Inpatient hospitalization of oncology patients: are we missing an opportunity for end-of-life care?

The potential for deprescribing in a palliative oncology patient population: a cross-sectional study

OBJECTIVES

The use of preventive medication in palliative oncology patients may be inappropriate due to limited life expectancy. Deprescribing tools are available but time-consuming and not always tailored to this specific population. Our primary goal was to identify potentially inappropriate medications (PIMs) in palliative oncology patients with a life expectancy of up to 2 years using an adapted deprescribing tool. Our secondary aim was to identify patient characteristics associated with the presence of PIMs.

METHODS

Oncology patients with a life expectancy of up to 2 years were included cross-sectionally. An adapted deprescribing tool was developed to identify PIMs. Logistic regression was used to identify factors associated with having PIMs.

RESULTS

A total of 218 patients were included in this study of which 56% had at least one PIM with a population mean of 1.1 PIM per patient. Most frequently defined PIMs were antihypertensive drugs and gastric acid inhibitors. Identification of PIMs by review took an estimated 5-10 min per patient. Polypharmacy, age >65 years and inpatient/outpatient status were found to be associated with having at least one PIM.

CONCLUSIONS

Deprescribing is possible in more than half of palliative oncology patients with a life expectancy of up to 2 years. The adapted deprescribing tool used is non-time consuming and suitable for palliative oncology patients, regardless of age.

Oncology hospitalist impact on hospice utilization

BACKGROUND

Unplanned hospitalizations among patients with advanced cancer are often sentinel events prompting goals of care discussions and hospice transitions. Late referrals to hospice, especially those at the end of life, are associated with decreased quality of life and higher total health care costs. Inpatient management of patients with solid tumor malignancies is increasingly shifting from oncologists to oncology hospitalists. However, little is known about the impact of oncology hospitalists on the timing of transition to hospice.

OBJECTIVE

To compare hospice discharge rate and time to hospice discharge on an inpatient oncology service led by internal medicine-trained hospitalists and a service led by oncologists.

METHODS

At Smilow Cancer Hospital, internal medicine-trained hospitalists were integrated into one of two inpatient medical oncology services allowing comparison between the new, hospitalist-led service (HS) and the traditional, oncologist-led service (TS). Discharges from July 26, 2021, through January 31, 2022, were identified from the electronic medical record. The odds ratio for discharge disposition by team was calculated by logistic regression using a multinomial distribution. Adjusted length of stay before discharge was assessed using multivariable linear regression.

RESULTS

The HS discharged 47/400 (11.8%) patients to inpatient hospice, whereas the TS service discharged 18/313 (5.8%), yielding an adjusted odds ratio of 1.94 (95% CI, 1.07-3.51; p = .03). Adjusted average length of stay before inpatient hospice disposition was 6.83 days (95% CI, 4.22-11.06) for the HS and 16.29 days (95% CI, 7.73-34.29) for the TS (p = .003).

CONCLUSIONS

Oncology hospitalists improve hospice utilization and time to inpatient hospice referral on an inpatient medical oncology service.

PLAIN LANGUAGE SUMMARY

Patients with advanced cancer are often admitted to the hospital near the end of life. These patients generally have a poor chance of long-term survival and may prefer comfort-focused care with hospice. In this study, oncology hospitalists discharged a higher proportion of patients to inpatient hospice with less time spent in the hospital before discharge.

Patients with cancer and hospital admissions: disease trajectory and strategic choices

OBJECTIVES

Hospital admission (HA) in cancer history is a common, repeated and frequently unplanned event. The emergency departments (EDs) and the oncological outpatient service (OOS) are the ordinary way of entry. We studied the reasons of admission, pathways of access and discharge and prognostic factors in a population of admitted patients with cancer.

METHODS

The health records of the admitted patients in the oncological ward of a referral hospital in a 6-month period were retrieved and analysed. The characteristics of those admitted in the last 3 months of life were compared with the other group.

RESULTS

Among the 147 HA, 79.5% were unplanned, 48.9% passing through the ED and 30.6% through the OOS; 56.5% were due to cancer-related symptoms; 50.3% occurred in the last 3 months of life. Median overall survival was 90 days (95% IC 53.1-126.9). Independent prognostic factors for survival were: being admitted for symptoms, referral through the ED and not being discharged at home.

CONCLUSIONS

Hospital is a turning point in the cancer care pathway. Patients needing HA have a dismal prognosis, half of them being in the last 3 months of life. This group can be identified using universally available variables.

Association of palliative care and hospital outcomes among solid tumour oncology inpatients

OBJECTIVES

We aimed to explore the association between receiving an inpatient palliative care consultation and hospital outcomes, including in-hospital death, intensive care unit (ICU) use, discharge to hospice, 30-day readmissions and 30-day emergency department (ED) visits.

METHODS

We conducted a retrospective chart review of Yale New Haven Hospital medical oncology admissions from January 2018 through December 2021, with and without inpatient palliative care consultations. Hospital outcome data were extracted from medical records and operationalised as binary. Multivariable logistic regression was used to estimate ORs for the association between number of inpatient palliative care consultations and hospital outcomes.

RESULTS

Our sample included 19 422 patients. Age, Rothman Index, site of malignancy, length of stay, discharge to hospice, ICU admissions, hospital death and readmissions within 30 days differed significantly between patients who received versus did not receive a palliative care consultation. On multivariable analysis, receiving one additional palliative care consultation was significantly associated with higher odds of hospital death (adjusted OR=1.15, 95% CI 1.12 to 1.17) and discharge to hospice (adjusted OR = 1.23, 95% CI 1.20 to 1.26), and lower odds of ICU admission (adjusted OR=0.94, 95% CI 0.92 to 0.97). There was no significant association between palliative care consultations and readmission within 30 days or with ED visits within 30 days.

CONCLUSION

Inpatients receiving palliative care had increased likelihood of hospital death. However, when controlling for significant differences in patient presentation, patients had nearly 25% greater odds of discharge to hospice and less odds to transition to ICU level of care.

Delivering Palliative Care to Hospitalized Oncology Patients: A Scoping Review

CONTEXT

Early, longitudinal integration of palliative care (PC) is recommended for patients with advanced cancer, in both inpatient and outpatient settings. Despite the growth of specialty PC teams in the last decade, the majority of PC is still delivered in the inpatient setting using a traditional referral-based consult delivery model. However, traditional consultation can lead to significant variation or delay in inpatient PC utilization. New care delivery models and strategies are emerging to deliver PC to hospitalized oncology patients who would most benefit from their services and to better align with professional society recommendations.

OBJECTIVES

To identify different care models to deliver PC to ho`spitalized oncology patients and summarize their impact on patient and health system-related outcomes.

METHODS

We conducted a scoping review of peer-reviewed articles from 2006 to 2021 evaluating delivery of PC to oncology patients in acute inpatient care. We abstracted study characteristics, the study's intervention and comparison arms, and outcomes related to specialty PC intervention.

RESULTS

We identified four delivery models that have been reported to deliver PC: 1) traditional referral-based consultation, 2) criterion-based or "triggered" consultation, 3) co-rounding with primary inpatient team, and 4) PC clinicians serving as the primary team. We summarize the known outcomes data from each model, and compare the benefits and limitations of each model.

CONCLUSION

Our findings provide guidance to health systems about care delivery models to deploy and implement inpatient PC resources to best serve their unique populations.

Nurse-Administered Auricular Point Acupressure for Cancer-Related Pain

PURPOSE

The study aimed to (1) examine the feasibility of providing a training course on auricular point acupressure (APA) for clinical oncology nurses to integrate APA into real-world nursing care settings, and (2) examine the effectiveness of APA on cancer-related pain (CRP) under usual inpatient oncology ward conditions.

METHODS

This was a 2-phase feasibility study. Phase 1, an in-person, 8 hour training program was provided to oncology nurses. Phase 2, a prospective and feasibility study was conducted to evaluate the integration of APA into nursing care activities to manage CRP. Oncology patients were included if their pain was rated at ≥4 on a 0 to 10 numeric rating scale in the past 24 hours. Patients received 1 APA treatment administered by the nurses and were instructed to stimulate the points for 3 days. Study outcomes (pain intensity, fatigue, and sleep disturbance), pain medication use, and APA practice were measured by a phone survey daily.

