Hospitalisations and emergency department visits in cancer patients receiving systemic therapy: Systematic review and meta-analysis

Development of a Predictive Model for Emergency Department Utilization and Unanticipated Hospital Admission in Patients Receiving Cancer Treatment for Solid Tumor Malignancies

PURPOSE

Unanticipated health care resource utilization, in the form of either emergency department utilization (EDU) or hospital admission (HA), may be an indicator of lower-quality cancer care. The objective of this study was to develop a predictive model for EDU and HAs within 14 days of receipt of systemic therapy for patients with solid tumors.

METHODS

We abstracted electronic health data on oncology encounters from all patients receiving systemic therapy for solid tumors from March 1, 2015, to August 21, 2020, in the Duke University Health System. We defined a primary composite outcome of an EDU or HA within 14 days after the encounter and then developed a predictive model for the primary outcome using least absolute shrinkage and selection operator regression. To evaluate the model, we calculated the area under the receiver operator curve and the calibration slope.

RESULTS

Twelve thousand eight hundred ninety unique patients with 134,641 oncology encounters were included. Five thousand one hundred fifty of these patients (40.0%) had at least one EDU or HA within 14 days of at least one treatment. Forty-six variables were incorporated into the final model. The top predictors, in order of absolute value of the predictive coefficients, were temperature, systolic blood pressure, cancer group, and marital status. The model's AUC was 0.73 (95% CI, 0.722 to 0.732), indicating good sensitivity and specificity to outcome.

CONCLUSION

The model developed in this study demonstrated good sensitivity in identifying patients with solid tumors who are at highest risk for EDU or HA and could be implemented in clinical practice to allow for preventive outpatient interventions.

Examining treatment targets and equity in bone-active medication use within secondary fracture prevention: a systematic review and meta-analysis

PURPOSE

This systematic review seeks to evaluate the proportion of fragility fracture patients screened in secondary fracture prevention programs who were indicated for pharmacological treatment, received prescriptions for bone-active medications, and initiated the prescribed medication. Additionally, the study aims to analyze equity in pharmacological treatment by examining equity-related variables including age, sex, gender, race, education, income, and geographic location.

METHODS

We conducted a systematic review to ascertain the proportion of fragility fracture patients indicated for treatment who received prescriptions and/or initiated bone-active medication through secondary fracture prevention programs. We also examined treatment indications reported in studies and eligibility criteria to confirm patients who were eligible for treatment. To compute the pooled proportions for medication prescription and initiation, we carried out a single group proportional meta-analysis. We also extracted the proportions of patients who received a prescription and/or began treatment based on age, sex, race, education, socioeconomic status, location, and chronic conditions.

RESULTS

This review included 122 studies covering 114 programs. The pooled prescription rate was 77%, and the estimated medication initiation rate was 71%. Subgroup analysis revealed no significant difference in treatment initiation between the Fracture Liaison Service and other programs. Across all studies, age, sex, and socioeconomic status were the only equity variables reported in relation to treatment outcomes.

CONCLUSION

Our systematic review emphasizes the need for standardized reporting guidelines in post-fracture interventions. Moreover, considering equity stratifiers in the analysis of health outcomes will help address inequities and improve the overall quality and reach of secondary fracture prevention programs.

Drivers of Emergency Department Use Among Oncology Patients in the Era of Novel Cancer Therapeutics: A Systematic Review

BACKGROUND

Patients diagnosed with cancer are frequent users of the emergency department (ED). While many visits are unavoidable, a significant portion may be potentially preventable ED visits (PPEDs). Cancer treatments have greatly advanced, whereby patients may present with unique toxicities from targeted therapies and are often living longer with advanced disease. Prior work focused on patients undergoing cytotoxic chemotherapy, and often excluded those on supportive care alone. Other contributors to ED visits in oncology, such as patient-level variables, are less well-established. Finally, prior studies focused on ED diagnoses to describe trends and did not evaluate PPEDs. An updated systematic review was completed to focus on PPEDs, novel cancer therapies, and patient-level variables, including those on supportive care alone.

METHODS

Three online databases were used. Included publications were in English, from 2012-2022, with sample sizes of ≥50, and reported predictors of ED presentation or ED diagnoses in oncology.

RESULTS

45 studies were included. Six studies highlighted PPEDs with variable definitions. Common reasons for ED visits included pain (66%) or chemotherapy toxicities (69.1%). PPEDs were most frequent amongst breast cancer patients (13.4%) or patients receiving cytotoxic chemotherapy (20%). Three manuscripts included immunotherapy agents, and only one focused on end-of-life patients.

CONCLUSION

This updated systematic review highlights variability in oncology ED visits during the last decade. There is limited work on the concept of PPEDs, patient-level variables and patients on supportive care alone. Overall, pain and chemotherapy toxicities remain key drivers of ED visits in cancer patients. Further work is needed in this realm.

Emergency department imaging utilization of cancer patients treated with bevacizumab: single-institution 8-year experience

PURPOSE

This study aims to highlight the presentations, imaging, and clinical outcomes of cancer patients presenting to the emergency department (ED) while receiving bevacizumab (Avastin) therapy.

METHODS

Our retrospective study was based on data from a single institution to identify cancer patients who presented acutely to the ED between 2014 and 2021 within 3 months of beginning bevacizumab who subsequently received diagnostic imaging with CT, MRI, ultrasound, and/or nuclear medicine ventilation/perfusion (VQ) scans. Data gathered included presenting symptoms grouped by body system, imaging impressions, and clinical outcomes, including hospitalization and discontinuation of bevacizumab after each ED visit. Imaging examinations and patient charts were reviewed by a team of fellowship-trained radiologists, radiology residents, and medical students.

