL) decisions are active around the world. Therefore, this study aimed to identify the differences in EoL care patterns between types of hospice used for cancer patients. METHODS: In this population-based cohort study, the Korean National Health Insurance Service cohort data containing all registered cancer patients who died between 2017 and 2021 were used. A total of 408,964 individuals were eligible for analysis. The variable of interest, the type of hospice used in the 6 months before death, was classified as follows: (1) Non-hospice users; (2) Hospital-based hospice single users; (3) Home-based hospice single users; (4) Combined hospice users. The outcomes were set as patterns of care, including intense care and supportive care. To identify differences in care patterns between hospice types, a generalized linear model with zero-inflated negative binomial distribution was applied. RESULTS: Hospice enrollment was associated with less intense care and more supportive care near death. Notably, those who used combined hospice care had the lowest probability and frequency of receiving intense care (aOR: 0.18, 95% CI: 0.17-0.19, aRR: 0.47, 95% CI: 0.44-0.49), while home-based hospice single users had the highest probability and frequency of receiving supportive care (Prescription for narcotic analgesics, aOR: 2.95, 95% CI: 2.69-3.23, aRR: 1.45, 95% CI: 1.41-1.49; Mental health care, aOR: 3.40, 95% CI: 3.13-3.69, aRR: 1.35, 95% CI: 1.31-1.39). CONCLUSION: Our findings suggest that although intense care for life-sustaining decreases with hospice enrollment, QoL at the EoL actually improves with appropriate supportive care. This study is meaningful in that it not only offers valuable insight into hospice care for terminally ill patients, but also provides policy implications for the introduction of patient-centered community-based hospice services.

Variation in Hospice Patient and Admission Characteristics by Referral Location.

BACKGROUND: Little is known regarding differences between patients referred to hospice from different care locations. OBJECTIVE: The objective this study was to describe the associations between hospice referral locations and hospice patient and admission characteristics. RESEARCH DESIGN: Cross-sectional analysis of hospice administrative data. SUBJECTS: Adult (age older than 18 y) decedents of a national, for-profit, hospice chain across 19 US states who died between January 1, 2012, and December 31, 2016. MEASURES: Patients' primary hospice diagnosis, hospice length stay, and hospice care site. We also determined the frequency of opioid prescriptions with and without a bowel regimen on hospice admission. RESULTS: Among 78,647 adult decedents, the mean age was 79.2 (SD=13.5) years, 56.4% were female, and 69.9% were a non-Hispanic White race. Most hospice referrals were from the hospital (51.9%), followed by the community (21.9%), nursing homes (17.4%), and assisted living (8.8%). Cancer (33.6%) was the most prevalent primary hospice diagnosis; however, this varied significantly between referral locations (P<0.001). Similarly, home hospice (32.8%) was the most prevalent site; however, this also varied significantly between referral locations (P<0.001). More hospital-referred patients (55.6%) had a hospice length of stay <7 days compared with patients referred from nursing homes (30.3%), the community (28.9%), or assisted living (18.7%), P<0.001. Hospital-referred patients also had the lowest frequency (58.4%) of coprescribed opioids and bowel regimen on hospice admission compared with other referral locations. CONCLUSION: We observed significant differences in hospice patient and admission characteristics by referral location.

Effectiveness of home hospice care: a nationwide prospective observational study.

PURPOSE: Many assert the need for home hospice care. However, limited research has shown its effectiveness. The authors of this study thus evaluated the effectiveness of a home hospice care pilot project regarding (1) early enrollment in hospice care, (2) efficient use of inpatient hospice resources, and (3) enabling terminally ill patients to stay at their preferred place of care. METHODS: The authors conducted a nationwide prospective observational study. Patients were divided into home hospice care users (ever-users, n = 902) and inpatient-only hospice care users (never-users, n = 8210). Information about hospice service utilization was collected from a web-based registry system. Patients were registered if they started to receive the hospice service after providing written informed consent during the pilot project from March 2016-July 2017. RESULTS: Most ever-users preferred to stay at home (84.0%), while never-users preferred hospital admission (66.9%). Most ever-users were enrolled in hospice by home care (78.9%) and used both home and inpatient care (72.4%). The overall duration of hospice care was significantly longer among ever-users than never-users (median 39 vs. 15 days, respectively; mean ± SD 59.6 ± 62.8 vs. 24.8 ± 32.1, respectively; p < .001). Participation in the pilot program improved bed utilization (p = .025) and turnover rate (p < .001) of inpatient hospice service. CONCLUSIONS: Home hospice care enabled early enrollment in hospice services and provided a valid option to patients who wished to stay at home. Policy efforts to facilitate home hospice care are needed.

