Evidence map›Paper›PMID 32470974›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

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

Jason J Saleem, Jacob M Read, Boyd M Loehr, Kathleen L Frisbee, Nancy R Wilck, John J Murphy, Brian M Vetter, Jennifer Herout

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Impact of Executive Function on Retention and Compliance in Physical Therapy in Veterans.Archives of rehabilitation research and clinical translation · 2024
    Article
  7. Observational
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Secure Messaging and COVID-19: A Content Analysis of Patient-Clinician Communication During the Pandemic.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Practice Considerations for Adapting in-Person Groups to Telerehabilitation.International journal of telerehabilitation · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jason J SaleemDepartment of Industrial Engineering, J.B. Speed School of Engineering, University of Louisville, Louisville, Kentucky, USA.
Jacob M ReadDepartment of Industrial Engineering, J.B. Speed School of Engineering, University of Louisville, Louisville, Kentucky, USA.
Boyd M LoehrOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.
Kathleen L FrisbeeOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.
Nancy R WilckOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.
John J MurphyOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.
Brian M VetterOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.
Jennifer HeroutOffice of Connected Care, Office of Health Informatics, Veterans Health Administration, Department of Veterans Affairs (VA), Washington DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The US Department of Veterans Affairs (VA) is using an automated short message service application named "Annie" as part of its coronavirus disease 2019 (COVID-19) response with a protocol for coronavirus precautions, which can help the veteran monitor symptoms and can advise the veteran when to contact his or her VA care team or a nurse triage line. We surveyed 1134 veterans on their use of the Annie application and coronavirus precautions protocol. Survey results support what is likely a substantial resource savings for the VA, as well as non-VA community healthcare. Moreover, the majority of veterans reported at least 1 positive sentiment (felt more connected to VA, confident, or educated and/or felt less anxious) by receiving the protocol messages. The findings from this study have implications for other healthcare systems to help manage a patient population during the coronavirus pandemic.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralText MessagingVeteransBetacoronavirusCOVID-19Decision TreesHumansMobile ApplicationsSARS-CoV-2TelemedicineTriageUnited StatesUnited States Department of Veterans AffairscoronavirusCOVID-19mobile apptext messagingvirtual care

Identifiers

PMID32470974
PMCPMC7313999

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.