Adult Cancer Patients' Perceptions of Factors That Influence Hospital Admissions

PURPOSE/AIMS

To explore cancer patients' perceptions of factors that influence hospital readmissions.

DESIGN

A cross-sectional, prospective design was employed utilizing a 1-time survey and brief interviews to measure patients' perceptions and unplanned hospital admissions.

METHODS AND VARIABLES

The principal investigator collected data from medical record review, the Hospital Admission Survey, and interviews to measure patient characteristics and perceptions of influencing factors that contributed to an unplanned hospital admission upon admission. Data were analyzed using descriptive statistics to categorize patient perceptions of influencing factors of unplanned hospital admissions.

RESULTS

The top reasons for admission were symptoms of uncontrolled gastrointestinal, pain, fever, and respiratory problems. The majority perceived the admission was unavoidable and wanted to avoid an admission. Perceived influencing factors were related to survey categories of 1) communication (ie, cannot reach physician anytime, cannot get a next-day appointment, medical problems are out of control, advised to go to the emergency department) and 2) home environment (ie, unable to adequately manage symptoms at home and hospital admission is the best place for care). Other survey categories of patient education and palliative care were not perceived as influencing or contributing factors.

CONCLUSIONS

These findings highlight opportunities for clinical nurse specialists to target these vulnerable patients and provide expert consultation to address potential barriers and gaps in utilization of appropriate supportive services that may reduce unplanned hospital admissions.

Digitally Enabled Transitional Care Management in Oncology

PURPOSE

Improving care transitions for patients with cancer discharged from the hospital is considered an important component of quality care. Digital monitoring has the potential to better the delivery of transitional care through improved patient-provider communication and enhanced symptom management. However, remote patient monitoring (RPM) interventions have not been widely implemented for oncology patients after discharge, an innovative setting in which to apply this technology.

METHODS

We implemented a RPM intervention which identifies medical oncology patients at discharge, monitors their symptoms for 10 days, and intervenes as necessary to manage symptoms. We evaluated the feasibility (>50% patient engagement with symptom assessment), appropriateness (symptom alerts), and acceptability (net promoter score >0.7) of the intervention and the initial effect on acute care visits and return on investment.

RESULTS

During the study period, January 1, 2021, to December 31, 2022, we evaluated 2,257 medical oncology discharges representing 1,857 unique patients. We found that 65.9% of patients discharged (N = 1,489) completed at least one symptom assessment postdischarge and of them, 45.5% (n = 678) generated a severe symptom alert that we helped to manage. Patients expressed high satisfaction with the intervention with a net promoter score of 84%. In preliminary analysis of patients with GI malignancies (n = 449), we found a nonsignificant decrease in 30-day readmissions for the intervention cohort (n = 269) by 5.8% as compared with the control (n = 180; from 33.3% to 27.5%; P = .22).

CONCLUSION

Digital transitional care management was feasible and demonstrated that patients transitioning from the hospital to home have a substantial symptom burden. The intervention was associated with high patient satisfaction but will require further refinement and evaluation to increase its impact on 30-day readmission.

Outcomes of parenteral nutrition in patients with advanced cancer and malignant bowel obstruction

BACKGROUND

Malignant bowel obstruction (MBO) affects 3% to 15% of all cancer patients. In patients with advanced cancer and inoperable MBO, the average survival varies between four to nine weeks. Parenteral nutrition (PN) may improve survival in specific patient populations with malignant bowel obstruction.

AIMS

This retrospective, single-center cohort study aimed to review individual patient outcomes on PN in the setting of advanced cancer with a diagnosis of MBO and identify clinical and laboratory markers predictive of short- and long-term survival to further highlight patients that would benefit from PN in the setting of an inoperable MBO.

RESULTS

In a retrospective analysis of 68 patients receiving PN for inoperable MBO, the median survival was 142 (IQR: 63.3-239.5) days. Patients experienced a median number of two hospital readmissions (range: 0-10) and spent a median of 29 days (range: 0-105) in the hospital after starting PN. Eighteen (26.5%) patients developed a catheter-related bloodstream infection (CRBSI). A diagnosis of appendiceal cancer was identified as a predictive marker of improved survival (HR: 0.53, 95% CI: 0.29-0.92, p = 0.023).

