Remote monitoring of COVID-19 positive high-risk patients in domestic isolation: A feasibility study

Digital home care interventions and quality of primary care for older adults: a scoping review

BACKGROUND

Population aging is forcing the transformation of health care. Long-term care in the home is complex and involves complex communication with primary care services. In this scenario, the expansion of digital health has the potential to improve access to home-based primary care; however, the use of technologies can increase inequalities in access to health for an important part of the population. The aim of this study was to identify and map the uses and types of digital health interventions and their impacts on the quality of home-based primary care for older adults.

METHODS

This is a broad and systematized scoping review with rigorous synthesis of knowledge directed by the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The quantitative data were analyzed through descriptive statistics, and the qualitative data were analyzed through basic qualitative content analysis, considering the organizational, relational, interpersonal and technical dimensions of care. The preliminary results were subjected to consultation with stakeholders to identify strengths and limitations, as well as potential forms of socialization.

RESULTS

The mapping showed the distribution of publications in 18 countries and in the Sub-Saharan Africa region. Older adults have benefited from the use of different digital health strategies; however, this review also addresses limitations and challenges, such as the need for digital literacy and technological infrastructure. In addition to the impacts of technologies on the quality of health care.

CONCLUSIONS

The review gathered priority themes for the equitable implementation of digital health, such as access to home caregivers and digital tools, importance of digital literacy and involvement of patients and their caregivers in health decisions and design of technologies, which must be prioritized to overcome limitations and challenges, focusing on improving quality of life, shorter hospitalization time and autonomy of older adults.

Nurse productivity: using evidence to enhance nurses' use of time

The UK is experiencing a nursing shortage, making it challenging to maintain the staffing levels required to deliver effective patient care. One way of enhancing the care delivered by the existing workforce could be to optimise nurse productivity; however, previous efforts to do this have been largely ineffective, due in part to a focus on the processes of care delivery rather than the nursing activities within these processes. In this article, the author explores the concept of nurse productivity and suggests that enhancing productivity requires the identification of nursing activities and consideration of how these may be undertaken in a more time-efficient manner - or removed altogether. The author discusses two such activities: intentional (hourly) rounding, and fixed-time manual vital signs for patients on general wards. The author also considers the potential of using automatic continuous remote monitoring on general hospital wards to free up nurses' time for other care activities.

CHIVID: A Rapid Deployment of Community and Home Isolation During COVID-19 Pandemics

BACKGROUND

CHIVID is a telemedicine solution developed under tight time constraints that assists Thai healthcare practitioners in monitoring non-severe COVID-19 patients in isolation programs during crises. It assesses patient health and notifies healthcare practitioners of high-risk scenarios through a chatbot. The system was designed to integrate with the famous Thai messaging app LINE, reducing development time and enhancing user-friendliness, and the system allowed patients to upload a pulse oximeter image automatically processed by the PACMAN function to extract oxygen saturation and heart rate values to reduce patient input errors.

METHODS

This article describes the proposed system and presents a mixed-methods study that evaluated the system's performance by collecting survey responses from 70 healthcare practitioners and analyzing 14,817 patient records.

RESULTS

Approximately 71.4% of healthcare practitioners use the system more than twice daily, with the majority managing 1-10 patients, while 11.4% handle over 101 patients. The progress note is a function that healthcare practitioners most frequently use and are satisfied with. Regarding patient data, 58.9%(8,724/14,817) are male, and 49.7%(7,367/14,817) within the 18 to 34 age range. The average length of isolation was 7.6 days, and patients submitted progress notes twice daily on average. Notably, individuals aged 18 to 34 demonstrated the highest utilization rates for the PACMAN function. Furthermore, most patients, totaling over 95.52%(14,153/14,817), were discharged normally.

CONCLUSION

The findings indicate that CHIVID could be one of the telemedicine solutions for hospitals with patient overflow and healthcare practitioners unfamiliar with telemedicine technology to improve patient care during a critical crisis. Clinical and Translational Impact Statement- CHIVID's success arises from seamlessly integrating telemedicine into third-party application within a limited timeframe and effectively using clinical decision support systems to address challenges during the COVID-19 crisis.

Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine

Introduction

Today, modern technology is used to diagnose and treat cardiovascular disease. These medical devices provide exact measures and raw data such as imaging data or biosignals. So far, the Broad Integration of These Health Data into Hospital Information Technology Structures-Especially in Germany-is Lacking, and if data integration takes place, only non-Evaluable Findings are Usually Integrated into the Hospital Information Technology Structures. A Comprehensive Integration of raw Data and Structured Medical Information has not yet Been Established. The aim of this project was to design and implement an interoperable database (cardio-vascular-information-system, CVIS) for the automated integration of al medical device data (parameters and raw data) in cardio-vascular medicine.

Methods

The CVIS serves as a data integration and preparation system at the interface between the various devices and the hospital IT infrastructure. In our project, we were able to establish a database with integration of proprietary device interfaces, which could be integrated into the electronic health record (EHR) with various HL7 and web interfaces.

Results

In the period between 1.7.2020 and 30.6.2022, the data integrated into this database were evaluated. During this time, 114,858 patients were automatically included in the database and medical data of 50,295 of them were entered. For technical examinations, more than 4.5 million readings (an average of 28.5 per examination) and 684,696 image data and raw signals (28,935 ECG files, 655,761 structured reports, 91,113 x-ray objects, 559,648 ultrasound objects in 54 different examination types, 5,000 endoscopy objects) were integrated into the database. Over 10.2 million bidirectional HL7 messages (approximately 14,000/day) were successfully processed. 98,458 documents were transferred to the central document management system, 55,154 materials (average 7.77 per order) were recorded and stored in the database, 21,196 diagnoses and 50,353 services/OPS were recorded and transferred. On average, 3.3 examinations per patient were recorded; in addition, there are an average of 13 laboratory examinations.

Discussion

Fully automated data integration from medical devices including the raw data is feasible and already creates a comprehensive database for multimodal modern analysis approaches in a short time. This is the basis for national and international projects by extracting research data using FHIR.

What are COVID-19 Patient Preferences for and Experiences with Virtual Care? Findings From a Scoping Review

Virtual care became a routine method for healthcare delivery during the coronavirus disease 2019 (COVID-19) pandemic. Patient preferences are central to delivering patient-centered and high-quality care. The pandemic challenged healthcare organizations and providers to quickly deliver safe healthcare to COVID-19 patients. This resulted in varied implementation of virtual healthcare services. With an increased focus on remote COVID-19 monitoring, little research has examined patient experiences with virtual care. This scoping review examined patient experiences and preferences with virtual care among community-based self-isolating COVID-19 patients. We identified a paucity of literature related to patient experiences and preferences regarding virtual care. Few articles focused on patient experiences and preferences as a primary outcome. Our research suggests that (1) patients view virtual care positively and to be feasible to use; (2) patient access to technology impacts patient satisfaction and experiences; and (3) to enhance the patient experience, healthcare organizations and providers need to support patient use of technology and resolve technology-related issues. When planning virtual care modalities, purposeful consideration of patient experiences and preferences is needed to deliver quality patient-centered care.

Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank

Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/ ). This work suggests peripheral thermoregulation as a digital biomarker.

Home monitoring of coronavirus disease 2019 patients in different phases of disease

PURPOSE OF REVIEW

Various home monitoring programs have emerged through the COVID-19 pandemic in different phases of COVID-19 disease.

RECENT FINDINGS

The prehospital monitoring of COVID-19-positive patients detects early deterioration. Hospital care at home provides early discharge with oxygen to empty hospital beds for other patients. Home monitoring during recovery can be used for rehabilitation and detection of potential relapses. General goals of home monitoring in COVID-19 are early detection of deterioration and prompt escalation of care such as emergency department presentation, medical advice, medication prescription and mental support. Due to the innovations of vaccination and treatment changes, such as dexamethasone and tocilizumab, the challenge for the healthcare system has shifted from large numbers of admitted COVID-19 patients to lower numbers of admitted patients with specific risk profiles (such as immunocompromised). This also changes the field of home monitoring in COVID-19. Efficacy and cost-effectiveness of home monitoring interventions depend on the costs of the intervention (use of devices, apps and medical staff) and the proposed patient group (depending on risk factors and disease severity).

