"We're Taking Something So Human and Trying to Digitize": Provider Recommendations for mHealth in Palliative Care

Survivorship in Advanced Lung Cancer: Understanding a New Landscape and Opportunities

People with advanced lung cancer represent a distinct group whose needs remain understudied, especially compared with people diagnosed with limited-stage disease. Fortunately, novel treatments such as tyrosine kinase inhibitors and immune checkpoint inhibitors are leading to significant advances in prognosis and survival, even among those with advanced disease at the time of diagnosis. However, there are known gaps in symptom management, psychosocial and nutritional support, complex care coordination, health behavior coaching, and health care delivery efforts among patients living with advanced lung cancer. Many of these patients would benefit from survivorship and palliative care approaches. In particular, survivorship care may include health care maintenance, treatment of immune-related adverse events and late- or long-term effects, frailty assessment and rehabilitation, and care coordination. Palliative care may be best suited to discuss ongoing symptom management, advanced care planning, and end-of-life considerations, as well as psychosocial well-being. To this end, we share a review of the current status of the palliative and survivorship care infrastructure for patients with advanced lung cancer and provide suggestions across the care continuum for this diverse group of patients and families.

"You Are Not Alone": The Allure and Limitations of Artificial Intelligence in Serious Illness Communication

Artificial intelligence (AI) is changing the way clinicians practice medicine, and recent technological advancements have resulted in consumer-facing products that can respond to users with dynamic and nuanced language. Clinicians typically struggle with serious illness communication, such as delivering news about a poor prognosis. Palliative care clinicians receive extensive training in serious illness communication, but there is a paucity of such highly trained specialists. This article explores the allure of employing AI-powered chatbots to assist nonspecialist clinicians with serious illness communication and highlights the ethical and practical drawbacks. While outsourcing communication to new AI chatbot technologies may be inappropriate, there is a role for AI in training clinicians on effective language to use when discussing serious illness with their patients.

The comprehensiveness and comprehensibility of publicly-available, state-approved advance directive documents

The COVID-19 pandemic has increased attention to end-of-life decision-making and advance care planning. Advance directives (ADs) are documents that express an individual's wishes regarding their medical care if they are incapacitated and may appoint someone to make decisions for them. The purpose of the current study was to evaluate the comprehensiveness and comprehensibility of the widely available state-approved AD documents provided to the public online. Their content was coded using a grounded theory approach, and the reading level of the documents was assessed. Preferences related to important issues, such as pain relief, were commonly included (92.2% of forms), but other issues, such as whether someone would approve of artificial respiration (39.2%) or CPR (35.3%), were less often addressed. The average reading level of the forms (M = grade 7.64; SD = 1.28) was above the recommended 5th grade level. Overall, there was meaningful variability in the comprehensiveness and comprehensibility of AD documents, suggesting incompatibility for those recording their end-of-life preferences across states and the need for future work to increase their user-friendliness and ability to record authentic advance care wishes.

The feasibility, acceptability, and preliminary efficacy of a self-advocacy serious game for women with advanced breast or gynecologic cancer

BACKGROUND

Cancer clinicians and systems aim to provide patient-centered care, but not all patients have the self-advocacy skills necessary to ensure their care reflects their needs and priorities. This study examines the feasibility, acceptability, and preliminary efficacy of a self-advocacy serious game (an educational video game) intervention in women with advanced breast or gynecologic cancer.

METHODS

Women with recently diagnosed (<3 months) metastatic breast or advanced gynecologic cancer were randomized 2:1 to receive a tablet-based serious game (Strong Together) (n = 52) or enhanced care as usual (n = 26). Feasibility was based on recruitment, retention, data completion, and intervention engagement. Acceptability was assessed via a postintervention questionnaire and exit interview. Preliminary efficacy was assessed on the basis of change scores from baseline to 3 and 6 months in self-advocacy (Female Self-Advocacy in Cancer Survivorship Scale) using intention-to-treat analysis.

RESULTS

Seventy-eight women (55.1% with breast cancer; 44.9% with gynecologic cancer) were enrolled. Feasibility was demonstrated by satisfactory recruitment (69% approach-to-consent rate; 93% enroll-to-randomize rate), retention (90% and 86% at 3 and 6 months, respectively; 85% data completion), and intervention engagement (84% completed ≥75% of the game). Participants endorsed the intervention's (75%) and trial's (87%) acceptability. Participants in the intervention group experienced significant improvements in self-advocacy at 3 and 6 months compared to participants in the control group.

CONCLUSIONS

Strong Together is feasible and acceptable among women with advanced breast or gynecologic cancer. This intervention demonstrates promising evidence of clinical efficacy. A future confirmatory trial is warranted to test the efficacy of the intervention for patient and health system outcomes.

