PROutine: a feasibility study assessing surveillance of electronic patient reported outcomes and adherence via smartphone app in advanced cancer

App-based assessment of patient-reported outcomes in the Molecular Tumor Board in the Center for Personalized Medicine-(TRACE)

Background

Biomarker-based therapies are increasingly used in cancer patients outside clinical trials. Systematic assessment of patient-reported outcomes (PRO) is warranted to take patients' perspectives during biomarker-based therapies into consideration. We assessed the feasibility of an electronic PRO assessment via a smartphone application.

Methods

An interdisciplinary expert panel developed a smartphone application based on symptom burden and health-related quality of life (HRQoL) metrics reported in a retrospective analysis of 292 neuro-oncological patients. The app included validated assessments of health-related quality of life (HRQoL), the burden of symptoms, and psychological stress. Feasibility and usability were tested in a pilot study. Semi-structured interviews with patients and health care professionals (HCP) were conducted, transcribed, and analyzed according to Mayring´s qualitative content analysis. Furthermore, we assessed compliance and descriptive data of ePROs.

Results

A total of 14 patients have been enrolled, (9 female, 5 male). A total of 4 HCPs, 9 patients, and 1 caregiver were interviewed regarding usability/feasibility. The main advantages were the possibility to complete questionnaires at home and comfortable implementation in daily life. Compliance was high, for example, 82% of the weekly distributed NCCN distress thermometer questionnaires were answered on time, however, with interindividual variability. We observed a median distress score of 5 (range 0-10, 197 results, n = 12, weekly assessed) and a median Global health score of 58.3 according to the EORTC QLQ-C30 instrument (range 16.7-100, 77 results, n = 12, monthly assessed).

Conclusions

This pilot study proved the feasibility and acceptance of the app. We will therefore expand its application during biomarker-guided therapies to enable systematic PRO assessments.

Assessing health outcomes: a systematic review of electronic patient-reported outcomes in oncology

PURPOSE

This study investigates the clinical impact of electronic patient-reported outcome (ePRO) monitoring apps/web interfaces, aimed at symptom-management, in cancer patients undergoing outpatient systemic antineoplastic treatment. Additionally, it explores the advantages offered by these applications, including their functionalities and healthcare team-initiated follow-up programmes.

METHODS

A systematic literature review was conducted using a predefined search strategy in MEDLINE. Inclusion criteria encompassed primary studies assessing symptom burden through at-home ePRO surveys in adult cancer patients receiving outpatient systemic antineoplastic treatment, whenever health outcomes were evaluated. Exclusion criteria excluded telemedicine-based interventions other than ePRO questionnaires and non-primary articles or study protocols. To evaluate the potential bias in the included studies, an exhaustive quality assessment was conducted, as an additional inclusion filter.

RESULTS

Among 246 identified articles, 227 were excluded for non-compliance with inclusion/exclusion criteria. Of the remaining 19 articles, only eight met the rigorous validity assessment and were included for detailed examination and data extraction, presented in attached tables.

CONCLUSION

This review provides compelling evidence of ePRO monitoring's positive clinical impact across diverse cancer settings, encompassing various cancer types, including early and metastatic stages. These systems are crucial in enabling timely interventions and reducing communication barriers, among other functionalities. While areas for future ePRO innovation are identified, the primary limitation lies in comparing clinical outcomes of reviewed articles, due to scale variability and study population heterogeneity. To conclude, our results reaffirm the transformative potential of ePRO apps in oncology and their pivotal role in shaping the future of cancer care.

Telemonitoring of pediatric asthma in outpatient settings: A systematic review

Telemonitoring technologies are rapidly evolving, offering a promising solution for remote monitoring and timely management of asthma acute episodes. We aimed to describe current pediatric asthma telemonitoring technologies. A systematic review was conducted until September 2023 on Medline, Scopus, and Web of Science. We included studies of children (0-18 years) with asthma or recurrent wheezing whose respiratory condition was telemonitored outside the healthcare setting. A narrative synthesis was performed. We identified 40 telemonitoring technologies described in 40 studies. The more frequently used technologies for telemonitoring were mobile applications (n = 21) and web-based systems (n = 14). Telemonitoring duration varied between 2 weeks and 32 months. Data collection included asthma symptoms (n = 30), patient-reported outcome measures (PROMs) (n = 11), spirometry/peak flow readings (n = 20), medication adherence (n = 17), inhaler technique (n = 3), air quality (n = 2), and respiratory sounds (n = 2). Both parents and children were the technology target users in most studies (n = 23). Technology training was reported in 23 studies of which 3 provided ongoing support. Automatic feedback was found in 30 studies, mostly related with asthma control. HCP were involved in data management in 27 studies. Technologies were tested in samples from 4 to 327 children, with most studies including school-aged children and/or adolescents (n = 38) and eight including preschool children. This review provides an overview of existing technologies for the outpatient telemonitoring of pediatric asthma. Specific technologies for preschool children represent a gap in the literature that needs to be specifically addressed in future research.

Telemedicine Plus Standard Care Versus Standard Care Only in Specialized Outpatient Palliative Care: A Randomized Controlled Noninferiority Trial

Background: Patients suffering from incurable diseases are more likely to die in the hospital than at home. Specialized outpatient palliative care (PC) may be able to counteract this tendency. Similarly, potential benefits of telemedicine in health care were scientifically reported. The aim of this research was to compare patients receiving specialized outpatient PC plus telemedicine with those receiving standard specialized outpatient PC only. In this study, telemedicine is assumed to decrease the number of home visits and therefore should not be considered a mere add-on. Methods: This is a randomized controlled noninferiority trial. Recruitment lasted between January 2020 and October 2021. Quality of care was evaluated using the Integrated Palliative Care Outcome Scale (IPOS) at day 0, 7, and 14 after randomization. Change from day 0 to 7 was defined as the primary outcome (noninferiority margin = 4 points). This study was conducted in an urban setting in collaboration with a university hospital and a local specialized outpatient PC service. Results: A total of 196 patients were screened with 34 patients included (18 telemedicine/16 standard care). The mean change in the total score of the IPOS from day 0 to 7 amounted to -1.8 ± 3.9 (telemedicine) versus 1.2 ± 5.7 (standard care). The telemedicine group was statistically not relevantly inferior to the standard care group (t-test for noninferiority, p = 0.005). Conclusions: Although, due to COVID-19, the sample size remained rather small, our findings indicate that telemedical approaches offer a promising and equally effective option to provide specialized outpatient PC. Clinical Trial Registration Number: NCT06054048.

Service Evaluation of MyChristie-MyHealth, an Electronic Patient-Reported Outcome Measure Integrated Into Clinical Cancer Care

PURPOSE

Electronic patient-reported outcome measures (ePROMs) are digitalized health questionnaires used to gauge patients' subjective experience of health and disease. They are becoming prevalent in cancer care and have been linked to a host of benefits including improved survival. MyChristie-MyHealth is the ePROM established at the Christie NHS Foundation Trust in 2019. We conducted an evaluation of this service to understand user experiences, as well as strategies to improve its functioning.

METHODS

Data collection: Patients who had opted never to complete MyChristie-MyHealth (n = 87), and those who had completed at least one (n = 87) were identified. Demographic data included age, sex, ethnicity, postcode, diagnosis, treatment intent, and trial status. Semistructured interviews were held with noncompleters (n = 30) and completers (n = 31) of MyChristie-MyHealth, as well as clinician users (n = 6), covering themes such as accessibility, acceptability and usefulness, and open discourse on ways in which the service could be improved.

RESULTS

Noncompleters of MyChristie-MyHealth were older (median age 72 v 66 years, P = .005), receiving treatment with curative rather than palliative intent (odds ratio [OR], 1.45; P = .045), and less likely to be enrolled on a clinical trial (OR, 0.531; P = .011). They were less likely to own a smartphone (33% v 97%) or have reliable Internet access (45% v 100%). Satisfaction with MyChristie-MyHealth was high in both groups: 93% (n = 29) of completers and 87% (n = 26) noncompleters felt generally happy to complete. Completers of MyChristie-MyHealth wanted their results to be acknowledged by their clinicians. Clinicians wanted results to be displayed in a more user-friendly way.

CONCLUSION

We have broadly characterized noncompleters of the Christie ePROM to identify those in need of extra support or encouragement in the clinic. An action plan resulting from this review has been compiled and will inform the future development of MyChristie-MyHealth.

Implementation of the e-IPOS in Home Palliative Cancer Care: A Quasiexperimental Pilot Study

INTRODUCTION

Electronic patient-reported outcome measures (e-PROMs) offer advantages in palliative cancer care, including rapid completion, improved data quality and direct storage, improving clinical decision-making. The electronic Integrated Palliative Care Outcome Scale (e-IPOS) in this context enables thorough self-assessment by patients, enhancing symptom management and self-reflection of their current situation.

AIM

To evaluate the feasibility of implementing the e-IPOS in home palliative cancer care.

OUTCOMES

The primary outcomes included the enrollment consent rate, study retention rate, e-IPOS completion rate and response completeness, and the number of clinical assessments and interventions performed during home visits. The secondary outcomes were the number of unscheduled visits and patients' perceived quality of life.

DESIGN

A two-group quasiexperimental clinical pilot study. The control group received standard palliative care, the intervention group received standard care along with weekly e-IPOS completion during home visits. Both groups were enrolled for 4 weeks.

SETTING/PARTICIPANTS

Adults with advanced cancer from the home palliative care unit of the Istituto Nazionale dei Tumori of Milan.

RESULTS

Twenty-three patients were enrolled (74.19%), and 20 completed the study (drop-out: 13.04%). 82.5% of the expected e-IPOS responses were received, of which 96.9% were fully complete. In the intervention group, the Wilcoxon test showed an increase in identified needs and documented interventions (P < .05) and a decrease in unscheduled visits (P < .05).