RESULTS

Ten oncology nurses received APA training in phase 1. APA had been added to the hospital's electronic health records (EHRs) as a pain treatment. In phase 2, 33 oncology patients received APA treatment with a 100% adherence rate (pressing the seeds 3 times per day, 3 minutes per time based on the suggestion). The side effects of APA were minimal (~8%-12% felt tenderness on the ear). After 3 days of APA, patients reported 38% pain relief, 39% less fatigue, and 45% improvement in sleep disturbance; 24% reduced any type of pain medication use and 19% reduced opioid use (10 mg opioids using milligram morphine equivalent). The major barrier to integrating APA into routine nursing practice was time management (how to include APA in a daily workflow).

CONCLUSION

It is feasible to provide 8-hour training to oncology nurses for mastering APA skill and then integrating APA into their daily nursing care for patients with CRP. Based on the promising findings (decreased pain, improved fatigue and sleep disturbance, and less opioid use), the next step is to conduct a randomized clinical trial with a larger sample to confirm the efficacy of APA for oncology nurses to treat CRP in real-world practice.ClinicalTrial.gov identifier number: NCT04040140.

Integrating Tobacco Treatment Into Oncology Care: Reach and Effectiveness of Evidence-Based Tobacco Treatment Across National Cancer Institute-Designated Cancer Centers

PURPOSE

Quitting smoking improves patients' clinical outcomes, yet smoking is not commonly addressed as part of cancer care. The Cancer Center Cessation Initiative (C3I) supports National Cancer Institute-designated cancer centers to integrate tobacco treatment programs (TTPs) into routine cancer care. C3I centers vary in size, implementation strategies used, and treatment approaches. We examined associations of these contextual factors with treatment reach and smoking cessation effectiveness.

METHODS

This cross-sectional study used survey data from 28 C3I centers that reported tobacco treatment data during the first 6 months of 2021. Primary outcomes of interest were treatment reach (reach)-the proportion of patients identified as currently smoking who received at least one evidence-based tobacco treatment component (eg, counseling and pharmacotherapy)-and smoking cessation effectiveness (effectiveness)-the proportion of patients reporting 7-day point prevalence abstinence at 6-month follow-up. Center-level differences in reach and effectiveness were examined by center characteristics, implementation strategies, and tobacco treatment components.

RESULTS

Of the total 692,662 unique patients seen, 44,437 reported current smoking. Across centers, a median of 96% of patients were screened for tobacco use, median smoking prevalence was 7.4%, median reach was 15.4%, and median effectiveness was 18.4%. Center-level characteristics associated with higher reach included higher smoking prevalence, use of center-wide TTP, and lower patient-to-tobacco treatment specialist ratio. Higher effectiveness was observed at centers that served a larger overall population and population of patients who smoke, reported a higher smoking prevalence, and/or offered electronic health record referrals via a closed-loop system.

CONCLUSION

Whole-center TTP implementation among inpatients and outpatients, and increasing staff-to-patient ratios may improve TTP reach. Designating personnel with tobacco treatment expertise and resources to increase tobacco treatment dose or intensity may improve smoking cessation effectiveness.

Family Caregiver Challenges in Pain Management for Patients with Advanced Illnesses: A Systematic Review

Although pain management is integral to the caregiving role, there is a paucity of evidence synthesizing specific challenges family caregivers (FCs) face when managing pain for their care partners. This review comprehensively identified and summarized such challenges in the setting of advanced illnesses. Electronic databases (PubMed, CINAHL, PsycINFO, Scopus, and Health and Psychosocial Instruments) were searched using index and keyword methods for all articles published before April 2021. Fifty-five studies were included in this review. Most articles were published within the last 10 years (54%) in community settings, with home hospice care comprising the majority (50%). Most studies included patients with an advanced cancer diagnosis (84%), and 16% of the studies included patients with a noncancer diagnosis. Four major categories of challenges were identified: (1) caregiver-related issues (e.g., fears, beliefs, function), (2) caregivers' limited knowledge and skills in pain management (e.g., verbal and nonverbal pain assessment skills, pharmacological knowledge, documentation, safe management of medication), (3) communication challenges with health care providers, and (4) patient-related issues (e.g., inability to report pain). Many of these challenges have not been fully addressed in prior literature. Thus, this review provides a framework for needed future research to develop interventions that target FCs' specific challenges in providing pain management. The results also highlight a significant lack of research surrounding challenges faced by caregivers of care partners having a noncancer, dementia, or multimorbidity diagnosis.

Bayesian Network Analysis for Prediction of Unplanned Hospital Readmissions of Cancer Patients with Breakthrough Cancer Pain and Complex Care Needs

Background: Unplanned hospital readmissions (HRAs) are very common in cancer patients. These events can potentially impair the patients’ health-related quality of life and increase cancer care costs. In this study, data-driven prediction models were developed for identifying patients at a higher risk for HRA. Methods: A large dataset on cancer pain and additional data from clinical registries were used for conducting a Bayesian network analysis. A cohort of gastrointestinal cancer patients was selected. Logical and clinical relationships were a priori established to define and associate the considered variables including cancer type, body mass index (BMI), bone metastasis, serum albumin, nutritional support, breakthrough cancer pain (BTcP), and radiotherapy. Results: The best model (Bayesian Information Criterion) demonstrated that, in the investigated setting, unplanned HRAs are directly related to nutritional support (p = 0.05) and radiotherapy. On the contrary, BTcP did not significantly affect HRAs. Nevertheless, the correlation between variables showed that when BMI ≥ 25 kg/m², the spontaneous BTcP is more predictive for HRAs. Conclusions: Whilst not without limitations, a Bayesian model, combined with a careful selection of clinical variables, can represent a valid strategy for predicting unexpected HRA events in cancer patients. These findings could be useful for calibrating care interventions and implementing processes of resource allocation.

Effect of a Symptom Monitoring Intervention for Patients Hospitalized With Advanced Cancer: A Randomized Clinical Trial

IMPORTANCE

Symptom monitoring interventions are increasingly becoming the standard of care in oncology, but studies assessing these interventions in the hospital setting are lacking.

OBJECTIVE

To evaluate the effect of a symptom monitoring intervention on symptom burden and health care use among hospitalized patients with advanced cancer.

DESIGN, SETTING, AND PARTICIPANTS

This nonblinded randomized clinical trial conducted from February 12, 2018, to October 30, 2019, assessed 321 hospitalized adult patients with advanced cancer and admitted to the inpatient oncology services of an academic hospital. Data obtained through November 13, 2020, were included in analyses, and all analyses assessed the intent-to-treat population.

INTERVENTIONS

Patients in both the intervention and usual care groups reported their symptoms using the Edmonton Symptom Assessment System (ESAS) and the 4-item Patient Health Questionnaire-4 (PHQ-4) daily via tablet computers. Patients assigned to the intervention had their symptom reports displayed during daily oncology rounds, with alerts for moderate, severe, or worsening symptoms. Patients assigned to usual care did not have their symptom reports displayed to their clinical teams.

MAIN OUTCOMES AND MEASURES

The primary outcome was the proportion of days with improved symptoms, and the secondary outcomes were hospital length of stay and readmission rates. Linear regression was used to evaluate differences in hospital length of stay. Competing-risk regression (with death treated as a competing event) was used to compare differences in time to first unplanned readmission within 30 days.

