Patient Demographics and Clinic Type Are Associated With Patient Engagement Within a Remote Monitoring Program

Patient Engagement With and Perceptions of the COVIDA Project, a Volunteer-Led Telemonitoring and Teleorientation Service for COVID-19 Community Management: Mixed Methods Study

BACKGROUND

During the pandemic in Peru, the COVIDA (Collaboration Network of Volunteer Brigade Members for the Investigation, Detection, and Primary Management of Community Cases Affected by COVID-19) project proposed an innovative way to provide telemonitoring and teleorientation to COVID-19 patients, led by health care student volunteers. However, it has not been described how this interaction is perceived from the patient's perspective and which factors increase their engagement with this service.

OBJECTIVE

The aim of this study is to describe the perceptions of patients about COVIDA and identify factors associated with their engagement with this service.

METHODS

A mixed methods study was conducted to evaluate perceptions of patients that participated in the COVIDA project. This telehealth intervention organized by the National University of San Marcos was implemented in Peru from August to December 2020. The service involved daily phone calls by volunteer students to monitor registered COVID-19 patients until the completion of the 14th day of the illness or if a warning sign was identified. The volunteers also provided teleorientation to address the patients' needs and concerns. Quantitative analysis was performed to describe the characteristics of the patients and to assess the factors related to their engagement with the service, which was defined by the percentage of participants who completed the follow-up according to their individual schedule. Qualitative analysis through semistructured interviews evaluated the patients' perceptions of the service regarding the aspects of communication, interaction, and technology.

RESULTS

Of the 770 patients enrolled in COVIDA, 422 (55.7%) were female; the median age was 39 (IQR 28-52) years. During the monitoring, 380 patients (49.4%) developed symptoms, and 471 (61.2%) showed warning signs of COVID-19. The overall median for engagement was 93% (IQR 35.7%-100%). Among those patients who did not develop warning signs, engagement was associated with the presence of symptoms (OR 3.04, 95% CI 2.22-4.17), a positive COVID-19 test at the start of follow-up (OR 1.97, 95% CI 1.48-2.61), and the presence of comorbidities (OR 1.83, 95% CI 1.29-2.59). Patients reported that the volunteers provided clear and valuable information and emotional support. Communication via phone calls took place smoothly and without interruptions.

CONCLUSIONS

COVIDA represents a well-accepted and well-perceived alternative model for student volunteers to provide telemonitoring, teleorientation, and emotional support to patients with COVID-19 in the context of overwhelmed demand for health care services. The deployment of this kind of intervention should be prioritized among patients with symptoms and comorbidities, as they show more engagement with these services.

Patient perceptions of remote patient monitoring program for hypertensive disorders of pregnancy

PURPOSE

The utilization of remote patient monitoring (RPM) with home blood pressure monitoring has shown improvement in blood pressure control and adherence with follow-up visits. Patient perceptions regarding its use in the obstetric population have not been widely studied. The aim of this study was to assess patients' knowledge about hypertensive disorders of pregnancy and perceptions and satisfaction of the RPM program.

METHODS

Descriptive analysis of survey responses of patients with PPHTN enrolled into the RPM program for 6 weeks after delivery between October 2021 and April 2022. Surveys were automatically administered at 1-, 3-, and 6-week postpartum. Responses were further compared between Black and non-Black patient-reported race.

RESULTS

545 patients received the RPM program. Of these, 306 patients consented to data collection. At 1 week, 88% of patients that responded reported appropriately that a blood pressure greater than 160/110 is abnormal. At 3 weeks, 87.4% of patients responded reported they were "very" or "somewhat" likely to attend their postpartum follow-up visits because of RPM. At 6 weeks, 85.5% of the patients that responded were "very" or "somewhat" satisfied with the RPM program. Responses were not statistically different between races.

CONCLUSIONS

Majority of postpartum patients enrolled in the RPM program had correct knowledge about hypertension. In addition, patients were highly satisfied with the RPM program and likely to attend postpartum follow-up based on responses. Further research is warranted to validate these findings and to address any barriers for patients who did not utilize the program.

