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Background: Utilising electronic patient-reported outcomes (ePRO) to monitor symptoms can improve patient outcomes. However, ePRO systems are typically not co-designed with end-users which may limit their utility and long-term sustainability. We aimed to co-design a real-time ePRO symptom monitoring system for immune checkpoint inhibitor (ICI) toxicities. Methods: We conducted three co-design workshops at an Australian quaternary cancer centre. Participants were patients who had received/were receiving ICI or their caregivers, managing clinicians, administration staff, and electronic medical record (EMR) analysts. Workshop 1 identified preferences for an ideal ePRO system, informing the development of a prototype and generic workflow. Workshop 2 sought feedback on the prototype and workflow. Workshop 3 reviewed the updated prototype and adapted the generic workflow to create a site-specific workflow. Workshop transcripts were analysed thematically. Results: Twenty-seven participants were included. Themes relating to system content and functionality included the need for customisation according to anticipated ICI toxicities; maximising patient accessibility, comprehension, and usability; providing ICI-specific self-management advice; and maximising clinician interpretability and usability. Themes relating to the model of care included the importance of maintaining the “human element” within the ePRO system, providing 24-hour support, alignment with existing clinical workflows, and automation of symptom monitoring processes using the EMR. Conclusion: Early, broad stakeholder engagement through co-design may improve the relevance, uptake, and sustainability of ePRO systems. Future work will involve usability and acceptance testing of the prototype, followed by implementation into routine care. [ABSTRACT FROM AUTHOR]

Purpose of Review: This review aims to investigate the effect of patient-reported symptom monitoring, defined as the process of active and systematic reporting of symptoms initiated by the patient, on the health-related quality of life of breast cancer patients. Recent Findings: Evidence suggests that online patient-reported symptom monitoring has the potential to positively impact the health-related quality of life of non-metastatic breast cancer patients, who are receiving systemic therapy. However, there is a lack of literature specifically addressing patient-reported symptom monitoring and HRQoL in metastatic breast cancer patients. Summary: Additional research on symptom monitoring and HRQoL in breast cancer patients at all stages and during all phases in the disease trajectory, including its impact on personalized treatment, is needed before integration into routine care can be considered. Validated questionnaires and current implementation frameworks should be used to accelerate knowledge development about symptom monitoring for patients and their healthcare professionals, ultimately enhancing symptom self-management and the efficiency of breast cancer healthcare in the future. [ABSTRACT FROM AUTHOR]

Baseball pitching requires fast and coordinated motions of the whole body to reach high ball speeds, putting considerable strain on the musculoskeletal system, particularly the shoulder and elbow. To describe musculoskeletal symptoms and the functional status of the shoulder and elbow in male high school baseball pitchers. Descriptive epidemiology study. Dutch baseball talent academies. One hundred twenty-five male high school baseball pitchers aged 12 to 18 years who participated in 1 of the 6 Dutch baseball talent academies and the Dutch National U-18 team were recruited and enrolled. Musculoskeletal symptoms, functional status of the shoulder and elbow were registered for each player every 6 months over 2 consecutive baseball seasons through self-assessment questionnaires, including the Kerlan-Jobe Orthopaedic Clinic (KJOC) and the Western Ontario Shoulder Instability Index (WOSI) questionnaires. Five hundred seventy musculoskeletal (MSS) symptoms in 93 of the 125 players were reported. The average 6-month prevalence for symptoms of the throwing shoulder was 37% (95% CI = 33%–41%), and for the elbow 37% (95% CI = 31%–42%), followed by the lower back with 36% (95% CI = 26%–45%). The baseball pitchers who experienced only shoulder symptoms had an average KJOC score of 80.0 (95% CI = 75.3–84.7) points, whereas those with only elbow symptoms reported a score of 90.2 (95% CI = 89.2–95.3). On the WOSI questionnaire, baseball pitchers scored an average of 421.2 (95% CI = 200.1–642.4) points. In a cohort of Dutch high school baseball pitchers, one-third reported shoulder and elbow symptoms on the throwing side, with reduced functional status and lower back symptoms. Future efforts should focus on developing preventive strategies through early symptom detection, aiming to prevent symptom progression and, ultimately, the development of severe injuries. [ABSTRACT FROM AUTHOR]

Abstract Background Electronic patient-reported outcome (ePRO) systems can be used to engage patients in remote symptom monitoring to support postoperative care. We interviewed thoracic surgery patients with ePRO experience to identify factors that influenced use of ePROs to report their symptoms post-discharge. Method This qualitative study used semi-structured telephone interviews with adults who underwent major thoracic surgery at an academic medical center in North Carolina. Individuals who enrolled in symptom monitoring, completed at least one ePRO survey, and were reachable by phone for the interview were included. The ePRO surveys assessed 10 symptoms, including validated Patient-Reported Outcome Common Terminology Criteria for Adverse Events (PRO-CTCAE) measures and thoracic surgery-specific questions. Surveys, offered via web-based and automated telephone options, were administered for four weeks post-discharge with alerts sent to clinicians for concerning symptoms. The interviews were guided by the Capability, Opportunity, Motivation model for behavior change (COM-B) and examined factors that influenced patients’ completion of ePRO surveys post-discharge. Team members independently coded interviews and identified themes, informed by COM-B. We report descriptive statistics (demographics, number of surveys completed) and themes organized by COM-B components. Results Of 28 patients invited, 25 (89%) completed interviews from July to October 2022. Participants were a median 58 years, 56% female, 80% White, and 56% had a history of malignancy. They completed 131/150 (87%) possible ePRO surveys. For capability, participants reported building ePROs into their routine and having the skills and knowledge, but lacking physical and emotional energy, to complete ePROs. For opportunity, participants identified the ease and convenience of accessing ePROs and providers’ validation of ePROs. Motivators were perceived benefits of a deepening connection to their clinical team, improved symptom management for themselves and others, and self-reflection about their recovery. Factors limiting motivation included lack of clarity about the purpose of ePROs and a disconnect between symptom items and individual recovery experience. Conclusions Patients described being motivated to complete ePROs when reinforced by clinicians and considered ePROs as valuable to their post-discharge experience. Future work should enhance ePRO patient education, improve provider alerts and communications about ePROs, and integrate options to capture patients’ complex health journeys.

