Hospitalization Rates and Predictors of Rehospitalization Among Individuals With Advanced Cancer in the Year After Diagnosis

ECOG-ACRIN EAZ171: Prospective Validation Trial of Germline Predictors of Taxane-Induced Peripheral Neuropathy in Black Women With Early-Stage Breast Cancer

PURPOSE

Black women experience higher rates of taxane-induced peripheral neuropathy (TIPN) compared with White women when receiving adjuvant once weekly paclitaxel for early-stage breast cancer, leading to more dose reductions and higher recurrence rates. EAZ171 aimed to prospectively validate germline predictors of TIPN and compare rates of TIPN and dose reductions in Black women receiving (neo)adjuvant once weekly paclitaxel and once every 3 weeks docetaxel for early-stage breast cancer.

METHODS

Women with early-stage breast cancer who self-identified as Black and had intended to receive (neo)adjuvant once weekly paclitaxel or once every 3 weeks docetaxel were eligible, with planned accrual to 120 patients in each arm. Genotyping was performed to determine germline neuropathy risk. Grade 2-4 TIPN by Common Terminology Criteria for Adverse Events (CTCAE) v5.0 was compared between high- versus low-risk genotypes and between once weekly paclitaxel versus once every 3 weeks docetaxel within 1 year. Patient-rated TIPN and patient-reported outcomes were compared using patient-reported outcome (PRO)-CTCAE and Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity.

RESULTS

Two hundred and forty of 249 enrolled patients had genotype data, and 91 of 117 (77.8%) receiving once weekly paclitaxel and 87 of 118 (73.7%) receiving once every 3 weeks docetaxel were classified as high-risk. Physician-reported grade 2-4 TIPN was not significantly different in high- versus low-risk genotype groups with once weekly paclitaxel (47% v 35%; P = .27) or with once every 3 weeks docetaxel (28% v 19%; P = .47). Grade 2-4 TIPN was significantly higher in the once weekly paclitaxel versus once every 3 weeks docetaxel arm by both physician-rated CTCAE (45% v 29%; P = .02) and PRO-CTCAE (40% v 24%; P = .03). Patients receiving once weekly paclitaxel required more dose reductions because of TIPN (28% v 9%; P < .001) or any cause (39% v 25%; P = .02).

CONCLUSION

Germline variation did not predict risk of TIPN in Black women receiving (neo)adjuvant once weekly paclitaxel or once every 3 weeks docetaxel. Once weekly paclitaxel was associated with significantly more grade 2-4 TIPN and required more dose reductions than once every 3 weeks docetaxel.

Palliative care needs and utilisation of specialist services for people diagnosed with motor neuron disease: a national population-based study

INTRODUCTION

There is a growing emphasis on the importance of the availability of specialist palliative care for people with motor neuron disease (MND). However, the palliative care needs of this population and the utilisation of different specialist services remain poorly defined.

OBJECTIVES

To (1) describe clinical characteristics, symptom burden and functional levels of patients dying with MND on their admission to palliative care services; (2) determine factors associated with receiving inpatient or community palliative care services.

DESIGN

An observational study based on point-of-care assessment data from the Australian Palliative Care Outcomes Collaboration.

PARTICIPANTS

A total of 1308 patients who received palliative care principally because of MND between 1 January 2013 and 31 December 2020.

MEASURES

Five validated clinical instruments were used to assess each individual's function, distress from symptoms, symptom severity and urgency and acuity of their condition.

RESULTS

Most patients with MND had no or mild symptom distress, but experienced a high degree of functional impairment. Patients who required 'two assistants for full care' relative to those who were 'independent' (OR=11.53, 95% CI: 4.87 to 27.26) and those in 'unstable' relative to 'stable' palliative care phases (OR=16.74, 95% CI: 7.73 to 36.24) were more likely to use inpatient versus community-based palliative care. Associations between the use of different palliative care services and levels of symptom distress were not observed in this study.

CONCLUSIONS

Patients with MND were more likely to need assistance for decreased function and activities of daily living, rather than symptom management. This population could have potentially been cared for in the palliative phase in a community setting if greater access to supportive services were available in this context.

Spatiotemporal Patterns of Hospitalizations Among Older Adults With Co-Presence of Cancer and Dementia in US Counties: 2013-2018

We assessed the spatiotemporal patterns of hospitalization with comorbid cancer and dementia. Using the 2013-2018 inpatient claims data for Medicare fee-for-service (FFS) beneficiaries, we calculated hospitalization rates by dividing the total admissions from individuals with the co-presence of a major cancer (breast, prostate, lung, and colorectal) and dementia diagnoses with the total counts of FFS beneficiaries aged 65 or older. We identified 22 hotspots with high hospitalization rates that showed heterogeneous spatial and temporal utilization patterns. The odds of a county being a hotspot increased significantly with the county-level percentage of dual Medicare-Medicaid beneficiaries (aOR 1.05; 95% CI: 1.04-1.07) and the prevalence of cancer (aOR 1.73; 95% CI: 1.59-1.89), while decreased significantly with increasing degree of rurality (aOR .82; 95% CI: .79-.85) and decreased yearly over time (aOR .72; 95% CI: .68-.75). The identified hotspots and factors at the county-level may help understand healthcare utilization patterns and assess resource allocation for this unique patient group.

Predictive factors of basic palliative and hospice care among patients with cancer visiting the emergency department in a Hungarian tertiary care center

Introduction

Patients with advanced cancer tend to utilize the services of the health care system, particularly emergency departments (EDs), more often, however EDs aren't necessarily the most ideal environments for providing care to these patients. The objective of our study was to analyze the clinical and demographic characteristics of advanced patients with cancer receiving basic palliative care (BPC) or hospice care (HC), and to identify predictive factors of BPC and HC prior to their visit to the ED, in a large tertiary care center in Hungary.

Methods

A retrospective, detailed analysis of patients receiving only BPC or HC, out of 1512 patients with cancer visiting the ED in 2018, was carried out. Sociodemographic and clinical data were collected via automated and manual chart review. Patients were followed up to determine length of survival. Descriptive and exploratory statistical analyses were performed.

Results

Hospital admission, multiple (≥4x) ED visits, and respiratory cancer were independent risk factors for receiving only BPC (OR: 3.10, CI: 1.90-5.04; OR: 2.97, CI: 1.50-5.84; OR: 1.82, CI: 1.03-3.22, respectively), or HC (OR: 2.15, CI: 1.26-3.67; OR: 4.94, CI: 2.51-9.71; OR: 2.07, CI: 1.10-3.91). Visiting the ED only once was found to be a negative predictive factor for BPC (OR: 0.28, CI: 0.18-0.45) and HC (OR: 0.18, 0.10-0.31) among patients with cancer visiting the ED.

Conclusions

Our study is the first from this European region to provide information regarding the characteristics of patients with cancer receiving BPC and HC who visited the ED, as well as to identify possible predictive factors of receiving BPC and HC. Our study may have relevant implications for health care planning strategies in practice.

Socioeconomic Deprivation and Health Care Use in Patients Enrolled in SWOG Cancer Clinical Trials

Importance

Reducing acute care use is an important strategy for improving value. Patients with cancer are at risk for unplanned emergency department (ED) visits and hospital stays (HS). Clinical trial patients have homogeneous treatment; despite this, structural barriers to care may independently impact acute care use.

Objective

To examine whether ED visits and HS within 12 months of trial enrollment are more common among Medicare enrollees who live in areas of socioeconomic deprivation or have Medicaid insurance.

Design, Setting, and Participants

This cohort study included patients with cancer who were 65 years or older and treated in SWOG Cancer Research Network trials from 1999 to 2018 using data linked to Medicare claims. Data were collected from 1999 to 2019 and analyzed from 2022 to 2024.

Main Outcomes and Measures

Outcomes were ED visits, HS, and costs in the first year following enrollment. Neighborhood socioeconomic deprivation was measured using patients' zip code linked to the Area Deprivation Index (ADI), measured on a 0 to 100 scale for increasing deprivation and categorized into tertiles (T1 to T3). Type of insurance was classified as Medicare with or without commercial insurance vs dual Medicare and Medicaid. Demographic, clinical, and prognostic factors were captured from trial records. Multivariable regression was used, and the association of ADI and insurance with each outcome was considered separately.

Results

In total, 3027 trial participants were analyzed. The median (range) age was 71 (65-98) years, 1280 (32.3%) were female, 221 (7.3%) were Black patients, 2717 (89.8%) were White patients, 90 (3.0%) had Medicare and Medicaid insurance, and 660 (22.3%) were in the areas of highest deprivation (ADI-T3). In all, 1094 patients (36.1%) had an ED visit and 983 patients (32.4%) had an HS. In multivariable generalized estimating equation, patients living in areas categorized as ADI-T3 were more likely to have an ED visit (OR, 1.34; 95% CI, 1.10-1.62; P = .004). A similar but nonsignificant pattern was observed for HS (OR, 1.36; 95% CI, 0.96-1.93; P = .08). Patients from areas with the highest deprivation had a 62% increase in risk of either an ED visit or HS (OR, 1.62; 95% CI, 1.25-2.09; P < .001). Patients with Medicare and Medicaid were 96% more likely to have an ED visit (OR, 1.96; 95% CI, 1.56-2.46; P < .001).

Conclusions and Relevance

In this cohort of older patients enrolled in clinical trials, neighborhood deprivation and economic disadvantage were associated with an increase in ED visits and HS. Efforts are needed to ensure adequate resources to prevent unplanned use of acute care in socioeconomically vulnerable populations.

Hospital use and cancer treatment by age and socioeconomic status in the last year of life: A Norwegian population-based study of patients dying of cancer

INTRODUCTION

Cancer is the leading cause of death in Norway. In this nationwide study we describe the number and causes of hospital admissions and treatment in the final year of life for patients who died of cancer, as well as the associations to age and socioeconomic status (SES).

