Telemedicine and e-Health

With the coronavirus disease 2019 (COVID-19) pandemic, use of telehealth technology increased dramatically. Nonpharmacological approaches to pain management may be well suited for virtual care. Yet, it is not widely understood if this treatment modality is effective when delivered via videoconferencing. This review examines the effectiveness of movement-based and psychologically informed chronic pain management interventions delivered via videoconferencing compared to in-person care.

Searches of MEDLINE^® (via Ovid^®), Embase (via Elsevier), CINAHL Complete (via EBSCO), and Cochrane Central Register of Controlled Trials (via Ovid) were performed from inception to June 10, 2021. All articles meeting eligibility criteria were included for data abstraction.

Eight thousand two hundred fifty-two citations were identified, and after removing duplicates, 4,661 citations remained. One study investigating acceptance and commitment therapy met eligibility criteria. The noninferiority randomized trial found no statistically significant difference in outcomes between delivery modalities. A horizon scan was conducted to assess planned or recent studies. Horizon scan results yielded six protocols in trial databases, one pilot study, and three published protocols for ongoing studies.

Findings from this study indicate that virtually delivered pain management is a possible substitute for in-person care. Given the paucity of evidence on this topic, further comparative and adequately powered studies that assess the impact of movement-based and psychologically informed pain management delivered via videoconferencing are needed.

Research is needed to understand patient preferences of such interventions within a variety of settings. Such evaluations will be needed to guide clinical and operations practice to optimize equitable deployment and access to high-quality health care delivered via videoconferencing.

Digital health technology (DHT) has the potential to enhance remote health care delivery. However, little is known about the effectiveness of DHTs and factors that contribute to the limited uptake of DHTs in low- and middle-income countries (LMICs). Therefore, the objective of this study was to systematically review the effectiveness and evaluation process concerning the use of DHTs in pharmaceutical care in LMICs.

A literature search on PubMed and Embase was conducted to identify experimental, descriptive, qualitative, and mixed-method studies that focused on the use of DHTs in pharmaceutical care as the main intervention, reported on the effects and/or the process of the DHT intervention, were performed by pharmacists, were conducted in LMICs, and had been published in English. Two reviewers independently conducted the study selection process. A qualitative narrative review of the effectiveness of using DHTs was conducted evaluating the population, intervention, comparators, and outcomes. We summarized the content and identified themes of the evaluation process under two categories—challenges and opportunities.

The search produced 589 studies, of which 16 met the eligibility criteria. The most common type of DHT was mobile health application (mHealth app; n = 8), followed by mobile phone call (n = 6) and mobile video call (n = 2). Eight studies assessed the effectiveness of using DHTs in pharmaceutical care. mHealth app, mobile phone call, mobile video call, text messages, home telemonitoring, and internet-based drug information centers improved some health-related outcomes. Two of these eight studies, however, did not find significant effects of a phone call or an mHealth app on certain health-related outcomes. Of the seven quantitative studies conducting a process evaluation, all showed that patients were satisfied with the use of DHTs in pharmaceutical care provided by pharmacists. Of the two mixed-methods and one qualitative study assessing the process evaluation concerning DHT usage, three distinct themes of challenges (patient-, DHT-, and health care system-related challenges) and opportunities (patient-, DHT-, and pharmacist-related opportunities) were identified.

DHT is a promising approach in pharmaceutical care toward improving health-related outcomes in LMICs, despite the variable intervention effects. The challenges and opportunities identified are important considerations when developing and implementing DHTs in pharmaceutical care in LMICs.

Little is known about how expansion of telemedicine services during the COVID-19 pandemic has affected access to gender-affirming care for transgender and gender-diverse (TGD) youth. The purpose of this study was to explore differences in demographic characteristics and visit completion rates at a multidisciplinary gender clinic before and after telemedicine implementation in March 2020 and among telemedicine users and nonusers.

Data were from electronic health records of Seattle Children's Gender Clinic (SCGC) patients seen between April 2019 and February 2021. We assessed differences in demographic characteristics and care utilization (i.e., encounter type and status) between April 2019 and February 2020 (pre-telemedicine) and April 2020 and February 2021 (post-telemedicine).

