Goals of care documentation by medical oncologists and oncology patient end-of-life care outcomes

Let Us Have the Conversation: Serious Illness Communication in Oncology: Definitions, Barriers, and Successful Approaches

Serious illness communications are crucial elements of care delivery for patients with cancer. High-quality serious illness communications are composed of open, honest discussions between patients, caregivers, and clinicians regarding patient's communication preferences, expected illness trajectory, prognosis, and risks and benefits of any recommended care. High-quality communication ideally starts at the time of a patients' cancer diagnosis, allows space for and response to patient emotions, elicits patients' values and care preferences, and is iterative and longitudinal. When integrated into cancer care, such communication can result in improved patient experiences with their care, care that matches patients' goals, and reduced care intensity at the end of life. Despite national recommendations for routine integration of these communication into cancer care, a minority of patients with cancer receive such communication. In this chapter, we describe elements of high-quality serious illness communication, patient-, clinician-, institution-, and payer-level barriers, and successful strategies that can routinely integrate such communication into cancer care delivery.

Time is of the Essence: Why Goals-of-Care Conversations and Prognosis Documentation Matters in Advanced Cancer Patients in an Integrated Health System

Background: Advanced cancer patients benefit less from aggressive therapies and more from goal-directed palliative management. Early and clearly documented goals-of-care discussions, including end-of-life decision making, are essential in this patient population. Integrated healthcare systems are comprehensive care models associated with improved quality of care and lower mortality compared to other healthcare models. The role of advance care planning within our system is understudied. Methods: Patients 18 years and older with a diagnosis of advanced-stage cancer were identified over a 6-month period. Expert panel review was performed to evaluate medical appropriateness of the selected diagnostic workup and management. The role and extent of care planning was reviewed in association with the clinical context. Results: In a cohort of 82 patients, evidence-based and individualized appropriateness of medical management was found to be consistent for all patients. Eighty-two percent of patients elected for oncologic-based treatment, 5% pursued active surveillance, and 11% did not receive treatment. Seventy-three percent of patients were referred to palliative care. Fifty-six percent of patients had a full goals-of-care conversation documented; yet only 9% of goals-of-care conversations were documented by an oncologist. Prognosis was documented fully for only 22% of patients. At the end of the study period, 43 patients were deceased (52%), further indicating the critical importance of documentation. Conclusions: Within our integrated health system, we found consistent guideline- and patient-directed diagnosis and management, along with frequent integration of palliative care services. Goals-of-care conversation and prognosis documentation, especially by the oncologist, remains an area of needed improvement.

Does small talk with a medical provider affect ChatGPT's medical counsel? Performance of ChatGPT on USMLE with and without distractions

Efforts are being made to improve the time effectiveness of healthcare providers. Artificial intelligence tools can help transcript and summarize physician-patient encounters and produce medical notes and medical recommendations. However, in addition to medical information, discussion between healthcare and patients includes small talk and other information irrelevant to medical concerns. As Large Language Models (LLMs) are predictive models building their response based on the words in the prompts, there is a risk that small talk and irrelevant information may alter the response and the suggestion given. Therefore, this study aims to investigate the impact of medical data mixed with small talk on the accuracy of medical advice provided by ChatGPT. USMLE step 3 questions were used as a model for relevant medical data. We use both multiple-choice and open-ended questions. First, we gathered small talk sentences from human participants using the Mechanical Turk platform. Second, both sets of USLME questions were arranged in a pattern where each sentence from the original questions was followed by a small talk sentence. ChatGPT 3.5 and 4 were asked to answer both sets of questions with and without the small talk sentences. Finally, a board-certified physician analyzed the answers by ChatGPT and compared them to the formal correct answer. The analysis results demonstrate that the ability of ChatGPT-3.5 to answer correctly was impaired when small talk was added to medical data (66.8% vs. 56.6%; p = 0.025). Specifically, for multiple-choice questions (72.1% vs. 68.9%; p = 0.67) and for the open questions (61.5% vs. 44.3%; p = 0.01), respectively. In contrast, small talk phrases did not impair ChatGPT-4 ability in both types of questions (83.6% and 66.2%, respectively). According to these results, ChatGPT-4 seems more accurate than the earlier 3.5 version, and it appears that small talk does not impair its capability to provide medical recommendations. Our results are an important first step in understanding the potential and limitations of utilizing ChatGPT and other LLMs for physician-patient interactions, which include casual conversations.