RESULTS

A total of 84 patients who presented to the ED were included for analysis. This included 32 (38.1%) males and 52 (61.9%) females, with a mean age of 61.2 years and an age range of 29-91 years. Neurological symptoms were the most common presenting symptoms, followed by abdominal symptoms and respiratory symptoms. Head imaging with CT and MRI was the most common imaging ordered with 55 total examinations, followed by abdominal imaging with 37 CT abdomen/pelvis (A/P) examinations, and then CT chest imaging with 22 examinations. Imaging revealed a serious adverse drug reaction in 21 (25.0%) patients, disease progression in 19 (22.6%), and no acute imaging findings in 44 (52.4%) patients. Imaging diagnoses were significantly associated with treatment planning, with a positive determination of bevacizumab-related serious adverse reaction on imaging leading to discontinuation of bevacizumab (p = 0.001).

CONCLUSION

Multimodality imaging was a commonly used assessment tool for cancer patients receiving bevacizumab who presented to the ED. Imaging played a crucial role in diagnosis in these patients, especially of treatment-related serious adverse reactions and disease progression. Positive imaging findings of serious adverse reactions affected patient management including discontinuation of bevacizumab.

Correlation between overall survival and quality of life in colon cancer patients with chemotherapy

BACKGROUND

Patients presenting with inoperable colon cancer at first onset (ICF) or at time of relapse (ICR) are considered in unrecoverable. The therapeutic goal for unrecoverable cancer is to prolong overall survival (OS) and maintain a high quality of life (QOL). As data on objective indicators of QOL in cancer patients, such as length of hospitalisation (LOH), outpatient consultation times (OCT), and hospital-free survival (HFS), is limited, this study compared ICF and ICR with respect to OS and QOL over the entire clinical course.

METHODS

We retrospectively evaluated 90 inoperable colon cancer patients with chemotherapy and compared ICF and ICR in terms of OS, LOH, OCT, and HFS.

RESULTS

Patients with ICF had a worse OS than those with ICR. In patients with ICF and ICR, OS and LOH were not correlated but OS and OCT and OS and HFS were strongly correlated. In patients with ICF and ICR, OCT and HFS accounted for approximately 8% and 90% of their OS, respectively.

CONCLUSIONS

The LOH, OCT, and HFS are important factors for evaluating objective QOL of patients with inoperable colon cancer and should be considered when making treatment decisions.

Factors associated with distress and the impact of distress on acute health-care service utilization among patients diagnosed with breast and gynecological cancers

OBJECTIVES

Patients with cancer often have unmet needs (e.g., physical, psychosocial, and emotional) during their cancer journey, putting them at risk for distress. This study aimed to identify factors associated with distress and to investigate the association between distress and acute health-care services utilization in a cohort of breast and gynecological cancer patients across different survivorship stages.

METHODS

This was a retrospective cohort study of patients who visited National Cancer Centre Singapore between September 2019 and July 2020. Distress was evaluated using the self-reported Distress Thermometer and Problem List, with a distress thermometer score ≥4 signifying high distress. Data were extracted from electronic medical records. Multivariable logistic regression was used to identify demographic or clinical variables associated with distress and estimate the odds of emergency department (ED) visits and hospitalizations within 30 days of distress screening, adjusted for covariates.

RESULTS

Of the 1386 patients included in the analysis, 510 (36.8%) reported high distress on their first distress screening. Variables associated with high distress included younger age, presence of psychiatric diagnosis, poorer Eastern Cooperative Oncology Group performance status, and shorter duration from cancer diagnosis to distress screening. Patients with high distress were associated with higher odds of ED visits (adjusted odds ratio [OR] = 2.25, 95% confidence interval [CI]: 1.14-4.43) and hospitalizations (adjusted OR = 2.11, 95% CI: 1.27-3.50) within 30 days of distress screening.

SIGNIFICANCE OF RESULTS

Self-reported high distress was associated with higher odds of increased acute health-care services utilization (ED visits and hospitalizations) in patients with breast and gynecological cancer. Identifying the subgroups at risk of high distress could trigger early interventions that reduce unplanned health-care services utilization and possibly health-care costs.

Main reasons and predictive factors of cancer-related emergency department visits in a Hungarian tertiary care center

BACKGROUND

Identifying the reasons for the Emergency Department (ED) visit of patients with cancer would be essential for possibly decreasing the burden of ED use. The aim of our study was to analyze the distribution of the demographic and clinical parameters of patients with cancer based on the reasons for the ED visits and to identify possible predictive factors for their visits.

METHODS

This retrospective study, carried out at a large, public tertiary hospital in Hungary, involved all patients 18 years or over, who had received a cancer diagnosis latest within five years of their visit to the ED in 2018. Demographic and clinical characteristics were collected partly via automated data collection and partly through the manual chart review by a team of experts, including six emergency physicians and an oncologist. Five main reasons for the ED visit were hypothesized, pilot-tested, then identified, including those with cancer-related ED visits (whose visit was unambiguously related to their cancer illness) and those with non-cancer-related ED visits (whose visit to the ED was in no way associated with their cancer illness.) A descriptive approach was used for data analysis and binary logistic regression was used to determine predictive factors for patients with cancer visiting the ED.

RESULTS

23.2% of the altogether 2383 ED visits were directly cancer-related, and these patients had a significantly worse overall survival than patients with non-cancer related ED visits. Age 65 or below (Odds Ratio: 1.51), presence of two more comorbidities (OR: 7.14), dyspnea as chief complaint (OR: 1.52), respiratory cancer (OR: 3.37), any prior chemotherapy (OR: 1.8), any prior immune/biological treatment (OR: 2.21), any prior Best Supportive Care/palliative care (OR: 19.06), or any prior hospice care (OR: 9.43), and hospitalization (OR:2.88) were independent risk factors for the ED visit to be cancer-related.

CONCLUSIONS

Our study is the first to identify independent predictive factors of ED use by patients with cancer based on the chief cause of their visit in the Central and Eastern European region. These results may provide important information for the development of algorithms intended to identify the needs of care of patients with cancer at the ED.

