Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 15 appraisals
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future
BACKGROUND: Military and peace-support operations increasingly depend on medical capability delivered under difficult circumstances: distance, limited number of specialists, disrupted connectivity, and mass-casualty risk. Consequently, military health care systems operate during missions in uniquely constrained and high-risk environments, ranging from remote bases and naval platforms to active combat zones and humanitarian missions. These mission contexts demand rapid, reliable, and scalable medical solutions that can function despite limited personnel, infrastructure, and connectivity. METHOD: By reviewing existing literature and considering several different programs for military health care using telehealth and artificial intelligence (AI), the key performance indicators are explored to evaluate the synergy of telehealth and AI, following its implementation. RESULTS: Telehealth has become an increasingly important component of modern health care and holds the promise of increasing access to (special) health care without moving the patient but the information. Telehealth also enables continuity of care on missions and has already demonstrated its value in extending medical expertise across distance, while AI is evolving rapidly as a powerful enabler of decision support, automation, and predictive analytics in the medical field. As AI capabilities mature, several medical specialties may benefit, particularly in medical imaging, through faster triage, more consistent interpretation, and better prioritization of scarce specialist time. It also contributes to "decision support "while making proposals based on big data, machine learning and AI (e.g., in a Trauma registry). Telehealth provides the communication backbone that preserves these interactions and enables safe use of AI-enabled support in dispersed operations. CONCLUSIONS: The convergence of telehealth and AI in military health care will lead to a strategic capability with increased efficiency and enhance readiness, resilience, access to medical care, and quality of care for military personnel, including faster and more accurate diagnoses and better patient monitoring. Both technologies (AI and telehealth) are expected to continue to advance and play an even larger role in optimizing health care in the military.
3 Aug 2026
Read appraisal →Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Telehealth Competency Evaluation Tools: A Scoping Review
INTRODUCTION: Telehealth is an integral part of healthcare. Exposure to telehealth education is essential for both students and health care professionals to support its effective adoption and appropriate utilization. This scoping review aims to explore whether and which telehealth competencies are being assessed and the methods used to evaluate them among health care professionals and students. METHODS: An electronic literature search was performed using six electronic databases between January 2024 and February 2025. We included studies where telehealth competencies or their components were evaluated by some type of tool (validated or researcher created). Strict inclusion and exclusion criteria were used, and each article was evaluated by at least two reviewers. RESULTS: Out of 1,217 articles screened by title and abstract, 75 met inclusion criteria, with 36 of those selected for inclusion in this review. Participants were evaluated mostly by researcher-created tools that lacked psychometric properties or adapted nontelehealth evaluation tools. Few validated/reliable tools directly measured telehealth competencies. DISCUSSION: The results of this review illustrate there exists a lack of available validated/reliable evaluation tools to appraise telehealth competencies. Few studies included an evaluation of all telehealth competencies but rather focused only on communication and technology proficiency; none evaluated the appropriate use of telehealth or digital disparities. CONCLUSIONS: More research is needed to develop validated telehealth evaluation tools that can be used across disciplines and encompass all telehealth competencies. Additionally, true research methods are needed to adequately assess the impact of telehealth education on the performance and confidence of learners.
3 Aug 2026
Read appraisal →PloS one
Artificial intelligence for early detection of diabetic retinopathy: A vision transformer-based approach
BACKGROUND: Early identification of diabetic retinopathy (DR), which is a primary cause of vision impairment globally, is a crucial phasis for effective intervention and treatment. Traditional screening workflows rely on manual diagnosis by ophthalmologists, which remains the gold standard but can be time-consuming and subject to variability due to human factors. To support and enhance the screening process, artificial intelligence (AI)-based tools have shown promise in automating DR detection, particularly with recent advances in deep learning. However, medical images with long-range dependencies and spatial linkages can be challenging for CNN-based algorithms to handle. METHODS: This paper proposes a Vision Transformer (ViT)-based model, specifically using a Compact Convolutional Transformer (CCT), for early automated detection of DR. The model uses self-attention techniques to improve feature extraction and classification performance; combining three main stages: the CCT tokenizer, transformer encoder, and sequence pooling. The proposed approach was trained on public datasets (EyePACS and APTOS 2019) and evaluated against state-of-the-art deep learning architectures. RESULTS: Our experimental findings demonstrate that ViT performs among the best in the current state of the art with an overall accuracy of 97% and F1-scores above 0.95 across all DR severity levels. Our system is primarily designed for the pre-screening stage of diabetic retinopathy workflows, enabling rapid and reliable identification of potential DR cases for further clinical evaluation. CONCLUSION: These results highlight the potential of transformer-based designs in medical picture analysis, as well as the implications for telemedicine and e-health solutions in real-time, especially in cases of low-resource settings.