SUMMARY

Patient satisfaction of COVID-19 home monitoring programs was mostly high. Home monitoring programs for COVID-19 should be ready to be re-escalated in case of a new global pandemic.

COVID-19 and metabolic syndrome

Convergence of the two pandemics: metabolic syndrome and COVID-19 over last two years has posed unprecedented challenges to individuals as well as healthcare systems. Epidemiological data suggest a close association between metabolic syndrome and COVID-19 while variety of possible pathogenic connections have been proposed while some have been proven. Despite the evidence of high risk for adverse COVID-19 outcomes in people with metabolic syndrome, little is known about the differences in efficacy and safety among people with metabolic syndrome and without. It is important to recognize that among people with metabolic syndrome This review summarizes the current knowledge and epidemiological evidence on the association between metabolic syndrome and adverse COVID-19 outcomes, pathogenic interrelationships, management considerations for acute COVID-19 and post-COVID sequalae and sustaining care of people living with metabolic syndrome with appraisal of evidence and gaps in knowledge.

Diurnal rhythmicity of wearable device-measured wrist temperature predicts future disease incidence in the UK Biobank

Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which are well-established biomarkers for circadian clock function. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n =  200-6,728) compared to controls (range n =  62,107 - 91,134), a total of 73 (36.5%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (13%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). Here, for example, a two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia. A comprehensive phenome-wide atlas of the identified mappings has been made available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/. These findings strongly suggest peripheral thermoregulation as a digital biomarker.

A new approach to digital health? Virtual COVID-19 care: A scoping review

Aims

The use of virtual care enabled by digital technologies has increased, prompted by public health restrictions in response to COVID-19. Non-hospitalized persons in the acute phase of COVID-19 illness may have unique health needs while self-isolating in the community. This scoping review aimed to explore the nature of care, the use of digital technologies, and patient outcomes arising from virtual care among community-based self-isolating COVID-19 patients.

Methods

Literature searches for peer-reviewed articles were conducted in four bibliographic databases: CINAHL, Medline, Embase and Cochrane Database of Systematic Reviews between January and February 2022, followed by hand-searching reference lists of included articles. Two levels of screening using defined eligibility criteria among two independent reviewers were completed.

Results

Of the 773 articles retrieved, 19 were included. Results indicate that virtual care can be safe while enabling timely detection of clinical deterioration to improve the illness trajectory. COVID-19 virtual care was delivered by single health professionals or by multidisciplinary teams using a range of low-technology methods such as telephone to higher technology methods like wearable technology that transmitted physiological data to the care teams for real-time or asynchronous monitoring.

Conclusion

The review described the varied nature of virtual care including its design, implementation, and evaluation. Further research is needed for continued exploration on how to leverage digital health assets for the delivery of appropriate and safe virtual COVID-19 community care, which can support patient recovery, control transmission, and prevent intensifying the burden on the health care system, especially during surges.

Wearable in-ear pulse oximetry validly measures oxygen saturation between 70% and 100%: A prospective agreement study

Objectives

Postoperative monitoring outside intensive and post-anaesthesia care units is seldom, partly due to lack of suitable and approved systems. We therefore aim to validate the oxygen saturation (SpO2) and pulse rate measurement of the in-ear sensor c-med° alpha with a reference pulse oximeter.

