Evidence map›Paper›PMID 33792010›Full record

ArticleApplied clinical informatics2021

Text Messaging Real-Time COVID-19 Clinical Guidance to Hospital Employees.

Cheyenne Williams, Aditi Rao, Justin B Ziemba, Jennifer S Myers, Neha Patel

Abstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Cheyenne WilliamsPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Aditi RaoHospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Justin B ZiembaPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Jennifer S MyersPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Neha PatelPerelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the initial days of the coronavirus disease 2019 (COVID-19) pandemic, hospital-wide practices rapidly evolved, and hospital employees became a critical population for receiving consistent and timely communication about these changes.

objectivesWe aimed to rapidly implement enterprise text messaging as a crisis communication intervention to deliver key COVID-related safety and practice information directly to hospital employees.

methodsUtilizing a secure text-messaging platform already routinely used in direct patient care, we sent 140-character messages containing targeted pandemic-related updates to on-duty hospital employees three times per week for 13 weeks. This innovation was evaluated through the analysis of aggregate "read" receipts from each message. Effectiveness was assessed by rates of occupational exposures to COVID-19 and by two cross-sectional attitudinal surveys administered to all text-message recipients.

resultsOn average, each enterprise text message was sent to 1,997 on-duty employees. Analysis of "read" receipts revealed that on average, 60% of messages were consistently read within 24 hours of delivery, 34% were read in 2 hours, and 16% were read in 10 minutes. Readership peaked and fell in the first week of messaging but remained consistent throughout the remainder of the intervention. A survey administered after 2 weeks revealed that 163 (79%) users found enterprise texts "valuable," 152 (73%) users would recommend these texts to their colleagues, and 114 (55%) users preferred texts to email. A second survey at 9 weeks revealed that 109 (80%) users continued to find texts "valuable." Enterprise messaging, in conjunction with the system's larger communication strategy, was associated with a decrease in median daily occupational exposure events (nine events per day premessaging versus one event per day during messaging).

conclusionEnterprise text messages sent to hospital-employee smartphones are an efficient and effective strategy for urgent communications. Hospitals may wish to leverage this technology during times of routine operations and crisis management.

Indexed as

Health PersonnelHospitalsPractice Guidelines as TopicText MessagingAttitude of Health PersonnelCOVID-19HumansOccupational ExposureSurveys and Questionnaires

Identifiers

PMID33792010
PMCPMC8013730

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.