Of the 1,051 unique patients seen at SCGC during this time period, majority groups were as follows: 62% identified as transmasculine/male, 68% were non-Hispanic White, and 76% resided within 50 miles of the clinic. Statistically significant differences were observed in patient pronouns and insurance type when comparing the pre- and post-telemedicine periods (p < 0.01). Half (52%) of post-telemedicine period encounters were conducted through telemedicine, and telemedicine encounters were significantly more likely to be completed (72% vs. 50%) and less likely to be canceled (21% vs. 46%) compared with in-person encounters.

Telemedicine services facilitated continued access to gender-affirming care services for TGD youth during the COVID-19 pandemic. Although the introduction of telemedicine did not exacerbate demographic disparities in access to this care, further research and interventions are warranted to address the ongoing disparities in access to gender-affirming care for youth of color and rural youth.

This study aimed to evaluate the post-COVID-19 symptoms, the severity of symptoms, and functional capacities seen in hospitalized and nonhospitalized COVID-19 survivors according to time periods (total 6, 1–3, and 3–6 months) by tele-assessment methods and to predict the need for periodic rehabilitation of COVID-19 survivors.

Three hundred ninety-four COVID-19 survivors (50.18 ± 15.14 years) who were between 1 and 6 months after PCR(+) were included in the study, and their ongoing symptoms and the severity of these symptoms (0–10 points) were assessed with COVID-19 Yorkshire Rehabilitation Screening (C19-YRS) Tool, and the 30-s Chair Stand Test (CST) was applied by tele-assessment methods.

In hospitalized and nonhospitalized survivors of COVID-19, 87% experienced at least one symptom within the first 6 months. The most prevalent symptoms were anxiety (47.7%), fatigue (46.7%), and muscle pain (45.7%). The most common symptom in the nonhospitalized group was fatigue (52.6%), whereas anxiety was 46.8% in the hospitalized group. The 30-s CST score of the nonhospitalized group was significantly higher than the hospitalized group (p < 0.001).

In the first 6 months post-COVID-19, musculoskeletal problems, anxiety, fatigue, and muscle pain were observed to be the most prevalent symptoms, regardless of time, in hospitalized and nonhospitalized survivors. There was a serious decrease in their functional capacity. Priority should be given to psychiatric, cardiopulmonary, and musculoskeletal rehabilitation in post-COVID-19. Inclusion of hospitalized/nonhospitalized COVID-19 survivors in a comprehensive rehabilitation program tailored to their needs by following a comprehensive tele-assessment by a multidisciplinary team will reduce the “long COVID-19 syndrome.”

NCT04900441

The COVID-19 pandemic demanded rapid development of telemedicine services for pediatric care and highlighted disparities for marginalized communities.

To understand the demographic characteristics of patients with completed and incomplete telemedicine visits at Ann and Robert H. Lurie Children's Hospital of Chicago.

This was a cross-sectional retrospective analysis of telemedicine visits for patients <25 years old scheduled between March 21, 2020, and March 17, 2021. We examined visit outcomes and compared outcomes by race/ethnicity, language, and payer using logistic regression. Geographic information system mapping and linear regression were used to examine the relationship between incomplete visits and broadband access within Cook County.

A total of 13,655 eligible video visits were scheduled for children within 147 ZIP codes during the study time frame. Patient characteristics included median age 9 years, 53% female, 42% non-Latinx White, 31% Latinx, 13% non-Latinx Black, 11% non-Latinx other, and 3% declined/unknown. Preferred language was 89% English, 10% Spanish, and 1% other. Payer was 56% private, 43% public, and <1% other/self-pay. Overall, 86% video visits were completed, 7% cancelled, and 7% no-show with significant variation by patient demographic. Odds of incomplete visits were higher for Latinx patients (odds ratio [OR] 1.93) and non-Latinx Black patients (OR 2.33) than for non-Latinx White patients, patients with preferred language other than English (OR 1.53), and patients not privately insured (OR 1.89). Incomplete visit rates and broadband access were inversely related.

System and policy solutions are needed to ensure equitable access and address disparities in incomplete telemedicine visits for marginalized populations in urban areas with lower broadband.