Methods

This prospective agreement study was conducted in 12 healthy (ASA 1) adult (18-50 years) volunteers according to the EN ISO 80601-2-61. The sitting volunteers were equipped with the finger pulse oximeter Rad-5 and two c-med° alpha sensors in each ear. The inspiratory oxygen content was reduced via a tight-fitting breathing mask to achieve five defined plateaus with stable SpO2 between 99% and 70%. The deviation of the SpO2 and pulse rate measurements of the c-med° alpha from those of the Rad-5 was calculated using the mean square error (Arms). Bias and limits of agreement between both devices were calculated using the Bland-Altman technique. The precision was compared based on the repeatability coefficients.

Results

The c-med° alpha measured SpO2 had an Arms = 1.9% relative to the Rad-5, a non-significant bias (-0.1% (-0.2% to 0.0%)), levels of agreement from -4.0% to 3.8%, and the same repeatability coefficient (0.8% vs. 0.8%). The c-med° alpha measured pulse rate did not deviate from the one measured with the certified finger pulse oximeter (bias: 0.1 min-1 (0 to 0.1 min-1), level of agreement: -3.6 to 3.7 min-1, Arms: 1.8 min-1).

Conclusions

The c-med° alpha fulfils the EN ISO 80601-2-61 standard and is sufficiently accurate for measuring SpO2 and pulse rate in healthy adults at rest.

Trial registration

EUDAMED No. CIV-21-03-036033.

Health care professionals’ perspectives on the utilisation of a remote surveillance and care tool for patients with COVID-19 in general practice: a qualitative study

Background

Most COVID-19 patients with severe symptoms are treated in hospitals. General practices are responsible for assessing most ambulatory patients. However, they face several challenges managing COVID-19 patients, and those with non-COVID-19 conditions. In April of 2020, we designed a software tool for the structured surveillance of high-risk home-quarantined COVID-19 patients in general practice (CovidCare) including several telephone monitorings, in order to support general practices and early identification of severe courses. This study presents the qualitative results of a mixed-methods process evaluation study on CovidCare.

Methods

In a qualitative process evaluation study conducted between March and May 2021, we explored the perspectives of seven general practitioners (GPs) and twelve VERAHs (medical care assistants with special training) on CovidCare using semi-structured interviews based on the RE-AIM framework (reach, effectiveness, adoption, implementation, maintenance). We used deductive qualitative content analysis employing the RE-AIM framework to assess the utilisation and implementation of CovidCare.

Results

Overall, most health care professionals were satisfied with CovidCare. They highlighted 1) a good orientation for the management of COVID-19 patients, especially due to a high level of uncertainty at the beginning of the pandemic, 2) the possibility to gain new knowledge, and 3) the structured data collection as facilitators for the implementation of CovidCare. Moreover, CovidCare reduced the workload for GPs while some VERAHs perceived a higher workload as they were responsible for large parts of the CovidCare management. However, CovidCare positively affected the VERAHs’ job satisfaction as most patients provided positive feedback and felt less anxious about coping with their disease. Previous experience with the software and an easy integration into daily practice were considered to be crucial utilisation drivers. Time and personnel resources were identified as major barriers. To further improve CovidCare, participants suggested a less comprehensive version of CovidCare, the expansion of inclusion criteria as well as an app for the patients’ self-management.

Conclusion

The COVID-19 surveillance and care tool for COVID-19 patients with increased risk was perceived as useful by GPs and VERAHs. Supportive remote health care tools such as CovidCare are a viable means to maintain comprehensive and continuous health care during a pandemic and may strengthen the primary care system.

Trial registration

German Clinical Trials Register DRKS00022054; date of registration: 02/06/2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01863-z.

Clinical Course and Outcomes among COVID-19 Patients at the Hospitel in Bangkok: A Retrospective Study