CONCLUSIONS

The use of PN in the context of end-of-life cancer care is a practice that necessitates improvement. Recognizing the outcomes and patient experiences of PN utilization is essential to physicians and patients.

Understanding Potentially Preventable 7-day Readmission Rates in Hospital Medicine Patients at a Comprehensive Cancer Center

This study aimed to describe the potentially preventable 7-day unplanned readmission (PPR) rate in medical oncology patients. A retrospective analysis of all unplanned 7-day readmissions within Hospital Medicine at MD Anderson Cancer Center from September 1, 2020 to February 28, 2021, was performed. Readmissions were independently analyzed by 2 randomly selected individuals to determine preventability. Discordant reviews were resolved by a third reviewer to reach a consensus. Statistical analysis included 138 unplanned readmissions. The estimated PPR rate was 15.94%. The median age was 62.50 years; 52.90% were female. The most common type of cancer was noncolon GI malignancy (34.06%). Most patients had stage 4 cancer (69.57%) and were discharged home (64.93%). Premature discharge followed by missed opportunities for goals of care discussions were the most cited reasons for potential preventability. These findings highlight areas where care delivery can be improved to mitigate the risk of readmission within the medical oncology population.

The impact of a multidisciplinary goals-of-care program on unplanned readmission rates at a comprehensive cancer center

PURPOSE

This study examined the 30-day unplanned readmission rate in the medical oncology population before and after the implementation of an institution-wide multicomponent interdisciplinary goals of care (myGOC) program.

METHODS

This retrospective study compared the 30-day unplanned readmission rates in consecutive medical patients during the pre-implementation period (May 1, 2019, to December 31, 2019) and the post-implementation period (May 1, 2020, to December 31, 2020). Secondary outcomes included 7-day unplanned readmission rates, inpatient do-not-resuscitate (DNR) orders, and palliative care consults. We randomly selected a hospitalization encounter for each unique patient during each study period for statistical analysis. A multivariate analysis model was used to examine the association between 30-day unplanned readmission rates and implementation of the myGOC program.

RESULTS

There were 7028 and 5982 unique medical patients during the pre- and post-implementation period, respectively. The overall 30-day unplanned readmission rate decreased from 24.0 to 21.3% after implementation of the myGOC program. After adjusting for covariates, the myGOC program implementation remained significantly associated with a reduction in 30-day unplanned readmission rates (OR [95% CI] 0.85 [0.77, 0.95], p = 0.003). Other factors significantly associated with a decreased likelihood of a 30-day unplanned readmission were an inpatient DNR order, advanced care planning documentation, and an emergent admission type. We also observed a significant decrease in 7-day unplanned readmission rates (OR [95% CI] 0.75 [0.64, 0.89]) after implementation of the myGOC program.

CONCLUSION

The 30-day and 7-day unplanned readmission rates decreased in our hospital after implementation of a system-wide multicomponent GOC intervention.

Outcomes of parenteral nutrition in patients with advanced cancer and malignant bowel obstruction

Background

Malignant bowel obstruction (MBO) affects 3-15% of all cancer patients. In patients with advanced cancer and inoperable MBO, the average survival varies between four to nine weeks. Parenteral nutrition (PN) may improve survival in specific patient populations with malignant bowel obstruction.

Aims

This retrospective, single-center cohort study aimed to review individual patient outcomes on PN in the setting of advanced cancer with a diagnosis of MBO and identify clinical and laboratory markers predictive of short- and long-term survival to further highlight patients that would benefit from PN in the setting of an inoperable MBO.

Results

In a retrospective analysis of 68 patients receiving PN for inoperable MBO, the median survival was 142 (IQR: 63.3-239.5) days. Patients experienced a median number of two hospital readmissions (range: 0-10) and spent a median of 29 days (range: 0-105) in the hospital after starting PN. Eighteen (26.5%) patients developed a catheter-related bloodstream infection (CRBSI). A diagnosis of appendiceal cancer was identified as a predictive marker of improved survival (HR: 0.53, 95% CI: 0.29-0.92, p = 0.023).

Conclusions

The use of PN in the context of end-of-life cancer care is a practice that necessitates improvement. Recognizing the outcomes and patient experiences of PN utilization is essential to physicians and patients.

