Telehealth and COVID-19: Using technology to accelerate the curve on access and quality healthcare for citizens in India

Factors influencing telemedicine adoption among physicians in the Malaysian healthcare system: A revisit

Background

The Malaysian healthcare system is under strain due to an aging population, the rising prevalence of chronic diseases, and heavy workloads among physicians. As costs and requirements continue to rise, telemedicine is critical for bridging gaps in supply and demand. However, there are limited studies on telemedicine adoption among Malaysian physicians. Furthermore, the existing literature on telemedicine adoption does not contain a comprehensive framework that integrates the multidimensional social influence, and technological, clinical, and individual factors.

Objective

This research investigates the adoption of telemedicine among Malaysian physicians. It draws from the Technology Acceptance Model (TAM) and Kelman's Social Influence Theory.

Methods

A survey was conducted among 230 participants in hospitals located in Kuala Lumpur and Selangor. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results

The study identified crucial factors influencing telemedicine adoption, including informational influences, rewards, perceived ease of use, and usefulness. Meanwhile, the Importance-performance Map Analysis (IPMA) identified perceived ease of use as the most important factor for physicians, but the highest performance was patient's records.

Conclusions

The proposed integrated model enhances the understanding of telemedicine adoption and highlights the differential effects of individual, technological, clinical, and multidimensional social influence factors from the physicians' perspective. The findings can guide future studies and influence implementation strategies for telemedicine promotion in the Malaysian healthcare context. Hospitals should prioritize user-friendly technology and information provision, while telemedicine providers should enhance the accessibility of patient records to facilitate telemedicine adoption. Policymakers should consider supporting training programs that will boost physicians' confidence in effectively utilizing telemedicine.

Exploring Multiple Dimensions of Access to and Preferences for Telehealth Use

Introduction

During the pandemic, telehealth became critically important in care provision. Yet, research exposed the inequities facing various groups of people in terms of accessing telehealth. The purpose of this analysis was to examine the various dimensions of access that impact a person's ability to use and preference for telehealth.

Methods

We used a mixed-methods approach framed by Levesque's Access to Health care model. In August, 2021, a stratified random sample of 500 patients of an integrated rural health care network was invited to participate in a survey designed to capture familiarity with, use of, and preference for digital technologies in general as well as with telehealth. In addition, key informant interviews were conducted between January 2022 and June 2022.

Results

Patients' willingness to use telehealth was influenced by multiple dimensions of access, including approachability of the resource, acceptability, availability, affordability, and appropriateness. Clinician beliefs and attitudes as well as health care system policies affected how a patient perceived, sought, reached, and engaged with telehealth.

Conclusions

Access is a dynamic, multifaceted concept that is influenced by individual-, organization-, and systemic-level factors. Looking beyond patient determinants and examining different dimensions of access is important to better facilitate implementation and sustainment of telehealth.

The femtech revolution-A new approach to pregnancy management: Digital transformation of maternity care-The hybrid e-health perinatal clinic addressing the unmet needs of low- and middle-income countries

Prenatal care and infant mortality rates are crucial indicators of healthcare quality. However, millions of women in low-income countries lack access to adequate care. Factors such as high-risk pregnancies and unmanaged diet increase the risk of developing complications during pregnancy, highlighting the need for continuous monitoring of maternal health. The increasing burden of non-communicable diseases represents a significant threat to fragile health systems. The lack of access to appropriate prenatal care and poor maternal and newborn health outcomes are major concerns in low- and middle-income countries (LMICs). It emphasizes the need for innovative, integrative approaches to healthcare delivery, especially in pregnant women. The health services need to be reorganized holistically and effectively, focusing on factors that directly impact maternal, neonatal, and infant mortality, resulting in improved access to maternity services and survival of "at-risk" mothers and their offspring in many LMICs. Based on the FIGO (the International Federation of Gynecology & Obstetrics) recommendations of extending preconception care to the postpartum stage, the authors of this review have developed a new model of care-PregCare-based on the triple-intervention-based holistic and multidisciplinary maternal and fetal medicine model for low-risk pregnancies. This model will help transform the traditional model's high visitation frequency into a safe and reduced office visit, while increasing virtual connections, point of care and self-care with doctors, nurses, and community-based providers of self-care. This shall be based on a sophisticated central PregCare call center powered by innovative technologies combined with experienced personnel in perinatal management (doctors and nurses/midwives).

