Accurate Prognostic Awareness Facilitates, Whereas Better Quality of Life and More Anxiety Symptoms Hinder End-of-Life Care Discussions: A Longitudinal Survey Study in Terminally Ill Cancer Patients' Last Six Months of Life

Can We Actually Predict Long-Term Patient Satisfaction After Traumatic Brain Injury?

INTRODUCTION

The Traumatic Brain Injury - Patient Reported Outcome (TBI-PRO) model was previously derived to predict long-term patient satisfaction as assessed by the Quality of Life After Brain Injury (QOLIBRI) score. The aim of this study is to externally and prospectively validate the TBI-PRO model to predict long-term patient-reported outcomes and to derive a new model using a larger dataset of older adults with TBI.

METHODS

Patients admitted to a Level I trauma center with TBI were prospectively followed for 1 y after injury. Outcomes predicted by the TBI-PRO model based on admission findings were compared to actual QOLIBRI scores reported by patients at 3,6, and 12 mo. When deriving a new model, Collaborative European NeuroTrauma Effectiveness Research in TBI and the Transforming Research and Clinical Knowledge in Traumatic Brain Injury databases were used to identify older adults (≥50 y) with TBI from 2014 to 2018. Bayesian additive regression trees were used to identify predictive admission covariates. The coefficient of determination was used to identify the fitness of the model.

RESULTS

For prospective validation, a total of 140 patients were assessed at 3 mo, with follow-up from 69 patients at 6 mo and 13 patients at 12 mo postinjury. The area under receiver operating curve of the TBI-PRO model for predicting favorable outcomes at 3, 6, and 12 mo were 0.65, 0.57, and 0.62, respectively. When attempting to derive a novel predictive model, a total of 1521 patients (80%) was used in the derivation dataset while 384 (20%) were used in the validation dataset. A past medical history of heart conditions, initial hospital length of stay, admission systolic blood pressure, age, number of reactive pupils on admission, and the need for craniectomy were most predictive of long-term QOLIBRI-Overall Scale. The coefficient of determination for the validation model including only the most predictive variables were 0.28, 0.19, and 0.27 at 3, 6, and 12 mo, respectively.

CONCLUSIONS

In the present study, the prospective validation of a previously derived TBI-PRO model failed to accurately predict a long-term patient reported outcome measures in TBI. Additionally, the derivation of a novel model in older adults using a larger database showed poor accuracy in predicting long-term health-related quality of life. This study demonstrates limitations to current targeted approaches in TBI care. This study provides a framework for future studies and more targeted datasets looking to assess long-term quality of life based upon early hospital variables and can serve as a starting point for future predictive analysis.

Anxiety and Depression in Metastatic Cancer: A Critical Review of Negative Impacts on Advance Care Planning and End-of-Life Decision Making With Practical Recommendations

PURPOSE

Providers treating adults with advanced cancer increasingly seek to engage patients and surrogates in advance care planning (ACP) and end-of-life (EOL) decision making; however, anxiety and depression may interfere with engagement. The intersection of these two key phenomena is examined among patients with metastatic cancer and their surrogates: the need to prepare for and engage in ACP and EOL decision making and the high prevalence of anxiety and depression.

METHODS

Using a critical review framework, we examine the specific ways that anxiety and depression are likely to affect both ACP and EOL decision making.

RESULTS

The review indicates that depression is associated with reduced compliance with treatment recommendations, and high anxiety may result in avoidance of difficult discussions involved in ACP and EOL decision making. Depression and anxiety are associated with increased decisional regret in the context of cancer treatment decision making, as well as a preference for passive (not active) decision making in an intensive care unit setting. Anxiety about death in patients with advanced cancer is associated with lower rates of completion of an advance directive or discussion of EOL wishes with the oncologist. Patients with advanced cancer and elevated anxiety report higher discordance between wanted versus received life-sustaining treatments, less trust in their physicians, and less comprehension of the information communicated by their physicians.

CONCLUSION

Anxiety and depression are commonly elevated among adults with advanced cancer and health care surrogates, and can result in less engagement and satisfaction with ACP, cancer treatment, and EOL decisions. We offer practical strategies and sample scripts for oncology care providers to use to reduce the effects of anxiety and depression in these contexts.

What outcomes do studies use to measure the impact of prognostication on people with advanced cancer? Findings from a systematic review of quantitative and qualitative studies

BACKGROUND

Studies evaluating the impact of prognostication in advanced cancer patients vary in the outcomes they measure, and there is a lack of consensus about which outcomes are most important.

AIM

To identify outcomes previously reported in prognostic research with people with advanced cancer, as a first step towards constructing a core outcome set for prognostic impact studies.

DESIGN

A systematic review was conducted and analysed in two subsets: one qualitative and one quantitative. (PROSPERO ID: CRD42022320117; 29/03/2022).

DATA SOURCES

Six databases were searched from inception to September 2022. We extracted data describing (1) outcomes used to measure the impact of prognostication and (2) patients' and informal caregivers' experiences and perceptions of prognostication in advanced cancer. We classified findings using the Core Outcome Measures in Effectiveness Trials (COMET) initiative taxonomy, along with a narrative description. We appraised retrieved studies for quality, but quality was not a basis for exclusion.

RESULTS

We identified 42 eligible studies: 32 quantitative, 6 qualitative, 4 mixed methods. We extracted 70 outcomes of prognostication in advanced cancer and organised them into 12 domains: (1) survival; (2) psychiatric outcomes; (3) general outcomes; (4) spiritual/religious/existential functioning/wellbeing, (5) emotional functioning/wellbeing; (6) cognitive functioning; (7) social functioning; (8) global quality of life; (9) delivery of care; (10) perceived health status; (11) personal circumstances; and (12) hospital/hospice use.

CONCLUSION

Outcome reporting and measurement varied markedly across the studies. A standardised approach to outcome reporting in studies of prognosis is necessary to enhance data synthesis, improve clinical practice and better align with stakeholders' priorities.

Evaluating Physician Emotion Regulation in Serious Illness Conversations Using Multimodal Assessment

CONTEXT

Emotion regulation by the physician can influence the effectiveness of serious illness conversations. The feasibility of multimodal assessment of emotion regulation during these conversations is unknown.

OBJECTIVES

To develop and assess an experimental framework for evaluating physician emotion regulation during serious illness conversations.

METHODS

We developed and then assessed a multimodal assessment framework for physician emotion regulation using a cross-sectional, pilot study on physicians trained in the Serious Illness Conversation Guide (SICG) in a simulated, telehealth encounter. Development of the assessment framework included a literature review and subject matter expert consultations. Our predefined feasibility endpoints included: an enrollment rate of ≥60% of approached physicians, >90% completion rate of survey items, and <20% missing data from wearable heart rate sensors. To describe physician emotion regulation, we performed a thematic analysis of the conversation, its documentation, and physician interviews.