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Aims Patients with heart failure (HF) experience various signs and symptoms and have difficulties in perceiving them. Integrating insights from patients who have engaged in the process of symptom perception is crucial for enhancing our understanding of the theoretical concept of symptom perception. This study aimed to describe how patients with HF perceive symptoms through the processes of monitoring, awareness, and evaluation and what influences the process. Methods and results Using a qualitative descriptive design, we conducted in-person semi-structured interviews with a purposeful sample of 40 adults experiencing an unplanned hospitalization for a HF symptom exacerbation. We elicited how patients monitor, become aware of, and evaluate symptoms prior to hospitalization. Data were analysed using directed qualitative content analysis. One overarching theme and three major themes emerged. Patients demonstrated Body listening , which involved active and individualized symptom monitoring tactics to observe bodily changes outside one's usual range. Trajectory of bodily change involved the patterns or characteristics of bodily changes that became apparent to patients. Three subthemes— sudden and alarming change , gradual change , and fluctuating change emerged. Patients evaluated symptoms through an Exclusionary process , sequentially attributing symptoms to a cause through a cognitive process of excluding possible causes until the most plausible cause remained. Facilitators and barriers to symptom monitoring, awareness, and evaluation were identified. Conclusion This study elaborates the comprehensive symptom perception process used by adults with HF. Tailored nursing interventions should be developed based on the factors identified in each phase of the process to improve symptom perception in HF. [ABSTRACT FROM AUTHOR]

Background Digital patient monitoring (DPM) tools can facilitate early symptom management for patients with cancer through systematic symptom reporting; however, low adherence can be a challenge. We assessed patient/healthcare professional (HCP) use of DPM in routine clinical practice. Materials and Methods Patients with locally advanced/metastatic lung cancer or HER2-positive breast cancer received locally approved/reimbursed drugs alongside DPM, with elements tailored by F. Hoffmann-La Roche Ltd, on the Kaiku Health DPM platform. Patient access to the DPM tool was through their own devices (eg, laptops, PCs, smartphones, or tablets), via either a browser or an app on Apple iOS or Android devices. Coprimary endpoints were patient DPM tool adoption (positive threshold: 60%) and week 1-6 adherence to weekly symptom reporting (positive threshold: 70%). Secondary endpoints included experience and clinical impact. Results At data cutoff (June 9, 2022), adoption was 85% and adherence was 76%. Customer satisfaction and effort scores for patients were 76% and 82%, respectively, and 83% and 79% for HCPs. Patients spent approximately 10 minutes using the DPM tool and completed approximately 1.0 symptom questionnaires per week (completion time 1-4 minutes). HCPs spent approximately 1-3 minutes a week using the tool per patient. Median time to HCP review for alerted versus non-alerted symptom questionnaires was 19.6 versus 21.5 hours. Most patients and HCPs felt that the DPM tool covered/mostly covered symptoms experienced (71% and 75%), was educational (65% and 92%), and improved patient-HCP conversations (70% and 83%) and cancer care (51% and 71%). Conclusion The DPM tool demonstrated positive adoption, adherence, and user experience for patients with lung/breast cancer, suggesting that DPM tools may benefit clinical cancer care. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to provide a comprehensive understanding of the need for continued development of symptom monitoring (SM) implementation, utilization, and data usage at the macro-, meso-, and micro-levels. Methods: Discussions from a patient-reported SM workshop at the MASCC/ISSO 2022 annual meeting were analyzed using a macro-meso-micro analytical framework of cancer care delivery. The workshop categories “initiation and implementation, barriers to adoption and utilization, and data usage” were integrated for each level. Results: At the macro-level, policy development could encourage data sharing and international collaboration, including the exchange of SM methods, supportive care models, and self-management modules. At the meso-level, institutions should adjust clinical workflow and service delivery and promote a thorough technical and clinical integration of SM. At the micro-level, SM should be individualized, with timely feedback for patients, and should foster trust and understanding of AI decision support tools amongst clinicians to improve supportive care. Conclusions: The workshop reached a consensus among international experts on providing guidance on SM implementation, utilization, and (big) data usage pathways in cancer survivors across the cancer continuum and on macro-meso-micro levels. [ABSTRACT FROM AUTHOR]

Background: Prevention of heart failure (HF) exacerbations requires that patients carefully self-manage their condition. Symptom perception is a key component in self-care for patients with HF that involves monitoring for HF symptoms and recognizing symptom changes. Heart failure knowledge is a prerequisite for better symptom perception and symptom management. However, the relationships among HF knowledge, symptom perception, and symptom management remain unclear. Objective: The aim of this study was to explore the inter-relationships among HF knowledge, symptom monitoring, symptom recognition, and symptom response in patients with HF. Method: We included 185 patients with HF in this study. Heart failure knowledge was measured using the Dutch HF Knowledge Scale. Symptom monitoring, symptom recognition, and symptom response were measured using the Self-care of HF Index. Structural equation modeling was used for data analyses. Results: Heart failure knowledge was associated with symptom monitoring (β =.357, P <.001). Symptom monitoring was directly associated with both symptom recognition (β =.371, P <.001) and symptom response (β =.499, P <.001). Symptom recognition was directly associated with symptom response (β =.274, P <.001). Heart failure knowledge was not directly associated with symptom recognition, nor with symptom response. Heart failure knowledge was indirectly associated with symptom recognition and symptom response through symptom monitoring. Conclusion: Symptom monitoring is associated with both symptom recognition and symptom response and is a mediator between HF knowledge and symptom recognition and between HF knowledge and symptom response. This finding suggests that it is important for clinicians not just to increase patients' HF knowledge but also to enhance their skills of symptom monitoring and symptom recognition and promote symptom monitoring among patients to improve symptom response in self-care. [ABSTRACT FROM AUTHOR]

Abstract Background Citizen science as an approach to merge society and science is not a new paradigm. Yet it is not common in public health, epidemiology, or medical sciences. SMARAGD (Sensors for Measuring Aerosols and ReActive Gases to Deduce health effects) assesses air pollution at participants’ homes or workplaces in Cologne, Germany, as feasibility study with a citizen science approach. Personal exposure to air pollutants is difficult to study, because the distribution of pollutants is heterogeneous, especially in urban areas. Targeted data collection allows to establish connections between air pollutant concentration and the health of the study population. Air pollution is among the most urgent health risks worldwide. Yet links of individualized pollution levels and respiratory infections remain to be validated, which also applies for the feasibility of the citizen science approach for epidemiological studies. Methods We co-designed a prospective feasibility study with two groups of volunteers from Cologne, Germany. These citizen scientists and researchers determined that low-cost air-quality sensors (hereafter low-cost sensors) were to be mounted at participants’ homes/workplaces to acquire stationary data. The advantage of deploying low-cost sensors is the achievable physical proximity to the participants providing health data. Recruitment started in March 2021 and is currently ongoing (as of 09/22). Sensor units specifically developed for this study using commercially available electronic sensor components will measure particulate matter and trace gases such as ozone, nitrogen oxides, and carbon monoxide. Health data are collected using the eResearch system “Prospective Management and Monitoring-App” (PIA). Due to the ongoing SARS-CoV-2 pandemic, we also focus on COVID-19 as respiratory infection. Discussion Citizen science offers many benefits for science in general but also for epidemiological studies. It provides scientific information to society, enables scientific thinking in critical discourses, can counter anti-scientific ideologies, and takes into account the interests of society. However, it poses many challenges, as it requires extensive resources from researchers and society and can raise concerns regarding data protection and methodological challenges such as selection bias.