MATERIALS AND METHODS

From nationwide registries covering 2010-2014, we identified all patients who were diagnosed with cancer 12-60 months before death and had cancer as their reported cause of death. We examined the number of overnight hospital stays, causes of admission, and treatment (chemotherapy, radiotherapy, surgical procedures) offered during the last year of life by individual (age, sex, comorbidity), cancer (type, stage, months since diagnosis), and socioeconomic variables (co-residential status, income, education).

RESULTS

The analytical sample included 17,669 patients; 8,247 (47%) were female, mean age was 71.7 years (standard deviation 13.7). At diagnosis, 31% had metastatic disease, while 29% had an intermediate or high comorbidity burden. Altogether, 94% were hospitalized during their final year, 82% at least twice, and 33% six times or more. Patients spent a median of 23 days in hospital (interquartile range 11-41), and altogether 38% died there. Younger age, bladder and ovarian cancer, not living alone, and higher income were associated with having ≥6 hospitalizations. Cancer-related diagnoses were the main causes of hospitalizations (65%), followed by infections (11%). Around 51% had ≥1 chemotherapy episode, with large variations according to patient age and SES; patients who were younger, did not live alone, had high education, and high income received more chemotherapy. Radiotherapy was received by 15% and declined with age, and the variation according to SES characteristics was minor. Of the 12,940 patients with a cancer type where surgery is a main treatment modality, only 835 (6%) underwent surgical procedures for their primary tumor in the last year of life.

DISCUSSION

Most patients who die of cancer are hospitalized multiple times during the last year of life. Hospitalizations and treatment decline with advancing age. Living alone and having low income is associated with fewer hospitalizations and less chemotherapy treatment. Whether this indicates over- or undertreatment across various groups warrants further exploration.

Thirty-day mortality in hospitalised patients with lung cancer: incidence and predictors

OBJECTIVES

Patients with lung cancer experience high rates of hospitalisation, mainly due to the high risk of complications that emerge during the natural history of the disease. We designed a retrospective, single-centre, observational study aimed at defining the clinical predictors of 30-day mortality in hospitalised patients with lung cancer.

METHODS

Clinical records from the first admission of patients with lung cancer to the oncology ward of the University Hospital of Parma from 1 January 2017 to 1 January 2022 were collected.

RESULTS

251 consecutive patients were enrolled at the time of data cut-off. In the univariate analysis, baseline clinical predictors of 30-day mortality were Eastern Cooperative Oncology Group performance status (ECOG PS) (≥2 vs 0-1: 27.5% vs 14.8%, p=0.028), high Blaylock Risk Assessment Screening Score (BRASS) (high vs intermediate-low: 34.3% vs 11.9%, p<0.001), presence of pain (yes vs no: 24.4% vs 11.7%, p=0.009), number of metastatic sites (≥3 vs <3: 26.5% vs 13.4%, p=0.017) and presence of bone metastases (yes vs no: 29.0% vs 10.8%, p=0.001). In the multivariate analysis, high BRASS remained significantly associated with increased 30-day mortality (high vs intermediate-low; OR 2.87, 95% CI 1.21 to 6.78, p=0.016).

CONCLUSION

Our results suggest that baseline poor ECOG PS, high BRASS, presence of pain, high tumour burden and presence of bone metastases could be used as clinical predictors of 30-day mortality in hospitalised patients with lung cancer. In particular, the BRASS scale should be used as a simple tool to predict 30-day mortality in hospitalised patients with lung cancer.

Patterns and outcome of unplanned care in lung cancer patients: an observational study in a medical oncology department

Background

There is increasing interest in unplanned care utilization among lung cancer patients and its evaluation should allow the identification of areas for quality improvement. Being a major priority for transformation in oncology, we aim to measure the risk and burden of unplanned care in a medical oncology department and identify factors that determine acute care.

Methods

This was an observational retrospective cohort study that included all lung cancer patients treated at Puerta de Hierro-Majadahonda University Hospital between January 1st 2016 and December 31st 2020. Data cut off: June 30th, 2021. The main objective was to assess the incidence of unplanned care, emergency department (ED) visits and unplanned hospital admissions, from the first visit to the medical oncology service and its potential conditioning variables, considering patient death as a competitive event. As secondary objectives, a description and a quality of unplanned care evaluation was carried out.

Results

A total of 821 lung cancer patients, all histologies and stages, were included (median follow-up: 32.8 months). Six hundred and eighty-one patients required consultation in the ED (82.9%), and 558 required an unplanned admission (68%). Eighty-six percent of ED consultations and 80.9% of unplanned hospital admissions were related to cancer or its treatment. The 1-year cumulative incidence for ED consultation and for unplanned hospital admission was 71.3% (95% CI: 67.8-74.5%) and 56.7% (95% CI: 53-60%), respectively. In the multivariable analysis, a higher tumor stage increased the risk of consultation in the ED, while a higher stage, Eastern Cooperative Oncology Group performance status (ECOG PS) 2 compared to ECOG PS 0, male sex, opioid or steroid use at first consultation increased the risk of unplanned admission.

Conclusions

Our study shows that lung cancer patients have an extremely high demand for unplanned care. It is an early need and related to cancer in the majority of consultations and admissions and therefore a key issue for the management of oncology departments. We must optimize the follow-up of patients with a higher risk of unplanned care, advanced lung cancer or symptomatic patients, incorporating remote monitoring strategies and early interventions, as developing specific urgent care pathways for a better comprehensive cancer care.

Palliative care needs and specialist services post stroke: national population-based study

OBJECTIVES

(1) To compare palliative care needs of patients admitted primarily with stroke and (2) to determine how the care needs of these patients affect their use of different types of specialist palliative care services.

METHODS

Observational study based on point-of-care data from the Australian Palliative Care Outcomes Collaboration. Multivariate logistic regression models were used to explore the association between patients' palliative care needs and use of community versus inpatient specialist palliative care services.

RESULTS

The majority of patients who had a stroke in this study population had mild or no symptom distress, but experienced a high degree of functional impairment and needed substantial help with basic tasks of daily living. A lower Australia-modified Karnofsky Performance Status score (OR=1.82, 95% CI 1.06 to 3.13) and occurrence of an 'unstable' palliative care phase (OR=28.34, 95% CI 9.03 to 88.94) were associated with use of inpatient versus community palliative care, but otherwise, no clear association was observed between the majority of symptoms and use of different care services.

CONCLUSIONS

Many people with stroke could potentially have been cared for and could have experienced the terminal phases of their condition in a community setting if more community support services were available for their families.

Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach

PURPOSE

Develop a cancer-specific machine learning (ML) model that accurately predicts 30-day unplanned readmissions in patients with solid tumors.

METHODS

The initial cohort included patients 18 years or older diagnosed with a solid tumor. Two distinct cohorts were generated: one with and one without detailed social determinants of health (SDOHs) data. For each cohort, data were temporally partitioned in 70% (training), 20% (validation), and 10% (testing). Tree-based ML models were developed and validated on each cohort. The metrics used to evaluate the model's performance were receiver operating characteristic curve (ROC), area under the ROC curve, precision, recall (R), accuracy, and area under the precision-recall curve.

RESULTS

We included 13,717 patients in this study in two cohorts (5,059 without SDOH data and 8,658 with SDOH data). Unplanned 30-day readmission occurred in 21.3% of the cases overall. The five main non-SDOH factors most highly associated with an unplanned 30-day readmission (R, 0.74; IQR, 0.58-0.76) were: number of previous unplanned readmissions; higher Charlson comorbidity score; nonelective index admission; discharge to anywhere other than home, hospice, or nursing facility; and higher anion gap during the admission. Neighborhood crime index, neighborhood median home values, annual income, neighborhood median household income, and wealth index were the main five SDOH factors important for predicting a high risk for an unplanned hospital readmission (R, 0.66; IQR, 0.56-0.72). The models were not directly comparable.

CONCLUSION

Key drivers of unplanned readmissions in patients with cancer are complex and involve both clinical factors and SDOH. We developed a cancer-specific ML model that with reasonable accuracy identified patients with cancer at high risk for an unplanned hospital readmission.

A cognitive-behavioral model of dyspnea: Qualitative interviews with individuals with advanced lung cancer

OBJECTIVES

Shortness of breath, or dyspnea, is the subjective experience of breathing discomfort and is a common, distressing, and debilitating symptom of lung cancer. There are no efficacious pharmacological treatments, but there is suggestive evidence that cognitive-behavioral treatments could relieve dyspnea. For this, understanding the psychological, behavioral, and social factors that may affect dyspnea severity is critical. To this end, patients with dyspnea were interviewed with questions framed by the cognitive-behavioral model-emphasizing thoughts, emotions, and behaviors as contributors and outcomes of dyspnea.

METHODS

Two trained individuals conducted semi-structured interviews with lung cancer patients (N = 15) reporting current dyspnea. Interviews assessed patients' cognitive-behavioral experiences with dyspnea. Study personnel used a grounded theory approach for qualitative analysis to code the interviews. Inter-rater reliability of codes was high (κ = 0.90).

RESULTS

Thoughts: Most common were patients' catastrophic thoughts about their health and receiving enough oxygen when breathless. Emotions: Anxiety about dyspnea was the most common, followed by anger, sadness, and shame related to dyspnea. Behaviors: Patients rested and took deep breaths to relieve acute episodes of dyspnea. To reduce the likelihood of dyspnea, patients planned their daily activity or reduced their physical activity at the expense of engagement in hobbies and functional activities.

SIGNIFICANCE OF RESULTS

Patients identified cognitive-behavioral factors (thoughts, emotions, and behaviors) that coalesce with dyspnea. The data provide meaningful insights into potential cognitive-behavioral interventions that could target contributors to dyspnea.