CONCLUSION

It is feasible to recruit people via home palliative care for an e-IPOS implementation study. Future fully powered studies should investigate the feasibility and assess patients' perceptions of its use to better understand its clinical benefits.

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in addressing the complexities of these experiences due to subjectivity and their inability to precisely target the questions asked. In contrast, diary recordings offer a promising solution. They can provide a comprehensive picture of psychological well-being, encompassing both psychological and physiological symptoms. This study explores how using advanced digital technologies, i.e., automatic speech recognition and natural language processing, can efficiently capture patient insights in oncology settings. We introduce the MRAST framework, a simplified way to collect, structure, and understand patient data using questionnaires and diary recordings. The framework was validated in a prospective study with 81 colorectal and 85 breast cancer survivors, of whom 37 were male and 129 were female. Overall, the patients evaluated the solution as well made; they found it easy to use and integrate into their daily routine. The majority (75.3%) of the cancer survivors participating in the study were willing to engage in health monitoring activities using digital wearable devices daily for an extended period. Throughout the study, there was a noticeable increase in the number of participants who perceived the system as having excellent usability. Despite some negative feedback, 44.44% of patients still rated the app's usability as above satisfactory (i.e., 7.9 on 1-10 scale) and the experience with diary recording as above satisfactory (i.e., 7.0 on 1-10 scale). Overall, these findings also underscore the significance of user testing and continuous improvement in enhancing the usability and user acceptance of solutions like the MRAST framework. Overall, the automated extraction of information from diaries represents a pivotal step toward a more patient-centered approach, where healthcare decisions are based on real-world experiences and tailored to individual needs. The potential usefulness of such data is enormous, as it enables better measurement of everyday experiences and opens new avenues for patient-centered care.

Exploring patient perspectives on electronic patient-reported outcome measures in home-based cancer palliative care: A qualitative study

Background

Electronic patient-reported outcomes (ePROMs) enhance symptom management and patients' engagement in palliative cancer care. However, integrating them into this setting brings challenges, including patients' familiarity with technological devices and declining health status. Prioritizing the patient's acceptability and feasibility is crucial for their adoption. However, more knowledge is needed about patients' perspectives on the adoption of ePROMs in the community, especially for home-based palliative care.

Aim

Explore patient viewpoints on utilizing ePROMs for symptom reporting in home-based oncology palliative care.

Design

A qualitative interpretative approach was used to evaluate patients' points of view on using ePROMs in this specific care setting. Semistructured interviews were carried out. Data were analyzed using a reflexive thematic analysis.

Setting/participants

A total of 25 patients receiving oncological home palliative care from the advanced palliative care unit of the Fondazione IRCCS Istituto Nazionale dei Tumori in Milan, Italy, were invited to participate. Twenty interviews were conducted, as five patients declined due to deteriorating health.

Results

Four themes were identified: (1) strategic value of ePROMs and subjective appreciation; (2) enhancing patient centeredness through ePROMs; (3) exploring and addressing concerns about the use of ePROMs and (4) intersecting factors influencing the efficacy of ePROMs.

Conclusion

Despite initial reticence, home palliative care patients consider ePROMs as potentially valuable allies monitoring symptoms, enhancing their quality of life, and amplifying their voices on less explored aspects of care. Continuous dialog between healthcare professionals and patients is crucial for addressing patient skepticism about ePROMs and their impact on the human aspect of care.

Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial

PURPOSE

Routine collection of patient-generated health data (PGHD) may promote earlier recognition of symptomatic and functional decline. This trial assessed the impact of an intervention integrating remote PGHD collection with patient nudges on symptom and functional status understanding between patients with advanced cancer and their oncology team.

METHODS

This three-arm randomized controlled trial was conducted from November 19, 2020, to December 17, 2021, at a large tertiary oncology practice. We enrolled patients with stage IV GI and lung cancers undergoing chemotherapy. Over 6 months, patients in two intervention arms received PROStep-weekly text message-based symptom surveys and passive activity monitoring using a wearable accelerometer. PGHD were summarized in dashboards given to patients' oncology team before appointments. One intervention arm received an additional text-based active choice prompt to discuss worsening symptoms or functional status with their clinician. Control patients did not receive PROStep. The coprimary outcomes patient perceptions of oncology team symptom and functional understanding at 6 months were measured on a 1-5 Likert scale (5 = high understanding).

RESULTS

One hundred eight patients enrolled: 55% male, 81% White, and 77% had GI cancers. Patient-reported clinician understanding did not differ between control and intervention arms for symptoms (4.5 v 4.5; P = .87) or functional status (4.5 v 4.3; P = .31). In the intervention arms, combined patient adherence to weekly symptom reports and daily activity monitoring was 64% and 53%, respectively. Intervention patients in the PROStep versus PROStep + active choice arms reported low burden from wearing the accelerometer (mean burden [standard deviation], 2.7 [1.3] v 2.1 [1.3]; P = .15) and completing surveys (2.1 [1.2] v 1.9 [1.3]; P = .44).

CONCLUSION

Patients receiving PROStep reported high understanding of symptoms and functional status from their oncology team, although this did not differ from controls.

The iBLAD study: patient-reported outcomes in bladder cancer during oncological treatment: a multicenter national randomized controlled trial

BACKGROUND

Patient-reported outcomes (PROs) are getting widely implemented, but little is known of the impact of applying PROs in specific cancer diagnoses. We report the results of a randomized controlled trial (RCT) of the active use of PROs in patients with locally advanced or metastatic bladder cancer (BC) undergoing medical oncological treatment (MOT) with focus on determining the clinical effects of using PROs during chemo- or immunotherapy compared to standard of care.

METHODS

We recruited patients from four departments of oncology from 2019 to 2021. Inclusion criteria were locally advanced or metastatic BC, initiating chemo- or immunotherapy. Patients were randomized 1:1 between answering selected PRO-CTCAE questions electronically once weekly with a built-in alert-algorithm instructing patients of how to handle reported symptoms as a supplement to standard of care for handling of side effects (intervention arm (IA)) vs standard procedure for handling of side effects (control arm (CA)). No real-time alerts were sent to the clinic when PROs exceeded threshold values. Clinicians were prompted to view the completed PROs in the IA at each clinical visit. The co-primary clinical endpoints were hospital admissions and treatment completion rate. Secondary endpoints were overall survival (OS), quality of life (EORTC's QLQ-C30 and QLQ-BLM30) and dose reductions.

RESULTS

228 patients with BC were included, 76% were male. 141 (62%) of the patients had metastatic disease. 51% of patients in the IA completed treatment vs. 56% of patients in the CA, OR 0.83 (95% CI 0.47-1.44, p = 0.51). 41% of patients in the IA experienced hospitalization vs. 32% in the CA, OR 1.48 (95% CI 0.83-2.65, p = 0.17). OS was comparable between the two arms (IA: median 22.3mo (95% CI 17.0-NR) vs. CA: median 23.1mo (95% CI 17.7-NR). Patient and clinician compliance was high throughout the study period (80% vs 94%).

CONCLUSIONS

This RCT did not show an effect of PRO on completion of treatment, hospitalizations or OS for BC patients during MOT despite a high level of patient and clinician compliance. The lack of real-time response to alerts remains the greatest limitation to this study.

A scoping review of mobile apps for use with palliative patients in the context of home care

CONTEXT

Progress in mobile technology, especially the use of applications for mobile devices, can support the process of monitoring patients in palliative care (therapeutics), controlling symptoms, or providing self-care guidelines for the user, namely patients or caregivers.

OBJECTIVES

To map the available knowledge regarding the use of applications for mobile devices to support adult patients in palliative care at home.

METHODS

Literature review, based on the Joanna Briggs Institute model(s) for Scoping Review. All articles published until October 27, 2022, were identified in the electronic databases MEDLINE®, CINAHL®, Psychology and Behavioral Sciences Collection, Cochrane Library, and Scopus using the respective Boolean logical operators and key terms.

RESULTS

A total of 634 articles were identified, and a final 24 studies were included. Eleven mobile device applications were identified, demonstrating different aspects of design, use, and technological development. These have incorporated the most recent technology in their functionalities.

CONCLUSION

Mobile applications can be considered a viable and effective means of monitoring patients in palliative care. However, these applications must go beyond the academic scenario in which they were developed and move toward widespread use in practice, allowing the evaluation of the impact of this "new" intervention modality to understand their effectiveness and the application of best practices.

Barriers and facilitators of electronic patient-reported outcome measures (e-PROMs) for patients in home palliative cancer care: a qualitative study of healthcare professionals' perceptions

BACKGROUND

Patient-reported outcomes in palliative care enable early monitoring and management of symptoms that most impact patients' daily lives; however, there are several barriers to adopting electronic Patient-reported Outcome Measures (e-PROMs) in daily practice. This study explored the experiences of health care professionals (HCPs) regarding potential barriers and facilitators in implementing e-PROMs in palliative cancer care at home.

METHODS

This was a qualitative descriptive study. The data were collected from two focus groups structured according to the conceptual framework of Grol. HCPs involved in home palliative cancer care of Fondazione IRCCS Istituto Nazionale dei Tumori of Milan were enrolled. Data were analyzed using a reflexive thematic analysis.

RESULTS

A total of 245 codes were generated, 171 for the first focus group and 74 for the second focus group. The results were subdivided into subthemes according to Grol's themes: Innovation, Individual professional, Patient, Social context, Organizational context, except Economic Political context. Nine HCPs attended the first focus group, and ten attended the second. According to these participants, e-PROMs could be integrated into clinical practice after adequate training and support of HCPs at all stages of implementation. They identified barriers, especially in the social and organizational contexts, due to the uniqueness of the oncological end-of-life setting and the intangible care interventions, as well as many facilitators for the innovation that these tools bring and for improved communication with the patient and the healthcare team.