Introduction: the COVID-19 pandemic had prompted governments in many countries to enact laws and policies to combat the spread of COVID-19 at work. The DEL required every worker to be screened when they arrived at work. Screening methods included self-reporting symptoms using a symptom monitoring tool. This study aimed to determine compliance with the symptom monitoring tool by assessing the knowledge, attitude, and practice of the MHSF employees. Methods: a cross-sectional questionnaire was administered to the employees. Information related to demographic, COVID-19 exposure, knowledge of COVID-19 and the symptom monitoring tool, attitude towards the symptom monitoring tool and practices towards COVID-19 and the symptom monitoring tool was collected. Results: a total of 90 participants participated in the study. The majority (N=45; 50%) of respondents were aged between 30 and 39 years old, with more female (N=50) than male (N=40) participants. The majority (N=51; 56.7%) only had grade 12 as the highest level of education. There were 25% (N=10) of males and 20% (N=10) of females who contracted COVID-19. The relationship between the COVID-19 positive cases and the symptom monitoring tool identifying symptoms had a strong negative correlation (-0.932). Respondent's knowledge of COVID-19 and the symptom monitoring tool was moderate (72.4%), with the attitude to the symptom monitoring tool being moderate (63.3%) as well. However, the practices of the COVID-19 guidelines and the symptom monitoring tool were good (93.3%). Conclusion: the employees of the MHSF complied with the completion of the daily symptom monitoring tool. There was decent knowledge of COVID-19 and the symptom monitoring tool, with a moderate attitude and good practices towards COVID-19 and completing the tool. The tool was able to identify suspected COVID-19 cases, which possibly reduced the spread of the virus in the workplace. [ABSTRACT FROM AUTHOR]

Aim: Patient-reported outcomes (PRO) are assessments of a patient's perception of their own health. PROs are often used in measurement-based care (MBC) to assess whether a treatment is working or needs to be changed. We compared oncology providers to mental health providers about barriers and benefits for PRO-based MBC. Subject and methods: Oncologists (n = 200) and mental health professionals (n = 250) were recruited through a survey panel. The survey was designed with input from providers and a patient investigator. Multivariate analyses compared oncologists to mental health professionals and never users of PROs to current PRO users. Results: The most frequent barriers out of 13 were patients not wanting to complete PROs (55%), time (44%), training (37%), not knowing about PROs (33%), and PROs not accounting for individual differences (26%). Oncologists were more likely to report not being trained, not having the technology or funding to administer PROs to patients, not knowing how to interpret PROs, and not having PROs that meet their clinical needs (p <.05) than mental health professionals. Oncologists were also less likely to say that PROs helped justify continued treatment (p =.01) and were more likely to report that PROs helped patients get better faster and that PROs improved communication (p <.05) than mental health professionals. Conclusion: Oncology providers reported less familiarity with PROs and fewer resources to administer PROs in clinical practice. While logistical barriers likely impede PRO use in MBC, identifying specialty specific barriers and allowing PROs to be individualized to the patient may also improve PRO use for all providers. [ABSTRACT FROM AUTHOR]

Purpose: Cancer survivors experience high rates of physical inactivity that often go unaddressed. The My Wellness Check program (MWC) is an EHR-integrated screening and referral system that includes surveillance of physical activity and triage to cancer rehabilitation medicine services. This study examined assessment of physical activity and subsequent referrals to cancer rehabilitation medicine. Methods: A secondary analysis was performed for survivors who completed the MWC between April 2021 and January 2022. Univariable and multivariable logistic regression modeled determinants of qualification for a physical activity referral and provider completion of referral to cancer rehabilitation medicine. Referral was based on responses to the Moving Through Cancer questionnaire. Adjusted odds ratios (aOR) and corresponding 95% confidence intervals (95% CI) were calculated. Results: There were 1,174 survivors who completed the assessment, of which 46% (n = 540) reported physical inactivity. After controlling for group differences, individuals with moderate-severe physical dysfunction (aOR: 1.750; 95% CI: 1.137, 2.693) had higher odds, and self-reporting Hispanic or Latino ethnicity (aOR: 0.720; CI: 0.556, 0.932) had lower odds of physical inactivity. Only 31% (n = 168) received a completed physician referral to cancer rehabilitation medicine following identification of physical inactivity. No patient-level factors were associated with receiving a physician referral. Following referral, 8% (n = 13) utilized cancer rehabilitation medicine services. Conclusions: Patient-level and clinical factors may predict qualification for physical activity referrals; however, they don’t appear to predict referral completion to cancer rehabilitation medicine. Future research should focus on potential provider- and organization-level factors that interact and influence access to cancer rehabilitation medicine services. [ABSTRACT FROM AUTHOR]

Background: Citizen science as an approach to merge society and science is not a new paradigm. Yet it is not common in public health, epidemiology, or medical sciences. SMARAGD (Sensors for Measuring Aerosols and ReActive Gases to Deduce health effects) assesses air pollution at participants' homes or workplaces in Cologne, Germany, as feasibility study with a citizen science approach. Personal exposure to air pollutants is difficult to study, because the distribution of pollutants is heterogeneous, especially in urban areas. Targeted data collection allows to establish connections between air pollutant concentration and the health of the study population. Air pollution is among the most urgent health risks worldwide. Yet links of individualized pollution levels and respiratory infections remain to be validated, which also applies for the feasibility of the citizen science approach for epidemiological studies. Methods: We co-designed a prospective feasibility study with two groups of volunteers from Cologne, Germany. These citizen scientists and researchers determined that low-cost air-quality sensors (hereafter low-cost sensors) were to be mounted at participants' homes/workplaces to acquire stationary data. The advantage of deploying low-cost sensors is the achievable physical proximity to the participants providing health data. Recruitment started in March 2021 and is currently ongoing (as of 09/22). Sensor units specifically developed for this study using commercially available electronic sensor components will measure particulate matter and trace gases such as ozone, nitrogen oxides, and carbon monoxide. Health data are collected using the eResearch system "Prospective Management and Monitoring-App" (PIA). Due to the ongoing SARS-CoV-2 pandemic, we also focus on COVID-19 as respiratory infection. Discussion: Citizen science offers many benefits for science in general but also for epidemiological studies. It provides scientific information to society, enables scientific thinking in critical discourses, can counter anti-scientific ideologies, and takes into account the interests of society. However, it poses many challenges, as it requires extensive resources from researchers and society and can raise concerns regarding data protection and methodological challenges such as selection bias. [ABSTRACT FROM AUTHOR]

Early-onset Parkinson's disease (EOPD) is defined as PD with an age of onset after 21 years of age but before 50 years. It displays many important differences to late-onset PD in terms of its pathology, phenotype, presentation and disease course, all of which have consequences for achieving a definitive diagnosis, the choice of therapy and approach to management. Studies show that this younger population is keen to embrace digital technologies as part of PD care, being familiar with using digital tools in their daily lives. Although most of the literature relating to the use of technology in PD applies to the broad population, this review focuses on evidence and potential benefits of the use of digital technologies to support clinical management in EOPD as well as its value in empowering patients to achieve self-management and in improving their quality of life. Digital technologies also have important and increasing roles in providing telehealth, including rehabilitation strategies for motor and non-motor PD symptoms. EOPD is known to be associated with a higher risk of motor fluctuations, so technologies such as wearable sensors have a valuable role for monitoring symptoms, providing timely feedback, and informing treatment decisions. In addition, digital technologies allow easy provision and equitable access to education and networking opportunities that will enable patients to have a better understanding of their condition. [ABSTRACT FROM AUTHOR]