RESULTS

From February 12, 2018, to October 30, 2019, 390 patients (76.2% enrollment rate) were randomized. Study analyses to assess change in symptom burden included 321 of 390 patients (82.3%) who had 2 or more days of symptom reports completed (usual care, 161 of 193; intervention, 160 of 197). Participants had a mean (SD) age of 63.6 (12.8) years and were mostly male (180; 56.1%), self-reported as White (291; 90.7%), and married (230; 71.7%). The most common cancer type was gastrointestinal (118 patients; 36.8%), followed by lung (60 patients; 18.7%), genitourinary (39 patients; 12.1%), and breast (29 patients; 9.0%). No significant differences were detected between the intervention and usual care for the proportion of days with improved ESAS-physical (unstandardized coefficient [B] = -0.02; 95% CI, -0.10 to 0.05; P = .56), ESAS-total (B = -0.05; 95% CI, -0.12 to 0.02; P = .17), PHQ-4-depression (B = -0.02; 95% CI, -0.08 to 0.04; P = .55), and PHQ-4-anxiety (B = -0.04; 95% CI, -0.10 to 0.03; P = .29) symptoms. Intervention patients also did not differ significantly from patients receiving usual care for the secondary end points of hospital length of stay (7.59 vs 7.47 days; B = 0.13; 95% CI, -1.04 to 1.29; P = .83) and 30-day readmission rates (26.5% vs 33.8%; hazard ratio, 0.73; 95% CI, 0.48-1.09; P = .12).

CONCLUSIONS AND RELEVANCE

This randomized clinical trial found that for hospitalized patients with advanced cancer, the assessed symptom monitoring intervention did not have a significant effect on patients' symptom burden or health care use. These findings do not support the routine integration of this type of symptom monitoring intervention for hospitalized patients with advanced cancer.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03396510.

Identifying Patients in Need of Goals of Care Conversations: Reliability, Acceptability, and Prognostic Significance of the Preference-Aligned Communication and Treatment Conversation Trigger Tool for Patients with Cancer

Background: Simple methods to help teams identify patients with goals of care (GOC) conversation needs are lacking. Objectives: To develop a tool to identify hospitalized patients who may benefit from GOC conversations. Methods: The Preference-Aligned Communication and Treatment (PACT) Conversation Trigger Tool was implemented as part of a quality improvement initiative in 10 Illinois hospitals and validated in a cohort of patients admitted to the coordinating site's oncology unit (n = 135). Results: The tool was reliable and acceptable to clinicians using it across sites. Thirty percent (n = 40) of patients screened at the coordinating site's oncology unit triggered positive. These patients were more likely to have a do-not-resuscitate order (43% vs. 11%) and palliative care consult (53% vs. 20%) and had lower mean survival time (125 vs. 248 days) than those who did not trigger (p < 0.001). Conclusions: The tool is reliable, acceptable, and can identify hospitalized oncology patients who may benefit from GOC conversations.

Quality of End-of-Life Cancer Care in Canada: A 12-Year Retrospective Analysis of Three Provinces' Administrative Health Care Data Evaluating Changes over Time

This retrospective cohort study of cancer decedents during 2004-2015 examined end-of-life cancer care quality indicators (QIs) in the provinces of British Columbia (BC), Ontario, and Nova Scotia (NS). These included: emergency department use, in-patient hospitalization, intensive care unit admissions, physician house calls, home care visits, and death experienced in hospital. Ontario saw the greatest 12-year decrease in in-hospital deaths from 52.8% to 41.1%. Hospitalization rates within 30 days of death decreased in Ontario, increased in NS, and remained the same in BC. Ontario's usage of aggressive end-of-life measures changed very little, while BC increased their utilization rates. Supportive care use increased in both NS and Ontario. Those who were male or living in a lower income/smaller community (in Ontario) were associated with a decreased likelihood of receiving supportive care. Despite the shift in focus to providing hospice and home care services, approximately 50% of oncology patients are still dying in hospital and 11.7% of patients overall are subject to aggressive care measures that may be out of line with their desire for comfort care. Supportive care use is increasing, but providers must ensure that Canadians are connected to palliative services, as its utilization improves a wide variety of outcomes.

Evaluation of quality indicators near death in older adult cancer decedents in Japan: A nationwide retrospective cohort study

OBJECTIVES

End-of-life cancer care is important; however, data on hospitalization and costs for older patients have been lacking. We aimed to examine quality indicators and costs for older patients in Japan.

METHODS

Using the Diagnosis Procedure Combination database, a national database of acute-care hospitals in Japan, we retrospectively collected data on cancer decedents aged ≥65 years. We evaluated the quality indicators (hospitalizations, length of stay in the hospital, emergency hospitalizations, emergency hospitalizations using an ambulance, intensive care unit [ICU] admissions, length of stay in the ICU, interval between last chemotherapy use and death, and chemotherapy within 14 days before death) and hospitalization costs at 30, 90 and 180 days before death. We compared the outcomes across age groups (65-74, 75-84 and ≥ 85 years).

RESULTS

Between January 2011 and March 2015, we identified 369 616 cancer decedents. From 180 to 30 days before death, there were increases in emergency hospitalizations, emergency hospitalizations using an ambulance, and the mean costs per hospital day. Overall, 16.7% of patients receiving chemotherapy last received this treatment on the day before death or the day of death. Costs decreased with increasing age. The group aged ≥85 years had the shortest hospital and ICU stays and the lowest multiple hospitalizations, ICU admissions, chemotherapy within 14 days before death, and costs.

CONCLUSIONS

Many older adult patients had emergency hospitalizations and received chemotherapy just prior to death, and there is room for improvement in appropriate end-of-life care. Oldest old patients consumed relatively few medical resources.

Comparing the effect of a consult model versus an integrated palliative care and medical oncology co-rounding model on health care utilization in an acute hospital - an open-label stepped-wedge cluster-randomized trial

BACKGROUND

The benefit of specialist palliative care for cancer inpatients is established, but the best method to deliver specialist palliative care is unknown.

AIM

To compare a consult model versus a co-rounding model; both provide the same content of specialist palliative care to individual patients but differ in the level of integration between palliative care and oncology clinicians.

DESIGN

An open-label, cluster-randomized trial with stepped-wedge design. The primary outcome was hospital length of stay; secondary outcomes were 30-day readmissions and access to specialist palliative care. ClinicalTrials.gov number NCT03330509.

SETTING/PARTICIPANTS

Cancer patients admitted to the oncology inpatient service of an acute hospital in Singapore.

RESULTS

A total of 5681 admissions from December 2017 to July 2019 were included, of which 5295 involved stage 3-4 cancer and 1221 received specialist palliative care review. Admissions in the co-rounding model had a shorter hospital length of stay than those in the consult model by 0.70 days (95%CI -0.04 to 1.45, p = 0.065) for all admissions. In the sub-group of stage 3-4 cancer patients, the length of stay was 0.85 days shorter (95%CI 0.05-1.65, p = 0.038). In the sub-group of admissions that received specialist palliative care review, the length of stay was 2.62 days shorter (95%CI 0.63-4.61, p = 0.010). Hospital readmission within 30 days (OR1.03, 95%CI 0.79-1.35, p = 0.822) and access to specialist palliative care (OR1.19, 95%CI 0.90-1.58, p = 0.215) were similar between the consult and co-rounding models.

CONCLUSIONS

The co-rounding model was associated with a shorter hospital length of stay. Readmissions within 30 days and access to specialist palliative care were similar.

Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings

Thirty-day unplanned readmission is one of the key components in measuring quality in patient care. Risk of readmission in oncology patients may be associated with a wide variety of specific factors including laboratory results and diagnoses, and it is hard to include all such features using traditional approaches such as one-hot encoding in predictive models.

Functional Impairment, Symptom Burden, and Clinical Outcomes Among Hospitalized Patients With Advanced Cancer

BACKGROUND

National guidelines recommend regular measurement of functional status among patients with cancer, particularly those who are elderly or high-risk, but little is known about how functional status relates to clinical outcomes among hospitalized patients with advanced cancer. The goal of this study was to investigate how functional impairment is associated with symptom burden and healthcare utilization and clinical outcomes.

PATIENTS AND METHODS

We conducted a prospective observational study of patients with advanced cancer with unplanned hospitalizations at Massachusetts General Hospital from September 2014 through March 2016. Upon admission, nurses assessed patients' activities of daily living (ADLs; mobility, feeding, bathing, dressing, and grooming). Patients with any ADL impairment on admission were classified as having functional impairment. We used the revised Edmonton Symptom Assessment System (ESAS-r) and Patient Health Questionnaire-4 to assess physical and psychological symptoms, respectively. Multivariable regression models were used to assess the relationships between functional impairment, hospital length of stay, and survival.