Methodological approaches to measuring the incidence of unplanned emergency department presentations by cancer patients receiving systemic anti-cancer therapy: a systematic review

Background

The need to mitigate the volume of unplanned emergency department (ED) presentations is a priority for health systems globally. Current evidence on the incidence and risk factors associated with unplanned ED presentations is unclear because of substantial heterogeneity in methods reporting on this issue. The aim of this review was to examine the methodological approaches to measure the incidence of unplanned ED presentations by patients receiving systemic anti-cancer therapy in order to determine the strength of evidence and to inform future research.

Methods

An electronic search of Medline, Embase, CINAHL, and Cochrane was undertaken. Papers published in English language between 2000 and 2019, and papers that included patients receiving systemic anti-cancer therapy as the denominator during the study period were included. Studies were eligible if they were analytical observational studies. Data relating to the methods used to measure the incidence of ED presentations by patients receiving systemic anti-cancer therapy were extracted and assessed for methodological rigor. Findings are reported in accordance with the Synthesis Without Meta-Analysis (SWiM) guideline.

Results

Twenty-one articles met the inclusion criteria: 20 cohort studies, and one cross-sectional study. Overall risk of bias was moderate. There was substantial methodological and clinical heterogeneity in the papers included. Methodological rigor varied based on the description of methods such as the period of observation, loss to follow-up, reason for ED presentation and statistical methods to control for time varying events and potential confounders.

Conclusions

There is considerable diversity in the population and methods used in studies that measure the incidence of unplanned ED presentations by patients receiving systemic anti-cancer therapy. Recommendations to support the development of robust evidence include enrolling participants at diagnosis or initiation of treatment, providing adequate description of regular care to support patients who experience toxicities, reporting reasons for and characteristics of participants who are lost to follow-up throughout the study period, clearly defining the outcome including the observation and follow-up period, and reporting crude numbers of ED presentations and the number of at-risk days to account for variation in the length of treatment protocols.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-022-01555-3.

Remote, proactive, telephone based management of toxicity in outpatients during adjuvant or neoadjuvant chemotherapy for early stage breast cancer: pragmatic, cluster randomised trial

OBJECTIVE

To evaluate the effectiveness of remote proactive management of toxicities during chemotherapy for early stage breast cancer.

DESIGN

Pragmatic, cluster randomised trial.

SETTING

20 cancer centres in Ontario, Canada, allocated by covariate constrained randomisation to remote management of toxicities or routine care.

PARTICIPANTS

All patients starting adjuvant or neoadjuvant chemotherapy for early stage breast cancer at each centre. 25 patients from each centre completed patient reported outcome questionnaires.

INTERVENTIONS

Proactive, standardised, nurse led telephone management of common toxicities at two time points after each chemotherapy cycle.

MAIN OUTCOME MEASURES

The primary outcome, cluster level mean number of visits to the emergency department or admissions to hospital per patient during the whole course of chemotherapy treatment, was evaluated with routinely available administrative healthcare data. Secondary patient reported outcomes included toxicity, self-efficacy, and quality of life.

RESULTS

Baseline characteristics of participants were similar in the intervention (n=944) and control arms (n=1214); 22% were older than 65 years. Penetration (that is, the percentage of patients who received the intervention at each centre) was 50-86%. Mean number of visits to the emergency department or admissions to hospital per patient was 0.91 (standard deviation 0.28) in the intervention arm and 0.94 (0.40) in the control arm (P=0.94); 47% (1014 of 2158 patients) had at least one visit to the emergency department or a hospital admission during chemotherapy. Among 580 participants who completed the patient reported outcome questionnaires, at least one grade 3 toxicity was reported by 48% (134 of 278 patients) in the intervention arm and by 58% (163 of 283) in the control arm. No differences in self-efficacy, anxiety, or depression were found. Compared with baseline, the functional assessment of cancer therapy trial outcome index decreased by 6.1 and 9.0 points in the intervention and control participants, respectively.

CONCLUSIONS

Proactive, telephone based management of toxicities during chemotherapy did not result in fewer visits to the emergency department or hospital admissions. With the rapid rise in remote care because of the covid-19 pandemic, identifying scalable strategies for remote management of patients during cancer treatment is particularly relevant.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02485678.

Acute Care Use by Breast Cancer Patients on Adjuvant Chemotherapy in Alberta: Demonstrating the Importance of Measurement to Improving Quality

Breast cancer patients receiving adjuvant chemotherapy are at increased risk of acute care use. The incidence of emergency department (ED) visits and hospitalizations (H) have been characterized in other provinces but never in Alberta. We conducted a retrospective population-based cohort study using administrative data of women with stage I-III breast cancer receiving adjuvant chemotherapy. Rates of ED and H use in the 180 days following chemotherapy initiation were determined, and logistic regression was performed to identify risk factors. We found that 47% of women receiving adjuvant chemotherapy experienced ED or H, which compared favourably to other provinces. However, Alberta had the highest rate of febrile neutropenia-related ED visits, and among the highest chemotherapy-related ED visits. The incidence of acute care use increased over time, and there were significant institutional differences despite operating under a single provincial healthcare system. Our study demonstrates the need for systematic measurement and the importance of quality improvement programs to address this gap.

Gender, socioeconomic status and emergency department visits among cancer survivors in the USA: a population-based study