A number of reports are available exploring how telehealth use grew during the COVID-19 pandemic and public health emergency. Some have reported variations in telehealth uptake by specialty, but few have explored growth in telehealth utilization by both specialty and state, arguably the most salient combination of regulatory domains.

We extracted telehealth claims from Medicare public use data files in 2019 and 2020. We calculated utilization by state both as raw encounters and as encounters per 10,000 Medicare beneficiaries in each state. We categorized providers into four major groups (primary care, specialty care, nurse practitioners and physician assistants, and behavioral health) to further explore variations in uptake among these groups. We generated tables and maps to display the variations found.

Growth in raw telehealth encounter volume was dominated by large states. Growth in telehealth volume per 10,000 beneficiaries was dominated by states in the Northeast and showed four- to fivefold variation between the least and greatest. Growth by state and provider group varied by even wider margins, with some states showing large amounts of growth among some provider groups, but relatively little growth in others. No states showed relatively robust growth in telehealth across all provider groups.

Growth in telehealth during the public health emergency was generally robust, but varied considerably across states and provider types. Recognizing this variation is important, and further exploring potential sources of variation is an important task for future research.

: Image quality is a crucial factor in the effectiveness and efficiency of teledermatological consultations. However, up to 50% of images sent by patients have quality issues, thus increasing the time to diagnosis and treatment. An automated, easily deployable, explainable method for assessing image quality is necessary to improve the current teledermatological consultation flow. We introduce ImageQX, a convolutional neural network for image quality assessment with a learning mechanism for identifying the most common poor image quality explanations: bad framing, bad lighting, blur, low resolution, and distance issues.

ImageQX was trained on 26,635 photographs and validated on 9,874 photographs, each annotated with image quality labels and poor image quality explanations by up to 12 board-certified dermatologists. The photographic images were taken between 2017 and 2019 using a mobile skin disease tracking application accessible worldwide.

Our method achieves expert-level performance for both image quality assessment and poor image quality explanation. For image quality assessment, ImageQX obtains a macro F1-score of 0.73 ± 0.01, which places it within standard deviation of the pairwise inter-rater F1-score of 0.77 ± 0.07. For poor image quality explanations, our method obtains F1-scores of between 0.37 ± 0.01 and 0.70 ± 0.01, similar to the inter-rater pairwise F1-score of between 0.24 ± 0.15 and 0.83 ± 0.06. Moreover, with a size of only 15 MB, ImageQX is easily deployable on mobile devices.

With an image quality detection performance similar to that of dermatologists, incorporating ImageQX into the teledermatology flow can enable a better, faster flow for remote consultations.

Diabetic retinopathy (DR) is a microvascular complication of diabetes mellitus (DM). Standard of care for patients with DM is an annual eye examination or retinal imaging to assess for DR, the latter of which may be completed through telemedicine approaches. One significant issue is poor-quality images that prevent adequate screening and are thus ungradable. We used artificial intelligence to enable point-of-care (at time of imaging) identification of ungradable images in a DR screening program.

Nonmydriatic retinal images were gathered from patients with DM imaged during a primary care or endocrinology visit from September 1, 2017, to June 1, 2021. The Topcon TRC-NW400 retinal camera (Topcon Corp., Tokyo, Japan) was used. Images were interpreted by 5 ophthalmologists for gradeability, presence and stage of DR, and presence of non-DR pathologies. A convolutional neural network with Inception V3 network architecture was trained to assess image gradeability. Images were divided into training and test sets, and 10-fold cross-validation was performed.

A total of 1,377 images from 537 patients (56.1% female, median age 58) were analyzed. Ophthalmologists classified 25.9% of images as ungradable. Of gradable images, 18.6% had DR of varying degrees and 26.5% had non-DR pathology. 10 fold cross-validation produced an average area under receiver operating characteristic curve (AUC) of 0.922 (standard deviation: 0.027, range: 0.882 to 0.961). The final model exhibited similar test set performance with an AUC of 0.924.

This model accurately assesses gradeability of nonmydriatic retinal images. It could be used for increasing the efficiency of DR screening programs by enabling point-of-care identification of poor-quality images.

Atypical pigmented facial lesions (aPFLs) often display clinical and dermoscopic equivocal and/or overlapping features, thus causing a challenging and delayed diagnosis and/or inappropriate excisions. No specific registry dedicated to aPFL paired with clinical data is available to date.