Risk Factors for Return to the Emergency Department and Readmission in Patients With Hospital-Diagnosed Advanced Lung Cancer

BACKGROUND

Advanced lung cancer (ALC) is a symptomatic disease often diagnosed in the context of hospitalization. The index hospitalization may be a window of opportunity to improve care delivery.

OBJECTIVES

We examined the patterns of care and risk factors for subsequent acute care utilization among patients with hospital-diagnosed ALC.

RESEARCH DESIGN, SUBJECTS, AND MEASURES

In Surveillance, Epidemiology, and End Results-Medicare, we identified patients with incident ALC (stage IIIB-IV small cell or non-small cell) from 2007 to 2013 and an index hospitalization within 7 days of diagnosis. We used a time-to-event model with multivariable regression to identify risk factors for 30-day acute care utilization (emergency department use or readmission).

RESULTS

More than half of incident ALC patients were hospitalized around the time of diagnosis. Among 25,627 patients with hospital-diagnosed ALC who survived to discharge, only 37% ever received systemic cancer treatment. Within 6 months, 53% had been readmitted, 50% had enrolled in hospice, and 70% had died. The 30-day acute care utilization was 38%.Small cell histology, greater comorbidity, precancer acute care use, length of index stay >8 days, and prescription of a wheelchair were associated with higher risk of 30-day acute care utilization. Age >85 years, female sex, residence in South or West regions, palliative care consultation, and discharge to hospice or a facility were associated with lower risk.

CONCLUSIONS

Many patients with hospital-diagnosed ALC experience an early return to the hospital and most die within 6 months. These patients may benefit from increased access to palliative and other supportive care during index hospitalization to prevent subsequent health care utilization.

Comparison of Oncologist and Model Estimates of Risk for Hospitalization During Systemic Therapy for Advanced Cancer

PURPOSE

A validated risk model with inputs of pretreatment sodium and albumin can identify patients at risk for hospitalization during cancer treatment. We evaluated how the model compares with risk estimates from treating oncologists.

METHODS

We evaluated the 30-day risk of hospitalization or death in patients starting palliative-intent systemic therapy for solid tumor malignancy. For each patient, we prospectively recorded categorical estimates of 30-day hospitalization risk (bottom third, middle third, top third) generated by a treating oncologist and by the two-variable model; a third hybrid risk estimate represented a composite of the oncologist and model risk assessments. We analyzed the agreement of oncologist and model-based risk estimates and compared discrimination, sensitivity, and specificity of each risk assessment method.

RESULTS

We collected oncologist, model, and hybrid estimates of hospitalization risk for 120 patients. The 30-day rate of hospitalization or death was 20%. There was minimal agreement between oncologist and model risk estimates (weighted kappa = 0.27). The c-statistic (a measure of discrimination) was 0.69 (95% CI, 0.57 to 0.81) for the clinician assessment, 0.77 for the model assessment (CI, 0.67 to 0.86; P = .24 compared with the oncologist assessment), and 0.79 for the hybrid assessment (CI, 0.69 to 0.90; P = .007 compared with the oncologist assessment). Sensitivity and specificity of the high-risk categorization did not differ significantly between the oncologist and model assessments; the hybrid assessment was significantly more sensitive (P = .02) and less specific (P = .03) than the oncologist assessment.

CONCLUSION

A model with inputs of pretreatment sodium and albumin improves oncologists' predictions of hospitalization risk during cancer treatment.

Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors

PURPOSE

Predicting 30-day readmission risk is paramount to improving the quality of patient care. In this study, we compare sets of patient-, provider-, and community-level variables that are available at two different points of a patient's inpatient encounter (first 48 hours and the full encounter) to train readmission prediction models and identify possible targets for appropriate interventions that can potentially reduce avoidable readmissions.

METHODS

Using electronic health record data from a retrospective cohort of 2,460 oncology patients and a comprehensive machine learning analysis pipeline, we trained and tested models predicting 30-day readmission on the basis of data available within the first 48 hours of admission and from the entire hospital encounter.

RESULTS

Leveraging all features, the light gradient boosting model produced higher, but comparable performance (area under receiver operating characteristic curve [AUROC]: 0.711) with the Epic model (AUROC: 0.697). Given features in the first 48 hours, the random forest model produces higher AUROC (0.684) than the Epic model (AUROC: 0.676). Both models flagged patients with a similar distribution of race and sex; however, our light gradient boosting and random forest models were more inclusive, flagging more patients among younger age groups. The Epic models were more sensitive to identifying patients with an average lower zip income. Our 48-hour models were powered by novel features at various levels: patient (weight change over 365 days, depression symptoms, laboratory values, and cancer type), hospital (winter discharge and hospital admission type), and community (zip income and marital status of partner).

CONCLUSION

We developed and validated models comparable with the existing Epic 30-day readmission models with several novel actionable insights that could create service interventions deployed by the case management or discharge planning teams that may decrease readmission rates over time.

The Prevalence and Treatment Costs of Non-Melanoma Skin Cancer in Cluj-Napoca Maxillofacial Center

Background and Objectives: An increasing incidence of non-melanoma skin cancer (NMSC) is noted, as well as an increasing cost of the treatment, with NMSC becoming a public health problem. We aimed to investigate the prevalence and treatment costs of surgically treated NMSC from the Oral and Maxillofacial Surgery Department of Cluj-Napoca County Hospital. Materials and Methods: We retrospectively analyzed the clinical data and the charge data of hospitalization from the informatic system of Cluj-Napoca County Hospital. All patients benefited from standard surgical excision with the reconstruction of the post-excisional defect. A statistical analysis of the costs related to the patients' features, period and conditions of hospitalization, materials, medication, and paraclinical investigations was performed. Results: Between 2015 and 2019, 133 patients with NMSC were addressed to our department, with basal cell carcinoma (BCC) being four-fold higher than squamous cell carcinoma (SCC). Most NMSC cases were diagnosed in stage I or II, and they benefited from local reconstruction. The treatment costs progressively increased in the last five years, reaching a total cost of EUR ~13.000 in 2019. The treatment cost per episode was higher for SCC compared to BCC, while the total cost of treatment in 5 years was higher for BCC. Low income, immunosuppression, comorbidities, flap reconstruction option, long-lasting surgery, and prolonged hospitalization were associated with an increased cost of the treatment. Conclusion: The prevalence and treatment cost of surgically treated NMSC of the head and neck region increased in the last five years, with high-cost drivers being related to patients and treatment options.

Racial Disparities in Diabetes-Related Emergency Department Visits and Hospitalizations Among Cancer Survivors

PURPOSE

Black and Hispanic individuals with diabetes receive less recommended diabetes care after cancer diagnosis than non-Hispanic Whites (NHW). We sought to determine whether racial/ethnic minorities with diabetes and cancer were at increased risk of diabetes-related emergency department (ED) visits and hospitalizations compared with NHW.

METHODS

Using SEER cancer registry data linked to Medicare claims from 2006 to 2014, we included Medicare beneficiaries age 66+ years diagnosed with incident nonmetastatic breast, prostate, or colorectal cancer between 2007 and 2012 who had diabetes. Our primary outcome was any diabetes-related ED visit or hospitalization 366-731 days after cancer diagnosis. Using Fine-Gray subdistribution hazard models, we examined whether risk of ED visits or hospitalizations was higher for racial/ethnic minorities compared with NHW.

RESULTS

We included 40,059 beneficiaries with mean age 75.5 years (standard deviation 6.3), 45.6% were women, and 28.9% were non-White. Overall, 825 (2.1%) had an ED visit and 3,324 (8.3%) had a hospitalization related to diabetes in the 366-731 days after cancer diagnosis. Compared with NHW, Black individuals were more likely to have ED visits (2.9% v 2.0%; P < .0001) and hospitalizations (11.7% v 7.8%; P < .0001). Adjusting for potential confounders, Black (adjusted hazard ratio, 1.22; 95% CI, 1.12 to 1.35) individuals had a higher risk of any ED visit or hospitalization compared with NHW.

CONCLUSION

Black individuals with diabetes and cancer were at increased risk for diabetes-related ED visits and hospitalizations in the second year after cancer diagnosis compared with NHW even after accounting for confounders.

Measuring Health Equity in Emergency Care Using Routinely Collected Data: A Systematic Review

Introduction: Achieving equity in health care remains a challenge for health care systems worldwide and marked inequities in access and quality of care persist. Identifying health care equity indicators is an important first step in integrating the concept of equity into assessments of health care system performance, particularly in emergency care.

Methods: We conducted a systematic review of administrative data-derived health care equity indicators and their association with socioeconomic determinants of health (SEDH) in emergency care settings. Following PRISMA-Equity reporting guidelines, Ovid MEDLINE, EMBASE, PubMed, and Web of Science were searched for relevant studies. The outcomes of interest were indicators of health care equity and the associated SEDH they examine.

Results: Among 29 studies identified, 14 equity indicators were identified and grouped into four categories that reflect the patient emergency care pathway. Total emergency department (ED) visits and ambulatory care-sensitive condition-related ED visits were the two most frequently used equity indicators. The studies analyzed equity based on seven SEDH: social deprivation, income, education level, social class, insurance coverage, health literacy, and financial and nonfinancial barriers. Despite some conflicting results, all identified SEDH are associated with inequalities in access to and use of emergency care.

Conclusion: The use of administrative data-derived indicators in combination with identified SEDH could improve the measurement of health care equity in emergency care settings across health care systems worldwide. Using a combination of indicators is likely to lead to a more comprehensive, well-rounded measurement of health care equity than using any one indicator in isolation. Although studies analyzed focused on emergency care settings, it seems possible to extrapolate these indicators to measure equity in other areas of the health care system. Further studies elucidating root causes of health inequities in and outside the health care system are needed.

Impact of social determinants of health on cancer care: a survey of community oncologists

OBJECTIVE

Cancer survival rates have improved over the past few decades, yet socioeconomic disparities persist. Social determinants of health (SDOH) have consistently been shown to correlate with health outcomes. The objective of this study was to characterise oncologists' perceptions of the impact of SDOH on their patients, and their opinions on how these effects could be remediated.

