Using an Electronic Medication Event–Monitoring System for Antiretroviral Therapy Self-Management Among African American Women Living With HIV in Rural Florida: Cohort Study
Bibliographic record
Abstract
BACKGROUND: HIV remains a significant health issue in the United States and disproportionately affects African Americans. African American women living with HIV (AAWH) experience a particularly high number of barriers when attempting to manage their HIV care, including antiretroviral therapy (ART) adherence. To enable the development and assessment of effective interventions that address these barriers to support ART adherence, there is a critical need to understand more fully the use of objective measures of ART adherence among AAWH, including electronic medication dispensers for real-time surveillance. OBJECTIVE: This study aimed to evaluate the use of the Wisepill medication event-monitoring system (MEMS) and compare the objective and subjective measures of ART adherence. METHODS: We conducted a 30-day exploratory pilot study of the MEMS among a convenience sample of community-dwelling AAWH (N=14) in rural Florida. AAWH were trained on the use of the MEMS to determine the feasibility of collecting, capturing, and manipulating the MEMS data for an objective measure of ART adherence. Self-reported sociodemographic information, including a self-reported measure of ART adherence, was also collected from AAWH. RESULTS: We found that the majority of participants were successful at using the electronic MEMS. Daily use of the MEMS tended to be outside of the usual time participants took their medication. Three 30-day medication event patterns were found that characterized ART adherence, specifically uniform and nonuniform medication adherence and nonuniform medication nonadherence. There were relatively few MEMS disruptions among study participants. Overall, adjusted daily ART adherence was 81.08% and subjective ART adherence was 77.78%. CONCLUSIONS: This pilot study on the use and evaluation of the Wisepill MEMS among AAWH in rural Florida is the first such study in the United States. The findings of this study are encouraging because 10 out of 12 participants consistently used the MEMS, there were relatively few failures, and objective adjusted daily and overall subjective ART adherence were very similar. On the basis of these findings, we think researchers should consider using the Wisepill MEMS in future studies of AAWH and people living with HIV in the United States after taking into account our practical suggestions. The following practical considerations are suggested when measuring objective medication adherence: (1) before using an MEMS, be familiar with the targeted populations' characteristics; (2) choose an MEMS that aligns with the participants' day-to-day activities; (3) ensure the MEMS' features and resulting data support the research goals; (4) assess the match among the user's ability, wireless features of the MEMS, and the geographic location of the participants; and (5) consider the cost of MEMS and the research budget.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".