Response and role of palliative care during the COVID-19 pandemic: A national telephone survey of hospices in Italy.

BACKGROUND: Palliative care is an important component of health care in pandemics, contributing to symptom control, psychological support, and supporting triage and complex decision making. AIM: To examine preparedness for, and impact of, the COVID-19 pandemic on hospices in Italy to inform the response in other countries. DESIGN: Cross-sectional telephone survey, in March 2020. SETTING: Italian hospices, purposively sampled according to COVID-19 regional prevalence categorised as high (>25), medium (15-25) and low prevalence (<15) COVID-19 cases per 100,000 inhabitants. A brief questionnaire was developed to guide the interviews. Analysis was descriptive. RESULTS: Seven high, five medium and four low prevalence hospices provided data. Two high prevalence hospices had experienced COVID-19 cases among both patients and staff. All hospices had implemented policy changes, and several had rapidly implemented changes in practice including transfer of staff from inpatient to community settings, change in admission criteria and daily telephone support for families. Concerns included scarcity of personal protective equipment, a lack of hospice-specific guidance on COVID-19, anxiety about needing to care for children and other relatives, and poor integration of palliative care in the acute planning response. CONCLUSION: The hospice sector is capable of responding flexibly and rapidly to the COVID-19 pandemic. Governments must urgently recognise the essential contribution of hospice and palliative care to the COVID-19 pandemic and ensure these services are integrated into the health care system response. Availability of personal protective equipment and setting-specific guidance is essential. Hospices may also need to be proactive in connecting with the acute pandemic response.

A non-lab nomogram of survival prediction in home hospice care patients with gastrointestinal cancer.

BACKGROUND: Patients suffering from gastrointestinal cancer comprise a large group receiving home hospice care in China, however, little is known about the prediction of their survival time. This study aimed to develop a gastrointestinal cancer-specific non-lab nomogram predicting survival time in home-based hospice. METHODS: We retrospectively studied the patients with gastrointestinal cancer from a home-based hospice between 2008 and 2018. General baseline characteristics, disease-related characteristics, and related assessment scale scores were collected from the case records. The data were randomly split into a training set (75%) for developing a predictive nomogram and a testing set (25%) for validation. A non-lab nomogram predicting the 30-day and 60-day survival probability was created using the least absolute shrinkage and selection operator (LASSO) Cox regression. We evaluated the performance of our predictive model by means of the area under receiver operating characteristic curve (AUC) and calibration curve. RESULTS: A total of 1618 patients were included and divided into two sets: 1214 patients (110 censored) as training dataset and 404 patients (33 censored) as testing dataset. The median survival time for overall included patients was 35 days (IQR, 17-66). The 5 most significant prognostic variables were identified to construct the nomogram among all 28 initial variables, including Karnofsky Performance Status (KPS), abdominal distention, edema, quality of life (QOL), and duration of pain. In training dataset validation, the AUC at 30 days and 60 days were 0.723 (95% CI, 0.694-0.753) and 0.733 (95% CI, 0.702-0.763), respectively. Similarly, the AUC value was 0.724 (0.673-0.774) at 30 days and 0.725 (0.672-0.778) at 60 days in the testing dataset validation. Further, the calibration curves revealed good agreement between the nomogram predictions and actual observations in both the training and testing dataset. CONCLUSION: This non-lab nomogram may be a useful clinical tool. It needs prospective multicenter validation as well as testing with Chinese clinicians in charge of hospice patients with gastrointestinal cancer to assess acceptability and usability.

Professional oral care in end-of-life patients with advanced cancers in a hospice ward: improvement of oral conditions.

