Remote symptom monitoring integrated into electronic health records: A systematic review

eHealth Solutions for Symptom Assessment and Monitoring in Adults With Chronic Kidney Disease: A Systematic Review

AIMS

This systematic review examined eHealth solutions used to assess and monitor symptoms among adults with CKD.

DESIGN

A systematic review was conducted and reported in accordance with the PRISMA checklist. The review protocol was registered in PROSPERO (CRD4202452973).

METHODS

Seven databases were searched for English language studies that reported eHealth solutions for symptom assessment and monitoring in CKD between January 2000 and May 2024. The methodological quality of studies was evaluated using the Mixed Methods Appraisal Tool and a co-design evaluation tool.

RESULTS

Thirty-eight studies involving 4345 participants with CKD were included. Most of the included studies were non-randomised controlled trials (n = 16) and non-experimental studies (n = 13); only a few studies (n = 9) were randomised controlled trials. Current eHealth solutions varied in technologies and functions but were primarily focused on self-monitoring (n = 22), data recording (n = 14), education (n = 13), providing information (n = 10) and reminders/alerts (n = 10). There was limited evidence from few intervention studies involving eHealth solutions showing improvements in CKD symptoms and/or health-related quality of life. Among the 14 studies that assessed user satisfaction, satisfaction was high, but challenges and barriers to implementing these solutions were reported.

CONCLUSION

eHealth solutions have the potential to facilitate symptom assessment and monitoring for adults with CKD, but further high-quality experimental studies are required to provide better evidence in practice.

SUMMARY

eHealth symptom assessment and monitoring are increasing in practice. While some adults are willing and able to use eHealth solutions, barriers remain due to limited digital health literacy. As few randomised controlled trials exist, further studies are needed to evaluate the benefits of reducing chronic kidney disease symptom burden.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness

Mental health mobile applications (apps) have the potential to expand the provision of mental health and wellness services to underserved populations. There is a lack of guidance on how to choose wisely from the thousands of mental health apps without clear evidence of safety, efficacy, and consumer protections. We propose the Framework to Assist Stakeholders in Technology Evaluation for Recovery (FASTER) to Mental Health and Wellness to support agencies and individuals working in mental health, as well as users of mental health apps, in making informed decisions recommending the use of, or using mental health and wellness apps. The framework was developed through a systematic process including a review of existing frameworks and the literature, interviews with key informants, public stakeholder feedback, and iterative application and refinement of the framework to 45 apps. It comprises three sections: Section 1. Risks and Mitigation Strategies, assesses the integrity and risk profile of the app; Section 2. Function, focuses on descriptive aspects related to accessibility, costs, developer credibility, evidence and clinical foundation, privacy/security, usability, functions for remote monitoring of the user, access to crisis services, and artificial intelligence (AI); and Section 3. Mental Health App Features focuses on specific mental health app features, such as journaling and mood tracking. The framework facilitates an assessment of the level of risk posed by the app against the evidence on the effectiveness of the app and its safety features, recognizing that given vast variations in health apps, a 'one size fits all' approach is likely to be insufficient. Future application, testing, and refinements may be required to determine the framework's suitability and reliability across multiple mental health conditions.

A Digital Outpatient Service With a Mobile App for Tailored Care and Health Literacy in Adults With Long-Term Health Service Needs: Multicenter Nonrandomized Controlled Trial

BACKGROUND

Patients with long-term health needs are often expected to actively participate in outpatient care, assuming that they have appropriate health literacy and digital health literacy. However, the association between participation in a digital outpatient service and health literacy remain unclear.

OBJECTIVE

This study aims to evaluate whether digital outpatient care for 6 months improved health literacy, health-related quality of life (HRQoL), digital/eHealth literacy, and the use of health care services compared with usual care.

METHODS

We conducted a multicenter nonrandomized trial with 1 intervention arm and 1 control arm. Patients aged ≥18 years receiving outpatient care in the pain, lung, neurology, or cancer departments at 2 Norwegian university hospitals were allocated in a 1:2 ratio, favoring the intervention arm. The intervention arm received digital outpatient care using tailored patient-reported outcome measures, self-monitoring, and chats for timely contact with the outpatient clinic. Patient responses were assessed by health care workers via a dashboard with a traffic light system to draw attention to the most urgent reports. The control arm received usual care. The data were collected at baseline and after 3 and 6 months. The primary outcome was the change in health literacy according to the Health Literacy Questionnaire domain understanding health information well enough to know what to do from baseline to 6 months. The mean difference in change between the 2 treatment arms was the effect measure. The secondary outcomes were additional domains from the Health Literacy Questionnaire, digital/eHealth literacy, HRQoL, acceptability of the digital intervention, and health service use.

RESULTS

Overall, 162 patients were recruited, 55 (34%) in the control arm and 107 (66%) in the intervention arm, with a 17.3% attrition rate after 6 months. There was no statistically significant difference in the primary outcome, "understanding health information well enough to know what to do," between the arms at 6 months (mean difference -0.05, 95% CI -0.20 to 0.10; P=.53). After 3 months, the health literacy domains actively managing my own health (-0.15, 95% CI -0.30 to -0.00; P=.048) and understanding health information well enough to know what to do (-0.17, 95% CI -0.34 to -0.00; P=.03), as well as both physical (-3.29, 95% CI -5.62 to -0.96; P=.006) and mental HRQoL (-3.08, 95% CI -5.64 to -0.52; P=.02), improved in the digital outpatient intervention arm compared with the control arm.

CONCLUSIONS

This study explored digital outpatient care. Although no statistical differences were observed in patients' health literacy after 6 months, our data indicate an improvement in health literacy domains and HRQoL at 3 months. The participants reported high satisfaction with the digital outpatient care intervention, and our findings highlight the potential of digital interventions in outpatient care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05068869; https://clinicaltrials.gov/ct2/show/NCT05068869.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/46649.

Agreement between patient-reported and clinically documented symptoms of acute myeloid leukemia: Study protocol

AIM

To describe our methods to compare patient-reported symptoms of acute myeloid leukemia and the corresponding documentation by healthcare providers in the electronic health record.

BACKGROUND

Patients with acute myeloid leukemia experience many distressing symptoms, particularly related to chemotherapy. The timely recognition and provision of evidence-based interventions to manage these symptoms can improve outcomes. However, lack of standardized formatting for symptom documentation within electronic health records leads to challenges for clinicians when accessing and comprehending patients' symptom information, as it primarily exists in narrative forms in various parts of the electronic health record. This variability raises concerns about over- or under-reporting of symptoms. Consistency between patient-reported symptoms and clinician's symptom documentation is important for patient-centered symptom management, but little is known about the degree of agreement between patient reports and their documentation. This is a detailed description of the study's methodology, procedures and design to determine how patient-reported symptoms are similar or different from symptoms documented in electronic health records by clinicians.

DESIGN

Exploratory, descriptive study.

METHODS

Forty symptoms will be assessed as patient-reported outcomes using the modified version of the Memorial Symptom Assessment Scale. The research team will annotate symptoms from the electronic health record (clinical notes and flowsheets) corresponding to the 40 symptoms. The degree of agreement between patient reports and electronic health record documentation will be analyzed using positive and negative agreement, kappa statistics and McNemar's test.

CONCLUSION

We present innovative methods to comprehensively compare the symptoms reported by acute myeloid leukemia patients with all available electronic health record documentation, including clinical notes and flowsheets, providing insights into symptom reporting in clinical practice.

IMPACT

Findings from this study will provide foundational understanding and compelling evidence, suggesting the need for more thorough efforts to assess patients' symptoms. Methods presented in this paper are applicable to other symptom-intensive diseases.

Determinants of Dropping Out of Remote Patient-Reported Outcome-Based Follow-Up Among Patients With Epilepsy: Prospective Cohort Study

Background

The use of patient-reported outcome (PRO) measures is an emerging field in health care. In the Central Denmark Region, epilepsy outpatients can participate in remote PRO-based follow-up by completing a questionnaire at home instead of attending a traditional outpatient appointment. This approach aims to encourage patient engagement and is used in approximately half of all epilepsy outpatient consultations. However, dropout in this type of follow-up is a challenging issue.

Objective

This study aimed to examine the association between potential self-reported determinants and dropout in remote PRO-based follow-up for patients with epilepsy.