RESULTS

Out of 12 physicians approached, 11 (92%) SICG-trained physicians enrolled in the study: five medical oncology and six palliative care physicians. All 11 completed the survey (100% completion rate). Two sensors (chest band, wrist sensor) had <20% missing data during study tasks. The forearm sensor had >20% missing data. The thematic analysis found that physicians': 1) overarching goal was to move beyond prognosis to reasonable hope; 2) tactically focused on establishing a trusting, supportive relationship; and 3) possessed incomplete awareness of their emotion regulation strategies.

CONCLUSION

Our novel, multimodal assessment of physician emotion regulation was feasible in a simulated SICG encounter. Physicians exhibited an incomplete understanding of their emotion regulation strategies.

Clinicians' and Advanced Cancer Patients' Estimates of Treatment Efficacy and Toxicity in Oncologic Treatment

The purpose of the study was to compare curability expectations between clinicians and patients and examine the influence of sociodemographic and clinical variables on these expectations and satisfaction within the clinician-patient relationship. This prospective study, conducted from February 2020 to May 2023, involved 986 advanced cancer patients. The patients completed questionnaires assessing treatment efficacy and toxicity predictions and the Scale to Assess the Therapeutic Relationship (STAR). Seventy-four percent of advanced cancer patients had an inaccurate perception of treatment curability. Clinicians perceived male patients with lung or digestive cancer without adenocarcinoma at locally advanced stages, with fewer comorbidities and better functional status (ECOG), as having higher curability expectations. Clinicians tended to have more realistic expectations than patients, since they had to consider the presence of treatment's side effects, while patients underestimated the possibility of experiencing these adverse effects. Patients who had more favorable expectations regarding survival and quality of life were found to be more satisfied with the care provided by their oncologists. It is crucial for patients to understand the treatment goals and establish realistic expectations in order to actively participate in decision-making and achieve a better quality of life at the end of life.

Cancer Survivors' Experiences With and Preferences for Medical Information Disclosure and Advance Care Planning: An Online Survey Among Indonesian Cancer Support Groups

PURPOSE

To understand the experiences and preferences of Indonesian cancer survivors regarding medical information disclosure and advance care planning.

METHODS

On the basis of systematic reviews of the scientific literature, qualitative studies, and expert-panel input, we developed an online survey that was distributed to nine cancer survivor support groups in Indonesia.

RESULTS

A total of 1,030 valid responses were received. Most participants were younger than 60 years (92%), female (91%), married (78%), Muslim (75%), diagnosed with breast cancer (68%), highly educated (64%), and more than one year beyond diagnosis of their cancer. If diagnosed with a life-limiting illness, participants wished to be informed about their diagnosis (74%), disease severity (61%), estimated curability (81%), expected disease trajectory (66%), and estimated life expectancy (37%). Between 46%-69% of the participants wished to discuss four topics of advance care planning (end-of-life treatments, resuscitation, health care proxies, and what matters at the end of life); 21%-42% had done so. Of those who wished to discuss these topics, 36%-79% preferred to do so with their family members. The most important reasons for not being willing to engage in advance care planning were the desire to surrender to God's will and to focus on here and now.

CONCLUSION

In a group of cancer survivors, most of them were highly educated, young, female, and diagnosed with breast cancer. Their preferences for medical information and advance care planning varied, with the majority wishing for information and involvement in advance care planning. Culturally sensitive advance care planning involves health care professionals eliciting individuals' preferences for medical information disclosure and discussing different topics in advance care planning conversations.

Associations of prognostic-awareness-transition patterns with emotional distress and quality of life during terminally ill cancer patients' last 6 months of life

OBJECTIVE

Unprecedently investigate associations of prognostic-awareness-transition patterns with (changes in) depressive symptoms, anxiety symptoms, and quality of life (QOL) during cancer patients' last 6 months.

METHODS

In this secondary analysis study, 334 cancer patients in their last 6 months transitioned between four prognostic-awareness states (unknown and not wanting to know, unknown but wanting to know, inaccurate awareness, and accurate awareness), thus constituting three transition patterns: maintaining-accurate-, gaining-accurate-, and maintaining-inaccurate/unknown prognostic awareness. A multivariate hierarchical linear model evaluated associations of the transition patterns with depressive symptoms, anxiety symptoms, and QOL determined at final assessment and by mean difference between the first and last assessment.

RESULTS

At the last assessment before death, the gaining-accurate-prognostic-awareness group reported higher levels of depressive symptoms (estimate [95% confidence interval] = 1.59 [0.35-2.84]) and the maintaining- and gaining-accurate-prognostic-awareness groups suffered more anxiety symptoms (1.50 [0.44-2.56]; 1.42 [0.13-2.71], respectively) and poorer QOL (-7.07 [-12.61 to 1.54]; -11.06 [-17.76 to -4.35], respectively) than the maintaining-inaccurate/unknown-prognostic-awareness group. Between the first and last assessment, the maintaining- and gaining-accurate-prognostic-awareness groups' depressive symptoms (1.59 [0.33-2.85]; 3.30 [1.78-4.82], respectively) and QOL (-5.04 [-9.89 to -0.19]; -8.86 [-14.74 to -2.98], respectively) worsened more than the maintaining-inaccurate/unknown-prognostic-awareness group, and the gaining-accurate-prognostic-awareness group's depressive symptoms increased more than the maintaining-accurate-prognostic-awareness group (1.71 [0.42-3.00]).

CONCLUSIONS

Unexpectedly, patients who maintained/gained accurate prognostic awareness suffered more depression, anxiety, and poorer QOL at end of life. Promoting accurate prognostic awareness earlier in the terminal-cancer trajectory should be supplemented with adequate psychological care to alleviate patients' emotional distress and enhance QOL.

TRIAL REGISTRATION

ClinicalTrials.gov:NCT01912846.

Perception of prognosis and health-related quality of life in patients with advanced cancer: results of a multicentre observational study (eQuiPe)

PURPOSE

To assess perception of prognosis in patients with advanced cancer, its association with patient's characteristics and health-related quality of life (HRQoL).

METHODS

In a multicentre observational cohort study (eQuiPe), conducted on patients with advanced cancer, perceived prognosis, coping strategies, and HRQoL were assessed. Clinical data were obtained from the Netherlands Cancer Registry. Patients with vs. without a perception of prognosis, patients who perceived their prognosis as limited (< 1 year) vs. longer (> 1 year), and patients who did not want to know their prognosis vs. those who did not know for other reasons were compared.

RESULTS

Of 1000 patients with advanced cancer, 29% perceived their prognosis as > 1 year, 13% < 1 year, and 4% non-life threatening. Thirty-six percent did not know their prognosis and another 15% did not want to know. Patients without a perception were older, lower educated, coped differently (less accepting, planning, active; more denial), and received treatment more often (p < 0.05). Global QoL was lower in patients with vs. without a perceived prognosis (66 (SD21) vs. 69 (SD19), p = 0.01), specifically in patients who perceived a limited rather than a longer prognosis (57 (SD22) vs. 70 (SD19), p < 0.01). Global QoL of patients who did not want to know their prognosis was comparable to patients who did not know for other reasons (71 (SD19) vs. 69 (SD19), p = 0.22).