RESULTS

Among 971 patients, 390 (40.2%) had functional impairment. Those with functional impairment were older (mean age, 67.18 vs 60.81 years; P<.001) and had a higher physical symptom burden (mean ESAS physical score, 35.29 vs 30.85; P<.001) compared with those with no functional impairment. They were also more likely to report moderate-to-severe pain (74.9% vs 63.1%; P<.001) and symptoms of depression (38.3% vs 23.6%; P<.001) and anxiety (35.9% vs 22.4%; P<.001). Functional impairment was associated with longer hospital length of stay (β = 1.29; P<.001) and worse survival (hazard ratio, 1.73; P<.001).

CONCLUSIONS

Hospitalized patients with advanced cancer who had functional impairment experienced a significantly higher symptom burden and worse clinical outcomes compared with those without functional impairment. These findings provide evidence supporting the routine assessment of functional status on hospital admission and using this to inform discharge planning, discussions about prognosis, and the development of interventions addressing patients' symptoms and physical function.

Screening Patients With Cancer Admitted to Hanoi Medical University Hospital for Palliative Care Needs

PURPOSE

To evaluate a screening tool for identifying which patients admitted to the oncology ward of a Vietnamese hospital should be referred to specialist palliative care (PC).

METHODS

We performed a cross-sectional survey of consecutive patients hospitalized in the Department of Oncology and Palliative Care at Hanoi Medical University Hospital between June 2019 and September 2019. We translated a validated 11-item screening tool into Vietnamese and used a total score of ≥ 5 as a positive screen.

RESULTS

One hundred participants were recruited. Forty-four patients (44%) screened positive. Of these, 37 (84%) had locally advanced or metastatic disease, 31 (70%) had uncontrolled symptoms, and 43 (98%) requested a PC consultation. A score ≥ 5 was significantly more common in patients with stage IV disease versus earlier stage, performance status of Eastern Cooperative Oncology Group (ECOG) 2 versus ECOG 0, and when life-limiting complications of cancer were present. Screening identified four patients overlooked by oncologists as needing referral, and 34% of patients requesting a referral had scores < 5.

CONCLUSION

This screening tool provided oncologists with easy-to-use criteria for referring patients for PC. At the same time, it relieved the work load for under-resourced PC physicians by screening out requests with low-level need. This tool should be part of routine assessment on admission in all oncology units in Vietnam.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Mortality Risk for Patients With Stage IV Cancer and Acute Illness Hospitalization

CONTEXT

Cancer prognosis data often come from clinical trials which exclude patients with acute illness.

OBJECTIVES

For patients with Stage IV cancer and acute illness hospitalization to 1) describe predictors of 60-day mortality and 2) compare documented decision-making for survivors and decedents.

METHODS

Investigators studied a consecutive prospective cohort of patients with Stage IV cancer and acute illness hospitalization. Structured health record and obituary reviews provided data on 60-day mortality (outcome), demographics, health status, and treatment; logistic regression models identified mortality predictors.

RESULTS

Four hundred ninety-two patients with Stage IV cancer and acute illness hospitalization had median age of 60.2 (51% female, 38% minority race/ethnicity); 156 (32%) died within 60 days, and median survival for decedents was 28 days. Nutritional insufficiency (odds rato [OR] 1.83), serum albumin (OR 2.15 per 1.0 g/dL), and hospital days (OR 1.04) were associated with mortality; age, gender, race, cancer, and acute illness type were not predictive. On admission, 79% of patients had orders indicating Full Code. During 60-day follow-up, 42% of patients discussed goals of care. Documented goals of care discussions were more common for decedents than survivors (70% vs. 28%, P < 0.001), as were orders for do not resuscitate/do not intubate (68% vs. 24%, P < 0.001), stopping cancer-directed therapy (29% vs. 10%, P < 0.001), specialty Palliative Care (79% vs. 44%, P < 0.001), and Hospice (68% vs. 14%, P < 0.001).

CONCLUSION

Acute illness hospitalization is a sentinel event in Stage IV cancer. Short-term mortality is high; nutritional decline increases risk. For patients with Stage IV cancer, acute illness hospitalization should trigger goals of care discussions.

The Role of Nutritional Support for Cancer Patients in Palliative Care

The role of nutritional support for cancer patients in palliative care is still a controversial topic, in part because there is no consensus on the definition of a palliative care patient because of ambiguity in the common medical use of the adjective palliative. Nonetheless, guidelines recommend assessing nutritional deficiencies in all such patients because, regardless of whether they are still on anticancer treatments or not, malnutrition leads to low performance status, impaired quality of life (QoL), unplanned hospitalizations, and reduced survival. Because nutritional interventions tailored to individual needs may be beneficial, guidelines recommend that if oral food intake remains inadequate despite counseling and oral nutritional supplements, home enteral nutrition or, if this is not sufficient or feasible, home parenteral nutrition (supplemental or total) should be considered in suitable patients. The purpose of this narrative review is to identify in these cancer patients the area of overlapping between the two therapeutic approaches consisting of nutritional support and palliative care in light of the variables that determine its identification (guidelines, evidence, ethics, and law). However, nutritional support for cancer patients in palliative care may be more likely to contribute to improving their QoL when part of a comprehensive early palliative care approach.

A Palliative Care Intervention for Patients on Phase 1 Studies

Background: Phase 1 clinical trials remain vital for oncology care. Patients on these trials require supportive care for quality-of-life (QOL) concerns. Objective: To test a Palliative Care Intervention (PCI) for patients with solid tumors enrolled in Phase I therapeutic trials with a priori hypothesis that psychological distress, QOL, satisfaction, symptoms, and resource utilization would be improved in the PCI group. Design: This unblinded randomized trial compared the PCI with usual care in patients accrued to Phase I Clinical Trials. Subjects (n = 479) were followed for 24 weeks, with 12 weeks as the primary outcome. Setting: Two Comprehensive Cancer Centers in the United States. Subjects: A consecutive sample, 21 years or older, English fluency, with solid tumors initiating a Phase 1 trial. Measurements: Psychological Distress (Distress Thermometer), QOL total and subscales (FACT-G), satisfaction (FAM-CARE), survival, and resource utilization (chart audit). Results: PCI subjects showed improved Psychological Distress (-0.47, p = 0.015) and Emotional Well-Being (0.81, p = 0.045), with differences on variables of QOL and distress between sites. High rates of symptom-management admissions (41.3%) and low rates of Advance Directive completion (39.0%), and hospice enrollment (30.7%), despite a median survival in both groups of 10.1 months from initiating a Phase 1 study. Conclusions: A nurse-delivered PCI can improve some QOL outcomes and distress for patients participating in Phase 1 trials. Greater integration of PC is needed to provide quality care to these patients and to support transitions from treatment to supportive care, especially at the end of life. ClinicalTrials.gov Identifier: NCT01612598.

The hospital care of patients with cancer: a retrospective analysis of the characteristics of their hospital stay in comparison with other medical conditions

PURPOSE

Hospital admission is a frequent occurrence among patients with cancer, and a significant proportion of patients admitted to medical units have cancer. Their hospital stay has features that may be different compared with patients without cancer. We performed a retrospective analysis of the characteristics of patients with cancer admitted for medical conditions.

PATIENTS AND METHODS

We studied the administrative data of patients with solid cancer admitted to the medical department of a large referral hospital over a 12-month period and compared them with those of patients without cancer.

RESULTS

Seven thousand eight hundred two consecutive admissions were analysed, of which 1099 (14.1%) had a principal or associated diagnosis of cancer. Admissions were distributed across 12 units, with 44% concentrated in the medical oncology unit and 56% in other units. Patients with cancer were more frequently men and were younger than patients without cancer. Admission less frequently involved the emergency department (ED), while discharge was more frequently assisted. The in-hospital death rate was higher, as was the readmission rate. Length of stay was longer (11.3 days vs. 9.8 days; p < 0.0001). Patients with cancer admitted to the medical oncology unit used the ED even less, and their length of stay was shorter than that of patients with cancer admitted in other units.