Aim: To assess patterns of emergency department visits and subsequent hospitalization in relation to gender and socioeconomic status among a cohort of cancer survivors in the USA. Materials & methods: National Health Interview Survey datasets (2011-2017) were reviewed and participants with a history of cancer and complete information about emergency department visits in the past 12 months were included. Multivariable logistic regression analyses were used to assess factors associated with emergency department visits and subsequent hospitalization after the most recent emergency department visit. Results: A total of 22,240 cancer survivors were included in the current analysis; of which 16,133 participants (72.5%) who have not visited an emergency department in the past 12 months and 6107 participants (27.5%) who have visited an emergency department in the past 12 months. Multivariable logistic regression analysis suggested the following factors are associated with emergency department visits; younger age (odds ratio [OR] with increasing age: 0.98; 95% CI: 0.98-0.99), female gender (OR: 1.07; 95% CI: 1.00-1.15), African American race (OR: 1.26; 95% CI: 1.13-1.40), unmarried status (OR for married vs unmarried: 0.79; 95% CI: 0.74-0.84), lower yearly earnings (OR: 1.36; 95% CI: 1.20-1.54), poor health status (OR: 7.02; 95% CI: 6.02-8.18) and incomplete health insurance coverage (OR for complete coverage vs incomplete coverage: 0.66; 95% CI: 0.54-0.80). On the other hand, the following factors were associated with subsequent hospitalization: older age (OR: 1.004; 95% CI: 1.000-1.008), male gender (OR for female vs male: 0.86; 95% CI: 0.78-0.94), unmarried status (OR for married vs unmarried status: 0.80; 95% CI: 0.73-0.88), not working (OR: 1.44; 95% CI: 1.23-1.68), lower yearly earnings (OR: 1.31; 95% CI: 1.07-1.60), poor health status (OR: 8.43; 95% CI: 6.76-10.51) and lack of health insurance coverage (OR for complete coverage vs incomplete coverage: 0.71; 95% CI: 0.55-0.93). Conclusion: Female cancer survivors were more likely to visit the emergency department, whereas they were less likely to be subsequently hospitalized. Cancer survivors with lower socioeconomic status were more likely to visit emergency departments and to be subsequently hospitalized.

Unplanned emergency department visits and hospital admissions of older adults under treatment for cancer in the ambulatory/community setting

PURPOSE

This study aims to identify the incidence and risk/protective factors for (1) unplanned emergency department (ED) visits and hospital admissions (HA) and (2) nausea/vomiting/dehydration (NVD) at time of treatment in older adults under treatment for cancer.

MATERIALS AND METHODS

This is a exploratory retrospective cohort study of adults (60 and older) with cancer. Adults were included if they had a new cancer diagnosis and were being treated with chemotherapy. Study outcomes included the number of ED visits and HA (cycles 1-4) and NVD at the time of receiving chemotherapy (cycles 2-4). Repeated measures, Poisson regression was used to obtain risk ratios with 95% confidence intervals for independent predictors of outcomes.

RESULTS

Of 402 study participants, 20% experienced an ED visit, and 18% experienced a HA. Common reasons for ED visits were pain (23.5%) and NVD (20.4%). Common reasons for HA were infection (34.4%) and NVD (22.2%). Multivariate analysis showed risk factors for ED visits included chemotherapy cycle 1, having esophageal cancer, being treated with ≥ 3 chemotherapy agents, and increasing levels of functional impairment. Risk factors for HA included chemotherapy cycle 1, increasing levels of functional impairment, intravenous fluids between treatment, and being prescribed antiemetics for home use. Predictors of NVD at time of chemotherapy treatment included Hispanic ethnicity, insurance status, cancer type, chemotherapy emetic potent, treatment frequency, intravenous fluids between cycles, and number of home antiemetics.

CONCLUSION

Unplanned ED visits and HA occur in older adults under treatment for cancer due to numerous treatment-related side effects. Helping older adults identify and manage side effects early may reduce the number of unplanned admissions.

A Machine Learning Model Approach to Risk-Stratify Patients With Gastrointestinal Cancer for Hospitalization and Mortality Outcomes

PURPOSE

Patients with gastrointestinal (GI) cancer frequently experience unplanned hospitalizations, but predictive tools to identify high-risk patients are lacking. We developed a machine learning model to identify high-risk patients.

METHODS AND MATERIALS

In the study, 1341 consecutive patients undergoing GI (abdominal or pelvic) radiation treatment (RT) from March 2016 to July 2018 (derivation) and July 2018 to January 2019 (validation) were assessed for unplanned hospitalizations within 30 days of finishing RT. In the derivation cohort of 663 abdominal and 427 pelvic RT patients, a machine learning approach derived random forest, gradient boosted decision tree, and logistic regression models to predict 30-day unplanned hospitalizations. Model performance was assessed using area under the receiver operating characteristic curve (AUC) and prospectively validated in 161 abdominal and 90 pelvic RT patients using Mann-Whitney rank-sum test. Highest quintile of risk for hospitalization was defined as "high-risk" and the remainder "low-risk." Hospitalizations for high- versus low-risk patients were compared using Pearson's χ² test and survival using Kaplan-Meier log-rank test.

RESULTS

Overall, 13% and 11% of patients receiving abdominal and pelvic RT experienced 30-day unplanned hospitalization. In the derivation phase, gradient boosted decision tree cross-validation yielded AUC = 0.823 (abdominal patients) and random forest yielded AUC = 0.776 (pelvic patients). In the validation phase, these models yielded AUC = 0.749 and 0.764, respectively (P < .001 and P = .002). Validation models discriminated high- versus low-risk patients: in abdominal RT patients, frequency of hospitalization was 39% versus 9% in high- versus low-risk groups (P < .001) and 6-month survival was 67% versus 92% (P = .001). In pelvic RT patients, frequency of hospitalization was 33% versus 8% (P = .002) and survival was 86% versus 92% (P = .15) in high- versus low-risk patients.

CONCLUSIONS

In patients with GI cancer undergoing RT as part of multimodality treatment, machine learning models for 30-day unplanned hospitalization discriminated high- versus low-risk patients. Future applications will test utility of models to prompt interventions to decrease hospitalizations and adverse outcomes.

Risk Factors for Emergency Room and Hospital Care Among Patients With Solid Tumors on Immune Checkpoint Inhibitor Therapy

OBJECTIVES

Immune checkpoint inhibitors (ICIs) are being increasingly used across cancer types. Emergency room (ER) and inpatient (IP) care, common in patients with cancer, remain poorly defined in this specific population, and risk factors for such care are unknown.

METHODS

We retrospectively reviewed charts for patients with solid tumors who received >1 ICI dose at 1 of 2 sites from January 1, 2011 to April 28, 2017. Demographics, medical history, cancer diagnosis/therapy/toxicity details, and outcomes were recorded. Descriptive data detailing ER/IP care at the 2 associated hospitals during ICI therapy (from first dose to 3 mo after last dose) were collected. The Fisher exact test and multivariate regression analysis was used to study differences between patients with versus without ER/IP care during ICI treatment.