Simple Summary: Patient-reported outcomes (PROs) are information collected directly from patients regarding their health status. Emerging evidence has suggested that integrating PRO assessments into oncology clinical practice can have various benefits for patient care and health. This systematic review and meta-analysis investigated the effects of routine PRO monitoring on the overall survival of people with any type of cancer. We included six studies that compared these interventions to the care that is usually provided to cancer patients. The results seemed to indicate that monitoring PROs in cancer care could positively influence overall survival and that benefits could be largest for individuals with advanced lung cancer. Possible explanations for these findings are that PRO surveillance may allow clinicians to respond to problems more rapidly or that better symptom management could improve tolerance to therapy, thus extending its benefits. However, since available studies are few and of suboptimal quality, additional rigorous research is needed to consolidate our results. This study examined the effects of the routine assessment of patient-reported outcomes (PROs) on the overall survival of adult patients with cancer. We included clinical trials and observational studies with a control group that compared PRO monitoring interventions in cancer clinical practice to usual care. The Cochrane risk-of-bias tools were used. In total, six studies were included in the systematic review: two randomized trials, one population-based retrospectively matched cohort study, two pre–post with historical control studies and one non-randomized controlled trial. Half were multicenter, two were conducted in Europe, three were conducted in the USA and was conducted in Canada. Two studies considered any type of cancer, two were restricted to lung cancer and two were restricted to advanced forms of cancer. PRO screening was electronic in four of the six studies. The meta-analysis included all six studies (intervention = 130.094; control = 129.903). The pooled mortality outcome at 1 year was RR = 0.77 (95%CI 0.76–0.78) as determined by the common effect model and RR = 0.82 (95%CI 0.60–1.12; p = 0.16) as determined by the random-effects model. Heterogeneity was statistically significant (I2 = 73%; p < 0.01). The overall risk of bias was rated as moderate in five studies and serious in one study. This meta-analysis seemed to indicate the survival benefits of PRO screening. As routine PRO monitoring is often challenging, more robust evidence regarding the effects of PROs on mortality would support systematic applications. [ABSTRACT FROM AUTHOR]

Purpose: The benefit of patient-reported outcomes (PRO) in routine oncology practice is increasingly recognized. This study aimed to develop a team-based monitoring and intervention system using electronic PRO (ePRO) and to evaluate its impact at an outpatient oncology clinic., Methods: Patients receiving chemotherapy at our department were eligible for this study. Those who had access to a smartphone or tablet (Bring Your Own Device [BYOD]) and consented participated, and reported 28 symptoms weekly via 3H P-guardian downloaded on their BYOD. E-mail alerts were sent to attending healthcare providers when participants reported at least grade 3 severity for any of nine symptoms (decreased appetite, nausea, vomiting, diarrhea, shortness of breath, pain, insomnia, fatigue, and sadness), which prompted interventions. Comparisons of overall survival (OS), emergency room visits, and hospitalizations were conducted using propensity scores., Results: Among 203 patients who received chemotherapy from September 2021 to August 2023, 77 participated in ePRO monitoring. The overall response rate was 55% (1991 valid responses out of a total of 3597 expected time points), and the median individual response rate was 66% (range, 0-100%). Of 1991 valid responses, 250 (13%) prompted alerts, and most interventions were initiated by making telephone calls. OS and other clinical outcomes were better in ePRO participants compared with non-participants, but these outcomes did not differ significantly between the ePRO and pre-ePRO eras., Conclusions: It was feasible to develop a multi-professional team-based monitoring and intervention system using ePRO at a single-center outpatient oncology clinic. Our results indicate that weekly monitoring of ePRO, along with corresponding interventions, may benefit patients receiving chemotherapy., Competing Interests: Declarations. Ethics approval: The protocol was approved by the institutional review board of Ina Central Hospital. Consent to participate: All subjects provided informed consent in accordance with the Declaration of Helsinki. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: There are numerous symptoms related to cancer and its treatments that can affect the psychosomatic health and quality of life of patients with cancer. The use of electronic symptom management systems (ESMSs) can help patients with cancer monitor and manage their symptoms effectively, improving their health-related outcomes. However, patients' adhesion to ESMSs decreases over time, and little is known about their real experiences with them. Therefore, it is necessary to gain a deep understanding of patients' experiences with ESMSs., Objective: The purpose of this systematic review was to synthesize qualitative studies on the experiences of patients with cancer using ESMSs., Methods: A total of 12 electronic databases, including PubMed, Web of Science, Cochrane Library, EBSCOhost, Embase, PsycINFO, ProQuest, Scopus, Wanfang database, CNKI, CBM, and VIP, were searched to collect relevant studies from the earliest available record until January 2, 2024. Qualitative and mixed methods studies published in English or Chinese were included. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist) and the ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) statement were used to improve transparency in reporting the synthesis of the qualitative research. The Critical Appraisal Skills Program (CASP) checklist was used to appraise the methodological quality of the included studies, and a meta-synthesis was conducted to interpret and synthesize the findings., Results: A total of 21 studies were included in the meta-synthesis. The experiences of patients with cancer using ESMSs were summarized into three major categories: (1) perceptions and attitudes toward ESMSs; (2) the value of ESMSs; and (3) barriers, requirements, and suggestions for ESMSs. Subsequently, 10 subcategories emerged from the 3 major categories. The meta-synthesis revealed that patients with cancer had both positive and negative experiences with ESMSs. In general, patients recognized the value of ESMSs in symptom assessment and management and were willing to use them, but they still encountered barriers and wanted them to be improved., Conclusions: This systematic review provides implications for developing future ESMSs that improve health-related outcomes for patients with cancer. Future research should focus on strengthening electronic equipment and technical support for ESMSs, improving their functional contents and participation forms, and developing personalized applications tailored to the specific needs and characteristics of patients with cancer., Trial Registration: PROSPERO CRD42023421730; https://www.crd.york.ac.uk/prospero/display&#95;record.php?RecordID=421730., (©Siying Zhu, Yan Dong, Yumei Li, Hong Wang, Xue Jiang, Mingen Guo, Tiantian Fan, Yalan Song, Ying Zhou, Yuan Han. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.10.2024.)

To develop and test a patient-reported outcome measure (PROM) for suitability in digital remote asthma symptom monitoring to identify uncontrolled asthma. We modified a 5-item PROM that does not require a license, the asthma control measure (ACM), from a one-month to one-week lookback period, and evaluated it using the 5-item asthma control questionnaire (ACQ-5). We recruited subjects with asthma through MTurk, an online platform. In a sample of 498 subjects, the ACM identified uncontrolled asthma with sensitivity 0.99 and specificity 0.65. The two measures correlated with r = 0.81. The ACM modified to a weekly lookback period can differentiate patients with well-controlled asthma from those with uncontrolled asthma. This PROM does not require a license and can be used in digital remote monitoring interventions. [ABSTRACT FROM AUTHOR]

Purpose: PRO-cision medicine refers to personalizing care using patient-reported outcomes (PROs). We developed and feasibility-tested a PRO-cision Medicine remote PRO monitoring intervention designed to identify symptoms and reduce the frequency of routine in-person visits. Methods: We conducted focus groups and one-on-one interviews with metastatic breast (n = 15) and prostate (n = 15) cancer patients and clinicians (n = 10) to elicit their perspectives on a PRO-cision Medicine intervention's design, value, and concerns. We then feasibility-tested the intervention in 24 patients with metastatic breast cancer over 6-months. We obtained feedback via end-of-study surveys (patients) and interviews (clinicians). Results: Focus group and interview participants reported that remote PRO symptom reporting could alert clinicians to issues and avoid unneeded/unwanted visits. However, some patients did not perceive avoiding visits as beneficial. Clinicians were concerned about workflow. In the feasibility-test, 24/236 screened patients (10%) enrolled. Many patients were already being seen less frequently than monthly (n = 97) or clinicians did not feel comfortable seeing them less frequently than monthly (n = 31). Over the 6-month study, there were 75 total alerts from 392 PRO symptom assessments (average 0.19 alert/assessment). Patients had an average of 4 in-person visits (vs. expected 6.5 without the intervention). Patients (n = 19/24) reported high support on the end-of-study survey, with more than 80% agreeing with positive statements about the intervention. Clinician end-of-study interviews (n = 11/14) suggested that PRO symptom monitoring be added to clinic visits, rather than replacing them, and noted the increasing role of telemedicine. Conclusions: Future research should explore combining remote PRO symptom monitoring with telemedicine and in-person visits. [ABSTRACT FROM AUTHOR]

