Symptom-related emergency department visits and hospital admissions during ambulatory cancer treatment

A Digital Therapeutic Application (ePAL) to Manage Pain in Patients With Advanced Cancer: A Randomized Controlled Trial

BACKGROUND

Patients with advanced cancer often experience immense cancer pain that negatively impacts their quality of life. Interventions to address cancer-related pain are limited.

METHODS

We conducted a randomized trial of a digital therapeutic app (ePAL) for patients with advanced cancer receiving care in a specialty palliative care clinic at a tertiary care hospital. Patients were randomized to ePAL or usual care. ePAL included 1) active pain monitoring; 2) artificial intelligence algorithm to triage patient symptoms; and 3) patient education to address barriers to pain management. Participants were instructed to use ePAL over eight weeks. Patient-reported pain symptoms were assessed at baseline, Week-4, and Week-8 (primary endpoint) using the Brief Pain Inventory. Secondary outcomes include pain-related hospitalizations by Week-8.

RESULTS

We enrolled 112 patients who were randomly assigned to ePAL (N = 56) or usual care (N = 56). Patients utilized ePAL on average 2.1 times per week to report pain symptoms, and 47.6% reported their pain at least once per week over eight weeks. Patients randomized to ePAL reported lower pain scores at Week-4 (mean: 3.16 vs. 4.28, P = 0.010) and week-8 (mean:2.99 vs. 4.05, P = 0.017), compared to those receiving usual care. Participants randomized to ePAL were less likely to experience a pain-related hospitalization compared to those in the usual care group (7.1% vs. 23.2% P = 0.018) CONCLUSIONS: ePAL was associated with lower patient-reported pain and fewer pain-related hospitalizations compared to usual care in patients with advanced cancer. This study demonstrates the promise of digital therapeutics for improving patients' symptoms while reducing burdensome hospitalizations.

Patient-Reported Symptom Complexity and Acute Care Utilization Among Patients With Cancer: A Population-Based Study Using a Novel Symptom Complexity Algorithm and Observational Data

BACKGROUND

Patients with cancer in Canada are often effectively managed in ambulatory settings; however, patients with unmanaged or complex symptoms may turn to the emergency department (ED) for additional support. These unplanned visits can be costly to the healthcare system and distressing for patients. This study used a novel patient-reported outcomes (PROs)-derived symptom complexity algorithm to understand characteristics of patients who use acute care, which may help clinicians identify patients who would benefit from additional support.

PATIENTS AND METHODS

This retrospective observational cohort study used population-based linked administrative healthcare data. All patients with cancer in Alberta, Canada, who completed at least one PRO symptom-reporting questionnaire between October 1, 2019, and April 1, 2020, were included. The algorithm used ratings of 9 symptoms to assign a complexity score of low, medium, or high. Multivariable binary logistic regressions were used to evaluate factors associated with a higher likelihood of having an ED visit or hospital admission (HA) within 7 days of completing a PRO questionnaire.

RESULTS

Of the 29,133 patients in the cohort, 738 had an ED visit and 452 had an HA within 7 days of completing the PRO questionnaire. Patients with high symptom complexity had significantly higher odds of having an ED visit (OR, 3.10; 95% CI, 2.59-3.70) or HA (OR, 4.20; 95% CI, 3.36-5.26) compared with low complexity patients, controlling for demographic covariates.

CONCLUSIONS

Given that patients with higher symptom complexity scores were more likely to use acute care, clinicians should monitor these more complex patients closely, because they may benefit from additional support or symptom management in ambulatory settings. A symptom complexity algorithm can help clinicians easily identify patients who may require additional support. Using an algorithm to guide care can enhance patient experiences, while reducing use of acute care services and the accompanying cost and burden.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Effect of a Mobile App for the Pharmacotherapeutic Follow-Up of Patients With Cancer on Their Health Outcomes: Quasi-Experimental Study

Background

Oral antineoplastic agents (OAAs) have revolutionized cancer management. However, they have been reported with adverse side effects and drug-drug interactions. Moreover, patient adherence to OAA treatment is critical. Mobile apps can enable remote and real-time pharmacotherapeutic monitoring of patients, while also promoting patient autonomy in their health care.

Objective

The primary objective was to analyze the effect of using a mobile app for the follow-up of patients with oncohematological malignancies undergoing treatment with OAAs on their health outcomes. The secondary objectives were to analyze the role of the app in communication with health care professionals and patient satisfaction with the app.

Methods

We performed a comparative, quasi-experimental study based on a prepost intervention with 101 patients (control group, n=51, traditional pharmacotherapeutic follow-up vs intervention group, n=50, follow-up through e-OncoSalud, a custom-designed app that promotes follow-up at home and the safety of patients receiving OAAs). The effect of this app on drug safety, adherence to treatment, and quality of life was evaluated.

