Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature

S Sujarwoto, Asri Maharani

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Despite the enormous potential of mobile health (mHealth) apps for COVID-19 contact tracing, the adoption rate in most countries remains low. Thus, the objective of the current study is to identify facilitators and barriers of mHealth apps adoption for COVID-19 contact tracing based on existing studies.

Methods: We conducted a systematic review of mHealth studies before December 2021 that evaluate facilitators and barriers associated with the adoption of mHealth apps for COVID-19 contact tracing. We assessed the risk of bias for all included studies using the Cochrane tool. We based our narrative synthesis on the facilitators-barriers to the adoption of mHealth framework comprising seven key factors.

Results: A total of 27 articles were reviewed from 16 countries representing high income countries (France, German, Italy, United Kingdom, United States, Australia, Singapore, Belgium, Republic Ireland, Netherland, Poland, and Japan), middle-income countries (Fiji), and low-middle income countries (India). We identified the main facilitators of mHealth adoption: perceived risks to COVID-19, trust, perceived benefit, social norm, and technology readiness. The main barriers of mHealth adoption were data privacy/security concerns. Among sociodemographic factors, females, lower education, lower-income, and older individual are barriers to adoption in low-middle income countries, while most of those factors were not significantly associated with adoption in a high-income country.

Conclusion: The findings imply that resolving data privacy/security issues while developing trust, perceived benefits, social norms, and technology preparedness could be effective strategies for increasing adoption intentions and app use among the general public. In low-middle-income countries, addressing digital divide is critical to the app’s adoption.
Original languageEnglish
Article number1222600
JournalFrontiers in Public Health
Volume11
DOIs
Publication statusPublished - 7 Dec 2023

Keywords

  • COVID-19 contact tracing
  • barriers
  • facilitators
  • mHealth apps adoption
  • systematic review
  • Contact Tracing
  • Privacy
  • COVID-19/epidemiology
  • Mobile Applications
  • Telemedicine
  • United States
  • Humans

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