BACKGROUND: In end-of-life patients with advanced cancers, oral examination, oral care, and oral re-examination are crucial. Although oral symptoms are among the major complaints of end-of-life patients, few studies have focused on oral care in these patients. In this study, the association between oral symptoms and oral dryness among end-of-life patients was examined, and improvement of oral conditions after oral care interventions by a professional dentist was quantified. METHODS: This prospective intervention study included 27 terminally ill patients with advanced cancers in a hospice ward. Professional oral care was administered every morning, and the improvement of oral conditions was assessed by comparing oral conditions before and after the intervention. Oral assessment was performed using the Oral Health Assessment Tool (OHAT) and Oral Assessment Guide. Oral dryness was evaluated through Clinical Diagnosis Classification of oral dryness and an oral moisture device. Oral cleanliness was evaluated using a bacterial counter, and tongue smears were collected for Candida examination; furthermore, oral function was recorded. RESULTS: The presence of oral mucositis was closely associated with severe oral dryness (odds ratio [OR] = 14.93; 95% confidence interval [CI]: 1.95-114.38). The level of oral debris retention was significantly related to the degree of oral dryness (OR = 15.97; 95% CI: 2.06-123.72). The group with higher scores (OHAT > 8), which represent poor oral conditions, showed severe oral dryness (OR = 17.97; 95% CI: 1.45-223.46). Total OHAT scores (median: 7 vs 2) and those of other subgroups (lip, tongue, gums and tissues, saliva, and oral cleanliness showed a significant decrease after the intervention. Furthermore, the occurrence of mucositis (47.1% vs 0%), candidiasis rate (68.8% vs 43.8%), oral dryness self-sensation (63.6% vs 9.1%), and severe oral debris (52.9% vs 11.8%) decreased significantly. CONCLUSIONS: Proper oral care can improve oral health and hygiene, reduce the rate of mucositis, reduce the sensation of oral dryness, increase oral moisture, and reduce the chances of oral infections among end-of-life patients. Daily oral care is necessary and can alleviate oral discomfort, increase food intake, and increase the chances of communication between end-of-life patients and their families.

Differences in well-being and fear of death among female hospice employees and volunteers in Hungary.

BACKGROUND: Voluntary work plays a significant role in hospice care, but international research has mainly been conducted on the mental health and fear of death of paid hospice staff. The aim of the present study was to compare the Hungarian hospice volunteers with paid employees with regard to attitudes and fear of death, as well as mental health in order to see their role in hospice work and their psychological well-being more clearly. METHODS: The target population of the cross-sectional questionnaire study was hospice care providers in Hungary (N = 1255). The response rate was 15.5% (N = 195); 91.8% (N = 179) of them were women. The mean age of female hospice workers was 45.8 years (SD = 10.46 years, range: 23-73 years). One-quarter (27.9%, N = 50) of the female respondents were volunteers. The instruments were: the Multidimensional Fear of Death Scale, the Perceived Stress Scale, the WHO-5 Well-Being Index, and a shortened versions of the Beck Depression Inventory and the Maastricht Vital Exhaustion Questionnaire. RESULTS: Volunteers scored significantly lower on 5 dimensions of fear of death than paid employees, and showed significantly lower levels of vital exhaustion and significantly higher levels of psychological well-being than paid employees. Fear of the dying process was associated with an increased perceived stress, depressive symptoms, and vital exhaustion in both groups. Psychological well-being showed a significant negative, moderate correlation with four aspects of fear of death among paid staff; this pattern did not appear in the volunteer group. In addition, the association between fear of premature death and perceived stress, vital exhaustion, and depressive symptoms was more pronounced is case of paid workers. CONCLUSION: Higher levels of psychological well-being and lower levels of fear of death among hospice volunteers suggest that they are less exhausted than paid employees. Increasing the recruitment of volunteers in hospices may help reduce the overload and exhaustion of paid employees.

Association between advanced cancer patient-caregiver agreement regarding prognosis and hospice enrollment.

BACKGROUND: Patients with advanced, incurable cancer who understand their illness is incurable are more likely to prefer hospice care at the end of life compared with patients who believe their illness is curable. To the authors' knowledge, it is unclear whether patient-caregiver agreement regarding perceived prognosis is associated with hospice enrollment. METHODS: The current study examined the prospective relationship between patient-caregiver agreement concerning perceived prognosis and hospice enrollment in the last 30 days of life. Data were collected during a cluster randomized controlled trial examining a communication intervention for oncologists and patients with advanced cancer and their caregivers. At the time of study entry, patients and caregivers (141 dyads) were categorized as endorsing a "good" prognosis if they: 1) reported a >50% chance of surviving ≥2 years; or if they 2) predicted that the patient's quality of life 3 months into the future would be ≥7 on an 11-point scale. RESULTS: Approximately one-fifth of dyads agreed on a poor prognosis whereas approximately one-half disagreed regarding prognosis. In approximately one-third of dyads, patients and caregivers both believed the patient's future quality of life would be good (34%) and that the patient would live for ≥2 years (30%). Patients in these dyads were less likely to enroll in hospice compared with patients in dyads who disagreed and those who agreed on a shorter life expectancy and poor future quality of life. CONCLUSIONS: Dyadic understanding of patients' projected life expectancy and future quality of life appears to be predictive of care received at the end of life. Improving rates of hospice enrollment may be best achieved with dyadic interventions.

