Digital Translucence: Adapting Telemedicine Delivery Post-COVID-19

Evaluation of Online Counseling through the Working Experiences of Mental Health Therapists Amidst the COVID-19 Pandemic

This study aimed to reflect on mental health professionals' experiences with online counseling during the COVID-19 pandemic, as well as their perceptions and recommendations for the future. The method of qualitative research with semi-structured interviews was used. The sample consisted of 17 mental health professionals working in the public or private sectors. A framework analysis revealed four main themes, namely (a) the evaluation of online counseling; (b) comparing in-person and online counseling; (c) factors influencing the effectiveness of online counseling; and (d) suggestions for the future use of online counseling. Most therapists reported that their overall experience with online counseling was positive. The main advantages cited were the accessibility for everyone and the reductions in time, money, and distance. Its primary drawbacks included less nonverbal communication, the inability to employ certain therapeutic tools, problems with confidentiality, lack of experience, and technical difficulties during online sessions. Its effectiveness depends on contextual factors and factors related to the therapeutic process itself. Organizational planning, training, and a solid implementation strategy may help ensure that this communication medium is used to its fullest potential. In addition, the possible utilization of remote counseling combined with in-person psychotherapeutic intervention methods will provide solutions for the future, especially in crisis situations.

Social Determinants of Health and Patients' Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey

BACKGROUND

Telehealth has been widely adopted by patients during the COVID-19 pandemic. Many social determinants of health influence the adoption.

OBJECTIVE

This pilot study aimed to understand the social determinants of patients' adoption of telehealth in the context of the pandemic.

METHODS

A survey methodology was used to capture data from 215 participants using Amazon Mechanical Turk. The study was guided by the technology acceptance model and the social determinants of health framework. The questionnaire included technology acceptance model variables (eg, perceived usefulness [PU] and perceived ease of use [PEOU]), social determinants (eg, access to health care, socioeconomic status, education, and health literacy), and demographic information (eg, age, sex, race, and ethnicity). A series of ordinary least squares regressions were conducted to analyze the data using SPSS Statistics (IBM Corp).

RESULTS

The results showed that social determinant factors-safe neighborhood and built environment (P=.01) and economic stability (P=.05)-are predictors of the PEOU of telehealth adoption at a statistically significant or marginally statistically significant level. Furthermore, a moderated mediation model (PROCESS model 85) was used to analyze the effects of COVID-19 on the neighborhood, built environment, and economic stability. PEOU and PU significantly positively affected users' intention to use technology for both variables.

CONCLUSIONS

This study draws attention to 2 research frameworks that address unequal access to health technologies. It also adds empirical evidence to telehealth research on the adoption of patient technology. Finally, regarding practical implications, this study will provide government agencies, health care organizations, and health care companies with a better perspective of patients' digital health use. This will further guide them in designing better technology by considering factors such as social determinants of health.

Corona hotels in Israel: Care and abandonment under the auspices of digital medicine

Following the onset of the COVID-19 pandemic, Israel established a number of 'corona hotels' - hybrid spaces that were neither fully treatment-oriented nor fully incarcerational, in which people known or suspected to be infected with the coronavirus were confined, sometimes for prolonged and indefinite periods. This paper describes the experience of 25 people who were confined in corona recovery and isolation hotels between March and July 2020. The corona hotels exemplify how remote medical technology and digital medicine together enable a new 'technogeography of care', where care and abandonment are inextricably linked. The paper adds to the growing number of critical studies on digital health by showing how the employed technologies impact the concepts of human embodiment, subjectivity and social relations, as well as how the occupants negotiated the meaning of these technologies and resisted their effects.

Healthcare Workers' Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review

BACKGROUND

mHealth applications provide health practitioners with platforms that enable disease management, facilitate drug adherence, facilitate drug adherence, speed up diagnosis, monitor outbreaks, take and transfer medical images, and provide advice. Many developing economies are investing more in mobile telecommunication infrastructure than in road transport and electric power generation. Despite this, mHealth has not seen widespread adoption by healthcare workers in the developing world. This study reports a scoping review of factors that impact the adoption of mHealth by healthcare workers in the developing world, and based on these findings, a framework is developed for enhancing mHealth adoption by healthcare workers in the developing world.