A hospitel is a hotel that has been designated as an extension of the healthcare facilities during the COVID-19 pandemic in resource-limited settings. However, the clinical course and outcomes of patients with COVID-19 admitted to this unique type of facility have never been studied. We retrospectively reviewed the medical records of adult patients with COVID-19 who were admitted to a single hospitel in Bangkok, Thailand. Risk factors with respect to chest X-ray progression and clinical progression were analyzed using a logistic regression. A total of 514 patients were recruited, with a mean (standard deviation) age of 35.6 (13.4) years, and 58.6% were women. Patients were admitted after a median (interquartile range) of 3 (2−6) days of illness and were classified with mild (12.3%), moderate (86.6%), and severe (1.1%) conditions. Favipiravir and corticosteroids were prescribed in 26.3% and 14.9% of patients, respectively. Chest X-ray progression was found in 7.6% of patients, and hospital transfer occurred in 2.9%, with no deaths. Favipiravir use (odds ratio (OR) 3.3, 95% confidence interval (CI) 1.4−7.5, p = 0.005), nausea/vomiting after admission (OR 32.3, 95% CI 1.5−700.8, p = 0.03), and higher oxygen saturation on admission (OR 1.99; 95% CI 1.22−3.23, p = 0.005) were factors associated with chest X-ray progression. Additionally, an oxygen requirement on admission was an independent risk factor for hospital transfer (OR 904, 95% CI 113−7242, p < 0.001). In a setting where the hospitel has been proposed as an extension facility for patients with relatively non-severe COVID-19, most patients could achieve a favorable clinical outcome. However, patients who require oxygen supplementation should be closely monitored for disease progression and promptly transferred to a hospital if necessary.

COVID-box Experiences of Patients and Health Care Professionals (COVID-box Project): Single-Center, Retrospective, Observational Study

Background

During the COVID-19 pandemic, several home monitoring programs have described the success of reducing hospital admissions, but only a few studies have investigated the experiences of patients and health care professionals.

Objective

The objective of our study was to determine patients’ and health care professionals’ experiences and satisfaction with employing the COVID-box.

Methods

In this single-center, retrospective, observational study, patients and health care professionals were asked to anonymously fill out multiple-choice questionnaires with questions on a 5-point or 10-point Likert scale. The themes addressed by patients were the sense of reassurance and safety, experiences with teleconsultations, their appreciation for staying at home, and the instructions for using the COVID-box. The themes addressed by health care professionals who treated patients with the COVID-box were the characteristics of the COVID-box, the technical support service and general satisfaction, and their expectations and support for this telemonitoring concept. Scores were interpreted as insufficient (≤2 or ≤5, respectively), sufficient (3 or 6-7, respectively), or good (≥4 or ≥8, respectively) on a 5-point or 10-point Likert scale.

Results

A total of 117 patients and 25 health care professionals filled out the questionnaires. The median score was 4 (IQR 4-5) for the sense of safety, the appreciation for staying at home, and experiences with teleconsultations, with good scores from 76.5% (88/115), 86% (56/65), and 83.6% (92/110) of the patients, respectively. Further, 74.4% (87/117) of the patients scored the home monitoring program with a score of ≥8. Health care professionals scored the COVID-box with a minimum median score of 7 (IQR 7-10) on a 10-point scale for all domains (ie, the characteristics of the COVID-box and the technical support service and general satisfaction). For the sense of safety, user-friendliness, and additional value of the COVID-box, the median scores were 8 (IQR 8-10), 8 (IQR 7-9), and 10 (IQR 8-10), respectively, with good scores from 86% (19/22), 75% (15/20), and 96% (24/25) of the health care professionals, respectively. All health care professionals (25/25, 100%) gave a score of ≥8 for supporting this home monitoring concept, with a median score of 10 (IQR 10-10).

Conclusions

The positive experiences and satisfaction of involved users are key factors for the successful implementation of a novel eHealth solution. In our study, patients, as well as health care professionals, were highly satisfied with the use of the home monitoring program—the COVID-box project. Remote home monitoring may be an effective approach in cases of increased demand for hospital care and high pressure on health care systems.