CONCLUSIONS

e-PROMs are perceived by HCPs as adding value to patient care and their work; however, barriers remain especially related to the fragility of these patients, the adequacy of technological systems, lack of education, and the risk of low humanization of care.

ePRO symptom follow-up of colorectal cancer patients receiving oxaliplatin-based adjuvant chemotherapy is feasible and enhances the quality of patient care: a prospective multicenter study

PURPOSE

Electronic (e) patient-reported outcomes (PROs) have been shown to improve the quality of life and survival in chemotherapy treated advanced cancer patients. We hypothesized that multidimensional ePRO centered approach could improve symptom management, streamline patient flow, and optimize the use of healthcare resources.

METHODS

In this multicenter trial (NCT04081558), colorectal cancer (CRC) patients receiving oxaliplatin-based chemotherapy as adjuvant or in the first- or second-line setting in advanced disease were included in the prospective ePRO cohort, while a comparative retrospective cohort was collected from the same institutes. The investigated tool consisted of a weekly e-symptom questionnaire integrated to an urgency algorithm and laboratory value interface, which generated semi-automated decision support for chemotherapy cycle prescription and individualized symptom management.

RESULTS

Recruitment to the ePRO cohort occurred 1/2019-1/2021 (n = 43). The comparator group (n = 194) consisted of patients treated in the same institutes 1-7/2017. The analysis was limited to adjuvant treated (n = 36 and n = 35). The feasibility of the ePRO follow-up was good with 98% reporting easy usage and 86% improved care, while health care personnel valued the easy use and logical workflow. In the ePRO cohort, 42% needed a phone call before planned chemotherapy cycles, while this was 100% in the retrospective cohort (p = 1.4e-8). Peripheral sensory neuropathy was detected significantly earlier with ePRO followed (p = 1e-5) but did not translate to earlier dose reduction, delays, or unplanned therapy termination compared to the retrospective cohort.

CONCLUSION

The results suggest that the investigated approach is feasible and streamlines workflow. Earlier symptom detection may improve the quality in cancer care.

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management

Mobile Health (mHealth) has a great potential to enhance the self-management of cancer patients and survivors. Our study aimed to perform a scoping review to evaluate the impact and trends of mobile application-based interventions on adherence and their effects on health outcomes among the cancer population. In addition, we aimed to develop a taxonomy of mobile-app-based interventions to assist app developers and healthcare researchers in creating future mHealth cancer care solutions. Relevant articles were screened from the online databases PubMed, EMBASE, and Scopus, spanning the time period from 1 January 2016 to 31 December 2022. Of the 4135 articles initially identified, 55 were finally selected for the review. In the selected studies, breast cancer was the focus of 20 studies (36%), while mixed cancers were the subject of 23 studies (42%). The studies revealed that the usage rate of mHealth was over 80% in 41 of the 55 studies, with factors such as guided supervision, personalized suggestions, theoretical intervention foundations, and wearable technology enhancing adherence and efficacy. However, cancer progression, technical challenges, and unfamiliarity with devices were common factors that led to dropouts. We also proposed a taxonomy based on diverse theoretical foundations of mHealth interventions, delivery methods, psycho-educational programs, and social platforms. We suggest that future research should investigate, improve, and verify this taxonomy classification to enhance the design and efficacy of mHealth interventions.

The Lübeck Medication Satisfaction Questionnaire—A Novel Measurement Tool for Therapy Satisfaction

Background: Therapy satisfaction is widely considered an important aspect of clinical care. Still, there are currently no freely available questionnaires for its measurement. We developed the Lübeck Medication Satisfaction Questionnaire (LMSQ) for that purpose. Here, we present its content and psychometric properties. Methods: The LMSQ was validated on 86 patients in a single center study. The Kaiser-Meyer-Olkin test, confirmatory factor analysis, covariance analysis, and a test of exact fit were performed. Reliability was tested using Cronbach’s α and McDonald’s ω. The relationship to other patient-reported outcomes was tested using Pearson’s correlation. Results: Confirmatory factors analysis yielded moderate factor loadings with p < 0.001 in all subscales. Reliability was adequate (α = 0.857 and ω = 0.872). Model fitness was excellent in all tests. The LMSQ was positively correlated with medication adherence (r = 0.603, p < 0.001) and most dimensions of health literacy. Conclusions: The LMSQ possesses adequate psychometric properties for its purpose. We recommend further validation in a more diverse patient collective.

Digital Patient-Reported Outcome Measures Assessing Health-Related Quality of Life in Skull Base Diseases-Analysis of Feasibility and Pitfalls Two Years after Implementation

Health-related quality of life (HRQoL) assessment is becoming increasingly important in neurosurgery following the trend toward patient-centered care, especially in the context of skull base diseases. The current study evaluates the systematic assessment of HRQoL using digital patient-reported outcome measures (PROMs) in a tertiary care center specialized in skull base diseases. The methodology and feasibility to conduct digital PROMs using both generic and disease-specific questionnaires were investigated. Infrastructural and patient-specific factors affecting participation and response rates were analyzed. Since August 2020, 158 digital PROMs were implemented in skull base patients presenting for specialized outpatient consultations. Reduced personnel capacity led to significantly fewer PROMs being conducted during the second versus (vs.) the first year after introduction (mean: 0.77 vs. 2.47 per consultation day, p = 0.0002). The mean age of patients not completing vs. those completing long-term assessments was significantly higher (59.90 vs. 54.11 years, p = 0.0136). Follow-up response rates tended to be increased with recent surgery rather than with the wait-and-scan strategy. Our strategy of conducting digital PROMs appears suitable for assessing HRQoL in skull base diseases. The availability of medical personnel for implementation and supervision was essential. Response rates during follow-up tended to be higher both with younger age and after recent surgery.

Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care

Although health care delivery is becoming increasingly digitized, driven by the pursuit of improved access, equity, efficiency, and effectiveness, progress does not appear to be equally distributed across therapeutic areas. Oncology is renowned for leading innovation in research and in care; digital pathology, digital radiology, real-world data, next-generation sequencing, patient-reported outcomes, and precision approaches driven by complex data and biomarkers are hallmarks of the field. However, remote patient monitoring, decentralized approaches to care and research, "hospital at home," and machine learning techniques have yet to be broadly deployed to improve cancer care. In response, the Digital Medicine Society and Moffitt Cancer Center convened a multistakeholder roundtable discussion to bring together leading experts in cancer care and digital innovation. This viewpoint highlights the findings from these discussions, in which experts agreed that digital innovation is lagging in oncology relative to other therapeutic areas. It reports that this lag is most likely attributed to poor articulation of the challenges in cancer care and research best suited to digital solutions, lack of incentives and support, and missing standardized infrastructure to implement digital innovations. It concludes with suggestions for actions needed to bring the promise of digitization to cancer care to improve lives.

Feasibility of electronic patient-reported outcome monitoring and self-management program in aplastic anemia and paroxysmal nocturnal hemoglobinuria-a pilot study (ePRO-AA-PNH)

INTRODUCTION

Electronic patient-reported outcomes (ePRO) are increasingly recognized in health care, as they have been demonstrated to improve patient outcomes in cancer, but have been less studied in rare hematological diseases. The aim of this study was to develop and test the feasibility of an ePRO system specifically customized for aplastic anemia (AA) and paroxysmal nocturnal hemoglobinuria (PNH).

METHODS

After performing a user-centered design evaluation an ePRO system for AA and PNH patients could be customized and the application was tested by patients and their medical teams for 6 months. Symptom-reporting triggered self-management advice for patients and prompts them to contact clinicians in case of severe symptoms, while the medical team received alerts of severe symptoms for patient care.

RESULTS

All nine included patients showed a high adherence rate to the weekly symptom-reporting (72%) and reported high satisfaction. The system was rated high for usage, comprehensibility, and integration into daily life. Most patients (78%) would continue and all would recommend the application to other AA/PNH patients. Technical performance was rarely a barrier and healthcare providers saw ePRO-AA-PNH as a useful supplement, but the lacking integration into the hospital information system was identified as a major barrier to usage.

CONCLUSION

An ePRO system customized for AA and PNH was feasible in terms of adherence, satisfaction, and performance, showing a high potential for these rare conditions in terms of data collection and patient guidance. However, the integration into clinical workflows is crucial for further routine use.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04128943.

Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions

Background

By eliminating the requirement for participants to make frequent visits to research sites, mobile phone applications ("apps") may help to decentralize clinical trials. Apps may also be an effective mechanism for capturing patient-reported outcomes and other endpoints, helping to optimize patient care during and outside of clinical trials.

Objectives

We report on the usability of Digital BioMarkers for Clinical Impact (DigiBioMarC™ (DBM)), a novel smartphone-based app used by cancer patients in conjunction with a wearable device (Apple Watch®). DBM is designed to collect patient-reported outcomes and record physical functions.

Methods

In a fully decentralized "bring-your-own-device" smartphone study, we enrolled 54 cancer patient and caregiver dyads from Kaiser Permanente Northern California (KPNC) from October 2020 through March 2021. Patients used the app for at least 28 days, completed weekly questionnaires about their symptoms, physical functions, and mood, and performed timed physical tasks. Usability was determined through a subset of the Mobile App Rating Scale (MARS), the full System Usability Scale (SUS), the Net Promoter Score (NPS), and semi-structured interviews.

Results

We obtained usability survey data from 50 of 54 patients. Median responses to the selected MARS questions and the mean SUS scores indicated above average usability. The NPS from the semi-structured interviews at the end of the study was 24, indicating a favorable score.