METHODS

A structured literature search was performed using PubMed and Scopus, supplemented by hand searching. The searches were restricted to articles in English during the period January 2009 to December 2019 and relevant to the developing world that addressed: mobile phone use by healthcare workers and identified factors impacting the adoption of mHealth implementations. All authors reviewed selected papers, with final inclusion by consensus. Data abstraction was performed by all authors. The results were used to develop the conceptual framework using inductive iterative content analysis.

RESULTS AND DISCUSSION

Of 919 articles, 181 met the inclusion criteria and, following a review of full papers, 85 reported factors that impact (promote or impede) healthcare worker adoption of mHealth applications. These factors were categorised into 18 themes and, after continued iterative review and discussion were reduced to 7 primary categories (engagement/funding, infrastructure, training/technical support, healthcare workers' mobile-cost/ownership, system utility, motivation/staffing, patients' mobile-cost/ownership), with 17 sub-categories. These were used to design the proposed framework.

CONCLUSIONS

Successful adoption of mHealth by healthcare workers in the developing world will depend on addressing the factors identified in the proposed framework. They must be assessed in each specific setting prior to mHealth implementation. Application of the proposed framework will help shape future policy and practice of mHealth implementation in the developing world and increase adoption by health workers.

Evaluation of Tele-Dentistry and Face-to-Face Appointments during the Provision of Dental Services in Poland

Tele-dentistry is a rapidly growing field, especially in the era of the COVID-19 pandemic. Due to the COVID-19 pandemic, remote services are of increasing interest to both patients and dental personnel. They allow for reduced person-to-person contact and thus a reduced risk of transmission of the SARS-CoV2 virus. The COVID-19 pandemic has affected the functioning of all areas of life, including dental treatment. The aim of the study was to assess the possibility of using tele-dentistry for dental services and analyse the attitudes of patients and dentists towards this solution. The period analysed was between March 2019 and February 2021 in five healthcare entities in Cracow in Central Europe. The study’s retrospective analysis shows a positive attitude of patients towards tele-dentistry at every stage of treatment, from diagnosis through postoperative care, and a significant reluctance of dentists in the majority of dental specialties towards tele-dentistry. Consequently, a significant percentage of patients were invited to dental offices for a face-to-face appointment during the COVID-19 pandemic. The negative attitude of dental personnel towards tele-dentistry compared with the positive attitude of patients towards tele-dentistry is somewhat worrying in view of the possibility of a further pandemic. At the same time, it provides important information about the need to educate and support dental personnel in tele-dental solutions and improve solutions for the future. Taking into account the potential reduction in dental care costs for patients and countries after the implementation of tele-dentistry solutions, this is an important topic, while current studies do not comprehensively address the attitudes of patients and dental personnel towards tele-dentistry. In other parts of the world, a similar approach to tele-dentistry is used by patients and dentists.

Exploring Adult Patients’ Perceptions and Experiences of Telemedicine Consultations in Primary Care: A Qualitative Systematic Review

The COVID-19 pandemic transformed a gradual uptake of telemedicine, into a sudden worldwide implementation of telemedicine consultations. Primary care is a particular area affected and one where telemedicine consultations are expected to be the future. However, for effective long-term implementation it is vital that patient perceptions and experiences are understood. The aim of this qualitative systematic review was to explore the perceptions and experiences of adults who have used telemedicine consultations in primary care. Studies were identified through a search of four electronic databases (MEDLINE, EMBASE, CINAHL, and CENTRAL) alongside reference list and citation searches. Quality assessment was conducted using the CASP checklist and data was synthesized using a simplified approach to thematic analysis. From 2492 identified records, ten studies met the eligibility criteria all of which were judged as either good or moderate quality. Three themes were identified which were potential benefits, potential barriers, and beneficial prerequisites for telemedicine consultations in primary care. Within these themes, sixteen sub-themes were identified with examples including accessibility and convenience for potential benefits, lack of face-to-face interaction and impersonal consultations for potential barriers, and continuity of care for beneficial prerequisites. Analysing these subthemes, four main recommendations for practice can be made which are to utilise continuity of care, offer both video and telephone consultations, provide adequate support, and that healthcare professionals should demonstrate an explicit understanding of the patient’s health issues. Further research is needed to explore and expand on this topic area and future research should be viewed as a continuous process.

Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence

BACKGROUND

This PRISMA systematic literature review examined the use of digital data collection methods (including ecological momentary assessment [EMA], experience sampling method [ESM], digital biomarkers, passive sensing, mobile sensing, ambulatory assessment, and time-series analysis), emphasizing on digital phenotyping (DP) to study depression. DP is defined as the use of digital data to profile health information objectively.

AIMS

Four distinct yet interrelated goals underpin this study: (a) to identify empirical research examining the use of DP to study depression; (b) to describe the different methods and technology employed; (c) to integrate the evidence regarding the efficacy of digital data in the examination, diagnosis, and monitoring of depression and (d) to clarify DP definitions and digital mental health records terminology.

RESULTS

Overall, 118 studies were assessed as eligible. Considering the terms employed, "EMA", "ESM", and "DP" were the most predominant. A variety of DP data sources were reported, including voice, language, keyboard typing kinematics, mobile phone calls and texts, geocoded activity, actigraphy sensor-related recordings (i.e., steps, sleep, circadian rhythm), and self-reported apps' information. Reviewed studies employed subjectively and objectively recorded digital data in combination with interviews and psychometric scales.

CONCLUSIONS

Findings suggest links between a person's digital records and depression. Future research recommendations include (a) deriving consensus regarding the DP definition and (b) expanding the literature to consider a person's broader contextual and developmental circumstances in relation to their digital data/records.

Diagnosis of COVID-19 via acoustic analysis and artificial intelligence by monitoring breath sounds on smartphones

Scientific evidence shows that acoustic analysis could be an indicator for diagnosing COVID-19. From analyzing recorded breath sounds on smartphones, it is discovered that patients with COVID-19 have different patterns in both the time domain and frequency domain. These patterns are used in this paper to diagnose the infection of COVID-19. Statistics of the sound signals, analysis in the frequency domain, and Mel-Frequency Cepstral Coefficients (MFCCs) are then calculated and applied in two classifiers, k-Nearest Neighbors (kNN) and Convolutional Neural Network (CNN), to diagnose whether a user is contracted with COVID-19 or not. Test results show that, amazingly, an accuracy of over 97% could be achieved with a CNN classifier and more than 85% on kNN with optimized features. Optimization methods for selecting the best features and using various metrics to evaluate the performance are also demonstrated in this paper. Owing to the high accuracy of the CNN model, the CNN model was implemented in an Android app to diagnose COVID-19 with a probability to indicate the confidence level. The initial medical test shows a similar test result between the method proposed in this paper and the lateral flow method, which indicates that the proposed method is feasible and effective. Because of the use of breath sound and tested on the smartphone, this method could be used by everybody regardless of the availability of other medical resources, which could be a powerful tool for society to diagnose COVID-19.

Telemedicine for preanesthesia evaluation: review of current literature and recommendations for future implementation

PURPOSE OF REVIEW

The in-person preanesthesia visit serves multiple purposes including identification and optimization of comorbid conditions as well as patient education. However, it imposes a significant burden on patients and healthcare providers. In this review, we define the scope of telemedicine and present the most up-to-date literature supporting its role for the preanesthesia evaluation. The opportunities and challenges are discussed and approaches to implementation of telemedicine in preanesthesia care are offered. Finally, the future of telemedicine as it pertains to preanesthesia care is examined.