Digital Health Applications in Oncology: An Opportunity to Seize

Digital health advances have transformed many clinical areas including psychiatric and cardiovascular care. However, digital health innovation is relatively nascent in cancer care, which represents the fastest growing area of health-care spending. Opportunities for digital health innovation in oncology include patient-facing technologies that improve patient experience, safety, and patient-clinician interactions; clinician-facing technologies that improve their ability to diagnose pathology and predict adverse events; and quality of care and research infrastructure to improve clinical workflows, documentation, decision support, and clinical trial monitoring. The COVID-19 pandemic and associated shifts of care to the home and community dramatically accelerated the integration of digital health technologies into virtually every aspect of oncology care. However, the pandemic has also exposed potential flaws in the digital health ecosystem, namely in clinical integration strategies; data access, quality, and security; and regulatory oversight and reimbursement for digital health technologies. Stemming from the proceedings of a 2020 workshop convened by the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine, this article summarizes the current state of digital health technologies in medical practice and strategies to improve clinical utility and integration. These recommendations, with calls to action for clinicians, health systems, technology innovators, and policy makers, will facilitate efficient yet safe integration of digital health technologies into cancer care.

Concerns of Home Isolating COVID-19 Patients While Receiving Care via Telemedicine during the Pandemic in the Northern Thailand: A Qualitative Study on Text Messaging

As there were strict limits on contact between health professionals and patients during the COVID-19 pandemic, telemedicine increased in importance with regard to improving the provision of health care and became the preferred method of care. This study aims to determine the topics of concern expressed by individuals with COVID-19 receiving care at home via teleconsultation. The qualitative study was conducted using secondary data of chat messages from 213 COVID-19 patients who had consented to online consultation with the health care team. The messages were sent during the home isolation period, which was between 29th October and 20th December 2021. Thematic analysis was used to analyze the data. All patients had consented to the use of their data. A small majority of the patients were female (58.69%). The average age was 32.26 ± 16.92 years. A total of 475 questions were generated by 150 patients during the isolation period. Nearly thirty percent (29.58%) never asked any questions. From the analysis, the questions could be divided into three themes including: (1) complex care system; (2) uncertainty about self-care and treatment plan with regard to lack of knowledges and skills; and (3) concern about recovery and returning to the community after COVID-19 infection. In conclusion, there were enquiries about many aspects of medical care during home isolation, detailed answers from professionals were useful for the self-care of patients and to provide guidance for their future health behavior. The importance of the service being user friendly and accessible to all became increasingly evident.

Addressing the Needs of Older Adults With Cancer in Low- and Middle-Income Settings

The number of older adults in the world is projected to increase steeply over the next 30 years; most older adults will live in low- and middle-income countries. This will have a direct impact on the global cancer burden, as cancer is largely a disease of aging. A revolution in the way we care for older adults in low- and middle-income settings is needed to meet rapidly rising demands. Regardless of a nation's relative wealth or resources, implementing the geriatric assessment in cancer care has presented a challenge because of omission of the principles of geriatric oncology from formal training and continuing education, lack of time, and a shortage of qualified personnel. To meet the challenge of caring for older adults globally, we must: (1) re-imagine aging-focused training for providers and nurses, (2) create and strengthen collaborations/partnerships between geriatric oncology teams and aging-service organizations, and (3) increase advocacy for age-friendly health care policy. By harnessing technology, the reach of specialized oncology education and care can be extended even-or especially-to low- and middle-income settings.

Implementation of Diabetes Care and Educational Program via Telemedicine in Patients with COVID-19 in Home Isolation in Thailand: A Real-World Experience

Background

The coronavirus disease (COVID‐19) outbreak in Bangkok led to a shortage of hospital capacity, and a home isolation system was set up. We described the process of diabetes self‐management education and support (DSMES) and glycemic management via telemedicine, along with outcomes in home‐isolated patients with COVID‐19 infection.

Methods

A retrospective chart review of glucose values, insulin and corticosteroids use, and outcomes was performed.

