Literature DB >> 33604836

Sentiment analysis of user feedback on the HSE's Covid-19 contact tracing app.

Kaavya Rekanar1,2, Ian R O'Keeffe3, Sarah Buckley4, Manzar Abbas3, Sarah Beecham3,5, Muslim Chochlov3, Brian Fitzgerald3, Liam Glynn6,7, Kevin Johnson8, John Laffey9, Bairbre McNicholas9, Bashar Nuseibeh3, James O'Connell3, Derek O'Keeffe9, Mike O'Callaghan6, Abdul Razzaq3, Ita Richardson3, Andrew Simpkin10, Cristiano Storni3, Damyanka Tsvyatkova3, Jane Walsh11, Thomas Welsh3, Jim Buckley12,13.   

Abstract

BACKGROUND: Digital Contact Tracing is seen as a key tool in reducing the propagation of Covid-19. But it requires high uptake and continued participation across the population to be effective. To achieve sufficient uptake/participation, health authorities should address, and thus be aware of, user concerns. AIM: This work manually analyzes user reviews of the Irish Heath Service Executive's (HSE) Contact Tracker app, to identify user concerns and to lay the foundations for subsequent, large-scale, automated analyses of reviews. While this might seem tightly scoped to the Irish context, the HSE app provides the basis for apps in many jurisdictions in the USA and Europe.
METHODS: Manual analysis of (1287) user reviews from the Google/Apple playstores was performed, to identify the aspects of the app that users focused on, and the positive/negative sentiment expressed.
RESULTS: The findings suggest a largely positive sentiment towards the app, and that users thought it handled data protection and transparency aspects well. But feedback suggests that users would appreciate more targeted feedback on the incidence of the virus, and facilities for more proactive engagement, like notifications that prompt users to submit their health status daily. Finally, the analysis suggests that the "android battery" issue and the backward-compatibility issue with iPhones seriously impacted retention/uptake of the app respectively.
CONCLUSION: The HSE have responded to the public's desire for targeted feedback in newer versions, but should consider increasing the app's proactive engagement. The results suggest they should also raise the backward compatibility issue, regarding older iPhones, with Apple.
© 2021. The Author(s).

Entities:  

Keywords:  COVID-19; Contact tracing; Coronavirus; Public opinion; Sentiment analysis; mHealth

Mesh:

Year:  2021        PMID: 33604836      PMCID: PMC7891483          DOI: 10.1007/s11845-021-02529-y

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   1.568


  7 in total

1.  Considerations in the choice of interobserver reliability estimates.

Authors:  D P Hartmann
Journal:  J Appl Behav Anal       Date:  1977

2.  Digital health and the COVID-19 epidemic: an assessment framework for apps from an epidemiological and legal perspective.

Authors:  Kerstin Noelle Vokinger; Vasileios Nittas; Claudia M Witt; Sara Irina Fabrikant; Viktor von Wyl
Journal:  Swiss Med Wkly       Date:  2020-05-17       Impact factor: 2.193

3.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

4.  A hybrid model for automatic emotion recognition in suicide notes.

Authors:  Hui Yang; Alistair Willis; Anne de Roeck; Bashar Nuseibeh
Journal:  Biomed Inform Insights       Date:  2012-01-30

5.  The Mobile Health App Trustworthiness Checklist: Usability Assessment.

Authors:  Afua van Haasteren; Effy Vayena; John Powell
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-21       Impact factor: 4.773

6.  A national survey of attitudes to COVID-19 digital contact tracing in the Republic of Ireland.

Authors:  Michael Edmund O'Callaghan; Jim Buckley; Brian Fitzgerald; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Derek O'Keeffe; Ian O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; Jaynal Abedin; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Liam Glynn
Journal:  Ir J Med Sci       Date:  2020-10-16       Impact factor: 1.568

7.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

Authors:  Luca Ferretti; Chris Wymant; David Bonsall; Christophe Fraser; Michelle Kendall; Lele Zhao; Anel Nurtay; Lucie Abeler-Dörner; Michael Parker
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

  7 in total
  6 in total

Review 1.  Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.

Authors:  James O'Connell; Manzar Abbas; Sarah Beecham; Jim Buckley; Muslim Chochlov; Brian Fitzgerald; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Michael O'Callaghan; Ian O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Derek O'Keeffe
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-07       Impact factor: 4.773

2.  Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining.

Authors:  Zhilian Huang; Evonne Tay; Dillon Wee; Huiling Guo; Hannah Yee-Fen Lim; Angela Chow
Journal:  JMIR Form Res       Date:  2022-03-04

3.  Characteristics and determinants of population acceptance of COVID-19 digital contact tracing: a systematic review.

Authors:  Leonardo Pegollo; Elena Maggioni; Maddalena Gaeta; Anna Odone
Journal:  Acta Biomed       Date:  2021-12-10

Review 4.  Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework.

Authors:  Damyanka Tsvyatkova; Jim Buckley; Sarah Beecham; Muslim Chochlov; Ian R O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Thomas Welsh; Cristiano Storni
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-11       Impact factor: 4.947

5.  Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing.

Authors:  Kashif Ahmad; Firoj Alam; Junaid Qadir; Basheer Qolomany; Imran Khan; Talhat Khan; Muhammad Suleman; Naina Said; Syed Zohaib Hassan; Asma Gul; Mowafa Househ; Ala Al-Fuqaha
Journal:  JMIR Form Res       Date:  2022-05-11

6.  Public opinion of the Irish "COVID Tracker" digital contact tracing App: A national survey.

Authors:  Michael E O'Callaghan; Manzar Abbas; Jim Buckley; Brian Fitzgerald; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Derek O'Keeffe; Sarah Beecham; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; James O'Connell; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Liam G Glynn
Journal:  Digit Health       Date:  2022-03-16
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.