Interrelationships between Dietary Outcomes, Readmission Rates and Length of Stay in Hospitalised Oncology Patients: A Scoping Review

BACKGROUND

Poor food intake is an independent risk factor for malnutrition in oncology patients, and achieving adequate nutrition is essential for optimal clinical and health outcomes. This review investigated the interrelationships between dietary intakes, hospital readmissions and length of stay in hospitalised adult oncology patients.

METHODOLOGY

Three databases, MEDLINE, Web of Science and PubMed were searched for relevant publications from January 2000 to the end of August 2022.

RESULTS

Eleven studies investigating the effects of dietary intakes on length of stay (LOS) and hospital readmissions in cohorts of hospitalised patients that included oncology patients were identified. Heterogenous study design, nutritional interventions and study populations limited comparisons; however, a meta-analysis of two randomised controlled trials comparing dietary interventions in mixed patient cohorts including oncology patients showed no effect on LOS: mean difference -0.08 (95% confidence interval -0.64-0.49) days (p = 0.79).

CONCLUSIONS

Despite research showing the benefits of nutritional intake during hospitalisation, evidence is emerging that the relationship between intakes, LOS and hospital readmissions may be confounded by nutritional status and cancer diagnosis.

Clinical outcomes and 30-day readmissions associated with high-output heart failure

BACKGROUND

High-output heart failure (HOHF) is an underdiagnosed type of heart failure (HF) characterized by low systemic vascular resistance and high cardiac output.

OBJECTIVE

This study sought to characterize the causes, mortality, and readmissions related to HOHF within the United States.

METHODS

Data were collected from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project (HCUP) National Readmissions Database (NRD) from January 1, 2017, to November 30, 2019. We used the International Classification of Diseases, 10th revision (ICD-10), diagnostic codes to identify encounters with HOHF and heart failure with reduced ejection fraction (HFrEF).

RESULTS

Of the total 5,080,985 encounters with HF, 3,897 hospitalizations (mean age 62.5 ± 17.9 years, 56.5% females) with HOHF and 5,077,088 hospitalizations with HFrEF were recorded. The most commonly associated putative etiologies of HOHF included pulmonary disease (19.8%), morbid obesity (9.9%), sepsis (9.6%), cirrhosis (8.9%), myelodysplastic syndrome (MDS) (7.9%), hyperthyroidism (5.5%), and sickle cell disease (3.3%). There was no significant difference in mortality rates [4.3% vs. 5.2%; odds ratio (OR) 0.9, 95% confidence interval (CI) 0.7-1.2] between HOHF and HFrEF. However, the 30-day readmission rate for HOHF was significantly lower than that for HFrEF (5.7% vs. 21.2%; OR 0.39, 95% CI 0.30-0.51). Cardiovascular (39.9%) followed by hematological (20.6%) complications accounted for the majority of 30-day readmissions in the HOHF group.

CONCLUSIONS

HOHF is an infrequently reported cardiovascular complication associated with noncardiovascular disorders and is encountered in 0.07% of all encounters with HF. Although comparable in-hospital mortality between studied cohorts was observed, raising awareness and timely recognition of this entity are warranted.

Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study

BACKGROUND

Distressing cancer pain remains a serious symptom management issue for patients and family caregivers, particularly within home settings. Technology can support home-based cancer symptom management but must consider the experience of patients and family caregivers, as well as the broader environmental context.

OBJECTIVE

This study aimed to test the feasibility and acceptability of a smart health sensing system-Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C)-that was designed to support the monitoring and management of cancer pain in the home setting.

METHODS

Dyads of patients with cancer and their primary family caregivers were recruited from an outpatient palliative care clinic at an academic medical center. BESI-C was deployed in each dyad home for approximately 2 weeks. Data were collected via environmental sensors to assess the home context (eg, light and temperature); Bluetooth beacons to help localize dyad positions; and smart watches worn by both patients and caregivers, equipped with heart rate monitors, accelerometers, and a custom app to deliver ecological momentary assessments (EMAs). EMAs enabled dyads to record and characterize pain events from both their own and their partners' perspectives. Sensor data streams were integrated to describe and explore the context of cancer pain events. Feasibility was assessed both technically and procedurally. Acceptability was assessed using postdeployment surveys and structured interviews with participants.