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.

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.

What Matters Most: The Documented Goals, Values and Motivators of Advanced Cancer Patients

BACKGROUND

Goals of care conversations are essential to delivery of goal concordant care. Infrequent and inconsistent goals of care documentation potentially limit delivery of goal concordant care.

METHODS

At Kaiser Permanente San Francisco Cancer Center, a standardized documentation template was designed and implemented to increase goals of care documentation by oncologists. The centralized, prompt-based template included value clarification of the goals and values of advanced cancer patients beyond treatment preferences. Documented conversations using the template during the initial pilot period were reviewed to characterization the clinical context in which conversations were recorded. Common goals and motivators were also identified.

RESULTS

A total of 178 advanced cancer patients had at least 1 documented conversation by a medical oncologist using the goals of care template. Oncologists consistently documented within the template goals of therapy and motivating factors in decision making. The most frequently documented goals of care were "Avoiding Pain and Suffering," "Physical Independence," and "Living as Long as Possible." The least recorded goal was "Comfort Focused Treatment Only."

CONCLUSIONS

Review of oncologist documented goals of care conversations using a prompt-based template allowed for characterization of the clinical context, therapy goals and motivators of advanced cancer patients. Communication of goals of care conversations by oncologists using a standardized prompt-based template within a centralized location has the potential to improve delivery of goal concordant care.

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.

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.

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

PURPOSE

Many hospitals have established goals-of-care programs in response to the coronavirus disease 2019 pandemic; however, few have reported their outcomes. We examined the impact of a multicomponent interdisciplinary goals-of-care program on intensive care unit (ICU) mortality and hospital outcomes for medical inpatients with cancer.

METHODS

This single-center study with a quasi-experimental design included consecutive adult patients with cancer admitted to medical units at the MD Anderson Cancer Center, TX, during the 8-month preimplementation (May 1, 2019-December 31, 2019) and postimplementation period (May 1, 2020-December 31, 2020). The primary outcome was ICU mortality. Secondary outcomes included ICU length of stay, hospital mortality, and proportion/timing of care plan documentation. Propensity score weighting was used to adjust for differences in potential covariates, including age, sex, cancer diagnosis, race/ethnicity, and Sequential Organ Failure Assessment score.

RESULTS

This study involved 12,941 hospitalized patients with cancer (pre n = 6,977; post n = 5,964) including 1,365 ICU admissions (pre n = 727; post n = 638). After multicomponent goals-of-care program initiation, we observed a significant reduction in ICU mortality (28.2% v 21.9%; change -6.3%, 95% CI, -9.6 to -3.1; P = .0001). We also observed significant decreases in length of ICU stay (mean change -1.4 days, 95% CI, -2.0 to -0.7; P < .0001) and in-hospital mortality (7% v 6.1%, mean change -0.9%, 95% CI, -1.5 to -0.3; P = .004). The proportion of hospitalized patients with an in-hospital do-not-resuscitate order increased significantly from 14.7% to 19.6% after implementation (odds ratio, 1.4; 95% CI, 1.3 to 1.5; P < .0001), and do-not-resuscitate order was established earlier (mean difference -3.0 days, 95% CI, -3.9 to -2.1; P < .0001).

CONCLUSION

This study showed improvement in hospital outcomes and care plan documentation after implementation of a system-wide, multicomponent goals-of-care intervention.