The investigation drew on de-identified, publicly available data from the 2024 Health Information National Trends Survey, a nationally representative, biennial surveillance program administered by the National Cancer Institute. HINTS collects detailed self-reported information on how American adults access, use, and perceive health information and communication technologies, making it one of the few data sources that simultaneously captures psychosocial measures such as loneliness and behavioral measures such as telehealth engagement. Because the survey uses probability sampling with known design weights, the investigators were able to generalize their findings to the civilian, non-institutionalized adult population of the United States, an analytical advantage over convenience samples of patients at a single health system.

The central analytical strategy involved testing interaction effects. In statistical terms, the team modeled telehealth use as the outcome and loneliness as the primary exposure, then introduced age as a potential effect modifier by fitting interaction terms between loneliness and age categories within weighted logistic regression frameworks. Rather than assuming that the association between loneliness and telehealth use is uniform across the life course, this approach explicitly estimates whether the slope of that relationship differs for younger, middle-aged, and older adults. Survey weighting, stratification, and clustering variables supplied with the public-use data were incorporated to produce valid standard errors, a technical necessity when working with complex, multistage survey designs. This kind of moderation analysis is crucial because averaging effects across age groups can mask opposing patterns that cancel each other out in pooled estimates.

The conceptual motivation for testing age as a modifier is grounded in a well-documented paradox in the loneliness literature. Contrary to popular assumption, coordinated analyses of nine longitudinal studies have shown that loneliness does not simply increase monotonically with age; in fact, young adults in the United States frequently report levels of loneliness that meet or exceed those of older adults, even as older adults remain more likely to face structural isolation through bereavement, living alone, and reduced mobility. At the same time, the pandemic-era expansion of telemedicine exposed a stark digital divide: older adults, particularly those in their seventies and eighties, were far less likely to have the devices, broadband connections, and digital skills required for video visits. Studies during the COVID-19 pandemic found that a substantial fraction of older adults were “telemedicine unreadiness,” lacking both the technological access and the confidence to conduct virtual care on their own. The new study therefore sits at the intersection of two age-sensitive phenomena: a psychosocial burden whose prevalence varies across the life course, and a care delivery modality whose accessibility varies across the same spectrum.

The public health stakes are considerable. The US Surgeon General’s 2023 advisory on the “epidemic of loneliness and isolation” framed social disconnection as a risk factor comparable in magnitude to smoking for all-cause mortality, with documented links to cardiovascular disease, dementia, depression, and anxiety. If lonely individuals rely more heavily on telehealth as a substitute for in-person connection with the health system, virtual care could become a critical touchpoint for identifying and addressing isolation. Conversely, if lonely older adults are precisely the people least able to reach clinicians through digital channels, telehealth may widen rather than narrow health disparities. The findings speak directly to which of these scenarios better describes the American health care landscape as telehealth matures beyond its pandemic-era surge.

Methodologically, the study exemplifies the growing use of national surveillance data for digital health equity research. Prior secondary analyses of HINTS data covering 2017 through 2022 documented that age-based disparities in digital health technology use persisted even as overall adoption accelerated during the COVID-19 pandemic, with older adults consistently trailing in the uptake of patient portals, health apps, and online communication with providers. Other work has compared in-person and telehealth utilization specifically among US adults experiencing loneliness and social isolation, finding patterns of care-seeking that differ by social connectedness status. By using 2024 data, the Anguzu team captures a post-peak period in which telehealth has stabilized as a routine modality rather than an emergency workaround, offering a clearer picture of who, among lonely Americans, actually uses it in the current era.

The moderation question also has implications for interpreting loneliness-reduction interventions delivered remotely. Systematic reviews and meta-analyses of remotely delivered interventions for loneliness in older adults have found that structured programs such as video-based social engagement, telephone befriending, and online cognitive behavioral approaches can meaningfully reduce loneliness, though effects vary by intervention type and delivery format. If the relationship between loneliness and telehealth use is strongest in certain age bands, those groups may be the most natural early adopters of digitally delivered loneliness interventions, while groups showing weaker or reversed associations may need hybrid or in-person outreach. In other words, the effect-modification structure of the loneliness–telehealth relationship is not merely a statistical curiosity; it is a targeting map for intervention design.