Abstract Background Patient-reported outcomes (PROs) can be used to monitor patients during treatment. Healthcare provider preferences for individualized vs. standardized PROs have been understudied. Methods This study surveyed oncology and mental health providers to compare attitudes towards individualized and standardized PROs. We have developed a method for individualizing PROs, called precision PROs, and the survey specifically assessed preferences for this method. We compared attitudes and preferences by provider type and by whether respondents were current or never users of PROs. Results Oncology providers expressed more positive attitudes for standardized PROs in treatment planning compared to mental health providers (F(1,440) = 5.978, p = 0.015). The interaction between provider type (oncology vs. mental health) and type of PRO (individualized vs. standardized) was not significant for the attitudes about the clinical utility of PROs (p = 0.709). When directly asked about the precision PRO approach, oncologists were less likely to prefer standardized items (OR = 0.478, p = 0.001) or have no preference (OR = 0.445, p = 0.007) to the precision PRO approach when compared to mental health providers. Qualitative analyses suggested standardized PROs may be simpler or easier to understand whereas individualized PROs better capture patient variability and the unique aspects of each patient’s condition. Some mental health providers expressed reticence about letting patients choose how to tailor PROs. Never users of PROs reported more positive attitudes towards individualized measures than standardized measures whereas current users of PROs did not have a difference in attitudes (p = 0.010). User status was mostly unrelated to preferences. Conclusion Results suggest that healthcare provider preference for individualized PROs may differ by medical specialty. How PROs are tailored may need to differ by discipline. This is particularly important given that previous research showing a preference for individualized PROs over standardized was conducted with psychotherapists. Further research on patient preferences for individualized and standardized PROs is warranted as is research on the clinical utility of individualized PROs such as the precision PRO approach.

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. [ABSTRACT FROM AUTHOR]

A substantial proportion of children and youth in the child welfare system have mental health concerns that warrant attention. While these youth are more likely to receive treatment in general, they are less likely to receive evidence-based treatments. Cognitive Behavioral Therapy Plus (CBT+) is a training approach in evidence-based treatments for anxiety, depression, behavior problems, and symptoms of traumatic stress. Included in the model is an emphasis on symptom and outcome monitoring. Though based on well-established evidence-based treatments, clinical effectiveness of CBT+ has not been evaluated for child welfare populations. Embedded within a broader initiative called Partnering for Success, the current study evaluated the impact of CBT+ training on treatment outcomes for the mental health symptoms of a racially diverse sample of 1281 children and youth in four different states. Symptom data were collected by community-based mental health therapists as part of standard CBT+ treatment adherence procedures. Multilevel linear growth modeling was used to evaluate symptom change over time. Significant improvements were observed across all four clinical targets, with a slight curvilinear relationship found for anxiety, depression, and behavior problems. This promising initial evidence suggests CBT+ is a viable training option for treatment of child welfare-involved children and youth with a range of mental health concerns. Highlights: CBT+ is a promising training approach for therapists working with children and youth in the child welfare system. Including symptom monitoring as part of CBT+ treatment facilitates assessment of clinical change over time. Children and youth receiving CBT+ generally experienced improvements in mental health symptoms. While improvements in symptoms were observed for anxiety, depression, behavior problems and symptoms of traumatic stress, improvement trajectories differed. [ABSTRACT FROM AUTHOR]

Abstract Background The Coronavirus Disease 2019 (COVID-19) pandemic has sparked attention in many countries, especially those that have experienced a steep spike in the number of identified cases. The continued spread of the coronavirus suggests that this situation may be here to stay for a while. Contact tracing is a time-consuming and resource-intensive process, which taps on the already lean healthcare resource in certain countries. Furthermore, the massive infodemic on COVID-19 on the Internet has also resulted in widespread circulation of misinformation online. This outbreak has evoked irrational fear and anxiety from the public, which has resulted in destabilizing of societal norms, such as panic buying and hoarding of daily necessities, and can potentially pose serious health risks to the public. The aim of this paper is to present a COVID-19 Symptom Monitoring and Contact Tracking Record (CoV-SCR) web-app as a bottom-up, proactive approach to supplement the current management strategies for COVID-19. Main text The CoV-SCR web-app ( http://bit.ly/covscrapp ) enables individuals to keep a personal record of their close contacts and monitor their symptoms on a daily basis, so that they can provide relevant and accurate details when they see the doctor and during the contact tracing process. Individuals can record their temperature and rate their symptoms on a 5-point severity scale, as well as record details of their travel and contact history for the last 14 days. The recorded information will be sent to their e-mail address for potential symptom monitoring and contact tracing purposes. In addition, this web-app consolidates evidence-based information on the coronavirus from credible sources, such as the World Health Organization, countries’ health authorities, and PubMed literature. Conclusions A COVID-19 Symptom Monitoring and Contact Tracking web-app has been developed to facilitate contact tracing efforts through public engagement. This app serves an additional purpose of providing information about COVID-19 from reliable resources.

Abstract Background Effective management of patients with chronic kidney disease (CKD) relies on timely detection of clinical deterioration towards end stage kidney failure. We aimed to design an electronic Patient-Reported Outcome Measure (ePROM) system, which would allow patients with advanced CKD (pre-dialysis) to: (i) remotely self-report their symptoms using a simple and secure online platform; (ii) share the data with the clinical team in real-time via the electronic patient record to help optimise care. We adopted a staged development process which included: a systematic review of PROMs used in CKD; formation of a co-design team; prototype system design/development, user acceptance testing and refinement; finalisation of the system for testing in a pilot/feasibility trial. Results A co-design team was convened, including patients with lived experience of CKD; clinical team members; IT/Informatics experts; academics; and Birmingham Clinical Trials Unit representatives. A prototype system was developed and iterative changes made before finalisation during a series of operational meetings. The system allows patients to remotely self-report their symptoms; provides tailored self-management advice; allows monitoring of real-time patient ePROM data; sends automated notifications to the patient/clinical team in the advent of a severe symptom report; and incorporates longitudinal ePROM symptom data into the electronic patient record. Feasibility of the system will be evaluated as part of the National Institute for Health Research funded RePROM (Renal electronic Patient-Reported Outcome Measure) pilot trial (ISRCTN12669006). Conclusions Routine ePROM collection with real-time feedback has the potential to improve outcomes and reduce health service costs. We have successfully developed a trial-ready ePROM system for advanced CKD, the feasibility of which is currently being explored in a pilot trial. Assuming feasibility is demonstrated, formal evaluation of efficacy will take place in a future multi-centre randomised controlled trial.