Methods

This prospective cohort study (n=2282) explored the association between dropout in remote PRO-based follow-up for patients with epilepsy and 9 potential determinants covering 3 domains: health-related self-management, general and mental health status, and patient satisfaction. The associations were examined using multiple logistic regression analyses with adjustment for sex, age, education, and cohabitation.

Results

A total of 770 patients (33.7%) dropped out of remote PRO-based follow-up over 5 years. Statistically significant associations were identified between all potential determinants and dropouts in PRO-based follow-up. Patients with low social support had an odds ratio of 2.20 (95% CI 1.38-3.50) for dropout. Patients with poor health ratings had an odds ratio of 2.17 (95% CI 1.65-2.85) for dropout. Similar estimates were identified for the remaining determinants in question.

Conclusions

Patients with reduced self-management, poor health status, and low patient satisfaction had higher odds of dropout in remote PRO-based follow-up. However, further research is needed to determine the reasons for dropout.

Implementation of patient-reported outcome dashboards within the electronic health record to support shared decision-making in serious chronic illness

BACKGROUND

Attending to patient-reported outcomes (PROs) using data visualisation dashboards could enhance shared decision-making (SDM) and care delivery for serious chronic illnesses. However, few studies have evaluated real-world strategies and resulting implementation outcomes of PRO dashboards.

METHOD

From June 2020 to January 2022, we implemented an electronic health record (EHR)-integrated PRO dashboard for advanced cancer and chronic kidney disease. Based on implementation science guidelines (eg, Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies, Reach, Effectiveness, Adoption, Implementation, Maintenance), we monitored use and captured adaptations in implementation strategies. Clinicians (n=7) and patients (n=30) responded to a 6-month survey that included appropriateness, acceptability, adoption and sustainability.

RESULTS

Out of 1450 eligible patients, 748 (52%) completed at least one PRO invitation (reach). 37% of PRO questionnaire invitations (1421/3882) were completed (fidelity to PRO completion), with higher rates occurring when more implementation strategies were adopted. Among completed postvisit surveys from patients, 57% indicated that the dashboard was discussed at an eligible visit (fidelity to dashboard use). In the 6-month survey, patients endorsed the dashboard's acceptability and appropriateness: 77% felt it frequently provided clear information and 63% felt it frequently met their needs. Most patients (77%) and clinicians (86%) valued the dashboard for increasing SDM, and 57% of clinicians endorsed the dashboard's clinical sustainability.

DISCUSSION

This pilot study demonstrated the clinical appropriateness, acceptability and feasibility of implementing an EHR-integrated PRO dashboard for advanced cancer and chronic kidney disease. Results also point to areas for improvement, including strategies to further support patient and clinician engagement, PRO completion and sustainability in real-world implementation.

Capturing the human impact of living with multiple long-term conditions in routine electronic health records - lost in translation?

Background

Living with multiple long-term conditions (MLTCs) involves 'work'. A recent qualitative synthesis identified eight patient-centred work themes: 'learning and adapting', 'accumulation and complexity', 'investigation and monitoring', 'health service and administration' and 'symptom', 'emotional', 'medication' and 'financial' work. These themes may be underrepresented in electronic health records (EHRs). This study aimed to evaluate the representation of these themes and their constituent concepts in EHR data in a general population and among individuals with history of a mental health condition.

Methods

Using the OpenCodelists builder from OpenSAFELY, clinical code lists corresponding to work concepts were developed using Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) and validated by two clinicians. Additional concepts were engineered within the Clinical Practice Research Datalink (CPRD) and the Secure Anonymised Information Linkage (SAIL) Databank. We analysed trends in recording rates over 20 years across a SAIL general population cohort (n=5,180,602) and a CPRD cohort comprising individuals with a mental health diagnosis (n=3,616,776) and matched controls (n=4,457,225).

Results

55 code lists and seven engineered concepts were developed across the themes. The proportion of patients with codes related to 'investigation and monitoring' exceeded 40%, while 'accumulation and complexity' and 'financial work' were poorly represented (<2% and <1% of the study population respectively). Recording was generally higher among individuals with a mental health diagnosis history.

Conclusion

While EHR data captures some aspects of MLTC work, patient-centred concepts are under-represented. Future research should explore reasons behind variability in coding practices, and innovative methods for enriching structured records with patient-centred data.

Remote monitoring of rheumatoid arthritis (REMORA): study protocol for a stepped wedge cluster randomized trial and process evaluation of an integrated symptom tracking intervention

BACKGROUND

Management of rheumatoid arthritis (RA) relies on symptoms reported by patients during infrequent outpatient clinic visits. These reports are often incomplete and inaccurate due to poor recall, leading to suboptimal treatment decisions and outcomes. Asking people to track symptoms in-between visits and integrating the data into clinical pathways may improve this. However, knowledge on how to implement this into practice and its impact on services and outcomes remains scarce in RA. Therefore, we evaluate the comparative effectiveness and cost-effectiveness of integrated symptom tracking in people with RA over and above usual care, while generating insights on factors for successful implementation.

METHODS

In this superiority stepped wedge cluster-randomized controlled trial with continuous recruitment short exposure design, 16 rheumatology outpatient departments (clusters) recruit a total of 732 people with active RA. They initially offer clinic visits according to standard of care before switching in pairs to visits with integrated symptom tracking. Clusters switch in randomized order every 3 weeks. Integrated symptom tracking consists of (1) a mobile app for patients to track their symptoms daily and other RA aspects weekly/monthly, and (2) an interactive dashboard visualizing the app data, which healthcare professionals access from their electronic health record system. Clinic visits happen according to usual practice, with tracked symptom data only reviewed during visits. Our primary outcome is a difference in marginal mean disease activity score at 12 ± 3 months between standard of care and integrated symptom tracking, after accounting for baseline values, cluster, and other covariates. Secondary outcomes include patient-reported disease activity, quality of life and quality-adjusted life-years, medication/resource use, consultation and decision-making experience, self-management, and illness perception. We also conduct interviews and observations as part of a parallel process evaluation to gather information on implementation.

DISCUSSION

Our trial will generate high-quality evidence of comparative and cost-effectiveness of integrated symptom tracking compared to standard of care in people with RA, with our process evaluation delivering knowledge on successful implementation. This optimizes the chances of integrated symptom tracking being adopted more widely if we find it is (cost-) effective.

TRIAL REGISTRATION

Registered 4-Jun-2024 on https://www.isrctn.com/ , ISRCTN51539448. TRIAL OPEN SCIENCE FRAMEWORK REPOSITORY: https://osf.io/sj9ha/ .

Electronic symptom monitoring for home-based palliative care: A systematic review

BACKGROUND

Coordination and communication challenges in home-based palliative care complicate transitions from hospital care. Electronic symptom monitoring enables real-time data collection, enhancing patient-provider communication. However, a systematic evaluation of its effectiveness in home-based palliative care is lacking.

AIM

To analyze the feasibility, effectiveness, and limitations of electronic symptom monitoring in home-based palliative care, assess the evidence quality, identify the evidence gap, and suggest implications for future research and practice.

DESIGN

This study uses systematic review, meta-analysis, and narrative synthesis (CRD42023457977) to analyze relevant studies until September 2023.

DATA SOURCES

Electronic searches in MEDLINE, CENTRAL, and Embase until September 2023, complemented by hand-searching of references and citations.

RESULTS

This study included twenty studies. The majority of patients positively engage in electronic symptom monitoring, which could improve their quality of life, physical and emotional well-being, and symptom scores without a significant increase in costs. However, firm conclusions about the effects of electronic symptom monitoring on outcomes like survival, hospital admissions, length of stay, emergency visits, and adverse events were limited due to significant variability in the reported data or inadequate statistical power.

CONCLUSION

Introducing electronic symptom monitoring in home-based palliative care holds potential for enhancing patient-reported outcomes, potentially decreasing hospital visits and costs. However, inconsistency in current studies arising from diverse monitoring systems obstructs comparability. To advance, future high-quality research should employ standardized follow-up periods and established scales to better grasp the benefits of electronic symptom monitoring in home-based palliative care.

Evaluation of a Primary Care-Integrated Mobile Health Intervention to Monitor between-Visit Asthma Symptoms

OBJECTIVES

 This study aimed to evaluate implementation of a digital remote symptom monitoring intervention that delivered weekly symptom questionnaires and included the option to receive nurse callbacks via a mobile app for asthma patients in primary care.