The research team reflects a deliberate interdisciplinary composition. Anguzu and Kohlbeck are based in the Division of Global, Community and Environmental Health at the Medical College of Wisconsin’s Institute for Health and Humanity, while Sandra Iregbu brings nursing science expertise from the University of Wisconsin-Milwaukee, Terri deRoon-Cassini contributes from the trauma and injury research sphere, and Sanjay Bhandari, the senior author, is based in the Division of General Internal Medicine, the clinical specialty on the front lines of telehealth adoption. The work was supported in part by the Clinical and Translational Science Institute through the National Center for Advancing Translational Sciences, part of the National Institutes of Health, under award UL1 TR001436. Because the analysis relied exclusively on de-identified, publicly available survey data, the Medical College of Wisconsin Institutional Review Board classified the study as exempt from ethics approval, and the authors declared no conflicts of interest.

Transparency and reproducibility were built into the study’s framework. The investigators made anonymized data available under conditions designed to balance openness with responsible stewardship: external teams must agree to collaborate on publications, secure funding for the administrative burden of data sharing, demonstrate documented training in human subjects protections, and abide by institutional data use agreements. This staged-access model reflects an emerging norm in clinical research, in which publicly funded analyses remain verifiable by independent investigators while protecting the integrity of the original cohort. For a study touching on a sensitive psychosocial state such as loneliness, these protections are particularly salient.

Ultimately, the study’s contribution lies in reframing how the health system should think about lonely patients and virtual care. Telehealth is often marketed as a convenience, a time-saver, or an infection-control tool, but for socially disconnected Americans it may function as something closer to a lifeline, or, depending on age and digital readiness, an inaccessible barrier. By demonstrating that age conditions the loneliness–telehealth relationship, the research argues against one-size-fits-all virtual care policy. Health systems seeking to serve lonely patients may need age-differentiated strategies: robust technical support, simplified interfaces, and telephone-first options for older adults, paired with awareness that younger lonely adults may already be using telehealth at high rates and could be engaged there for screening and connection to community resources. As the Surgeon General’s advisory calls for rebuilding social connection nationwide, studies like this one map the digital terrain on which that rebuilding will either succeed or falter.

The research, published as a concise research report in the Journal of General Internal Medicine, arrived after peer review beginning in April 2026 and acceptance in August of that year, and it adds to a rapidly growing evidence base linking social connection, digital access, and health care utilization. Its message to clinicians is practical: ask about loneliness, but ask differently depending on who is in the virtual waiting room. Its message to policymakers is structural: closing the connectivity and digital literacy gap for older adults is not merely a technology issue but a health equity imperative, one that determines whether the loneliest members of society can reach the care they need through the screens that increasingly mediate modern medicine.

Through meticulous analysis of Medicare billing records from 2018 to 2023 covering 17,742 mental health providers across the United States, the research team stratified clinicians based on their volume of telemedicine usage. By correlating provider telemedicine activity with patient demographics and geographic distribution, the researchers sought to empirically measure whether telemedicine adoption resulted in a significant increase in care for patients living in rural areas or medically underserved communities. The findings, recently published in JAMA Network Open, detail a nuanced and somewhat sobering reality concerning telemedicine’s reach.

Despite high expectations, mental health specialists who engaged most heavily in telemedicine showed only marginal increases in treating patients from rural locales and areas with scarce mental health resources. Specifically, providers with predominant telemedicine practices saw an increase of merely 0.9 percentage points in rural patient caseloads compared to their lower-telemedicine-using peers. Equally modest was the 0.1 percentage point rise in patients from traditionally underserved areas, alongside a 2.6 percentage point increase in patients residing more than 20 miles away from the provider’s location. These figures suggest that telemedicine might not be substantially expanding the breadth of access to new rural or isolated patients, but rather facilitating the maintenance of care for existing patients who have relocated or faced travel barriers.

Intriguingly, the study also highlighted an unintended consequence of telemedicine’s rise: a reduction in the total number of new patient intakes by providers who heavily embraced virtual care. Telemedicine-centric mental health specialists saw 3.6 percentage points fewer new patients in comparison to their colleagues relying less on virtual visits. This decline underscores a potential bottleneck, where telemedicine enhances the capacity to sustain ongoing therapeutic relationships but simultaneously curtails the ability to onboard new patients. Such a trend prompts critical reevaluation of telemedicine’s scalability and its role in addressing systemic shortages in mental health service availability.

