E-health. Patterns of use and perceived benefits and barriers among people living with HIV and their physicians. Part 2: Health apps and smart devices

Med Mal Infect. 2020 Oct;50(7):582-589. doi: 10.1016/j.medmal.2020.04.005. Epub 2020 Apr 14.

Abstract

Objectives: To evaluate patterns of use and perceived benefits and barriers to health/wellness applications (apps) and smart devices among people living with HIV (PLHIV) and their physicians.

Methods: Online multicenter observational survey (October 15-19, 2018).

Results: Study participation was accepted by 229 physicians and 838/1377 PLHIV followed in 46 centers, of which 325 (39%) responded online. Overall, 83/288 (29%) PLHIV had already downloaded at least one app: these 'downloaders' were younger (OR0.96±0.01, P=0.004), educated to at least university entry level (OR2.27±0.86, P=0.03), and more frequently used geolocation-based dating websites (OR3.00±1.09, P=0.002). However, 227/314 (72%) PLHIV claimed they were ready to use an app recommended by a physician. For the 60/83 PLHIV who answered, the ideal app would be a vaccination tracker (76%) to better communicate with their physician (68%). However, 96/277 (42%) physicians were unable to answer this question and for 94/227 (41%) of them, the ideal patient app would be for schedule management. Although PLHIV used smart devices, 231/306 (75%) would want to report the data to their physicians and 137/225 (61%) of physicians would welcome this exchange. The main physician-side barrier to this exchange was concerns over data security.

Conclusion: mHealth apps and smart devices have failed to garner adoption by PLHIV. There is a case for good-quality health data sharing and exchange if PLHIV are provided with appropriately secure tools and physicians are backed up by adapted legislation.

Keywords: HIV; Mobile applications; e-health.

Publication types

  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Attitude of Health Personnel*
  • Attitude to Health*
  • Facilities and Services Utilization / statistics & numerical data*
  • Female
  • HIV Infections*
  • Humans
  • Male
  • Middle Aged
  • Mobile Applications*
  • Physicians*
  • Smartphone*
  • Telemedicine / statistics & numerical data*