Determining the Association Between End-of-Life Care Resources and Patient Outcomes in Pennsylvania ICUs.

OBJECTIVES: As ICUs are increasingly a site of end-of-life care, many have adopted end-of-life care resources. We sought to determine the association of such resources with outcomes of ICU patients. DESIGN: Retrospective cohort study. SETTING: Pennsylvania ICUs. PATIENTS: Medicare fee-for-service beneficiaries. INTERVENTIONS: Availability of any of one hospital-based resource (palliative care consultants) or four ICU-based resources (protocol for withdrawal of life-sustaining therapy, triggers for automated palliative care consultation, protocol for family meetings, and palliative care clinicians embedded in ICU rounds). MEASUREMENTS AND MAIN RESULTS: In mixed-effects regression analyses, admission to a hospital with end-of-life resources was not associated with mortality, length of stay, or treatment intensity (mechanical ventilation, hemodialysis, tracheostomy, gastrostomy, artificial nutrition, or cardiopulmonary resuscitation); however, it was associated with a higher likelihood of discharge to hospice (odds ratio, 1.58; 95% CI, 1.11-2.24), an effect that was driven by ICU-based resources (odds ratio, 1.37; 95% CI, 1.04-1.81) rather than hospital-based resources (odds ratio, 1.19; 95% CI, 0.83-1.71). Instrumental variable analysis using differential distance (defined as the additional travel distance beyond the hospital closest to a patient's home needed to reach a hospital with end-of-life resources) demonstrated that among those for whom differential distance would influence receipt of end-of-life resources, admission to a hospital with such resources was not associated with any outcome. CONCLUSIONS: ICU-based end-of-life care resources do not appear to change mortality but are associated with increased hospice utilization. Given that this finding was not confirmed by the instrumental variable analysis, future studies should attempt to verify this finding, and identify specific resources or processes of care that impact the care of ICU patients at the end of life.

Factors Associated With Hospices' Nonparticipation in Medicare's Hospice Compare Public Reporting Program.

BACKGROUND: To enhance the quality of hospice care and to facilitate consumers' choices, the Centers for Medicare and Medicaid Services (CMS) began the Hospice Quality Reporting Program, in which CMS posted the quality measures of participating hospices on its reporting website, Hospice Compare. Little is known about the participation rate and the types of nonparticipating hospices. OBJECTIVE: To examine the factors associated with hospices' nonparticipation in Hospice Compare. RESEARCH DESIGN: We analyzed data from the CMS 2016 Hospice Compare. "Nonparticipants" were those who did not submit any quality measure. With the data of the Provider of Service file, the Healthcare Cost Report Information System, and the Area Health Resources File, multivariate logistic regressions estimated the association between nonparticipants and hospice and market characteristics, including ownership, size, nurse staffing ratio, and market competition intensity. RESULTS: Among the 4123 certified hospices subject to penalty from nonparticipation, 259 did not participate in Hospice Compare. California, New Mexico, Texas, and Wyoming had participation rates lower than 80%. Hospices that were for-profit, had no accreditation, had few nurses per patient day, provided no inpatient care, and were located in competitive markets were less likely to participate than other hospices. CONCLUSIONS: Hospice Compare successfully motivated hospice in participating in the quality report program in most of states. For-profit hospices, hospices with less quality, and hospices located in competitive markets were less likely to participate. Further research is warranted to examine the quality of these nonparticipants, especially in the 4 states with a lower participation rate.

Hospice utilization in advanced cervical malignancies: An analysis of the National Inpatient Sample.