CONCLUSION

More than half of the patients with advanced cancer have no perception of their prognosis. Patients with a perceived prognosis have lower HRQoL, but only in patients who perceived their prognosis as limited (< 1 year) and were probably closer to the end of life, which more likely determines their poorer HRQoL, rather than prognostic perception. Ignorance of prognosis is not associated with lower HRQoL, however, should not hamper appropriate palliative care.

Advance care planning in older patients with acute myeloid leukemia and myelodysplastic syndromes

INTRODUCTION

Older patients with acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) have worse survival rates compared to younger patients, and experience more intense inpatient healthcare at the end of life (EOL) compared to patients with solid tumors. Advance care planning (ACP) has been shown to limit aggressive and burdensome care at EOL for patients with AML and MDS. The purpose of this study was to better understand ACP from the perspective of clinicians, older patients with AML and MDS, and their caregivers.

MATERIALS AND METHODS

We conducted semi-structured interviews with 45 study participants. Interviews were audio-recorded and transcribed. Open coding and focused content analysis were used to organize data and develop and contextualize categories and subcategories.

RESULTS

Guided by our specific aims, we developed four themes: (1) The language of ACP and medical order for life-sustaining treatment (MOLST) does not resonate with patients, (2) There is no uniform consensus on when ACP is currently happening, (3) Oncology clinician-perceived barriers to ACP (e.g., patient discomfort, patient lack of knowledge, and lack of time), and (4) Patients felt that they are balancing fear and hope when navigating their AML or MDS diagnosis.

DISCUSSION

The results of this study can be used to develop interventions to promote serious illness conversations for patients with AML and MDS and their caregivers to ensure that patient care aligns with patient values.

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

PURPOSE

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality and facilitate earlier supportive and palliative care for patients with cancer.

METHODS

We trained and validated two-phase ML algorithms that incorporated standard PRO assessments alongside approximately 200 routinely collected EHR variables, among patients with medical oncology encounters at a tertiary academic oncology and a community oncology practice.

RESULTS

Among 12,350 patients, 5,870 (47.5%) completed PRO assessments. Compared with EHR- and PRO-only algorithms, the EHR + PRO model improved predictive performance in both tertiary oncology (EHR + PRO v EHR v PRO: area under the curve [AUC] 0.86 [0.85-0.87] v 0.82 [0.81-0.83] v 0.74 [0.74-0.74]) and community oncology (area under the curve 0.89 [0.88-0.90] v 0.86 [0.85-0.88] v 0.77 [0.76-0.79]) practices.

CONCLUSION

Routinely collected PROs contain added prognostic information not captured by an EHR-based ML mortality risk algorithm. Augmenting an EHR-based algorithm with PROs resulted in a more accurate and clinically relevant model, which can facilitate earlier and targeted supportive care for patients with cancer.

Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach

Background and Objectives

Hospice programs assist people with serious illness and their caregivers with aging in place, avoiding unnecessary hospitalizations, and remaining at home through the end-of-life. While evidence is emerging of the myriad of factors influencing end-of-life care transitions among persons living with dementia, current research is primarily cross- sectional and does not account for the effect that changes over time have on hospice care uptake, access, and equity within dyads.

Research Design and Methods

Secondary data analysis linking the National Health and Aging Trends Study to the National Study of Caregiving investigating important social determinants of health and quality-of-life factors of persons living with dementia and their primary caregivers (n = 117) on hospice utilization over 3 years (2015-2018). We employ cutting-edge machine learning approaches (correlation matrix analysis, principal component analysis, random forest [RF], and information gain ratio [IGR]).

Results

IGR indicators of hospice use include persons living with dementia having diabetes, a regular physician, a good memory rating, not relying on food stamps, not having chewing or swallowing problems, and whether health prevents them from enjoying life (accuracy = 0.685; sensitivity = 0.824; specificity = 0.537; area under the curve (AUC) = 0.743). RF indicates primary caregivers' age, and the person living with dementia's income, census division, number of days help provided by caregiver per month, and whether health prevents them from enjoying life predicts hospice use (accuracy = 0.624; sensitivity = 0.713; specificity = 0.557; AUC = 0.703).

Discussion and Implications

Our exploratory models create a starting point for the future development of precision health approaches that may be integrated into learning health systems that prompt providers with actionable information about who may benefit from discussions around serious illness goals-for-care. Future work is necessary to investigate those not considered in this study-that is, persons living with dementia who do not use hospice care so additional insights can be gathered around barriers to care.

Live well, die well – an international cohort study on experiences, concerns and preferences of patients in the last phase of life: the research protocol of the iLIVE study

Introduction

Adequately addressing the needs of patients at the end of life and their relatives is pivotal in preventing unnecessary suffering and optimising their quality of life. The purpose of the iLIVE study is to contribute to high-quality personalised care at the end of life in different countries and cultures, by investigating the experiences, concerns, preferences and use of care of terminally ill patients and their families.

Methods and analysis

The iLIVE study is an international cohort study in which patients with an estimated life expectancy of 6 months or less are followed up until they die. In total, 2200 patients will be included in 11 countries, that is, 200 per country. In addition, one relative per patient is invited to participate. All participants will be asked to fill in a questionnaire, at baseline and after 4 weeks. If a patient dies within 6 months of follow-up, the relative will be asked to fill in a post-bereavement questionnaire. Healthcare use in the last week of life will be evaluated as well; healthcare staff who attended the patient will be asked to fill in a brief questionnaire to evaluate the care that was provided. Qualitative interviews will be conducted with patients, relatives and healthcare professionals in all countries to gain more in-depth insights.

Ethics and dissemination

The cohort study has been approved by ethics committees and the institutional review boards (IRBs) of participating institutes in all countries. Results will be disseminated through the project website, publications in scientific journals and at conferences. Within the project, there will be a working group focusing on enhancing the engagement of the community at large with the reality of death and dying.

Trial registration number

NCT04271085.

Sufficient Death Preparedness Correlates to Better Mental Health, Quality of Life, and EOL Care

CONTEXT

Patients can prepare for end of life and their forthcoming death to enhance the quality of dying.

OBJECTIVES

We aimed to longitudinally evaluate the never-before-examined associations of cancer patients' death-preparedness states by conjoint cognitive prognostic awareness and emotional preparedness for death with psychological distress, quality of life (QOL), and end-of-life care received.

METHODS

In this cohort study, we simultaneously evaluated associations of four previously identified death-preparedness states (no-death-preparedness, cognitive-death-preparedness-only, emotional-death-preparedness-only, and sufficient-death-preparedness states) with anxiety symptoms, depressive symptoms, and QOL over 383 cancer patients' last six months and end-of-life care received in the last month using multivariate hierarchical linear modeling and logistic regression modeling, respectively. Minimal clinically important differences (MCIDs) have been established for anxiety- (1.3-1.8) and depressive- (1.5-1.7) symptom subscales (0-21 Likert scales).

