Impact of an Interdisciplinary Goals-of-Care Program Among Medical Inpatients at a Comprehensive Cancer Center During the COVID-19 Pandemic: A Propensity Score Analysis

Outcomes of a Multisite Mentored Implementation Approach to Promoting Goals of Care Conversations

CONTEXT

The Preference-Aligned Communication and Treatment (PACT) Project is a multisite quality improvement effort that has been shown to increase the frequency of goals of care (GOC) conversations in hospitalized patients with serious illness.

OBJECTIVES

To evaluate the effect of PACT on goal-discordant care and resource utilization.

METHODS

Hospitals enrolled in a multiyear mentored implementation quality improvement initiative to facilitate GOC conversations for seriously ill hospitalized patients. The primary outcome was the percentage of patients with care discordant with stated preferences, assessed by comparing documented wishes to Medicare claims data for patients who were admitted to intervention units and died over the study period. Secondary outcomes evaluated end-of-life resource utilization by comparing Medicare claims data for intervention patients with propensity score-matched controls.

RESULTS

In the 9 hospitals included in the study, 1347 intervention group patients were compared to 4019 in the control group. Rates of discordance between wishes and care were generally low in the intervention group. Compared to the control group, patients in the intervention group had lower costs (-976.05 dollars, P = 0.010), were less likely to be admitted to the ICU (OR 0.9, P = 0.005), less likely to be on a ventilator or undergo CPR or cardioversion, more likely to enroll in hospice (OR 1.81, P < 0.001) and had a longer hospice stay (3.35 more days, P = 0.041).

CONCLUSION

A multisite mentored implementation quality improvement intervention for seriously ill hospitalized patients resulted in care aligned with goals and decreased resource utilization at the end of life.

Cost of Hospitalization Associated with Inpatient Goals-of-Care Program Implementation at a Comprehensive Cancer Center: A Propensity Score Analysis

The impact of goals-of-care programs on acute hospitalization costs is unclear. We compared the hospitalization cost in an 8-month period before implementation of a multimodal interdisciplinary goals-of-care program (1 May 2019 to 31 December 2019) to an 8-month period after program implementation (1 May 2020 to 31 December 2020). Propensity score weighting was used to adjust for differences in potential covariates. The primary outcome was total direct cost during the hospital stay for each index hospitalization. This analysis included 6977 patients in 2019 and 5964 patients in 2020. The total direct cost decreased by 3% in 2020 but was not statistically significant (ratio 0.97, 95% CI 0.92, 1.03). Under individual categories, there was a significant decrease in medical oncology (ratio 0.58, 95% CI 0.50, 0.68) and pharmacy costs (ratio 0.86, 95% CI 0.79, 0.96), and an increase in room and board (ratio 1.06, 95% CI 1.01, 1.10). In subgroup analysis, ICU patients had a significant reduction in total direct cost after program implementation (ratio 0.83, 95% CI 0.72, 0.94). After accounting for the length of ICU admission, we found that the total direct cost per hospital day was no longer different between 2019 and 2020 (ratio 0.986, 95% CI 0.92, 1.05), suggesting that shorter ICU admissions likely explained much of the observed cost savings. This study provides real-world data on how "in-the-moment" GOC conversations may contribute to reduced hospitalization costs among ICU patients.

Changes in Patterns of Referral for Inpatient Rehabilitation Cancer Patients Due to COVID-19: A Retrospective Study

ABSTRACT

There is a paucity of literature on the effect of COVID-19 on hospital processes. We hypothesized that COVID-19 was associated with decreased cancer physiatry referrals in 2020. This is a retrospective cohort study of consecutive patients from April to July 2019 and 2020 admitted at an academic quaternary cancer center. The main outcomes were number of hospital admissions, rate, and characteristics of inpatient rehabilitation admissions and change in percentage of physiatry referrals as the primary endpoint. Results showed that in 2019, there were 387 referrals from 10,274 inpatient admissions (3.8%; 95% confidence interval, 2.4-4.2), compared with 337 referrals from 7051 admissions in 2020 (4.8%; 95% confidence interval, 4.3-5.3, P = 0.001). Hematology services referred more patients than neurosurgery in 2020 (20.4% vs. 31.4%; 48.2% vs. 26.5%, P = 0.01). Discharge disposition reflected an increased frequency of return to acute care service in 2020 (10.2% vs. 21.8%, P = 0.03). In conclusion, there was an increase in the rate of physiatry referrals despite a decrease in hospital admissions. There was an increase in referrals by hematology, likely due to emphasis on safe discharge and the populations hospitalized.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Implementing a Serious Illness Risk Prediction Model: Impact on Goals of Care Documentation

CONTEXT

Goals of care conversations can promote high value care for patients with serious illness, yet documented discussions infrequently occur in hospital settings.