RESULTS

Among 345 patients studied, 50% had at least 1 ER visit during ICI treatment and 43% had at least 1 IP admission. Six percent of ER/IP visits eventually required intensive care. A total of 12% of ER/IP visits were associated with suspected or confirmed immune-related adverse events. Predictors of ER care were African-American race (odds ratio [OR]: 3.83, P=0.001), Hispanic ethnicity (OR: 3.12, P=0.007), and coronary artery disease (OR: 2.43, P=0.006). Predictors of IP care were African-American race (OR: 2.38, P=0.024), Hispanic ethnicity (OR: 2.29, P=0.045), chronic kidney disease (OR: 3.89, P=0.006), angiotensin converting enzyme inhibitor/angiotensin receptor blocker medication use (OR: 0.44, P=0.009), and liver metastasis (OR: 2.32, P=0.003).

CONCLUSIONS

Understanding demographic and clinical risk factors for ER/IP care among patients on ICIs can help highlight disparities, prospectively identify high-risk patients, and inform preventive programs aimed at reducing such care.

Meta-analyzing count events over varying durations using the piecewise Poisson model: The case for poststroke seizures

Meta-analyzing count data can be challenging when follow-up time varies across studies. Simply pooling aggregate data over time-periods would result in biased estimates, which may erroneously inform clinical decision-making. In this study, we exploit the convolution property of the Poisson distribution to develop a likelihood for observed cumulative counts over varying follow-up periods, where different Poisson distributions are used to represent the data generating processes for the latent counts in pre-defined successive intervals of follow-up. We illustrate this approach using an example of poststroke seizures, a case in which risk may change over time, and mimic its survival duration with time-varying hazard. Data were extracted from observational studies (1997-2016) reporting poststroke seizures over a maximum of 10 years of follow-up. Three clinically meaningful follow-up time intervals were considered: 0 to 7 days, 8 to 365 days, and 1 to 10 years poststroke. External validation was performed using claims data. Results suggest the incidence rate of seizures was 0.0452 (95% confidence interval: 0.0429, 0.0475), 0.0001 (0, 0.016), and 0.0647 (0.0441, 0.0941) for the three time intervals, respectively, indicating that the risk of seizures changes over time poststroke. We found that the model performed well against the incidence rate of seizures among actual retrospective cohort from claims data. The piecewise Poisson model presents a flexible way to meta-analyze count data over time and mimic survival curves. The results of the piecewise Poisson model are readily interpretable and may spur meaningful clinical action. The method may also be applied to other diseases. HIGHLIGHTS: It is challenging to perform a meta-analysis when follow-up time varies across studies. Ideally, outcomes over different time-periods should be pooled with individual patient-level data (IPD). A new model was developed to meta-analyze count data over time using aggregate-level data from previous published studies. The piecewise Poisson model could be a useful tool to estimate time-vary hazards given available data, and mimic survival curves over time which would be readily interpretable.

Clinical Outcomes of Patients with Metastatic Cancer Receiving Immune Checkpoint Inhibitors in the Inpatient Setting

BACKGROUND

As indications for immune checkpoint inhibitor (ICI) therapy have increased in recent years, so has the proportion of patients eligible for this type of therapy. However, a lack of data exists about the risks and benefits of ICI therapy in hospitalized patients, who tend to be frailer and sicker than patients enrolled in clinical trials.

MATERIAL AND METHODS

We conducted a retrospective cohort study among hospitalized patients with metastatic solid tumors who received ICI therapy at a large academic cancer center over the course of 4 years. We analyzed the characteristics and outcomes of these patients and identified demographic and clinical factors that could be used to predict mortality.

RESULTS

During the 4-year study period, 106 patients were treated with ICI therapy while admitted to the hospital; 70 (66%) had Eastern Cooperative Oncology Group Performance Status ≥2, which would have prevented them from enrolling in most clinical trials of ICIs. Fifty-two patients (49%) died either during admission or within 30 days of discharge; median overall survival was 1.0 month from discharge, and 16 patients (15%) were alive 6 months after discharge. Independent predictors of death following receipt of inpatient ICI included a diagnosis of non-small cell lung cancer relative to melanoma and prior treatment with two or more lines of therapy.

CONCLUSION

The poor overall outcomes observed in this study may give clinicians pause when considering ICI therapy for hospitalized patients, particularly those with characteristics that are associated with a greater risk of mortality.

IMPLICATIONS FOR PRACTICE

Immunotherapy strategies for patients with cancer are rapidly evolving and their use is expanding, but not all patients will develop a response, and secondary toxicity can be significant and challenging. This is especially evident in hospitalized patients, where the economic cost derived from inpatient immune checkpoint inhibitor (ICI) administration is important and the clinical benefit is sometimes unclear. The poor overall outcomes evidenced in the ICI inpatient population in this study highlight the need to better identify the patients that will respond to these therapies, which will also help to decrease the financial burden imposed by these highly priced therapies.

Economic Assessment of a New Model of Care to Support Patients With Cancer Experiencing Cancer- and Treatment-Related Toxicities

PURPOSE:

The aim of this economic assessment was to evaluate the impact of a new nurse-led model of care, the Symptom and Urgent Review Clinic (SURC), for patients with cancer experiencing disease- or treatment-related symptoms.

METHODS:

An economic assessment was undertaken to estimate costs of the SURC from the service funder perspective and to compare the cost with cost offsets stemming from the implementation of the SURC. The cost offsets focused on the changes in emergency department (ED) presentations and inpatient admissions during a comparable 6-month period before and after the SURC implementation. Costs were analyzed in 2018 Australian dollars, and return on investment was calculated by comparing the cost offsets in the ED and inpatient units with the cost of the SURC.