RESULTS

Overall, 5 deployments (n=10 participants; 5 patient and family caregiver dyads) were completed, and 283 unique pain events were recorded. Using our "BESI-C Performance Scoring Instrument," the overall technical feasibility score for deployments was 86.4 out of 100. Procedural feasibility challenges included the rurality of dyads, smart watch battery life and EMA reliability, and the length of time required for deployment installation. Postdeployment acceptability Likert surveys (1=strongly disagree; 5=strongly agree) found that dyads disagreed that BESI-C was a burden (1.7 out of 5) or compromised their privacy (1.9 out of 5) and agreed that the system collected helpful information to better manage cancer pain (4.6 out of 5). Participants also expressed an interest in seeing their own individual data (4.4 out of 5) and strongly agreed that it is important that data collected by BESI-C are shared with their respective partners (4.8 out of 5) and health care providers (4.8 out of 5). Qualitative feedback from participants suggested that BESI-C positively improved patient-caregiver communication regarding pain management. Importantly, we demonstrated proof of concept that seriously ill patients with cancer and their caregivers will mark pain events in real time using a smart watch.

CONCLUSIONS

It is feasible to deploy BESI-C, and dyads find the system acceptable. By leveraging human-centered design and the integration of heterogenous environmental, physiological, and behavioral data, the BESI-C system offers an innovative approach to monitor cancer pain, mitigate the escalation of pain and distress, and improve symptom management self-efficacy.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/16178.

Expanding oncology pharmacist teams: Justifying the return on investment

Oncology pharmacists are an integral member of the cancer care multi-disciplinary team. Despite the role being previously well defined, responsibilities continue to expand. Position justification for pharmacists is a challenge with prerequisites to optimize efficient processes, promote quality and reduce overall costs. Initiation and implementation of new oncology pharmacist services requires a clear description of value to the organization and a strong understanding of workflows. Position justifications must be data-driven and unique to the organization's need and should include physician or key stakeholder support, quality initiatives, cost-savings initiatives, and revenue-generating roles. The cases and examples described serve as a reference for individuals, teams, or organizations pursuing the value of a financial investment of an oncology pharmacist to expand or initiate new pharmacy services.

Why Do Patients Undergoing Extremity Prosthetic Reconstruction for Metastatic Disease Get Readmitted?

BACKGROUND

Orthopedic oncology patients are particularly susceptible to increased readmission rates and poor surgical outcomes, yet little is known about readmission rates. The goal of this study is to identify factors independently associated with 90-day readmission for patients undergoing oncologic resection and subsequent prosthetic reconstruction for metastatic disease of the hip and knee.

METHODS

This is a retrospective comparative cohort study of all patients treated from 2013 to 2019 at a single tertiary care referral institution who underwent endoprosthetic reconstruction by an orthopedic oncologist for metastatic disease of the extremities. The primary outcome measure was unplanned 90-day readmission.

RESULTS

We identified 112 patients undergoing 127 endoprosthetic reconstruction surgeries. Metastatic disease was most commonly from renal (26.8%), lung (23.6%), and breast (13.4%) cancer. The most common type of skeletal reconstruction performed was simple arthroplasty (54%). There were 43 readmissions overall (33.9%). When controlling for confounding factors, body mass index >40, insurance status, peripheral vascular disease, and longer hospital length of stay were independently associated with risk of readmission (P ≤ .05).

CONCLUSION

Readmission rates for endoprosthetic reconstructions for metastatic disease are high. Although predicting readmission remains challenging, risk stratification presents a viable option for helping minimize unplanned readmissions.

LEVEL OF EVIDENCE

III.

Operative duration and early outcomes in patients having a supratentorial craniotomy for brain tumor: A propensity matched analysis