Conclusions

Cancer patients reported above average usability for the DBM app. Qualitative analyses indicated that the app was easy to use and helpful. Future work will emphasize implementing further patient recommendations and evaluating the app's clinical efficacy in multiple settings.

Essential barriers and considerations for the implementation of electronic patient-reported outcome (ePRO) measures in oncological practice: contextualizing the results of a feasibility study with existing literature

Aim

Monitoring electronic patient-reported outcomes (ePRO) can provide various benefits to cancer patients, such as enhanced quality of life, reduction of hospital admissions, and even prolonged survival. Furthermore, ePRO might offer significant benefits to patients under antineoplastic treatment in the context of the current COVID-19 pandemic. However, evidence on feasibility of ePRO in routine cancer care and barriers met in a real-life setting remains limited.

Subject and methods

We conducted a feasibility study among patients diagnosed with multiple myeloma currently under antineoplastic treatment. Patients filled out weekly ePRO questionnaires and were followed up for 6 months. In case of adverse events, an alert was sent to the clinic. We assessed uptake and adherence, as well as subjective perceptions of patients and clinic staff. A semi-structured literature review was conducted to contextualize results.

Results

Eleven patients were recruited and followed up for 6 months. Overall adherence was found at a high level and remained stable throughout the study period. Feedback from patients was positive; however, clinic staff expressed disappointment and frustration, criticising an increase of workload while not perceiving any benefit to the oncological treatment. Both findings were backed by evidence we found in literature.

Conclusions

Implementation of ePRO monitoring to routine cancer treatment seems to be feasible regarding patients' acceptance and compliance. However, integration of the tool into clinical workflow without increasing workload and deterring clinicians proves to be a major challenge.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-022-01767-3.

Artificial intelligence empowered Digital Health Technologies in Cancer Survivorship Care: a scoping review

Objective

The objectives of this systematic review are to describe features and specific application scenarios for current cancer survivorship care services of Artificial intelligence (AI)-driven digital health technologies (DHTs) and to explore the acceptance and briefly evaluate its feasibility in the application process.

Methods

Search for literatures published from 2010 to 2022 on sites MEDLINE, IEEE-Xplor, PubMed, Embase, Cochrane Central Register of Controlled Trials and Scopus systematically. The types of literatures include original research, descriptive study, randomized controlled trial, pilot study, and feasible or acceptable study. The literatures above described current status and effectiveness of digital medical technologies based on AI and used in cancer survivorship care services. Additionally, we use QuADS quality assessment tool to evaluate the quality of literatures included in this review.

Results

43 studies that met the inclusion criteria were analyzed and qualitatively synthesized. The current status and results related to the application of AI-driven DHTs in cancer survivorship care were reviewed. Most of these studies were designed specifically for breast cancer survivors’ care and focused on the areas of recurrence or secondary cancer prediction, clinical decision support, cancer survivability prediction, population or treatment stratified, anti-cancer treatment-induced adverse reaction prediction, and so on. Applying AI-based DHTs to cancer survivors actually has shown some positive outcomes, including increased motivation of patient-reported outcomes (PROs), reduce fatigue and pain levels, improved quality of life, and physical function. However, current research mostly explored the technology development and formation (testing) phases, with limited-scale population, and single-center trial. Therefore, it is not suitable to draw conclusions that the effectiveness of AI-based DHTs in supportive cancer care, as most of applications are still in the early stage of development and feasibility testing.

Conclusions

While digital therapies are promising in the care of cancer patients, more high-quality studies are still needed in the future to demonstrate the effectiveness of digital therapies in cancer care. Studies should explore how to develop uniform standards for measuring patient-related outcomes, ensure the scientific validity of research methods, and emphasize patient and health practitioner involvement in the development and use of technology.

Examining the Feasibility of an Application-Based Patient-Reported Outcome Monitoring for Breast Cancer Patients: A Pretest for the PRO B Study

In preparation for the PRO B study which aims to examine the effects of an app-based intensified patient-reported outcome (PRO) monitoring for metastatic breast cancer patients, prior assessment of its feasibility was carried out. Sixteen breast cancer patients visiting the breast cancer unit at Charité were recruited and downloaded an app connected to an ePRO system. They received electronic questionnaires on two occasions (baseline and the following week) and were subsequently contacted for a semi-structured phone interview for evaluation. Eleven participants answered at least one questionnaire. Some participants did not receive any or only a part of the questionnaires due to technical problems with the app. Participants who completed the evaluation questionnaire (n = 6) were overall satisfied with the weekly PRO questionnaire. All interviewed (n = 11) participants thought it was feasible to answer the PRO questionnaires on a weekly basis for one year, as planned in the PRO B study. The pretest revealed a need for major technical adjustments to the app because push notifications about the receipt of new questionnaires were not displayed on some smartphone models. Due to the low number of participants, generalization of the findings is limited to our specific context and study. Nevertheless, we could conclude that if technical aspects of the app were improved, the PRO B study could be implemented as planned. The ePRO questionnaire was considered feasible and adequate from the patients’ perspectives.

E-HEalth treatment in Long-term Dialysis (E-HELD): study protocol for a multicenter randomized controlled trial evaluating personalized Internet-based cognitive-behavioral therapy in dialysis patients

Background

Kidney failure and dialysis treatment have a large impact on a patient’s life. Patients experience numerous, complex symptoms and usually have multiple comorbid conditions. Despite the multitude of problems, patients often have priorities for improvement of specific aspects of their functioning, which would be helpful for clinicians to become informed of. This highlights a clear need for patient-centered care in this particular patient group, with routine screening as a vital element to timely recognize symptoms and tailored treatment to match individual patients’ needs and priorities. By also providing feedback on patient’s screening results to the patient itself, the patient is empowered to actively take control in one’s mostly uncontrollable disease process. The current paper describes the study design of a multicenter randomized controlled trial evaluating the effectiveness of the “E-HEealth treatment in Long-term Dialysis” (E-HELD) intervention. This therapist-guided Internet-based cognitive-behavioral therapy (ICBT) intervention is focused on and personalized to the myriad of problems that dialysis patients experience and prioritize.

Methods

After a screening procedure on adjustment problems, 130 eligible dialysis patients will be randomized to care as usual or the E-HELD intervention. Patients will complete questionnaires on distress (primary outcome measure), several domains of functioning (e.g., physical, psychological, social), potential predictors and mediators of treatment success, and the cost-effectiveness of the intervention, at baseline, 6-month follow-up, and 12-month follow-up. In addition, to take account of the personalized character of the intervention, the Personalized Priority and Progress Questionnaire (PPPQ) will be administered which is a personalized instrument to identify, prioritize, and monitor individual problems over time.

Discussion

The present study design will provide insight in the effectiveness of tailored ICBT in patients with kidney failure who are treated with dialysis. When proven effective, the screening procedure and the subsequent ICBT intervention could be implemented in routine care to detect, support, and treat patients struggling with adjustment problems.

Trial registration

NL63422.058.17 [Registry ID: METC-LDD]

NL7160 [Netherlands Trial Register; registered on 16 July 2018]

Electronic Patient Symptom Management Program to Support Patients Receiving Cancer Treatment at Home During the COVID-19 Pandemic

OBJECTIVES

Remote patient monitoring became critical for patients receiving cancer treatment during the COVID-19 pandemic. We sought to test feasibility of an electronic patient symptom management program implemented during a pandemic. We collected and analyzed the real-world data to inform practice quality improvement and understand the patient experience.

METHODS

Eligible patients had breast, lung, or ovarian cancers, multiple myeloma, or acute myeloid leukemia and 12 weeks of planned chemotherapy. Patients were notified that a symptom survey with common symptoms derived from the National Cancer Institute's Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events was available to complete using a smart phone, tablet, or computer. Patients recorded their symptoms and results were sent to the provider. Patients received care guidelines for mild/moderate severity symptoms and a phone call from the provider for severe reports.

RESULTS

A total of 282 patients generated > 119 088 data points. Patients completed 2860 of 3248 assigned surveys (88%), and 152 of 282 patients (54%) had symptom reports that generated an immediate notification to the provider. Longitudinal data were analyzed to determine whether previous reports predicted a notification alert and whether symptoms resolved after the alert was addressed.

CONCLUSIONS

An electronic patient symptom management program was implemented in the midst of the COVID-19 pandemic. Enrollment of 282 patients and a high survey completion (88%) demonstrated feasibility/acceptance. Patients reported symptoms at severe levels of 54% of the time and received self-management instructions and provider phone calls that resolved or decreased the severity of the symptom. A standard approach and validated instrument provide opportunities for improving and benchmarking outcomes.

Digital Health Applications in Oncology: An Opportunity to Seize

Digital health advances have transformed many clinical areas including psychiatric and cardiovascular care. However, digital health innovation is relatively nascent in cancer care, which represents the fastest growing area of health-care spending. Opportunities for digital health innovation in oncology include patient-facing technologies that improve patient experience, safety, and patient-clinician interactions; clinician-facing technologies that improve their ability to diagnose pathology and predict adverse events; and quality of care and research infrastructure to improve clinical workflows, documentation, decision support, and clinical trial monitoring. The COVID-19 pandemic and associated shifts of care to the home and community dramatically accelerated the integration of digital health technologies into virtually every aspect of oncology care. However, the pandemic has also exposed potential flaws in the digital health ecosystem, namely in clinical integration strategies; data access, quality, and security; and regulatory oversight and reimbursement for digital health technologies. Stemming from the proceedings of a 2020 workshop convened by the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine, this article summarizes the current state of digital health technologies in medical practice and strategies to improve clinical utility and integration. These recommendations, with calls to action for clinicians, health systems, technology innovators, and policy makers, will facilitate efficient yet safe integration of digital health technologies into cancer care.

Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

Background

Mobile health (mHealth) apps show vast potential in supporting patients and health care systems with the increasing prevalence and economic costs of noncommunicable diseases (NCDs) worldwide. However, despite the availability of evidence-based mHealth apps, a substantial proportion of users do not adhere to them as intended and may consequently not receive treatment. Therefore, understanding the factors that act as barriers to or facilitators of adherence is a fundamental concern in preventing intervention dropouts and increasing the effectiveness of digital health interventions.

Objective

This review aimed to help stakeholders develop more effective digital health interventions by identifying factors influencing the continued use of mHealth apps targeting NCDs. We further derived quantified adherence scores for various health domains to validate the qualitative findings and explore adherence benchmarks.

Methods

A comprehensive systematic literature search (January 2007 to December 2020) was conducted on MEDLINE, Embase, Web of Science, Scopus, and ACM Digital Library. Data on intended use, actual use, and factors influencing adherence were extracted. Intervention-related and patient-related factors with a positive or negative influence on adherence are presented separately for the health domains of NCD self-management, mental health, substance use, nutrition, physical activity, weight loss, multicomponent lifestyle interventions, mindfulness, and other NCDs. Quantified adherence measures, calculated as the ratio between the estimated intended use and actual use, were derived for each study and compared with the qualitative findings.

Results

The literature search yielded 2862 potentially relevant articles, of which 99 (3.46%) were included as part of the inclusion criteria. A total of 4 intervention-related factors indicated positive effects on adherence across all health domains: personalization or tailoring of the content of mHealth apps to the individual needs of the user, reminders in the form of individualized push notifications, user-friendly and technically stable app design, and personal support complementary to the digital intervention. Social and gamification features were also identified as drivers of app adherence across several health domains. A wide variety of patient-related factors such as user characteristics or recruitment channels further affects adherence. The derived adherence scores of the included mHealth apps averaged 56.0% (SD 24.4%).

Conclusions

This study contributes to the scarce scientific evidence on factors that positively or negatively influence adherence to mHealth apps and is the first to quantitatively compare adherence relative to the intended use of various health domains. As underlying studies mostly have a pilot character with short study durations, research on factors influencing adherence to mHealth apps is still limited. To facilitate future research on mHealth app adherence, researchers should clearly outline and justify the app’s intended use; report objective data on actual use relative to the intended use; and, ideally, provide long-term use and retention data.

Patient and clinician nudges to improve symptom management in advanced cancer using patient-generated health data: study protocol for the PROStep randomised controlled trial

INTRODUCTION

Patients with advanced cancers often face significant symptoms from their cancer and adverse effects from cancer-associated therapy. Patient-generated health data (PGHD) are routinely collected information about symptoms and activity levels that patients either directly report or passively record using devices such as wearable accelerometers. The objective of this study was to test the impact of an intervention integrating remote collection of PGHD with clinician and patient nudges to inform communication between patients with advanced cancer and their oncology team regarding symptom burden and functional status.

METHODS AND ANALYSIS

This single-centre prospective randomised controlled trial randomises patients with metastatic gastrointestinal or lung cancers into one of three arms: (A) usual care, (B) an intervention that integrates PGHD (including weekly text-based symptom surveys and passively recorded step counts) into a dashboard delivered to oncology clinicians at each visit and (C) the same intervention as arm B but with an additional text-based active choice intervention to patients to encourage discussing their symptoms with their oncology team. The study will enrol approximately 125 participants. The coprimary outcomes are patient perceptions of their oncology team's understanding of their symptoms and their functional status. Secondary outcomes are intervention utility and adherence.

ETHICS AND DISSEMINATION

This study has been approved by the institutional review board at the University of Pennsylvania. Study results will be disseminated using methods that describe the results in ways that key stakeholders can best understand and implement.

TRIAL REGISTRATION NUMBERS

NCT04616768 and 843 616.

Integrating patient- and caregiver-reported outcome measures into the daily care routines of specialised outpatient palliative care: a qualitative study (ELSAH) on feasibility, acceptability and appropriateness

Background

The use of patient-reported outcome measures (PROM) and caregiver-reported outcome measures can raise the patient centeredness of treatment and improve the quality of palliative care. Nevertheless, the everyday implementation of self-report in patients and caregivers is complex, and should be adapted for use in specific settings. We aimed to implement a set of outcome measures that included patient and caregiver self- and proxy-reported outcome measures in specialised outpatient palliative care (SOPC). In this study, we explore how the Integrated Palliative Outcome Scale (IPOS), IPOS Views on Care (IPOS VoC) and the Short-form Zarit Caregiver Burden Interview (ZBI-7) can be feasibly, acceptably and appropriately implemented in the daily care routines of SOPC.

Methods

Five SOPC teams were trained, and used the outcome measures in daily practice. Team members were mainly nurses and physicians. To investigate their feedback, we used a multi-method qualitative design consisting of focus groups with SOPC-team members (n = 14), field notes of meetings and conversations with the SOPC teams. In an iterative process, we analysed the findings using qualitative content analysis and refined use of the outcome measures.

Results

We found that integrating patient and caregiver outcome measures into daily care routines in SOPC is feasible. To improve feasibility, acceptability and appropriateness, the resulting burden on patients and relatives should be kept to a minimum, the usefulness of the measures must be understood, they should be used considerately, and administration must be manageable. We removed ZBI-7 from the set of measures as a result of feedback on its content and wording.

Conclusions

SOPC-team members have reservations about the implementation of PROM in SOPC, but with appropriate adjustments, its application in daily care is feasible, accepted and perceived as appropriate. Previous to use, SOPC-team members should be trained in how to apply the measures, in the design of manageable processes that include integration into electronic documentation systems, and in ongoing evaluation and support. They should also be taught how useful the measures can be.

Trial registration

May 19th, 2017, German Clinical Trials Register DRKS-ID: DRKS00012421.

How technology can improve communication and health outcomes in patients with advanced cancer: an integrative review

OBJECTIVE

Patients facing an advanced cancer diagnosis require clear communication with their clinicians. Technology has been utilized in many different capacities to navigate communication in cancer care, but few authors examine the specific areas of communication from a theoretical perspective. The purpose of this literature review was to (1) identify articles focused on technology-based communication strategies to improve health outcomes in individuals with advanced cancer, and (2) using Epstein and Street's framework, identify areas in which technology-based communication has been used to improve health outcomes, and (3) identify gaps that exist in technology-based communication care in patients with advanced cancer.

METHODS

A systematic search was conducted which returned 446 articles. Using Epstein and Street's 2007 framework, the final sample was 39.

RESULTS

Nine clinical trials, 29 observational studies, and 1 case study were identified. The articles were categorized into one area within Epstein and Street's areas of communication. Many of the articles examined the patient's and provider's acceptability and feasibility of technology-based methods of communication, while other articles examined their efficacy.

CONCLUSIONS

While research studies were identified in each of the areas of communication, the majority of technology-based communication strategies were focused on the exchange of information between patients and their providers. Further research and the development of technology-based communication interventions assessed through clinical trials are needed in the areas of healing relationships and making decisions in cancer care. Additionally, the communication strategies found effective at improving health outcomes in advanced cancer should begin implementation into clinical practice, therefore reaching more patients.

Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study

BACKGROUND

Developments in digital health have the potential to transform the delivery of health and social care to help citizens manage their health. Currently, there is a lack of consensus about digital health research priorities in palliative care and a lack of theories about how these technologies might improve care outcomes. Therefore, it is important for health care leaders to identify innovations to ensure that an increasingly frail population has appropriate access to palliative care services. Consequently, it is important to articulate research priorities as the first step in determining how finite resources should be allocated to a field saturated with rapidly developing innovation.

OBJECTIVE

The aim of this study is to identify research priority areas for digital health in palliative care.

METHODS

We selected digital health trends, most relevant to palliative care, from a list of emerging trends reported by a leading institute of quantitative futurists. We conducted 2 rounds of the Delphi questionnaire, followed by a consensus meeting and public engagement workshop to establish a final consensus on research priorities for digital technology in palliative care. We used the views of public representatives to gain their perspectives on the agreed priorities.

RESULTS

A total of 103 experts (representing 11 countries) participated in the first Delphi round. Of the 103 experts, 55 (53.3%) participated in the second round. The final consensus meetings were attended by 10.7% (11/103) of the experts. We identified 16 priority areas, which involved many applications of technologies, including care for patients and caregivers, self-management and reporting of diseases, education and training, communication, care coordination, and research methodology. We summarized the priority areas into eight topics: big data, mobile devices, telehealth and telemedicine, virtual reality, artificial intelligence, smart home, biotechnology, and digital legacy.

CONCLUSIONS

The priorities identified in this study represent a wide range of important emerging areas in the fields of digital health, personalized medicine, and data science. Human-centered design and robust governance systems should be considered in future research. It is important that the risks of using these technologies in palliative care are properly addressed to ensure that these tools are used meaningfully, wisely, and safely and do not cause unintentional harm.

Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies

Background

Smartphone studies provide an opportunity to collect frequent data at a low burden on participants. Therefore, smartphones may enable data collection from people with progressive neurodegenerative diseases such as amyotrophic lateral sclerosis at high frequencies for a long duration. However, the progressive decline in patients’ cognitive and functional abilities could also hamper the feasibility of collecting patient-reported outcomes, audio recordings, and location data in the long term.

Objective

The aim of this study is to investigate the completeness of survey data, audio recordings, and passively collected location data from 3 smartphone-based studies of people with amyotrophic lateral sclerosis.