RESULTS

Patients in the no-death-preparedness and cognitive-death-preparedness-only states reported increases in anxiety symptoms and depressive symptoms that exceed the MCIDs, and a decline in QOL from those in the sufficient-death-preparedness state. Patients in the emotional-death-preparedness-only state were more (OR [95% CI]=2.38 [1.14, 4.97]) and less (OR [95% CI]=0.38 [0.15, 0.94]) likely to receive chemotherapy/immunotherapy and hospice care, respectively, than those in the sufficient-death-preparedness state. Death-preparedness states were not associated with life-sustaining treatments received in the last month.

CONCLUSION

Conjoint cognitive and emotional preparedness for death is associated with cancer patients' lower psychological distress, better QOL, reduced anti-cancer therapy, and increased hospice-care utilization. Facilitating accurate prognostic awareness and emotional preparedness for death is justified when consistent with patient circumstances and preferences.

Coping with glioblastoma: prognostic communication and prognostic understanding among patients with recurrent glioblastoma, caregivers, and oncologists

PURPOSE

Glioblastoma (GBM) is a devastating neuro-oncologic disease with invariably poor prognosis. Despite this, research shows patients have unrealistic perceptions of their prognosis, which may relate in part to communication patterns between patients, caregivers and oncologists. The purpose of this study was to examine communication processes and goals among patients, caregivers, and oncologists to elucidate drivers of prognostic understanding (PU) in the context of recurrent GBM.

METHODS

This was a prospective, multi-center study enrolling adult patients with GBM, caregivers, and oncologists, who independently reported the content of a specific discussion involving the disclosure of GBM recurrence. Communication processes and goals were characterized for each participant, and concordance between all dyads and patient-caregiver-oncologist triads were calculated.

RESULTS

Seventeen patient, caregiver, and oncologist triads were analyzed. At the individual level, three (17.6%) patients and 8 (47.1%) caregivers reported having discussed prognosis during the clinical encounter, as compared to ten oncologists (58.8%). Seven patients (41.2%) and 5 caregivers (29.4%), versus thirteen oncologists (76.5%) reported ever discussing prognosis or life expectancy at previous appointments. Generally, patient-caregiver concordance (i.e., both answered the same) regarding communication goals and processes was low. Triads showed limited concordant responses in discussing curability (n = 5), prognosis (n = 4), end-of-life treatment goals (n = 4), and ever discussing prognosis (n = 3).

CONCLUSION

Patients, caregivers and oncologists had discordant views regarding communication processes and prognostic goals, even when recalling a single discussion. This study highlights the importance of clear and frequent communication about prognosis, and the need for further research on communication and PU in the neuro-oncology setting.

Association Among End-Of-Life Discussions, Cancer Patients' Quality of Life at End of Life, and Bereaved Families' Mental Health

End-of-life discussions are essential for patients with advanced cancer, but there is little evidence about whether these discussions affect general ward patients and family outcomes. We investigated the status of end-of-life discussions and associated factors and their effects on patients' quality of death and their families' mental health. Participants in this retrospective cross-sectional observational study were 119 bereaved family members. Data were collected through a survey that included questions on the timing of end-of-life discussions, quality of palliative care, quality of patient death, and depression and grief felt by the families. Approximately 64% of the bereaved family members participated in end-of-life discussions between the patient and the attending physician, and 55% of these discussions took place within a month before death. End-of-life discussions were associated with the patients' prognostic perception as "incurable, though there is hope for a cure" and "patients' experience with end-of-life discussions with family before cancer." There was a small decrease in depression and grief for families of patients who had end-of-life discussions. Those who did not have end-of-life discussions reported lower quality of end-of-life care.

Advanced Cancer Patients' Prognostic Awareness and Its Association With Anxiety, Depression and Spiritual Well-Being: A Multi-Country Study in Asia

AIMS

The associations between prognostic awareness, acceptance of illness and psychological outcomes (anxiety, depression and spiritual well-being) remain unclear. This study examined the associations between prognostic awareness and various psychological outcomes and how they can be moderated by patient acceptance of illness (cancer).

MATERIALS AND METHODS

In total, 1184 patients with stage IV solid cancer were recruited at major public hospitals across four Asian countries (China, India, Sri Lanka, Vietnam). Prognostic awareness and acceptance of illness were assessed through self-reported understanding of treatment intent and acceptance of illness, respectively. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale, whereas spiritual well-being was measured using the Functional Assessment of Chronic Illness Therapy - Spiritual Well-Being Scale. Multivariate regressions were used to estimate the associations while controlling for patient characteristics.

RESULTS

Compared with being unaware of their prognosis (i.e. believing that their cancer is curable), being aware or unsure of their prognosis was associated with higher anxiety and depressive symptoms, and lower spiritual well-being scores. Acceptance of illness moderated these relationships and improved the psychological outcomes.

CONCLUSIONS

The results suggest that disclosure of prognostic information should be provided in conjunction with psychological interventions that focus on acceptance of illness.

Asian patients' perspectives on advance care planning: A mixed-method systematic review and conceptual framework

BACKGROUND

Asian healthcare professionals hold that patients' families play an essential role in advance care planning.

AIM

To systematically synthesize evidence regarding Asian patients' perspectives on advance care planning and their underlying motives.

DESIGN

Mixed-method systematic review and the development of a conceptual framework (PROSPERO: CRD42018099980).

DATA SOURCES

EMBASE, MEDLINE, Web of Science, and Google Scholar were searched for studies published until July 27, 2020. We included studies concerning seriously-ill Asian patients' perspectives on advance care planning or their underlying motives for engaging or not engaging in it.

RESULTS

Thirty-six articles were included; 22 were quantitative and 27 were from high-income countries. Thirty-nine to ninety percent of Asian patients were willing to engage in advance care planning. Our framework highlighted that this willingness was influenced not only by their knowledge of their disease and of advance care planning, but also by their beliefs regarding: (1) its consequences; (2) whether its concept was in accordance with their faith and their families' or physicians' wishes; and (3) the presence of its barriers. Essential considerations of patients' engagement were their preferences: (1) for being actively engaged or, alternatively, for delegating autonomy to others; (2) the timing, and (3) whether or not the conversations would be documented.

CONCLUSION

The essential first step to engaging patients in advance care planning is to educate them on it and on their diseases. Asian patients' various beliefs about advance care planning should be accommodated, especially their preferences regarding their role in it, its timing, and its documentation.

'I Don't Have a Crystal Ball' - Why Do Doctors Tend to Avoid Prognostication?

Uncertainty, fear to harm the patient, discomfort handling the discussion and lack of time are the most cited barriers to prognostic disclosure. Physicians can be reassured that patients desire the truth about prognosis and can manage the discussion without harm, including the uncertainty of the information, if approached in a sensitive manner. Conversational guides could provide support in preparing such difficult conversations. Communicating 'with realism and hope' is possible, and anxiety is normal for both patients and clinicians during prognostic disclosure. As a clinician pointed out: 'I had asked a mentor once if it ever got easier. - No. But you get better at it.'