METHODS

 Research questions were structured by the NASSS (Nonadoption, Abandonment, Scale-up Spread, and Sustainability) framework. Quantitative and qualitative methods assessed scalability of the electronic health record (EHR)-integrated app intervention implemented in a 12-month randomized controlled trial. Data sources included patient asthma control questionnaires; app usage logs; EHRs; and interviews and discussions with patients, primary care providers (PCPs), and nurses.

RESULTS

 We included app usage data from 190 patients and interview data from 21 patients and several clinician participants. Among 190 patients, average questionnaire completion rate was 72.3% and retention was 78.9% (i.e., 150 patients continued to use the app at the end of the trial period). App use was lower among Hispanic and younger patients and those with fewer years of education. Of 1,185 nurse callback requests offered to patients. Thirty-three (2.8%) were requested. Of 84 PCP participants, 14 (16.7%) accessed the patient-reported data in the EHR. Analyses showed that the intervention was appropriate for all levels of asthma control; had no major technical barriers; was desirable and useful for patient treatment; involved achievable tasks for patients; required modest role changes for clinicians; and was a minimal burden on the organization.

CONCLUSION

 A clinically integrated symptom monitoring intervention has strong potential for sustained adoption. Inequitable adoption remains a concern. PCP use of patient-reported data during visits could improve intervention adoption but may not be required for patient benefits.

Electronic Collection of Patient-Reported Outcomes to Improve Kidney Care: Benefits, Drawbacks, and Next Steps

Kidney services worldwide are increasingly using digital health technologies to deliver care. This includes kidney electronic patient-reported outcome (ePRO) systems: ambulatory digital technologies that enable the capture of PRO data electronically from people with kidney disease remotely and in real time to be shared with their kidney care team. Current kidney ePRO systems commonly aim to support the monitoring and management of symptoms in patients with kidney disease. The majority have thus far only been implemented in research settings and are not yet routinely used in clinical practice, leaving their readiness for real-world implementation largely unknown. Compared with paper-based PRO collection, ePRO systems have certain advantages, which we categorize as efficiency benefits (e.g., lower administrative burden), direct patient care benefits (e.g., automated PRO-based patient education), and health system and research benefits (e.g., collecting ePRO data once for multiple purposes). At the same time, kidney ePRO systems come with drawbacks, such as their potential to exacerbate existing inequities in care and outcomes and to negatively affect staff burden and patients' experience of kidney care. Areas that hold promise for expediting the development and uptake of kidney ePRO systems at the local, organizational, and national level include harnessing national kidney registries as enabling infrastructures; using novel data-driven technologies (e.g., computerized adaptive test systems, configurable dashboards); applying implementation science and action research approaches to enhance translation of ePRO research findings into clinical practice; and engaging stakeholders, including patients and carers, health care professionals, policymakers, payers, ePRO experts, technology providers, and organizations that monitor and improve the quality of kidney services.

Understanding the incidence, duration, and severity of symptoms through daily symptom monitoring among frail and non-frail older patients receiving metastatic prostate cancer treatments

INTRODUCTION

Older adults with metastatic prostate cancer (mPC) experience high symptom burden associated with treatment. Frailty may exacerbate treatment toxicity. The aim of this study was to explore short-term treatment toxicity in patients with metastatic prostate cancer.

MATERIALS AND METHODS

Older adults with metastatic prostate cancer starting chemotherapy, androgen-receptor-axis targeted therapies, or radium-223 participated in a prospective, multicentre, observational study. Participants self-reported symptoms daily using the Edmonton Symptom Assessment System for one treatment cycle via internet or telephone. The most common moderate-to-severe symptoms (score≥4), their duration, and the proportion of participants who experienced improvements in symptom severity (score<4) after reporting moderate-to-severe symptoms at baseline were determined using descriptive statistics. Once-weekly symptom questionnaires were administered and analyzed using linear mixed effect models. Symptom incidence, duration, and frailty associations were assessed using t-tests and chi-square tests.

RESULTS

Ninety participants completed the study (mean age=77 years [standard deviation=6.1], 42% frail [Vulnerable Elders Survey≥3]). The most common moderate-to-severe symptoms across cohorts were fatigue (46.8%), insomnia (42.9%), poor wellbeing (41.2%), pain (37.5%), and decreased appetite (37.1%). Poor wellbeing had a higher incidence in frail participants (62.5% in frail vs. 31.4% in non-frail, p=0.039). Symptom duration varied across cohorts and between frail and non-frail participants. Among participants who reported moderate-to-severe symptoms at baseline, no more than 15% improved in any symptom. There were statistically significant improvements in weekly symptoms for fatigue, decreased appetite, and insomnia in the chemotherapy cohort only.

DISCUSSION

Limitations include a short follow-up duration, lack of a control group, and few radium-223 participants. Regular symptom monitoring can help clinicians understand temporal patterns and durations of symptoms and inform supportive care approaches.

An integrative review of adult cancer patients' experiences of nursing telephone and virtual triage systems for symptom management

PURPOSE

Telephone and virtual triage services are becoming increasingly common in ambulatory oncology settings. Few studies have evaluated their implementation from the perspective of service users. This study aims to evaluate the experiences of engaging with nurse-delivered telephone and virtual triage systems for symptom management among people undergoing cancer treatment.

METHODS

An integrative review was undertaken. MEDLINE, CINAHL, PsycInfo, Academic Search Complete and Scopus were systematically searched. Twelve publications met the inclusion criteria, and data related to cancer patients' perceptions of the triage process were extracted and analysed.

RESULTS

Telephone-based (n=7), app-based (n=5) and video-based teleconferencing (n=2) triage systems were evaluated positively overall, enhancing ease of health system navigation, avoidance of emergency department for consultation, and the information, reassurance and support provided to support self-management of symptoms. However, several factors influenced the users' engagement with triage services, including confidence to articulate symptoms, limited opening hours, waiting times for initial triage or follow-up and digital literacy. Collectively, these factors contributed to delayed reporting or under-reporting of symptoms, undermining the potential impact of services. Studies included variable reporting of intervention characteristics, including the qualification of nurses delivering and leading services.

CONCLUSIONS

Future evaluations of triage services must give greater consideration to the characterisation of interventions to ensure transferability, including nursing roles and qualifications. To ensure effective intervention and optimal supportive care for symptom management, patients must be prepared to engage triage services early. Future evaluations must ensure the impact of digital literacy on engagement with, and experience of, virtual triage is investigated.

Telehealth in PM&R: Past, present, and future in clinical practice and opportunities for translational research

Telehealth refers to the use of telecommunication devices and other forms of technology to provide services outside of the traditional in-person health care delivery system. Growth in the use of telehealth creates new challenges and opportunities for implementation in clinical practice. The American Academy of Physical Medicine and Rehabilitation (AAPM&R) assembled an expert group to develop a white paper to examine telehealth innovation in Physical Medicine and Rehabilitation (PM&R). The resultant white paper summarizes how telehealth is best used in the field of PM&R while highlighting current knowledge deficits and technological limitations. The report identifies new and transformative opportunities for PM&R to advance translational research related to telehealth and enhance patient care.

Population Health Management Approach to Depression Symptom Monitoring in Primary Care via Patient Portal: A Randomized Controlled Trial

Depression is undertreated in primary care. Using patient portals to administer regular symptom assessments could facilitate more timely care. At an urban academic medical center outpatient clinic, patients with active portal accounts and depression on their problem list or a positive screen in the past year were randomized to assessment during triage at visits (usual care) versus usual care plus assessment via portal (population health care). Portal invitations were sent regardless of whether patients had scheduled appointments. More patients completed assessments in the population health care arm than usual care: 59% versus 18%, P < 0.001. Depression symptoms were more common among patients who completed their initial assessment via the portal versus in the clinic. In the population health care arm, 57% (N = 80/140) of patients with moderate-to-severe symptoms completed at least 1 follow-up assessment versus 37% (N = 13/35) in usual care. A portal-based population health approach could improve depression monitoring in primary care.

Self-Reported Unmet Healthcare Needs Due to the COVID-19 Pandemic and Emergency Services Use and Hospitalization Among Cancer Survivors

Introduction

The COVID-19 pandemic has significantly disrupted the entire healthcare system, resulting in unmet needs for medical care (e.g., delayed or forgone care) among patients with cancer.

