Evidence map›Paper›PMID 36763638›Full record

ArticleJMIR formative research2023

Protecting Older Adult Residents in Care Facilities Against Influenza and COVID-19 Using the Influenza Communication, Advice and Reporting (FluCARE) App: Prospective Cohort Mixed Methods Study.

Emma Quinn, Kai Hsun Hsiao, Travers Johnstone, Maria Gomez, Arun Parasuraman, Andrew Ingleton, Nicholas Hirst, Zeina Najjar, Leena Gupta

Open access · goldFull text read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Emma Quinn *Public Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0001-9567-6756
Kai Hsun Hsiao *Public Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0002-4880-7538
Travers JohnstonePublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0002-5447-5509
Maria GomezPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0003-4336-6099
Arun ParasuramanPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0002-6524-7288
Andrew IngletonPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0001-7875-760X
Nicholas HirstPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0003-3947-007X
Zeina NajjarPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0002-1008-4119
Leena GuptaPublic Health Unit, Sydney Local Health District, Sydney, Australia.ORCID https://orcid.org/0000-0002-4283-2919
Sydney Local Health District · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection and response to influenza and COVID-19 outbreaks in aged care facilities (ACFs) are critical to minimizing health impacts. The Sydney Local Health District (SLHD) Public Health Unit (PHU) has developed and implemented a novel web-based app with integrated functions for online line listings, detection algorithms, and automatic notifications to responders, to assist ACFs in outbreak response. The goal of the Influenza Outbreak Communication, Advice and Reporting (FluCARE) app is to reduce time delays to notifications, which we hope will reduce the spread, duration, and health impacts of an influenza or COVID-19 outbreak, as well as ease workload burdens on ACF staff.

objectiveThe specific aims of the study were to (1) evaluate the acceptability and user satisfaction of the implementation and use of FluCARE in helping ACFs recognize, notify, and manage influenza and COVID-19 outbreaks in their facility; (2) identify the safety of FluCARE and any potential adverse outcomes of using the app; and (3) identify any perceived barriers or facilitators to the implementation and use of FluCARE from the ACF user perspective.

methodsThe FluCARE app was piloted from September 2019 to December 2020 in the SLHD. Associated implementation included promotion and engagement, user training, and operational policies. Participating ACF staff were invited to complete a posttraining survey. Staff were also invited to complete a postpilot evaluation survey that included the user Mobile Application Rating Scale (uMARS) measuring app acceptance, utility, and barriers and facilitators to use. An issues log was also prospectively maintained to assess safety. Survey data were analyzed descriptively or via content analysis where appropriate.

resultsSurveys were completed by 31 consenting users from 27 ACFs. FluCARE was rated 3.91 of 5 overall on the uMARS. Of the 31 users, 25 (80%) would definitely use FluCARE for future outbreaks, and all users agreed that the app was useful for identifying influenza and COVID-19 outbreaks at their facilities. There were no reported critical issues with incorrect or missed outbreak detection. User training, particularly online training modules, and technical support were identified as key facilitators to FluCARE use.

conclusionsFluCARE is an acceptable, useful, and safe app to assist ACF staff with early detection and response to influenza and COVID-19 outbreaks. This study supports feasibility for ongoing implementation and efficacy evaluation, followed by scale-up into other health districts in New South Wales.

Indexed as

AFCaged carecare facilitycare homeCOVID-19detectdigital healthdisease controldisease spreadefficacyelderlyelderly populationfeasibilityhealth applicationhealth impactinfection controlinfection spreadinfluenzalong term careLTCmHealthmobile applicationmonitoringnotificationnursing homeolder adultonline trainingoutbreakpreventionretirement homesatisfactionweb app

Identifiers

PMID36763638
PMCPMC10013678
OpenAlexW4313119760

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read78
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.