Associations Between Sociodemographic Factors And Interest in Remote Patient Monitoring Among Arkansas Residents

Introduction: Remote patient monitoring (RPM) has the power to transform health care delivery, as it allows for the digital transmission of individual health data to health care professionals, providing the most up-to-date information to be able to make medical decisions. Although RPM use has grown exponentially during the pandemic, there is limited information on the association between sociodemographic characteristics and interest in RPM use in underserved areas of the United States after the onset of the pandemic. Methods: We conducted a survey via random digit dialing of 2201 adults living in Arkansas in March of 2022. Weighted estimates were generated using rank ratio estimation to approximate the 2019 American Community Survey 1-year Arkansas estimates for race/ethnicity, age, and gender. We fit a partial proportional odds model using weighted generalized ordered logistic regression to examine adjusted odds ratios (ORs) for interest in RPM. Predictors included sociodemographic characteristics, nativity, health care access, and self-rated health. Results: Results indicate respondents who were age 60 or older had lower odds of interest in RPM than those between the ages 18-39 (OR = 0.61). Hispanic adults had lower odds of reporting interest in RPM (OR = 0.68), and non-Hispanic adults of other races/ethnicities had lower odds of reporting any interest at all (OR = 0.67) or interest greater than a little (OR = 0.67) in RPM compared with non-Hispanic White respondents. However, respondents who had previously used telehealth had greater odds of reporting higher levels of interest in RPM than those who had not previously used it (OR = 1.93). Discussion: Interest in RPM use is associated with several sociodemographic factors. Future work is needed to understand and address RPM reluctance and to increase interest in RPM among marginalized and underserved populations who may need these services.

OpenSAFELY: The impact of COVID-19 on azathioprine, leflunomide and methotrexate monitoring, and factors associated with change in monitoring rate

AIMS

The COVID-19 pandemic created unprecedented pressure on healthcare services. This study investigates whether disease-modifying antirheumatic drug (DMARD) safety monitoring was affected during the COVID-19 pandemic.

METHODS

A population-based cohort study was conducted using the OpenSAFELY platform to access electronic health record data from 24.2 million patients registered at general practices using TPP's SystmOne software. Patients were included for further analysis if prescribed azathioprine, leflunomide or methotrexate between November 2019 and July 2022. Outcomes were assessed as monthly trends and variation between various sociodemographic and clinical groups for adherence with standard safety monitoring recommendations.

RESULTS

An acute increase in the rate of missed monitoring occurred across the study population (+12.4 percentage points) when lockdown measures were implemented in March 2020. This increase was more pronounced for some patient groups (70-79 year-olds: +13.7 percentage points; females: +12.8 percentage points), regions (North West: +17.0 percentage points), medications (leflunomide: +20.7 percentage points) and monitoring tests (blood pressure: +24.5 percentage points). Missed monitoring rates decreased substantially for all groups by July 2022. Consistent differences were observed in overall missed monitoring rates between several groups throughout the study.

CONCLUSION

DMARD monitoring rates temporarily deteriorated during the COVID-19 pandemic. Deterioration coincided with the onset of lockdown measures, with monitoring rates recovering rapidly as lockdown measures were eased. Differences observed in monitoring rates between medications, tests, regions and patient groups highlight opportunities to tackle potential inequalities in the provision or uptake of monitoring services. Further research should evaluate the causes of the differences identified between groups.

Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study

BACKGROUND

Patient engagement attrition in mobile health (mHealth) remote patient monitoring (RPM) programs decreases program benefits. Systemic disparities lead to inequities in RPM adoption and use. There is an urgent need to understand patients' experiences with RPM in the real world, especially for patients who have stopped using the programs, as addressing issues faced by patients can increase the value of mHealth for patients and subsequently decrease attrition.

OBJECTIVE

This study sought to understand patient engagement and experiences in an RPM mHealth intervention in lung transplant recipients.