28 July 2026
Read appraisal →Journal of the American College of Surgeons
Defining Quality Metrics for Telemedicine in Surgery: A Critical Examination
The rapid adoption of telemedicine has transformed healthcare delivery in the US, enhancing access and communication for surgical patients across wide geographic areas. However, a critical challenge persists: the need to define and standardize quality metrics specifically for telemedicine in surgery. Existing studies suggest that telemedicine can yield equivalent or improved outcomes compared with in-person visits. Nevertheless, literature remains limited in evaluating patient satisfaction, cost-effectiveness, and diagnostic accuracy. Through expert consensus within the American College of Surgeons Board of Governors Telehealth Pillar, we propose a structured framework for defining and implementing quality metrics for surgical telemedicine. This is based on the Donabedian model, addressing structure, process, and outcome, while also considering the distinct phases of surgical care: preoperative, intraoperative, and postoperative. This framework identifies unique domains of telemedicine in surgical care, emphasizing hospital and organizational structure, patient and provider readiness, and policy alignment. A comparative analysis with existing AHRQ and WHO frameworks highlights gaps in surgical applicability. Finally, we propose an implementation roadmap prioritizing immediate, feasible metrics while identifying areas for future validation. Collaboration among researchers, clinicians, and policymakers will be essential to establish these metrics and ensure that telemedicine delivers on its potential to improve surgical care delivery while addressing disparities in access and outcomes.
18 July 2026
Read appraisal →Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Utilization of Telemedicine Among Offshore Health Care Workers and Its Influencing Factors
INTRODUCTION: Telemedicine has become an essential tool for providing health care to offshore workers. Despite its advancements, there is still a lack of understanding about its optimal use and the factors affecting it among health care providers in offshore settings. The objective of this work was to study and determine the level of telemedicine utilization among offshore health care workers and its associated factors in Malaysia. METHODS: In this cross-sectional study, online questionnaires were distributed to health care workers involved in offshore medical services. The questionnaire includes sociodemographic information and the validated Malay version of the Telemedicine Acceptance Model (TAM) Questionnaire. A total of 73 offshore health care workers were recruited from a local company using universal sampling. Data analysis involved descriptive statistics as well as simple and multiple logistic regression. RESULTS: A total of 65.8% of offshore health care workers reported using telemedicine in their practice. Multiple logistic regression analysis indicated that Chinese and Indian workers were significantly more likely to use telemedicine compared with Malay workers, with adjusted odds ratios of 32.11 (p = 0.045) and 33.51 (p = 0.037), respectively. Workers with a good attitude toward telemedicine had 11.84 times higher odds of utilization (p = 0.004), while those with high behavioral intention were 25.80 times more likely to use telemedicine compared with their counterparts with low behavioral intention (p < 0.001). CONCLUSIONS: A majority of offshore health care workers utilize telemedicine, with Chinese and Indian ethnicity, good attitude, and high behavioral intention significantly predicting its utilization.
3 July 2026
Read appraisal →Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Application of Telemedicine for Mission Support-Importance of a Cost-Benefit Analysis
BACKGROUND: Digital health is more relevant now than ever before, and interventions have a clear potential to improve the quality of care while reducing health care costs. Telemedicine has emerged as a transformative approach to health care delivery, particularly accelerated by the COVID-19 pandemic. In mission environments, telemedicine increasingly supports the management of acute injuries, chronic conditions, predeployment screening, and follow-up assessments, often using low-bandwidth store-and-forward modalities. METHOD: By reviewing existing literature and considering several different (heterogeneous) programs for "telemedicine for mission support," the key performance indicators are explored to evaluate telemedicine in missions, following its implementation. Both acute and chronic care use cases, as well as operational, clinical, and technical determinants of feasibility, were considered. RESULTS: This article presents the clinical, operational, and economic benefits of "telemedicine in missions" and the metrics for a comprehensive cost-effectiveness analysis or cost-benefit analysis, considering its economic and clinical impacts. CONCLUSIONS: Telemedicine in missions shows considerable differences from other telemedicine applications depending on the actors and the resulting circumstances. Considering the heterogeneity of the metrics provided, even within the field of "telemedicine in missions," the analyses have to be conducted in accordance with the encountered conditions. Nevertheless, a set of metrics can be applied to nearly all use cases across the different applications and actors. A mission-adaptable minimum data set is proposed to support standardized evaluation across diverse operational contexts.