It is unclear how variations in operative duration affect outcomes after craniotomy for supratentorial brain tumor. We characterized three populations of patients with typical, shorter, and longer durations of craniotomy for supratentorial brain tumor using prospectively collected clinical data from 16,335 patients in the 2012-2018 ACS National Surgical Quality Improvement Program (NSQIP) database. We compared baseline characteristics including demographics, comorbidities, tumor type, and operative features. We used propensity score matching to attain covariate balance and logistic regression to assess odds of unfavorable outcomes. Patients with the shortest operation durations tended to be older, with fewer males, higher ASA class, more metastatic brain tumors, more medical comorbidities, and less use of intraoperative microscope or ultrasound. Patients with the longest operative durations tended to be younger, with more males, fewer non-white minorities, more obesity, lower ASA classes, more intrinsic brain tumors, fewer medical comorbidities, fewer emergency operations, and increased use of intraoperative microscope. For patients with the shortest operations, after matching, we observed significantly decreased odds of prolonged length-of-stay (LOS), major complication, any complication, reoperation, and discharge to a facility; however, there was a significantly increased risk of 30-day mortality. For patients with the longest operations, after matching, we observed significantly increased odds of prolonged LOS; minor, major, and any complication; discharge to facility; and 30-day reoperation. After matching to balance baseline characteristics, operative duration has implications for outcomes following craniotomy for supratentorial brain tumor.

Palliative Referrals in Advanced Cancer Patients: Utilizing the Supportive and Palliative Care Indicators Tool and Rothman Index

BACKGROUND

Timely identification of palliative care needs can reduce hospitalizations and improve quality of life. The Supportive & Palliative Care Indicators Tool (SPICT) identifies patients with advanced medical conditions who may need special care planning. The Rothman Index (RI) detects patients at high risk of acutely decompensating in the inpatient setting. SPICT and RI among cancer patients were utilized in this study to evaluate their potential roles in palliative care referrals.

METHODS

Advanced cancer patients admitted to an institution in Baltimore, Maryland in 2019 were retrospectively reviewed. Patient demographics, length of hospital stay (LOS), palliative care referrals, RI scores, and SPICT scores were obtained. Patients were divided into SPICT positive or negative and RI > 60 or RI < 60.Unpaired t-tests and chi-square tests were utilized to determine the associations between SPICT and RI and early palliative care needs and mortality.

RESULTS

227 patients were included, with a mean age of 68 years, 63% Black, 59% female, with the majority having lung and GI malignancies. Sixty percent were SPICT +, 21% had RI < 60. SPICT + patients were more likely to have RI < 60 (p = 0.001). SPICT + and RI < 60 patients were more likely to have longer LOS, change in code status, more palliative/hospice referrals, and increased mortality (p <0.05).

CONCLUSIONS

SPICT and RI are valuable tools in predicting mortality and palliative/hospice care referrals. These can also be utilized to initiate early palliative and goals of care discussions in patients with advanced cancer.

Multicenter study of risk factors of unplanned 30-day readmissions in pediatric oncology

Background

Pediatric oncology patients have high rates of hospital readmission but there is a dearth of research into risk factors for unplanned 30‐day readmissions among this high‐risk population.

Aim

In this study, we built a statistical model to provide insight into risk factors of unplanned readmissions in this pediatric oncology.

Methods

We retrieved 32 667 encounters from 10 418 pediatric patients with a neoplastic condition from 16 hospitals in the Cerner Health Facts Database and built a mixed‐effects model with patients nested within hospitals for inference on 75% of the data and reserved the remaining as an independent test dataset.

Results

The mixed‐effects model indicated that patients with acute lymphoid leukemia (in relapse), neuroblastoma, rhabdomyosarcoma, or bone/cartilage cancer have increased odds of readmission. The number of cancer medications taken by the patient and the administration of chemotherapy were associated with increased odds of readmission for all cancer types. Wilms Tumor had a significant interaction with administration of chemotherapy, indicating that the risk due to chemotherapy is exacerbated in patients with Wilms Tumor. A second two‐way interaction between recent history of chemotherapy treatment and infections was associated with increased odds of readmission. The area under the receiver operator characteristic curve (and corresponding 95% confidence interval) of the mixed‐effects model was 0.714 (0.702, 0.725) on the independent test dataset.

Conclusion

Readmission risk in oncology is modified by the specific type of cancer, current and past administration of chemotherapy, and increased health care utilization. Oncology‐specific models can provide decision support where model built on other or mixed population has failed.

Evaluation of early unplanned readmissions and predisposing factors in an oncology clinic

BACKGROUND

Unplanned readmission in the first 30 days after discharge is an important medical problem, although the data on cancer patients is limited. So we planned to evaluate the rates and causes of early readmissions and the predisposing factors.

METHODS

Patients hospitalized in Hacettepe University Oncology services between August 2018 and July 2019 were included. The demographic features, tumor stages, regular drugs, last laboratory parameters before discharge, and readmissions in the first 30 days after discharge were recorded. The predisposing features were evaluated with univariate and multivariate analyses.