Purpose: Electronic patient-reported outcomes (ePROs) are increasingly being used for symptom monitoring during routine cancer care, but have rarely been evaluated in diverse patient populations. We assessed ePRO user experiences and perceived value among Black and White cancer patients.Methods: We recruited 30 Black and 49 White bladder and prostate cancer patients from a single institution. Participants reported symptoms using either a web-based or automated telephone interface over 3 months and completed satisfaction surveys and qualitative interviews focused on user experiences and value. Using a narrative mixed methods approach, we evaluated overall and race-specific differences in ePRO user experiences and perceived value.Results: Most participants selected the web-based system, but Blacks were more likely to use the automated telephone-based system than Whites. In satisfaction surveys, Whites more commonly reported ease in understanding and reporting symptoms compared with Blacks. Blacks more often reported that the ePRO system was helpful in facilitating symptom-related discussions with clinicians. During interviews, Blacks described how the ePRO helped them recognize symptoms, while Whites found value in better understanding and tracking symptoms longitudinally. Blacks also expressed preferences for paper-based ePRO options due to perceived ease in better understanding of symptom items.Conclusion: Electronic patient-reported outcomes are perceived as valuable for variable reasons by Black and White cancer populations, with greater perceived value for communicating with clinicians reported among Blacks. To optimize equitable uptake of ePROs, oncology practices should offer several ePRO options (e.g., web-based, phone-based), as well as paper-based options, and consider the e-health literacy needs of patients during implementation. [ABSTRACT FROM AUTHOR]

Evidence suggests that monitoring and appraising symptoms can result in increased engagement in medical help-seeking, improved patient-doctor communication, and reductions in symptom prevalence and severity. To date, no systematic reviews have investigated whether symptom monitoring could be a useful intervention for menopausal women. This review explored whether symptom monitoring could improve menopausal symptoms and facilitate health-related behaviours. Results suggested that symptom monitoring was related to improvements in menopausal symptoms, patient-doctor communication and medical decision-making, heightened health awareness, and stronger engagement in setting treatment goals. Meta-analyses indicated large effects for the prolonged use of symptom diaries on hot flush frequencies. Between April 2019 and April 2021, PsychInfo, EMBASE, MEDLINE, CINAHL, Cochrane, ProQuest, PsychArticles, Scopus, and Web of Science were searched. Eighteen studies met the eligibility criteria and contributed data from 1,718 participants. Included studies quantitatively or qualitatively measured the impact of symptom monitoring on menopausal populations and symptoms. Research was narratively synthesised using thematic methods, 3 studies were examined via meta-analysis. Key themes suggest that symptom monitoring is related to improvements in menopausal symptoms, improved patient-doctor communication and medical decision-making, increased health awareness, and stronger engagement in goal-setting behaviours. Meta-analysis results indicated large effects for the prolonged use of symptom diaries on hot flush frequency: 0.73 [0.57, 0.90]. This review is limited due to the low number of studies eligible for inclusion, many of which lacked methodological quality. These results indicate that symptom monitoring has potential as an effective health intervention for women with menopausal symptoms. This intervention may be beneficial within healthcare settings, in order to improve patient-doctor relations and adherence to treatment regimes. However, findings are preliminary and quality assessments suggest high risk of bias. Thus, further research is needed to support these promising outcomes.Systematic Review Registration Number:https://www.crd.york.ac.uk/prospero/display_record.php?, PROSPERO, identifier: CRD42019146270.

Background: Patient-reported outcomes (PROs) can be used to monitor patients during treatment. Healthcare provider preferences for individualized vs. standardized PROs have been understudied. Methods: This study surveyed oncology and mental health providers to compare attitudes towards individualized and standardized PROs. We have developed a method for individualizing PROs, called precision PROs, and the survey specifically assessed preferences for this method. We compared attitudes and preferences by provider type and by whether respondents were current or never users of PROs. Results: Oncology providers expressed more positive attitudes for standardized PROs in treatment planning compared to mental health providers (F(1,440) = 5.978, p = 0.015). The interaction between provider type (oncology vs. mental health) and type of PRO (individualized vs. standardized) was not significant for the attitudes about the clinical utility of PROs (p = 0.709). When directly asked about the precision PRO approach, oncologists were less likely to prefer standardized items (OR = 0.478, p = 0.001) or have no preference (OR = 0.445, p = 0.007) to the precision PRO approach when compared to mental health providers. Qualitative analyses suggested standardized PROs may be simpler or easier to understand whereas individualized PROs better capture patient variability and the unique aspects of each patient's condition. Some mental health providers expressed reticence about letting patients choose how to tailor PROs. Never users of PROs reported more positive attitudes towards individualized measures than standardized measures whereas current users of PROs did not have a difference in attitudes (p = 0.010). User status was mostly unrelated to preferences. Conclusion: Results suggest that healthcare provider preference for individualized PROs may differ by medical specialty. How PROs are tailored may need to differ by discipline. This is particularly important given that previous research showing a preference for individualized PROs over standardized was conducted with psychotherapists. Further research on patient preferences for individualized and standardized PROs is warranted as is research on the clinical utility of individualized PROs such as the precision PRO approach. [ABSTRACT FROM AUTHOR]

Background: Using patient‐reported outcomes for symptom monitoring in oncology has resulted in significant benefits for adult patients with cancer. The feasibility of this approach has not been established in the routine care of children with cancer. Methods: The Pediatric Patient‐Reported Outcomes version of the Common Terminology Criteria for Adverse Events (Ped‐PRO‐CTCAE) is an item library that enables children and caregivers to self‐report symptoms. Ten symptom items from the Ped‐PRO‐CTCAE were uploaded to an online platform. Patients at least 7 years old and their caregivers were prompted by text/email message to electronically self‐report daily during a planned hospitalization for chemotherapy administration. Symptom reports were emailed to the clinical team caring for the patient, but no instructions were given regarding the use of this information. Rates of patient participation and clinician responses to reports were systematically tracked. Results: The median age of the participating patients (n = 52) was 11 years (range, 7‐18 years). All patients and caregivers completed an initial login, with 92% of dyads completing at least 1 additional symptom assessment during hospitalization (median, 3 assessments; range, 0‐40). Eighty‐one percent of participating dyads submitted symptom reports on at least half of hospital days, and 54% submitted reports on all hospital days. Clinical actions were taken in response to symptom reports 21% of the time. Most patients felt that the system was easy (73%) and important (79%). Most clinicians found symptom reports easy to understand and useful (97%). Conclusions: Symptom monitoring using patient‐reported outcome measures for hospitalized pediatric oncology patients is feasible and generates data valued by clinicians and patients. Patient‐ and caregiver‐reported symptom monitoring is feasible for children hospitalized for chemotherapy, and clinicians are willing to use patient‐reported symptom data to make clinical decisions. [ABSTRACT FROM AUTHOR]

Background: Sleep disturbances are common early warning signs of an episode of bipolar disorder, and early recognition can favorably impact the illness course. Symptom monitoring via a smartphone app is an inexpensive and feasible method to detect an early indication of changes such as sleep. The study aims were (1) to assess the acceptance of apps and (2) to validate sleeping times measured by the smartphone app UP!.Methods:UP! was used by 22 individuals with bipolar disorder and 23 controls. Participants recorded their time of falling asleep and waking-up using UP! for 3 weeks. Results were compared to a validated accelerometer and the Pittsburgh Sleep Quality Index. Additionally, participants were interviewed regarding early warning signs and their feedback for apps as monitoring tools in bipolar disorder (NCT03275714).Results: With UP!, our study did not find strong reservations concerning data protection or continual smartphone usage. Correlation analysis demonstrates UP! to be a valid tool for measuring falling asleep and waking-up times.Discussion: Individuals with bipolar disorder assessed the measurement of sleep disturbances as an early warning sign with a smartphone as positive. The detection of early signs could change an individual's behavior and strengthen self-management. The study showed that UP! can be used to measure changes in sleep durations accurately. Further investigation of smartphone apps' impact to measure other early signs could significantly contribute to clinical treatment and research in the future through objective, continuous, and individual data collection.