Results

A volunteer group of 21 endocrinologists and 21 diabetes educators/nurses formed the consultation team. Patients with diabetes or at high‐risk of diabetes and receiving corticosteroids were referred by primary volunteer physicians. Glucometers and related supplies, and insulin were donated, and delivered via same‐day delivery services. A chat group of an individual patient/their caregiver, diabetes educator, endocrinologist, and primary physician was formed (majority via LINE^® platform) to assess the patient's clinical status and need. Real‐time virtual DSMES sessions were performed and treatments were adjusted via smartphone application or telephone. There were 119 patients (1,398 service days), mean (SD) age 62.0 (13.6) years, 85.7% had a history of type 2 diabetes, and 84.0% received corticosteroids. Insulin was used in 88 patients; 69 of whom were insulin‐naïve. During the first 10 days, there were 2,454 glucose values. The mean glucose level on day 1 was 280.6 (122.3) mg/dL, and declined to 167.7 (43.4) mg/dL on day 10. Hypoglycemia occurred in 1.4% of the values. A majority of patients (79.5%) recovered at home.

Conclusion

Diabetes care and DSMES delivered via telemedicine to patients on home isolation during COVID‐19 pandemic was safe and effective.

The Digital Health: From the Experience of the COVID-19 Pandemic Onwards

Digital health has a long history of development and is particularly resonant in the last two years, due to the pandemic [...].

Utilization of an Electronic Health Record Integrated Risk Score to Predict Hospitalization Among COVID-19 Patients

Objective:

To evaluate the performance of an Electronic Health Record (EHR) integrated risk score for COVID-19 positive outpatients to predict 30-day risk of hospitalization.

Patients and Methods:

A retrospective observational study of 67 470 patients with COVID-19 confirmed by polymerase chain reaction (PCR) test between March 12, 2020 and February 8, 2021. Risk scores were calculated based on data in the chart at the time of the incident infection.

Results:

The Mayo Clinic COVID-19 risk score consisted of 13 components included age, sex, chronic lung disease, congenital heart disease, congestive heart failure, coronary artery disease, diabetes mellitus, end stage liver disease, end stage renal disease, hypertension, immune compromised, nursing home resident, and pregnant. Univariate analysis showed all components, except pregnancy, have significant (P < .001) association with admission. The Mayo Clinic COVID-19 risk score showed a Receiver Operating Characteristic Area Under Curve (AUC) of 0.837 for the prediction of admission for this large cohort of COVID-19 positive patients.

Conclusion:

The Mayo Clinic COVID-19 risk score is a simple score that is easily integrated into the EHR with excellent predictive performance for severe COVID-19. It can be leveraged to stratify risk for severe COVID-19 at initial contact, when considering therapeutics or in the allocation of vaccine supply.

A Multimodal Strategy to Reduce the Risk of Hospitalization/death in Ambulatory Patients with COVID-19

Background

Different interventions have been implemented worldwide for the house-hold monitoring of patients with mild COVID-19 to reduce the burden of healthcare systems and guarantee quality of care. Telephone follow up and treatment kits have not been evaluated in the context of a national-wide primary care program.

Aim of the study

To compare the risk of hospitalization and death for COVID-19 between ambulatory patients who received and those who did not receive a treatment kit and telephone follow-up in a developing country

Methods

A two-group comparative analysis was conducted using data from the medical information systems of the Mexican Institute of Social Security. We included a total of 28,048 laboratory-confirmed SARS-CoV-2 patients: 7,898 (28.2%) received a medical kit and 20,150 (71.8%) did not. The incidence rates of hospitalization and death combined were calculated. To identify significant associations between hospitalization or death and treatment medical kits, we calculated the risk ratios using a multivariate logistic model.

Results

The incidence of hospitalization was 6.14% in patients who received a kit and 11.71% in those who did not. Male sex, age, and a medical history of obesity, hypertension, diabetes, immunosuppression, or kidney disease were associated with increased risk of hospitalization or death. The risk rates were reduced in patients who received a medical kit or telephone follow-up. In the multivariate model, receiving a medical kit was associated with a lower risk of hospitalization or death from COVID-19: adjusted risk ratio 0.41 (95% confidence interval 0.36–0.47).

Conclusion

Use of a multimodal strategy may reduce the risk of hospitalization and death in adult outpatients with mild COVID-19.