RESULTS

A total of 562 hospitalizations were included. The mean age of the patients was 58.5 ± 14.5 years. Almost 2/3 of the hospitalizations were due to symptom palliation and infections. Eighty-three percent of the patients had advanced disease, and over 60% had an ECOG score of 2 and above. In the first 30 days after discharge, 127 patients were readmitted (22.6%). Advanced stage disease, presence of polypharmacy (5 or more regular drugs), hospitalization setting (emergency department (ED) vs. outpatient clinic), and hypoalbuminemia (< 3 gr/dL) were associated with a statistically significant increase in the risk of readmission. Among these factors, advanced-stage disease (HR: 2.847, 95% CI: 1.375-5.895), hospitalization from ED (HR: 1.832, 95% CI: 1.208-2.777), and polypharmacy (HR: 1.782, 95% CI: 1.173-2.706) remained significant in multivariate analyses.

CONCLUSIONS

In this study, 22% of cancer patients had early readmissions. The readmission risk increased in patients with advanced disease, hospitalization from ED, and polypharmacy. The optimal post-discharge plan may reduce readmissions in all oncology patients, with priority for these patient groups.

Prediction of 7-Day Readmission Risk for Pediatric Trauma Patients

BACKGROUND

Pediatric patients admitted for trauma may have unique risk factors of unplanned readmission and require condition-specific models to maximize accuracy of prediction. We used a multicenter data set on trauma admissions to study risk factors and predict unplanned 7-day readmissions with comparison to the 30-day metric.

METHODS

Data from 28 hospitals in the United States consisting of 82,532 patients (95,158 encounters) were retrieved, and 75% of the data were used for building a random intercept, mixed-effects regression model, whereas the remaining were used for evaluating model performance. The variables included were demographics, payer, current and past health care utilization, trauma-related and other diagnoses, medications, and surgical procedures.

RESULTS

Certain conditions such as poisoning and medical/surgical complications during treatment of traumatic injuries are associated with increased odds of unplanned readmission. Conversely, trauma-related conditions, such as trauma to the thorax, knee, lower leg, hip/thigh, elbow/forearm, and shoulder/upper arm, are associated with reduced odds of readmission. Additional predictors include the current and past health care utilization and the number of medications. The corresponding 7-day model achieved an area under the receiver operator characteristic curve of 0.737 (0.716, 0.757) on an independent test set and shared similar risk factors with the 30-day version.

CONCLUSIONS

Patients with trauma-related conditions have risk of readmission modified by the type of trauma. As a result, additional quality of care measures may be required for patients with trauma-related conditions that elevate their risk of readmission.

Incidence and Characteristics Associated with Hospital Readmission after Discharge to Home Hospice

Background: Home hospice is designed to provide comfort to patients at the end of their life and hospital readmission is incongruent with this goal. Objective: The purpose of this study was to investigate the incidence of and characteristics associated with hospital readmissions from home hospice over a two-year period. Design/Subjects: This was a retrospective cohort study of 705 inpatients discharged from a quaternary academic medical center to home hospice from January 1, 2016 to December 31, 2017. Measures: The primary outcome was incidence of hospital readmission after discharge to home hospice. Multivariate regression with stepwise forward selection was used to identify characteristics associated with readmission. Results: The incidence of readmission was found to be 10.50% (n = 74), and the median days from discharge to readmission were 32.50 days (interquartile range = 14.00, 75.00). Reasons for readmission were: unanticipated new medical issue (n = 33, 44.59%), uncontrolled symptoms (n = 25, 33.78%), misunderstanding of hospice status (n = 12, 16.22%), and caregiver distress (n = 4, 5.41%). The following characteristics were associated with readmission: female versus male (odds ratio [OR] = 1.96; 95% confidence interval [CI]: 1.16-3.32), non-white versus white (OR = 2.40; 95% CI: 1.36-4.24), and hospice diagnosis of cardiac disease versus all other diagnoses (OR = 4.40; 95% CI: 2.06-9.37). Conclusions: Compared with prior studies, our findings showed a lower incidence of readmission, 10.50%, from home hospice. In addition, those who are female, non-white, or have a hospice diagnosis of cardiac disease are more likely to be readmitted.