These findings compel stakeholders to reconsider the policy frameworks and administrative challenges shaping telemedicine’s impact on mental health care accessibility. One significant barrier identified by the authors is the restrictive and complex nature of cross-state licensure for clinicians. The regulatory landscape often requires mental health professionals to obtain separate licenses to provide care across state lines, creating substantial administrative hurdles that limit the geographic reach of telemedicine services. Streamlining licensure protocols could alleviate these burdens and empower providers to extend care into rural and underserved communities more effectively.

The lead authors emphasize that telemedicine’s untapped potential must be harnessed through targeted policy interventions that address not only technological adoption but also the structural and legal impediments limiting its utility. Simplifying interstate licensing could serve as a pivotal step toward expanding care access. However, the researchers caution that telemedicine alone is not a panacea for mental health disparities; comprehensive strategies are needed to overcome enduring socioeconomic, infrastructural, and systemic barriers that contribute to unequal access.

Importantly, the study’s detailed Medicare billing analysis spanning multiple years offers unique insight into provider behavior and patient demographics during a critical period of health care evolution. By quantifying telemedicine’s limited reach into rural and underserved patient segments, the research challenges prevailing narratives that virtual care is inherently democratizing mental health access. Instead, it paints a more complex picture in which telemedicine’s greatest value may lie in reinforcing continuity of care rather than fundamentally reshaping the geographic and demographic contours of mental health service delivery.

The results also underscore the critical importance of aligning technological innovations with adaptive policy structures to maximize public health impact. As mental health care continues to evolve post-pandemic, policymakers must focus on creating flexible regulatory environments and incentivizing provider participation that targets geographic and social disparities. The authors advocate for legislative momentum that reduces administrative burdens and fosters interstate practice flexibility, potentially enabling broader telemedicine deployment in regions where mental health care access is most precarious.

Moreover, this research invites further investigation into other barriers potentially limiting telemedicine’s efficacy in reaching underserved populations—such as digital infrastructure deficits, broadband access inequalities, and patient-level socioeconomic factors. Addressing these complementary challenges is essential to realizing telemedicine’s full transformative potential and fostering equitable mental health outcomes across diverse communities.

Ultimately, the study calls attention to the complex interplay between technological adoption, regulatory frameworks, and patient access within the mental health care ecosystem. As the health care landscape continues to digitize, the imperative to design telemedicine policies that are both patient-centered and equity-oriented remains paramount. Only through coordinated efforts that integrate technological innovation with systemic reform can telemedicine fulfill its promise of accessible, high-quality mental health care for all.

Subject of Research:
Mental health specialist telemedicine adoption and patient geographic distribution in rural and underserved communities

Article Title:
Mental Health Specialist Telemedicine Uptake and Patient Location

Web References:
http://dx.doi.org/10.1001/jamanetworkopen.2026.0823

Keywords:
Telemedicine, Mental Health, Rural Health Care Access, Underserved Communities, Psychiatry, Psychology, Telepsychiatry, Health Policy, Licensing, Medicare, COVID-19 Pandemic, Health Services Research

The study, conducted by Eaton et al., offers profound insights into how healthcare providers can enhance patient engagement and outcomes by leveraging ePRO tools. By digitizing patient-reported outcomes, clinicians can receive real-time data that reflect the patient’s experience, needs, and progress. This digital transformation could create critical pathways not only for mental health interventions but also for better management of substance use disorders in HIV-positive populations.

One of the fundamental barriers highlighted in this qualitative research is the digital divide that exists among patients. Many individuals, especially those from marginalized communities, face challenges in accessing technology. This digital gap can hinder the implementation of innovative ePRO systems, thus preventing a significant portion of the patient population from benefiting from these advancements. Addressing this barrier will require a multi-faceted approach, including the provision of necessary digital literacy training and wider access to electronic devices.

Another significant theme emerging from the research is the concern of data security and privacy. Patients often exhibit reluctance in sharing sensitive health information electronically, fearing potential breaches of confidentiality. Clinicians and healthcare administrators must prioritize establishing robust data protection measures to alleviate these fears. Building trust among patients through transparency about how their data will be used and protected is essential for successful ePRO implementation.