CONCLUSIONS

The in-hospital pathway of patients with cancer displays specific issues and adds complexity to hospital stay of patients with medical conditions. The medical oncology unit plays a role in reducing ED use and in providing efficient care. The evidence gathered should help in shaping new models of care and in improving adequate clinical competencies.

Interventions to Support Family Caregivers in Pain Management: A Systematic Review

CONTEXT

Family caregivers encounter many challenges when managing pain for their loved ones. There is a lack of clear recommendations on how to prepare caregivers in pain management.

OBJECTIVES

To evaluate existing interventions that support family caregivers in providing pain management to patients with all disease types.

METHODS

Four electronic databases were systematically searched (PubMed, Cumulative Index for Nursing Allied Health Literature, PsycINFO, and Scopus) using index and keyword methods for articles published before December 2019. The Mixed Methods Appraisal Tool was used to assess the quality.

RESULTS

The search identified 6851 studies, and 25 studies met the inclusion criteria. Only two studies exclusively focused on noncancer populations (8%). Three types of interventions were identified in this review: educational interventions, cognitive-behavioral interventions, and technology-based interventions. Both educational and cognitive-behavioral interventions improved family caregiver and patient outcomes, but the content and intensity of these interventions in these studies varied widely, and there was a limited number of randomized clinical trials (68%). Hence, it is unclear what strategies are most effective to prepare family caregivers in pain management. Technology-based interventions were feasible to support family caregivers in providing pain management.

CONCLUSION

Providing adequate pain management training can improve patient and family caregiver outcomes. However, the most effective interventions for family caregivers are still unclear. More rigorous and replicable clinical trials are needed to examine the effects of educational interventions, cognitive-behavioral interventions, and technology-based interventions. Also, more studies are needed in patients with a noncancer diagnosis or multimorbidity.

Twelve tips for teaching oncology to non-oncologists

Background: Teaching subspecialty care to trainees who are not pursuing that subspecialty poses many challenges. These challenges are amplified in the teaching of oncology to non-oncologists because there are more new therapies emerging in oncology than in any other discipline, and there are few oncologic issues managed by generalists without consultation. Concurrently, there is an increasing need for generalists to manage many aspects of care for patients with cancer.Aim: To provide 12 tips for oncologists to use to educate trainees on their oncology rotations.Method: The tips provided are based upon the available literature and the authors' own experience.Results: The 12 tips presented offer specific strategies for oncologists to enhance their teaching by selection of appropriate content and enhancing delivery. Focus is placed on aspects of oncology that trainees are likely to encounter as a generalist or non-cancer subspecialist. While oncology is used as the case study, these strategies are adaptable to any subspecialty area.Conclusion: Oncologists and other subspecialists can be core medical educators.

End-of-life care for Aboriginal and Torres Strait Islander people with cancer: an exploratory study of service utilisation and unmet supportive care needs

BACKGROUND

Indigenous Australians diagnosed with cancer have substantially higher cancer mortality rates compared with non-Indigenous Australians, yet there is a paucity of information about their end-of-life service utilisation and supportive care needs.

PURPOSE

To describe the service utilisation and supportive care needs of Aboriginal and Torres Strait Islander people with cancer at end-of-life.

METHOD

Hospital admission data were linked to self-reported data from a study of Indigenous cancer patients from Queensland, Australia during the last year of their life. Needs were assessed by the Supportive Care Needs Assessment Tool for Indigenous Cancer Patients which measures 26 need items across 4 domains (physical/psychological; hospital care; information/communication; practical/cultural). A descriptive analysis of health service utilisation and unmet needs was conducted.

RESULTS

In total, 58 Indigenous cancer patients were included in this analysis. All patients had at least one hospital admission within the last year of their life. Most hospital admissions occurred through emergency (38%) and outpatient (31%) departments and were for acute care (85%). Palliative care represented 14% of admissions and 78% died in hospital. Approximately half (48%) did not report any unmet needs. The most frequently reported moderate-to-high unmet need items were worry about the treatment results (17%), money worries (16%) and anxiety (16%).

CONCLUSIONS

Utilisation of palliative care services that manage a full range of physical and psychosocial needs was low. Addressing worries about treatment results, finances and generalised anxiety are priorities in this population.

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.

Regional variation in hospital care at the end-of-life of Dutch patients with lung cancer exists and is not correlated with primary and long-term care

OBJECTIVE

To examine the regional variation in hospital care utilization in the last 6 months of life of Dutch patients with lung cancer and to test whether higher degrees of hospital utilization coincide with less general practitioner (GP) and long-term care use.

DESIGN

Cross-sectional claims data study.

SETTING

The Netherlands.

PARTICIPANTS

Patients deceased in 2013-2015 with lung cancer (N = 25 553).

MAIN OUTCOME MEASURES

We calculated regional medical practice variation scores, adjusted for age, gender and socioeconomic status, for radiotherapy, chemotherapy, CT-scans, emergency room contacts and hospital admission days during the last 6 months of life; Spearman Rank correlation coefficients measured the association between the adjusted regional medical practice variation scores for hospital admissions and ER contacts and GP and long-term care utilization.

RESULTS

The utilization of hospital services in high-using regions is 2.3-3.6 times higher than in low-using regions. The variation was highest in 2015 and lowest in 2013. For all 3 years, hospital care was not significantly correlated with out-of-hospital care at a regional level.

CONCLUSIONS

Hospital care utilization during the last 6 months of life of patients with lung cancer shows regional medical practice variation over the course of multiple years and seems to increase. Higher healthcare utilization in hospitals does not seem to be associated with less intensive GP and long-term care. In-depth research is needed to explore the causes of the variation and its relation to quality of care provided at the level of daily practice.

Venous Thromboembolism in Cancer Patients on Simultaneous and Palliative Care

Simultaneous care represents the ideal integration between early supportive and palliative care in cancer patients under active antineoplastic treatment. Cancer patients require a composite clinical, social and psychological management that can be effective only if care continuity from hospital to home is guaranteed and if such a care takes place early in the course of the disease, combining standard oncology care and palliative care. In these settings, venous thromboembolism (VTE) represents a difficult medical challenge, for the requirement of acute treatments and for the strong impact on anticancer therapies that might be delayed or, even, totally discontinued. Moreover, cancer patients not only display high rates of VTE occurrence/recurrence but are also more prone to bleeding and this forces clinicians to optimize treatment strategies, balancing between hemorrhages and thrombus formation. VTE prevention is, therefore, regarded as a double-edged sword. Indeed, while on one hand the appropriate use of antithrombotic agents can reduce VTE occurrence, on the other it significantly increases the bleeding risk, especially in the frail patients who present with multiple co-morbidities and poly-therapy that can interact with anticoagulant drugs. For these reasons, thromboprophylaxis should start while active cancer treatment is ongoing, according to a simultaneous care model in a patient-centered perspective.

Predictors of hospital readmission among older adults with cancer

OBJECTIVE

Older adults with cancer are at higher risk for costly and potentially dangerous hospital readmissions. Identifying risk factors for readmission in this population is important for future prevention of readmission.

MATERIALS AND METHODS

Hospital discharges among patients ≥ 65 years with solid tumors on non-surgical services from 2006-2011 were reviewed in this matched case-control study. We abstracted patient/cancer characteristics; functional status; fall risk; chemotherapy line; comorbidities; laboratory values; discharge parameters; and miscellaneous information (Do Not Resuscitate Order, pain scores) from medical records. Conditional logistic regression was used for univariate and multivariable analysis.

RESULTS

This analysis included 184 case-patients readmitted within 30 days after discharge from the index admission and 184 sex- and age-matched control-patients discharged from index admission within three months of the cases with no readmission. Cases and controls had no differences in terms of primary cancer type, treatment, and index admission reason. Cases were more likely to have abnormal hemoglobin, albumin, sodium, and SGOT on discharge. Compared to those with ≤1 abnormal laboratory test, patients with 2 or more abnormal test results were 3 times more likely to be readmitted within 30 days.