Methods

Using 2020 National Health Interview Survey data, we examined the prevalence of unmet healthcare needs and whether the self-reported experience of having delayed or forgone healthcare is associated with increased emergency services use and hospitalizations. A multivariable logistic regression model was used to assess the associations between unmet healthcare needs because of COVID-19 and emergency services use and hospitalization, controlling for potential confounding. All analysis was conducted in March and April 2022.

Results

Among 2,386 study participants living with cancer (representing 25.6 million U.S. adults), 33.7% reported having unmet healthcare needs because of the COVID-19 pandemic. The prevalence of unmet healthcare needs was higher among younger cancer survivors and those with higher education. In the adjusted analysis, cancer survivors with unmet healthcare needs were 31% more likely to report any emergency services use (adjusted OR=1.31, 95% CI=1.05, 1.65) than those without. Having unmet healthcare needs was not significantly associated with hospitalization (p=0.465).

Conclusions

Our findings highlight the unmet need for cancer care because of the pandemic and potential adverse health outcomes.

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Although randomized controlled trials (RCTs) are the gold standard for establishing the efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real-world data has been vital in postapproval monitoring and is being promoted for the regulatory process of experimental therapies. An emerging source of real-world data is electronic health records (EHRs), which contain detailed information on patient care in both structured (eg, diagnosis codes) and unstructured (eg, clinical notes and images) forms. Despite the granularity of the data available in EHRs, the critical variables required to reliably assess the relationship between a treatment and clinical outcome are challenging to extract. To address this fundamental challenge and accelerate the reliable use of EHRs for RWE, we introduce an integrated data curation and modeling pipeline consisting of 4 modules that leverage recent advances in natural language processing, computational phenotyping, and causal modeling techniques with noisy data. Module 1 consists of techniques for data harmonization. We use natural language processing to recognize clinical variables from RCT design documents and map the extracted variables to EHR features with description matching and knowledge networks. Module 2 then develops techniques for cohort construction using advanced phenotyping algorithms to both identify patients with diseases of interest and define the treatment arms. Module 3 introduces methods for variable curation, including a list of existing tools to extract baseline variables from different sources (eg, codified, free text, and medical imaging) and end points of various types (eg, death, binary, temporal, and numerical). Finally, module 4 presents validation and robust modeling methods, and we propose a strategy to create gold-standard labels for EHR variables of interest to validate data curation quality and perform subsequent causal modeling for RWE. In addition to the workflow proposed in our pipeline, we also develop a reporting guideline for RWE that covers the necessary information to facilitate transparent reporting and reproducibility of results. Moreover, our pipeline is highly data driven, enhancing study data with a rich variety of publicly available information and knowledge sources. We also showcase our pipeline and provide guidance on the deployment of relevant tools by revisiting the emulation of the Clinical Outcomes of Surgical Therapy Study Group Trial on laparoscopy-assisted colectomy versus open colectomy in patients with early-stage colon cancer. We also draw on existing literature on EHR emulation of RCTs together with our own studies with the Mass General Brigham EHR.

Efficacy of the PRO-CTCAE mobile application for improving patient participation in symptom management during cancer treatment: a randomized controlled trial

PURPOSE

Although mobile-based symptom monitoring is expected to improve patient participation in symptom management during anticancer therapy, previous trials have not evaluated its effectiveness. Therefore, this study aims to evaluate the impact of a symptom monitoring mobile application on improving patient participation in symptom management during anticancer therapy.

METHODS

We conducted a single-center, open-label, randomized controlled trial that enrolled patients with breast, lung, head and neck, esophageal, or gynecologic cancer who were scheduled to receive anticancer therapy (oral or intravenous) between October 2020 and March 2021. We excluded patients with physical or psychological problems. The intervention group received a symptom monitoring application for 8 weeks, and the control group received the usual clinical practice. At 8 weeks, the improvement in patient participation in symptom management was assessed, and additionally quality of life and unplanned clinical visits were assessed.

RESULTS

A total of 222 patients were included in the analysis, of whom 142 were randomly assigned to the intervention group and 71 to the control group. The intervention group reported better outcome in patient participation in symptom management than the control group at 8 weeks (mean scores of 8.5 vs. 8.0; P = 0.01). There were no significant differences between the groups in Quality of life (P = 0.88) and unplanned clinical visits (P = 0.39-0.76).

CONCLUSIONS

This study is meaningful in figuring out that the mobile-based symptom monitoring made them more engaged in their management. Future research should continue to evaluate the effects of patient participation as mediators of clinical outcomes.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04568278.

Feasibility and acceptability of remote symptom monitoring (RSM) in older adults during treatment for metastatic prostate cancer

INTRODUCTION

Emerging data support multiple benefits of remote symptom monitoring (RSM) during chemotherapy to improve outcomes. However, these studies have not focused on older adults and do not include treatments beyond chemotherapy. Although chemotherapy, androgen receptor axis-targeted therapies (ARATs), and radium-223 prolong survival, toxicities are substantial and increased in older adults with metastatic prostate cancer (mPC). We aimed to assess RSM feasibility among older adults receiving life-prolonging mPC treatments.

MATERIALS AND METHODS

Older adults aged 65+ starting chemotherapy, an ARAT, or radium-223 for mPC were enrolled in a multicentre prospective cohort study. As part of the RSM package, participants completed the Edmonton Symptom Assessment Scale (ESAS) daily and detailed questionnaires assessing mood, anxiety, fatigue, insomnia, and pain weekly online or by phone throughout one treatment cycle (3-4 weeks). Alerts were sent to the clinical oncology team for severe symptoms (ESAS ≥7). Participants also completed an end of study questionnaire that assessed study burden and satisfaction. Descriptive statistics were used to determine recruitment and retention rates, participant response rates to daily and weekly questionnaires, clinician responses to alerts, and participant satisfaction rates. An inductive descriptive approach was used to categorize open-ended responses about study benefits, challenges, and recommendations into relevant themes.

RESULTS

Ninety males were included (mean age 77 years, 48% ARAT, 38% chemotherapy, and 14% radium-223). Approximately 38% of patients preferred phone-based RSM. Patients provided RSM responses in 1216 out of 1311 daily questionnaires (93%). Over 93% of participants were satisfied (36%), very satisfied (43%), or extremely satisfied (16%) with RSM, although daily reporting was reported by several (8%) as burdensome. Nearly 45% of patients reported severe symptoms during RSM. Most symptom alerts sent to the oncology care team were acknowledged (97%) and 53% led to follow-ups with a nurse or physician for additional care.

DISCUSSION

RSM is feasible and acceptable to older adults with mPC, but accommodation needs to be made for phone-based RSM. The optimal frequency and duration of RSM also needs to be established.

Adapting a Patient-Reported Outcome Measure to Digital Outpatient Specialist Health Care Services for Type 1 Diabetes: User Involvement Study

BACKGROUND

Diabetes self-management is crucial for patients with type 1 diabetes, and digital services can support their self-management and facilitate flexible follow-up. The potential of using digital patient-reported outcome (PRO) measures in routine outpatient care is not fully used owing to a lack of adapted PRO measures.

OBJECTIVE

This study presents the process of identifying and adapting a digital PRO measure for use in clinical diabetes practice and describes the preferred item topics of the adapted PRO measure, as reported by patients and diabetes specialist nurses.

METHODS

With the involvement of patients, diabetes specialist nurses, management, and researchers, we hosted a series of workshops and 2 dialogue conferences. Scoping searches to identify relevant PRO measures formed the foundation for the process. An in-person dialogue conference was conducted with diabetes specialist nurses as participants, and a digital dialogue conference was conducted with patients with type 1 diabetes as participants. A diabetes-specific PRO measure was translated and adapted to our digital platform. Notes and summaries from the dialogue conferences were imported into NVivo (QSR International) and thematically analyzed as a single combined data set.

RESULTS

The thematic analysis of the 2 dialogue conferences aimed to explore the views of patients with type 1 diabetes and diabetes specialist nurses on the outcomes necessary to measure. An overarching theme, Ensuring that the PRO measure captures the patients' needs precisely and accurately, in a way that facilitates care and communication with health care personnel, was identified and supported with data from both the patients and diabetes specialist nurses. This theme contained four categories: The need for explanatory text after questions to ensure understanding and accurate response, Capturing individual needs in standardized questions, getting to the heart of the patient's problem, and The questions increase patient reflection.