Convenience is a double-edged sword in the context of ePRO screening. While the ease of completing assessments at home can facilitate higher patient engagement, concerns about the accuracy of self-reported data can diminish its perceived value among healthcare providers. Clinicians in the study expressed reservations about relying solely on patient-reported outcomes without a comprehensive clinical assessment. Finding a balance between these two approaches is critical for optimizing patient care.

Moreover, the study emphasizes the importance of training for healthcare providers. Many professionals in HIV clinics may not feel adequately equipped to utilize ePRO tools effectively. Investing in training programs that enhance providers’ proficiency with technology and data interpretation is vital for successful integration of ePRO systems into practice. These programs should also educate clinicians on the potential benefits of ePRO screenings, such as improved patient engagement and clinical outcomes.

In terms of organizational culture, the openness of clinic environments to change is a crucial facilitator for the successful implementation of ePRO tools. Clinics with a culture of innovation are more likely to embrace technological advancements, providing a fertile ground for new practices. Conversely, resistance to change can significantly impede the adoption of ePRO systems, underscoring the need for leadership that actively champions such initiatives.

Patient engagement plays a pivotal role in the effective implementation of ePRO screening. The study reveals that when patients are actively involved in the decision-making process regarding their care and the tools used in their treatment, they are more likely to embrace these technologies. Creating an environment that fosters shared decision-making can empower patients and drive higher compliance rates with ePRO assessments.

Beyond individual barriers, systemic issues are equally at play. The study points out that funding constraints can impede the development and deployment of electronic screening tools. Many clinics operate on tight budgets, leaving little room for investing in technological innovations. Advocating for policies that support funding for e-health initiatives can pave the way for improved mental health care through technology.

The qualitative nature of this study provides an in-depth understanding of the lived experiences of both patients and healthcare providers in HIV clinics. By utilizing interviews and focus groups, the researchers were able to capture a wide array of perspectives, bringing to light real-world challenges and successes in implementing ePRO screening. This approach enhances the reliability of the data and underscores the importance of considering all stakeholders in health interventions.

As we look to the future, the insights gleaned from this research offer a roadmap for integrating ePRO screens into clinical practice effectively. The demands of the modern healthcare system require adaptive and innovative solutions to meet the needs of diverse populations holistically. By addressing barriers such as the digital divide and enhancing provider training, health systems can better serve their patients.

Collectively, this study contributes significantly to the field of health services research, especially in its focus on a population that often faces compounded health challenges. By understanding and addressing the barriers to ePRO implementation, healthcare providers can ultimately foster better health outcomes for individuals living with HIV, mental illness, and substance use disorders, enhancing the quality of life across these intersecting health issues.

In conclusion, as the evidence mounts regarding the benefits of ePRO systems, it is incumbent upon healthcare systems to navigate the challenges and implement these tools effectively. The call for innovation in health delivery is resonant now more than ever, and by prioritizing patient-centered strategies, we can usher in an era of enhanced healthcare delivery that meets the needs of all patients.

By channeling technology into the heart of patient care, we stand on the brink of a transformative movement toward more responsive and responsible health care systems. The path forward is clear; embracing electronic patient reported outcomes is not merely an option but an imperative in this new wave of healthcare evolution.

Subject of Research: Barriers and facilitators to implementing electronic patient reported outcome screening for mental illness and substance use disorders at HIV clinics in Alabama.

Article Title: Barriers and facilitators to implementing electronic patient reported outcome screening for mental illness and substance use disorders at HIV clinics in Alabama: a qualitative study.

Article References:

Eaton, E., McCollum, C.G., Gagnon, K.W. et al. Barriers and facilitators to implementing electronic patient reported outcome screening for mental illness and substance use disorders at HIV clinics in Alabama: a qualitative study.
BMC Health Serv Res 25, 1462 (2025). https://doi.org/10.1186/s12913-025-13596-7

Image Credits: AI Generated

DOI: https://doi.org/10.1186/s12913-025-13596-7

Keywords: ePRO, mental health, HIV, technology integration, patient engagement, healthcare innovation.