DESIGN

Cross-sectional survey of physicians.

SETTING

Web-based survey completed prior to live meetings held between February and April 2020.

PARTICIPANTS

Oncologists/haematologists from across the USA.

EXPOSURE

Clinical practice in a community-based or hospital-based setting.

MAIN OUTCOME AND MEASURE

Physician responses regarding how SDOH affected their patients, which factors represented the most significant barriers to optimal health outcomes and how the impact of SDOH could be mitigated through assistance programmes.

RESULTS

Of the 165 physicians who completed the survey, 93% agreed that SDOH had a significant impact on their patients' health outcomes. Financial security/lack of insurance and access to transportation were identified most often as the greatest barriers for their patients (83% and 58%, respectively). Eighty-one per cent of physicians indicated that they and their staff had limited time to spend assisting patients with social needs, and 76% reported that assistance programmes were not readily accessible. Government organisations, hospitals, non-profit organisations and commercial payers were selected by 50% or more of oncologists surveyed as who should be responsible for delivering assistance programmes to patients with social needs; 42% indicated that pharmaceutical manufacturers should also be responsible.

CONCLUSION

Our survey found that most oncologists were aware of the impact of SDOH on their patients but were constrained in their time to assist patients with social needs. The physicians in our study identified a need for more accessible assistance programmes and greater involvement from all stakeholders in addressing SDOH to improve health outcomes.

Health care utilization among patients with oesophageal and gastric cancer: the impact of initial treatment strategy and assignment of a contact nurse

Background

Patients diagnosed with oesophageal and gastric cancer face a poor prognosis and numerous challenges of symptom management, lifestyle adjustments and complex treatment regimens. The multifaceted care needs and rapid disease progression reinforce the need for proactive and coherent health care. According to the national cancer strategy, providing coherent health care and palliative support is an area of priority. More knowledge is needed about health care utilization and the characteristics of the health care service in order to understand the readiness, accessibility and quality of current health care. The aim of this study was to describe individuals’ health care use from the time of treatment decision until death, and investigate the impact of the initial treatment strategy and assignment of a contact nurse (CN) on health care use among patients with oesophageal and gastric cancer.

Methods

This population-based cohort study included patients who died from oesophageal and gastric cancer in Sweden during 2014–2016. Through linking data from the National Register for Oesophageal and Gastric Cancer, the National Cause of Death Register, and the National Patient Register, 2614 individuals were identified. Associations between the initial treatment strategy and CN assignment, and health care use were investigated. Adjusted incidence rate ratios (IRRs) with 95% confidence intervals (CIs) were calculated using Poisson regression.

Results

Patients receiving palliative treatment and those receiving no tumour-directed treatment had a higher IRR for unplanned hospital stays and unplanned outpatient care visits compared with patients who received curative treatment. Patients receiving no tumour-directed treatment also had a lower IRR for planned hospital stays and planned outpatient care visits compared with patients given curative treatment. Compared with this latter group, patients with palliative treatment had a higher IRR for planned outpatient care visits. Patients assigned a CN had a higher IRR for unplanned hospital stays, unplanned outpatient care visits and planned outpatient care visits, compared with patients not assigned a CN.

Conclusions

A palliative treatment strategy and no tumour-directed treatment were associated with higher rates of unplanned health care compared with a curative treatment strategy, suggesting that a proactive approach is imperative to ensure quality palliative care.

Quality of End-of-Life Care for People with Advanced Non-Small Cell Lung Cancer in Ontario: A Population-Based Study

Ensuring high quality end of life (EOL) care is necessary for people with advanced non-small-cell lung cancer (NSCLC), given its high incidence, mortality and symptom burden. Aggressive EOL care can adversely affect the quality of life of NSCLC patients without providing meaningful oncologic benefit. Objectives: (1) To describe EOL health services quality indicators and timing of palliative care consultation provided to patients dying of NSCLC. (2) To examine associations between aggressive and supportive care and patient, disease and treatment characteristics. Methods: This retrospective population-based cohort study describes those who died of NSCLC in Ontario, Canada from 2009–2017. Socio-demographic, patient, disease and treatment characteristics as well as EOL health service quality and use of palliative care consultation were investigated. Multivariable logistic regression models examined factors associated with receiving aggressive or supportive care. Results: Aggressive care quality indicators were present in 50.3% and supportive care indicators in 60.3% of the cohort (N = 37,203). Aggressive care indicators decreased between 2009 and 2017 (57.4% to 45.3%) and increased for supportive care (54.2% to 67.5%). Benchmarks were not met by 2017 in 3 of 4 cases. Male sex and greater comorbidity were associated with more aggressive EOL care and less supportive care. Older age was negatively associated and rurality positively associated with aggressive care. No palliative care consultation occurred in 56.0%. Conclusions: While improvements in the use of supportive rather than aggressive care were noted, established Canadian benchmarks were not met. Moreover, there is variation in EOL quality between groups and use of earlier palliative care must improve.

Impact of CYP2D6 Pharmacogenomic Status on Pain Control Among Opioid-Treated Oncology Patients

BACKGROUND

Several opioids have pharmacogenomic associations impacting analgesic efficacy. However, germline pharmacogenomic testing is not routinely incorporated into supportive oncology. We hypothesized that CYP2D6 profiling would correlate with opioid prescribing and hospitalizations.

MATERIALS AND METHODS

We analyzed 61,572 adult oncology patients from 2012 to 2018 for opioid exposures. CYP2D6 metabolizer phenotype (ultra-rapid [UM], normal metabolizer [NM], intermediate [IM], or poor [PM]), the latter two of which may cause inefficacy of codeine, tramadol, and standard-dose hydrocodone, was determined for patients genotyped for reasons unrelated to pain. The primary endpoint was number of opioid medications received during longitudinal care (IM/PMs vs. NMs). Secondary endpoint was likelihood of pain-related hospital encounters.

RESULTS

Most patients with cancer (n = 34,675, 56%) received multiple opioids (average 2.8 ± 1.6/patient). Hydrocodone was most commonly prescribed (62%), followed by tramadol, oxycodone, and codeine. In the CYP2D6 genotyped cohort (n = 105), IM/PMs received a similar number of opioids (3.4 ± 1.4) as NMs (3.3 ± 1.9). However, IM/PMs were significantly more likely to experience pain-related hospital encounters compared with NMs, independent of other variables (odds ratio [OR] = 5.4; 95% confidence interval [CI], 1.2-23.6; p = .03). IM/PMs were also more likely to be treated with later-line opioids that do not require CYP2D6 metabolism, such as morphine and hydromorphone (OR = 3.3; 95% CI, 1.1-9.8; p = .03).

CONCLUSION

CYP2D6 genotype may identify patients with cancer at increased risk for inadequate analgesia when treated with typical first-line opioids like codeine, tramadol, or standard-dose hydrocodone. Palliative care considerations are an integral part of optimal oncology care, and these findings justify prospective evaluation of preemptive genotyping as a strategy to improve oncology pain management.

IMPLICATIONS FOR PRACTICE

Genomic variation in metabolic enzymes can predispose individuals to inefficacy when receiving opioid pain medications. Patients with intermediate and/or poor CYP2D6 metabolizer status do not adequately convert codeine, tramadol, and hydrocodone into active compounds, with resulting increased risk of inadequate analgesia. This study showed that patients with cancer frequently receive CYP2D6-dependent opioids. However, patients with CYP2D6 intermediate and poor metabolizer status had increased numbers of pain-related hospitalizations and more frequently required the potent non-CYP2D6 opioids morphine and hydromorphone. This may reflect inadequate initial analgesia with the common "first-line" CYP2D6-metabolized opioids. Preemptive genotyping to guide opioid prescribing during cancer care may improve pain-related patient outcomes.

Palliative care consultation team: symptom relief in first 48 hours of hospitalization

OBJECTIVE

To compare the relief of symptoms provided by palliative care consultation team (PCCT) compared to the traditional care team (TC), in patients with advanced cancer in the first 48 hours of hospitalization.

METHOD

Allocated to PCCT Group and TC Group, this study assessed 290 patients according to the Edmonton Symptom Assessment System (ESAS) within the first 48 hours of hospitalization. The main outcome was a minimum 2-point reduction in symptom intensity.

RESULTS

At 48 hours, the PCCT Group had a 2-point reduction in the mean differences (p <0.001) in pain, nausea, dyspnea, and depression; and TC Group, on nausea and sleep impairment (p <0.001). Multiple Logistic Regression found for the PCCT Group a greater chance of pain relief (OR 2.34; CI 1.01-5.43; p = 0.049).

CONCLUSION

There was superiority of the PCCT Group for pain relief, dyspnea and depression. There is a need for more studies that broaden the understanding of team modalities.

Evaluation of Oncology Hospital at Home: Unplanned Health Care Utilization and Costs in the Huntsman at Home Real-World Trial

PURPOSE

Patients with cancer experience high rates of morbidity and unplanned health care utilization and may benefit from new models of care. We evaluated an adult oncology hospital at home program's rate of unplanned hospitalizations and health care costs and secondarily, emergency department (ED) use, length of hospital stays, and intensive care unit (ICU) admissions during the 30 days after enrollment.

METHODS

We conducted a prospective, nonrandomized, real-world cohort comparison of 367 hospitalized patients with cancer-169 patients consecutively admitted after hospital discharge to Huntsman at Home (HH), a hospital-at-home program, compared with 198 usual care patients concurrently identified at hospital discharge. All patients met clinical criteria for HH admission, but those in usual care lived outside the HH service area. Primary outcomes were the number of unplanned hospitalizations and costs during the 30 days after enrollment. Secondary outcomes included length of hospital stays, ICU admissions, and ED visits during the 30 days after enrollment.