OBJECTIVES

We sought to develop a quality improvement initiative to improve goals of care documentation for hospitalized patients.

METHODS

Implementation occurred at an academic medical center in Pittsburgh, Pennsylvania. Intervention included integration of a 90-day mortality prediction model grouping patients into low, intermediate, and high risk; a centralized goals of care note; and automated notifications and targeted palliative consults. We compared documented goals of care discussions by risk score before and after implementation.

RESULTS

Of the 12,571 patients hospitalized preimplementation and 10,761 postimplementation, 1% were designated high risk and 11% intermediate risk of mortality. Postimplementation, goals of care documentation increased for high (17.6%-70.8%, P< 0.0001) and intermediate risk patients (9.6%-28.0%, P < 0.0001). For intermediate risk patients, the percentage of goals of care documentation performed by palliative medicine specialists increased from pre- to postimplementation (52.3%-71.2%, P = 0.0002). For high-risk patients, the percentage of goals of care documentation completed by the primary service increased from pre-to postimplementation (36.8%-47.1%, P = 0.5898, with documentation performed by palliative medicine specialists slightly decreasing from pre- to postimplementation (63.2%-52.9%, P = 0.5898).

CONCLUSIONS

Implementation of a goals of care initiative using a mortality prediction model significantly increased goals of care documentation especially among high-risk patients. Further study to assess strategies to increase goals of care documentation for intermediate risk patients is needed especially by nonspecialty palliative care.

Impact of an Institution-Wide Goals of Care Program on the Timing of Referrals to Outpatient Palliative Care

CONTEXT

Palliative care has received increased interest since the COVID-19 pandemic due to its role in guiding goals of care (GOC) discussions.

OBJECTIVES

We assessed the change in the timing of outpatient palliative care referrals before and after implementing an institution-wide multicomponent interdisciplinary GOC (myGOC) program.

METHODS

We reviewed 200 random supportive care center (SCC) consult visits each from June to November 2019 (before myGOC) and June to November 2020 (after myGOC). Data regarding Edmonton Symptom Assessment Scale (ESAS) scores, time from hospital registration to SCC visit, SCC visit until death/last follow-up, and advance care planning (ACP) notes were collected. Kaplan-Meier curves were used to evaluate overall survival (OS).

RESULTS

The median OS from the SCC consult visit was 15.2 months (95% CI:11.7-19.7) before and 14.0 months (95% CI:10.8-17.9) after the myGOC program (P = 0.646). There were no significant differences in the median time between the SCC consult visit to death/last follow-up (11.95 vs. 12.0 months after myGOC; P = 0.841) and the first visits to our cancer center and SCC (6.1 vs. 5.29 months after myGOC; P = 0.689). Patients seen after myGOC had significantly lower ESAS symptom scores, better performance status (2 [1-2] vs. 2 [1-3]; P = 0.018], and more ACP notes composed by medical oncology teams (25.5% vs. 4.5%; P < 0.001).

CONCLUSION

There were no significant differences in OS among patients seen in the SCC before and after myGOC, likely related to a ceiling effect. More oncologists had ACP discussions with patients, and patients had lower symptom scores on ESAS after myGOC, likely indicating that more patients were referred for GOC discussions and ACP rather than for symptom distress.

Advance Care Planning conversations: What constitutes best practice and the way forward: Advance Care Planning-Gespräche: Was Best Practice ausmacht und wie es weitergehen kann

BACKGROUND

Advance Care Planning (ACP) conversations are a cornerstone of modern health care and need to be supported. However, research indicates that the uptake thereof is limited, regardless of various campaigns. ACP conversations are complex and specific elements thereof should be discussed at various timepoints during the illness trajectory.

OBJECTIVE

This narrative review delineates what ACP conversation should entail, and a way forward.

METHODS

A PEO (Population, Exposure, Outcome) search was performed using relevant keywords, and 615 articles were identified. Through screening and coding, this number was reduced to 24 articles. All the authors were involved in the final selection of the articles.

RESULTS

Various themes developed throughout the review which include timing early on in the disease trajectory; incorporating beliefs and culturally relevant contexts; conversations needing to be iterative and short; involving surrogates and family; applying various media formats.

DISCUSSION

ACP conversations are relevant. ACP is not static and needs to be dynamic as patients' illness trajectories and goals change. The care team needs to guard themselves against having ACP conversations to satisfy a metric and should instead be guided by the patient's expressed values and wishes. A system-wide operational plan will help alleviate common barriers in having appropriate ACP conversations.