METHODS

Between May 4, 2020, and November 1, 2022, a total of 601 lung transplant recipients were enrolled in an mHealth RPM intervention to monitor lung function. The predictors of patient engagement were evaluated using multivariable logistic and linear regression. Semistructured interviews were conducted with 6 of 39 patients who had engaged in the first month but stopped using the program, and common themes were identified.

RESULTS

Patients who underwent transplant more than 1 year before enrollment in the program had 84% lower odds of engaging (odds ratio [OR] 0.16, 95% CI 0.07-0.35), 82% lower odds of submitting pulmonary function measurements (OR 0.18, 95% CI 0.09-0.33), and 78% lower odds of completing symptom checklists (OR 0.22, 95% CI 0.10-0.43). Patients whose primary language was not English had 78% lower odds of engaging compared to English speakers (OR 0.22, 95% CI 0.07-0.67). Interviews revealed 4 prominent themes: challenges with devices, communication breakdowns, a desire for more personal interactions and specific feedback with the care team about their results, understanding the purpose of the chat, and understanding how their data are used.

CONCLUSIONS

Care delivery and patient experiences with RPM in lung transplant mHealth can be improved and made more equitable by tailoring outreach and enhancements toward non-English speakers and patients with a longer time between transplant and enrollment. Attention to designing programs to provide personalization through supplementary provider contact, education, and information transparency may decrease attrition rates.

Asynchronous Telemedicine: A Systematic Literature Review

Background

Asynchronous telemedicine (ATM), which describes telemedical interaction between a patient and provider where neither party communicates simultaneously, is an important telemedicine modality that is seeing increased use. In this article, we summarize the published peer-reviewed literature specifically related to ATM to (1) identify terms or phrases that are used to describe ATM, (2) ascertain how this research has thus far addressed the various aspects of the quadruple aim of medicine, and (3) assess the methodological rigor of research on ATM. We also divided the literature into pre- and post-COVID-19 onset periods to identify potential variations in the literature between these two periods.

Methods

This systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search, utilizing multiple databases and applying inclusion and exclusion criteria, initially produced 2624 abstracts for review. De-duplication and screening ultimately yielded 104 articles for data extraction.

Results

"Store-and-forward" and variations of "e-visit" were the most frequently used alternative terms for ATM. Care quality was the most frequently addressed aspect of the Quadruple Aim of Medicine-more than double any other category-followed by patient satisfaction. We separated cost of care into two categories: patients' cost of care and providers' cost to provide care. Patient cost of care was the third most addressed aspect of the Quadruple Aim of Medicine followed by provider well-being and provider's cost to provide care. Methodological rigor of the studies was also addressed, with only 2 quantitative studies ranked "Strong," 5 ranked "Moderate," and 97 ranked "Weak." Qualitative studies were generally acceptable but struggled methodologically with accounting for all participants and articulation of results.

Conclusions

Although "store-and-forward" is somewhat more frequently used in the studies included in this review, variants of "e-visit," are growing in recent usage. Given the relative newness of modality, it is not surprising that quality of care is the most researched aspect of the Quadruple Aim of Medicine in ATM research. We anticipate more balance between these areas as research in this field matures. Primary areas of research need currently relate to practitioners-specifically their costs of providing care and well-being. Finally, future ATM research needs to address research challenges of selection bias and blinding in quantitative studies and improved participant tracking and articulation of both study design and results in qualitative studies.

Characteristics Associated With Telemonitoring Use Among Patients With Chronic Heart Failure: Retrospective Cohort Study

BACKGROUND

Chronic heart failure (HF) is a chronic disease affecting more than 64 million people worldwide, with an increasing prevalence and a high burden on individual patients and society. Telemonitoring may be able to mitigate some of this burden by increasing self-management and preventing use of the health care system. However, it is unknown to what degree telemonitoring has been adopted by hospitals and if the use of telemonitoring is associated with certain patient characteristics. Insight into the dissemination of this technology among hospitals and patients may inform strategies for further adoption.

OBJECTIVE

We aimed to explore the use of telemonitoring among hospitals in the Netherlands and to identify patient characteristics associated with the use of telemonitoring for HF.