RECENT FINDINGS

Although telemedicine for preanesthesia practice was proposed almost two decades ago, the COVID-19 pandemic has accelerated its implementation. The potential benefits of telemedicine include improved patient satisfaction as well as the ability to provide cost-effective specialty services while reducing the burden on healthcare providers. Limitations to telemedicine include lack of technology, training, regulatory barriers, and an inability to perform a physical exam.

SUMMARY

Telemedicine will continue to expand and its application to the preanesthesia evaluation is a clear example of how technology will revolutionize anesthesia practice. In order for telemedicine to continue to expand in the postpandemic period, steps must be taken to ensure that healthcare facilities and providers keep up with the times.

Group Lifestyle Phone Maintenance for Weight, Health, and Physical Function in Adults Aged 65-80 Years: A Randomized Clinical Trial

BACKGROUND

Group lifestyle sessions with phone maintenance could improve weight, health, and function in vulnerable older adults.

METHODS

Community-dwelling adults (N = 322) with body mass index (BMI, kg/m2) ≥27 and additional risk factors received 12 one-hour in-person behavioral weight management group sessions then were randomized to 8 half-hour telephone sessions (n = 162) or newsletter control (n = 160) from 4 to 12 months with no treatment contact thereafter. Primary outcome was 0- to 12-month weight change. Cardiometabolic, short physical performance battery (SPPB), and self-reported activity changes were assessed at 12 and 24 months.

RESULTS

At baseline, the mean (SD) age was 71.2 (4.3) and BMI was 33.8 (5.1). Participants were 77% women, 13% Black, 85% retired, averaging 4 medical conditions, and taking blood pressure (67.4%) and lipid-lowering (51.6%) medications. At 12 months, a greater proportion of the phone group (66.0%) achieved ≥5% weight loss compared with newsletter control (53.2%; p = .02). Mean (95% CI) weight loss was greater for phone (-6.6 kg [-7.5, -5.8]) than newsletter (-5.1 kg [-7.2, -3.0]); p = .01. Modest lipid, glucose, and blood pressure improvements were found, but did not differ significantly between groups. Small SPPB and activity improvements were maintained at 12 and 24 months in both groups.

CONCLUSIONS

Brief phone contacts compared to newsletters enhanced weight loss maintenance among older high-risk adults at 1 year, but not cardiometabolic outcomes. Modest functional improvements were observed in both. Lower-intensity maintenance contacts (phone or newsletter) for weight, health, and physical function in older adults warrant further study.

CLINICAL TRIALS REGISTRATION NUMBER

NCT03192475.

Seeking a pot of gold with integrated behavior therapy and research to improve health equity: insights from the RAINBOW trial for obesity and depression

More than one third of adults in the United States (U.S.) live with multiple chronic conditions that affect their physical and mental health, functional outcomes, independence, and mortality. The COVID-19 pandemic has exposed not only an increased risk for infection, morbidity, and mortality among those with chronic conditions but long-standing health inequities by age, race, sex, and other social determinants. Obesity plus depression represent one such prevalent comorbidity for which few effective integrated interventions exist, prompting concern about the potential for secondary physical and mental health pandemics post COVID-19. Translational behavioral medicine research can play an important role in studying integrated collaborative healthcare approaches and advancing scientific understanding on how to engage and more effectively treat diverse populations with physical and mental health comorbidities. The RAINBOW (Research Aimed at Improving Both Mood and Weight) clinical trial experience offers a wealth of insights into the potential of collaborative care interventions to advance behavior therapy research and practice. Primary care patients with co-occurring obesity and depression were assigned to either Integrated Coaching for Mood and Weight (I-CARE), which blended Group Lifestyle Balance (GLB) for weight management and the Program to Encourage Active Rewarding Lives (PEARLS) for depression, or usual care, to examine clinical, cost-effectiveness, and implementation outcomes. This commentary highlights the empirical findings of eight RAINBOW research papers and discusses implications for future studies, including their relevance in the U.S. COVID-19 context. Organized by key principles of translational behavioral medicine research, the commentary aims to examine and embrace the heterogeneity of baseline and intervention response differences among those living with multiple chronic conditions. We conclude that to prevent health and healthcare disparities from widening further, tailored engagement, dissemination, and implementation strategies and flexible delivery formats are essential to improve treatment access and outcomes among underrepresented populations.