How do consumers prefer their care delivered: In-person, telephone or videoconference?

AIM

To gain a better understanding of consumer experiences with and preferences for telephone and videoconference consultations (telehealth), and how these compare to traditional in-person consultations.

METHODS

A national cross-sectional survey was administered to a representative sample of Australian adults who have received a telehealth service within the last year. Consumers were recruited by Qualtrics® through their online sampling service. The sample was representative of the broader Australian population according to gender, age, location (state/territory), and place of residence (urban or remote). Information on demographics (e.g., age, gender, employment status), recent telehealth experience, and preferences for consultation modality was collected. To measure preferences consumers were asked to indicate which modality they would prefer (in-person, telephone, or videoconference) for different scenarios. These included consultations of various time lengths, and for the top ten conditions for which individuals sought a general practitioner.

RESULTS

A total of 1069 consumers completed the survey. When consumers were asked to describe their most recent telehealth appointment, most were for follow-up appointments (67%) and completed by telephone (77%) rather than by videoconference, and with a general practitioner (75%). In-person consultations at a clinic were the top preference in all clinical scenarios presented, except when needing a prescription or to receive test results. In these cases, a telephone consultation was the preferred modality. Inexperience with videoconference and duration of consultation influenced preference for consultation mode. Consumers preferred to have short consultations of around five minutes done by telehealth (telephone or videoconference), while they preferred in-person for longer consultations (up to 60 minutes).

CONCLUSIONS

Many Australians have used telehealth in the past year to access healthcare, with telephone being the most common form of communication. Given the option and the experience to date, consumers prefer telephone when consultations related to either prescriptions or test results. Experience with videoconference for consultations increased consumer preferences for using it for future consultations.

Is telemedicine a holy grail in healthcare policy: clinicians' and patients' perspectives from an Apex Institution in Western India

BACKGROUND

This study aimed to explore the perception of doctors regarding telemedicine consultations and the level of patient satisfaction with the services received through teleconsultations.

METHODS

This cross-sectional study was conducted on clinicians who provided teleconsultations and patients who received teleconsultations in an Apex healthcare institution in Western India. Semi-structured interview schedules were used to record the quantitative and qualitative information. Clinicians' perceptions and patients' satisfaction were assessed using two different 5-point Likert scales. Data were analyzed using SPSS v.23 using non-parametric tests (Kruskal Wallis and Mann-Whitney U).

RESULTS

A total of 52 clinicians who delivered teleconsultations and 134 patients who received teleconsultations from those doctors were interviewed in this study. For 69% of doctors, telemedicine was feasible to implement, and for the rest, it was challenging. Doctors believe telemedicine is convenient for patients (77%) and prevents the transmission of infection (94.2%). Difficulty in clinical evaluation (73%), communication (55.7%), network connectivity (34%), diagnosis and investigations (32%), and patients' e-illiteracy (32%) were the most common challenges faced by clinicians. Patients' experiences were positive in terms of ease of registration (82.1%), audio quality (100%), freedom to discuss medicine (94.8%), and comprehension of the diagnoses (88.1%). Patients expressed satisfaction with the length of the teleconsultation (81.4%), the advice and care they received (78.4%), and the manner and communication of the clinicians (78.4%).

CONCLUSIONS

Though there were some challenges in the implementation of telemedicine, the clinicians perceived it quite helpful. The majority of the patients were satisfied with teleconsultation services. Difficulty in registration, lack of communication, and a deep-rooted mindset of physical consultations were the primary concerns from the patient side.

Trends in telehealth use among a cohort of rural patients during the COVID-19 pandemic

Objective

Rural populations faced unique challenges to healthcare access during the COVID-19 pandemic. This analysis assesses trends in digital health technology use at the onset of the pandemic and describes digital health behaviors among a cohort of patients within a rural integrated healthcare network throughout the first 3 years of the pandemic.

Methods

We used data from both the electronic health record (EHR) and a patient survey. EHR data was used to longitudinally assess change over time in patient portal use and telehealth visits. Survey responses were used to provide additional context.

Results

Telehealth appointments peaked in the first quarter of 2020 at 28% of all office visits, before leveling off to 8-10% in 2022. Women and those younger than 65 were more likely to have participated in telehealth appointments. Active patient portal users increased from 34.1% in January 2019 to 63.7% in January 2022. There were no differences noted in portal use trends based on rurality.