CONCLUSIONS

We successfully conducted an iterative process that identified a PRO measure aligned with the topics raised by the diabetes specialist nurses. Similarly, the patients found the PRO measure to be relevant and one that was addressing their needs. Only minor adjustments were necessary when programming the PRO measure in the digital platform. Our management, patients, and diabetes specialist nurses had a valuable impact on the results. User involvement facilitated a specific focus on the clinical requests to be met by PRO measures and how they must be adapted to local and digital platforms. Overall, this has facilitated the current implementation of the adapted digital PRO measure.

Nurse-led Telehealth Intervention for Rehabilitation (Telerehabilitation) Among Community-Dwelling Patients With Chronic Diseases: Systematic Review and Meta-analysis

BACKGROUND

Chronic diseases are putting huge pressure on health care systems. Nurses are widely recognized as one of the competent health care providers who offer comprehensive care to patients during rehabilitation after hospitalization. In recent years, telerehabilitation has opened a new pathway for nurses to manage chronic diseases at a distance; however, it remains unclear which chronic disease patients benefit the most from this innovative delivery mode.

OBJECTIVE

This study aims to summarize current components of community-based, nurse-led telerehabilitation programs using the chronic care model; evaluate the effectiveness of nurse-led telerehabilitation programs compared with traditional face-to-face rehabilitation programs; and compare the effects of telerehabilitation on patients with different chronic diseases.

METHODS

A systematic review and meta-analysis were performed using 6 databases for articles published from 2015 to 2021. Studies comparing the effectiveness of telehealth rehabilitation with face-to-face rehabilitation for people with hypertension, cardiac diseases, chronic respiratory diseases, diabetes, cancer, or stroke were included. Quality of life was the primary outcome. Secondary outcomes included physical indicators, self-care, psychological impacts, and health-resource use. The revised Cochrane risk of bias tool for randomized trials was employed to assess the methodological quality of the included studies. A meta-analysis was conducted using a random-effects model and illustrated with forest plots.

RESULTS

A total of 26 studies were included in the meta-analysis. Telephone follow-ups were the most commonly used telerehabilitation delivery approach. Chronic care model components, such as nurses-patient communication, self-management support, and regular follow-up, were involved in all telerehabilitation programs. Compared with traditional face-to-face rehabilitation groups, statistically significant improvements in quality of life (cardiac diseases: standard mean difference [SMD] 0.45; 95% CI 0.09 to 0.81; P=.01; heterogeneity: X21=1.9; I2=48%; P=.16; chronic respiratory diseases: SMD 0.18; 95% CI 0.05 to 0.31; P=.007; heterogeneity: X22=1.7; I2=0%; P=.43) and self-care (cardiac diseases: MD 5.49; 95% CI 2.95 to 8.03; P<.001; heterogeneity: X25=6.5; I2=23%; P=.26; diabetes: SMD 1.20; 95% CI 0.55 to 1.84; P<.001; heterogeneity: X24=46.3; I2=91%; P<.001) were observed in the groups that used telerehabilitation. For patients with any of the 6 targeted chronic diseases, those with hypertension and diabetes experienced significant improvements in their blood pressure (systolic blood pressure: MD 10.48; 95% CI 2.68 to 18.28; P=.008; heterogeneity: X21=2.2; I2=54%; P=0.14; diastolic blood pressure: MD 1.52; 95% CI -10.08 to 13.11, P=.80; heterogeneity: X21=11.5; I2=91%; P<.001), and hemoglobin A1c (MD 0.19; 95% CI -0.19 to 0.57 P=.32; heterogeneity: X24=12.4; I2=68%; P=.01) levels. Despite these positive findings, telerehabilitation was found to have no statistically significant effect on improving patients' anxiety level, depression level, or hospital admission rate.

CONCLUSIONS

This review showed that telerehabilitation programs could be beneficial to patients with chronic disease in the community. However, better designed nurse-led telerehabilitation programs are needed, such as those involving the transfer of nurse-patient clinical data. The heterogeneity between studies was moderate to high. Future research could integrate the chronic care model with telerehabilitation to maximize its benefits for community-dwelling patients with chronic diseases.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews CRD42022324676; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=324676.

Patient-Reported Outcome Dashboards Within the Electronic Health Record to Support Shared Decision-making: Protocol for Co-design and Clinical Evaluation With Patients With Advanced Cancer and Chronic Kidney Disease

BACKGROUND

Patient-reported outcomes-symptoms, treatment side effects, and health-related quality of life-are important to consider in chronic illness care. The increasing availability of health IT to collect patient-reported outcomes and integrate results within the electronic health record provides an unprecedented opportunity to support patients' symptom monitoring, shared decision-making, and effective use of the health care system.

OBJECTIVE

The objectives of this study are to co-design a dashboard that displays patient-reported outcomes along with other clinical data (eg, laboratory tests, medications, and appointments) within an electronic health record and conduct a longitudinal demonstration trial to evaluate whether the dashboard is associated with improved shared decision-making and disease management outcomes.

METHODS

Co-design teams comprising study investigators, patients with advanced cancer or chronic kidney disease, their care partners, and their clinicians will collaborate to develop the dashboard. Investigators will work with clinic staff to implement the co-designed dashboard for clinical testing during a demonstration trial. The primary outcome of the demonstration trial is whether the quality of shared decision-making increases from baseline to the 3-month follow-up. Secondary outcomes include longitudinal changes in satisfaction with care, self-efficacy in managing treatments and symptoms, health-related quality of life, and use of costly and potentially avoidable health care services. Implementation outcomes (ie, fidelity, appropriateness, acceptability, feasibility, reach, adoption, and sustainability) during the co-design process and demonstration trial will also be collected and summarized.

RESULTS

The dashboard co-design process was completed in May 2020, and data collection for the demonstration trial is anticipated to be completed by the end of July 2022. The results will be disseminated in at least one manuscript per study objective.

CONCLUSIONS

This protocol combines stakeholder engagement, health care coproduction frameworks, and health IT to develop a clinically feasible model of person-centered care delivery. The results will inform our current understanding of how best to integrate patient-reported outcome measures into clinical workflows to improve outcomes and reduce the burden of chronic disease on patients and health care systems.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/38461.

Impact of a Personal Health Record Intervention Upon Surveillance Among Colorectal Cancer Survivors: Feasibility Study

BACKGROUND

There are currently an estimated 1.5 million individuals living in the United States with colorectal cancer (CRC), and although the 5-year survival rate has increased, survivors are at risk for recurrence, particularly within the first 2-3 years after treatment. National guidelines recommend continued surveillance after resection to identify recurrence early on. Adherence among survivors ranges from 23% to 94%. Novel interventions are needed to increase CRC survivors' knowledge and confidence in managing their cancer and thus to increase adherence to follow-up surveillance.

OBJECTIVE

The objective of this study is to develop and test the feasibility and efficacy of a stand-alone, web-based personal health record (PHR) to increase surveillance adherence among CRC survivors, with patient beliefs about surveillance as secondary outcomes.

METHODS

A pre- and postintervention feasibility trial was conducted testing the efficacy of the colorectal cancer survivor (CRCS)-PHR, which had been previously developed using an iterative, user-centered design approach.

RESULTS

The average age of the sample was 58 (SD 9.9) years, with 57% (16/28) male and the majority married (20/28, 71%) and employed full-time (15/28, 54%). We observed a significant increase in adherence to colonoscopy (before: 11/21, 52% vs after: 18/21, 86%; P=.005) and CEA (14/21, 67% vs 20/21, 95%; P=.01), as well as a slight increase in CT scans (14/21, 67% vs 18/21, 86%; P=.10). The only significant impact on secondary outcome (patient beliefs) was benefits of CEA test (P=.04), as most of the beliefs were high at baseline.

CONCLUSIONS

This feasibility study lays the groundwork for continued development of the CRCS-PHR to increase CRC surveillance. Patient-centered technologies, such as the CRCS-PHR, represent an important potential approach to improving the receipt of guideline-concordant care and follow-up surveillance, and not just for CRC survivors. Researchers should continue to develop patient-centered health technologies with clinician implementation in mind to increase patient self-efficacy and surveillance adherence.

Experiences of patients with chronic obstructive pulmonary disease receiving integrated telehealth nursing services during COVID-19 lockdown

Objective

Even though telemonitoring existed prior to COVID-19, the need was accelerated for patients with COPD due to the limited medical consultations and the anxiety for being infected. To our knowledge, no qualitative study has explored the experiences of COPD patients and the potential benefits of receiving integrated telehealth nursing services during the lockdown.