Results

With regard to drug safety, 73% (37/51) of the patients in the control group and 70% (35/50) of the patients in the intervention group (P=.01) presented with drug-related problems. The probability of detecting an insufficiently treated health problem in the intervention group was significantly higher than that in the control group (P=.04). The proportion of patients who presented with side effects in the intervention group was significantly lower than that in the control group (P>.99). In the control group, 49% (25/51) of the patients consumed some health resources during the first 6 months of treatment compared with 36% (18/50) of the patients in the intervention group (P=.76). Adherence to treatment was 97.6% (SD 7.9) in the intervention group, which was significantly higher than that in the control group (92.9% [SD 10.0]; P=.02). The EuroQol-5D in the intervention group yielded a mean (SD) index of 0.875 (0.156), which was significantly higher than that in the control group (0.741 [0.177]; P<.001). Approximately 60% (29/50) of the patients used the messaging module to communicate with pharmacists. The most frequent types of messages were acknowledgments (77/283, 27.2%), doubts about contraindications and interactions with OAAs (70/283, 24.7%), and consultations for adverse reactions to treatment (39/283, 13.8%). The satisfaction with the app survey conducted in the intervention group yielded an overall mean (SD) score of 9.1 (0.4) out of 10.

Conclusions

Use of e-OncoSalud for the real-time follow-up of patients receiving OAAs facilitated the optimization of some health outcomes. The intervention group had significantly higher health-related quality of life and adherence to treatment than the control group. Further, the probability of the intervention group presenting with side effects was significantly lower than that of the control group.

What Do Patients With Non-Small-Cell Lung Cancer Experience? Content Domain for the MD Anderson Symptom Inventory for Lung Cancer

PURPOSE

Symptom monitoring has demonstrated improved outcomes in patients with cancer, including quality of life, resource utilization, ability to continue treatment, and survival. The use of disease-specific patient-reported outcome (PRO) measures facilitates symptom monitoring. While the MD Anderson Symptom Inventory-Lung Cancer (MDASI-LC), a PRO measure of symptom burden in lung cancer, is psychometrically validated for use in patients with NSCLC, its content validity has not been verified through direct patient input. Our purpose is to describe the symptom experience of patients with NSCLC and to confirm that the MDASI-LC contains the key symptoms specific to NSCLC from the patient perspective.

METHODS

Patients with NSCLC described their symptom experience in single qualitative interviews. Content analysis was used to define the content domain for a PRO measure of NSCLC symptom burden.

RESULTS

Participants (N = 40) had a mean age of 66.1 years (standard deviation, 10.9 years); 60.0% were male, 77.5% were White, and 56.4% had stage IV disease. Thirty-two symptoms were described, with 6 reported by ≥ 20% of participants. Symptom variations were noted by treatment modality but not by stage of disease. Patients with NSCLC commonly reported shortness of breath, cough, distress, fatigue, pain, and constipation. In patients receiving chemotherapy, treatment-related symptoms, including neuropathy and sore mouth, were commonly noted. The presence of these symptoms resulted in interference with daily activities, relationships, life plans, treatment adherence, and mood.

CONCLUSION

The symptoms included in the MDASI-LC are important components of the content domain of an NSCLC symptom burden measure. The presence of these symptoms affect daily life and, therefore, is of clinical consequence.

Patient-Oncologist Communication Regarding Oral Chemotherapy During Routine Office Visits

PURPOSE

Although studies in other clinical areas have shown that patient-clinician communication can positively influence adherence to medications, little is known about how oncologists address medication counseling during routine office visits. We describe patient-oncologist office-based discussions of oral chemotherapy treatment.

METHODS

Transcripts of 24 patient-oncologist office visits were obtained from a national database. Patients were aged ≥ 19 years and prescribed capecitabine for colorectal cancer. We developed a structured coding worksheet using medication-counseling concepts previously identified as important to medication adherence and a grounded approach. Two coders reviewed transcripts for oncologists' provision of medication information, assessment of patients' adherence to medication, and the provision of self-management support for management of adverse effects. We assessed interrater reliability with Cohen κ statistics. We describe the counseling concepts present within patient-oncologist conversations and present illustrative quotes to describe how they were discussed.

RESULTS

Oncologists generally provided patients who had yet to initiate therapy comprehensive medication information; those in the midst of treatment received less information. Oncologists discussed patients' continued use of the medication (or discontinuation) among all patients who had initiated therapy (N = 18). How the patient was taking the medication (ie, therapy implementation) was less commonly discussed. Medication adverse effects were also discussed in all encounters. Self-management strategies were commonly provided, albeit mostly in response to a presenting symptom and not preemptively. Patients' use of concurrent medications, financial access to therapy, and assessments of logistical arrangements were discussed more sporadically.