Associations Between Prognostic Awareness, Acceptance of Illness, and Psychological and Spiritual Well-being Among Patients With Heart Failure

BACKGROUND

This study aimed to (1) investigate the association of prognostic awareness with psychological (distress level and emotional well-being) and spiritual well-being among patients with heart failure, and (2) assess the main and moderating effects of illness acceptance on the relationship between prognostic awareness and psychological and spiritual well-being.

METHODS AND RESULTS

This study used baseline data of a Singapore cohort of patients with heart failure (N = 245) who had New York Heart Association class 3 or 4 symptoms. Patients reported their awareness of prognosis and extent of illness acceptance. Multivariable linear regressions were used to investigate the associations. Prognostic awareness was not significantly associated with psychological and spiritual well-being. Illness acceptance was associated with lower levels of distress (β [SE] = -0.9 [0.2], P < .001), higher emotional well-being (β [SE] = 2.2 [0.4], P < .001), and higher spiritual well-being (β [SE] = 5.4 [0.7], P < .001). Illness acceptance did not moderate the associations of prognostic awareness with psychological and spiritual well-being.

CONCLUSIONS

This study suggests that illness acceptance could be a key factor in improving patient well-being. Illness acceptance should be regularly assessed and interventions to enhance illness acceptance should be considered for those with poor acceptance.

Patients' Awareness of Advanced Disease Status, Psychological Distress and Quality of Life Among Patients With Advanced Cancer: Results From the APPROACH Study, India

BACKGROUND

Prognostic disclosure to patients with advanced cancer facilitates treatment decisions and goals of care discussions. However, the perspectives of patients, families and physicians differ in this regard across different cultures. Non-disclosure of cancer diagnosis or prognosis is commonly observed in family-centric cultures such as India.

AIM

To assess the prevalence of and factors associated with cancer patients' awareness of advanced disease status; and its with quality of life and psychological distress.

METHODS

Patients for this cross-sectional questionnaire-based survey were recruited from oncology and palliative medicine clinics at a tertiary cancer hospital in India from January 2017 to June 2018. Patients aged ≥ 21 years, aware of cancer diagnosis and receiving oncology treatment for Stage IV solid cancer were included in the study after obtaining written informed consent.

RESULTS

Two hundred patients were enrolled, of which 146 (73%) were not aware of the stage of their malignancy and 9 (4.5%) believed that their disease was at stage I, II or III. Those who were aware of their advanced cancer stage had more years of education (9.9 years vs 8.1 years, p = .05) and had poorer spiritual wellbeing in the faith domain (adjusted difference -1.6, 95% confidence interval -3.1 to -0.1, p = .03) compared to those who were unaware.

CONCLUSION

It is recommended that future studies may explore prognostic understanding in Indian patients according to their socio-cultural, spiritual and educational background.

Two-Stage Approaches to Accounting for Patient Heterogeneity in Machine Learning Risk Prediction Models in Oncology

PURPOSE

Machine learning models developed from electronic health records data have been increasingly used to predict risk of mortality for general oncology patients. But these models may have suboptimal performance because of patient heterogeneity. The objective of this work is to develop a new modeling approach to predicting short-term mortality that accounts for heterogeneity across multiple subgroups in the presence of a large number of electronic health record predictors.

METHODS

We proposed a two-stage approach to addressing heterogeneity among oncology patients of different cancer types for predicting their risk of mortality. Structured data were extracted from the University of Pennsylvania Health System for 20,723 patients of 11 cancer types, where 1,340 (6.5%) patients were deceased. We first modeled the overall risk for all patients without differentiating cancer types, as is done in the current practice. We then developed cancer type-specific models using the overall risk score as a predictor along with preselected type-specific predictors. The overall and type-specific models were compared with respect to discrimination using the area under the precision-recall curve (AUPRC) and calibration using the calibration slope. We also proposed metrics that characterize the degree of risk heterogeneity by comparing risk predictors in the overall and type-specific models.

RESULTS

The two-stage modeling resulted in improved calibration and discrimination across all 11 cancer types. The improvement in AUPRC was significant for hematologic malignancies including leukemia, lymphoma, and myeloma. For instance, the AUPRC increased from 0.358 to 0.519 (∆ = 0.161; 95% CI, 0.102 to 0.224) and from 0.299 to 0.354 (∆ = 0.055; 95% CI, 0.009 to 0.107) for leukemia and lymphoma, respectively. For all 11 cancer types, the two-stage approach generated well-calibrated risks. A high degree of heterogeneity between type-specific and overall risk predictors was observed for most cancer types.

CONCLUSION

Our two-stage modeling approach that accounts for cancer type-specific risk heterogeneity has improved calibration and discrimination than a model agnostic to cancer types.

Influencing factors of treatment and prognosis perceptions among advanced cancer patients: a cross-sectional study

PURPOSE

The present study aimed to investigate the status and significantly influencing factors of treatment and prognosis perceptions among advanced cancer patients based on patient-reported outcome.

METHODS

A cross-sectional study was conducted at two tertiary A general hospitals. From June to September 2019, 300 patients were invited and 292 of them participated in this study. Except for 9 invalid questionnaires, 283 pen-paper questionnaires including sociodemographic and clinical characteristics, Chinese Version of Prognosis and Treatment Perception Questionnaire, Herth Hope Index, and Hospital Anxiety and Depression Scale were well completed. Descriptive analysis, Pearson's correlation test, logistic regression analysis, and multiple linear regression analysis were applied for analysis.

RESULTS

One hundred seventy-five (61.8%) advanced cancer patients reported inaccurate treatment perception. Prognosis perception scored 87.9 ± 13.72 indicating a middle level of prognosis perception. Fourteen (4.9%), 138 (48.8%), and 131 (46.3%) patients presented low, middle, and high prognosis perception levels, respectively. In patients, without spouse and religion beliefs, received chemoradiotherapy, diagnosed as cancer equal to or less than 1 year, and higher hope level were inaccurate treatment perception's risk factors. Younger age, longer diagnosis time, higher educational level, less support for medical expenses payment, receiving chemoradiotherapy, and lower hope level but more anxiety and depression symptoms were positive predictors of prognosis perception.

CONCLUSIONS

A majority of advanced cancer patients in this study reported inaccurate treatment and middle level of prognosis perception influencing by objective and subjective factors. Clinical interventions could be developed referring these impacting factors originating from patient-reported outcome.

Prognostic Awareness in Advanced Disease: A Review Update and Concept Analysis

Purpose

Although subjective knowledge about the prognosis of an advanced disease is extremely important for coping and treatment planning, the concept of prognostic awareness (PA) remains inconsistently defined. The aims of the scoping review were to synthesize a definition of PA from the most recent literature, describe preconditions, correlates and consequences, and suggest a conceptual model.

