Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019

Jose, Thulasee; Warner, David O.; O’Horo, John C.; Peters, Steve G.; Chaudhry, Rajeev; Binnicker, Matthew J.; Burger, Charles D.

doi:10.1016/j.mayocpiqo.2020.12.004

Cited by 18 publications

(13 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 Also, COVID-19 diagnosis in our study was confirmed using a diagnostic PCR test. 7 This analysis is subject to the limitations common to observational cohort studies, for example, inclusion of some, but likely not all, confounding variables (ie, related both to COVID-19 risk and e-cigarette use). Study participants were a convenience sample who presented for outpatient care to Mayo Clinic's ambulatory clinics, a sample that may not be entirely representative of the population of e-cigarette users in the United States.…”

Section: Discussionmentioning

confidence: 99%

“…The diagnosis of COVID-19 within this period was ascertained using COVID-19 registry data as previously described. 7 All patients with current or former history of SARS-CoV-2 infection (a positive SARS-CoV-2 test or active infection record in EHR or a diagnosis of COVID-19 on the problem list of the EHR) are included in this validated registry. 7 …”

Section: Methodsmentioning

confidence: 99%

“…7 All patients with current or former history of SARS-CoV-2 infection (a positive SARS-CoV-2 test or active infection record in EHR or a diagnosis of COVID-19 on the problem list of the EHR) are included in this validated registry. 7…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Electronic Cigarette Use Is Not Associated with COVID-19 Diagnosis

Jose

Croghan

Hays

et al. 2021

J Prim Care Community Health

Self Cite

View full text Add to dashboard Cite

This analysis tested the hypothesis that current e-cigarette use was associated with an increased risk of SARS-CoV-2 infection in patients seeking medical care. E-cigarette and conventional cigarette use were ascertained using a novel electronic health record tool, and COVID-19 diagnosis was ascertained by a validated institutional registry. Logistic regression models were fit to assess whether current e-cigarette use was associated with an increased risk of COVID-19 diagnosis. A total of 69,264 patients who were over the age of 12 years, smoked cigarettes or vaped, and were sought medical care at Mayo Clinic between September 15, 2019 and November 30, 2020 were included. The average age was 51.5 years, 62.1% were females and 86.3% were white; 11.1% were currently smoking cigarettes or using e-cigarettes and 5.1% tested positive for SARS-CoV-2. Patients who used only e-cigarettes were not more likely to have a COVID-19 diagnosis (OR 0.93 [0.69-1.25], P = .628), whereas those who used only cigarettes had a decreased risk (OR 0.43 [0.35-0.53], P < .001). The OR for dual users fell between these 2 values (OR 0.67 [0.49-0.92], P = .013). Although e-cigarettes have the well-documented potential for harm, they do not appear to increase susceptibility to SARS-CoV-2 infection. This result suggests the hypothesis that any beneficial effects of conventional cigarette smoking on susceptibility are not mediated by nicotine.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Electronic Cigarette Use Is Not Associated with COVID-19 Diagnosis

Jose

Croghan

Hays

et al. 2021

J Prim Care Community Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…An integrated model of digital disease management might considerably relieve the burden to ambulatory health care, if it is implemented as an interoperable digital solution following evidence-based medical knowledge, operated by addressing the personal needs of patients, and hosted by an approved medical body. 147 , 148 This model requires the following considerations: the patient must have access to evidence-based health information in a language adjusted for health literacy, there must be medical indicators representing the therapeutic goal or corridor for patients, such an indicator must be technically measurable, and the patient must have a therapy that can be adjusted by patient self-management. Applying smart digital disease management might have the potential to substantially reduce the throughput in the ambulatory health-care system.…”

Section: Long-term Consequences and Monitoring After Covid-19mentioning

confidence: 99%

COVID-19 and metabolic disease: mechanisms and clinical management

Steenblock

Schwarz

Ludwig

et al. 2021

The Lancet Diabetes & Endocrinology

191

160

View full text Add to dashboard Cite

Up to 50% of the people who have died from COVID-19 had metabolic and vascular disorders. Notably, there are many direct links between COVID-19 and the metabolic and endocrine systems. Thus, not only are patients with metabolic dysfunction (eg, obesity, hypertension, non-alcoholic fatty liver disease, and diabetes) at an increased risk of developing severe COVID-19 but also infection with SARS-CoV-2 might lead to new-onset diabetes or aggravation of pre-existing metabolic disorders. In this Review, we provide an update on the mechanisms of how metabolic and endocrine disorders might predispose patients to develop severe COVID-19. Additionally, we update the practical recommendations and management of patients with COVID-19 and post-pandemic. Furthermore, we summarise new treatment options for patients with both COVID-19 and diabetes, and highlight current challenges in clinical management.

show abstract

“…Patients' data collected through EHR can be used in research and provide an opportunity to study diseases and extract clinical knowledge. 57 Integrating EHR with other systems and software, including mobile apps, can further enhance its potential benefits. When apps are integrated with the EHR, they fully optimize its efficiency.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of m‐Health‐rehabilitation for respiratory disorders: A systematic review

Kiani

Abasi

Yazdani

2022

Health Science Reports

View full text Add to dashboard Cite

Background and Aims Chronic respiratory diseases are prominent causes of morbidity worldwide that impose significant social and economic burdens on individuals and communities. Pulmonary rehabilitation is one of the main aspects of medical rehabilitation. Nowadays, mobile health apps deliver pulmonary rehabilitation support via smartphones. This article presents a systematic review of the literature on m‐Health apps used in respiration disorders rehabilitation. Methods A systematic search was performed on MEDLINE (through PubMed), Web of Science, and Scopus in May 2021 without any date limitation. This study was using a combination of keywords and MeSH terms associated with pulmonary rehabilitation. Relevant studies were selected by two independents and were categorized studies results. The inclusion criterion was m‐Health apps for pulmonary rehabilitation and exclusion criteria mobile‐based interventions, by voice call or short message service and cardiopulmonary articles. Results Searching scientific databases yielded 161 relevant articles. Then, 27 articles were included in the study with a complete evaluation of the articles. Sixty percent of them were related to patients with chronic obstructive pulmonary disease (COPD). Rehabilitation aiming to improve the quality of life, promote self‐management, encourage physical activity, and reduce the symptoms as the most common goals of pulmonary rehabilitation using m‐Health apps; 89% of these studies showed that m‐Health apps can be effective in improving pulmonary rehabilitation. In addition, 37% of studies reported high usability and acceptance. However, the results of some studies show that adherence to apps decreases in the long run. Conclusion Our study shows that m‐Health pulmonary rehabilitation apps are effective in improving the quality of life, self‐management, and physical activity. According to the results, it seems that using the m‐Health apps for pulmonary rehabilitation can be useful in the COVID‐19 pandemic and help reduce respiratory disorders in patients with COVID‐19 disease.

show abstract

Digital Health Surveillance Strategies for Management of Coronavirus Disease 2019

Cited by 18 publications

References 54 publications

Electronic Cigarette Use Is Not Associated with COVID-19 Diagnosis

Electronic Cigarette Use Is Not Associated with COVID-19 Diagnosis

COVID-19 and metabolic disease: mechanisms and clinical management

Evaluation of m‐Health‐rehabilitation for respiratory disorders: A systematic review

Contact Info

Product

Resources

About