Impact of Changes in EHR Use during COVID-19 on Physician Trainee Mental Health

OBJECTIVES

This article investigates the association between changes in electronic health record (EHR) use during the coronavirus disease 2019 (COVID-19) pandemic on the rate of burnout, stress, posttraumatic stress disorder (PTSD), depression, and anxiety among physician trainees (residents and fellows).

METHODS

A total of 222 (of 1,375, 16.2%) physician trainees from an academic medical center responded to a Web-based survey. We compared the physician trainees who reported that their EHR use increased versus those whose EHR use stayed the same or decreased on outcomes related to depression, anxiety, stress, PTSD, and burnout using univariable and multivariable models. We examined whether self-reported exposure to COVID-19 patients moderated these relationships.

RESULTS

Physician trainees who reported increased use of EHR had higher burnout (adjusted mean, 1.48 [95% confidence interval [CI] 1.24, 1.71] vs. 1.05 [95% CI 0.93, 1.17]; p = 0.001) and were more likely to exhibit symptoms of PTSD (adjusted mean = 15.09 [95% CI 9.12, 21.05] vs. 9.36 [95% CI 7.38, 11.28]; p = 0.035). Physician trainees reporting increased EHR use outside of work were more likely to experience depression (adjusted mean, 8.37 [95% CI 5.68, 11.05] vs. 5.50 [95% CI 4.28, 6.72]; p = 0.035). Among physician trainees with increased EHR use, those exposed to COVID-19 patients had significantly higher burnout (2.04, p < 0.001) and depression scores (14.13, p = 0.003).

CONCLUSION

Increased EHR use was associated with higher burnout, depression, and PTSD outcomes among physician trainees. Although preliminary, these findings have implications for creating systemic changes to manage the wellness and well-being of trainees.

Barriers to Use of Remote Monitoring Technologies Used to Support Patients With COVID-19: Rapid Review

Background

The COVID-19 pandemic has acted as a catalyst for the development and adoption of a broad range of remote monitoring technologies (RMTs) in health care delivery. It is important to demonstrate how these technologies were implemented during the early stages of this pandemic to identify their application and barriers to adoption, particularly among vulnerable populations.

Objective

The purpose of this knowledge synthesis was to present the range of RMTs used in delivering care to patients with COVID-19 and to identify perceived benefits of and barriers to their use. The review placed a special emphasis on health equity considerations.

Methods

A rapid review of published research was conducted using Embase, MEDLINE, and QxMD for records published from the inception of COVID-19 (December 2019) to July 6, 2020. Synthesis involved content analysis of reported benefits of and barriers to the use of RMTs when delivering health care to patients with COVID-19, in addition to health equity considerations.

Results

Of 491 records identified, 48 publications that described 35 distinct RMTs were included in this review. RMTs included use of existing technologies (eg, videoconferencing) and development of new ones that have COVID-19–specific applications. Content analysis of perceived benefits generated 34 distinct codes describing advantages of RMTs, mapped to 10 themes overall. Further, 52 distinct codes describing barriers to use of RMTs were mapped to 18 themes. Prominent themes associated with perceived benefits included a lower burden of care (eg, for hospitals, health care practitioners; 28 records), reduced infection risk (n=33), and support for vulnerable populations (n=14). Prominent themes reflecting barriers to use of RMTs included equity-related barriers (eg, affordability of technology for users, poor internet connectivity, poor health literacy; n=16), the need for quality “best practice” guidelines for use of RMTs in clinical care (n=12), and the need for additional resources to develop and support new technologies (n=11). Overall, 23 of 48 records commented on equity characteristics that stratify health opportunities and outcomes, including general characteristics that vary over time (eg, age, comorbidities; n=17), place of residence (n=11), and socioeconomic status (n=7).