Methods

By using scoping review methodology, we searched the Web of Science and PubMed databases, and included publications, reviews, meta-analyses or guidelines on all physical diagnoses, as well as publications offering a conceptual or an operational definition of PA. The data were analyzed by means of content analysis techniques.

Results

Of the 24 included publications, 21 referred exclusively to cancer, one to patients with hip fractures and two to palliative care in general. The deduced definition of PA comprised the following facets: adequate estimation of chances for recovery, knowledge of limited time to live, adequate estimation of life expectancy, knowledge of therapy goals, and knowledge of the course of the disease. Further content analysis results were mapped graphically and in a detailed table.

Conclusion

There appears to be a lack of theoretical embedding of PA that in turn influences the methods used for empirical investigation. Drawing on a clear conceptual definition, longitudinal or experimental studies would be desirable.

Relationships Between Advanced Cancer Patients' Worry About Dying and Illness Understanding, Treatment Preferences, and Advance Care Planning

CONTEXT

Patients with advanced cancer often worry about dying. Less is known about the role of worry in decision making regarding future care.

OBJECTIVES

To explore relationships between patients' worry about dying and their illness understanding, treatment preferences, and advance care planning (ACP).

METHODS

This cross-sectional study used baseline data from a primary palliative care intervention trial. All participants had metastatic solid tumors. Using patients' response to I worry about dying from the Functional Assessment of Chronic Illness-Palliative Care survey instrument, univariate and multivariate analyses assessed associations with illness understanding, treatment preferences, and ACP.

RESULTS

Of 672 patients, 47% reported worrying about dying not at all, whereas 9.7% worried quite a bit or very much. In regression analysis, compared with patients who reported not worrying about dying, those who reported high levels of worry were more likely to describe themselves as terminally ill (adjusted odds ratio [AOR] = 1.98; 95% CI = 1.10-3.54; P = 0.021) and prefer life-extending therapy over symptom-focused care (AOR = 2.61; 95% CI = 1.30-5.22; P = 0.007). They were less likely to have completed an advance directive (AOR = 0.49; 95% CI = 0.25-0.94; P = 0.032). The same relationships were seen using patients' response to I feel scared about my future from the Herth Hope Index.

CONCLUSION

Patients with advanced cancer who worry about dying are more likely to identify as terminally ill and desire life-extending treatment and are less likely to engage in ACP. Understanding how patients cope with worry and make medical decisions is important in providing quality care to these patients.

A Question Prompt List for Advanced Cancer Patients Promoting Advance Care Planning: A French Randomized Trial

CONTEXT

Advance care planning is essential to enable informed medical decisions to be made and to reduce aggressiveness in end-of-life (EOL) care.

OBJECTIVES

This study aimed to explore whether a question prompt list (QPL) adapted to French language and culture could promote discussions, particularly on prognosis and EOL issues, among advanced cancer patients attending outpatient palliative care (PC) consultations.

METHODS

In this multicenter randomized study, patients assigned to the intervention arm received a QPL to help them prepare for the next consultation one month later. The main inclusion criteria were advanced cancer patients referred to the PC team with an estimated life expectancy of less than one year. The primary endpoint was the number of questions raised, globally and by topic. The secondary objectives were the impact of the QPL on psychological symptoms, quality of life, satisfaction with care, and coping styles at two months.

RESULTS

Patients (n = 71) in the QPL arm asked more questions (mean 21.8 vs. 18.2, P = 0.03) than patients in the control arm (n = 71), particularly on PC (5.6 vs. 3.7, P = 0.012) and EOL issues (2.2 vs. 1, P = 0.018) but not on prognosis (4.3 vs. 3.6, not specified). At two months, there was no change in anxiety, depression, or quality of life in either arm; patient satisfaction with doctors' technical skills was scored higher (P = 0.024), and avoidance coping responses were less frequent (self-distraction, P = 0.015; behavioral disengagement, P = 0.025) in the QPL arm.

CONCLUSION

Questions on PC and EOL issues in outpatient PC consultations were more frequent, and patient satisfaction was better when a QPL was made available before the consultation.

Patient and caregiver agreement on prognosis estimates for older adults with advanced cancer

BACKGROUND

Disagreements between patients and caregivers about treatment benefits, care decisions, and patients' health are associated with increased patient depression as well as increased caregiver anxiety, distress, depression, and burden. Understanding the factors associated with disagreement may inform interventions to improve the aforementioned outcomes.

METHODS

For this analysis, baseline data were obtained from a cluster-randomized geriatric assessment trial that recruited patients aged ≥70 years who had incurable cancer from community oncology practices (University of Rochester Cancer Center 13070; Supriya G. Mohile, principal investigator). Patient and caregiver dyads were asked to estimate the patient's prognosis. Response options were 0 to 6 months, 7 to 12 months, 1 to 2 years, 2 to 5 years, and >5 years. The dependent variable was categorized as exact agreement (reference), patient-reported longer estimate, or caregiver-reported longer estimate. The authors used generalized estimating equations with multinomial distribution to examine the factors associated with patient-caregiver prognostic estimates. Independent variables were selected using the purposeful selection method.

RESULTS

Among 354 dyads (89% of screened patients were enrolled), 26% and 22% of patients and caregivers, respectively, reported a longer estimate. Compared with dyads that were in agreement, patients were more likely to report a longer estimate when they screened positive for polypharmacy (β = 0.81; P = .001), and caregivers reported greater distress (β = 0.12; P = .03). Compared with dyads that were in agreement, caregivers were more likely to report a longer estimate when patients screened positive for polypharmacy (β = 0.82; P = .005) and had lower perceived self-efficacy in interacting with physicians (β = -0.10; P = .008).

CONCLUSIONS

Several patient and caregiver factors were associated with patient-caregiver disagreement about prognostic estimates. Future studies should examine the effects of prognostic disagreement on patient and caregiver outcomes.

Prognostic disclosure and quality of life in palliative care: a systematic review

INTRODUCTION

Prognostic disclosure is an important component of communication in palliative care. Disclosing information on poor prognosis may affect quality of life (QoL) of palliative care patients. However, the effects of prognostic disclosure on QoL across different cultures and countries are unclear.

OBJECTIVE

To review the effects of prognostic disclosure on QoL of palliative care patients.

METHODS

A systematic review was conducted across seven databases (AMED, CINAHL plus, Cochrane Library, Medline (via the PubMed interface), Embase, Scopus and Web of Science). All primary studies, of any design, that explored the effects of prognostic disclosure on QoL of adult palliative care patients were eligible.

RESULTS

A total of 1926 records were screened for eligibility. Twenty-five articles were included (11 cross-sectional, 10 cohort, 3 mixed methods and 1 qualitative study). Studies were conducted in 11 countries. Five studies reported the sources of prognostic disclosure, while 20 studies did not. Emotional QoL was the most reported domain among the studies. The effects of prognostic disclosure on emotional aspects, overall QoL and other domains, including symptoms, physical functions, role functions, social functions and cognitive functions, were inconsistent.