Digitisation of patient preferences in palliative care: mobile app prototype

BACKGROUND

Engaging in advance care planning can be emotionally challenging, but gamification and technology are suggested as a potential solution.

OBJECTIVE

Present the development stages of a mobile app prototype to improve quality of life for patients in palliative care.

DESIGN

The study started with a comprehensive literature review to establish a foundation. Subsequently, interviews were conducted to validate the proposed features of the mobile application. Following the development phase, usability tests were conducted to evaluate the overall usability of the mobile application. Furthermore, an oral questionnaire was administered to understand user satisfaction about the implemented features.

RESULTS

A three-phase testing approach was employed based on the chosen user-centred design methodology to obtain the results. Three iterations were conducted, with improvements being made based on feedback and tested in subsequent phases. Despite the added complexity arising from the health status of patients in palliative care, the usability tests and implemented features received positive feedback from both patients and healthcare providers.

CONCLUSION

The research findings have demonstrated the potential of digitisation in enhancing the quality of life for patients in palliative care. This was achieved through the implementation of patient-centred design, personalised care, the inclusion of social chatrooms and facilitating end-of-life discussions.

Technology-Assisted mHealth Caregiver Support to Manage Cancer Patient Symptoms: A Randomized Controlled Trial

CONTEXT

Caregivers managing symptoms of family members with cancer during home hospice care, often feel ill-prepared and need patient care coaching.

OBJECTIVES

This study tested the efficacy of an automated mHealth platform that included caregiver coaching on patient symptom care and nurse notifications of poorly controlled symptoms. The primary outcome was caregiver perception of patients' overall symptom severity throughout hospice care and at weeks one, two, four, and eight. Secondary outcomes compared individual symptom severity.

METHODS

Caregivers (n = 298) were randomly assigned to the Symptom Care at Home (SCH) intervention (n = 144) or usual hospice care (UC) (n = 154). All caregivers placed daily calls to the automated system that assessed the presence and severity of 11 end-of-life patient physical and psychosocial symptoms. SCH caregivers received automated coaching on symptom care based on reported patient symptoms and their severity. Moderate-to-severe symptoms were also relayed to the hospice nurse.

RESULTS

The SCH intervention produced a mean overall symptom reduction benefit, over UC, of 4.89 severity points (95% CI 2.86-6.92) (P < 0.001), with a moderate effect size (d = 0.55). The SCH benefit also occurred at each timepoint (P < 0.001- 0.020). There was a 38% reduction in days reporting moderate-to-severe patient symptoms compared to UC (P < 0.001) with 10/11 symptoms significantly reduced in SCH compared to UC.

CONCLUSION

Automated mHealth symptom reporting by caregivers, paired with tailored caregiver coaching on symptom management and nurse notifications, reduces cancer patients' physical and psychosocial symptoms during home hospice, providing a novel and efficient approach to improving end-of-life care.

Older adults' experiences with using information and communication technology and tech support services in New York City: findings and recommendations for post-pandemic digital pedagogy for older adults

Introduction

Although Information and Communication Technology (ICT) has great potential to help older adults cope with challenges associated with aging, the intended benefits of ICT are not always realized in this population due to access barriers and low digital literacy. During the COVID-19 pandemic, numerous tech support initiatives for older adults got underway. However, evaluation of the effectiveness of these initiatives is less common. This research partnered with a large, multi-service organization in New York City that gave some groups of their clients ICT devices, unlimited broadband, and access to technology training in response to COVID-19 lockdowns. This study investigates older adults' experiences with ICT and ICT support services to better inform the existing and emerging tech support for older adults during and beyond the pandemic.

Methods

Data were obtained from interviewer-administered surveys of 35 older adult recipients of ICT devices, connectivity, and training in New York City. The average age was 74 years (range = 55-90 years). The group was diverse regarding race/ethnicity (Black 29%, Latino 19%, White 43%). All had low incomes. Surveys consisted of multiple-choice items and open-ended responses.

Results

The study found that one size does not fit all when it comes to ICT training and support for older adults. While connection to devices and services and tech support led to a degree of ICT adoption, the newly learned skills did not always lead to expanded device usage. The readily available tech support training and support do not guarantee service utilization, as success with tech services is related to one's pre-existing ICT competence.

Discussion

The study concludes that customized training based on individuals' skills rather than age is needed. Tech support training should start by understanding an individual's interests and incorporate tech education to help users identify a wide range of existing and emerging online services that can meet their needs. Service organizations should consider including an assessment of ICT access, use, and skills into their standard intake protocols to ensure effective service delivery.