METHODS

We performed a retrospective cohort study based on routinely collected health care claim data in the Netherlands. Descriptive analyses were used to gain insight in the adoption of telemonitoring for HF among hospitals in 2019. We used logistic multiple regression analyses to explore the associations between patient characteristics and telemonitoring use.

RESULTS

Less than half (31/84, 37%) of all included hospitals had claims for telemonitoring, and 20% (17/84) of hospitals had more than 10 patients with telemonitoring claims. Within these 17 hospitals, a total of 7040 patients were treated for HF in 2019, of whom 5.8% (409/7040) incurred a telemonitoring claim. Odds ratios (ORs) for using telemonitoring were higher for male patients (adjusted OR 1.90, 95% CI 1.50-2.41) and patients with previous hospital treatment for HF (adjusted OR 1.76, 95% CI 1.39-2.24). ORs were lower for higher age categories and were lowest for the highest age category, that is, patients older than 80 years (OR 0.30, 95% CI 0.21-0.44) compared to the reference age category (18-59 years). Socioeconomic status, degree of multimorbidity, and excessive polypharmacy were not associated with the use of telemonitoring.

CONCLUSIONS

The use of reimbursed telemonitoring for HF was limited up to 2019, and our results suggest that large variation exists among hospitals. A lack of adoption is therefore not only due to a lack of diffusion among hospitals but also due to a lack of scaling up within hospitals that already deploy telemonitoring. Future studies should therefore focus on both kinds of adoption and how to facilitate these processes. Older patients, female patients, and patients with no previous hospital treatment for HF were less likely to use telemonitoring for HF. This shows that some patient groups are not served as much by telemonitoring as other patient groups. The underlying mechanism of the reported associations should be identified in order to gain a deeper understanding of telemonitoring use among different patient groups.

Dissemination of Remote Patient Monitoring: An Academic-Community Primary Care Partnership in South Carolina

CONTEXT

Remote patient monitoring (RPM) for diabetes and hypertension may reduce barriers to patient care, leading to improved disease control and decreased morbidity and mortality.

PROGRAM

We describe the implementation of a community-academic partnership to improve diabetes and hypertension control for underserved populations using RPM.

IMPLEMENTATION

In 2014, our academic medical center (AMC) began working with community health centers (CHCs) to implement a centrally monitored RPM program for patients with diabetes. AMC nurses recruited, trained, and supported community partners through regular communication. Community sites were responsible for enrollment, follow-up visits, and all treatment adjustments.

EVALUATION

More than 1350 patients have been enrolled across 19 counties and 16 predominantly rural CHCs. The majority of patients reported low annual household income and African American or Hispanic background. It took about 6 to 9 months of planning at each CHC prior to first enrolled patient. More than 30% of patients utilizing the newer device continued to transmit glucose readings regularly at week 52 of enrollment. Hemoglobin A 1c data reporting was completed for more than 90% of patients at 6 and 12 months postenrollment.

DISCUSSION

Partnering of our AMC with CHCs enabled dissemination of an effective, inexpensive tool that engaged underserved populations in rural South Carolina and improved chronic disease management. We supported implementation of clinically effective diabetes RPM programs at several CHCs, reaching a large number of historically underserved and underresourced rural CHC patients with diabetes. We summarize key steps to achieving a successful, collaborative RPM program through AMC-CHC partnerships.

Predictors of adherence to electronic self-monitoring in patients with bipolar disorder: a contactless study using Growth Mixture Models

BACKGROUND

Several studies have reported on the feasibility of electronic (e-)monitoring using computers or smartphones in patients with mental disorders, including bipolar disorder (BD). While studies on e-monitoring have examined the role of demographic factors, such as age, gender, or socioeconomic status and use of health apps, to our knowledge, no study has examined clinical characteristics that might impact adherence with e-monitoring in patients with BD. We analyzed adherence to e-monitoring in patients with BD who participated in an ongoing e-monitoring study and evaluated whether demographic and clinical factors would predict adherence.