CONCLUSIONS

The effects of prognostic disclosure on QoL across cultures and countries are inconsistent. Cultural differences are not sufficient to explain the effects. Future research is needed to explore the association between prognostic disclosure and QoL, and develop tools to support clinicians to share prognostic information in the most sensitive and supportive way.

Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer

Importance

Machine learning (ML) algorithms can identify patients with cancer at risk of short-term mortality to inform treatment and advance care planning. However, no ML mortality risk prediction algorithm has been prospectively validated in oncology or compared with routinely used prognostic indices.

Objective

To validate an electronic health record-embedded ML algorithm that generated real-time predictions of 180-day mortality risk in a general oncology cohort.

Design, Setting, and Participants

This prognostic study comprised a prospective cohort of patients with outpatient oncology encounters between March 1, 2019, and April 30, 2019. An ML algorithm, trained on retrospective data from a subset of practices, predicted 180-day mortality risk between 4 and 8 days before a patient's encounter. Patient encounters took place in 18 medical or gynecologic oncology practices, including 1 tertiary practice and 17 general oncology practices, within a large US academic health care system. Patients aged 18 years or older with outpatient oncology or hematology and oncology encounters were included in the analysis. Patients were excluded if their appointment was scheduled after weekly predictions were generated and if they were only evaluated in benign hematology, palliative care, or rehabilitation practices.

Exposures

Gradient-boosting ML binary classifier.

Main Outcomes and Measures

The primary outcome was the patients' 180-day mortality from the index encounter. The primary performance metric was the area under the receiver operating characteristic curve (AUC).

Results

Among 24 582 patients, 1022 (4.2%) died within 180 days of their index encounter. Their median (interquartile range) age was 64.6 (53.6-73.2) years, 15 319 (62.3%) were women, 18 015 (76.0%) were White, and 10 658 (43.4%) were seen in the tertiary practice. The AUC was 0.89 (95% CI, 0.88-0.90) for the full cohort. The AUC varied across disease-specific groups within the tertiary practice (AUC ranging from 0.74 to 0.96) but was similar between the tertiary and general oncology practices. At a prespecified 40% mortality risk threshold used to differentiate high- vs low-risk patients, observed 180-day mortality was 45.2% (95% CI, 41.3%-49.1%) in the high-risk group vs 3.1% (95% CI, 2.9%-3.3%) in the low-risk group. Integrating the algorithm into the Eastern Cooperative Oncology Group and Elixhauser comorbidity index-based classifiers resulted in favorable reclassification (net reclassification index, 0.09 [95% CI, 0.04-0.14] and 0.23 [95% CI, 0.20-0.27], respectively).

Conclusions and Relevance

In this prognostic study, an ML algorithm was feasibly integrated into the electronic health record to generate real-time, accurate predictions of short-term mortality for patients with cancer and outperformed routinely used prognostic indices. This algorithm may be used to inform behavioral interventions and prompt earlier conversations about goals of care and end-of-life preferences among patients with cancer.

An Individualized, Interactive, and Advance Care Planning Intervention Promotes Transitions in Prognostic Awareness States Among Terminally Ill Cancer Patients in Their Last Six Months-A Secondary Analysis of a Randomized Controlled Trial

CONTEXT/OBJECTIVES

To examine whether an advance care planning intervention randomized controlled trial facilitates terminally ill cancer patients' transitions to accurate prognostic awareness (PA) and the time spent in the accurate PA state in patients' last six months.

METHODS

Participants (N = 460) were randomized 1:1 to experimental (interactive intervention tailored to participants' readiness for advance care planning/prognostic information) and control (symptom management education) arms with similar formats. PA was categorized into four states: 1) unknown and not wanting to know; 2) unknown but wanting to know; 3) inaccurate awareness; and 4) accurate awareness. Intervention effectiveness in the two outcomes was evaluated by intention-to-treat analysis with multistate Markov modeling (effect size ≥0.2 as minimal clinically important difference).

RESULTS

The final sample constituted 188 and 184 experimental arm and control arm participants who died and were repeatedly assessed, respectively. Experimental arm participants in States 1-3 had a higher probability of shifting to accurate PA (23.0%-35.4% vs. 15.2%-26.2%) than control arm participants, and all effect sizes met the minimal clinically important difference criterion (effect sizes 0.22-0.49). In their last six months, experimental arm participants spent more time in States 3 and 4 (0.18 vs. 0.08 and 2.94 vs. 2.38 months, respectively) but less time in States 1 and 2 (2.70 vs. 3.19 and 0.18 vs. 0.36 months, respectively) (effect sizes 0.11-0.19).

CONCLUSION

Our intervention meaningfully facilitated participants' transition toward accurate PA and more time spent in the accurate PA state (State 4). Our intervention can help health care professionals foster cancer patients' accurate PA earlier in the terminal illness trajectory to make informed end-of-life care decisions tailored to their readiness for prognostic information.

End-of-life care preferences of the general public and recommendations of healthcare providers: a nationwide survey in Japan

BACKGROUND

A better understanding of differences between the preferences of the general public and the recommendations of healthcare providers with regard to end-of-life (EOL) care may facilitate EOL discussion.

METHODS

The aim of this study was to clarify differences between preferences of the general public and recommendations of healthcare providers with regard to treatment, EOL care, and life-sustaining treatment (LST) based on a hypothetical scenario involving a patient with advanced cancer. This study comprised exploratory post-hoc analyses of "The Survey of Public Attitude Towards Medical Care at the End of life", which was a population based, cross-sectional anonymous survey in Japan to investigate public attitudes toward medical care at the end of life. Persons living in Japan over 20 years old were randomly selected nationwide. Physicians, nurses, and care staff were recruited at randomly selected facilities throughout Japan. The general public data from the original study was combined to the data of healthcare providers in order to conduct exploratory post-hoc analyses. The preferences of the general public and recommendations of healthcare providers with regard to EOL care and LST was assessed based on the hypothetical scenario of an advanced cancer patient.

RESULTS

All returned questionnaires were analyzed: 973 from the general public, 1039 from physicians, 1854 from nurses, and 752 from care staff (response rates of 16.2, 23.1, 30.9, and 37.6%, respectively). The proportion of the general public who wanted "chemotherapy or radiation", "ventilation", and "cardiopulmonary resuscitation" was significantly higher than the frequency of these options being recommended by physicians, nurses, and care staff, but the general public preference for "cardiopulmonary resuscitation" was significantly lower than the frequency of its recommendation by care staff.

CONCLUSION

Regarding a hypothetical scenario for advanced cancer, the general public preferred more aggressive treatment and more frequent LST than that recommended by healthcare providers.

Courses of Change in Good Emotional Preparedness for Death and Accurate Prognostic Awareness and Their Associations With Psychological Distress and Quality of Life in Terminally Ill Cancer Patients' Last Year of Life

CONTEXT

Emotional preparedness for death is a distinct but related concept to prognostic awareness (PA). Both allow patients to prepare psychologically and interpersonally for death, but they have primarily been examined in cross-sectional studies.

