Challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic: A scoping review.

Background: Telemedicine has aided patients with diabetes during the COVID-19 pandemic in receiving better healthcare services. However, despite its numerous benefits, the use of this technology has faced several challenges. This study aimed to identify the challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic. Methods: This scoping review was conducted in 2024. Relevant articles published between 2020 and 2023 were searched in databases including PubMed, Scopus, Web of Science, ProQuest, and the Cochrane Library. Initially, 822 articles were retrieved, and after screening 21 articles were selected. Results: The challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic were categorized into the clinical, individual, organizational, and technical challenges. The clinical challenges included the lack of physical examinations and unavailability of patients' medical history. The individual challenges contained difficulties in using smart phones by patients and their low level of literacy. The organizational challenges were related to insufficient laws about obtaining patient consent and limited reimbursement for telemedicine services, and the technical challenges included limited access to the high-speed Internet services and inadequate technical infrastructure for telemedicine services. Most studies highlighted the role of individual and organizational challenges in using this technology. Conclusions: Considering the numerous challenges experienced in using telemedicine for patients with diabetes during the COVID-19 pandemic, it seems that more attention should be paid to address each of these challenges to improve the actual usage, service quality, and user acceptance of telemedicine technology. This, in turn, can lead to saving costs and improving the health status and quality of life of patients with diabetes.

Satisfaction of Patients and Physicians with Telehealth Services during the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.

OBJECTIVES: The rapid spread of coronavirus disease 2019 (COVID-19) posed significant challenges to healthcare systems, prompting the widespread adoption of telehealth to provide medical services while minimizing the risk of virus transmission. This study aimed to assess the satisfaction rates of both patients and physicians with telehealth during the COVID-19 pandemic. METHODS: Searches were conducted in the Web of Science, PubMed, and Scopus databases from January 1, 2020, to January 1, 2023. We included studies that utilized telehealth during the COVID-19 pandemic and reported satisfaction data for both patients and physicians. Data extraction was performed using a form designed by the researchers. A meta-analysis was carried out using random-effects models with the OpenMeta-Analyst software. A subgroup analysis was conducted based on the type of telehealth services used: telephone, video, and a combination of both. RESULTS: From an initial pool of 1,454 articles, 62 met the inclusion criteria for this study. The most commonly used methods were video and telephone calls. The overall satisfaction rate with telehealth during the COVID-19 pandemic was 81%. Satisfaction rates were higher among patients at 83%, compared to 74% among physicians. Specifically, telephone consultations had a satisfaction rate of 77%, video consultations 86%, and a mix of both methods yielded a 77% satisfaction rate. CONCLUSIONS: Overall, satisfaction with telehealth during the COVID-19 pandemic was considered satisfactory, with both patients and physicians reporting high levels of satisfaction. Telehealth has proven to be an effective alternative for delivering healthcare services during pandemics.

Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study.

OBJECTIVES: This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve outcomes and quality of life. METHODS: This crosssectional study analyzed data from 3376 adults over 30 years old at 16 comprehensive health service centers in Tehran, Iran who participated in a diabetes screening program. The dataset was balanced using random sampling and the synthetic minority over-sampling technique (SMOTE). The dataset was split into training set (80%) and test set (20%). Shapley values were calculated to select the most important features. Noise analysis was performed by adding Gaussian noise to the numerical features to evaluate the robustness of feature importance. Five different machine learning algorithms, including CatBoost, random forest, XGBoost, logistic regression, and an artificial neural network, were used to model the dataset. Accuracy, sensitivity, specificity, accuracy, the F1-score, and the area under the curve were used to evaluate the model. RESULTS: Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important factors for predicting fasting blood glucose status. Though the models achieved similar predictive ability, the CatBoost model performed slightly better overall with 0.737 area under the curve (AUC). CONCLUSIONS: A gradient boosted decision tree model accurately identified the most important risk factors related to diabetes. Age, waist-to-hip ratio, body mass index, and systolic blood pressure were the most important risk factors for diabetes, respectively. This model can support planning for diabetes management and prevention.

Telemonitoring in patients with asthma: a systematic review.

