Repercussions of the COVID-19 pandemic on the HIV care continuum and related factors in economically disadvantaged nations: an integrated analysis using mixed-methods systematic review
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic affected the self-management and care of people living with HIV, requiring adaptations in the way health services are provided. However, it is unclear how these changes impacted HIV care in low-income countries. METHODS: A systematic review including the current evidence related to changes in HIV care continuum during COVID-19 was conducted through a systematic search in the online databases including CINAHL, OVID-Medline, CAB Direct, and OVID-Embase. A two-step screening process was carried out to include eligible papers and reports according to inclusion criteria. RESULTS: From the searches we identified 21 total studies published between 2021 and 2024, the studies revealed mostly negative impacts on all stages of the HIV care continuum in low-income countries. There were impacts related to the blocking measures due to COVID-19, fear of contracting the disease, difficulties in providing resources such as income, food and transports, reductions in the provision of care from prevention to viral suppression. CONCLUSION: Overall, researchers identified several negative impacts of COVID-19 restrictions on HIV care continuum during pandemic; however, some observations indicated indirect positive impacts on some aspects of HIV care. Decline in HIV care practices during pandemic compared to before pandemic were observed including using preventative methods, counseling and testing, receiving HIV healthcare services, HIV medical appointments, antiretroviral adherence, engagement with treatment, and poor viral suppression. However, in some evidence improvement in ART adherence and PrEP use were observed.
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 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 | 0.050 | 0.145 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".