Methods

Ten participants were interviewed after receiving telehealth nursing services for 3 months; data was analyzed thematically.

Results

Irrespective of COPD severity, all participants expressed that the existing fragmented follow-up care was intensified during COVID. The telenursing services provided them with the comfort and reassurance that a clinician is available for support, advice, and care during the times of isolation. Despite diverse opinions regarding the respiratory-related questions for follow-up, all were enthusiastic about the use of the oximeter in their daily lives. None perceived sharing data as an issue, instead they encouraged the exchange across levels of care.

Conclusion

Despite an appreciation for the service, it is imperative for sustainability reasons that standardized protocols are developed to balance patient preferences in terms of response frequency and the clinical data needed for a telenurse to provide appropriate interventions.

Identifying adverse childhood experiences with electronic health records of linked mothers and children in England: a multistage development and validation study

BACKGROUND

Electronic health records (EHRs) of mothers and children provide an opportunity to identify adverse childhood experiences (ACEs) during crucial periods of childhood development, yet well developed indicators of ACEs remain scarce. We aimed to develop clinically relevant indicators of ACEs for linked EHRs of mothers and children using a multistage prediction model of child maltreatment and maternal intimate partner violence (IPV).

METHODS

In this multistage development and validation study, we developed a representative population-based birth cohort of mothers and children in England, followed from up to 2 years before birth to up to 5 years after birth across the Clinical Practice Research Datalink (CPRD) GOLD (primary care), Hospital Episode Statistics (secondary care), and the Office for National Statistics mortality register. We included livebirths in England between July 1, 2004, and June 30, 2016, to mothers aged 16-55 years, who had registered with a general practitioner (GP) that met CPRD quality standards before 21 weeks of gestation. The primary outcome (reference standard) was any child maltreatment or maternal IPV in either the mother's or child's record from 2 years before birth (maternal IPV only) to 5 years after birth. We used seven prediction models, combined with expert ratings, to systematically develop indicators. We validated the final indicators by integrating results from machine learning models, survival analyses, and clustering analyses in the validation cohort.

FINDINGS

We included data collected between July 1, 2002, and June 27, 2018. Of 376 006 eligible births, we included 211 393 mother-child pairs (422 786 patients) from 400 practices, of whom 126 837 mother-child pairs (60·0%; 240 practices) were randomly assigned to a derivation cohort and 84 556 pairs (40·0%; 160 practices) to a validation cohort. We included 63 indicators in six ACE domains: maternal mental health problems, maternal substance misuse, adverse family environments, child maltreatment, maternal IPV, and high-risk presentations of child maltreatment. Excluding the seven indicators in the reference standard, 56 indicators showed high discriminative validity for the reference standard of any child maltreatment or maternal IPV between 2 years before and 5 years after birth (validation cohort, area under the receiver operating characteristic curve 0·85 [95% CI 0·84-0·86]). During the 2 years before birth and 5 years after birth, the overall period prevalence of maternal IPV and child maltreatment (reference standard) was 2·3% (2876 of 126 837 pairs) in the derivation cohort and 2·3% (1916 of 84 556 pairs) in the validation cohort. During the 2 years before and after birth, the period prevalence was 39·1% (95% CI 38·7-39·5; 34 773 pairs) for any of the 63 ACE indicators, 22·2% (21·8-22·5%; 20 122 pairs) for maternal mental health problems, 15·7% (15·4-16·0%; 14 549 pairs) for adverse family environments, 8·1% (7·8-8·3%; 6808 pairs) for high-risk presentations of child maltreatment, 6·9% (6·7-7·2%; 7856 pairs) for maternal substance misuse, and 3·0% (2·9-3·2%; 2540 pairs) for any child maltreatment (2·4% [2·3-5·6%; 2051 pairs]) and maternal IPV (1·0% [0·8-1·0%; 875 pairs]). 62·6% (21 785 of 34 773 pairs) of ACEs were recorded in primary care only, and 72·3% (25 140 cases) were recorded in the maternal record only.

INTERPRETATION

We developed clinically relevant indicators for identifying ACEs using the EHRs of mothers and children presenting to general practices and hospital admissions. Over 70% of ACEs were identified via maternal records and were recorded in primary care by GPs within 2 years of birth, reinforcing the importance of reviewing parental and carer records to inform clinical responses to children. ACE indicators can contribute to longitudinal surveillance informing public health policy and resource allocation. Further evaluation is required to determine how ACE indicators can be used in clinical practice.

FUNDING

None.

A Systematic Review of the Development and Psychometric Properties of Constipation-Related Patient-Reported Outcome Measures: Opportunities for Digital Health

Background/Aims

Constipation can be a chronic condition that impacts daily functioning and quality of life (QoL). To aid healthcare providers in accurately assessing patient symptoms and treatment outcomes, patient-related outcome measures (PROMs) have been increasingly adopted in clinical settings. This review aims to (1) evaluate the methodological quality and measurement properties of constipation-related PROMs, using the COnsensus-based Standards for the selection of health Measurement INtruments (COSMIN) criteria; and (2) assess the modes of digital dissemination of constipation-related PROMs.

Methods

PubMed, Embase, and PsycINFO databases were searched and 11 011 records ranging from 1989 to 2020 were screened by 2 independent reviewers. A total of 26 studies (23 PROMs; 18 measuring symptom-related items and 5 measuring constipation-related QoL items) were identified for the review and assessed.

Results

There were multiple variations between PROMs, including subtypes of constipation, methods of administration, length of PROM and recall period. While no PROM met all the COSMIN quality standards for development and measurement properties, 5 constipation-related PROMs received at least 4 (out of 7) sufficient ratings. Only 2 PROMs were developed in Asia. Five PROMs were administered through digital methods during the validation process but methods of adapting the PROMs into digital formats were not reported.

Conclusions

The constipation-related PROMs identified in this review present varying quality of development and validation, with an overall need for improvement. Further considerations should be given towards more consistent methodology and reporting of PROM development, increase in culturally-specific PROMs, and better reporting of protocol for the digitisation of PROMs.

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.

Smartphones for musculoskeletal research - hype or hope? Lessons from a decennium of mHealth studies

BACKGROUND

Smartphones provide opportunities for musculoskeletal research: they are integrated in participants' daily lives and can be used to collect patient-reported outcomes as well as sensor data from large groups of people. As the field of research with smartphones and smartwatches matures, it has transpired that some of the advantages of this modern technology are in fact double-edged swords. BODY: In this narrative review, we illustrate the advantages of using smartphones for data collection with 18 studies from various musculoskeletal domains. We critically appraised existing literature, debunking some myths around the advantages of smartphones: the myth that smartphone studies automatically enable high engagement, that they reach more representative samples, that they cost little, and that sensor data is objective. We provide a nuanced view of evidence in these areas and discuss strategies to increase engagement, to reach representative samples, to reduce costs and to avoid potential sources of subjectivity in analysing sensor data.

CONCLUSION

If smartphone studies are designed without awareness of the challenges inherent to smartphone use, they may fail or may provide biased results. Keeping participants of smartphone studies engaged longitudinally is a major challenge. Based on prior research, we provide 6 actions by researchers to increase engagement. Smartphone studies often have participants that are younger, have higher incomes and high digital literacy. We provide advice for reaching more representative participant groups, and for ensuring that study conclusions are not plagued by bias resulting from unrepresentative sampling. Costs associated with app development and testing, data storage and analysis, and tech support are substantial, even if studies use a 'bring your own device'-policy. Exchange of information on costs, collective app development and usage of open-source tools would help the musculoskeletal community reduce costs of smartphone studies. In general, transparency and wider adoption of best practices would help bringing smartphone studies to the next level. Then, the community can focus on specific challenges of smartphones in musculoskeletal contexts, such as symptom-related barriers to using smartphones for research, validating algorithms in patient populations with reduced functional ability, digitising validated questionnaires, and methods to reliably quantify pain, quality of life and fatigue.

Using patient-generated health data in clinical practice: How timing influences its function in rheumatology outpatient consultations

OBJECTIVE

Utilizing patient-generated health data (PGHD) in clinical consultations and informing clinical and shared decision-making processes has the potential to improve clinical practice but has proven challenging to implement. Looking at consultations between people with rheumatoid arthritis (RA) and rheumatologists, this study examines when and how daily PGHD was discussed in outpatient consultations.