Usability and Acceptability of a Palliative Care Mobile Intervention for Older Adults With Heart Failure and Caregivers: Observational Study

BACKGROUND

Heart failure is a leading cause of death among older adults. Digital health can increase access to and awareness of palliative care for patients with advanced heart failure and their caregivers. However, few palliative care digital interventions target heart failure or patients' caregivers, family, and friends, termed here as the social convoy. To address this need, the Social Convoy Palliative Care (Convoy-Pal) mobile intervention was developed to deliver self-management tools and palliative care resources to older adults with advanced heart failure and their social convoys.

OBJECTIVE

The goal of the research was to test the acceptability and usability of Convoy-Pal among older adults with advanced heart failure and their social convoys.

METHODS

Convoy-Pal includes tablet-based and smartwatch tools facilitating self-management and access to palliative care resources. Older adults and social convoy caregivers completed an acceptability and usability interview via Zoom, including open-ended questions and the Mobile Application Rating Scale: User Version (uMARS). Descriptive analysis was conducted to summarize the results of open-ended feedback and self-reported acceptability and usability.

RESULTS

A total of 26 participants (16 older adults and 10 social convoy caregivers) participated in the interview. Overall, the feedback from users was good (uMARS mean 3.96/5 [SD 0.81]). Both older adults and social convoy caregivers scored information provided by Convoy-Pal the highest (mean 4.22 [SD 0.75] and mean 4.21 [SD 0.64], respectively). Aesthetics, functionality, and engagement were also perceived as acceptable (mean >3.5). Open-ended feedback resulted in 5 themes including improvements to goal setting, monitoring tools, daily check-in call feature, portal and mobile app, and convoy assessment.

CONCLUSIONS

Convoy-Pal was perceived as acceptable with good usability among older adults with heart failure and their social convoy caregivers. With good acceptability, Convoy-Pal may ultimately lead to increased access to palliative care resources and facilitate self-management among older adults with heart failure and their social convoy caregivers.

Telemedicine for Surgical Consultations - Pandemic Response or Here to Stay?: A Report of Public Perceptions

OBJECTIVE

This study aims to determine the public's perception of telemedicine surgical consultations, during the COVID-19 pandemic and beyond.

SUMMARY BACKGROUND DATA

With rapid expansion and uptake of telemedicine during the pandemic, many have posited that virtual visits will endure even as in-person visits are reinstated. The public's perception of telemedicine for an initial surgical consultation has not been previously studied.

METHODS

A 43-question survey assessed respondents' attitudes toward telemedicine for initial consultations with surgeons, both in the context of COVID-19 and during "normal circumstances." Participants were recruited through Amazon Mechanical Turk, an online crowd-sourcing marketplace.

RESULTS

Based on 1827 analyzable responses, we found that a majority (86%) of respondents reported being satisfied (either extremely or somewhat) with telemedicine encounters. Interestingly, preference for in-person versus virtual surgical consultation reflected access to care, with preference for telemedicine decreasing from 72% to 33% when COVID-related social distancing ends. Preferences for virtual visits decreased with increasing complexity of the surgical intervention, even during the pandemic. A majority felt that "establishing trust and comfort" was best accomplished in person, and the vast majority felt it was important to meet their surgeons before the day of surgery.

CONCLUSIONS

The public views telemedicine as an acceptable substitute for in-person visits, especially during the pandemic. However, it seems that an in-person interaction is still preferred when possible for surgical consultations. If telemedicine services are to persist beyond social distancing, further exploration of its impact on the patient-surgeon relationship will be needed.

Would people living with epilepsy benefit from palliative care?

Palliative care (PC) is an approach to the care of persons living with serious illness and their families that focuses on improving quality of life and reducing suffering by addressing complex medical symptoms, psychosocial needs, spiritual well-being, and advance care planning. While PC has traditionally been associated with hospice care for persons with cancer, there is now recognition that PC is relevant to many noncancer diagnoses, including neurologic illness, and at multiple points along the illness journey, not just end of life. Despite the recent growth of the field of neuropalliative care there has been scant attention paid to the relevance of PC principles in epilepsy or the potential for PC approaches to improve outcomes for persons living with epilepsy and their families. We believe this has been a significant oversight and that PC may provide a useful framework for addressing the many sources of suffering facing persons living with epilepsy, for engaging patients and families in challenging conversations, and to focus efforts to improve models of care for this population. In this manuscript we review areas of significant unmet needs where a PC approach may improve patient and family-centered outcomes, including complex symptom management, goals of care, advance care planning, psychosocial support for patient and family and spiritual well-being. When relevant we highlight areas where epilepsy patients may have unique PC needs compared to other patient populations and conclude with suggestions for future research, clinical, and educational efforts.