RESULTS

Groups were comparable except that more women received HH care. In propensity-weighted analyses, the odds of unplanned hospitalizations was reduced in the HH group by 55% (odds ratio, 0.45, 95% CI, 0.29 to 0.70; P < .001) and health care costs were 47% lower (mean cost ratio, 0.53; 95% CI, 0.39 to 0.72; P < .001) over the 30-day period. Secondary outcomes also favored HH. Total hospital stay days were reduced by 1.1 days (P = .004) and ED visits were reduced by 45% (odds ratio, 0.55; 95% CI, 0.33 to 0.92; P = .022). There was no evidence of a difference in ICU admissions (P = .972).

CONCLUSION

This oncology hospital at home program shows initial promise as a model for oncology care that may lower unplanned health care utilization and health care costs.

Comorbidity in lung cancer patients and its association with hospital readmission and fatality in China

BACKGROUND

Comorbidity has been established as one of the important predictors of poor prognosis in lung cancer. In this study, we analyzed the prevalence of main comorbidities and its association with hospital readmission and fatality for lung cancer patients in China.

METHODS

The analyses are based on China Urban Employees' Basic Medical insurance (UEBMI) and Urban Residents' Basic Medical Insurance (URBMI) claims database and Hospital Information System (HIS) Database in the Beijing University Cancer Hospital in 2013-2016. We use Elixhauser Comorbidity Index to identify main types of comorbidities.

RESULTS

Among 10,175 lung cancer patients, 32.2% had at least one comorbid condition, and the proportion of patients with one, two, and three or more comorbidities was 21.7, 8.3 and 2.2%, respectively. The most prevalent comorbidities identified were other malignancy (7.5%), hypertension (5.4%), pulmonary disease (3.7%), diabetes mellitus (2.5%), cardiovascular disease (2.4%) and liver disease (2.3%). The predicted probability of having comorbidity and the predicted number of comorbidities was higher for middle elderly age groups, and then decreased among patients older than 85 years. Comorbidity was positively associated with increased risk of 31-days readmission and in-hospital death.

CONCLUSION

Our study is the first to provide an overview of comorbidity among lung cancer patients in China, underlines the necessity of incorporating comorbidity in the design of screening, treatment and management of lung cancer patients in China.

The use of in-hospital medical care for patients with metastasized colon, bronchus, or lung cancer

PURPOSE

At the end of life, patients and their families tend to favor adequate pain and symptom management and attention to comfort measures over prolongation of life. However, it has been suggested that many cancer patients without curative options still receive aggressive treatment. We therefore aimed to describe the number of diagnostic procedures, hospitalization, and medication use among these patients as well as factors associated with receiving such care.

METHODS

We conducted a cohort study on all patients with metastasized cancer from a primary colon or bronchus and lung (BL) neoplasm from the moment of first admittance (January-December 2017) to end of follow-up (November 2018) or death.

RESULTS

A total of 408 patients with colon (36%) or BL (64%) cancer were included in this study, with a median survival time of 7.4 months. 93% of the patients were subjected to at least one diagnostic procedure, 49% received chemotherapy, and 56% received expensive medication including immunotherapy. Patients had a median of 4.6 hospital admissions and 2.3 emergency room (ER) visits. A quarter of all patients (n = 105) received specialized palliative care with a mean of 1.96 consultations and the first consultation after a median time of 4.1 months. Patients with BL neoplasms received significantly more diagnostic procedures, chemotherapy episodes, ER/ICU admissions, and more often received an end-of-life statement per person-year than patients with a primary colon neoplasm. Females received significantly less diagnostic procedures and visited the ER/ICU less frequently than males, and patients aged > 70 years received significantly less chemotherapy (episodes) and expensive medication than younger patients. No differences in care were found between different socioeconomic status groups.

CONCLUSION

Patients with metastasized colon or BL cancer receive a large amount of in-hospital medical care. Specialized palliative care was initiated relatively late despite the incurable disease status of all patients. Factors associated with more procedures were BL neoplasms, age between 50 and 70, and male gender.

Development of an Oncology Acute Care Risk Prediction Model

PURPOSE

Acute care utilization (ACU), including emergency department (ED) visits or hospital admissions, is common in patients with cancer and may be preventable. The Center for Medicare & Medicaid Services recently implemented OP-35, a measure in the Hospital Outpatient Quality Reporting Program focused on ED visits and inpatient admissions for 10 potentially preventable conditions that arise within 30 days of chemotherapy. This new measure exemplifies a growing focus on preventing unnecessary ACU. However, identifying patients at high risk of ACU remains a challenge. We developed a real-time clinical prediction model using a discrete point allocation system to assess risk for ACU in patients with active cancer.

METHODS

We performed a retrospective cohort analysis of patients with active cancer from a large urban academic medical center. The primary outcome, ACU, was evaluated using a multivariate logistic regression model with backward variable selection. We used estimates from the multivariate logistic model to construct a risk index using a discrete point allocation system.

RESULTS

Eight thousand two hundred forty-six patients were included in the analysis. ED utilization in the last 90 days, history of chronic obstructive pulmonary disease, congestive heart failure or renal failure, and low hemoglobin and low neutrophil count significantly increased risk for ACU. The model produced an overall C-statistic of 0.726. Patients defined as high risk (achieving a score of 2 or higher on the risk index) represented 10% of total patients and 46% of ACU.

CONCLUSION

We developed an oncology acute care risk prediction model using a risk index-based scoring system, the REDUCE (Reducing ED Utilization in the Cancer Experience) score. Further efforts to evaluate the effectiveness of our model in predicting ACU are ongoing.

Home hospitalization for palliative cancer care: factors associated with unplanned hospital admissions and death in hospital

Background

Home hospitalization at the end of life can sometimes be perturbed by unplanned hospital admissions (UHAs, defined as any admission that is not part of a preplanned care procedure), which increase the likelihood of death in hospital. The objectives were to describe the occurrence and causes of UHAs in cancer patients receiving end-of-life care at home, and to identify factors associated with UHAs and death in hospital.

Methods

A retrospective, single-center study (performed at a regional cancer center in the city of Lille, northern France) of advanced cancer patients discharged to home hospitalization between January 2014 and December 2017. We estimated the incidence of UHA over time using Kaplan-Meier method and Kalbfleish and Prentice method. We investigated factors associated with the risk UHA in cause-specific Cox models. We evaluated factors associated with death in hospital in logistic regressions.

Results

One hundred and forty-two patients were included in the study. Eighty-two patients (57.7 %) experienced one or more UHAs, a high proportion of which occurred within 1 month after discharge to home. Most UHAs were related to physical symptoms and were initiated by the patient’s family physician. A post-discharge palliative care consultation was associated with a significantly lower incidence of UHAs. Sixty-five patients (47.8 % of the deaths) died in hospital. In a multivariate analysis, living alone and the presence of one or more children at home were associated with death in hospital.

Conclusions

More than 40 % of cancer patients receiving end of life home hospitalization were not readmitted to hospital, reflecting the effectiveness of this type of palliative care setting. However, over half of the UHAs were due to an acute intercurrent event. Our results suggest that more efforts should be focused on anticipating these events at home – primarily via better upstream coordination between hospital physicians and family physicians.

Creating and Validating a Predictive Model for Suitability of Hospital at Home for Patients With Solid-Tumor Malignancies

PURPOSE

Hospital at home (HaH) is a means of providing inpatient-level care at home. Selection of admissions potentially suitable for HaH in oncology is not well studied. We sought to create a predictive model for identifying admissions of patients with cancer, specifically solid-tumor malignancies, potentially suitable for HaH.

METHODS

In this observational study, we analyzed admissions of patients with solid-tumor malignancies and unplanned admissions (January 1, 2015, to June 12, 2019) at an academic, urban cancer hospital. Potential suitability for HaH was the primary outcome. Admissions were considered potentially suitable if they did not involve escalation of care, rapid response evaluation, in-hospital death, telemetry, surgical procedure, consultation to a procedural service, advanced imaging, transfusion, restraints, and nasogastric tube placement. Admission source, patient demographics, vital signs, laboratory test results, comorbidities, admission and active cancer diagnoses, and recent hospital utilization were included as candidate variables in a multivariable logistic regression model.

RESULTS

Of 3,322 admissions, 905 (27.2%) patients were potentially suitable for HaH. After variable selection in the derivation cohort (n = 1,097), thirteen factors predicted potential suitability: admission source; temperature and respiratory rate at presentation; hemoglobin; breast cancer, GI cancer, or malignancy of secondary or ill-defined origin; admission for genitourinary, musculoskeletal, or neurologic symptoms, intestinal obstruction or ileus, or evaluation of secondary malignancy; and emergency department visit in prior 90 days. Model c-statistics were 0.71 (95% CI, 0.68 to 0.75) and 0.63 (0.59 to 0.67) in the derivation and validation (n = 1,095) cohorts.

CONCLUSION

Hospital admissions of patients potentially suitable for HaH may be identifiable using data available at admission.

Cost Analysis of Cancer in Brazil: A Population-Based Study of Patients Treated by Public Health System From 2001-2015

OBJECTIVES

The aim of this study was to evaluate the federal government expenditures with oncological care, for the most incident cancer types among the Brazilian population, using registries of all patients treated by the Brazilian National Health Service (SUS) between 2001 and 2015. We adopted the formal healthcare sector perspective in this study, with the costs per patient estimated by the reimbursement price paid by the Ministry of Health to service providers.

METHODS

The costs were adjusted by the follow-up time for each patient. We performed multivariate regression analysis using ordinary least squares. We analyzed 952 960 patients aged ≥19 years who underwent cancer treatment, between 2001 and 2015, for breast, prostate, colorectal, cervix, lung, and stomach cancers.