BACKGROUND: Monitoring and managing asthma using technology can help increase patient adherence and achieve better asthma control. This study aimed to evaluate the effectiveness of telemonitoring using smartphones and telephone communication compared to usual outpatient clinical evaluation in patients with asthma. DATA SOURCES: This systematic review was conducted in 2023. Databases PubMed, Scopus, Web of Science, and the Google Scholar search engine, were searched from 2013 to 2022. DATA SELECTION: The selected studies were randomized clinical trials that used telemonitoring in patients with asthma. The quality of the studies was evaluated using the JADAD scale. Data were collected using a data extraction form, and the findings were synthesized narratively. This systematic review was conducted following the PRISMA checklist. RESULTS: Initially, 4,147 articles were found, of which 14 were included in the study. The results showed that in some cases, telemonitoring using smartphones and telephone communication in patients with asthma is effective, while in other studies, its effectiveness was not observed. CONCLUSIONS: Telemonitoring using smartphones and telephone communication in patients with asthma can be considered an appropriate strategy to reduce the use of healthcare resources and improve quality of life. However, further studies are recommended to investigate the effectiveness of each of these technologies and their specific outcomes.

The 4P telehealth business framework for Iran.

BACKGROUND: Telehealth services can utilize various information technologies and improve quality and efficiency of healthcare delivery by facilitating education, treatment, follow-up, and decision-making. However, these services are not always commercialized, and in case of commercialization, there is no guarantee for their long-term sustainability in market. Therefore, business models and frameworks are used as part of commercialization processes to identify a set of factors affecting the sustainability, effectiveness, and key business activities. The current study aimed to develop a telehealth business framework for Iran. METHODS: This research was conducted in 2021, and a mixed-methods approach was used for data collection. Initially, a telehealth business framework was developed based on the findings derived from a systematic review and a qualitative research. The proposed framework was then reviewed by an expert panel (n = 9) in which the participants had at least three years of work experience in telehealth. Finally, the framework was validated using the Delphi method (three rounds). RESULTS: The expert panel believed that some components such as partners' expertise, required capital and financial resources, research and analysis, marketing and branding, tax, product registration, and marketing at scientific congresses and science and technology exhibitions needed to be added to the framework. In the Delphi study, 68 out of 74 components proposed in the initial framework were approved across four major dimensions; namely, prerequisites, production, payments and costs, and post-production services. CONCLUSIONS: It seems that the developed framework can facilitate commercializing telehealth technologies and developing business plans. In addition, telehealth start-ups can use this framework and its various components in a competitive market to be more successful in their businesses. However, it is still critical to evaluate the effectiveness of the framework in practice and in relation to the commercialization of telehealth technologies.

Telehealth Business Models and Their Components: Systematic Review.

BACKGROUND: Telehealth technology is an excellent solution to resolve the problems of health care delivery. However, this technology may fail during large-scale implementation. As a result, business models can be used to facilitate commercialization of telehealth products and services. OBJECTIVE: The purpose of this study was to review different types of business models or frameworks and their components used in the telehealth industry. METHODS: This was a systematic review conducted in 2020. The databases used for searching related articles included Ovid, PubMed, Scopus, Web of Science, Emerald, and ProQuest. Google Scholar was also searched. These databases and Google Scholar were searched until the end of January 2020 and duplicate references were removed. Finally, articles meeting the inclusion criteria were selected and the Critical Appraisal Skills Programme (CASP) checklist was used for appraising the strengths and limitations of each study. Data were extracted using a data extraction form, and the results were synthesized narratively. RESULTS: Initially, 4998 articles were found and after screening, 23 were selected to be included in the study. The results showed that new telehealth business models were presented in 13 studies, and the applications of the existing business models were reported in 10 studies. These studies were related to different types of services, namely, telemonitoring (4 studies), telemedicine (3 studies), mobile health (3 studies), telerehabilitation (3 studies), telehealth (2 studies), assisted living technologies (2 studies), sensor-based systems (2 studies), and mobile teledermoscopy, teleradiology, telecardiology, and teletreatment (1 study related to each area). In most of the business models, value proposition, financial variables, and revenue streams were the main components. CONCLUSIONS: Applying business models in the commercialization of telehealth services will be useful to gain a better understanding of the required components, market challenges, and possible future changes. The results showed that different business models can be used for different telehealth technologies in various health systems and cultures. However, it is necessary to evaluate the effectiveness of these models in practice. Moreover, comparing the usefulness of these models in different domains of telehealth services will help identify the strengths and weaknesses of these models for future optimization.

Key components and critical factors for developing a telehealth business framework: a qualitative study.