3 July 2026
Read appraisal →Journal of diabetes science and technology
The Impact of Virtual Consultations on Quality of Care for Patients With Type 2 Diabetes: A Systematic Review and Meta-Analysis
BackgroundVirtual consultations (VC) have transformed healthcare delivery, offering a convenient and effective way to manage chronic conditions such as Type 2 Diabetes (T2D). This systematic review and meta-analysis evaluated the impact of VC on the quality of care provided to patients with T2D, mapping it across the six domains of the US National Academy of Medicine (NAM) quality-of-care framework (ie, effectiveness, efficiency, patient-centeredness, timeliness, safety, and equity).MethodsA systematic search was conducted in PubMed/MEDLINE, Cochrane, Embase, CINAHL, and Web of Science for the period between January 2010 and December 2024. Eligible studies involved adult T2D patients, evaluated synchronous VCs, and reported outcomes relevant to NAM quality domains. Two independent reviewers performed screening, and studies were assessed using the Mixed Methods Appraisal Tool (MMAT). A narrative synthesis was conducted for each quality domain, and a meta-analysis of HbA1c levels was performed using random-effects models.ResultsIn total, 15 studies involving 821 014 participants were included. VCs were comparable with face-to-face care in effectiveness, efficiency, patient-centeredness, and timeliness, with improvements in accessibility and patient satisfaction. Mixed results were found for safety due to limitations in physical assessments, and for equity, with older adults and those with lower digital literacy facing more challenges. The meta-analysis showed no significant difference in HbA1c reduction between VCs and face-to-face (standardized mean difference [SMD] = -0.31, 95% confidence interval [CI]: -0.71 to 0.09, P = 0.12).ConclusionVCs offer a promising alternative to in-person care, but addressing digital disparities and improving access for older adults are essential for maximizing VC potential.
2 July 2026
Read appraisal →Journal of the American Medical Informatics Association : JAMIA
Disparate language and model effects on AI-based translation and recognition of genetic conditions.
INTRODUCTION: Artificial intelligence (AI) is increasingly prevalent. Patients and clinicians may use AI-based tools in many different languages. OBJECTIVE: To investigate AI translation tools for descriptions of genetic conditions and how AI identification of genetic conditions is affected by translations. MATERIALS AND METHODS: We used Neural machine translation (NMT) and large language-model (LLM) translation to translate descriptions of 40 genetic conditions into 191 and 93 languages, respectively. Excluding translations retaining English medical terms verbatim, we respectively focused on 139 and 70 languages. After assessing translations, we assessed the ability of 3 proprietary and 3 open-weight general LLMs to identify conditions in the translations. We analyzed how accuracy was affected by the conditions' prevalence in the literature, and attributes of the languages (the script, language family, and prevalence of the language in training sources). We also investigated adaptive translation for select languages. RESULTS: We found significant differences in condition identification based on the translation method, condition, language, and prediction model. The accuracy of some models was more affected than others by factors like the conditions' literature prevalence, language script, family, and language prevalence. Adaptive translation for select languages did not improve translations or diagnostic accuracy with the 3 tested LLMs. However, further analysis with 1 language showed that this approach was more effective with smaller LLMs. CONCLUSIONS: AI-based translation has variable performance, which can affect the ability of AI models to recognize genetic conditions. These findings should inform safe medical AI use to support consistent performance in different languages.