Conclusions

Results of this rapid review highlight the breadth of RMTs being used to monitor and inform treatment of COVID-19, the potential benefits of using these technologies, and existing barriers to their use. Results can be used to prioritize further efforts in the implementation of RMTs (eg, developing “best practice” guidelines for use of RMTs and generating strategies to improve equitable access for marginalized populations).

[External scientific evaluation of the first teledermatology app without direct patient contact in Germany (Online Dermatologist-AppDoc)]

BACKGROUND

Teledermatology addresses the problems associated with the lack of specialists and the often long waiting time for an appointment with a dermatologist. The research project Online Dermatologist-AppDoc enables a fast anonymous expert opinion and was approved on 22 October 2018 by the Landesärztekammer Baden-Württemberg for 2 years as a model project.

OBJECTIVES

The aim of the present work is the presentation of the first real healthcare data for German teledematology within the framework of the external quality assurance of the model project Online Dermatologist-AppDoc.

MATERIALS AND METHODS

Anonymous data records submitted to Online Dermatologist-AppDoc between 21 November 2018 and 1 August 2019 were analyzed qualitatively and quantitatively at the Department of Dermatology of the University Hospital Essen. In addition to the evaluation of the data records submitted so far, 100 cases submitted underwent a second assessment by a board-certified dermatologist to assess concordance.

RESULTS

A total of 1364 cases (60.4% men, 39.6% women) were included in the current first external scientific evaluation. In 90.3% of the cases, remote diagnosis was possible. The two most frequent diagnoses were different forms of eczema (n = 270) and nevi (n = 163). Almost two thirds of the patients (64.3%) could be treated teledermatologically only. The random second examination of 100 cases resulted in an agreement of the diagnosis including the differential diagnosis/diagnoses in 97% of the cases.

CONCLUSIONS

The first external scientific evaluation of the teledermatological model project Online Dermatologist-AppDoc indicates that the reduction of spatial and temporal barriers of a dermatological examination as well as the teledermatological triage have been so far successful.

Adaptation of evidence-based suicide prevention strategies during and after the COVID-19 pandemic

Suicide is preventable. Nevertheless, each year 800,000 people die of suicide in the world. While there is evidence indicating that suicide rates de-crease during times of crises, they are expected to increase once the immediate crisis has passed. The COVID-19 pandemic affects risk and pro-tective factors for suicide at each level of the socio-ecological model. Economic downturn, augmented barriers to accessing health care, increased access to suicidal means, inappropriate media reporting at the societal level; deprioritization of mental health and preventive activities at the community level; interpersonal conflicts, neglect and violence at the relationship level; unemployment, poverty, loneliness and hopelessness at the individual level: all these variables contribute to an increase of depression, anxiety, post-traumatic stress disorder, harmful use of alcohol, substance abuse, and ultimately suicide risk. Suicide should be prevented by strengthening universal strategies directed to the entire population, including mitigation of unemployment, poverty and inequalities; prioritization of access to mental health care; responsible media reporting, with information about available support; prevention of increased alcohol intake; and restriction of access to lethal means of suicide. Selective interventions should continue to target known vulnerable groups who are socio-economically disadvantaged, but also new ones such as first responders and health care staff, and the bereaved by COVID-19 who have been deprived of the final contact with loved ones and funerals. Indicated preventive strategies targeting individuals who display suicidal behaviour should focus on available pharmacological and psychological treatments of mental disorders, ensuring proper follow-up and chain of care by increased use of telemedicine and other digital means. The scientific community, health care professionals, politicians and decision-makers will find in this paper a systematic description of the effects of the pandemic on suicide risk at the society, community, family and individual levels, and an overview of how evidence-based suicide preventive interventions should be adapted. Research is needed to investigate which adaptations are effective and in which con-texts.