BACKGROUND: Telehealth technology and related products can help to solve the problems associated with providing health care services and equal distribution of resources. However, in order to run a telehealth business successfully, key components and critical factors need to be taken into account. A telehealth business framework can provide a rich understanding of these components and factors. Therefore, the present study aimed to identify the key components and critical factors for developing a telehealth business framework from the experts' perspectives. METHODS: The present qualitative study was conducted in 2020. The participants were 22 experts in the fields of medical informatics, health information management, telemedicine, telehealth, health entrepreneurship, health insurance, and digital health start-ups. In depth semi-structured interviews were conducted to collect data, and the data were analyzed using framework analysis. RESULTS: Four main themes derived from data analysis. The themes included key components for developing a telehealth business framework, success factors, challenges, and barriers of a telehealth business. Overall, the results indicated that the key components in a telehealth business framework included created value, key resources, key activities, key partners, licenses and permissions, product pricing, revenue, marketing, supporting services, and getting feedback from customers. Although receiving support from different individuals and organizations as well as economic benefits of telehealth services may consider as success factors, there are a number of challenges and barriers which should be taken into account. Otherwise, these factors may hinder the success of a telehealth business. CONCLUSIONS: The development of a telehealth business framework might be an important step towards developing a more complete business plan, facilitating the commercialization of telehealth products, and providing a solution for product sustainability in a competitive market. In the current study, the key components and critical factors for developing a telehealth business framework were identified; however, further research is needed to explore how these components and factors can be helpful in developing business plans and running a successful telehealth business.

The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis.

BACKGROUND: Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was therefore conducted to examine the effects of various CDSSs on physician practice performance and patient outcomes. METHODS: This systematic review was carried out by searching PubMed, Embase, Web of Science, Scopus, and Cochrane Library from 2005 to 2019. The studies were independently reviewed by two researchers. Any discrepancies in the eligibility of the studies between the two researchers were then resolved by consulting the third researcher. In the next step, we performed a meta-analysis based on medication subgroups, CDSS-type subgroups, and outcome categories. Also, we provided the narrative style of the findings. In the meantime, we used a random-effects model to estimate the effects of CDSS on patient outcomes and physician practice performance with a 95% confidence interval. Q statistics and I2 were then used to calculate heterogeneity. RESULTS: On the basis of the inclusion criteria, 45 studies were qualified for analysis in this study. CDSS for prescription drugs/COPE has been used for various diseases such as cardiovascular diseases, hypertension, diabetes, gastrointestinal and respiratory diseases, AIDS, appendicitis, kidney disease, malaria, high blood potassium, and mental diseases. In the meantime, other cases such as concurrent prescribing of multiple medications for patients and their effects on the above-mentioned results have been analyzed. The study shows that in some cases the use of CDSS has beneficial effects on patient outcomes and physician practice performance (std diff in means = 0.084, 95% CI 0.067 to 0.102). It was also statistically significant for outcome categories such as those demonstrating better results for physician practice performance and patient outcomes or both. However, there was no significant difference between some other cases and traditional approaches. We assume that this may be due to the disease type, the quantity, and the type of CDSS criteria that affected the comparison. Overall, the results of this study show positive effects on performance for all forms of CDSSs. CONCLUSIONS: Our results indicate that the positive effects of the CDSS can be due to factors such as user-friendliness, compliance with clinical guidelines, patient and physician cooperation, integration of electronic health records, CDSS, and pharmaceutical systems, consideration of the views of physicians in assessing the importance of CDSS alerts, and the real-time alerts in the prescription.

A Systematic Review of the Effectiveness of Telerehabilitation Interventions for Therapeutic Purposes in the Elderly.

BACKGROUND: Many elderly people suffer from chronic health conditions and mobility limitations. Therefore, they may benefit from traditional rehabilitation or telerehabilitation interventions as an alternative for this type of services. OBJECTIVE: The purpose of this study was to compare the effectiveness of telerehabilitation interventions with traditional rehabilitation services for therapeutic purposes in the elderly. METHODS: This systematic review was conducted in 2018. The searched databases were Cochrane Library, PubMed, Scopus, Web of Science, Embase, and ProQuest. The search was conducted with no time or language limitation. The selected papers included the randomized clinical trial studies in which elderly people aged 60 and over used telerehabilitation services for treatment purposes. The quality of the studies was evaluated by using the physiotherapy evidence database (PEDro) scale. Data were extracted by using a data extraction form and findings were narratively synthesized. RESULTS: After screening the retrieved papers, eight articles were selected to be included in the study. According to the findings, telerehabilitation was used for the elderly after stroke, chronic obstructive pulmonary disease (COPD), total knee replacement, and in patients with the comorbidity of COPD and chronic heart failure. Overall, in most studies, there was no significant difference between the intervention and control groups and the level of improvements was similar for most outcomes. CONCLUSION: Telerehabilitation services can be regarded as an alternative to traditional rehabilitation approaches to reduce outpatient resource utilization and improve quality of life. However, more rigorous studies are suggested to investigate the effectiveness of telerehabilitation services for specific diseases or health conditions.