2 July 2026
Read appraisal →Journal of special operations medicine : a peer reviewed journal for SOF medical professionals
Telemedicine Consultation: Lessons Learned from the Pararescue Experience
BACKGROUND: Telemedicine is a critical military medicine capability in austere, remote, and denied environments where prolonged casualty care and knowledge gaps exist. Despite significant military investment in telemedicine, the literature lacks detailed lessons from real-world cases. METHODS: U.S. Air Force Pararescue missions between 1 January 2010 and 31 December 2020 that included telemedicine consultation were reviewed. Participating flight surgeons (FS) and Pararescuemen (PJ) were interviewed, and available after-action reports were analyzed. Mission parameters, outcomes, and technical or human factors affecting communication were evaluated. RESULTS: Across 13 telemedicine consultations, the 28 patients experienced: cave entrapment (13), trauma (7), burns (4), and illness (4). Consultations were from PJ to FS (11), U.S. Coast Guard to FS (1), and FS to neurosurgery (1). Secondary consultations (7) were from FS to dental (1), dermatology, burn/critical care, orthopedics (2), pediatric anesthesiology, and thoracic surgery specialists. Missions used voice over mobile or satellite phone, text, and email. Recommendations commonly involved medication selection (6), advisement against mission launch (3), and burn care (2). Consultation effectiveness was impacted by unclear directions (3) and degraded communications (2). CONCLUSION: Telemedicine is valuable to PJs during complicated cases and rarely performed procedures, but cannot replace pre-deployment medical exposure and training. Rehearsals may optimize telemedicine, and training should focus on synchronizing a shared mental model of the patient using well-understood patient report and evaluation tools (ATMIST and MARCH PAWS). Telemedicine may reduce human error, give medics the confidence to take action, and limit the psychological impact of difficult care decisions.
29 June 2026
Read appraisal →Journal of medical Internet research
Effectiveness of a Home-Based and Group-Based Tele-Exercise Program for Breast Cancer Survivors: Pilot Randomized Controlled Trial
BACKGROUND: Breast cancer remains the most prevalent cancer among women globally. Adjuvant therapies can cause adverse effects that compromise physical and mental health. Exercise may mitigate these effects; however, many breast cancer survivors remain insufficiently active. OBJECTIVE: This pilot study aimed to test the effectiveness of a 7-week theory-informed tele-exercise intervention for breast cancer survivors in Hong Kong. METHODS: We developed a 12-week theory-informed tele-exercise intervention for breast cancer survivors in Hong Kong; this pilot tested a 7-week abbreviated version. In this 2-group randomized controlled pilot trial, 34 individuals were assessed for eligibility, and 27 were randomized; 24 completed baseline and were included in the modified intention-to-treat analyses (12 per group). The intervention comprised a progressively supervised group-based tele-exercise intervention transitioning to unsupervised sessions, combined with psychological counseling. Outcomes were guided by the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework, with emphasis on feasibility, acceptability, and preliminary effects. RESULTS: Recruitment was 79.4% (27/34) and baseline-to-post retention was 100% (24/24), with satisfactory attendance (87.7%) and compliance (85.3%) in the intervention group. Acceptability was high. Preliminary signals of improvement were observed in cardiorespiratory fitness (primary outcome), lower-extremity strength, balance, affected-side shoulder range of motion, and health-related quality of life. CONCLUSIONS: This pilot supports the feasibility and acceptability of tele-exercise for breast cancer rehabilitation and provides preliminary evidence to justify a larger trial with longer follow-up to assess sustained effects and broader applicability.
29 June 2026
Read appraisal →Familial cancer
When screentime fails: initiative to improve completion of hereditary cancer genetic testing after telemedicine counseling.
Telemedicine has broadened access to genetic counseling while maintaining high levels of patient satisfaction. However, emerging evidence suggests lower completion rates of genetic testing following virtual visits compared with in-person encounters. This study evaluated genetic testing completion rates among patients who underwent cancer risk assessment via telemedicine and assessed the effect of a structured follow-up telephone reminder on genetic testing completion. We conducted a retrospective review of a quality improvement initiative - Genetic Engagement via Navigation and Encouragement (GENE CALL) - designed to address incomplete genetic testing following telemedicine counseling. The study included all patients who underwent virtual cancer risk assessment between September 2023 and July 2024 at a single urban academic cancer genetics program. Patients who expressed interest in genetic testing but had not scheduled specimen collection were contacted by telephone as a reminder. During the call, patients were asked about ongoing interest in testing and barriers to scheduling; they were also offered assistance completing specimen collection. Among 647 patients evaluated via telemedicine, 469 (72.5%) expressed interest in genetic testing. Of these, 290 (61.8%) had scheduled or completed testing, while 179 (38.2%) had not. Among those who had not scheduled testing, 120 (67.0%) were successfully reached by telephone, and 98 (81.7%) confirmed ongoing interest in completing testing. At 3-month follow-up, 48 (40.0%) of the 120 contacted patients had completed testing, compared with 13 (22.0%) of 59 patients who were not reached (p = 0.017). Telephone follow-up is an effective strategy to improve genetic testing completion after virtual counseling.