Methods

We analyzed data completeness in three studies: 2 observational cohort studies (study 1: N=22; duration=12 weeks and study 2: N=49; duration=52 weeks) and 1 clinical trial (study 3: N=49; duration=20 weeks). In these studies, participants were asked to complete weekly surveys; weekly audio recordings; and in the background, the app collected sensor data, including location data. For each of the three studies and each of the three data streams, we estimated time-to-discontinuation using the Kaplan–Meier method. We identified predictors of app discontinuation using Cox proportional hazards regression analysis. We quantified data completeness for both early dropouts and participants who remained engaged for longer.

Results

Time-to-discontinuation was shortest in the year-long observational study and longest in the clinical trial. After 3 months in the study, most participants still completed surveys and audio recordings: 77% (17/22) in study 1, 59% (29/49) in study 2, and 96% (22/23) in study 3. After 3 months, passively collected location data were collected for 95% (21/22), 86% (42/49), and 100% (23/23) of the participants. The Cox regression did not provide evidence that demographic characteristics or disease severity at baseline were associated with attrition, although it was somewhat underpowered. The mean data completeness was the highest for passively collected location data. For most participants, data completeness declined over time; mean data completeness was typically lower in the month before participants dropped out. Moreover, data completeness was lower for people who dropped out in the first study month (very few data points) compared with participants who adhered long term (data completeness fluctuating around 75%).

Conclusions

These three studies successfully collected smartphone data longitudinally from a neurodegenerative population. Despite patients’ progressive physical and cognitive decline, time-to-discontinuation was higher than in typical smartphone studies. Our study provides an important benchmark for participant engagement in a neurodegenerative population. To increase data completeness, collecting passive data (such as location data) and identifying participants who are likely to adhere during the initial phase of a study can be useful.

Trial Registration

ClinicalTrials.gov NCT03168711; https://clinicaltrials.gov/ct2/show/NCT03168711

Integrating Quality of Life in the Care Pathway of Cancer Patients Undergoing Immunotherapy Treatment: Descriptive, Cross-sectional Survey of an Online Patient Community's Experiences and Expectations

BACKGROUND

New cancer treatments, such as immune checkpoint inhibitors (ICIs), can improve survival and health-related quality of life (HRQoL) in patients with cancer. Although long-term monitoring of HRQoL has been shown to improve survival, integration of HRQoL into everyday practice remains poorly documented.

OBJECTIVE

This study describes experiences and expectations of patients treated with ICIs regarding a discussion of HRQoL with health care professionals (HCPs) in cancer management.

METHODS

This cross-sectional study was conducted in an online patient community (Carenity) in France. Patients treated with ICIs for cancer, included between September 2018 and January 2019, completed a questionnaire to assess the involvement of HCP in a discussion of HRQoL and when and what was discussed.

RESULTS

Of 82 patients included (mean age: 56.9 years, 95% CI 54.2-59.6; 46 [56%] male; 34 [41%] with lung cancer), 62 (76%) reported discussing HRQoL at least once with HCPs, mainly general practitioners (54/82, 66%), oncologists (53/82, 65%), and hospital nurses (50/82, 61%). Around half (45/82, 55%) of the patients were satisfied with these discussions. Discussions with the oncologist were at the patient's initiative (34/53, 64%). Discussions occurred primarily during follow-up visits (40/62, 65%), when adverse events occurred (30/62, 48%), and at treatment initiation (27/62, 32%). The most discussed dimensions were symptoms (48/62, 77%) and physical well-being (43/62, 69%). With respect to expectations, 54/82 (66%) patients considered oncologists as the most important HCPs for discussing HRQoL. These discussions were desirable throughout the care pathway, particularly at diagnosis (63/82, 77%) and when treatment was initiated (75/82, 92%) or changed (68/82, 83%). All HRQoL dimensions were considered important to discuss.

CONCLUSIONS

With only around half of the patients satisfied with HRQoL discussions, impactful HRQoL integration in clinical practice is critical. According to patients, this integration should involve mainly oncologists and general practitioners, should happen at every step of the care pathway, and should be extended to dimensions that are currently rarely addressed.

The Quality of Life of People with Solid Cancer is Less Worse than Other Diseases with better Prognosis, Except in the Presence of Depression

Background:

Suffering from Solid Cancer (SC) may adversely impact the Health-related Quality of Life (H-QoL). The aims of this study are to measure the H-QoL in a sample of people suffering from SC and to clarify the role of the co-occurrence of depressive episodes. Results were compared with a healthy control group and with groups of other disorders.

Methods:

In 151 patients with SC (mean±sd age 63.1±11.5; female 54.3%), H-QoL was assessed by SF-12, depressive episodes were identified by PHQ-9. The attributable burden of SC in impairing H-QoL was calculated as the difference between SF-12 score of a community sex and age ¼ matched healthy control group and that of the study sample. The attributable burden of SC was compared with other chronic diseases using specific diagnostic groups drawn from case-control studies that used the same database for selecting control samples.

Results:

H-QoL in people with SC was significantly worse than in the healthy control group (p<0.0001). The attributable burden in worsening the H-QoL due to SC was similar to those of severe chronic diseases, but lower than Multiple Sclerosis (p<0.0001) or Fibromyalgia (p<0.00001). Having a depressive episode was a strong determinant of decreasing H-QoL, regardless of the severity of cancer.

Conclusion:

The findings confirm a strong impact of SC but showed that H-QoL in SC was higher than in chronic diseases with better “quoad vitam” outcome. Since depression was a strong determinant, its prevention, early detection and therapy are the main objectives that must be reached in cancer patients.

Mobile health applications for the care of patients with breast cancer: A scoping review

Objectives

In recent years, the use of mobile health applications (mHealth apps) to deliver care for patients with breast cancer has increased exponentially. This study aimed to summarize the available evidence on developing mHealth apps to care for patients with breast cancer and identify the need for systematic efforts.

Methods

A scoping review was performed according to Arksey and O'Malley's framework, aiming to identify eligible research studies in PubMed, CINAHL, and Web of Science between January 2010 and December 2020. All identified studies were screened, extracted, and analyzed independently by two reviewers.

Results

A total of 676 studies were retrieved, and eight eligible studies were finally included. Four themes emerged: the involvement of patients and health professionals in the phases of design and development, patients' preferences, the characteristics of patients, and the motivators to use mHealth apps. The results indicated promising prospects for using mHealth apps to care for patients with breast cancer and identified the need for systematic efforts to develop and validate relevant apps.

Conclusions

The attributes of patient characteristics, needs, and patient-reported outcomes data are vital components for developing mHealth apps for patients with breast cancer. Additionally, collaborative efforts, including patients, nurses, and other significant health professionals, should develop mHealth apps for breast cancer care. Additional research focusing on the design and development of mHealth apps for patients with breast cancer is warranted.

Electronic Patient-Reported Outcome-Based Interventions for Palliative Cancer Care: A Systematic and Mapping Review

PURPOSE

Capitalizing on the promise of patient-reported outcomes (PROs), electronic implementations of PROs (ePROs) are expected to play an important role in the development of novel digital health interventions targeting palliative cancer care. We performed a systematic and mapping review of the scientific literature on the current ePRO-based approaches used for palliative cancer care.

METHODS

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement guidelines, the conducted review answered the research questions: "What are the current ePRO-based approaches for palliative cancer care; what is their contribution/value in the domain of palliative cancer care; and what are the potential gaps, challenges, and opportunities for further research?" After a screening step, the corpus of included articles indexed in PubMed or the Web of Science underwent full text review, which mapped the articles across 15 predefined axes.

RESULTS

The corpus of 24 mapped studies includes 9 study protocols, 7 technical tools/solutions, 7 pilot/feasibility/acceptability studies, and 1 evaluation study. The review of the corpus revealed (1) an archetype of ePRO-enabled interventions for palliative cancer care, which most commonly use ePROs as study end point assessment instruments rather than integral intervention components; (2) the fact that the literature has not fully embraced the modern definitions that expand the scope of palliative care; (3) the striking shortage of promising ubiquitous computing devices (eg, smart activity trackers); and (4) emerging evidence about the benefits of narrowing down the target cancer population, especially when combined with modern patient-centered intervention design methodologies.

CONCLUSION

Although research on exploiting ePROs for the development of digital palliative cancer care interventions is considerably active and demonstrates several successful cases, there is considerable room for improvement along the directions of the aforementioned findings.

Who is more likely to adopt and comply with the electronic patient-reported outcome measure (ePROM) mobile application? A real-world study with cancer patients undergoing active treatment

PURPOSE

This study aims to identify factors associated with the adoption and compliance of electronic patient-reported outcome measure (ePROM) use among cancer patients in a real-world setting.

METHODS

This prospective cohort study was conducted at the Samsung Medical Center in Seoul, Korea, from September 2018 to January 2019. Cancer patients aged 18 years or older who owned smartphones and who were receiving chemotherapy or radiation therapy were eligible for this study. Patients were asked to use the app to report their symptoms every 7 days for a total of 21 days (3 weeks). Logistic regression was performed to identify the factors associated with the adoption and compliance.

RESULTS

Among 580 patients, 417 (71.9%) adopted the ePROM app and 159 (27.4%) out of 417 had good compliance. Patients who had greater expectations regarding the ease of use (adjusted odds ratio [aOR] 2.67, 95% CI: 1.28-5.57) and usefulness (aOR 1.69, 95% CI: 1.05-2.72) of the ePROM app were more likely to adopt the app than those who did not. Patients who had greater satisfaction with usefulness (aOR 1.89, 95% CI 1.10-3.25) were more likely to comply with using the app, but satisfaction with ease of use was not related to the compliance.

CONCLUSION

While expectation regarding the ease of use and usefulness of the ePROM app was associated with the adoption of the app, satisfaction with ease of use was not related to compliance with the ePROM app. Satisfaction with usefulness was associated with the compliance of ePROM app use.