OBJECTIVE: Hospice services improve quality of life and outcomes for patients and caretakers, compared to inpatient mortality. This study identifies factors that exert the strongest influence on end-of-life care modalities in patients with cervical cancer. METHODS: Admissions with a diagnosis of cervical cancer that were discharged to hospice or died in-hospital were identified in the National Inpatient Sample years 2007-2011, excluding admissions coded for hysterectomy. Logistic regression models were used to examine differences in age, race, length of stay, primary payer, hospital region, admission type, hospital bedsize, hospital teaching status, income quartile, and Elixhauser comorbidity index score between the groups. RESULTS: 2073 admissions with a diagnosis of cervical cancer resulting in hospice discharge (n = 1290) or inpatient death (n = 783) were identified. Age (P = 0.01), hospital region (P = 0.01), length of hospitalization (P < 0.01), Elixhauser comorbidity index score (P = 0.03), and urban vs. rural location (P = 0.01) had a significant impact on disposition in univariate analysis. Admissions of patients categorized as Asian/Pacific Islander (OR = 2.24, 95% CI 1.11-4.49), hospitalizations lasting 0-3 days (OR = 1.57, 95% CI 1.21-2.03), and admissions in rural areas (OR = 1.62, 95% CI 1.12-2.36) had higher rates of in-hospital death compared to the reference groups. Patients aged 18-45 years (OR = 0.69, 95% CI 0.52-0.90) and those treated in the South (OR 0.59, 95% CI 0.45-0.77) and West (OR = 0.50, 95% CI 0.30-0.81) had lower odds ratios of inpatient mortality. CONCLUSION: Modalities of care in terminal cervical cancer vary among sociodemographic and clinical factors. This data underscores the continued push for improved end-of-life care among cervical cancer patients and can guide clinicians in appropriate targeted counseling to increase utilization of hospice resources.

How we use hospice: Hospice enrollment patterns and costs in elderly ovarian cancer patients.

OBJECTIVE: To describe disparities in patterns of hospice use and end-of-life costs among ovarian cancer patients. METHODS: Using Texas Cancer Registry-Medicare data, ovarian cancer patients deceased 2005-2012 with >12 months of continuous Medicare coverage before death were included. Descriptive statistics and multivariable logistic regressions were used to evaluate patterns of hospice use. Cost and resource utilization was obtained from Medicare claims and analyzed using a non-parametric Mann-Whitney test. RESULTS: 2331 patients were assessed: 1788 (77%) white, 359 (15%) Hispanic, 158 (7%) black and 26 (1%) other. 1756 (75%) enrolled in hospice prior to death but only 1580 (68%) died with hospice. 176 (10%) of 1756 patients unenrolled and died without hospice. 346 (20%) unenrolled from hospice multiple times. From 2008 to 2012, patients were less likely to unenroll from hospice prior to death. Black patients were more likely to unenroll from hospice prior to death (OR 2.07 [1.15-3.73]; p = 0.02) compared to white patients. The median amount paid by Medicare during the last six months of life was $38,530 for those in hospice compared to $49,942 if never enrolled in hospice (p < 0.0001) and was higher for black and Hispanic patients compared to white patients. 30% hospice unenrolled patients and 40% multiply enrolled hospice patients received at least one life extending or invasive care procedure following unenrollment from hospice. CONCLUSION: Recently, more patients remain enrolled in hospice, but black patients have a higher risk of unenrollment. Hospice enrollment was associated with lower costs as long as a patient did not unenroll from hospice.

Validation of the Mindful Self-Care Scale (MSCS) and development of the Brief-MSCS among hospice and healthcare professionals: a confirmatory factor analysis approach to validation.

OBJECTIVE: In the emotionally intense field of healthcare, the ability to peacefully inhabit one's body, maintain good boundaries, and be fully present during care is essential. This study aimed to validate the recently developed Mindful Self-Care Scale (MSCS) among hospice and healthcare professionals and develop a brief version of the 33-item MSCS. METHOD: A sample of hospice and healthcare professionals from all 50 states (n = 858) was used. A confirmatory factor analysis was run using a rigorous methodology for validation and item reduction to develop a brief version of the 33-item MSCS. The brief MSCS (B-MSCS) was developed by identifying items for exclusion through examination of conceptual overlap, descriptive statistics by detecting sources of improvement model fit using confirmatory factor analysis. Model modifications were done sequentially and with regard to theoretical considerations. RESULT: The existing model, 33-item MSCS with six subscales, had good fit to the data with all indicators in acceptable ranges (chi-square/df = 3.08, df (480), p < 0.01, root mean square error of approximation = 0.059, comparative fit index = 0.915, Tucker and Lewis's index of fit = 0.907). Nine items were excluded on the basis of very low loadings and conceptual and empirical overlap with other items. SIGNIFICANCE OF RESULTS: The final 24-item, B-MSCS model was consistent with the original conceptual model and had a closer fit to the data (chi-square/df = 1.85, df (215), p < 0.01, root mean square error of approximation = 0.041, comparative fit index = 0.961, Tucker and Lewis's index of fit = 0.955). In addition, the reliability, construct, and concurrent validity of the MSCS and B-MSCS were in the acceptable and good ranges, respectively. Mean and standard deviation of the MSCS and B-MSCS scores were similar; B-MSCS mean scores well approximated the MSCS scores. Informal mindful self-care, in the process of everyday life, was practiced more regularly and associated with increased wellness and reduced burnout risk than formal mind-body practices.