27 June 2026
Read appraisal →Brain impairment : a multidisciplinary journal of the Australian Society for the Study of Brain Impairment
Validating telehealth assessment of physical concussion symptoms
BACKGROUND: Telehealth could expand access to specialised concussion care; however, physiotherapists report low confidence in assessing physical symptoms remotely. This study adapted measures of vestibular, oculomotor, cervical and autonomic function for telehealth delivery, and evaluated their feasibility and comparability with in-person assessment. METHODS: Using a repeated-measures design, 16 participants with concussion and 20 controls completed assessment modalities in random order (3 × 4 block randomisation). Feasibility was evaluated through completion rates, technical issues, adverse events and clinician feedback. Concurrent validity was examined using percentage agreement, Cohen's kappa, and sensitivity and specificity analyses. RESULTS: Telehealth assessment was feasible; most concussion participants and all controls completed the protocols, there were minimal technical issues, no adverse events and shorter administration times. Clinicians reported high usability and efficiency. High agreement and sensitivity were observed across vestibular, ocular convergence, autonomic and cervical range of motion measures. Nuanced assessment of ocular smooth pursuits showed lower agreement, and a potential ceiling effect on autonomic assessment was identified. CONCLUSION: This study preliminarily supports the feasibility and comparability of telehealth compared with in-person physical concussion assessments. Assessment of smooth pursuits and autonomic function require protocol refinement to enhance accuracy. Replication in larger samples is required to establish comparability.
27 June 2026
Read appraisal →Journal of medical Internet research
Policy Considerations for National Virtual Hospitals: Global Evidence and the Seha Virtual Hospital Model
Health systems worldwide face growing pressure from population aging, multimorbidity, and rising emergency admissions, prompting reconsideration of traditional inpatient care models. In response, digitally enabled models such as tele-intensive care unit (tele-ICU) programs, hospital-at-home services, virtual wards, and other remote specialist pathways have expanded, particularly after the COVID-19 pandemic accelerated telemedicine adoption and cross-site virtual staffing. However, nationally coordinated, multispecialty virtual hospitals remain uncommon worldwide, and robust evidence on their system-level effects is still limited. As a result, policy discussions about national virtual hospitals must often draw on evidence from related virtual-care models rather than from mature national implementations. This viewpoint synthesizes representative international evidence from tele-ICU systems, hospital-at-home programs, virtual wards, telestroke networks, and other condition-specific virtual-care pathways, and examines Saudi Arabia's Seha Virtual Hospital (SVH) as a national case study to identify policy lessons relevant to the design, governance, and evaluation of national virtual hospitals. Across settings, these models suggest that remote and digitally supported care can achieve outcomes comparable to in-person hospital care when patient selection is appropriate, escalation and transfer pathways are explicit, monitoring intensity matches clinical risk, and multidisciplinary teams are integrated into local workflows. Tele-ICU programs have reported reductions in intensive care mortality and length of stay under well-structured organizational models, while hospital-at-home and virtual-ward programs have shown comparable safety, reduced hospital usage, and improved patient experience among selected patient groups. Telestroke networks likewise demonstrate outcomes comparable to specialist in-person care in acute stroke pathways. Nevertheless, the evidence base remains heterogeneous and strongly context-dependent. Much of the literature is short-term, with limited consistent evidence on long-term outcomes, caregiver burden, cost-effectiveness, workforce implications, and digital equity. SVH illustrates the emerging implementation of a centralized national virtual hospital model. Launched in 2022 under Saudi Arabia's Vision 2030 Health Sector Transformation Program, SVH operates as a national telehealth hub embedded within the country's broader digital-health ecosystem and links hospitals across the Kingdom to specialized clinical expertise. Its service portfolio includes urgent and critical care consultations, specialized virtual clinics, multidisciplinary case discussions, and supportive diagnostic services. Early reports indicate rapid operational expansion, broad institutional participation, and national-scale feasibility. However, independent comparative evidence evaluating SVH's effects on mortality, readmissions, length of stay, cost-effectiveness, equity, and workforce sustainability remains limited. National virtual hospitals should therefore be understood as evidence-generating health-system innovations rather than fully validated care models. Sustainable scale-up requires embedding rigorous prospective evaluation within implementation, aligning financing mechanisms with substitution of inpatient care, establishing clear governance and regulatory frameworks, and addressing digital inclusion and workforce sustainability. These considerations can help guide policymakers and health-system leaders in the accountable, equitable, and evidence-informed development of national virtual hospital programs.
