mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study
2024

mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders

Sample size: 208 publication 10 minutes Evidence: moderate

Author Information

Author(s): Mavragani Amaryllis, Davy-Mendez Thibaut, Wu Qiwei, Mi Ranran Z, Yang Ellie Fan, Tahk Alexander, Tarfa Adati, Cotter Lynne M, Lu Linqi, Yang Sijia, Gustafson Sr David H, Westergaard Ryan, Shah Dhavan

Primary Institution: University of Wisconsin-Madison

Hypothesis

The initiation and intensity of message exchange, including reception and expression, at the 3 communication levels will predict ART medication adherence.

Conclusion

The study highlights the importance of the intensity of system engagement over initiation for promoting medication adherence in people with HIV and substance use disorders.

Supporting Evidence

  • Intensity of dyadic message expression and reception positively predicted medication adherence.
  • Black participants exhibited distinct usage patterns, suggesting tailored mHealth interventions are needed.
  • Greater intensity of message reception was associated with worsened medication adherence.

Takeaway

Using a mobile health app can help people with HIV remember to take their medicine, especially if they talk to others through the app.

Methodology

Participants used a mobile health app that collected data on their engagement and medication adherence through weekly surveys and system logs.

Potential Biases

Participants willing to engage may have had greater motivation to maintain medication adherence, potentially biasing results.

Limitations

The study did not consider the content of messages and had a relatively small sample size, which may limit generalizability.

Participant Demographics

Mean age of 46 years, 77.46% male, 64.16% Black, with 42.2% having some college education.

Statistical Information

P-Value

p<0.05

Confidence Interval

95% CI 0.01-0.07

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.2196/57774

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