CONCLUSION

Using audio recordings from a national sample of patient-oncologist office visits, we identified several potentially important opportunities to enhance medication counseling among patients prescribed capecitabine for the treatment of colorectal cancer.

Factors driving frequent attendance at emergency departments for patients with head and neck cancer

BACKGROUND

Patients with head and neck cancer have a higher risk of emergency department (ED) frequent attender (FA). We hypothesized that FAs present with issues different from non-FAs.

METHODS

A retrospective cohort study was conducted on Singapore residents with head and neck cancers using de-identified registry merged with electronic medical record data. A competing risk regression analysis was performed to identify factors associated with FA. Aggregated primary diagnoses were compared for patients with and without FA risk factors.

RESULTS

Thirteen percent of patients with head and neck cancer were FAs. FA risk factors were Charlson comorbidity index (3+), and socioeconomic status (SES). FAs had a higher proportion of respiratory infections. The spectrum of diagnosis was similar for patients with low and high SES. Current smokers had a greater proportion of respiratory complaints, relative to never smokers.

CONCLUSION

Patients with greater comorbidity scores or higher SES were more likely to be FA. FAs were more likely to present with respiratory complaints, likely related to cancer treatment, or smoking status.

Critical review of emergency department management of chemotherapy complications in cancer patients

INTRODUCTION

Recent worldwide advances in cancer therapies have resulted in an increased number of people receiving chemotherapy in ambulatory care settings. In Spain, emergency departments are the single point of entry to acute inpatient services and they play a pivotal role in the management of chemotherapy complications. Little research exists in patterns of emergency department utilisation by oncology patients with chemotherapy-related complications. However, it is important for the oncology patients and the healthcare system to gain understanding in the disease pathway and the organisational factors influencing the quality of care.

METHODS

This critical review's main aims were to describe the clinical characteristics of patients who presented to an emergency department after chemotherapy treatment as reported in international literature; to map reported patterns of care in emergency department access; and quality of care exploring the management of febrile neutropenic patients described in the literature, against best practice guidelines.

RESULTS

The search strategy yield 701 articles from MEDLINE, TROVE and SCOPUS and 26 were included. The review combines systematic reviews, observational, cross-sectional case-control studies and randomised control trials.

CONCLUSION

All articles showed areas and opportunities for improvement in the management of this population, especially with regard to time from triage to antibiotic administration in febrile neutropenic patients.

Cancer patients as frequent attenders in emergency departments: A national cohort study

BACKGROUND

Cancer patients contribute significantly to emergency department (ED) utilization. The objective of this study was to identify factors associated with patients becoming ED frequent attenders (FA) after a cancer-related hospitalization.

METHODS

A retrospective cohort study was conducted using national administrative, billing, and death records of Singapore residents discharged alive from Singapore public hospitals from January 2012 to December 2015, with a primary discharge diagnosis of cancer. Patients with four or more ED visits within any 12-month period after discharge from their index hospitalization were classified as FA. Time to FA distribution was estimated using the Kaplan-Meier method, and factors associated with risk of FA were identified using multivariate Cox regression analyses.

RESULTS

Records for 47 235 patients were analyzed, of whom 2980 patients were FA within the study period. Age (<17 years, hazard ratio [HR] 2.92, 95% CI 2.28-3.74; 75-84 years, HR 1.29, 95% CI 1.16-1.45; and ≥85 years, HR 1.71, 95% CI 1.45-2.02, relative to age 55-64), male gender (HR 1.26, 95% CI 1.16-1.37), Charlson comorbidity index (HR 1.21, 95% CI 1.19-1.23), and socioeconomic factors (Medifund use, HR 1.40, 95% CI 1.23-1.59; housing subsidy type, HR 2.12, 95% CI 1.77-2.54) were associated with increased risk of FA. Primary malignancies associated with FA included brain and spine (HR 2.51, 95% CI 1.67-3.75), head and neck cancers (tongue, HR 2.05, 95% CI 1.27-3.31; hypopharynx, HR 2.72, 95% CI 1.56-4.74), lung (trachea and lung, HR 1.57, 95% CI 1.13-2.18; pleural, HR 3.69, 95% CI 2.12-6.34), upper gastrointestinal (stomach, HR 1.93, 95% CI 1.26-2.74; esophagus, HR 4.13, 95% CI 2.78-6.13), hepato-pancreato-biliary (liver, HR 1.42, 95% CI 1.01-2.00, pancreas, HR 2.48, 95% CI 1.72-3.59), and certain hematological malignancies (diffuse non-Hodgkin's lymphoma, HR1.59, 95% CI 1.08-2.33, lymphoid leukemia, HR 1.86, 95% CI 1.21-2.86). Brain (HR 1.69, 95% CI 1.27-2.26), lung (HR 1.31, 95% CI 1.01-1.71), liver (HR 1.46, 95% CI 1.14-1.89), and bone (HR 1.35, 95% CI 1.04-1.76) metastases were also associated with FA.