Place of death for patients with cancer in the United States, 1999 through 2015: Racial, age, and geographic disparities.

BACKGROUND: Place of death is an essential component of high quality cancer care and comprehensive national trends and disparities in place of death are unknown. METHODS: Deidentified death certificate data were obtained via the National Center for Health Statistics. All cancer deaths from 1999 through 2015 were included. Multivariate logistic regression was used to test for disparities in place of death associated with sociodemographic variables. RESULTS: From 1999 through 2015, a total of 9,646,498 cancer deaths occurred. Hospital deaths decreased (from 36.6% to 24.6%), whereas the rate of home deaths (38.4% to 42.6%) and hospice facility deaths (0% to 14.0%) both increased (all P<.001). On multivariate logistic regression, all assessed variables were found to be associated with place of death. Specifically, younger age (age birth-14 years: odds ratio [OR], 2.39; age 25-44 years: OR, 1.62), black (OR, 1.83) or Asian (OR, 1.74) race, and Hispanic ethnicity (OR, 1.41) were associated with hospital death. Being married (OR, 2.17) or widowed (OR, 1.56) was associated with home death whereas increasing educational level (OR, 1.15-1.19) was associated with hospice death (all P<.001). Despite overall improvements, certain disparities were found to increase. For young patients, the likelihood of a hospital death increased from 2.3 times to 3.4 times that of older patients (50.9% for those aged 15-24 years vs 15.0% for those aged ≥85 years in 2015). For black patients, the likelihood of a hospital death increased from 1.29 times to 1.42 times that of white patients (32.8% for black patients vs 23.1% for white patients in 2015). CONCLUSIONS: Hospital cancer deaths decreased by approximately one-third with commensurate increases in home and hospice facility deaths. Many sociodemographic groups experience significant disparities with regard to place of death and may benefit from targeted efforts to improve goal-concordant care.

Predicting non-home discharge in epithelial ovarian cancer patients: External validation of a predictive model.

OBJECTIVE: To externally validate a model predicting non-home discharge in women undergoing primary cytoreductive surgery (CRS) for epithelial ovarian cancer (EOC). METHODS: Women undergoing primary CRS via laparotomy for EOC at three tertiary medical centers in an academic health system from January 2010 to December 2015 were included. Patients were excluded if they received neoadjuvant chemotherapy, had a non-epithelial malignancy, were not undergoing primary cytoreduction, or lacked documented model components. Non-home discharge included skilled nursing facility, acute rehabilitation facility, hospice, or inpatient death. The predicted probability of non-home discharge was calculated using age, pre-operative CA-125, American Society of Anesthesiologists (ASA) score and Eastern Cooperative Oncology Group (ECOG) performance status as described in the previously published predictive model. Model discrimination was calculated using a concordance index and calibration curves were plotted to characterize model performance across the cohort. RESULTS: A total of 204 admissions met inclusion criteria. The overall rate of non-home discharge was 12% (95% CI 8-18%). Mean age was 60.8 years (SD 11.0). Median length of stay (LOS) was significantly longer for patients with non-home discharge (8 vs. 5 days, P < 0.001). The predictive model had a concordance index of 0.86 (95% CI 0.76-0.93), which was similar to model performance in the original study (CI 0.88). The model provided accurate predictions across all probabilities (0 to 100%). CONCLUSIONS: Non-home discharge can be accurately predicted using preoperative clinical variables. Use of this validated non-home discharge predictive model may facilitate preoperative patient counseling, early discharge planning, and potentially decrease cost of care.