RESULTS

The annual mean costs per patient (in USD purchasing power parity) was $9572.30, varying from $5782.10 for breast cancer to $16 656 for cervical cancer. Several variables predicted higher costs of cancer treatment, namely: to be male (+14%), with younger age ranges at treatment initiation, resident in the Northeast region (+26%), treated for colorectal cancer (+482%), with treatment initiation from 2010 to 2014, tumor stages III and IV (III: +182%; IV: +165%), hospitalization for other reasons besides the cancer treatment, and suffering from some a comorbidity.

CONCLUSIONS

Given the forthcoming Brazilian demographic changes, which strongly suggest that the economic burden of cancer is about to increase in the near future, our estimates provide relevant information to produce useful projections about future cancer-related costs.

Disparities in the enrollment to systemic therapy and survival for patients with multiple myeloma

Background

Disparities driven by socioeconomic factors have been shown to impact outcomes for cancer patients. We sought to explore this relationship among patients with multiple myeloma (MM) who were not considered for hematopoietic stem cell transplant in the first-line setting and how it varied over time.

Methods

We queried the National Cancer Database for patients diagnosed with MM between 2004 and 2016 and included only those who received systemic therapy as the first-line treatment. Enrollment rates for therapy were calculated as receipt of systemic therapy as the incident event of interest (numerator) over time to initiation of therapy (denominator) and used to calculate incident rate ratios that were further analyzed using Poisson regression analysis. A multivariate Cox proportional hazards model was constructed for survival analysis, and differences were reported as hazard ratios (HRs).

Results

We identified 56,102 patients for enrollment analysis and 50,543 patients for survival analysis. Therapy enrollment in a multivariate model was significantly impacted by race and sex (p < .005). Advanced age, earlier year of diagnosis, lack of insurance or Medicaid, and higher comorbidity were associated with poor survival (HR > 1), whereas female sex, non-Hispanic black race, higher income, and treatment at an academic center were associated with improved survival (HR < 1).

Conclusion

Disparities in treatment of MM exist and are caused by a complex interplay of multiple factors, with socioeconomic factor playing a significant role. Studies exploring such determinants may help in equitable distribution of resources to overcome such differences.

Decreasing Cost and Decreasing Length of Stay After Implementation of Updated High-Dose Methotrexate Discharge Criteria

PURPOSE

High-dose methotrexate (HD-MTX) is commonly used for the treatment of osteosarcoma or for CNS involvement in lymphoproliferative neoplasms. It is often given in the inpatient setting because of monitoring requirements after administration. We conducted a process improvement initiative to change our institutional discharge criteria for HD-MTX from 0.05 µmol/L to ≤ 0.1 µmol/L to reduce cost and length of stay (LOS) for this patient population.

METHODS

After an assessment of drivers of LOS among patients receiving HD-MTX, we identified discharge criteria as an actionable factor. We developed a workflow to discharge patients with 3 days of oral leucovorin and sodium bicarbonate when the methotrexate level reached ≤ 0.1 µmol/L. Patient demographics, chemotherapy regimen, cycle, dose, and LOS data were collected for a 7-month period before and a 4-month period after the intervention. Cost savings were estimated on the basis of the daily cost of a hospital bed at the institution.

RESULTS

Mean LOS for the pre-intervention and postintervention group was 4.84 days (n = 49) and 3.67 days (n = 42), respectively, resulting in a 24.4% reduction in LOS, with a mean ratio of 0.756 (95% CI, 0.615 to 0.927; P = .007). Reduced LOS resulted in a decrease in cost of $1,828.73 per admission, with a 4-month savings of $76, 806.56 and projected annualized savings of $230,419.67. No patient experienced complications because of the change in discharge criteria.

CONCLUSION

Liberalizing discharge criteria for HD-MTX was feasible and safe and reduced cost. Additional efforts to reduce LOS for elective chemotherapy admissions or to safely transition some of these complex regimens to the home setting are currently underway at our institution.

The impact of initial treatment strategy and survival time on quality of end-of-life care among patients with oesophageal and gastric cancer: A population-based cohort study

BACKGROUND

Oesophageal and gastric cancer are highly lethal malignancies with a 5-year survival rate of 15-29%. More knowledge is needed about the quality of end-of-life care in order to understand the burden of the illness and the ability of the current health care system to deliver timely and appropriate end-of-life care. The aim of this study was to describe the impact of initial treatment strategy and survival time on the quality of end-of-life care among patients with oesophageal and gastric cancer.

METHODS

This register-based cohort study included patients who died from oesophageal and gastric cancer in Sweden during 2014-2016. Through linking data from the National Register for Esophageal and Gastric Cancer, the National Cause of Death Register, and the Swedish Register of Palliative Care, 2156 individuals were included. Associations between initial treatment strategy and survival time and end-of-life care quality indicators were investigated. Adjusted risk ratios (RRs) with 95% confidence intervals were calculated using modified Poisson regression.

RESULTS

Patients with a survival of ≤3 months and 4-7 months had higher RRs for hospital death compared to patients with a survival ≥17 months. Patients with a survival of ≤3 months also had a lower RR for end-of-life information and bereavement support compared to patients with a survival ≥17 months, while the risks of pain assessment and oral assessment were not associated with survival time. Compared to patients with curative treatment, patients with no tumour-directed treatment had a lower RR for pain assessment. No significant differences were shown between the treatment groups regarding hospital death, end-of-life information, oral health assessment, and bereavement support.

CONCLUSIONS

Short survival time is associated with several indicators of low quality end-of-life care among patients with oesophageal and gastric cancer, suggesting that a proactive palliative care approach is imperative to ensure quality end-of-life care.

Hospitalization Risk During Chemotherapy for Advanced Cancer: Development and Validation of Risk Stratification Models Using Real-World Data

PURPOSE

Hospitalizations are a common occurrence during chemotherapy for advanced cancer. Validated risk stratification tools could facilitate proactive approaches for reducing hospitalizations by identifying at-risk patients.

PATIENTS AND METHODS

We assembled two retrospective cohorts of patients receiving chemotherapy for advanced nonhematologic cancer; cohorts were drawn from three integrated health plans of the Cancer Research Network. We used these cohorts to develop and validate logistic regression models estimating 30-day hospitalization risk after chemotherapy initiation. The development cohort included patients in two health plans from 2005 to 2013. The validation cohort included patients in a third health plan from 2007 to 2016. Candidate predictor variables were derived from clinical data in institutional data warehouses. Models were validated based on the C-statistic, positive predictive value, and negative predictive value. Positive predictive value and negative predictive value were calculated in reference to a prespecified risk threshold (hospitalization risk ≥ 18.0%).

RESULTS

There were 3,606 patients in the development cohort (median age, 63 years) and 634 evaluable patients in the validation cohort (median age, 64 years). Lung cancer was the most common diagnosis in both cohorts (26% and 31%, respectively). The selected risk stratification model included two variables: albumin and sodium. The model C-statistic in the validation cohort was 0.69 (95% CI, 0.62 to 0.75); 39% of patients were classified as high risk according to the prespecified threshold; 30-day hospitalization risk was 24.2% (95% CI, 19.9% to 32.0%) in the high-risk group and 8.7% (95% CI, 6.1% to 12.0%) in the low-risk group.

CONCLUSION

A model based on data elements routinely collected during cancer treatment can reliably identify patients at high risk for hospitalization after chemotherapy initiation. Additional research is necessary to determine whether this model can be deployed to prevent chemotherapy-related hospitalizations.

Hospitalizations and length of stay of cancer patients: A cohort study in the Brazilian Public Health System

The hospitalizations are part of cancer care and has been studied by researchers worldwide. A better understanding about their associated factors may help to achieve improvements on this area. The aims of this study were to investigate the association between demographic and clinical characteristics and hospitalizations, as well as between these characteristics and the length of stay (LOS), within the first year of outpatient treatment, for the most incident cancers in the Brazilian population. In this cohort study, we investigated 417,477 patients aged 19 years or more, who started outpatient cancer treatment, from 2010-2014, for breast, prostate, colorectal, cervix, lung and stomach cancers. The outcomes evaluated were: i) Hospitalizations within the first year of outpatient cancer treatment; and ii) LOS of the hospitalized patients. It was performed a binary logistic regression to evaluate the association between the explanatory variables and the hospitalizations and a negative binomial regression to evaluate their influence on the length of hospital stay. The hospitalizations occurred for 34% of patients, with a median of LOS of 6 days (IQR: 2-15). Female patients were 16% less likely to be hospitalized (OR: 0.84; 95% CI: 0.82-0.86), with lower average of LOS (AR: 0.98; 95% CI: 0.97-0.99), each additional year of age reduced in 2% the hospitalization odds (OR: 0.98; 95% CI: 0.98-0.99) and in 1% the average of LOS (AR: 0.99; 95% CI: 0.98-0.99), patients from South region had twice more chances of hospitalization than from North region (OR: 2.01; 95% CI: 1.93-2.10) and patients with colorectal cancer had greater probability of hospitalization (OR: 4.42; 95% CI: 4.27-4.48), with the highest average of LOS (AR: 1.37; 95% CI: 1.35-1.40). In view of our results, we consider that the government must expand the policies with potential to reduce the number of hospitalizations.

Care Models Preventing Readmission

OBJECTIVES

This article aims to identify the steps necessary to evaluate the clinical need for innovative coverage models within the oncology setting to help prevent hospital readmissions.

DATA SOURCES

Multiple published studies suggest alternative methods for patient care delivery that are safe and cost effective.

CONCLUSION

Improving care transitions for the oncology patient is necessary to be able to provide low-cost, high-quality, and patient-centered care. Many of the review studies in this article suggest that emergency room visits and subsequent readmission could be decreased with the use of innovative care models.

IMPLICATIONS FOR NURSING PRACTICE

Nurses are critical to the care of medically fragile patients. Nurse-led activities such as telephone triage, post discharge phone calls, or telehealth visits can reduce patient emergency department utilization and readmissions through early recognition of symptoms and oncologic emergencies by prompting timely referrals/consultations and quick interventions.

