Engagement with Health Care Providers Affects Self- Efficacy, Self-Esteem, Medication Adherence and Quality of Life in People Living with HIV
Bibliographic record
Abstract
The engagement of patients with their health care providers (HCP) improves patients' quality of life (QOL), adherence to antiretroviral therapy, and life satisfaction. Engagement with HCP includes access to HCP as needed, information sharing, involvement of client in decision making and self-care activities, respect and support of the HCP for the client's choices, and management of client concerns. This study compares country-level differences in patients' engagement with HCP and assesses statistical associations relative to adherence rates, self-efficacy, self-esteem, QOL, and symptom self-reporting by people living with HIV (PLHIV). A convenience sample of 2,182 PLHIV was enrolled in the United States, Canada, Puerto Rico, Namibia, and China. Cross-sectional data were collected between September 2009 and January 2011. Inclusion criteria were being at least 18 years of age, diagnosed with HIV, able to provide informed consent, and able to communicate in the local language with site researchers. In the HCP scale, a low score indicated greater provider engagement. Country comparisons showed that PLHIV in Namibia had the most HCP engagement (OR 2.80, p < 0.001) and that PLHIV in China had the least engagement (OR -7.03, p < 0.0001) compared to the PLHIV in the Western countries. Individuals having better HCP engagement showed better self-efficacy for adherence (t = -5.22, p < 0.0001), missed fewer medication doses (t = 1.92, p ≤ 0.05), had lower self-esteem ratings (t = 2.67, p < 0.01), fewer self-reported symptoms (t = 3.25, p < 0.0001), and better overall QOL physical condition (t = -3.39, p < 0.001). This study suggests that promoting engagement with the HCP is necessary to facilitate skills that help PLHIV manage their HIV. To improve ART adherence, HCPs should work on strategies to enhance self-efficacy and self-esteem, therefore, exhibiting fewer HIV-related symptoms and missing less medication doses to achieve better QOL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".