METHODS

Eighty-seven participants with BD in different phases of the illness were included. Patterns of adherence for wearable use, daily and weekly self-rating scales over 15 months were analyzed to identify adherence trajectories using growth mixture models (GMM). Multinomial logistic regression models were fitted to compute the effects of predictors on GMM classes.

RESULTS

Overall adherence rates were 79.5% for the wearable; 78.5% for weekly self-ratings; and 74.6% for daily self-ratings. GMM identified three latent class subgroups: participants with (i) perfect; (ii) good; and (iii) poor adherence. On average, 34.4% of participants showed "perfect" adherence; 37.1% showed "good" adherence; and 28.2% showed poor adherence to all three measures. Women, participants with a history of suicide attempt, and those with a history of inpatient admission were more likely to belong to the group with perfect adherence.

CONCLUSIONS

Participants with higher illness burden (e.g., history of admission to hospital, history of suicide attempts) have higher adherence rates to e-monitoring. They might see e-monitoring as a tool for better documenting symptom change and better managing their illness, thus motivating their engagement.

Stop the Divide: Facilitators and Barriers to Uptake of Digital Health Interventions Among Socially Disadvantaged Populations

Background: The coronavirus disease 2019 pandemic ushered in rapid adoption of telehealth services. This study examines patient and provider experience and provides recommendations for facilitating the use of digital health interventions among socially disadvantaged populations. Methods: This qualitative study was conducted from May to July 2021 via semistructured interviews. Forty patients and 30 primary care providers (PCPs) in Louisiana were recruited within an integrated delivery health system and a rural health center. Technology acceptance models were used to develop a thematic coding scheme. Results: Most patients self-identified as Black (67.5%) and female (72.5%), had a mean age of 51 years, lived in an urban area (76.9%), and had Medicaid (57.9%). Most PCPs were White (79.3%) and male (51.7%), had a mean age of 39 years, and reported Medicaid as the predominant insurer (58.6%). Patient use of smartphones for internet access to health and nonhealth activities was common. PCPs noted the need to address misinformation or misinterpretation of information on the internet. Most patients had used a patient portal (72.5%) and noted the convenience of messaging. PCPs reported large increases in messaging workloads. Most patients had had telemedicine visits (65.6%); however, Wi-Fi/broadband problems limited video visits. PCPs expressed concerns regarding the types of chief complaints that are appropriate for telemedicine visits and reported workflow inefficiencies when clinic sessions had mixed visit types. Patients and PCPs valued remote telemonitoring as adjuncts to care; however, limited service availability and insurance coverage were barriers. Conclusion: Infrastructure barriers (broadband, insurance) and workload imbalance temper enthusiasm for using digital health solutions. Health systems should implement complementary patient and provider user-centric strategies for facilitating uptake of technology.

Neuroethics in the Era of Teleneurology

The accelerating integration of telehealth technologies in neurology practice has transformed traditional interactions between neurologists and patients, allied clinicians and society. Despite the immense promise of these technologies to improve systems of neurological care, the infusion of telehealth technologies into neurology practice introduces a host of unique ethical challenges. Proactive consideration of the ethical dimensions of teleneurology and of the impact of these innovations on the field of neurology more generally can help to ensure responsible development and deployment across stages of implementation. Toward these ends, this article explores key ethical dimensions of teleneurology practice and policy, presents a normative framework for their consideration, and calls attention to underexplored questions ripe for further study at this evolving nexus of teleneurology and neuroethics. To promote successful and ethically resilient development of teleneurology across diverse contexts, clinicians, organizational leaders, and information technology specialists should work closely with neuroethicists with the common goal of identifying and rigorously assessing the trajectories and potential limits of teleneurology systems.