Prognostic Significance of Patient-Reported Outcomes in Cancer

PURPOSE

Performance status (PS), an established prognostic surrogate of cancer survival, is a physician-synthesized metric of patient symptoms and mobility that is prone to bias and subjectivity. The National Cancer Institute (NCI) Patient-Reported Outcomes Measurement Information System-Cancer (PROMIS-Ca) Bank, a patient-centric patient-reported outcome (PRO) evaluation of physical function (PF), fatigue, depression, anxiety, and pain, shares subject matter with PS and, therefore, may also be prognostic while eliminating physician interpretation.

METHODS

Patients at Huntsman Cancer Institute were assessed using the NCI PROMIS-Ca Bank. Using tablets at routine office visits, PF, fatigue, depression, anxiety, and pain scores were collected from patients with advanced melanoma, non-small-cell lung cancer, colorectal cancer, and breast cancer. A PRO score collected at a single time point within 6 months of metastatic diagnosis for each patient was merged with curated clinical outcome data. The association of PROs, overall survival (OS), and hospitalization-free survival (HFS) were assessed in multivariable analysis that included sex and cancer type.

RESULTS

Two hundred eighty-two complete sets of patient data were available for analysis. All 5 PRO domains were strongly prognostic of OS and HFS. While the PRO domains were interrelated with moderate to strong correlations (0.40-0.79), multivariable regression suggested that PF was most strongly associated with the clinical outcomes of OS (P < .001) and HFS (P < .001).

CONCLUSION

NCI PROMIS-Ca PROs may be prognostic of both cancer survival and likelihood of hospitalization. Future prospective studies are needed for all major prognostic factors to fully understand the independent prognostic value of PROs.

Palliative care utilization in hospitalized children with cancer

BACKGROUND

There is growing evidence that palliative care (PC) is associated with increased quality of life in children with cancer. Despite increasing recommendations in support of PC to improve pediatric oncology care, little is known about its patterns of use.

METHODS

We analyzed the 2005-2011 National Inpatient Sample, a representative, cross-sectional sample of US hospital admissions. Our study cohort comprised 10 960 hospitalizations of children with cancer and high in-hospital mortality risk. Survey-weighted regression models were constructed to determine associations of person- and hospital-level characteristics with PC involvement and healthcare costs.

RESULTS

Overall, 4.4% of hospitalizations included PC involvement. In regression models invoking stepwise variable selection, a shorter length of stay (PC vs no PC; mean: 23.9 vs 32.6 days), solid cancer (solid vs hematologic vs brain cancer; PC use: 7.4% vs 2.8% vs 5.5%), and older age (PC vs no PC; mean: 10.2 vs 8.9 years) were associated with PC use. PC utilization was also associated with lower overall and daily hospital costs.

CONCLUSIONS

One in 20 pediatric inpatients with cancer and high mortality risk receives PC, with differential utilization by socio-economic groups. These results have significant implications for public health resource allocation and the delivery of pediatric PC as high-value care. Future research should focus on the development of new tools to help physicians assess when PC is appropriate for their patients.

Predicting survival in cancer patients with and without 30-day readmission of an unplanned hospitalization using a deficit accumulation approach

BACKGROUND

For cancer patients with an unplanned hospitalization, estimating survival has been limited. We examined factors predicting survival and investigated the concept of using a deficit-accumulation survival index (DASI) in this population.

METHODS

Data were abstracted from medical records of 145 patients who had an unplanned 30-day readmission between 01/01/16 and 09/30/16. Comparison data were obtained for patients who were admitted as close in time to the date of index admission of a study patient, but who did not experience a readmission within 30 days of their discharge date. Our survival analysis compared those readmitted within 30 days versus those who were not. Scores from 23 medical record elements used in our DASI system categorized patients into low-, moderate-, and high-score groups.

RESULTS

Thirty-day readmission was strongly associated with the survival (adjusted hazard ratio [HR] 2.39; 95% confidence interval [CI], 1.46-3.92). Patients readmitted within 30 days of discharge from index admission had a median survival of 147 days (95% CI, 85-207) versus patients not readmitted who had not reached median survival by the end of the study (P < .0001). DASI was useful in predicting the survival; median survival time was 78 days (95% CI, 61-131) for the high score, 318 days (95% CI, 207-426) for the moderate score, and not reached as of 426 days (95% CI, 251 to undetermined) for the low-score DASI group (P < .0001).

CONCLUSIONS

Patients readmitted within 30 days of an unplanned hospitalization are at higher risk of mortality than those not readmitted. A novel DASI developed from clinical documentation may help to predict survival in this population.

Socio-demographic and disease related characteristics associated with unplanned emergency department visits by cancer patients: a retrospective cohort study

Background

Emergency department (ED) presentations made by patients having cancer treatment are associated with worth outcomes. This study aimed to explore the socio-demographic and disease related characteristics associated with ED presentation, frequent ED presentations, and place of discharge for cancer patients receiving systemic cancer therapies in the ambulatory setting.

Methods

This was a single site, retrospective observational cohort design. Hospital data for patients treated in the Day Oncology Unit of a large public tertiary hospital in Melbourne, Australia between December 2014 and November 2017 were extracted from clinical databases and retrospectively matched to ED attendance records. Andersen’s Behavioral Model of Health Service Utilisation provided the conceptual framework for exploring associations between socio-demographic and disease characteristics and ED use.

Results

A total of 2638 individuals were treated in the Day Oncology Unit over the study dates. Of these, 1182 (45%) made an unplanned ED presentation within 28 days of receiving systemic cancer therapy. One hundred and twenty-two (12%) patients attended the ED on two or more occasions within 28 days; while 112 (10%) patients attended the ED four or more times (within 28 days of receiving systemic cancer therapy) within any given 12 month period. Being born outside of Australia was independently related to making an unplanned ED presentation within 28 days of receiving anti-cancer therapy (p < .01) as was being diagnosed with head and neck (p = .03), upper gastrointestinal (p < .001), colorectal (p < .001), lung (p < .001), skin (p < .001) or breast cancer (p = .01).

Conclusions

This study identified a subgroup of cancer patients for whom an ED presentation is more likely. Better understanding of socio-demographic and disease related characteristics associated with the risk of an ED presentation may help inform targeted follow up of patients, to mitigate potentially avoidable ED presentation and optimize outcomes of care.

Resource use in the last three months of life by lung cancer patients in southern Ontario

Background

End-of-life cancer care involves multidisciplinary teams working in various settings. Evaluating the quality of care and the feedback from such processes is an important aspect of health care quality improvement. Our retrospective cohort study reviewed health care use by lung cancer patients at end of life, their reasons for visiting the emergency department (ed), and feedback from regional health care professionals.

Methods

We assessed 162 Ontario patients with small-cell and relapsed or advanced non-small-cell lung cancer. Demographics, disease characteristics, and resource use were collected, and the consenting caregivers for patients with ed visits were interviewed. Study results were disseminated, and feedback about barriers to care was sought.

Results

Median patient age was 69 years; 73% of the group had non-small-cell lung cancer; and 39% and 69% had received chemotherapy and radiation therapy respectively. Median overall survival was 5.6 months. In the last 3 months of life, 93% of the study patients had visited an oncologist, 67% had telephoned their oncology team, 86% had received homecare, and 73% had visited the ed. Death occurred for 55% of the patients in hospital; 23%, at home; and 22%, in hospice. Goals of care had been documented for 68% of the patients. Homecare for longer than 3 months was associated with fewer ed visits (80.3% vs. 62.1%, p = 0.022). Key themes from stakeholders included the need for more resources and for effective communication between care teams.

Conclusions

Use of acute-care services and rates of death in an acute-care facility are both high for lung cancer patients approaching end of life. In our study, interprofessional and patient-provider communication, earlier connection to homecare services, and improved access to community care were highlighted as having the potential to lower the need for acute-care resources.

Effect of Treatment on Damage and Hospitalization in Elderly Patients with Microscopic Polyangiitis and Granulomatosis with Polyangiitis

Objective.

Age is a risk factor for organ damage, adverse events, and mortality in microscopic polyangiitis (MPA) and granulomatosis with polyangiitis (GPA). However, the relationship between treatment and damage, hospitalizations, and causes of death in elderly patients is largely unknown.

Methods.

Consecutive patients from Sweden, the United Kingdom, and the Czech Republic diagnosed between 1997 and 2013 were included. Inclusion criteria were a diagnosis of MPA or GPA and age 75 years or more at diagnosis. Treatment with cyclophosphamide (CYC), rituximab (RTX), and corticosteroids the first 3 months was registered. Outcomes up to 2 years from diagnosis included Vasculitis Damage Index (VDI), hospitalization, and cause of death.

Results.

Treatment data were available for 167 of 202 patients. At 2 years, 4% had no items of damage. There was a positive association between VDI score at 2 years and Birmingham Vasculitis Activity Score at onset, and a negative association with treatment using CYC or RTX. Intravenous methylprednisolone dose was associated with treatment-related damage. During the first year, 69% of patients were readmitted to hospital. Myeloperoxidase–antineutrophil cytoplasmic antibody positivity and lower creatinine levels decreased the odds of readmission. The most common cause of death was infection, and this was associated with cumulative oral prednisolone dose.

Conclusion.

Immunosuppressive treatment with CYC or RTX in elderly patients with MPA and GPA was associated with development of less permanent organ damage and was not associated with hospitalization. However, higher doses of corticosteroids during the first 3 months was associated with treatment-related damage and fatal infections.

Trends in the Utilization of Life-Sustaining Procedures and Palliative Care Consultation Among Dying Patients With Advanced Chronic Pancreas Illnesses in US Hospitals: 2005 to 2014

AIM

Pancreas cancer continues to carry a poor prognosis. Hospitalized patients with advanced chronic pancreatic illnesses increasingly receive palliative care due to its perceived clinical benefits. Meanwhile, a growing proportion of elderly patients are reportedly receiving life-sustaining procedures. Temporal trends in the utilization of life-sustaining procedures and palliative care consultation among dying patients with advanced chronic pancreatic illnesses in US hospitals were examined.