Leveraging Goals of Care Interventions to Deliver Personalized Care Near the End of Life

This Viewpoint discusses barriers to and opportunities for incorporating goal of care communications into end-of-life care.

Differential Impact of a Multicomponent Goals-of-Care Program in Patients with Hematologic and Solid Malignancies

We recently reported that an interdisciplinary multicomponent goals-of-care (myGOC) program was associated with an improvement in goals-of-care (GOC) documentation and hospital outcomes; however, it is unclear if the benefit was uniform between patients with hematologic malignancies and solid tumors. In this retrospective cohort study, we compared the change in hospital outcomes and GOC documentation before and after myGOC program implementation between patients with hematologic malignancies and solid tumors. We examined the change in outcomes in consecutive medical inpatients before (May 2019-December 2019) and after (May 2020-December 2020) implementation of the myGOC program. The primary outcome was intensive care unit (ICU) mortality. Secondary outcomes included GOC documentation. In total, 5036 (43.4%) patients with hematologic malignancies and 6563 (56.6%) with solid tumors were included. Patients with hematologic malignancies had no significant change in ICU mortality between 2019 and 2020 (26.4% vs. 28.3%), while patients with solid tumors had a significant reduction (32.6% vs. 18.8%) with a significant between-group difference (OR 2.29, 95% CI 1.35, 3.88; p = 0.004). GOC documentation improved significantly in both groups, with greater changes observed in the hematologic group. Despite greater GOC documentation in the hematologic group, ICU mortality only improved in patients with solid tumors.

Changes in dietary habits and weight status during the COVID-19 pandemic and its association with socioeconomic status among Iranians adults

Background

COVID-19 pandemic has impacted human health through sudden lifestyle changes, including isolation at home, and social distancing. Therefore, the current study aimed to investigate the effect of the COVID-19 pandemic on eating habits, weight status, and their associations with socioeconomic status.

Methods

This cross-sectional study was conducted using an online structured questionnaire that inquired demographic, anthropometric (reported weight and height); dietary habits (weekly intake of certain foods); and dietary supplement intake information.

Results

A total of 1,187 participants completed the questionnaire, and after validation of the data, 1,106 respondents were included in the study, with a mean age of 34.5 ± 9.4 years. Our findings showed that the body mass index (BMI) of the participants significantly increased during COVID-19 (P < 0.001). Also, there were significant changes in the intake of a variety of food and beverage during the COVID-19, including less consumption of milk, yogurt, red meat, fish, canned fish, homemade fast foods, take out fast foods, carbonated drinks, and more consumption of whole bread, legumes (chickpeas, lentil, peas, kidney beans, black beans, pinto beans, and navy beans), soy bean, nuts, seeds, high vitamin C vegetables, high vitamin C fruits, green-yellow fruits and vegetables, onion/garlic, dried fruits, natural fruit juices, and water (P < 0.001; for all). It is informed that individuals consumed more vitamin and mineral supplements (P < 0.001). Also, before and during COVID-19 pandemic weekly intakes of dairy, red meat, poultry, high vitamin C fruits, and whole bread were positively associated with socioeconomic status (P < 0.001).

Conclusion

Overall, this study indicates changes in body weight, dietary habits and supplement intake during the pandemic. Therefore, the findings of this study are valuable for, health professionals and politicians to better public health practice and policy making.

Personalizing the Setting of Palliative Care Delivery for Patients with Advanced Cancer: "Care Anywhere, Anytime"

OPINION STATEMENT

The specialty of palliative care has evolved over time to provide symptom management, psychosocial support, and care planning for patients with cancer throughout the disease continuum and in multiple care settings. This review examines the delivery and impact of palliative care in the outpatient, inpatient, and community-based settings. The article will discuss how these 3 palliative care settings can work together to optimize patient outcomes under a unifying model of palliative care "anywhere, anytime" and how to prioritize palliative care services when resources are limited. Many patients with advanced cancer receive care from each of the 3 branches of palliative care-outpatient, inpatient, and community-based settings-at some point along their disease trajectory. Early on, outpatient clinics provide longitudinal supportive care concurrent with active disease-modifying treatments. Telemedicine appointments can serve patients remotely to minimize their need to travel. When patients experience functional decline, community-based palliative care services can provide support and monitoring for patients at home. When patients develop acute symptomatic complications requiring admission, inpatient care consultation teams are essential for symptom management and goals-of-care discussions. For patients in severe distress, receiving care in a palliative care unit that provides intensive symptom control and facilitates complex discharge planning is ideal. Under a unifying model of palliative care designed to offer care "anywhere, anytime," the 3 branches of palliative care could work in unison to support each other, minimize gaps in care, and optimize patient outcomes.