Multilingual Conversational Systems to Drive the Collection of Patient-Reported Outcomes and Integration into Clinical Workflows

Patient-reported outcomes (PROs) and their use in the clinical workflow can improve cancer survivors’ outcomes and quality of life. However, there are several challenges regarding efficient collection of the patient-reported outcomes and their integration into the clinical workflow. Patient adherence and interoperability are recognized as main barriers. This work implements a cancer-related study which interconnects artificial intelligence (spoken language algorithms, conversational intelligence) and natural sciences (embodied conversational agents) to create an omni-comprehensive system enabling symmetric computer-mediated interaction. Its goal is to collect patient information and integrate it into clinical routine as digital patient resources (the Fast Healthcare Interoperability Resources). To further increase convenience and simplicity of the data collection, a multimodal sensing network is delivered. In this paper, we introduce the main components of the system, including the mHealth application, the Open Health Connect platform, and algorithms to deliver speech enabled 3D embodied conversational agent to interact with the cancer survivors in five different languages. The system integrates cancer patients’ reported information as patient gathered health data into their digital clinical record. The value and impact of the integration will be further evaluated in the clinical study.

Digitalization of adverse event management in oncology to improve treatment outcome-A prospective study protocol

The occurrence of adverse events frequently accompanies tumor treatments. Side effects should be detected and treated as soon as possible to maintain the best possible treatment outcome. Besides the standard reporting system Common Terminology Criteria for Adverse Events (CTCAE), physicians have recognized the potential of patient-reporting systems. These are based on a more subjective description of current patient reporting symptoms. Patient-reported symptoms are essential to define the impact of a given treatment on the quality of life and the patient's wellbeing. They also act against an underreporting of side effects which are paramount to define the actual value of a treatment for the individual patient. Here, we present a study protocol for a clinical trial that assesses the potential of a smartphone application for CTCAE conform symptom reporting and tracking that is adjusted to the standard clinical reporting system rather than symptom oriented descriptive trial tools. The presented study will be implemented in two parts, both lasting over six months. The first part will assess the feasibility of the application with 30 patients non-randomly divided into three equally-sized age groups (<55years, 55-75years, >75years). In the second part 36 other patients will be randomly assigned to two groups, one reporting using the smartphone and one not. This prospective second part will compare the impact of smartphone reported adverse events regarding applied therapy doses and quality of life to those of patients receiving standard care. We aim for early detection and treatment of adverse events in oncological treatment to improve patients' safety and outcomes. For this purpose, we will capture frequent adverse events of chemotherapies, immunotherapies, or other targeted therapies with our smartphone application. The presented trial is registered at the U.S. National Library of Medicine ClinicalTrials.gov (NCT04493450) on July 30, 2020.

A review of AI and Data Science support for cancer management

INTRODUCTION

Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. We review the state-of-the-art of computerized systems that employ AI and Data Science methods to monitor the health status and provide support to cancer patients managed at home.

OBJECTIVE

Our main objective is to analyze the literature to identify open research challenges that a novel decision support system for cancer patients and clinicians will need to address, point to potential solutions, and provide a list of established best-practices to adopt.

METHODS

We designed a review study, in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzing studies retrieved from PubMed related to monitoring cancer patients in their home environments via sensors and self-reporting: what data is collected, what are the techniques used to collect data, semantically integrate it, infer the patient's state from it and deliver coaching/behavior change interventions.

RESULTS

Starting from an initial corpus of 819 unique articles, a total of 180 papers were considered in the full-text analysis and 109 were finally included in the review. Our findings are organized and presented in four main sub-topics consisting of data collection, data integration, predictive modeling and patient coaching.

CONCLUSION

Development of modern decision support systems for cancer needs to utilize best practices like the use of validated electronic questionnaires for quality-of-life assessment, adoption of appropriate information modeling standards supplemented by terminologies/ontologies, adherence to FAIR data principles, external validation, stratification of patients in subgroups for better predictive modeling, and adoption of formal behavior change theories. Open research challenges include supporting emotional and social dimensions of well-being, including PROs in predictive modeling, and providing better customization of behavioral interventions for the specific population of cancer patients.

Cultural adaptation and psychometric validation of the Portuguese breakthrough pain assessment tool with cancer patients

OBJECTIVES

Breakthrough cancer pain (BTcP) is a transient exacerbation of pain that occurs over persistent, stable, and adequately controlled cancer background pain. It is prevalent and bears severe consequences to patients' quality-of-life. The effective management of BTcP depends on fast and reliable (re)assessment. The Breakthrough pain Assessment Tool (BAT) is one of the most concise and reliable self-report instruments adapted to clinical contexts so far, showing good psychometric qualities in the United Kingdom, the Netherlands, and South Korea. As to promote the effective management of BTcP in Portuguese-speaking communities this study, first aimed to culturally adapt and validate the Portuguese version of the BAT (BAT-Pt). Second, and most importantly, it sought to provide novel evidence on its criterion validity by investigating its association with measures of psychological distress, which has not been yet investigated.

METHODS

The BAT was translated into European Portuguese, using the back-translation method, and culturally adapted. Its psychometric properties (factor structure, internal consistency, construct and criterion validity) were analyzed in a cross-sectional multicenter study, with a sample of 65 cancer patients (49.2% women) recruited from eight hospitals in mainland Portugal (a priori power analysis determined a minimum sample of 50). Health professionals collected patients' clinical information, assessed their functional disability (ECOG Performance Status) and the adequacy of pain control. In addition to the Portuguese version of the BAT (BAT_Pt), patients completed the Portuguese versions of the Brief Pain Inventory, the Hospital Anxiety and Depression Scale, a Distress Thermometer and answered questions about the adequacy of pain control.

RESULTS

The BAT-Pt was very well accepted by experts and patients. As hypothesized, a Principal Axis Factor Analysis revealed two underlying factors accounting for 55.2% of the variance: (1) Pain Severity and Impact of BTcP and (2) Duration of BTcP and Medication Inefficacy. Two items (on episode frequency and medication efficacy) were analyzed separately given their lower/cross loadings. The BAT-Pt showed good internal consistency overall (α=0.79) and for each sub-scale, namely, Pain Severity and Impact of BTcP (n=5 items; α=0.86) and Duration of BTcP and Medication Inefficacy (n=2 items; r_sb=0.62). The BAT-Pt showed good convergent validity, being moderately to strongly associated with overall pain severity and interference (0.46<r<0.77, p<0.001). It also showed good concurrent validity by being associated not only with physical outcomes - such as functional disability (r=0.40, p<0.001) and patient- and physician-determined adequacy of BTcP control (|0.25<r_pb<0.63|, p _s <0.05) - but also, with distress (0.33<r<0.46, p _s <0.001), anxiety (0.28<r<0.44, p _s <0.05) and depression (r=0.47, p<0.001).

CONCLUSIONS

The BAT-Pt is a reliable and valid measure of breakthrough pain in Portuguese cancer patients and it is strongly associated to physical and psychological outcomes. This study confirms and extends the psychometric validation of the BAT to a new cultural context, promoting its diffusion and use by researchers and clinicians in Portuguese-speaking communities. The BAT-Pt may be an invaluable tool for daily clinical practice by tapping multiple aspects of BTcP experiences that are associated to patients' physical and psychological outcomes.

Detecting and Treating Psychosocial and Lifestyle-Related Difficulties in Chronic Disease: Development and Treatment Protocol of the E-GOAL eHealth Care Pathway

Many patients with lifestyle-related chronic diseases find it difficult to adhere to a healthy and active lifestyle, often due to psychosocial difficulties. The aim of the current study was to develop an eHealth care pathway aimed at detecting and treating psychosocial and lifestyle-related difficulties that fits the needs and preferences of individual patients across various lifestyle-related chronic diseases. Each intervention component was developed by (1) developing initial versions based on scientific evidence and/or the Behavior Change Wheel; (2) co-creation: acquiring feedback from patients and health professionals; and (3) refining to address users' needs. In the final eHealth care pathway, patients complete brief online screening questionnaires to detect psychosocial and lifestyle-related difficulties, i.e., increased-risk profiles. Scores are visualized in personal profile charts. Patients with increased-risk profiles receive complementary questionnaires to tailor a 3-month guided web-based cognitive behavioral therapy intervention to their priorities and goals. Progress is assessed with the screening tool. This systematic development process with a theory-based framework and co-creation methods resulted in a personalized eHealth care pathway that aids patients to overcome psychosocial barriers and adopt a healthy lifestyle. Prior to implementation in healthcare, randomized controlled trials will be conducted to evaluate its cost-effectiveness and effectiveness on psychosocial, lifestyle, and health-related outcomes.

A Mobile Patient-Facing App for Tracking Patient-Reported Outcomes in Head and Neck Cancer Survivors: Single-Arm Feasibility Study

BACKGROUND

Patients with head and neck cancer (HNC) frequently experience disease-related symptoms and treatment adverse effects that impact their overall quality of life. Cancer-specific mobile health apps for patient-related outcomes allow patients to communicate with their clinicians and proactively track their symptoms, which have been shown to improve clinical management and disease outcomes.

OBJECTIVE

The purpose of this study was to evaluate the feasibility of LogPAL, a novel iPhone-based mobile health app designed to help HNC survivors track and manage their posttreatment symptoms.

METHODS

Patients who completed curative treatment for HNC in the preceding 24 months were recruited from 2 clinical sites within a single institution. Upon enrollment, participants completed a brief sociodemographic survey, downloaded the app onto their iPhone devices, and were asked to complete a series of biweekly questionnaires (based on the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events) via the app for an 8-week study period. The primary feasibility endpoints included retention (retaining >80% of the enrolled participants for the duration of the study period), adherence (>50% of the participants completing 100% of the questionnaires over the study period), and usability (a mean system usability scale [SUS] score >68). Additional postintervention questions were collected to assess perceived usefulness, acceptance, and overall satisfaction.