CONCLUSION

This study demonstrated that older adults with cancer who had at least 2 abnormal laboratory results (hemoglobin, albumin, sodium, and SGOT) at discharge were 3 times more likely to be readmitted within 30 days compared to those with ≤1 abnormal results. These laboratory values may be predictive of the risk of readmission, and should be monitored before discharge to potentially prevent readmission.

Identification of a potentially avoidable cardiopulmonary resuscitation in hematology and oncology wards

Background

In-hospital cardiopulmonary resuscitation (CPR) is one of undesirable situations. We tried to identify and characterize a potentially avoidable CPR in cancer patients who were hospitalized in hematology and oncology wards.

Methods

A potentially avoidable CPR was determined based on chemotherapy setting, disease status and clinical situation at the time when a cardiopulmonary arrest occurred, by using a consensus-driven medical records review of two physicians.

Results

One hundred thirty-seven patients among 12,437 patients hospitalized at hematology and oncology wards between March 2003 and June 2015 (1.1%) underwent a CPR. Eighty-eight patients (64.2%) were men. The majority of patients with a CPR had lung cancer (41, 29.9%), hematologic malignancy (24, 17.5%), stomach cancer (23, 16.8%) or lymphoma (20, 14.6%). A potentially avoidable CPR was identified in 51 patients (37.2%). In a multivariate analysis, advanced diseases and certain tumor types (e.g., lung cancer, lymphoma) were significant risk factors for a potentially avoidable CPR. Of patients who received a potentially avoidable CPR, 29 patients (56.9%) did not have a do-not-resuscitate documentation. A first return of spontaneous circulation rate (ROSC) and in-hospital survival rate (IHSR) were much lower in patients with a potentially avoidable CPR than those with a CPR that was not avoidable (ROSC: 39.2% vs 53.5%, P = 0.106; IHSR: 2.0% vs 12.8%, P = 0.032, respectively).

Conclusions

A potentially avoidable CPR was common at hematology and oncology wards. A potentially avoidable CPR frequently occurred in advanced diseases and certain tumor types. Furthermore, cancer patients who received a potentially avoidable CPR showed the worse prognosis.

Association Between the Timing of Goals-of-Care Discussion and Hospitalization Outcomes in Patients With Metastatic Cancer

BACKGROUND

Patients with cancer often require acute hospitalizations, many of which are unplanned. These hospitalizations have been shown to increase in frequency near the end of life. The American College of Physicians recommends that goals-of-care (GOC) discussions be initiated early for metastatic cancers. We hypothesized that discussing GOC during hospitalization could help reduce readmissions. Our aim was to examine the association between the timing of GOC discussion, length of hospital stay, and the time to readmission.

METHODS

We conducted a retrospective review of medical records of patients with stage IV cancers hospitalized between August 2017 and July 2018. We recorded timing of GOC discussion, use of palliative care services, and hospital readmissions within 90 days. χ² tests were used to identify independent associations with GOC discussion, and logistic regression was used to examine association with readmission within 90 days.

RESULTS

Of all study patients (N = 241), 40.6% were female, 46% (n = 112) had a GOC discussion, and 34% (n = 82) had a palliative care consultation. Having a palliative care consult and being admitted to critical care were independently associated with having a GOC discussion. Early timing of GOC discussion was inversely associated with admission to critical care units (P < .05). Thirty-eight percent (n = 92) had unplanned hospital readmission within 90 days. Having a GOC discussion was independently associated with a reduction in the odds of an unplanned hospital readmission within 90 days by 79% (odds ratio = 0.21, 95% confidence interval: 0.12-0.37).

CONCLUSION

Among hospitalized patients with stage IV cancer, performing an early GOC discussion has an important association with lower hospital readmission rates and increased rates of goal-congruent patient care.

Inpatient palliative chemotherapy is associated with high mortality and aggressive end-of-life care in patients with advanced solid tumors and poor performance status

Background

The benefit of palliative chemotherapy (PC) in patients with advanced solid tumors and poor performance status (ECOG-PS) has not been prospectively validated, which makes treatment decision challenging. We aimed to evaluate the overall survival, factors associated with early mortality, and adoption of additional procedures in hospitalized patients with advanced cancer and poor ECOG-PS treated with PC.

Methods

We analyzed a retrospective cohort of patients with advanced cancer treated with PC during hospitalization at an academic cancer center in Brazil from 2014 to 2016. Eligibility criteria included: ECOG-PS 3–4 and start of first-line PC; or ECOG-PS ≥ 2 and start of second or subsequent lines. Primary endpoint was 30-day survival from start of PC. Kaplan-Meier method was used for survival estimates and Cox regression for factors associated with 30-day mortality.

Results

Two hundred twenty-eight patients were eligible. 21.9, 66.7 and 11.4% of patients had ECOG-PS 2, 3 and 4, respectively. 49.6% had gastrointestinal tumors. Median follow-up was 49 days (range 1–507). 98.2% of patients had died, 32% during the index hospitalization. The 30-day and 60-day survival rates were 55.7 and 38.5%, respectively. 30% of patients were admitted to the intensive care unit. In a multivariable analysis, ECOG-PS 3/4 (HR 2.01; P = 0.016), hypercalcemia (HR 2.19; P = 0.005), and elevated bilirubin (HR 3.17; P <  0.001) were significantly associated with 30-day mortality.

Conclusions

Patients with advanced cancer and poor ECOG-PS had short survival after treatment with inpatient PC. Inpatient PC was associated with aggressive end-of-life care. Prognostic markers such as ECOG-PS, hypercalcemia and elevated bilirubin can contribute to the decision-making process for these patients.

Thirty-Day Readmissions in Patients With Metastatic Cancer: Room for Improvement?

Purpose:

Cancer, with readmission rates as high as 27%, has thus far been excluded from most readmission reduction efforts. However, some readmissions for patients with advanced disease may be avoidable. We assessed the prevalence of potentially preventable readmissions and associated factors in patients with metastatic cancer.

Patients and Methods:

Using a merged longitudinal data set of New York State hospital discharges and vital records, we measured 30-day readmissions for anemia, dehydration, diarrhea, emesis, fever, nausea, neutropenia, pain, pneumonia, and sepsis among patients with metastatic cancer between 2012 and 2014. We used competing-risk models to assess the effects of demographics, comorbidities, hospital type, payer, and discharge disposition.

Results:

A total of 11,275 patients had 19,307 hospitalizations. The 30-day readmission rate was 24.5%; 11.9% (n = 565) of readmissions were potentially preventable. Higher readmission rates occurred in black (hazard rate [HR], 1.26; 95% CI, 1.17 to 1.35), Hispanic (HR, 1.19; 95% CI, 1.09 to 1.31), and younger patients (HR per 10 years, 0.94; 95% CI, 0.90 to 0.97). Lower rates were associated with female sex (HR, 0.95; 95% CI, 0.91 to 0.99), private insurance (HR, 0.87; 95% CI, 0.87 to 0.81), teaching hospitals, and hospice discharge (HR, 0.62; 95% CI, 0.42 to 0.91). Discharge home with services (HR, 1.21; 95% CI, 1.14 to 1.27) or to a skilled nursing facility (HR, 1.11; 95% CI, 1.01 to 1.23) increased readmission likelihood. Potentially preventable readmissions were associated with younger age (HR per 10 years, 0.98; 95% CI, 0.98 to 0.99) and discharge home with services (HR, 1.25; 95% CI, 1.04 to 1.50). Likelihood decreased if care was received at a teaching hospital (HR, 0.76; 95% CI, 0.59 to 0.99). Payer, sex, race, and comorbidities did not contribute.

Conclusion:

Although the overall rate of potentially preventable readmissions among patients with metastatic cancer is low, higher readmission rates among those discharged home with help suggest that services supplied may not be sufficient to address health needs.

Prevalence, symptom burden, and natural history of deep vein thrombosis in people with advanced cancer in specialist palliative care units (HIDDen): a prospective longitudinal observational study

BACKGROUND

The prevalence of deep venous thrombosis in patients with advanced cancer is unconfirmed and it is unknown whether current international thromboprophylaxis guidance is applicable to this population. We aimed to determine prevalence and predictors of femoral deep vein thrombosis in patients admitted to specialist palliative care units (SPCUs).

