Veterans’ response to an automated text messaging protocol during the COVID-19 pandemic

Saleem, Jason J.; Read, Jacob M.; Loehr, B; Frisbee, Kathleen L.; Wilck, Nicola; Murphy, John J.; Vetter, Brian; Herout, Jennifer

doi:10.1093/jamia/ocaa122

Cited by 27 publications

(32 citation statements)

References 4 publications

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“…A short text message was another m-health application for the response to the COVID-19 pandemic. This use case had been reported in Barrett et al, Agyapong et al, and Saleem et al studies [ [24] , [25] , [26] ]. The short message services have been previously referred to as an effective tool during disease outbreaks which significantly had led to enhancing notification of disease outbreaks in Kenya [ 33 ].…”

Section: Discussionsupporting

confidence: 54%

“…The US Department of Veterans Affairs (VA) used an automated short message service (SMS) application called “Annie” to support the management of patients during the COVID-19 outbreak. Two protocols were used to develop this program as follows: Coronavirus Precautions Protocol (CPP) that was supported through providing educational content about COVID-19 precautions by sending wellness questions and educational tips Isolation/Quarantine that consisted of 9 questions about geographic distribution, responses to the Annie messages, clinical status (self-report), and activities that had taken or not taken according to the received messages [ 26 ]. …”

Section: Resultsmentioning

confidence: 99%

“…Isolation/Quarantine that consisted of 9 questions about geographic distribution, responses to the Annie messages, clinical status (self-report), and activities that had taken or not taken according to the received messages [ 26 ].…”

Section: Resultsmentioning

confidence: 99%

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A scope of mobile health solutions in COVID-19 pandemics

Asadzadeh

Kalankesh

2021

Informatics in Medicine Unlocked

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Background and aim COVID-19 has become an international emergency. The use of digital solutions can be effective in managing, preventing, and overcoming the further spread of infectious disease outbreaks. Accordingly, the use of mobile-health (m-health) technologies has the potential to promote public health. This review aimed to study the application of m-health solutions for the management of the COVID-19 outbreak. Methods The search strategy was done in Medline (PubMed), Embase, IEEE, and Google Scholar by using related keywords to m-health and COVID-19 on July 6, 2020. English papers that used m-health technologies for the COVID-19 outbreak were included. Results Of the 2046 papers identified, 16 were included in this study. M-health had been used for various aims such as early detection, fast screening, patient monitoring, information sharing, education, and treatment in response to the COVID-19 outbreak. M-health solutions were classified into four use case categories: prevention, diagnosis, treatment, and protection. The mobile phone-based app and short text massaging were the most frequently used modalities, followed by wearables, portable screening devices, mobile-telehealth, and continuous telemetry monitor during the pandemics. Conclusion It appears that m-health technologies played a positive role during the COVID-19 outbreak. Given the extensive capabilities of m-health solutions, investigation and use of all potential applications of m-health should be considered for combating the current Epidemics and mitigating its negative impacts.

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Section: Discussionsupporting

confidence: 54%

Section: Resultsmentioning

confidence: 99%

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A scope of mobile health solutions in COVID-19 pandemics

Asadzadeh

Kalankesh

2021

Informatics in Medicine Unlocked

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“…This reliance will likely increase as systems address the backlog of deferred care associated with the pandemic and continue to emphasize virtual care. 5 , 6 …”

Section: Introductionmentioning

confidence: 99%

Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System

et al. 2021

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“…These tools are rapidly being deployed to support the medical management of the current epidemic [2]. However, despite the rapid growth in patient-facing digital and AI-driven technologies, other than reports of user satisfaction [11][12][13], there are limited data on the usage patterns and characteristics of these technologies in the management of COVID-19 and on their utility for advancing clinical research of COVID-19. Examining the characteristics and symptoms of digital technology users can help identify novel features associated with positivity or severity of COVID-19 and advance our understanding of the disease.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study (Preprint)

Perlman¹,

Zilberg²,

Bak³

et al. 2020

Preprint

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BACKGROUND Patient-facing digital health tools have been promoted to help patients manage concerns related to COVID-19 and to enable remote care and self-care during the COVID-19 pandemic. It has also been suggested that these tools can help further our understanding of the clinical characteristics of this new disease. However, there is limited information on the characteristics and use patterns of these tools in practice. OBJECTIVE The aims of this study are to describe the characteristics of people who use digital health tools to address COVID-19–related concerns; explore their self-reported symptoms and characterize the association of these symptoms with COVID-19; and characterize the recommendations provided by digital health tools. METHODS This study used data from three digital health tools on the K Health app: a protocol-based COVID-19 self-assessment, an artificial intelligence (AI)–driven symptom checker, and communication with remote physicians. Deidentified data were extracted on the demographic and clinical characteristics of adults seeking COVID-19–related health information between April 8 and June 20, 2020. Analyses included exploring features associated with COVID-19 positivity and features associated with the choice to communicate with a remote physician. RESULTS During the period assessed, 71,619 individuals completed the COVID-19 self-assessment, 41,425 also used the AI-driven symptom checker, and 2523 consulted with remote physicians. Individuals who used the COVID-19 self-assessment were predominantly female (51,845/71,619, 72.4%), with a mean age of 34.5 years (SD 13.9). Testing for COVID-19 was reported by 2901 users, of whom 433 (14.9%) reported testing positive. Users who tested positive for COVID-19 were more likely to have reported loss of smell or taste (relative rate [RR] 6.66, 95% CI 5.53-7.94) and other established COVID-19 symptoms as well as ocular symptoms. Users communicating with a remote physician were more likely to have been recommended by the self-assessment to undergo immediate medical evaluation due to the presence of severe symptoms (RR 1.19, 95% CI 1.02-1.32). Most consultations with remote physicians (1940/2523, 76.9%) were resolved without need for referral to an in-person visit or to the emergency department. CONCLUSIONS Our results suggest that digital health tools can help support remote care and self-management of COVID-19 and that self-reported symptoms from digital interactions can extend our understanding of the symptoms associated with COVID-19.

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Veterans’ response to an automated text messaging protocol during the COVID-19 pandemic

Cited by 27 publications

References 4 publications

A scope of mobile health solutions in COVID-19 pandemics

A scope of mobile health solutions in COVID-19 pandemics

Factors Associated With Opting Out of Automated Text and Telephone Messages Among Adult Members of an Integrated Health Care System

Characteristics and Symptoms of App Users Seeking COVID-19–Related Digital Health Information and Remote Services: Retrospective Cohort Study (Preprint)

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