METHODS

We conducted a secondary qualitative analysis of 17 audio-recorded research outpatient consultations using thematic and interactional approaches.

RESULTS

Clinicians decided when to look at the PGHD and what symptoms to prioritise during the consultation. When PGHD was introduced early in consultations, it was usually used to invite patients to collaborate (elicit new information). When introduced later, PGHD was used to corroborate patient accounts and to convince the patient about proposed actions and treatments. Clinicians occasionally disregarded PGHD if it did not fit into their clinical assessment.

CONCLUSION

The time that PGHD is introduced may influence how PGHD is used in consultations. Further research is needed to understand how best to empower patients to discuss PGHD.

PRACTICE IMPLICATIONS

Educating patients and clinicians about the importance of timing and strategies when using PGHD in consultations may help promote shared decision-making.

Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making

BACKGROUND

Food practice plays an important role in health. Food practice data collected in daily living settings can inform clinical decisions. However, integrating such data into clinical decision-making is burdensome for both clinicians and patients, resulting in poor adherence and limited utilization. Automation offers benefits in this regard, minimizing this burden resulting in a better fit with a patient's daily living routines, and creating opportunities for better integration into clinical workflow. Although the literature on patient-generated health data (PGHD) can serve as a starting point for the automation of food practice data, more diverse characteristics of food practice data provide additional challenges.

OBJECTIVES

We describe a series of steps for integrating food practices into clinical decision-making. These steps include the following: (1) sensing food practice; (2) capturing food practice data; (3) representing food practice; (4) reflecting the information to the patient; (5) incorporating data into the EHR; (6) presenting contextualized food practice information to clinicians; and (7) integrating food practice into clinical decision-making.

METHODS

We elaborate on automation opportunities and challenges in each step, providing a summary visualization of the flow of food practice-related data from daily living settings to clinical settings.

RESULTS

We propose four implications of automating food practice hereinafter. First, there are multiple ways of automating workflow related to food practice. Second, steps may occur in daily living and others in clinical settings. Food practice data and the necessary contextual information should be integrated into clinical decision-making to enable action. Third, as accuracy becomes important for food practice data, macrolevel data may have advantages over microlevel data in some situations. Fourth, relevant systems should be designed to eliminate disparities in leveraging food practice data.

CONCLUSION

Our work confirms previously developed recommendations in the context of PGHD work and provides additional specificity on how these recommendations apply to food practice.

Digital health for quality healthcare: A systematic mapping of review studies

Objective

To systematically catalogue review studies on digital health to establish extent of evidence on quality healthcare and illuminate gaps for new understanding, perspectives and insights for evidence-informed policies and practices.

Methods

We systematically searched PubMed database using sensitive search strings. Two reviewers independently conducted two-phase selection via title and abstract, followed by full-text appraisal. Consensuses were derived for any discrepancies. A standardized data extraction tool was used for reliable data mining.

Results

A total of 54 reviews from year 2014 to 2021 were included with notable increase in trend of publications. Systematic reviews constituted the majority (61.1%, (37.0% with meta-analyses)) followed by scoping reviews (38.9%). Domains of quality being reviewed include effectiveness (75.9%), accessibility (33.3%), patient safety (31.5%), efficiency (25.9%), patient-centred care (20.4%) and equity (16.7%). Mobile apps and computer-based were the commonest (79.6%) modalities. Strategies for effective intervention via digital health included engineering improved health behaviour (50.0%), better clinical assessment (35.1%), treatment compliance (33.3%) and enhanced coordination of care (24.1%). Psychiatry was the discipline with the most topics being reviewed for digital health (20.3%).

Conclusion

Digital health reviews reported findings that were skewed towards improving the effectiveness of intervention via mHealth applications, and predominantly related to mental health and behavioural therapies. There were considerable gaps on review of evidence on digital health for cost efficiency, equitable healthcare and patient-centred care. Future empirical and review studies may investigate the association between fields of practice and tendency to adopt and research the use of digital health to improve care.

Feasibility of a Digital Patient–Provider Communication Intervention to Support Shared Decision Making in Chronic Health Care, InvolveMe: A Pilot Study (Preprint)

Background

Enhanced communication with health care providers (HCPs) can improve symptom management and health-related quality of life (HRQoL) for patients with chronic health conditions. Access to appropriate communication venues is needed to improve communication, however. As such, digital communication interventions mediated by patient portals carry the potential to support patient-provider communication and interaction and through this, also facilitate shared decision-making (SDM). The InvolveMe intervention was designed to provide patients with the opportunity to communicate symptoms and informational needs prior to consultation via digital assessment, including prioritizing what is most important to discuss with their HCPs, as well as to interact with HCPs through secure messages between outpatient visits.

Objective

The aim of this study was to assess the feasibility of the InvolveMe intervention by investigating acceptability, demand (ie, system use), and limited efficacy.

Methods

The study was designed as a single-arm, pre-post feasibility study combining quantitative and qualitative methods for data collection. Patients from an endocrine outpatient clinic were invited to use the InvolveMe intervention for 3 months, and HCPs administering InvolveMe were invited to participate in a focus group. Guided by descriptions of how to design feasibility studies by Bowen et al, feasibility was tested by exploring (1) acceptability, using data collected during recruitment from patient participants and nonparticipants (ie, declined to participate or did not meet study requirements), HCP experiences with recruitment, and the System Usability Scale (SUS); (2) demand via exploration of system use through extraction of system log data and HCP experiences with system use; and (3) limited efficacy testing, via exploration of potential effects from the Short-Form Health Survey (RAND 36), Hospital Anxiety and Depression Scale, and Health Literacy Questionnaire.

Results

Patient participants (N=23) were a median 54 (range 26-78) years old and primarily male (14/23, 61%). Nonparticipants (N=16) were a median 73 (range 55-80) years old and primarily male (12/16, 75%). The average SUS score was 72.2, indicating good system usability. Assessments were completed by 8 participants from home prior to outpatient visits. The assessments entailed various bodily symptoms and needs for information. Participants sent 17 secure messages related to patient administrative matters, symptoms, and challenges. Focus group participants (N=4) were all female and registered nurses. Data were analyzed in 2 predefined themes: Acceptability and Demand. Acceptability included the subthemes intervention attractiveness and intervention suitability. Demand included the subthemes elements of SDM and intervention challenges and opportunities. All patient participants completed outcome measures at baseline, and 19 (19/23, 83%) completed outcome measures at 3 months. These preliminary efficacy findings were mixed and inconclusive.

Conclusions

The study design provided findings from both patient and HCP perspectives and supported feasibility of the InvolveMe intervention. The investigation of acceptability and demand supported the potential for remote SDM mediated by patient portals using assessments and secure messages.

Trial Registration

ClinicalTrials.gov NCT NCT04218721; https://www.clinicaltrials.gov/ct2/show/NCT04218721

Not Home Alone: Leveraging Telehealth and Informatics to Create a Lean Model for COVID-19 Patient Home Care

In response to the emerging COVID-19 public health emergency in March 2020, the Medical University of South Carolina rapidly implemented an analytics-enhanced remote patient monitoring (RPM) program with state-wide reach for SARS-CoV-2-positive patients. Patient-reported data and other analytics were used to prioritize the sickest patients for contact by RPM nurses, enabling a small cadre of RPM nurses, with the support of ambulatory providers and urgent care video visits, to oversee 1234 patients, many of whom were older, from underserved populations, or at high risk of serious complications. Care was escalated based on prespecified criteria to primary care provider or emergency department visit, with 89% of moderate- to high-risk patients treated solely at home. The RPM nurses facilitated the continuity of care during escalation or de-escalation of care, provided much-needed emotional support to patients quarantining at home and helped find medical homes for patients with tenuous ties to health care.

User-centered design of a scalable, electronic health record-integrated remote symptom monitoring intervention for patients with asthma and providers in primary care

OBJECTIVE

To determine user and electronic health records (EHR) integration requirements for a scalable remote symptom monitoring intervention for asthma patients and their providers.

METHODS

Guided by the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a user-centered design process involving English- and Spanish-speaking patients and providers affiliated with an academic medical center. We conducted a secondary analysis of interview transcripts from our prior study, new design sessions with patients and primary care providers (PCPs), and a survey of PCPs. We determined EHR integration requirements as part of the asthma app design and development process.