Advanced imaging and hospice use in end-of-life cancer care.

INTRODUCTION: Advanced imaging can inform prognosis and may be a mechanism to de-escalate unnecessary end-of-life care in patients with cancer. Associations between greater use of advanced imaging and less-aggressive end-of-life care in real-world practice has not been examined. METHODS: We conducted a retrospective analysis of SEER-Medicare data on patients who died from breast, lung, colorectal, or prostate cancer between 2002 and 2007. Hospital referral region (HRR)-level use of computerized tomography (CT), magnetic resonance imaging, and positron emission tomography was categorized by tertile of imaging use and correlated with hospice enrollment overall and late hospice enrollment using multivariable logistic regression. RESULTS: A total of 55,058 patients met study criteria. Hospice use ranged from 50.8% (colorectal cancer) to 62.1% (prostate cancer). In multivariable analyses, hospital referral regions (HRRs) with high rates of CT imaging were associated with lower odds of hospice enrollment (odds ratio, 0.80; 95% CI, 0.70-0.90) and late enrollment among those who did enroll (odds ratio, 1.49; 95% CI, 1.26-1.76). HRRs with the highest rates of CT use were predominantly located in the Midwest and Northeast and associated with higher percentage population of black patients (14.5 vs 5.6%), greater comorbidity (28.4 vs 23.7%), metropolitan residence (93.9 vs 78.5%), and less than high school education (26.4 vs 19.3%). CONCLUSION: In this population-based retrospective study, we did not observe evidence that overall and timely hospice are associated with higher rates of imaging near the end of life. An observed association between higher rates of imaging, particularly CT, may be explained in part by HRR-level differences in practice patterns and patient demographic characteristics. Further research is warranted to explore the ability of oncologic imaging to appropriately de-escalate care.

End-of-Life Care for Patients With Advanced Ovarian Cancer Is Aggressive Despite Hospice Intervention: A Population-Based Study.

OBJECTIVE: To date, few studies have examined end-of-life (EOL) care and healthcare costs for patients with ovarian cancer. We evaluated the effects of hospice care on the quality of EOL care and healthcare costs for patients with ovarian cancer in the final month of life. MATERIALS AND METHODS: We conducted a population-based study and analyzed data from Taiwan's Longitudinal Health Insurance Database, which contains claims information for medical records of patients, healthcare costs, and insurance system exit dates: our proxy for death between 1997 and 2011. RESULTS: A total of 176 women who died of ovarian cancer were investigated. Of these patients, 32 (18.2%) had received hospice care. Univariate analysis revealed that the patients with hospice care (H group) had lower proportions of intensive care unit admission (0% vs 15.3%) and cardiopulmonary resuscitation (0% vs 18.1%). The mean health care cost per person during the final month of life for H group was approximately 5.5% significantly higher than patients without hospice care (non-H group) (US $3121 ± $376 vs $2957 ± $347). The effects of hospice care on intensive care unit admission, receipt of cardiopulmonary resuscitation, and more than 1 emergency room visit could not be assessed because no cases of these 3 occurrences were observed among the H group by the multivariate regression model. No significant difference was observed between the H and non-H groups in terms of chemotherapy during the final 2 weeks of life. The H group had higher probabilities for more than 1 hospitalization and death in acute hospitals after adjusting for confounders. CONCLUSIONS: The aggressiveness of EOL cancer care and healthcare costs could not be offset in the final month of life among women with advanced ovarian cancer who received hospice care. The factors of more hospitalizations and dying in hospital warrant further investigation.

The Impact of Sociodemographic Factors and Emergency Admissions on the Place of Death of Gynecological Cancer Patients in England: An Analysis of a National Mortality-Hospital Episode Statistics-Linked Data Set.