Conclusions

Our findings corroborate previous research, as well as add context regarding digital health technology use throughout the COVID pandemic in a rural patient population. Future research must focus on understanding constraints to digital health expansion in order to continue providing safe, equitable care.

S. A machine learning approach on analysing the sentiments in the adoption of telemedicine application during COVID-19

Purpose

The purpose of this paper is to understand the customer sentiment towards telemedicine apps and also to apply machine learning algorithms to analyse the sentiments in the adoption during the COVID-19 pandemic.

Design/methodology/approach

Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like support vector machine (SVM) and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix.

Findings

The paper explores the customer sentiment towards telemedicine apps and their adoption during the COVID-19 pandemic. Text mining that uses natural language processing to extract insights from unstructured text is used to find out the customer sentiment towards the telemedicine apps during the COVID-19 pandemic. Machine learning algorithms like SVM and Naïve Bayes classifier are used for classification, and their sensitivity and specificity are found using a confusion matrix. The customers who used telemedicine apps have positive sentiment as well as negative sentiment towards the telemedicine apps. Some of the customers have concerns about the medicines delivered, their delivery time, the quality of service and other technical difficulties. Even a small percentage of doctors feel uncomfortable in online consultation through the application.

Originality/value

The primary value of this paper lies in providing an overview of the customers’ approach towards the telemedicine apps, especially during the COVID-19 pandemic.

Factors associated with telehealth use among adults in the United States: Findings from the 2020 National Health Interview Survey

INTRODUCTION

During the COVID-19 pandemic, health care shifted to virtual interactions with health professionals. The aim of this study was to examine the determinants of telehealth use in a nationally representative sample of the United States adult population.

METHODS

The study used data from the 2020 National Health Interview Survey of 17,582 respondents aged ≥18. Andersen's model of health services utilization was employed to examine predisposing, enabling, and needs factors associated with past-year telehealth use. Multivariable logistic regression was conducted to examine statistical associations.

RESULTS

32.5% of adults (n = 6402; mean age 51.6, SE = 0.4) reported telehealth use. Predisposing factors: Women and married/partnered adults and those with higher levels of education had greater odds of using telehealth. Adults living in Midwest and South and adults living in medium-small and non-metropolitan areas had decreased odds of using telehealth. Enabling factors: Income and having a usual source of care were positively associated with telehealth use. A negative association was found for those with no insurance and telehealth use, whereas a positive association was found for military insurance. Needs factors: Odds of using telehealth were increased for adults who had well-visits and ER visits in the past 12 months. Mental health services quadrupled the odds of telehealth use. Odds of using telehealth increased with each additional chronic disease, including COVID-19.

CONCLUSION

There are disparities in telehealth use according to sex, education, rurality, access to care, and health needs. Tackling these disparities is pivotal to ensure barriers to telehealth use are not exacerbated post-pandemic.

Telemedicine in Low- and Middle-Income Countries During the COVID-19 Pandemic: A Scoping Review

Background

COVID-19 has impacted the capacity of healthcare systems worldwide, particularly in low- and middle-income countries (LMICs), which are already under strain due to population growth and insufficient resources. Since the COVID-19 pandemic's emergence, there has been an urgent need for a rapid and adequate reaction to the pandemic's disruption of healthcare systems. To this end, telemedicine has been shown in prior research to be a feasible approach. The overarching objective of this scoping review was to determine the extent and acceptance of telemedicine in healthcare in low- and middle-income countries (LMICs) during the COVID-19 pandemic.

Methods

This scoping review followed PRISMA guidelines and Arksey and O'Malley's five-stage framework to identify available evidence. We systematically searched four academic databases for peer-reviewed literature published between January 2020 and April 2021: Medline, PubMed, Web of Science, and Scopus, as well as Google Scholar as a source for grey literature.

Results

The search identified 54 articles with 45,843 participants, including 6,966 healthcare professionals and 36,877 healthcare users. We identified a range of reasons for introducing telemedicine in LMICs during COVID-19, most notably to maintain non-emergency healthcare, enhance access to healthcare providers, and reduce the risk of infection among health users and providers. Overall, healthcare providers and users have shown a high level of acceptance for telemedicine services. During the COVID-19 pandemic, telemedicine provided access to healthcare in the majority of included articles. Nonetheless, some challenges to accepting telemedicine as a method of healthcare delivery have been reported, including technological, regulatory, and economical challenges.