METHODS

We did this prospective longitudinal observational study in five SPCUs in England, Wales, and Northern Ireland (four hospices and one palliative care unit). Consecutive adults with cancer underwent bilateral femoral vein ultrasonography on admission and weekly until death or discharge for a maximum of 3 weeks. Data were collected on performance status, attributable symptoms, and variables known to be associated with venous thromboembolism. Patients with a short estimated prognosis (<5 days) were ineligible. The primary endpoint of the study was the prevalence of femoral deep vein thrombosis within 48 h of SPCU admission, analysed by intention to treat. This study is registered with the ISRCTN registry, number ISRCTN97567719.

FINDINGS

Between June 20, 2016, and Oct 16, 2017, 343 participants were enrolled (mean age 68·2 years [SD 12·8; range 25-102]; 179 [52%] male; mean Australian-modified Karnofsky performance status 49 [SD 16·6; range 20-90]). Of 273 patients with evaluable scans, 92 (34%, 95% CI 28-40) had femoral deep vein thrombosis. Four participants with a scan showing no deep vein thrombosis on admission developed a deep vein thrombosis on repeat scanning over 21 days. Previous venous thromboembolism (p=0·014), being bedbound in the past 12 weeks for any reason (p=0·003), and lower limb oedema (p=0·009) independently predicted deep vein thrombosis. Serum albumin concentration (p=0·43), thromboprophylaxis (p=0·17), and survival (p=0·45) were unrelated to deep vein thrombosis.

INTERPRETATION

About a third of patients with advanced cancer admitted to SPCUs had a femoral deep vein thrombosis. Deep vein thrombosis was not associated with thromboprophylaxis, survival, or symptoms other than leg oedema. These findings are consistent with venous thromboembolism being a manifestation of advanced disease rather than a cause of premature death. Thromboprophylaxis for SPCU inpatients with poor performance status seems to be of little benefit.

FUNDING

National Institute for Health Research (Research for Patient Benefit programme).

Moving family interventions into the real world: What matters to oncology stakeholders?

BACKGROUND

Family interventions targeting patients and/or informal caregivers are beneficial, but few have been integrated in oncology clinical care. Understanding diverse stakeholder perspectives may inform implementation and dissemination efforts.

METHODS

We are currently conducting a randomized controlled trial of CareSTEPS, a telephone-based intervention for caregivers of advanced lung cancer patients. CareSTEPS seeks to improve caregiver and patient self-care behaviors, quality of life, and satisfaction with care. With an eye toward integrating CareSTEPS into clinical care, semi-structured interviews were conducted with 7 experts in integrated care [practice thought leaders] and 26 individuals representing different oncology stakeholder groups (i.e., potential end users of CareSTEPS including counselors, social workers, nurse specialists, and psychologists) [N = 13], decision-makers, including physicians and administrators [N = 6], and key dissemination partners, including representatives from cancer and caregiving advocacy groups [N = 7]). Questions focused on existing caregiver support services, barriers to integrating care for caregivers in routine patient care, and possible models for clinical uptake and dissemination. Interviews were transcribed and analyzed using directed content analysis.

RESULTS

Stakeholders noted a mismatch between caregiver needs and services offered, and expressed interest in broader service offerings. Barriers for integrating caregiver support into clinical care included inadequate funding, lack of interdisciplinary training among providers, and concern that research-based interventions are often not flexible enough to roll out into clinical practice. To secure buy-in, stakeholders noted the importance of evaluating intervention cost, cost savings, and revenue generation. Possible avenues for dissemination, through bottom-up and top-down (e.g., policy change) approaches, were also discussed.

CONCLUSIONS

Findings highlight the importance of evaluating outcomes important to diverse oncology stakeholder groups to speed translation of research into practice. They also suggest that pragmatic trials are needed that allow for flexibility in the delivery of family interventions and that consider the resource limitations of clinical care.

Use of Antidepressant Medications Moderates the Relationship Between Depressive Symptoms and Hospital Length of Stay in Patients with Advanced Cancer

BACKGROUND

Among patients with cancer, depressive symptoms are associated with worse clinical outcomes, including greater health care utilization. As use of antidepressant medications can improve depressive symptoms, we sought to examine relationships among depressive symptoms, antidepressant medications, and hospital length of stay (LOS) in patients with advanced cancer.

MATERIALS AND METHODS

From September 2014 to May 2016, we prospectively enrolled patients with advanced cancer who had an unplanned hospitalization. We performed chart review to obtain information regarding documented depressive symptoms in the 3 months prior to admission and use of antidepressant medications at the time of admission. We compared differences in hospital LOS by presence or absence of depressive symptoms and used adjusted linear regression to examine if antidepressant medications moderated these outcomes.

RESULTS

Of 1,036 patients, 126 (12.2%) had depressive symptoms documented prior to admission, and 288 (27.8%) were taking antidepressant medications at the time of admission. Patients with depressive symptoms experienced longer hospital LOS (7.25 vs. 6.13 days; p = .036). Use of antidepressant medications moderated this relationship; among patients not on antidepressant medications, depressive symptoms were associated with longer hospital LOS (7.88 vs. 6.11 days; p = .025), but among those on antidepressant medications, depressive symptoms were not associated with hospital LOS (6.57 vs. 6.17 days; p = .578).

CONCLUSION

Documented depressive symptoms prior to hospital admission were associated with longer hospital LOS. This effect was restricted to patients not on antidepressant medications. Future studies are needed to investigate if use of antidepressant medications decreases LOS for patients hospitalized with advanced cancer and the mechanisms by which this may occur.

IMPLICATIONS FOR PRACTICE

This study investigated the prevalence of documented depressive symptoms in patients with advanced cancer in the 3 months prior to an unplanned hospitalization and the prevalence of use of antidepressant medications at time of hospital admission. The relationship of these variables with hospital length of stay was also examined, and it was found that documented depressive symptoms were associated with prolonged hospital length of stay. Interestingly, antidepressant medications moderated the relationship between depressive symptoms and hospital length of stay. These findings support the need to recognize and address depressive symptoms among patients with advanced cancer, with potential implications for optimizing health care utilization.

Psychometric evaluation and cultural adaptation of the Spanish version of the "Scale for End-of Life Caregiving Appraisal"

OBJECTIVE

To translate, culturally adapt, and psychometrically evaluate the Spanish version of the "Scale for End-of Life Caregiving Appraisal" (SEOLCAS).

METHOD

Observational cross-sectional study. Convenience sample of 201 informal end-of-life caregivers recruited in a southern Spanish hospital. The reliability of the questionnaire was assessed through its internal consistency (Cronbach's α) and temporal stability (Pearson's correlation coefficient [r] between test-retest). The content validity index of the items and the scale was calculated. Criterion validity was explored through performing a linear regression analysis to evaluate the SEOLCAS' predictive validity. Exploratory factor analysis was used to examine its construct validity.

RESULTS

The SEOLCAS' reliability was very high (Cronbach's α = 0.92). Its content validity was excellent (all items' content validity index = 0.8-1; scale's validity index = 0.88). Evidence of the SEOLCAS' criterion validity showed that the participants' scores on the SEOLCAS explained approximately 79.3% of the between-subject variation of their results on the Zarit Burden Interview. Exploratory factor analysis provided evidence of the SEOLCAS' construct validity. This analysis revealed that two factors ("internal contingencies" and "external contingencies") explained 53.77% of the total variance found and reflected the stoic Hispanic attitude toward adversity.Significance of resultsThe Spanish version of the SEOLCAS has shown to be an easily applicable, valid, reliable, and culturally appropriate tool to measure the impact of end-of-life care provision on Hispanic informal caregivers. This tool offers healthcare professionals the opportunity to easily explore Hispanic informal end-of-life caregivers' experiences and discover the type of support they may need (instrumental or emotional) even when there are communicational and organizational constraints.

Usefulness of the Surprise Question on an Inpatient Oncology Service

BACKGROUND

Prognostication of survival in patients with advanced cancer has been challenging and contributes to poor illness understanding. Prognostic disagreement occurs even among providers and is a less studied phenomenon.