RESULTS

Between January and October 2019, 38 participants were enrolled in the study. Three participants dropped out, and 3 were classified as nonusers. The remaining 32 (87%) were eligible for analysis. Their mean age was 57.8 (SD 12.3) years (range 24-77 years, 81% [26/32] male). Overall, 375 of 512 (73.2%) questionnaires were completed, with 17 (53%) of the 32 participants adherent. Participant-reported usability was acceptable; the mean SUS score was 71.9 (95% CI 64.3-79.5) with high satisfaction of LogPAL usefulness and likelihood to recommend to other cancer survivors.

CONCLUSIONS

This single-arm prospective pilot study showed that LogPAL is a feasible, regularly used, accepted app for HNC survivors, justifying a full-scale pilot. Based on the findings from this study, future iterations will aim to improve usability and test intervention efficacy.

Cancer Patients' Perceived Value of a Smartphone App to Enhance the Safety of Home-Based Chemotherapy: Feasibility Study

BACKGROUND

Oral anticancer therapies can be self-administered by patients outside the hospital setting, which poses challenges of adherence to a drug plan and monitoring of side effects. Modern information technology may be developed and implemented to address these pertinent issues.

OBJECTIVE

The aim of this study was to explore how a smartphone app developed through a stepwise, iterative process can help patients using oral chemotherapy to take their drug, and to report adherence and side effects in a reliable and verifiable manner.

METHODS

Fourteen patients starting capecitabine treatment were included in this study and used the smartphone app in addition to regular follow up of capecitabine treatment. Nine of these patients fulfilled the treatment plan and were interviewed based on a semistructured interview guide and the System Usability Scale (SUS). In addition, two focus groups were completed with 7 oncologists and 7 oncology nurses, respectively. Interview data were analyzed in accordance with the principles of systematic text condensation. Features of the app were also assessed.

RESULTS

The smartphone app provided the patients with a feeling of reassurance regarding correct adherence of their oral chemotherapy treatment. They used the app as a memory tool about their treatment and possible serious side effects, as well as for treatment education. Patients expressed concerns about using the app to report side effects that were not considered to be obviously serious, fearing overreporting. The health personnel expressed an overall positive attitude to integrate this new tool in their everyday work.

CONCLUSIONS

Patients on oral chemotherapy treatment at home felt safe and found the app to be helpful. The app promoted learning about their treatment and made the patients more independent of the cancer clinic, reducing the need for the clinic's limited resources for follow up of patients on oral anticancer medications.

TOURIST2 - Tracking of urgent risks in swiss travellers to the 6 main travel destinations - Feasibility and ethical considerations of a smartphone application-based study

BACKGROUND

The adoption of mHealth technology in travel medicine is a relatively new and unexplored field. We have further developed a TRAVEL application (app) for real-time data monitoring during travel. In this manuscript we report on the feasibility using this new app in a large and diverse cohort of travellers to three continents.

METHODS

We enrolled 1000 participants from the travel clinics of Zurich and Basel, Switzerland, aged ≥18 years, travelling to Thailand, India, China, Tanzania, Brazil and Peru between 09/2017-01/2019. Participants included healthy travellers, individuals with pre-existing chronic diseases and elderly travellers (≥60 years). Participants completed an app-based daily survey on risk behaviours/health incidents pre-, during and after travel. Simultaneously, GPS locations were tightly collected and linked to environmental data.

RESULTS

793 (79%) travellers answered at least one questionnaire during their trip. Participants' median age was 34 years (range 18-84 years); 8% were aged ≥60 years; 55% female; 32% had pre-existing chronic diseases. Completion rates were similar in younger and elderly travellers and in those with and without pre-existing diseases.

CONCLUSIONS

The use of a smartphone app is a feasible method for collecting behavioural and health data in elderly travellers and individuals with chronic diseases travelling to three continents.

Patients' experiences of eHealth in palliative care: an integrative review

Background

With a growing world population, a longer life expectancy, and more deaths due to chronic diseases, the need for palliative care is increasing. Palliative care aims to alleviate suffering and to promote well-being for patients with progressive, incurable disease or injury. E-Health entails using of information and communication technology for healthcare provision. It is unclear to how patients experience use of eHealth technology within palliative care.

Methods

The aim of this study was to describe patients’ experiences of eHealth in palliative care. A systematic integrative review was performed using six databases: Cinahl Complete; MEDLINE; PubMed; Psychology and Behavioral Sciences Collection; Nursing and Allied Health; and PsycINFO. Twelve studies met the inclusion criteria of adult patients in palliative care, English language, published 2014–2019: comprising 397 patients. Six studies were from European countries, four from North America, one from South America and one from Oceania. Seven were feasibility or pilot studies.

Results

The findings are synthesized in the main theme: E-health applications – promoting communication on patients’ and families’ terms, and three sub- themes: usability and feasibility of eHealth applications; symptom control and individualized care; and use of eHealth applications increased sense of security and patient safety. Patients’ experiences were that eHealth promoted individualized care, sense of security, better symptom management and participation in care. Communication was facilitated by the inherent flexibility provided by technology.

Conclusions

E-Health applications seem promising in promoting equal, individualized care, and may be a tool to endorse accessibility and patient participation in palliative care settings. Indications are that eHealth communication resulted in patients and families receiving more information, which contributed to experiences of patient safety and feelings of security. At organizational and societal levels, eHealth may contribute to sustainable development and more efficient use of resources.

Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives

BACKGROUND

Digital health provides solutions that capture patient-reported outcomes (PROs) and allows symptom monitoring and patient management. Digital therapeutics is the provision to patients of evidence-based therapeutic interventions through software applications aimed at prevention, monitoring, management, and treatment of symptoms and diseases or for treatment optimization. The digital health solutions collecting PROs address many unmet needs, including access to care and reassurance, increase in adherence and treatment efficacy, and decrease in hospitalizations. With current developments in oncology including increased availability of oral drugs and reduced availability of healthcare professionals, these solutions offer an innovative approach to optimize healthcare resource utilization.

DESIGN

This scoping review clarifies the role and impact of the digital health solutions in oncology supportive care, with a view of the current segmentation according to their technical features (connection to sensors, PRO collection, remote monitoring, self-management in real time…), and identifies evidence from clinical studies published about their benefits and limitations and drivers and barriers to adoption. A qualitative summary is presented.

RESULTS

Sixty-six studies were identified and included in the qualitative synthesis. Studies supported the use of 38 digital health solutions collecting ePROs and allowing remote monitoring, with benefits to patients regarding symptom reporting and management, reduction in symptom distress, decrease in unplanned hospitalizations and related costs and improved quality of life and survival. Among those 38 solutions 21 provided patient self-management with impactful symptom support, improvement of QoL, usefulness and reassurance. Principal challenges are in developing and implementing digital solutions to suit most patients, while ensuring patient compliance and adaptability for use in different healthcare systems and living environments.

CONCLUSIONS

There is growing evidence that digital health collecting ePROs provide benefits to patients related to clinical and health economic endpoints. These digital solutions can be integrated into routine supportive care in oncology practice to provide improved patient-centered care.

Patients' reasons for non-use of digital patient-reported outcome concepts: A scoping review

Data from digitally administered patient reported outcomes (PROs) is used more and more in routine healthcare for long-term conditions as a part of daily clinical practice. This literature study reviews empirical studies of digital PRO to examine patients' reasons for non-use of digitally administered PRO data in routine care. This scoping review searched through PubMed, Embase, Web of Science and PsycINFO databases, reporting on study population, intervention, duration of intervention and motivational factors alongside stated reasons for nonparticipation or dropout for each study. The patients' reasons for not participating, either from study start or by dropout, were analysed through a thematic approach.Fifty-one studies were included, published from 2010 to 2019, mostly from Europe and the Unites States covering different long-term conditions. The reasons for non-use are manifold and cover the themes of ability to use PRO, engagement, emotional distress and technical barriers.Several reasons are given explaining why patients with long-term conditions are not using digitally administered PRO as intended. This should be taken into account in the design phase of digital PRO interventions and considered in conversations with patients during the intervention.

Tele-Monitoring of Cancer Patients' Rhythms during Daily Life Identifies Actionable Determinants of Circadian and Sleep Disruption

The dichotomy index (I < O), a quantitative estimate of the circadian regulation of daytime activity and sleep, predicted overall cancer survival and emergency hospitalization, supporting its integration in a mHealth platform. Modifiable causes of I < O deterioration below 97.5%—(I < O)_low—were sought in 25 gastrointestinal cancer patients and 33 age- and sex-stratified controls. Rest-activity and temperature were tele-monitored with a wireless chest sensor, while daily activities, meals, and sleep were self-reported for one week. Salivary cortisol rhythm and dim light melatonin onset (DLMO) were determined. Circadian parameters were estimated using Hidden Markov modelling, and spectral analysis. Actionable predictors of (I < O)_low were identified through correlation and regression analyses. Median compliance with protocol exceeded 95%. Circadian disruption—(I < O)_low—was identified in 13 (52%) patients and four (12%) controls (p = 0.002). Cancer patients with (I < O)_low had lower median activity counts, worse fragmented sleep, and an abnormal or no circadian temperature rhythm compared to patients with I < O exceeding 97.5%—(I < O)_high—(p < 0.012). Six (I < O)_low patients had newly-diagnosed sleep conditions. Altered circadian coordination of rest-activity and chest surface temperature, physical inactivity, and irregular sleep were identified as modifiable determinants of (I < O)_low. Circadian rhythm and sleep tele-monitoring results support the design of specific interventions to improve outcomes within a patient-centered systems approach to health care.