CONCLUSION

There are cancer-specific factors contributing to ED frequent attendance. Additional resources should be allocated to support high-risk groups and prevent unnecessary ED use.

Exposure to a patient-centered, Web-based intervention for managing cancer symptom and quality of life issues: impact on symptom distress

Background

Effective eHealth interventions can benefit a large number of patients with content intended to support self-care and management of both chronic and acute conditions. Even though usage statistics are easily logged in most eHealth interventions, usage or exposure has rarely been reported in trials, let alone studied in relationship to effectiveness.

Objective

The intent of the study was to evaluate use of a fully automated, Web-based program, the Electronic Self Report Assessment-Cancer (ESRA-C), and how delivery and total use of the intervention may have affected cancer symptom distress.

Methods

Patients at two cancer centers used ESRA-C to self-report symptom and quality of life (SxQOL) issues during therapy. Participants were randomized to ESRA-C assessment only (control) or the ESRA-C intervention delivered via the Internet to patients’ homes or to a tablet at the clinic. The intervention enabled participants to self-monitor SxQOL and receive self-care education and customized coaching on how to report concerns to clinicians. Overall and voluntary intervention use were defined as having ≥2 exposures, and one non-prompted exposure to the intervention, respectively. Factors associated with intervention use were explored with Fisher’s exact test. Propensity score matching was used to select a sample of control participants similar to intervention participants who used the intervention. Analysis of covariance (ANCOVA) was used to compare change in Symptom Distress Scale (SDS-15) scores from pre-treatment to end-of-study by groups in the matched sample.

Results

Radiation oncology participants used the intervention, overall and voluntarily, more than medical oncology and transplant participants. Participants who were working and had more than a high school education voluntarily used the intervention more. The SDS-15 score was reduced by an estimated 1.53 points (P=.01) in the intervention group users compared to the matched control group.

Conclusions

The intended effects of a Web-based, patient-centered intervention on cancer symptom distress were modified by intervention use frequency. Clinical and personal demographics influenced voluntary use.

Trial Registration

Clinicaltrials.gov NCT00852852; http://clinicaltrials.gov/ct2/show/NCT00852852 (Archived by WebCite at http://www.webcitation.org/6YwAfwWl7).

Self-reported adherence to oral cancer therapy: relationships with symptom distress, depression, and personal characteristics

BACKGROUND

Therapeutic cancer chemotherapy is most successful when complete dosing is achieved. Because many newer therapeutic agents are oral and self-administered by the patient, adherence is a concern. The purpose of our analysis was to explore relationships between adherence, patient characteristics, and barriers to adherence.

METHODS

This secondary analysis utilized self-reported data from a randomized trial of self-care management conducted at two cancer centers in the US. Symptom distress was measured using the 15-item Symptom Distress Scale (SDS-15) and depression with the Patient Health Questionnaire-9 (PHQ-9). Adherence to oral medication was self-reported using the 8-item Morisky Medication Adherence Scale (MMAS-8). Measures were collected via Web-based, study-specific software ~8 weeks after treatment start date. Odds of low/medium adherence (score <8) were explored using univariate logistic regression. Given the number of factors and possible relationships among factors, a classification tree was built in lieu of a multivariable logistic regression model.

RESULTS

Of the eligible participants enrolled, 77 were on oral therapy and 70 had an MMAS score. Forty-nine (70%) reported a high adherence score (=8). Higher odds of low/medium adherence were associated with greater symptom distress (P=0.09), more depression (P=0.05), chemotherapy vs hormonal oral medication (P=0.03), being female (P=0.02), and being randomized to the control group in the parent trial (P=0.09). Conversely, high adherence was associated with working (P=0.08), being married/partnered (P=0.004), and being older (P=0.02). Factors identified as significantly related to low/medium adherence from the univariate logistic regression analyses were supported by the classification tree results.

CONCLUSION

Nonadherence to therapeutic oral medications in patients with cancer was associated with being unmarried/unpartnered, symptom distress, younger age, not working, and female sex. These findings may help to identify patients at risk for nonadherence and for whom supportive interventions to enhance adherence may be needed.