Health information technology and equity: Applying history's lessons to tomorrow's innovations

Health and health care disparities are widespread with major impacts on outcomes for children and families. Inequitable care is poor quality care. Though health IT has the potential to improve disparities, health IT implementation can have unintended consequences of widening, maintaining, or creating disparities by disproportionately benefiting advantaged children, adolescents, and their caregivers. Narrowing disparities can be achieved by embracing an approach that places marginalized patients at the center of health IT design and implementation. Health care systems can leverage the disparity-reducing potential of health information technologies by housing innovation within an equity framework. Initial steps include evaluating for disparities exacerbated by health IT, implementing universal precautions to prevent health IT intervention-generated inequalities, and co-designing future innovations with marginalized communities. By directly addressing community needs, health IT systems designed to effectively benefit underserved children, adolescents, and their caregivers have the potential to yield more equitable health care IT, and better outcomes for our young patients.

The COVID-19 Pandemic as an Opportunity to Improve Health Care Through a Nurse-Coordinated Multidisciplinary Model in a Headache Specialist Center: The Implementation of a Telemedicine Protocol

Background: Due to coronavirus disease-19 (COVID-19) pandemic, Italian outpatient clinics were suspended in March-April 2020 and subsequently slowed down. Telemedicine was shown to be useful in headache clinics, despite absence of a detailed protocol for its development. Objective: To describe the implementation of a structured telemedicine protocol during COVID-19 pandemic. Materials and Methods: Since May 2020, we performed a quality improvement study in a Headache Specialist Center in central Italy. We involved patients who had in-person follow-up visits scheduled during suspension and initial reopening of clinics. Patients had two appointments with a nurse specialized in headache care and a headache physician, respectively, using Microsoft Teams^®. The service is still active. We collected sociodemographic and clinical characteristics of patients, technical details of telemedicine visits, patient feedback, medical judgment about complexity of clinical decisions, and need for in-person re-evaluation. We also performed a Strengths-Weaknesses-Opportunities-Threats analysis to provide a realistic picture of the service. Results: We performed 207 telemedicine visits involving 100 patients with a median age of 44 (interquartile range [IQR]: 35-56) years; 76.0% were women and lived at a median of 68 (IQR: 24-109) km from the Center. Thirty-nine (39.0%) were visited for migraine without aura. Patients mostly used a computer (68.1% visits) with high audio-video quality in 93.2% of visits. First and second appointments lasted in median 20 (IQR: 14-25) minutes and 9 (IQR: 7-13) minutes, respectively. Interacting with patients was very easy in 66.7% of visits. Patients reported no difficulty in sharing documents and high satisfaction in 78.6% and 93.5% of visits, respectively. Perceived complexity of clinical decisions was generally low (86.5%), whereas 8.2% of cases required in-person re-evaluation. Conclusions: Telemedicine facilitated follow-ups, ensuring multidisciplinary care and high patient satisfaction, justifying its wider adoption in headache care.

Can Remote Patient Monitoring Be the New Standard in Primary Care of Chronic Diseases, Post-COVID-19?

Background: One lesson from the current COVID-19 pandemic is the need to optimize health care provision outside of traditional settings, and potentially over longer periods of time. An important strategy is remote patient monitoring (RPM), allowing patients to remain at home, while they transmit health data and receive follow-up services. Materials and Methods: We conducted an overview of the latest systematic reviews that had included randomized controlled trials with adult patients with chronic diseases. We summarized results and displayed these in forest plots, and used GRADE (Grading of Recommendations Assessment, Development, and Evaluation) to assess our certainty of the evidence. Results: We included 4 systematic reviews that together reported on 11 trials that met our definition of RPM, each including patients with diabetes and/or hypertension. RPM probably makes little to no difference on HbA1c levels. RPM probably leads to a slight reduction in systolic blood pressure, with questionable clinical meaningfulness. RPM probably has a small negative effect on the physical component of health-related quality of life, but the clinical significance of this reduction is uncertain. We have low confidence in the finding that RPM makes no difference to the remaining five primary outcomes. Conclusion: Most of our findings are consistent with reviews of other, broader definitions of RPM. The type of RPM examined in this review is as effective as standard treatment for patients with diabetes/hypertension. If this or other types of RPM are to be used for "long covid" patients or for other chronic disease groups post-pandemic, we need to understand why RPM may negatively affect quality of life.