METHODS AND MATERIALS

A serial, cross-sectional analysis was carried out using the National Inpatient Sample Database. Decedents 18 years and older with a principal diagnosis of pancreas cancer or other advanced chronic pancreatic illnesses from 2005 through 2014. The compound annual growth rates (CAGRs) and Cochrane-Armitage correction of χ² statistic were used. The receipt of life-sustaining systemic procedures, intra-abdominal local procedures and surgeries, and palliative care consultation were examined. Multilevel multivariate logistic regressions were performed to examine the association of various procedures with the utilization of palliative care consultation.

RESULTS

Among 77 394 183 hospitalizations, 29 515 patients were examined. The CAGRs of systemic procedures, intra-abdominal procedures, surgeries, and palliative care were -4.19% (P = .008), 2.17%, -1.40%, and 14.03% (P < .001), respectively. The receipt of systemic procedures (odds ratio [OR] = 2.40, 95% confidence interval [CI], 2.08-2.74), local intra-abdominal procedures (OR = 1.46, 95% CI, 1.27-1.70), and surgeries (OR = 2.51, 95% CI, 2.07-3.05) was associated with palliative care consultation (Ps < .001).

CONCLUSIONS

Among adults with pancreatic cancer or other advanced chronic pancreatic illnesses in the US hospitals from 2005 to 2014, the utilization of life-sustaining systemic procedures decreased while the prevalence of palliative care consultation increased.

National trends in diabetes mellitus hospitalization in Spain 1997-2010: Analysis of over 5.4 millions of admissions

AIMS

To analyze national trends in the rates of hospitalizations (all-cause and by principal discharge diagnosis) in total diabetic population of Spain.

METHODS

We carried out a nation-wide population-based study of all diabetic patients hospitalized between 1997 and 2010. All-cause hospitalizations, hospitalizations by principal discharge diagnosis, mean age, Charlson Comorbidity Index, readmission rates and length of hospital stay were examined. Annual rates adjusted for age and sex were analyzed and trends were calculated.

RESULTS

Over 14-years-period, all-cause hospitalizations of diabetic patients increased significantly, with an average annual percentage change of 2.5 (95%CI: 1.5-3.5; P_trend < 0.01). The greatest increase was observed in heart failure (5.4; 95%CI: 4.8-6.0; P_trend < 0.001), followed by neoplasms (4.9; 95%CI: 3.6-5.8; P_trend < 0.001), pneumonia (2.7; 95%CI: 2.0-4.0; P_trend < 0.001), stroke (2.4; 95%CI: 1.6-3.4; P_trend < 0.001), chronic obstructive pulmonary disease (2.0; 95%CI: 1.4-3.4; P_trend < 0.001) and coronary artery disease (1.6; 95%CI: 1.1-2.3; P_trend < 0.01). The adjusted number of all-cause hospitalizations of patients with diabetes per 100,000 inhabitants increased 2.6-fold. The increase in hospitalizations was significantly higher among patients ≥75 years old. Males experienced a greater increase in all-cause, neoplasm, heart failure, chronic obstructive pulmonary disease, and pneumonia hospitalizations (p < 0.01 for all). Hospitalized diabetic patients were progressively older and had more comorbidities, higher readmission rates and shorter hospital stays (p < 0.05 for all).

CONCLUSIONS

Hospitalizations of diabetic patients more than doubled in Spain during the study period. Heart failure and neoplasms experienced the greatest annual increases and remained the principal causes of hospitalization, probably associated with advanced age and comorbidities of hospitalized diabetics. Coronary and cerebrovascular diseases experienced a lower annual increase, suggesting an improvement in cardiovascular care in diabetes in Spain.

Unplanned Hospitalization Among Individuals With Cancer in the Year After Diagnosis

PURPOSE

Reducing acute care use is an important strategy for improving value in cancer care. However, little information is available to describe and compare population-level hospital use across cancer types. Our aim was to estimate unplanned hospitalization rates and to describe the reasons for hospitalization in a population-based cohort recently diagnosed with cancer.

MATERIALS AND METHODS

California Cancer Registry data linked with administrative inpatient data were used to examine unplanned hospitalization among individuals diagnosed with cancer between 2009 and 2012 (n = 412,850). Hospitalizations for maintenance chemotherapy, radiotherapy, or planned surgery were excluded. Multistate models were used to estimate age-adjusted unplanned hospitalization rates, accounting for survival.

RESULTS

Approximately 67% of hospitalizations in the year after diagnosis were unplanned, 35% of newly diagnosed individuals experienced an unplanned hospitalization, and 67% of unplanned hospitalizations originated in the emergency department (ED). Nonmalignancy principal diagnoses most frequently associated with unplanned hospitalization included infection (15.8%) and complications of a medical device or care (6.5%). Unplanned hospitalization rates were highest for individuals with hepatobiliary or pancreatic cancer (2.08 unplanned hospitalizations per person-year at risk), lung cancer (1.58 unplanned hospitalizations), and brain or CNS cancer (1.47 unplanned hospitalizations), and were lowest among individuals with prostate cancer (0.18 unplanned hospitalizations) and melanoma (0.25 unplanned hospitalizations).

CONCLUSION

The population burden of unplanned hospitalization among individuals newly diagnosed with cancer is substantial. Many unplanned hospitalizations originate in the ED and are associated with potentially preventable admission diagnoses. Efforts to reduce unplanned hospitalization might target subgroups at higher risk and focus on the ED as a source of admission.

Hospital utilization and disposition among patients with malignant bowel obstruction: a population-based comparison of surgical to medical management

BACKGROUND

Malignant bowel obstruction (MBO) is often a terminal event in end-stage cancer patients. The decision to intervene surgically is complex, given the risk of harm in patients with a limited lifespan. Therefore, we sought to compare clinically meaningful outcomes in MBO patients treated with surgical versus medical management using population-based data.

METHODS

We performed a retrospective analysis of hospitalized patients with MBO from 2006 to 2010 using the California Office of Statewide Health Planning and Development dataset. Hospital-free days (HFDs) at 30-, 90-, and 180-days were calculated accounting for all hospitalization, emergency department visit, and skilled nursing facility lengths of stay. Adjusted regression models were used to compare HFDs, disposition, complications, in-hospital death, and survival for surgical versus medical MBO cohorts, using inverse probability of treatment weighting with propensity scores.

RESULTS

Of 4576 MBO patients, 3421 (74.8%) were treated medically and 1155 (25.2%) were treated surgically. Surgical patients had higher rates of complications (44.0% vs. 21.3%, p < 0.0001) and in-hospital death (9.5% vs. 3.9%, p < 0.0001) with lower rates of disposition to home (76.3% vs. 89.8%, p < 0.0001). Surgical patients had fewer 30- and 90-day HFDs compared to medical patients (p < 0.01). However, at 180-days, there were no differences in HFDs between treatment groups. There was no difference in overall survival between surgical and medical patients (median 6.5 vs. 6.4 months).

CONCLUSION

In this population-based analysis, medical management was associated with less hospital utilization at 30- and 90-days, fewer in-hospital deaths, and more frequent discharges to home. These data underscore the potential benefits of medical management for MBO patients at the end-of-life.

Assessment of Between-Hospital Variation in Readmission and Mortality After Cancer Surgical Procedures

Importance

Although current federal quality improvement programs do not include cancer surgery, the Centers for Medicare & Medicaid Services and other payers are considering extending readmission reduction initiatives to include these and other common high-cost episodes.

Objectives

To quantify between-hospital variation in quality-related outcomes and identify hospital characteristics associated with high and low performance.

Design, Setting, and Participants

This retrospective cohort study obtained data through linkage of the California Cancer Registry to hospital discharge claims databases maintained by the California Office of Statewide Health Planning and Development. All 351 acute care hospitals in California at which 1 or more adults underwent curative intent surgery between January 1, 2007, and December 31, 2011, with analyses finalized July 15, 2018, were included. A total of 138 799 adults undergoing surgery for colorectal, breast, lung, prostate, bladder, thyroid, kidney, endometrial, pancreatic, liver, or esophageal cancer within 6 months of diagnosis, with an American Joint Committee on Cancer stage of I to III at diagnosis, were included.

Main Outcomes and Measures

Measures included adjusted odds ratios and variance components from hierarchical mixed-effects logistic regression analyses of in-hospital mortality, 90-day readmission, and 90-day mortality, as well as hospital-specific risk-adjusted rates and risk-adjusted standardized rate ratios for hospitals with a mean annual surgical volume of 10 or more.

Results

Across 138 799 patients at the 351 included hospitals, 8.9% were aged 18 to 44 years and 45.9% were aged 65 years or older, 57.4% were women, and 18.2% were nonwhite. Among these, 1240 patients (0.9%) died during the index admission. Among 137 559 patients discharged alive, 19 670 (14.3%) were readmitted and 1754 (1.3%) died within 90 days. After adjusting for patient case-mix differences, evidence of statistically significant variation in risk across hospitals was identified, as characterized by the variance of the random effects in the mixed model, for all 3 metrics (P < .001). In addition, substantial variation was observed in hospital performance profiles: across 260 hospitals with a mean annual surgical volume of 10 or more, 59 (22.7%) had lower-than-expected rates for all 3 metrics, 105 (40.4%) had higher-than-expected rates for 2 of the 3, and 19 (7.3%) had higher-than-expected rates for all 3 metrics.

Conclusions and Relevance

Accounting for patient case-mix differences, there appears to be substantial between-hospital variation in in-hospital mortality, 90-day readmission, and 90-day mortality after cancer surgical procedures. Recognizing the multifaceted nature of hospital performance through consideration of mortality and readmission simultaneously may help to prioritize strategies for improving surgical outcomes.