OBJECTIVES

To 1) explore the courses of change in good emotional preparedness for death and accurate PA and 2) evaluate their associations with severe anxiety symptoms, severe depressive symptoms, and quality of life in cancer patients' last year.

METHODS

For this prospective, longitudinal study, we consecutively recruited 277 terminally ill cancer patients. Aims 1 and 2 were examined by univariate and multivariate generalized estimating equation analyses, respectively.

RESULTS

The prevalence of good emotional preparedness for death was 54.43%-65.85% in the last year, with a significant decrease only 91-180 vs. 181-365 days before death (odds ratio [95% CI] = 0.67 [0.47, 0.97]). Good emotional preparedness for death was associated with a lower likelihood of severe anxiety symptoms (adjusted odds ratio [95% CI] = 0.47 [0.27, 0.79]) and severe depressive symptoms (0.61 [0.39, 0.95]), but not with quality of life (β [95% CI] = 0.49 [-2.13, 3.11]). However, accurate PA improved substantially (55.12%-70.73%) as death approached and accurate PA was positively associated with severe depressive symptoms (2.63 [1.63, 4.25]).

CONCLUSION

Good emotional preparedness for death and accurate PA remained largely stable and improved substantially, respectively, in cancer patients' last year. Both measures were significantly associated with psychological distress. Health care professionals should not only cultivate accurate PA but also promote cancer patients' emotional preparedness for death, which may improve their psychological well-being.

Emotions in the room: common emotional reactions to discussions of poor prognosis and tools to address them

Introduction: Advanced cancer patients often want prognostic information, and discussions of prognosis have been shown to enhance patient understanding of their illness. Such discussions can lead to high-quality, value-consistent care at the end of life, yet they are also often emotionally challenging. Despite how common and normal it is for patients to experience transient emotional distress when receiving 'bad news' about prognosis, emotional responses have been under-addressed in existing literature on prognostic discussions. Areas covered: Drawing upon psychology research, principles of skilled clinical communication, and published approaches to discussions of serious illness, we summarize patients' common emotional reactions and coping strategies. We then provide suggestions for how to respond to them in clinic. Expert opinion: Ultimately, effective management of emotional reactions to bad news may lead to earlier, more frequent, and more transparent discussions of prognosis, thus promoting cancer patients' understanding of, and adjustment to, their illness and improving the quality of their end-of-life care.

Advanced cancer patients' understanding of prognostic information: Applying insights from psychological research

PURPOSE

Informed medical decision-making at the end of life often requires engaging in highly emotional, potentially upsetting discussions about prognosis, while ensuring that patients grasp its personal meaning. Behavioral science offers insights into ways to promote prognostic understanding among patients with advanced cancer.

SUMMARY

In this literature review, we synthesize complementary findings from basic behavioral science and applied clinical research, which suggest that psychological factors can significantly influence both patients' clinical interactions and their prognostic understanding. For example, stress and emotion can affect cognition, which may shape how patients process complex medical information. Additionally, clinicians may be less likely to share prognostic information with distressed patients who, in turn, may be hesitant to ask about their prognosis for fear of the answer. Although traditional approaches for increasing advanced cancer patients' understanding focus on improving information delivery, these efforts may not be sufficient without corresponding interventions that assist patients in managing distress.

CONCLUSIONS

Psychological barriers may limit opportunities for patients to fully understand their prognosis and to receive high quality of end-of-life care that is linked with an accurate understanding of their disease and treatment options. Failure to attend to patients' emotional distress may undermine efforts to improve medical communication. This underscores the importance of increased attention to the psychological factors that impede patients' comprehension of material shared in cancer clinic visits, in order to inform interventions that address patient distress both before and after receiving "bad news." Integrating findings from psychological research into prognostic discussions may not only improve advanced cancer patients' mental health, but may also promote their ability to make informed, value-consistent medical decisions.

An Individualized, Interactive Intervention Promotes Terminally Ill Cancer Patients' Prognostic Awareness and Reduces Cardiopulmonary Resuscitation Received in the Last Month of Life: Secondary Analysis of a Randomized Clinical Trial

CONTEXT/OBJECTIVE

Half of advanced cancer patients do not have accurate prognostic awareness (PA). However, few randomized clinical trials (RCTs) have focused on facilitating patients' PA to reduce their life-sustaining treatments at end of life (EOL). To address these issues, we conducted a double-blinded RCT on terminally ill cancer patients.

METHODS

Experimental-arm participants received an individualized, interactive intervention tailored to their readiness for advanced care planning and prognostic information. Control-arm participants received a symptom-management educational treatment. Effectiveness of our intervention in facilitating accurate PA and reducing life-sustaining treatments received, two secondary RCT outcomes, was evaluated by intention-to-treat analysis using multivariate logistic regression.

RESULTS

Participants (N = 460) were randomly assigned 1:1 to experimental and control arms, each with 215 participants in the final sample. Referring to 151-180 days before death, experimental-arm participants had significantly higher odds of accurate PA than control-arm participants 61-90, 91-120, and 121-150 days before death (adjusted odds ratio [95% CI]: 2.04 [1.16-3.61], 1.94 [1.09-3.45], and 1.93 [1.16-3.21], respectively), but not one to 60 days before death. Experimental-arm participants with accurate PA were significantly less likely than control-arm participants without accurate PA to receive cardiopulmonary resuscitation (CPR) (0.16 [0.03-0.73]), but not less likely to receive intensive care unit care and mechanical ventilation in their last month.

CONCLUSION

Our intervention facilitated cancer patients' accurate PA early in their dying trajectory, reducing the risk of receiving CPR in the last month. Health care professionals should cultivate cancer patients' accurate PA early in the terminal-illness trajectory to allow them sufficient time to make informed EOL-care decisions to reduce CPR at EOL.

Feasibility of a team based prognosis and treatment goal discussion (T-PAT) with women diagnosed with advanced breast cancer

OBJECTIVE

To assess the feasibility of a team-based prognosis and treatment goal discussion for women living with advanced breast cancer.

METHODS

Female patients diagnosed with advanced breast cancer (n = 25) participated in a mixed methods study that evaluated the feasibility and effects of a planned and structured prognosis discussion. Audio analysis of the intervention appointments was conducted to assess intervention feasibility. Patient self-reports of prognosis related beliefs and treatment preferences were compared across intervention and usual care groups.

RESULTS

Most patients found the T-PAT appointment challenging but worthwhile. Intervention uptake by clinicians was good, but some fidelity disruptions were noted. T-PAT participants were more likely to hold realistic beliefs about disease curability after the appointment.

CONCLUSION

Productive prognosis discussions can be delivered effectively by a practice-based clinical team within a semi-structured patient education appointment. It was perceived by patients with advanced breast cancer as both valuable and acceptable. T-PAT clinicians found the intervention easy to deliver.

PRACTICE IMPLICATIONS

Regular implementation of T-PAT may help clinicians' build prognosis discussion communication skills. T-PAT documentation provides valuable information that can be used to tailor ongoing care.