OBJECTIVE: The aim of this study was to develop a predictive model for risk of death in hospital for gynecological cancer patients specifically examining the impact of sociodemographic factors and emergency admissions to inform patient choice in place of death. METHODS: The model was based on data from 71,269 women with gynecological cancer as underlying cause of death in England, January 1, 2000, to July 1, 2012, in a national Hospital Episode Statistics-Office for National Statistics database. Two thousand eight hundred eight deaths were used for validation of the model. Logistic regression identified independent predictors of a hospital death: adjusting for year of death, age group, income deprivation quintile, Strategic Health Authority, gynecological cancer site, and number of elective and emergency hospital admissions and respective total durations of stay. RESULTS: Forty-three percent of deaths from gynecological cancer occurred in hospital. The variables significantly predicting death in hospital were less recent year of death (odds ratio [OR], 0.93; P < 0.001), increasing age (OR, 1.17; P < 0.001), increasing deprivation (OR, 1.06; P < 0. 001), increasing frequency and length of elective and emergency admissions (P < 0.001). The model correctly identified 73% of hospital deaths with a sensitivity of 75% and a specificity of 72%. The areas under the receiver operating curve were 0.78 for the predictive model and 0.71 for the validation data set. Each subsequent emergency admission in the last month of life increased the odds of death in hospital by 2.4 times (OR, 2.38; P < 0.001). Hospital deaths were significantly lower in all other regions compared with London. The model predicted a 16% reduction of deaths in hospital if 50% of emergency hospital admissions in the last month of life could be avoided by better community care. CONCLUSIONS: Our findings could enable identification of patients at risk of dying in hospital to ensure greater patient choice for place of death.

Association of hospice utilization and publicly reported outcomes following hospitalization for pneumonia or heart failure: a retrospective cohort study.

BACKGROUND: The Center for Medicare and Medicaid Services (CMS) and the Hospital Quality Alliance began collecting and reporting United States hospital performance in the treatment of pneumonia and heart failure in 2008. Whether the utilization of hospice might affect CMS-reported mortality and readmission rates is not known. METHODS: Hospice utilization (mean days on hospice per decedent) for 2012 from the Dartmouth Atlas (a project of the Dartmouth Institute that reports a variety of public health and policy-related statistics) was merged with hospital-level 30-day mortality and readmission rates for pneumonia and heart failure from CMS. The association between hospice use and outcomes was analyzed with multivariate quantile regression controlling for quality of care metrics, acute care bed availability, regional variability and other measures. RESULTS: 2196 hospitals reported data to both CMS and the Dartmouth Atlas in 2012. Higher rates of hospice utilization were associated with lower rates of 30-day mortality and readmission for pneumonia but not for heart failure. Higher quality of care was associated with lower rates of mortality for both pneumonia and heart failure. Greater acute care bed availability was associated with increased readmission rates for both conditions (p < 0.05 for all). CONCLUSIONS: Higher rates of hospice utilization were associated with lower rates of 30-day mortality and readmission for pneumonia as reported by CMS. While causality is not established, it is possible that hospice referrals might directly affect CMS outcome metrics. Further clarification of the relationship between hospice referral patterns and publicly reported CMS outcomes appears warranted.

Changes in Hospital-Physician Affiliations in U.S. Hospitals and Their Effect on Quality of Care.

BACKGROUND: Growing evidence shows that hospitals are increasingly employing physicians. OBJECTIVE: To examine changes in U.S. acute care hospitals that reported employment relationships with their physicians and to determine whether quality of care improved after the hospitals switched to this integration model. DESIGN: Retrospective cohort study of U.S. acute care hospitals between 2003 and 2012. SETTING: U.S. nonfederal acute care hospitals. PARTICIPANTS: 803 switching hospitals compared with 2085 nonswitching control hospitals matched for year and region. INTERVENTION: Hospitals' conversion to an employment relationship with any of their privileged physicians. MEASUREMENTS: Risk-adjusted hospital-level mortality rates, 30-day readmission rates, length of stay, and patient satisfaction scores for common medical conditions. RESULTS: In 2003, approximately 29% of hospitals employed members of their physician workforce, a number that rose to 42% by 2012. Relative to regionally matched controls, switching hospitals were more likely to be large (11.6% vs. 7.1%) or major teaching hospitals (7.5% vs. 4.5%) and less likely to be for-profit institutions (8.8% vs. 19.9%) (all P values <0.001). Up to 2 years after conversion, no association was found between switching to an employment model and improvement in any of 4 primary composite quality metrics. LIMITATIONS: The measure of integration used depends on responses to the American Hospital Association annual questionnaire, yet this measure has been used by others to examine effects of integration. The study examined performance up to 2 years after evidence of switching to an employment model; however, beneficial effects may have taken longer to appear. CONCLUSION: During the past decade, hospitals have increasingly become employers of physicians. The study's findings suggest that physician employment alone probably is not a sufficient tool for improving hospital care. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality and National Science Foundation Graduate Research Fellowship.