Conclusion

Telemedicine was found to improve access to high-quality healthcare and decrease infection risk in LMICs during COVID-19. In general, infrastructure and regulatory barriers found to be the most significant barriers to wider telemedicine use, and should be considered when implementing telemedicine more broadly. There appears to be a need to prioritize patient data safety, as many healthcare practitioners utilized commercial apps and services as telemedicine systems. Additionally, it appears as though there is a need to increase capacity, skill, and transparency, as well as to educate patients about telemedicine.

Knowledge and attitude of Saudi Arabian citizens towards telemedicine during the COVID-19 pandemic

Background

The objective of this study was to investigate the knowledge and attitudes of Saudi Arabian citizens towards telemedicine during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

A cross-sectional survey was designed to carry out this study. The electronic survey, prepared using Google Forms, was distributed to 1500 randomly selected citizens of Saudi Arabia. A total of 330 participants completed and returned the questionnaire. Basic statistics were used to describe the data.

Results

The majority of the respondents (73.9%) were female. More than half of them (54.8%) were >35 y of age and had graduate or postgraduate degrees (65.5%). A total of 96.7% of the respondents were Saudis. Most of the participants (70.0%) were familiar with the term ‘telemedicine’ and thought that telemedicine (92.1%) could reduce transportation costs. Of the respondents, 58.8% had not seen a telemedicine system before and 67.0% indicated that they had not previously used telemedicine services. A total of 87.3% of the participants agreed or strongly agreed that telemedicine was a useful tool during the COVID-19 pandemic. Also, more than half of the participants agreed or strongly agreed that telemedicine facilitates the diagnosis of people (58.8%), increases communication (58.2%), reduces clinic visits (85.9%) and performs tasks quickly (70.3%). Also, 51.5% of the respondents disagreed or strongly disagreed that telemedicine affects patient privacy.

Conclusions

The outcomes indicated that most of the participants had a positive attitude towards the use of telemedicine as a response to the COVID-19 pandemic in Saudi Arabia. They believed that telemedicine saves time, labour and costs and is an effective tool to treat coronavirus patients at a safe distance. However, the government should develop programs to raise awareness in the population about the use of telemedicine for the treatment of various diseases that afflict the Saudi Arabian people. Likewise, a legal framework must be implemented to protect the privacy of patients and healthcare providers.

The Development of Telemedicine and eHealth in Surgery during the SARS-CoV-2 Pandemic

SARS-CoV-2 has hampered healthcare systems worldwide, but some countries have found new opportunities and methods to combat it. In this study, we focused on the rapid growth of telemedicine during the pandemic around the world. We conducted a systematic literature review of all the articles published up to the present year, 2021, by following the requirements of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. The data extracted comprised eHealth and telemedicine in surgery globally, and independently in Europe, the United States, and Switzerland. This review explicitly included fifty-nine studies. Out of all the articles included, none of them found that telemedicine causes poor outcomes in patients. Telemedicine has created a new path in the world of healthcare, revolutionizing how healthcare is delivered to patients and developing alternative methods for clinicians.

Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19

The evolution of Artificial Intelligence (AI) has revolutionized many aspects of human life, including healthcare. Amidst the Covid-19 pandemic, AI-enabled smartwatches are being used to help users to self-monitor and self-manage their health. Using a framework based on Stimulus-Organism-Response (S-O-R) theory, this present study aimed to explore the use of AI-enabled smartwatches for health purposes, in particular the effects of product quality, service quality, perceived convenience, and perceived ease of use on user experience, trust and user satisfaction. Based on a purposive survey sample of 486 smartphone users in Bangladesh, data collected was analyzed using SPSS software for elementary analyses and PLS-SEM for hypotheses testing. The findings showed that the predictors, namely product quality, service quality, perceived convenience, and perceived ease of use, significantly affected user experience and trust. Similarly, user experience and trust were influential on user satisfaction and played partial mediating roles between predictors and user satisfaction. Besides, gender and age moderate the relationships of experience and trust with customer satisfaction. These findings support the S-O-R theoretical framework and have practical implications for brand and marketing managers of smartwatches in developing product features and understanding users' attitudes and behaviours.

