Literature DB >> 33974551

Factors Influencing the Adoption of Contact Tracing Applications: Protocol for a Systematic Review.

Kiemute Oyibo1, Kirti Sundar Sahu1, Arlene Oetomo1, Plinio Pelegrini Morita1,2,3,4.   

Abstract

BACKGROUND: Following the onset of the COVID-19 pandemic, digital contact tracing apps have become prevalent worldwide in a coordinated effort to curb the spread of COVID-19. However, their uptake has been low and slow due to privacy concerns, the lack of trust and motivational affordances, and their minimalist design.
OBJECTIVE: The objective of this article is to present a protocol for a systematic review of the main factors, including facilitators and barriers, that influence the adoption of contact tracing apps.
METHODS: We searched seven databases, namely, Scopus, CINAHL, PubMed (MEDLINE), IEEE Xplore Digital Library, Association for Computing Machinery (ACM) Digital Library, Web of Science, and Google Scholar, for relevant publications between October 30, 2020, and January 31, 2021. Three authors were involved in removing duplicates, screening, and selection of relevant articles according to the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-analysis Protocols) guidelines.
RESULTS: Altogether, we retrieved 777 articles from the seven databases. As of May 14, 2021, we have completed the screening process and arrived at 13 eligible articles to be included in the systematic review. We hope to elicit, summarize, and report the main findings in the systematic review article by the end of August 2021. We expect to uncover facilitators and barriers related to app utility, data security, ease of use, and persuasive design that are deemed important to adoption of contact tracing apps.
CONCLUSIONS: The findings of the systematic review will help researchers to uncover the gaps in the adoption of contact tracing apps, and decision makers and designers to focus on the principal adoption factors necessary to create better and more effective contact tracing apps. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/28961. ©Kiemute Oyibo, Kirti Sundar Sahu, Arlene Oetomo, Plinio Pelegrini Morita. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 01.06.2021.

Entities:  

Keywords:  COVID-19; adoption; barrier; challenge; contact tracing app; effective; perception; review; technology acceptance; usability; user perception

Year:  2021        PMID: 33974551     DOI: 10.2196/28961

Source DB:  PubMed          Journal:  JMIR Res Protoc        ISSN: 1929-0748


  6 in total

1.  Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations.

Authors:  Kiemute Oyibo; Kirti Sundar Sahu; Arlene Oetomo; Plinio Pelegrini Morita
Journal:  Front Digit Health       Date:  2022-05-03

2.  Types of Errors Hiding in Google Scholar Data.

Authors:  Romy Sauvayre
Journal:  J Med Internet Res       Date:  2022-05-27       Impact factor: 7.076

3.  Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing "MorChana" in Thailand.

Authors:  Ardvin Kester S Ong; Yogi Tri Prasetyo; Nattakit Yuduang; Reny Nadlifatin; Satria Fadil Persada; Kirstien Paola E Robas; Thanatorn Chuenyindee; Thapanat Buaphiban
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

4.  User perceptions about sharing exposure notification information for communicable diseases.

Authors:  Benjamin Schooley; Sue S Feldman
Journal:  Front Digit Health       Date:  2022-07-28

5.  The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert.

Authors:  Kiemute Oyibo; Plinio Pelegrini Morita
Journal:  JMIR Form Res       Date:  2022-09-06

6.  Digital Contact Tracing and COVID-19: Design, Deployment, and Current Use in Italy.

Authors:  Noemi Scrivano; Rosario Alfio Gulino; Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2021-12-30
  6 in total

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