Background: Sleep disturbances are common early warning signs of an episode of bipolar disorder, and early recognition can favorably impact the illness course. Symptom monitoring via a smartphone app is an inexpensive and feasible method to detect an early indication of changes such as sleep. The study aims were (1) to assess the acceptance of apps and (2) to validate sleeping times measured by the smartphone app UP!. Methods: UP! was used by 22 individuals with bipolar disorder and 23 controls. Participants recorded their time of falling asleep and waking-up using UP! for 3 weeks. Results were compared to a validated accelerometer and the Pittsburgh Sleep Quality Index. Additionally, participants were interviewed regarding early warning signs and their feedback for apps as monitoring tools in bipolar disorder (NCT03275714). Results: With UP! , our study did not find strong reservations concerning data protection or continual smartphone usage. Correlation analysis demonstrates UP! to be a valid tool for measuring falling asleep and waking-up times. Discussion: Individuals with bipolar disorder assessed the measurement of sleep disturbances as an early warning sign with a smartphone as positive. The detection of early signs could change an individual's behavior and strengthen self-management. The study showed that UP! can be used to measure changes in sleep durations accurately. Further investigation of smartphone apps' impact to measure other early signs could significantly contribute to clinical treatment and research in the future through objective, continuous, and individual data collection. [ABSTRACT FROM AUTHOR]

Objectives: Little is known about the longitudinal course of pediatric acute-onset neuropsychiatric syndrome (PANS) because existing literature is primarily cross-sectional. To begin to address this gap, two digital platforms were used to prospectively monitor neuropsychiatric symptoms in children with PANS. The aim was to identify baseline clinical characteristics that would predict the course of neuropsychiatric symptoms over 12 weeks. We compared relative compliance between two electronic data acquisition platforms and evaluated agreement between parent-child ratings of symptoms. Methods: For 12 weeks, 20 children with PANS and their parents completed weekly rating scales of neuropsychiatric symptoms on Research Electronic Data Capture (REDCap) and concurrently parents completed tri-weekly ratings on My Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS) Chart, a symptom monitoring website. Longitudinal data were analyzed by using regression analyses. Results: Greater duration of time between onset of PANS and study enrollment was associated with worsening of parent-rated neuropsychiatric symptoms over 12 weeks (p = 0.05). Higher scores on parents' Caregiver Burden Inventory at baseline predicted that children would report more severe symptoms over the 12-week period (p = 0.01). Compliance rates for parents were 86.3% for the weekly REDCap PANS Symptoms Rating Scale compared with 53.8% for the tri-weekly My PANDAS Chart ratings. There was moderate agreement between children and parents on the PANS Symptom Rating Scale (r = 0.55, p < 0.0001). Conclusion: Our study highlights the utility of electronic methods for tracking longitudinal symptoms in children with PANS and suggests that particular baseline characteristics (e.g., delay in identification and treatment of PANS, greater caregiver burden) may be indicative of a differential trajectory of PANS course, with more severe symptoms over the short term. clinicaltrials.gov NCT04382716. [ABSTRACT FROM AUTHOR]

Patients with heart failure have difficulty recognizing and identifying changes in bodily sensations, despite the importance of symptom monitoring. The way patients with heart failure experience their bodies from exacerbation to recovery is poorly understood. We aimed to describe the lived bodily experience of heart failure from exacerbation to recovery. Participatory observations and interviews were conducted in seven patients admitted to the intensive care unit with worsening heart failure. Benner's interpretive phenomenology was used for analysis. Four major themes were identified: a non-functional body becomes the central concern and an object; being conscious of bodily changes before hospitalization when asked; the central concern shifted to daily life and the body becomes the background; and having a feeling of death in the body that no longer functions or a weakened body after recovery. This study found that patients with heart failure were conscious and concerned about their bodies changing as they underwent rapid changes during exacerbations and recovery. In addition, immediately after their bodies recovered and until they were discharged from the hospital, they looked toward their daily lives through their bodily experiences during heart failure exacerbation. The lived bodily experience of heart failure, which is less conscious in daily life, is made conscious through storytelling in the period immediately following recovery from an acute exacerbation and can be the basis for subsequent self-care exploration.

Purpose: Chronic heart failure patients are often rehospitalized because they fail to seek appropriate, timely care. However, both patients and nurses experience difficulties in detecting signs of heart failure exacerbation. We aimed to qualitatively investigate how visiting nurses detect symptoms of disease progression in chronic heart failure patients in their homes. Methods: Participants were three experienced home-visit chronic heart failure nurses who completed one-to-one interviews. Data were analysed using the qualitative synthesis method (KJ method). Results: Six themes were identified that reflected detection of disease exacerbation and nursing support to prevent disease progression: difficulty of judging deterioration in patients with comorbidities; ascertaining conditions needing immediate intervention; detection of illness progression from changes in the patient’s appearance; inferring instability in physical condition from patients’ concerns and questions; arranging to ensure continued management of the patient post discharge; and instructing patients to ensure they never return to their old habits. Conclusions: The findings indicate that nurses experience challenges in detecting illness progression and judging when outpatient or hospital care is needed. However, nurses use a range of signs and symptoms to determine deterioration. Home-visit nurses thus play a crucial role in the post-hospital care of chronic heart failure patients.

While psychological treatments have been shown to be effective in treating psychiatric disorders, the mechanism of their therapeutic effect is less well understood. An improved mechanistic understanding of psychiatric disorders and their treatments would enable refinement of existing interventions, and more targeted intervention and the development of new treatments. A major limitation in understanding the mechanism of effect in psychological treatments has been the challenge of capturing what happens outside of the clinical setting. The development of new digital technologies such as smartphones and wearables enables much more inter-session data to be collected. The rapid evolution of smartphones and wearable technologies, combined with the ubiquity of mobile networks means that is possible for patients to provide regular, longitudinal, and high-resolution data. This allows a previously inaccessible and untapped stream of a specific patient’s behaviours, moods, activities, and thoughts to be quantified. Monitoring through such technologies may be of therapeutic value, improving self-awareness and promoting mentalization. Smartphones and wearable technologies can also be used to delivered therapies remotely. Digital technologies enable new insights to be gained into the lived experience of mental disorder enabling current treatments to be refined and personalised, as well as generating new targets for future treatment development. In this article we discuss how such technologies are improving our understanding of psychiatric disorder, informing psychological treatments before considering the future potential of such technologies. We will also consider the challenges and ethical concerns of such approaches.

