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

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.

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.