RESULTS

Analysis of 26 transcripts (21 patients, 5 providers) from the prior study, 21 new design sessions (15 patients, 6 providers), and survey responses from 55 PCPs (71% of 78) identified requirements. Patient-facing requirements included: 1- or 5-item symptom questionnaires each week, depending on asthma control; option to request a callback; ability to enter notes, triggers, and peak flows; and tips pushed via the app prior to a clinic visit. PCP-facing requirements included a clinician-facing dashboard accessible from the EHR and an EHR inbox message preceding the visit. PCP preferences diverged regarding graphical presentations of patient-reported outcomes (PROs). Nurse-facing requirements included callback requests sent as an EHR inbox message. Requirements were consistent for English- and Spanish-speaking patients. EHR integration required use of custom application programming interfaces (APIs).

CONCLUSION

Using the NASSS framework to guide our user-centered design process, we identified patient and provider requirements for scaling an EHR-integrated remote symptom monitoring intervention in primary care. These requirements met the needs of patients and providers. Additional standards for PRO displays and EHR inbox APIs are needed to facilitate spread.

Evaluation of Technology-Enabled Monitoring of Patient-Reported Outcomes to Detect and Treat Toxic Effects Linked to Immune Checkpoint Inhibitors

IMPORTANCE

Immune checkpoint inhibitors can produce distinct toxic effects that require prompt recognition and timely management.

OBJECTIVE

To develop a technology-enabled, dynamically adaptive protocol that can provide the accurate information needed to inform specific remedies for immune toxic effects in patients treated with immune checkpoint inhibitors.

DESIGN, SETTING, AND PARTICIPANTS

An open-label cohort study was conducted at a single tertiary referral center from September 6, 2019, to September 3, 2020. The median follow-up duration was 63 (interquartile range, 35.5-122) days. Fifty patients with genitourinary cancers treated with immune checkpoint inhibitors were enrolled.

INTERVENTIONS

A fit-for-purpose electronic platform was developed to enable active patient and care team participation. A smartphone application downloaded onto patients' personal mobile devices prompted them to report their symptoms at least 3 times per week. The set of symptoms and associated queries were paired with alert thresholds for symptoms requiring clinical action.

MAIN OUTCOMES AND MEASURES

The primary end point of this interim analysis was feasibility, as measured by patient and care team adherence, and lack of increase in care team staffing. Operating characteristics were estimated for each symptom alert and used to dynamically adapt the alert thresholds to ensure sensitivity while reducing unnecessary alerts.

RESULTS

Of the 50 patients enrolled, 47 had at least 1 follow-up visit and were included in the analysis. Median age was 65 years (range, 37-86), 39 patients (83%) were men, and 39 patients (83%) had metastatic cancer, with the most common being urothelial cell carcinoma and renal cell carcinoma (22 [47%] patients each). After initial onboarding, no further care team training or additional care team staffing was required. Patients had a median study adherence rate of 74% (interquartile range, 60%-86%) and 73% of automated alerts were reviewed within 3 days by the clinic team. Symptoms with the highest positive predictive value for adverse events requiring acute intervention included dizziness (21%), nausea/vomiting (26%), and shortness of breath (14%). The symptoms most likely to result in unnecessary alerts were arthralgia and myalgia, fatigue, and cough.

CONCLUSIONS AND RELEVANCE

The findings of this cohort study suggest an acceptable and fiscally sound method can be developed to create a dynamic learning system to detect and manage immune-related toxic effects.

The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment-experiences of patients and clinicians

Background

Multimorbidity raises the number of essential information needed for delivery of high-quality care in patients with chronic diseases like rheumatoid arthritis (RA). We evaluated an innovative ICT platform for integrated care which orchestrates data from various health care providers to optimize care management processes.

Methods

The Horizon2020-funded research project PICASO (picaso-project.eu) established an ICT platform that offers integration of care services across providers and supports patients’ management along the continuum of care, leaving the data with the owner. Strict conformity with ethical and legal legislations was augmented with a usability-driven engineering process, user requirements gathering from relevant stakeholders, and expert walkthroughs guided developments. Developments based on the HL7/FHIR standard granting interoperability. Platform’s applicability in clinical routine was an essential aim. Thus, we evaluated the platform according to an evaluation framework in an observational 6-month proof-of-concept study with RA patients affected by cardiovascular comorbidities using questionnaires, interviews, and platform data.

Results

Thirty RA patients (80% female) participated, mean age 59 years, disease duration 13 years, average number of comorbidities 2.9. Home monitoring data demonstrated high platform adherence. Evaluations yielded predominantly positive feedback: The innovative dashboard-like design offering time-efficient data visualization, comprehension, and personalization was well accepted, i.e., patients rated the platform “overall” as 2.3 (1.1) (mean (SD), Likert scales 1–6) and clinicians recommended further platform use for 93% of their patients. They managed 86% of patients’ visits using the clinician dashboard. Dashboards were valued for a broader view of health status and patient-physician interactions. Platform use contributed to improved disease and comorbidity management (i.e., in 70% physicians reported usefulness to assess patients’ diseases and in 33% potential influence on treatment decisions; risk manager was used in 59%) and empowered patients (i.e., 48% set themselves new health-related goals, 92% stated easier patient-physician communications).

Conclusion

Comprehensive aggregation of clinical data from distributed sources in a modern, GDPR-compliant cloud platform can improve physicians’ and patients’ knowledge of the disease status and comorbidities as well as patients’ management. It empowers patients to monitor and positively contribute to their disease management. Effects on patients’ outcome, behavior, and changes in the health care systems should be explored by implementing ICT-based platforms enriched by upcoming Artificial Intelligence features where possible.

Trial registration

DRKS—German Clinical Trials Register, DRKS00013637, prospectively registered. 17 January 2018.

Implementing disruptive technological change in UK healthcare: exploring development of a smart phone app for remote patient monitoring as a boundary object using qualitative methods

PURPOSE

Developing technological innovations in healthcare is made complex and difficult due to effects upon the practices of professional, managerial and other stakeholders. Drawing upon the concept of boundary object, this paper explores the challenges of achieving effective collaboration in the development and use of a novel healthcare innovation in the English healthcare system.

DESIGN/METHODOLOGY/APPROACH

A case study is presented of the development and implementation of a smart phone application (app) for use by rheumatoid arthritis patients. Over a two-year period (2015-2017), qualitative data from recorded clinical consultations (n = 17), semi-structured interviews (n = 63) and two focus groups (n = 13) were obtained from participants involved in the app's development and use (clinicians, patients, researchers, practitioners, IT specialists and managers).

FINDINGS

The case focuses on the use of the app and its outputs as a system of inter-connected boundary objects. The analysis highlights the challenges overcome in the innovation's development and how knowledge sharing between patients and clinicians was enhanced, altering the nature of the clinical consultation. It also shows how conditions surrounding the innovation both enabled its development and inhibited its wider scale-up.

ORIGINALITY/VALUE

By recognizing that technological artefacts can simultaneously enable and inhibit collaboration, this paper highlights the need to overcome tensions between the transformative capability of such healthcare innovations and the inhibiting effects simultaneously created on change at a wider system level.

The Impact of SARS-CoV-2 Outbreak on Primary Sjögren's Syndrome: An Italian Experience

Objective: Since no data is available about the personal experience of people with primary Sjögren's syndrome (pSS) with regard to disease burden and management during the novel Severe Acute Respiratory Syndrome coronavirus (SARS-CoV)-2 outbreak, we aimed to explore these aspects with the ultimate goal to identify unmet needs and priorities. Methods: A telephone consultation was scheduled with patients with pSS and information regarding the disease status, ongoing treatment and symptoms/diagnosis of coronavirus disease 2019 (COVID-19) were collected. Clinical records were retrospectively evaluated to gather pre-COVID-19 information. Results: One hundred and two patients with pSS were contacted. Most rheumatology consultations and other pSS-related tests were canceled during the SARS-CoV-2 outbreak. Less than 30% of patients contacted the rheumatologist via telemedicine despite experiencing disease flares or therapy shortage. Disease activity and patient reported symptoms significantly worsened during the closure period. All patients practiced social distancing, most of those employed switched to smart working and different work settings impacted on the type of symptom worsening. Conclusion: This is the first study addressing the personal experience of pSS patients resulting from the impact of the SARS-CoV2 outbreak and it identifies unmet needs and priorities requiring to be addressed. Our findings may help designing individualized strategies.