Purpose: Chronic heart failure patients are often rehospitalized because they fail to seek appropriate, timely care. However, both patients and nurses experience difficulties in detecting signs of heart failure exacerbation. We aimed to qualitatively investigate how visiting nurses detect symptoms of disease progression in chronic heart failure patients in their homes. Methods: Participants were three experienced home-visit chronic heart failure nurses who completed one-to-one interviews. Data were analysed using the qualitative synthesis method (KJ method). Results: Six themes were identified that reflected detection of disease exacerbation and nursing support to prevent disease progression: difficulty of judging deterioration in patients with comorbidities; ascertaining conditions needing immediate intervention; detection of illness progression from changes in the patient's appearance; inferring instability in physical condition from patients' concerns and questions; arranging to ensure continued management of the patient post discharge; and instructing patients to ensure they never return to their old habits. Conclusions: The findings indicate that nurses experience challenges in detecting illness progression and judging when outpatient or hospital care is needed. However, nurses use a range of signs and symptoms to determine deterioration. Home-visit nurses thus play a crucial role in the post-hospital care of chronic heart failure patients. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: The Coronavirus Disease 2019 (COVID-19) pandemic has sparked attention in many countries, especially those that have experienced a steep spike in the number of identified cases. The continued spread of the coronavirus suggests that this situation may be here to stay for a while. Contact tracing is a time-consuming and resource-intensive process, which taps on the already lean healthcare resource in certain countries. Furthermore, the massive infodemic on COVID-19 on the Internet has also resulted in widespread circulation of misinformation online. This outbreak has evoked irrational fear and anxiety from the public, which has resulted in destabilizing of societal norms, such as panic buying and hoarding of daily necessities, and can potentially pose serious health risks to the public. The aim of this paper is to present a COVID-19 Symptom Monitoring and Contact Tracking Record (CoV-SCR) web-app as a bottom-up, proactive approach to supplement the current management strategies for COVID-19. Main text: The CoV-SCR web-app (http://bit.ly/covscrapp) enables individuals to keep a personal record of their close contacts and monitor their symptoms on a daily basis, so that they can provide relevant and accurate details when they see the doctor and during the contact tracing process. Individuals can record their temperature and rate their symptoms on a 5-point severity scale, as well as record details of their travel and contact history for the last 14 days. The recorded information will be sent to their e-mail address for potential symptom monitoring and contact tracing purposes. In addition, this web-app consolidates evidence-based information on the coronavirus from credible sources, such as the World Health Organization, countries' health authorities, and PubMed literature. Conclusions: A COVID-19 Symptom Monitoring and Contact Tracking web-app has been developed to facilitate contact tracing efforts through public engagement. This app serves an additional purpose of providing information about COVID-19 from reliable resources. [ABSTRACT FROM AUTHOR]

Background: Effective management of patients with chronic kidney disease (CKD) relies on timely detection of clinical deterioration towards end stage kidney failure. We aimed to design an electronic Patient-Reported Outcome Measure (ePROM) system, which would allow patients with advanced CKD (pre-dialysis) to: (i) remotely self-report their symptoms using a simple and secure online platform; (ii) share the data with the clinical team in real-time via the electronic patient record to help optimise care. We adopted a staged development process which included: a systematic review of PROMs used in CKD; formation of a co-design team; prototype system design/development, user acceptance testing and refinement; finalisation of the system for testing in a pilot/feasibility trial. Results: A co-design team was convened, including patients with lived experience of CKD; clinical team members; IT/Informatics experts; academics; and Birmingham Clinical Trials Unit representatives. A prototype system was developed and iterative changes made before finalisation during a series of operational meetings. The system allows patients to remotely self-report their symptoms; provides tailored self-management advice; allows monitoring of real-time patient ePROM data; sends automated notifications to the patient/clinical team in the advent of a severe symptom report; and incorporates longitudinal ePROM symptom data into the electronic patient record. Feasibility of the system will be evaluated as part of the National Institute for Health Research funded RePROM (Renal electronic Patient-Reported Outcome Measure) pilot trial (ISRCTN12669006). Conclusions: Routine ePROM collection with real-time feedback has the potential to improve outcomes and reduce health service costs. We have successfully developed a trial-ready ePROM system for advanced CKD, the feasibility of which is currently being explored in a pilot trial. Assuming feasibility is demonstrated, formal evaluation of efficacy will take place in a future multi-centre randomised controlled trial. [ABSTRACT FROM AUTHOR]

Background: Inpatient supportive care programs often target patients with advanced solid tumors. To the authors' knowledge, few studies to date have characterized symptom burden in hospitalized patients with potentially curable cancers. The objective of the current study was to compare symptom burden, palliative care consultation, and readmission rates in hospitalized patients by cancer type and treatment intent.Methods: The authors conducted a single-center study of hospitalized patients with cancer between 2014 and 2017. They assessed physical symptoms using the Edmonton Symptom Assessment System and psychological distress using the Patient Health Questionnaire-4 and the Primary Care PTSD (Posttraumatic Stress Disorder) Screen. Multivariate linear regression models were used to assess symptom burden, logistic regression was used to assess palliative care use, and competing risk regression was used to compare 90-day readmission risk.Results: A total of 1549 patients were enrolled and surveyed. The majority of patients reported moderate to severe fatigue, poor well-being, and drowsiness with no significant differences noted by cancer type and treatment intent. Compared with other groups, patients with incurable solid cancer reported higher physical symptoms (beta coefficient [B], 4.73; P < .01) and symptoms of depression (B, 0.44; P < .01) and anxiety (B, 0.39; P < .01), but no difference in posttraumatic stress disorder. Among patients in the top quartile symptom burden according to the Edmonton Symptom Assessment System, the palliative care service was consulted in 14.7%, 7.9%, 25.0%, and 49.6%, respectively, of patients with potentially curable hematologic, potentially curable solid, incurable hematologic, and incurable solid cancers (P < .001). Compared with patients with potentially curable solid cancer, patients in each group experienced a higher risk of readmission within 90 days.Conclusions: Hospitalized patients with cancer experience substantial physical and psychological symptoms. Palliative care rarely is consulted for highly symptomatic patients with potentially curable cancers. Supportive care interventions should target the needs of symptomatic patients regardless of treatment intent. [ABSTRACT FROM AUTHOR]

While psychological treatments have been shown to be effective in treating psychiatric disorders, the mechanism of their therapeutic effect is less well understood. An improved mechanistic understanding of psychiatric disorders and their treatments would enable refinement of existing interventions, and more targeted intervention and the development of new treatments. A major limitation in understanding the mechanism of effect in psychological treatments has been the challenge of capturing what happens outside of the clinical setting. The development of new digital technologies such as smartphones and wearables enables much more inter-session data to be collected. The rapid evolution of smartphones and wearable technologies, combined with the ubiquity of mobile networks means that is possible for patients to provide regular, longitudinal, and high-resolution data. This allows a previously inaccessible and untapped stream of a specific patient's behaviours, moods, activities, and thoughts to be quantified. Monitoring through such technologies may be of therapeutic value, improving self-awareness and promoting mentalization. Smartphones and wearable technologies can also be used to delivered therapies remotely. Digital technologies enable new insights to be gained into the lived experience of mental disorder enabling current treatments to be refined and personalised, as well as generating new targets for future treatment development. In this article we discuss how such technologies are improving our understanding of psychiatric disorder, informing psychological treatments before considering the future potential of such technologies. We will also consider the challenges and ethical concerns of such approaches. [ABSTRACT FROM AUTHOR]