Using Grounded Theory to Inform the Human-Centered Design of Digital Health in Geriatric Palliative Care

CONTEXT

Digital health offers innovative mechanisms to engage in palliative care, yet digital systems are typically designed for individual users, rather than integrating the patient's caregiving "social convoy" (i.e., family members, friends, neighbors, formal caregiving supports) to maximize benefit. As older adults with serious illness increasingly rely on the support of others, there is a need to foster effective integration of the social convoy in digitally supported palliative care.

OBJECTIVES

Conduct a qualitative study examining patient, social convoy, and health care provider perspectives on digital health for palliative care to inform the design of future digital solutions for older adults with serious illness and their social convoy.

METHODS

Grounded theory approach using semi-structured interviews (N = 81) with interprofessional health care providers, older adults with serious illness, and their social convoy participants at home, clinic, or Zoom. Interviews were conducted using question guides relevant to the participant group and audio-recorded for verbatim transcription. Two coders lead the inductive analysis using open and axial coding.

RESULTS

Thematic results aligned with the human-centered design framework, which is a participatory approach to the design process that incorporates multiple user stakeholders to develop health solutions. The human-centered design process and corresponding theme included the following: 1) Empathy: Patient, Caregiver, and Provider Experience reports participants' experience with managing serious illness, caregiving, social support, and technology use. 2) Define: Reactions to Evidence-Based Care Concepts and Barriers illustrates participants' perspectives on the domains of palliative care ranging from symptom management to psychosocial-spiritual care. 3) Ideation: Desired Features reports participant recommendations for designing digital health tools for palliative care domains.

CONCLUSION

Digital health provides an opportunity to expand the reach of geriatric palliative care interventions. This paper documents human-centered preferences of geriatric palliative care digital health to ensure technologies are relevant and meaningful to health care providers, patients, and the caregiving social convoy.

"I Like the Idea of It…But Probably Wouldn't Use It" - Health Care Provider Perspectives on Heart Failure mHealth: Qualitative Study

BACKGROUND

Many mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data.

OBJECTIVE

We aim to capture health care providers' perceived value of HF mHealth, particularly for pairing patient-caregiver-generated data with clinical intervention to inform the design of future HF mHealth.

METHODS

This study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions.

RESULTS

A total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes.

CONCLUSIONS

The use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach

Background

Inadequately managed pain is a serious problem for patients with cancer and those who care for them. Smart health systems can help with remote symptom monitoring and management, but they must be designed with meaningful end-user input.

Objective

This study aims to understand the experience of managing cancer pain at home from the perspective of both patients and family caregivers to inform design of the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C) smart health system.

Methods

This was a descriptive pilot study using a multimethod approach. Dyads of patients with cancer and difficult pain and their primary family caregivers were recruited from an outpatient oncology clinic. The participant interviews consisted of (1) open-ended questions to explore the overall experience of cancer pain at home, (2) ranking of variables on a Likert-type scale (0, no impact; 5, most impact) that may influence cancer pain at home, and (3) feedback regarding BESI-C system prototypes. Qualitative data were analyzed using a descriptive approach to identity patterns and key themes. Quantitative data were analyzed using SPSS; basic descriptive statistics and independent sample t tests were run.

Results

Our sample (n=22; 10 patient-caregiver dyads and 2 patients) uniformly described the experience of managing cancer pain at home as stressful and difficult. Key themes included (1) unpredictability of pain episodes; (2) impact of pain on daily life, especially the negative impact on sleep, activity, and social interactions; and (3) concerns regarding medications. Overall, taking pain medication was rated as the category with the highest impact on a patient’s pain (=4.79), followed by the categories of wellness (=3.60; sleep quality and quantity, physical activity, mood and oral intake) and interaction (=2.69; busyness of home, social or interpersonal interactions, physical closeness or proximity to others, and emotional closeness and connection to others). The category related to environmental factors (temperature, humidity, noise, and light) was rated with the lowest overall impact (=2.51). Patients and family caregivers expressed receptivity to the concept of BESI-C and reported a preference for using a wearable sensor (smart watch) to capture data related to the abrupt onset of difficult cancer pain.

Conclusions

Smart health systems to support cancer pain management should (1) account for the experience of both the patient and the caregiver, (2) prioritize passive monitoring of physiological and environmental variables to reduce burden, and (3) include functionality that can monitor and track medication intake and efficacy; wellness variables, such as sleep quality and quantity, physical activity, mood, and oral intake; and levels of social interaction and engagement. Systems must consider privacy and data sharing concerns and incorporate feasible strategies to capture and characterize rapid-onset symptoms.