: The dataset is hosted on a specifically designed web platform. Each complete case was composed of the following data: (1) one dermoscopic picture; (2) one clinical picture; (3) two lesion data, that is, maximum diameter and facial location (e.g., orbital area/forehead/nose/cheek/chin/mouth); (4) patient's demographics: family history of melanoma, history of sunburns in childhood, phototype, pheomelanine, eyes/hair color, multiple nevi/dysplastic nevi on the body; and (5) acquisition device (videodermatoscope/camera-based/smartphone-based system).

A total of 11 dermatologic centers contributed to a final teledermoscopy database of 1,197 aPFL with a distribution of 353 lentigo maligna (LM), 146 lentigo maligna melanoma (LMM), 231 pigmented actinic keratoses, 266 solar lentigo, 125 atypical nevi, 48 seborrheic keratosis, and 28 seborrheic-lichenoid keratoses. The cheek site was involved in half of aPFL cases (50%). Compared with those with the other aPFL cases, patients with LM/LMM were predominantly men, older (69.32 ± 12.9 years on average vs. 62.69 ± 14.51), exhibited larger lesions (11.88 ± 7.74 mm average maximum diameter vs. 9.33 ± 6.46 mm), and reported a positive history of sunburn in childhood.

The iDScore facial dataset currently represents a precious source of data suitable for the design of diagnostic support tools based on risk scoring classifiers to help dermatologists in recognizing LM/LMM among challenging aPFL in clinical practice.

Telemedicine holds potential for improving access to care, but to what extent has it been realized? We examined telemedicine utilization within a pediatric health care system into the second year of the COVID-19 pandemic to illuminate maintenance of changes in patient diversity previously observed and to elucidate ongoing opportunities to support health equity.

This IRB-approved study is a retrospective analysis of completed visits for parent-initiated, urgent care telemedicine services received by a pediatric health care system between June 2020 and July 2021. Unique patient characteristics were compared with those from 2019 (baseline) and early pandemic.

Current study patients (n = 9,064) did not differ from patients in either prior time point (n = 5,462) in race, ethnicity, age, or sex (ps > 0.05). Thirteen preferred languages spoken, relative to 5 at the 2019 baseline. Telemedicine was utilized significantly more than baseline among patients accessing government-subsidized health insurance (p < 0.05); utilization among rural patients (1.2%) declined relative to baseline (p < 0.05).

This research examined demographic changes among patients utilizing urgent care telemedicine throughout the COVID-19 pandemic and illuminated the importance of sustaining the virtual care needs of a more diverse patient population.

Unlocking telemedicine's potential has implications for improving health equity. Our research demonstrates that patients seeking virtual care in the “new normal” represent a greater demographic diversity than observed prepandemic. Mitigation strategies used during the pandemic to engage and support a diverse patient population, including regulatory waivers, technological outreach, and translation services, must continue in support of equitable access for all.

Older adults are generally less proficient in technology use compared with younger adults. Data on telemedicine use during the COVID-19 pandemic in older persons with type 1 diabetes (T1D) and the association of telemedicine with the use of diabetes-related technology are limited. We evaluated care delivery to older adults compared with younger adults with T1D in a prepandemic and pandemic period.

Data from electronic health records were evaluated for visit types (in-person, phone, and video) from two sequential 12-month intervals: prepandemic (April 2019–March 2020) and pandemic (April 2020–March 2021).

Data from 2,832 unique adults with T1D were evaluated in two age cohorts: younger (40–64 years) and older (≥65 years). Half of each group used continuous glucose monitoring (CGM), whereas 54% of the younger and 37% of the older cohort used pump therapy (p < 0.001). During the pandemic compared with the prepandemic period, visit frequency increased in both the younger (0.65 vs. 0.76 visits/patient/quarter; p < 0.01) and older (0.72 vs. 0.80 visits/patient/quarter; p < 0.01) cohorts. During the pandemic, older adults used more phone visits compared with younger adults (48% vs. 32%; p = 0.001). Patients using either pump therapy or CGM were more likely to use video visits compared with phone visits in both younger (41% vs. 24%; p < 0.001) and older cohorts (53% vs. 42%; p < 0.001).