RESULTS:

After the implementation of the SURC, patients were less likely to present to the ED (7.2% v 8.5%; P = .01), and patients who did present to the ED were more likely to be admitted to inpatient units (78% v 71%; P = .03) for additional treatment. The post-SURC period had a net cost savings of $37,090 compared with the pre-SURC period. From the service funder perspective, the SURC achieved an investment return of $1.73 for every dollar invested in the new service.

CONCLUSION:

Our study establishes the economic credentials of a new care model using empirical linked hospital service data. The SURC presents a new cancer care service for policy consideration from an economic standpoint. It demonstrates an efficient approach to hospital resource allocation to deliver quality cancer care.

Remote Oncology Care: Review of Current Technology and Future Directions

Cancer patients frequently develop tumor and treatment-related complications, leading to diminished quality of life, shortened survival, and overutilization of emergency department and hospital services. Outpatient oncology treatment has potential to leave cancer patients unmonitored for long periods while at risk of clinical deterioration which has been exaggerated during the COVID19 pandemic. Visits to cancer clinics and hospitals risk exposing immunocompromised patients to infectious complications. Remote patient reported outcomes monitoring systems have been developed for use in cancer treatment, showing benefits in economic and survival outcomes. While advanced devices such as pulmonary artery pressure monitors and implantable loop recorders have proven benefits in cardiovascular care, similar options do not exist for oncology. Here we review the current literature around remote patient monitoring in cancer care and propose the use of reliable devices for capturing and reporting patient symptoms and physiology.

Financial Hardship, Healthcare Utilization, and Health Among U.S. Cancer Survivors

INTRODUCTION

This study examined associations of both medical and nonmedical financial hardships with healthcare utilization and self-rated health among cancer survivors.

METHODS

The National Health Interview Survey (2013-2017) was used to identify cancer survivors (aged 18-64 years: n=4,939; aged ≥65 years: n=6,972). A total of 4 levels of medical financial hardship intensities were created with measures from material, psychological, and behavioral domains. A total of 5 levels of nonmedical financial hardship intensities were created with measures in food insecurity and worry about other economic needs (e.g., housing expenses). Generalized ordinal logistic regression examined associations between medical and nonmedical financial hardship intensities and emergency department visits, use of preventive services and cancer screenings, and self-rated health. All analyses were performed in 2019.

RESULTS

In adjusted analyses, cancer survivors with higher medical financial hardship intensity (Level 4 vs Level 1; aged 18-64 years: 42% vs 26.2%, p<0.001; aged ≥65 years: 37.6% vs 24.3%, p=0.001) and higher nonmedical financial hardship intensity (Level 5 vs Level 1; aged 18-64 years: 37.2% vs 27.9%, p=0.011) had more emergency department visits. Moreover, cancer survivors with higher medical financial hardship intensity had lower influenza vaccine (Level 4 vs Level 1; aged 18-64 years: 45.6% vs 52.5%, p=0.036; aged ≥65 years: 64.6% vs 75.6%, p=0.008) and lower breast cancer screening levels (Level 4 vs Level 1; 46.8% vs 61.2%, p=0.001). Similar patterns were found between higher financial hardship intensities and worse self-rated health.

CONCLUSIONS

Higher medical and nonmedical financial hardships are independently associated with more emergency department visits, lower receipt of some preventive services, and worse self-rated health in cancer survivors. With growing healthcare costs, unmet medical and nonmedical financial needs may worsen health disparities among cancer survivors.

Perspective of Oncology Patients During COVID-19 Pandemic: A Prospective Observational Study From India

PURPOSE

The coronavirus disease 2019 (COVID-19) pandemic has imposed a unique challenge to oncology patients and their treatment. There is no study related to the patients’ preference for systemic therapy during this pandemic. We have conducted a prospective study to analyze that aspect.

METHODS

All consecutive patients who visited during the lockdown period from April 1-10, 2020, for systemic chemotherapy were included in the study for a questionnaire-based survey to evaluate the willingness to continue chemotherapy during this pandemic and factors influencing the decisions.

RESULTS

A total of 302 patients were included (median age, 56 years; range, 21-77 years). Most common sites of cancer were breast (n = 114), lung (n = 44), ovary (n = 34), and colon (n = 20). Home address was within the city for 125 patients (42%), outside the city for 138 (46%), and outside the state for 37 (12%). Treatment was curative in 150 patients and palliative in 152. Educational status was primary and above for 231 patients and no formal schooling for 71. A total of 203 patients wanted to continue chemotherapy, 40 wanted to defer, and 56 wanted the physician to decide. Knowledge about COVID-19 strongly correlated with intent of treatment (P = .01), disease status (P = .02), knowledge about immunosuppression (P < .001), home location (P = .02), and education status (P = .003). The worry about catching SARS-CoV-2 was high in those with controlled disease (P = .06) and knowledge about immunosuppression (P = .02). Worry about disease progression was more with palliative intent (P < .001).

CONCLUSION

This study shows that oncology patients in our country are more worried about disease progression than the SARS-CoV-2 and wish to continue chemotherapy during this pandemic. The treatment guidelines in the COVID-19 scenario should incorporate patients’ perspectives.

How Do We Align Health Services Research and Quality Improvement?

Quality improvement (QI) initiatives and health services research (HSR) are commonly used to target health care quality. These disciplines are increasingly important because of the movement toward value-based health care as alternative payment and care delivery models drive institutions and investigators to focus on reducing unnecessary health care use and improving care coordination. QI efforts frequently target medical error and/or efficiency of care through the Plan-Do-Study-Act methodology. Within the QI framework, strategies for data display (e.g., Pareto charts, run charts, histograms, scatter plots) are leveraged to identify opportunities for intervention and improvement. HSR is a multidisciplinary field of study that seeks to identify the most effective way to organize, deliver, and finance health care to maximize the quality and value of care at both the individual and population levels. HSR uses a diverse set of quantitative and qualitative methodologies, such as case-control studies, cohort studies, randomized control trials, and semistructured interview/focus group evaluations. This manuscript provides examples of methodologic approaches for QI and HSR, discusses potential challenges associated with concurrent quality efforts, and identifies strategies to successfully leverage the strengths of each discipline in care delivery.

