Related Experiment Video
Updated: Jun 25, 2026

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
Published on: November 8, 2013
Patterns and predictors of adherence to diaphragm use in a phase III trial in sub-Saharan Africa: a trajectory
Ariane van der Straten1, Stephen Shiboski, Elizabeth T Montgomery
1RTI international, Women's Global Health Imperative, San Francisco, CA, USA. ariane@rti.org
Background:
We examined diaphragm adherence among 2429 women randomized to the intervention arm (diaphragm + gel + condoms) in Methods for Improving Reproductive Health in Africa, a phase III trial of the diaphragm for HIV prevention in Zimbabwe and South Africa.
Methods:
Women were followed for a median of 7 quarterly visits (range: 1-8 quarterly visits) during which diaphragm adherence was assessed. We conducted trajectory analyses to identify behavioral groups associated with specific diaphragm adherence patterns. Multivariate multinomial logistic regression was used to identify baseline characteristics associated with higher probability of being in a particular trajectory group.
Results:
Diaphragm uptake was very high (3.1% never used diaphragms). However, diaphragm adherence was reported at only 49% of visits. Women were clustered into 4 diaphragm adherence groups based on their highest estimated group membership probability: low adherers (31.0%), decreasing adherers (28.9%), increasing adherers (9.3%), and high adherers (30.8%). Women classified as high adherers (as compared with low adherers) were more likely to be older [adjusted odds ratio (AOR) = 1.09, 95% confidence interval (CI): 1.07 to 1.11] and to report baseline condom adherence (AOR = 2.00, 95% CI: 1.47 to 2.71). They were less likely to have high-risk behavior (AOR = 0.51; 95% CI: 0.37 to 0.71) and to have high-risk partners (AOR = 0.58; 95% CI: 0.43 to 0.78). They were most likely to be from the Zimbabwe site (AOR = 2.82; 95% CI: 1.89 to 4.20) and least likely to be from the Johannesburg site (AOR = 0.51; 95% CI: 0.37 to 0.77).
Conclusion:
This analytic approach could help to identify high compliers for enrollment in future HIV prevention trials or the types of participants who may need intensive adherence counseling during follow-up.
