The Importance of Digital Health Literacy in an Evolving Parkinson’s Disease Care System

Telehealth

Telehealth, which encompasses the use of real-time audio-visual technology to examine, monitor, and provide medical care, is well-suited for PD given the predominantly visual nature of the exam as well as the progressive disability experienced by individuals with PD that may impede travel to in-person appointments. Research has demonstrated the short- and long-term feasibility [18–21], patient/provider satisfaction [22–24], cost savings [18, 26], and validity [27] of telehealth visits in PD. Successful management of PD requires multidisciplinary care, and prior research has demonstrated the ability to deliver rehabilitative therapy services and other treatments (Fig. 1). For example, virtual delivery of the Lee Silverman Voice Treatment (LSVT) has proven effective [28], being noninferior to in-person therapy [29]. Successful remote physical therapy assessments and exercise programs have been reported [30, 31], including a 7-week virtual therapy program that resulted in a significant improvement in physical performance [31]. A randomized controlled trial of telephone-based cognitive behavior therapy for depression in PD resulted in a significant reduction in depressive symptoms compared to community-based in-person treatment [32]. With an expansion in services available through telehealth, it is increasingly important that individuals with PD possess the necessary digital health literacy to access these essential services.

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Fig. 1

Uses of digital health technologies in Parkinson’s disease care.

The COVID-19 pandemic led to a significant surge in telehealth visits for PD in early 2020. The proportion of individuals with PD participating in telehealth rose from 10% before the pandemic to 64% during its initial stages [33]. A global survey sponsored by the International Parkinson and Movement Disorder Society Telemedicine Group in 2020 confirmed the widespread increase in telehealth utilization [34]. However, despite its rapid expansion, a survey revealed that telehealth usage was highest among individuals with PD who had higher incomes, higher levels of education, and who were white [33]. An academic movement center observed that Black individuals were less likely to engage in telehealth compared to white individuals [22].

Despite the substantial growth and potential advantages of telehealth in PD care, there are still notable challenges that must be addressed. A cohort study involving 258 individuals with PD who completed follow-up telehealth visits found that only approximately 30% of participants agreed that video visits were “better overall,” and even fewer felt they received “better care” [20]. Although telehealth visits became necessary during the pandemic, not all patients expressed a desire to continue with such visits post-pandemic; one study reported that only 26–48% of individuals with PD planned to continue with telehealth visits [35]. In a single-center study of over 60,000 telehealth visits conducted across various disciplines during the COVID-19 pandemic, visits with poor connectivity, extended wait times, or difficulties being seen, examined, or understood by the provider were associated with lower patient satisfaction [36]. Low digital health literacy may be one important driver of dissatisfaction with telehealth visits.

While telehealth visits have ebbed as the pandemic has receded, they are here to stay. We must consider the challenges posed by telehealth visits and ensure that individuals with PD have the necessary level of digital health literacy to make proper use telehealth visits when appropriate. Individuals must possess several different technological skills to successfully complete a telehealth visit and exchange health information. For example, individuals with PD must successfully navigate one of a myriad of videoconferencing platforms [37], troubleshoot any technological problems that arise, successfully adjust their camera to facilitate examination, and navigate an online patient portal system in order to obtain a visit summary. And the process is likely to differ from healthcare system-to-healthcare system and even provider-to-provider, placing an even higher burden on individuals with PD. Concerns persist regarding limited digital literacy among individuals with PD [34, 38]. Robust educational outreach efforts and technical resources are needed to improve digital health illiteracy, foster engagement and participation in the exciting growing field of telehealth, and improve clinical outcomes in PD care.

Remote programming in deep brain stimulation

Deep brain stimulation (DBS) therapy is a well-established surgical treatment for select individuals with PD. The consultation process for DBS typically involves multi-disciplinary screening evaluations to identify optimal candidates for improved outcomes, along with extensive patient education. Patient education materials for DBS are often accessed through internet-based resources, which may be challenging for those with lower digital health literacy. Additionally, available patient education materials for DBS are often written above the recommended sixth-grade educational level set by the National Institutes of Health and American Medical Association [39–41]. This is compounded by patients often lacking understanding of basic brain structure and function, which further hinders their ability to make informed decisions about their health. In a recent randomized controlled study, the use of a 3D printed brain model during patient education for DBS surgery consultation was shown to improve patient confidence and understanding of the therapy compared to patient education alone, thus enhancing health literacy [39].

The efficacy of DBS treatment is highly dependent not only on the selection of ideal candidates but on proper programming [42] and telehealth can play a role in both. Remote evaluation for deep brain stimulation candidacy has been shown to be both feasible and economical [43]. Asynchronous and synchronous remote programming are available for DBS management. With asynchronous programming, a schedule of programming adjustments may be prescribed and communicated through electronic medical record (EMR) messages. In addition, patient programmer settings can be set to allow for pre-determined adjustments, which can be implemented by the individual or an experienced caregiver under the guidance of a DBS specialist during a video-based telehealth session.