Evaluating Patients' Perception of the Risk of Acute Care Visits During Systemic Therapy for Cancer

PURPOSE

Unplanned emergency department (ED) visits and hospitalizations are common during systemic cancer therapy. To determine how patients with cancer trade off treatment benefit with risk of experiencing an ED visit or hospitalization when deciding about systemic therapy, we undertook a discrete choice experiment.

MATERIALS AND METHODS

Patients with breast, colorectal, or head and neck cancer contemplating, receiving, or having previously received systemic therapy were presented with 10 choice tasks (5 in the curative and 5 in the palliative setting) that varied on 3 attributes: benefit, risk of ED visit, and risk of hospitalization. Preferences for attributes and levels were measured using part-worth utilities, estimated using hierarchical Bayes analysis. Segmentation analysis was conducted to identify subgroups with different preferences.

RESULTS

A total of 293 patients completed the survey; most were female (76%), had breast cancer (63%), and were currently receiving systemic therapy (72%) with curative intent (59%). Benefit was the most important decision attribute regardless of treatment intent, followed by risk of hospitalization, then risk of ED visit. Two segments were observed: one large cluster exhibiting logical and consistent choices, and a smaller segment exhibiting illogical and inconsistent choices. Patients in the latter segment were more likely to have metastatic head and neck cancer, be male, were older, and reported fewer prior ED visits.

CONCLUSION

Although the risk of ED visit or hospitalization contributes to patient treatment preferences, benefit was the most important attribute. Segmentation suggests that a subset of patients may lack cognitive abilities, engagement, or literacy to consistently evaluate treatment choices. Understanding this subset may provide insight into patients' decision making and understanding of treatment options.

Development and Validation of a Score to Predict Acute Care Use After Initiation of Systemic Therapy for Cancer

IMPORTANCE

Emergency department visits and hospitalizations after starting systemic therapy for cancer are frequent, undesirable, and costly. A score to quantify the risk of needing acute care can inform decision-making and facilitate the development of preventive interventions.

OBJECTIVE

To develop and validate a score to predict early use of acute care after initiating systemic therapy for cancer.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective population-based cohort study was conducted between July 1, 2014, and June 30, 2015. Patients with cancer were eligible if they started a new systemic therapy for cancer, regardless of line of therapy. A total of 12 162 patients in Southwestern Ontario, Canada, formed the development cohort and 15 845 patients in Northeastern Ontario formed the validation cohort. Data analysis was conducted from December 1, 2016, to August 10, 2019.

EXPOSURES

The Prediction of Acute Care Use During Cancer Treatment (PROACCT) score was created based on logistic regression in the development cohort. Combinations of cancer type and regimens were grouped into quintiles based on risk of needing acute care. The score was assessed in the validation cohort.

MAIN OUTCOMES AND MEASURES

At least 1 emergency department visit or hospitalization within 30 days after starting systemic therapy for cancer identified from administrative databases.

RESULTS

Among the 12 162 patients in the development cohort, 6903 were women and 5259 were men (mean [SD] age, 62.9 [12.6] years); among the 15 845 patients in the validation cohort, 9025 were women and 6820 were men (mean [SD] age, 62.9 [12.6] years). Use of acute care occurred within 30 days after initiation of systemic therapy in 3039 patients (25.0%) in the development cohort and 4212 patients (26.6%) in the validation cohort. Three characteristics predicted early use of acute care and formed the PROACCT score: combination of cancer type and treatment regimen, age, and emergency department visits in the prior year (C statistic, 0.67; 95% CI, 0.66-0.69; P < .001). Other characteristics including patient-reported symptoms did not improve performance. In the validation cohort, the PROACCT score was associated with use of acute care (odds ratio per point increase, 1.22; 95% CI, 1.20-1.24; P < .001), had a C statistic of 0.61 (95% CI, 0.60-0.62; P < .001), was reasonably calibrated, and provided net benefit in decision curve analysis.

CONCLUSIONS AND RELEVANCE

The PROACCT score predicted the risk of early use of acute care in patients starting systemic treatment for cancer and could be incorporated at the point of care to select patients for preventive interventions. Future studies should validate the PROACCT score in other settings.

Cross-Canada differences in early-stage breast cancer treatment and acute-care use

Background

Chemotherapy has improved outcomes in early-stage breast cancer, but treatment practices vary, and use of acute care is common. We conducted a pan-Canadian study to describe treatment differences and the incidence of emergency department visits (edvs), edvs leading to hospitalization (edvhs), and direct hospitalizations (hs) during adjuvant chemotherapy.

Methods

The cohort consisted of women diagnosed with early-stage breast cancer (stages i-iii) during 2007-2012 in British Columbia, Manitoba, Ontario, or Nova Scotia who underwent curative surgery. Parallel provincial analyses were undertaken using linked clinical, registry, and administrative databases. The incidences of edvs, edvhs, and hs in the 6 months after treatment initiation were examined for patients treated with adjuvant chemotherapy.

Results

The cohort consisted of 50,224 patients. The proportion of patients who received chemotherapy varied by province, with Ontario having the highest proportion (46.4%), and Nova Scotia, the lowest proportion (38.0%). Age, stage, receptor status, comorbidities, and geographic location were associated with receipt of chemotherapy in all provinces. Ontario had the highest proportion of patients experiencing an edv (36.1%), but the lowest proportion experiencing h (6.4%). Conversely, British Columbia had the lowest proportion of patients experiencing an edv (16.0%), but the highest proportion experiencing h (26.7%). The proportion of patients having an edvh was similar across provinces (13.9%-16.8%). Geographic location was associated with edvs, edvhs, and hs in all provinces.

Conclusions

Intra- and inter-provincial differences in the use of chemotherapy and acute care were observed. Understanding variations in care can help to identify gaps and opportunities for improvement and shared learnings.

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.