OBJECTIVE

We introduced the surprise question (SQ), "Would I be surprised if this patient died in the next 1 year, 6 months, and 1 month?," at multidisciplinary rounds to increase palliative care referrals through the introduction of this prognostic prompt.

DESIGN, SETTING, PATIENTS

This quality improvement project took place from March 2016 to May 2016 on the medical oncology service at a tertiary academic medical center. The question was asked 3 times a week at multidisciplinary rounds which are attended by the hospital medicine provider, palliative care provider, and consulting oncologist. Primary oncologists and bedside nurses were also asked the SQ.

MEASUREMENTS

Referral rates to outpatient palliative care clinic, community-based palliative care clinic, inpatient palliative care consults, and hospice 3 months prior to, during, and 5 months postintervention.

RESULTS

Regular discussion of prognosis of patients with cancer in an inpatient medical setting did not increase referrals to inpatient or outpatient palliative care or hospice. Increased clinical experience impacted hospital medicine providers and bedside nurses' estimation of prognosis differently than oncology providers. Medical oncologists were significantly more optimistic than hospital medicine providers.

Interprofessional Rounds Improve Timing of Appropriate Palliative Care Consultation on a Hospitalist Service

Despite known benefits, palliative care (PC) consultation for hospitalized patients remains underutilized. The objective was to improve frequency and timeliness of appropriate inpatient PC consultation. On 2 of 11 hospitalist teams, a PC representative attended discharge rounds twice a week. Control teams' discharge rounds were unenhanced. Subjects were all patients admitted to a hospitalist service in a quaternary academic medical center. The primary outcome was change in provision of PC consultation over time; the secondary outcome was change in time-to-consult (days). Hospitalists were surveyed regarding the intervention. The unadjusted proportion of patients receiving PC consultation increased from 2.7% to 5.2% on the intervention teams. Compared to control teams over time and adjusting for multiple covariates, the intervention increased PC consultation (difference-in-difference [DID] = 1.0 percentage-point increase [95% CI = 0.3%-1.8%]) and decreased time to consult (DID = -5 days [95% CI = -11 to -1]) in patients admitted for noncancer diagnoses. Hospitalists thought the intervention facilitated effective patient care without increased burden.

Early Palliative Care for Patients With Brain Metastases Decreases Inpatient Admissions and Need for Imaging Studies

Background:

Early encounters with palliative care (PC) can influence health-care utilization, clinical outcome, and cost.

Aim:

To study the effect of timing of PC encounters on brain metastasis patients at an academic medical center.

Setting/Participants:

All patients diagnosed with brain metastases from January 2013 to August 2015 at a single institution with inpatient and/or outpatient PC records available for review (N = 145).

Design:

Early PC was defined as having a PC encounter within 8 weeks of diagnosis with brain metastases; late PC was defined as having PC after 8 weeks of diagnosis. Propensity score matched cohorts of early (n = 46) and late (n = 46) PC patients were compared to control for differences in age, gender, and Karnofsky Performance Status (KPS) at diagnosis. Details of the palliative encounter, patient outcomes, and health-care utilization were collected.

Results:

Early PC versus late PC patients had no differences in baseline KPS, age, or gender. Early PC patients had significantly fewer number of inpatient visits per patient (1.5 vs 2.9; P = .004), emergency department visits (1.2 vs 2.1; P = .006), positron emission tomography/computed tomography studies (1.2 vs 2.7, P = .005), magnetic resonance imaging scans (5.8 vs 8.1; P = .03), and radiosurgery procedures (0.6 vs 1.3; P < .001). There were no differences in overall survival (median 8.2 vs 11.2 months; P = .2). Following inpatient admissions, early PC patients were more likely to be discharged home (59% vs 35%; P = .04).

Conclusions:

Timely PC consultations are advisable in this patient population and can reduce health-care utilization.

In-Hospital Palliative Care: Should We Need to Reconsider What Role Hospitals Should Have in Patients with End-Stage Disease or Advanced Cancer?

Traditionally, palliative care (PC) systems focused on the needs of advanced cancer patients, but most patients needing PC have end-stage organ diseases. Similarly, PC models focus on the needs of patients in hospices or at home; however, in most cases PC is provided in acute hospitals. Indeed, the symptom burden that these patients experience in the last year of life frequently forces them to seek care in emergency departments. The majority of them are admitted to the hospital and many die. This issue poses important concerns. Despite the efforts of attending healthcare professionals, in-hospital patients do not receive optimal care near the end-of-life. Also, evidence is emerging that delay in identifying patients needing PC have a detrimental impact on their quality of life (QoL). Therefore, there is an urgent need to identify, early and properly, these patients among those hospitalized. Several trials reported the efficacy of PC in improving the QoL in these patients. Each hospital should ensure that a multidisciplinary PC team is available to support attending physicians to achieve the best QoL for both PC patients and their families. This review discusses the role and the impact of in-hospital PC in patients with end-stage disease or advanced cancer.

A Population-Based Assessment of Emergency Department Observation Status for Older Adults With Cancer

Background: Hospitals' use of observation status for patients with cancer presenting to the emergency department (ED) is not well understood. This model of care delivery may be a viable alternative to inpatient admission for patients with cancer presenting with certain conditions. Our objective was to assess the use of observation status among Medicare beneficiaries with and without cancer. Methods: Population-based SEER-Medicare data were used to assess differences in the use of observation status between Medicare beneficiaries aged ≥66 years with and without cancer using a matched analysis (n=151,183 per cohort). We assessed the ratio of observation unit use to inpatient admission, between cancer and noncancer cohorts, and for patients diagnosed with breast, colon, lung, and prostate cancers. Poisson regression models were used to calculate observation rate estimates and 95% CIs while adjusting for selected patient characteristics. Results: When considering the volume of hospitalizations, observation status is used less frequently among beneficiaries with cancer than those without (43 vs 69 observation status visits per 1,000 inpatient admissions, respectively). The estimated observation rate per 1,000 inpatient admissions was higher for beneficiaries aged <75 years versus those aged ≥75 years, those with a Charlson comorbidity index of 0 vs 1 or ≥2, and those without a prior hospitalization versus those with ≥1 prior hospitalizations. Patients with breast and prostate cancers had higher adjusted and unadjusted observation rates per 1,000 inpatient admissions compared with those with colon and lung cancers. Conclusions: Observation status is used proportionately less for beneficiaries with cancer than those without. There may be opportunities to develop standards for ED staff to manage certain conditions for patients with cancer in observation status, and to reserve hospital resources for those who need it most.

No Exit: Identifying Avoidable Terminal Oncology Intensive Care Unit Hospitalizations

PURPOSE

Terminal oncology intensive care unit (ICU) hospitalizations are associated with high costs and inferior quality of care. This study identifies and characterizes potentially avoidable terminal admissions of oncology patients to ICUs.

METHODS

This was a retrospective case series of patients cared for in an academic medical center's ambulatory oncology practice who died in an ICU during July 1, 2012 to June 30, 2013. An oncologist, intensivist, and hospitalist reviewed each patient's electronic health record from 3 months preceding terminal hospitalization until death. The primary outcome was the proportion of terminal ICU hospitalizations identified as potentially avoidable by two or more reviewers. Univariate and multivariate analysis were performed to identify characteristics associated with avoidable terminal ICU hospitalizations.

RESULTS

Seventy-two patients met inclusion criteria. The majority had solid tumor malignancies (71%), poor performance status (51%), and multiple encounters with the health care system. Despite high-intensity health care utilization, only 25% had documented advance directives. During a 4-day median ICU length of stay, 81% were intubated and 39% had cardiopulmonary resuscitation. Forty-seven percent of these hospitalizations were identified as potentially avoidable. Avoidable hospitalizations were associated with factors including: worse performance status before admission (median 2 v 1; P = .01), worse Charlson comorbidity score (median 8.5 v 7.0, P = .04), reason for hospitalization (P = .006), and number of prior hospitalizations (median 2 v 1; P = .05).

CONCLUSION

Given the high frequency of avoidable terminal ICU hospitalizations, health care leaders should develop strategies to prospectively identify patients at high risk and formulate interventions to improve end-of-life care.