Enhancing self‐care, adjustment and engagement through mobile phones in youth with HIV.
Bibliographic record
Abstract
AIM: To evaluate the effectiveness of mobile phones in enhancing self-care, adjustment and engagement in non-disclosed youth living with HIV. BACKGROUND: Youth aged 15-24 years represent 42% of new HIV infections globally. Youth who are aware of their HIV status generally do not disclose it or utilize HIV-related facilities because of fear of stigma. They rely on the Internet for health maintenance information and access formal care only when immune-compromised and in crisis. INTRODUCTION: This study shows how non-disclosed youth living with HIV can be reached and engaged for self-management and adjustment through mobile phone. STUDY DESIGN: One-group pre-test/post-test experimental design was used. METHODS: Mobile phones were used to give information, motivation and counselling to 19 purposively recruited non-disclosed youth with HIV in Calabar, South-South Nigeria. Psychological adjustment scale, modified self-care capacity scale and patient activation measure were used to collect data. Data were analysed using PASW 18.0. RESULTS: Scores on self-care capacity, psychological adjustment and engagement increased significantly at post-test. HIV-related visits to health facilities did not improve significantly even at 6 months. Participants still preferred to consult healthcare providers for counselling through mobile phone. DISCUSSION: Mobile phone-based interventions are low cost, convenient, ensure privacy and are suitable for youth. Such remote health counselling enhances self-management and positive living. CONCLUSION AND IMPLICATIONS FOR HEALTH POLICY: Mobile phones enhance self-care, psychological adjustment and engagement in non-disclosed youth living with HIV, and can be used to increase care coverage. Findings underline the importance of policies to increase access by locating, counselling and engaging HIV-infected youth in care.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".