Synchronous remote programming enables real-time adjustments during telehealth visits. Remote DBS programming has been available in China since 2017 with two manufacturers, PINS Medical and SceneRay Corporation, Ltd., and more recently in the US with the introduction of Abbott’s Neurospheretrademark Virtual Clinic in 2021. Research has demonstrated that remote DBS programming is safe and effective [44], and saves significant travel time and reduces costs [45–47]. A recent survey reported patient satisfaction with the Abbott DBS programming interface, and the majority of respondents felt that the visits were comparable to in-person visits [48]. Remote DBS programming may be particularly helpful in certain cases, such as when frequent adjustments are required or to address stimulation side effects that were not seen during the programming session [49]. Despite these exciting advances, not all patients are comfortable with this technology or possess the digital health literacy to properly adjust treatment, and may have cognitive, motor, or psychiatric impairment which can pose further challenges for remote DBS care. To provide equitable access to such advanced technology, we must ensure that individuals with PD are able to appropriately evaluate the pros and cons of such technology and navigate the programmers.

In June 2020, Medtronic introduced the first brain signal sensing DBS system, Percept PCtrademark. The Percepttrademark system utilizes Brainsensetrademark technology, which enables sensing and recording of local field potentials through the contacts adjacent to the active stimulation contact [50]. While this device is not capable of real-time remote programming as previously described, it can be configured so patients can track different “events.” This information can be reviewed by the clinician at a follow-up visit and potentially provide guidance for a more optimal programming configuration. BrainSensetrademark technology is a preliminary step towards developing a commercialized system that can deliver adaptive (closed-loop) stimulation, which may eventually enable the DBS system to modify settings without the need for a clinical intervention [49]. Ultimately, this may be a more viable option for individuals with PD with limited digital health literacy, providing even more opportunities for this subgroup.

A disparity in access to DBS already exists and as DBS technology advances, we must prioritize inclusivity. According to one study, white individuals with PD are five times more likely than Black individuals to undergo DBS [51]. Asian individuals, Black individuals, women and individuals from a socioeconomically marginalized group are less likely to undergo DBS [52]. In a recent study of remote DBS programming, participants were required to be fluent in English and 91% of those assigned to remote DBS programming were white [53]. To achieve health equity, future studies should show a commitment to be inclusive of individuals from underserved groups, non-English speakers, and those with less access to technology.

Wearables and smartphone applications

Sensor-based digital health technologies, such as smartphones and wearables, are increasingly being recognized as means to provide comprehensive, objective, real-world assessment of individuals with PD and improve care. Such technology is already readily available. Approximately 85% of U.S. adults own a smartphone [54], and 20% wear a smart watch or fitness tracker [55]. Research studies suggest that digital health technologies can be used to measure specific PD motor constructs [56], assess gait [57–59], track physical activity [60], measure sleep parameters [61], monitor response to medications [62, 63], detect motor fluctuations [62, 63], and predict meaningful events [64]. While for the most part this research has not yet translated to clinical practice, there are many commercially available fitness trackers and PD-specific digital products [65, 66], and the time is quickly approaching. Individuals with PD are beginning to expect a certain amount of familiarity with these approaches on the part of their healthcare team. In turn, healthcare teams are beginning to consider use of these digital health technologies to inform clinical management.

The use of sensor-based digital health technologies to capture personal health data requires an understanding of how to select the appropriate device for the intended use, the ability to perform a range of different digital skills (e.g., proper wear, charging, completion of health assessments, uploading and transmission of health data), and an understanding of how to interpret the data. While no studies have specifically examined digital health literacy in PD, much less with specific emphasis on sensor-based digital health technologies, usability studies that examine the ease of use of digital health technologies may inform our understanding. One study examined the usability of a digital health system (smartwatch, smartphone and wearable inertial monitoring unit) among individuals with PD over a 7-day monitoring period and found a high median usability score that inversely correlated with age [67]. In a separate qualitative study, individuals with PD identified wearable device design (e.g., need for battery replacement) as a potential barrier to use [68]. In another study, usability of a camera system was influenced by age and motor impairment while the usability of a tablet-based application was influenced by cognitive status and digital health literacy [69]. These results need to be interpreted with caution as individuals who participate in such studies are a self-selected group likely to have more familiarity with digital health technologies than the general PD population. However, such work highlights that digital solutions need to be tailored to the specific population and that successful use of digital health technologies may be dependent on age and/or disease stage.