Ambulatory Toxicity Management (AToM) in patients receiving adjuvant or neo-adjuvant chemotherapy for early stage breast cancer - a pragmatic cluster randomized trial protocol

Background

Population-based studies suggest that emergency department visits and hospitalizations are common among patients receiving chemotherapy and that rates in routine practice are higher than expected from clinical trials. Chemotherapy-related toxicities are often predictable and, consequently, acute care visits may be preventable with adequate treatment planning and support between visits to the cancer centre. We will evaluate the impact of proactive telephone-based toxicity management on emergency department visits and hospitalizations in women with early stage breast cancer receiving chemotherapy.

Methods

In this pragmatic covariate constraint-based cluster randomized trial, 20 centres in Ontario, Canada are randomly allocated to either proactive telephone toxicity management (intervention) or routine care (control). The primary outcome is the cluster-level mean number of ED + H visits per patient evaluated using Ontario administrative healthcare data. Participants are all patients with early stage (I-III) breast cancer commencing adjuvant or neo-adjuvant chemotherapy at participating institutions during the intervention period. At least 25 patients at each centre participate in a patient reported outcomes sub-study involving the collection of standardized questionnaires to measure: severity of treatment toxicities, self-care, self-efficacy, quality of life, and coordination of care. Patients participating in the patient reported outcomes (PRO) sub-study are asked to provide written consent to link their PRO data to administrative data. Unit costs will be applied to each per person resource utilized, and a total cost per population and patient will be generated. An incremental cost-effectiveness analysis will be undertaken to compare the incremental costs and outcomes between the intervention and control groups from the health system perspective.

Discussion

This study evaluates the effectiveness of a proactive toxicity management intervention in a routine care setting. The use of administrative healthcare data to evaluate the primary outcome enables an evaluation in a real world setting and at a much larger scale than previous studies.

Trial registration

Clinicaltrials.gov, NCT02485678. Registered 30 June 2015.

Electronic supplementary material

The online version of this article (10.1186/s12885-019-6099-x) contains supplementary material, which is available to authorized users.

User-Centered Design of a Web-Based Tool to Support Management of Chemotherapy-Related Toxicities in Cancer Patients

BACKGROUND

Cancer patients receiving chemotherapy have high symptom needs that can negatively impact quality of life and result in high rates of unplanned acute care visits. Remote monitoring tools may improve symptom management in this patient population.

OBJECTIVE

This study aimed to design a prototype tool to facilitate remote management of chemotherapy-related toxicities.

METHODS

User needs were assessed using a participatory, user-centered design methodology that included field observation, interviews, and focus groups, and then analyzed using affinity diagramming. Participants included oncology patients, caregivers, and health care providers (HCPs) including medical oncologists, oncology nurses, primary care physicians, and pharmacists in Ontario, Canada. Overarching themes informed development of a Web-based prototype, which was further refined over 2 rounds of usability testing with end users.

RESULTS

Overarching themes were derived from needs assessments, which included 14 patients, 1 caregiver, and 12 HCPs. Themes common to both patients and HCPs included gaps and barriers in current systems, need for decision aids, improved communication and options in care delivery, secure access to credible and timely information, and integration into existing systems. In addition, patients identified missed opportunities, care not meeting their needs, feeling overwhelmed and anxious, and wanting to be more empowered. HCPs identified accountability for patient management as an issue. These themes informed development of a Web-based prototype (bridges), which included toxicity tracking, self-management advice, and HCP communication functionalities. Usability testing with 11 patients and 11 HCPs was generally positive; however, identified challenges included tool integration into existing workflows, need for standardized toxicity self-management advice, issues of privacy and consent, and patient-tailored information.

CONCLUSIONS

Web-based tools integrating just-in-time self-management advice and HCP support into routine care may address gaps in systems for managing chemotherapy-related toxicities. Attention to the integration of new electronic tools into self-care by patients and practice was a strong theme for both patients and HCP participants and is a key issue that needs to be addressed for wide-scale adoption.

Ambulatory Toxicity Management (AToM) Pilot: results of a pilot study of a pro-active, telephone-based intervention to improve toxicity management during chemotherapy for breast cancer

BACKGROUND

Chemotherapy is associated with a significant risk of toxicity, which often peaks between ambulatory visits to the cancer centre. Remote symptom management support is a tool to optimize self-management and healthcare utilization, including emergency department visits and hospitalizations (ED+H) during chemotherapy. We performed a single-arm pilot study to evaluate the feasibility, acceptability, and potential impact of a telephone symptom management intervention on healthcare utilization during chemotherapy for early stage breast cancer (EBC).

METHODS

Women starting adjuvant or neoadjuvant chemotherapy for EBC at two cancer centres in Ontario, Canada, received standardized, nurse-led calls to assess common toxicities at two time points following each chemotherapy administration. Feasibility outcomes included patient enrollment, retention, RN adherence to delivering calls per the study schedule, and resource use associated with calls; acceptability was evaluated based on patient and provider feedback. Impact on acute care utilization was evaluated post hoc by linking individual patient records to provincial data holdings to examine ED+H patterns among participating patients compared to contemporaneous controls.

RESULTS

Between September 2013 and December 2014, 77 women were enrolled (mean age 55 years). Most commonly used regimens were AC-paclitaxel (58%) and FEC-docetaxel (16%); 78% of patients received primary granulocyte colony-stimulating factor prophylaxis. 83.8% of calls were delivered per schedule; mean call duration was 9 min. The intervention was well received by both patients and clinicians. Comparison of ED+H rates among study participants versus controls showed that there were fewer ED visits in intervention patients [incidence rate ratio (IRR) (95% CI) = 0.54 (0.36, 0.81)] but no difference in the rate of hospitalizations [IRR (95% CI) = 1.02 (0.59, 1.77)]. Main implementation challenges included identifying eligible patients, fitting the calls into existing clinical responsibilities, and effective communication to the patient's clinical team.

CONCLUSIONS

Telephone-based pro-active toxicity management during chemotherapy is feasible, perceived as valuable by clinicians and patients, and may be associated with lower rates of acute care use. However, attention must be paid to workflow issues for scalability. Larger scale evaluation of this approach is in progress.