Evidence map›Paper›PMID 35743902›Full record

ArticleLife (Basel, Switzerland)2022

What Went Wrong with the IMMUNI Contact-Tracing App in Italy? A Cross-Sectional Survey on the Attitudes and Experiences among Healthcare University Students.

Claudia Isonne, Maria Roberta De Blasiis, Federica Turatto, Elena Mazzalai, Carolina Marzuillo, Corrado De Vito, Paolo Villari, Valentina Baccolini

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Claudia IsonneDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-1002-9133
Maria Roberta De BlasiisDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Federica TurattoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-7654-0837
Elena MazzalaiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Carolina MarzuilloDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7299-5727
Corrado De VitoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Paolo VillariDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Valentina BaccoliniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7873-7817
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adoption of digital contact-tracing apps to limit the spread of SARS-CoV-2 has been sup-optimal, but studies that clearly identify factors associated with the app uptake are still limited. In April 2021, we administered a questionnaire to healthcare university students to investigate their attitudes towards and experiences of the IMMUNI app. A multivariable logistic regression model was built to identify app download predictors. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated. We surveyed 247 students. Most respondents (65.6%) had not downloaded IMMUNI, reporting as the main reason the perceived app uselessness (32.7%). In the multivariable analysis, being advised to use the app (aOR: 3.21, 95%CI: 1.80-5.73), greater fear of infecting others (aOR: 1.50, 95%CI: 1.01-2.23), and greater trust in the institutional response to the emergency (aOR: 1.33, 95%CI: 1.00-1.76) were positively associated with the outcome, whereas greater belief in the "lab-leak theory" of COVID-19 was a negative predictor (aOR: 0.75, 95%CI: 0.60-0.93). Major technical issues were reported by app users. Targeted strategies aimed at improving awareness of digital health applications should be devised. Furthermore, institutions should invest in the development of these technologies, to minimize technical issues and make them accessible to the entire population.

Indexed as

COVID-19digital contact tracingIMMUNI appstudents

Identifiers

PMID35743902
PMCPMC9225335
OpenAlexW4281696835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.