Adults using diabetes-related technologies, independent of age, accessed more video visits than those not using devices. Telemedicine visits appeared to maintain continuity of care for younger and older adults with T1D, supporting the future of a hybrid-care model.

The COVID-19 pandemic forced the change of health care services, favoring the use of remote consultations.

To assess the differences in asthma medical follow-up before and during the COVID-19 pandemic and to evaluate patients' satisfaction regarding remote consultations.

A cross-sectional, observational, web-based study, including 335 Portuguese patients with self-reported physician-diagnosed asthma, was conducted. The survey was available between February and May 2021 and included questions about patients' sociodemographic and clinical characteristics and follow-up (consultations' type and satisfaction in 2019 and 2020). Satisfaction was assessed using 10 statements on different aspects of patient experience (Likert scale 1–5), with a total score between 10 and 50.

The 335 patients included had a median [P25–P75] age of 27 [21–43] years and 75% had uncontrolled asthma. Overall, fewer participants had consultations during the pandemic compared to 2019 (161 vs. 185; p < 0.001). Most patients had ≥1 face-to-face consultation both in 2020 and 2019 (131 vs. 184; p < 0.001). In 2020, there was an increase in the proportion of participants reporting ≥1 remote (telephonic plus video) consultation (40% vs. 3%; p < 0.001). This increase was mainly attributed to the use of telephonic consultation (38% vs. video 3%, p < 0.001). Patients' satisfaction was similar in 2020 and 2019 for face-to-face consultations (44 [38–47] and 44 [39–48], p = 0.136). In 2020, satisfaction with remote consultations was slightly lower than with face-to-face (43 [37–46] vs. 44 [38–47], p < 0.001).

Even though patients were slightly more satisfied with face-to-face consultations, remote consultations can be an alternative in follow-up services for patients with asthma in the near future.

In China, digital health and telemedicine services grew particularly rapidly during the COVID-19 pandemic. The goal of this study was to examine the effects of technology acceptance model (TAM) predictors, previous social media health service exposure, and telemedicine experience on individual telemedicine service usage intention within the extended theoretical framework of TAM and TAM2.

The study adopted a cross-sectional survey to collect data (N = 1,088) through a Chinese online panel provider (wenjuan.com). Structural equation modeling was performed to examine relationships between the variables in the proposed model.

Our results indicated that technology anxiety (TA) was negatively related to perceived ease of use (PEOU) and usage intention. PEOU mediated the relationship between TA and usage intention. Social media health information consumption was positively associated with perceived usefulness (PU). Previous telemedicine satisfaction was positively related to PEOU and PU, but the direct relationship between satisfaction with telemedicine and usage intention was not found to be significant. Besides, PEOU and PU mediated the relationship between previous telemedicine satisfaction and usage intention.

Findings of the study not only contribute to literature pertaining to telemedicine promotion by identifying important mediation relationships but also help identify potential users and provide a convenient internet-based promotion channel since they reveal that social media health information consumption is positively related to PU of telemedicine services.

The COVID-19 pandemic led to health care practitioners utilizing new technologies to deliver health care, including telemedicine. The purpose of this study was to examine the effect of rapidly proliferative use of video visits on opioid prescribing to orthopedic patients at a large academic health system that had existing procedure-specific opioid prescribing guidelines.

This IRB-exempt study examined 651 opioid prescriptions written to patients who had video (visual and audio), telephone (audio only), or in-person encounters at our institution from March 1 to June 1, 2020 and compared them with 963 prescriptions written during the same months in 2019. Prescriptions were converted into daily milligram morphine equivalents (MMEs) to facilitate direct comparison. Chi-square testing was used to compare categorical data, whereas analysis of variance and Mann–Whitney tests were used to compare numerical data between groups. Statistical significance was set at <0.05.

Six hundred fifty-one of 1,614 prescriptions analyzed (40.3%) occurred during the pandemic. Patients prescribed opioids during video visits were prescribed 53.3 ± 37 MME, significantly higher than in-person (p = 0.002) or audio visits (p < 0.001) before or during the pandemic. Prepandemic, significantly higher MME were prescribed for in-person versus audio only visits (41.6 ± 89 vs. 30.2 ± 28 MME; p = 0.026); during the pandemic, there was no difference between these groups (p = 0.91). Significantly higher MME were prescribed by Nurse Practitioners and Physician Associates versus MD or DO prescribers for both time periods (51.3 ± 109 vs. 27.9 ± 42 MME; p < 0.001; 42.9 ± 70 vs. 28.2 ± 42 MME; p < 0.001).