25 June 2026
Read appraisal →The Journal of nursing administration
Virtual Nursing Programs in Acute Care Settings: A Scoping Review of Patient, Nurse, and System-Level Outcomes
OBJECTIVE: To synthesize the literature on the influence of virtual nursing (VN) on patient, nurse, and system-level outcomes in acute care. BACKGROUND: Persistent nursing workforce challenges, including staff shortages and turnover, have been intensified by the COVID-19 pandemic, rising patient acuity, and increasing documentation demands. Many health systems have adopted VN programs, where remote nurses support bedside staff using audiovisual technology. Although these programs are rapidly expanding, evidence of their effectiveness remains limited. METHODS: These authors conducted a scoping review following PRISMA guidelines. Eleven studies reporting patient, nurse, or system-level outcomes were included. RESULTS: Most studies were cross-sectional pilots. Evidence was strongest for nurse and patient satisfaction, with reports of improved discharge efficiency, reduced administrative burden, and higher patient satisfaction. Findings for other outcomes, including safety indicators and financial metrics, were inconsistently reported. CONCLUSIONS: Virtual nursing shows promise for enhancing patient satisfaction and workflow efficiency, but cannot replace investments in sufficient bedside staff and resources.
21 June 2026
Read appraisal →JMIR formative research
Clinician Decision-Making Around Offering Home Video Telehealth Visits: Qualitative Study
BACKGROUND: Use of in-home video telehealth rapidly expanded in response to the COVID-19 pandemic, including at Veterans Affairs (VA), a forerunner in telehealth. Despite this uptick, differences in use by patient age and rurality created a digital divide that persists to this day. While clinicians frequently cite patients' older age and lack of technical skills as barriers to in-home video telehealth, it remains unclear how clinicians decide whether to offer video visits to patients and to what extent these beliefs may hinder offering video visits to older adults. Gathering perspectives from clinician users of in-home video telehealth may illuminate opportunities to ensure continued access to care through solutions such as telehealth. OBJECTIVE: This study aimed to examine clinician decision-making around the offer of in-home video telehealth to understand how interprofessional clinicians determine to whom they offer in-home video telehealth and what factors (organizational, personal, or attitudinal) influence their decision. METHODS: We conducted a qualitative study by using semistructured interviews. Participants were interprofessional clinicians (N=16) employed by 11 different VA hospitals and included 1 clinical pharmacist, 6 medical doctors, 2 nurse practitioners, 1 occupational therapist, 3 psychologists, 1 physical therapist, 1 speech-language pathologist, and 1 social worker. All the participants had at least some experience using in-home video telehealth from locations across VA (the largest integrated health care system in the United States) and were interviewed over a 6-month period. Interviews focused on clinicians' use of video telehealth and the decision-making process involved in offering in-home video telehealth. We used directed content analysis with a rapid analytic approach, given the time-pressured nature of our project. RESULTS: This study revealed that clinician decision-making around offering in-home video visits is complex and influenced by several domains, namely, (1) clinician factors, including experience with video and perceived benefits of video; (2) appointment factors, including the visit's clinical goal; (3) clinician-reported patient factors, including age and willingness to try video; (4) patient social context, including caregiver availability; (5) geographical factors, such as availability of reliable high-speed internet and patient distance from the medical center; and (6) health system factors, including technical support and clinician ability to work from home. Access to in-home video telehealth may be facilitated by clinician familiarity and confidence with telehealth technology, strategies to improve patients' technical skills, and support for caregivers. Infrastructure also plays an important role, including device availability, broadband reliability, and clear protocols for matching services to video visits. CONCLUSIONS: Findings highlight the importance of clinician competency in telehealth, patient and caregiver digital readiness, and a supportive technology infrastructure to equitable in-home video care. In addition, improved guidance for specific clinical services and awareness of potential biases may enable consistent, accessible telehealth delivery for older adults and medically complex populations.
20 June 2026
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