Effect of the COVID-19 pandemic on public managers' attitudes toward digital transformation

The COVID-19 pandemic has induced a process of digital acceleration and has likely changed the attitudes of local public managers toward information and communication technology (ICT). While this attitude change has been reasonably argued, it has not been systematically measured. This study narrows this gap by measuring the attitudes of public managers before and after the outbreak of the COVID-19 pandemic. Overall, this study finds that the pandemic has led public managers to be more confident in the capacity of ICT to help cities achieve their economic, social, and environmental goals and respond to challenges. Both explicit and implicit measures confirmed attitude changes. The explicit measures also indicated that the change in public managers' attitude toward ICT was similar to their change in attitude toward scientific progress and greater than their change in attitude toward other issues that have played a major role during the pandemic, namely, climate change, citizen participation, and privacy.

From luxury to necessity: Progress of touchless interaction technology

Touchless Technology is facilitating the move to Zero User Interface(UI) propelled by the COVID-19 pandemic which has accelerated the use of this technology due to hygiene requirements. Zero UI can be defined as a controlled interface that enables user interaction with technology through voice, gestures, hand interaction, eye tracking, and biometrics such as facial recognition and contactless fingerprints. Smart devices, IoT sensors, smart appliances, smart TVs, smart assistants and consumer robotics are predominant examples of devices in which Zero UI is becoming increasingly adopted. These control interfaces include natural interaction modes such as voice or gestures. Touchscreens and shared devices such as kiosks, self-service counters and interactive displays are present in our everyday lives. Each of these interactions however is a concern for consumers in a post-COVID-19 world where hygiene is of utmost importance. The one-stop solution to hygienic interactions includes touchless technology such as voice control, remote mobile screen take over, biometric, and gesture control as Zero User interfaces. With the breakthroughs in image recognition and natural language processing, powered by advanced computer vision and machine learning, "Zero UI" is becoming a new normal. This paper is focusing on the progress of the touchless interaction technology during the COVID-19 pandemic, which actually accelerated development in this concept and moved it from being a luxury to a life necessity.

Changes in the Comprehensiveness of Rural Medical Care for Older Japanese Patients during the COVID-19 Pandemic

Help-seeking behaviors (HSBs) refer to how people use lay and medical care to address their symptoms and diseases. The COVID-19 pandemic may have changed older, rural patients’ preferences and experiences regarding HSBs, thereby, affecting the comprehensiveness of medical support for communities. This study identified changes in the comprehensiveness of medical care for older, rural patients, who are often dependent on others for accessing medical services. This observational study was performed with patients who lived in Unnan City. Patients’ dependency and changes in comprehensiveness of medical services were assessed and calculated. The total usage of medical care decreased from 2018 to 2020 at all medical care levels. The proportion of patients who received comprehensive care was higher in 2020 than in 2018, at all care levels. At care dependent levels 3 to 5, the differences in the proportions were statistically significant. This study illustrates an association between the COVID-19 pandemic and the proportion of comprehensiveness of medical care among older rural patients with a decrease in medical care usage. Moreover, an improved proportion of comprehensiveness of medical care leads to appropriate HSBs. Going forward, HSBs and patient-centered care should be promoted by policy makers.

Digital Clinics and Mobile Technology Implementation for Mental Health Care

PURPOSE OF REVIEW

Interest in digital mental health, especially smartphone apps, has expanded in light of limited access to mental health services and the need for remote care during COVID-19. Digital clinics, in which apps are blended into routine care, offer a potential solution to common implementation challenges including low user engagement and lack of clinical integration of apps.

RECENT FINDINGS

While the number of mental health apps available in commercial marketplaces continues to rise, there are few examples of successful implementation of these apps into care settings. We review one example of a digital clinic created within an academic medical center and another within the Department of Veterans Affairs. We then discuss how implementation science can inform new efforts to effectively integrate mental health technologies across diverse use cases. Integrating mental health apps into care settings is feasible but requires careful attention to multiple domains that will influence implementation success, including characteristics of the innovation (e.g., utility and complexity of the app), the recipients of the technology (e.g., patients and clinicians), and context (e.g., healthcare system buy-in, reimbursement, and regulatory policies). Examples of effective facilitation strategies that can be utilized to improve implementation efforts include co-production of technology involving all end users, specialized trainings for staff and patients, creation of new team members to aid in app usage (e.g., digital navigators), and re-design of clinical workflows.