During crisis and with new technology, we should be vigilant about prescribing of opioid analgesics. Despite well-established protocols, patients received significantly higher MME through video than for other encounter types, including in-person encounters. In addition, significantly higher MME were prescribed by mid-level prescribers compared with DOs or MDs. Institutions should ensure these prescribers are involved during creation of opioid prescribing protocols after orthopedic surgery.

The coronavirus disease 2019 pandemic has expanded noncontact health care systems worldwide. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technology that enables treatment monitoring under remote supervision. We investigated the factors affecting patients' decision to participate in telerehabilitation (TR) using tDCS for motor function recovery after suffering a stroke.

Four medical institutions surveyed 156 patients with poststroke paralysis. The participants were asked whether they would participate in TR therapy using tDCS in the future. We performed logistic regression analysis to examine the factors—demographic data, stroke characteristics, arm function, gait, and cognitive function—that influenced participants' decisions.

Of the participants, 66% (103/156) reported that they would participate in TR using tDCS in the future. Participants' monthly salary was a single significant independent factor influencing their decision to participate. Those earning greater than 5 million KRW (4,000 USD) were more likely to engage in TR via tDCS than those earning less than 1 million KRW (800 USD). The most common barriers to participation in telemedicine included the preference for face-to-face treatment and unfamiliarity. The expected medical expenses of TR using tDCS were 46,154 KRW (37 USD) per session.

Most participants with poststroke paralysis responded positively to TR using tDCS for hand function recovery. For telemedicine to work effectively in a situation wherein face-to-face rehabilitation is impossible, prior discussion at the governmental level is essential for determining medical finances.

This study investigated military doctors' and nurses' perceptions of telemedicine and the factors influencing their intention to use it based on the unified theory of acceptance and use of technology.

This study adopted a questionnaire-based, cross-sectional descriptive approach. It used a web questionnaire for data collection over a 5-week period, starting in June 2021.

A total of 72.6% of participants indicated that telemedicine is required in the military. The intention to use telemedicine was significantly higher among women, younger individuals (<30 years), and military nurses. In addition, factors such as voluntariness of use, performance expectancy, social influence, and facilitating conditions positively affected the intention to use telemedicine.

To improve military doctors' and nurses' use and understanding of telemedicine, consensus must be reached regarding its use in military contexts. Discussions that incorporate opposing views should be encouraged as well. Moreover, the voluntariness of use significantly affected respondents' intention to use telemedicine. There is an urgent need, therefore, for in-depth analyses of the various factors associated with voluntariness of use of telemedicine; the resulting insights could be used to encourage military doctors and nurses to adopt telemedicine. Finally, along with promoting the use of smartphones for medical consultation among military personnel, military nurses' role should be extended to include health consultation using smartphones. This could promote the active use of telemedicine in military nursing, which could contribute to health promotion among military personnel.

Given the rapid increase in telehealth utilization since the onset of the COVID-19 pandemic, it has become essential to examining the vast amount of available data on telehealth encounters to conduct more cogent, robust, and large-scope research studies to examine the utility, cost-impact, and effect on clinical outcomes that telehealth can potentially provide. However, the diversity of data collected by numerous telehealth organizations has made that type of analysis difficult.

The University of Mississippi Medical Center (UMMC), a Telehealth Center of Excellence designated by the Health Resources and Services Administration, is creating a National Telehealth Data Warehouse.

UMMC will develop the data warehouse in Microsoft Azure and will use a data dictionary that was created by the Center for Telehealth and eHealth Law (CTeL) to support their national cost-benefit study on the use of telehealth during COVID-19.

The data warehouse will provide unparalleled opportunities to conduct cost-benefit and cost-effectiveness analyses on telehealth, to develop and test quality measures specific to telehealth, and to understand how telehealth and reduce disparities in health care and expand access to care for everyone. The warehouse is expected to go live in the Summer of 2023.