Evidence map›Paper›PMID 39430058›Full record

ArticleAdvances in public health2022

Factors Associated with Linkage to Care following Community-Level Identification of HIV-Positive Clients in Lira District.

Claire Adwar, Steven Sean Puleh, Isaac Ochaba, Isaac Ogweng, Deo Benyumiza, Kosta Amusu, Brenda Achola, Francis Ocen, Lydia Abolo, Edward Kumakech and 1 more

Abstract read
In one paragraph

Article in Advances in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Claire AdwarLira University, Faculty of Health Sciences, Department of Public Health, Lira, Uganda.
Steven Sean PulehLira University, Faculty of Health Sciences, Department of Public Health, Lira, Uganda.ORCID 0000-0003-3940-0602
Isaac OchabaLira University, Faculty of Health Sciences, Department of Public Health, Lira, Uganda.
Isaac OgwengLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Deo BenyumizaLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Kosta AmusuLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Brenda AcholaLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Francis OcenLira University, Faculty of Health Sciences, Department of Public Health, Lira, Uganda.
Lydia AboloLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Edward KumakechLira University, Faculty of Health Sciences, Department of Midwifery, Lira, Uganda.
Celestino ObuaMbarara University of Science and Technology, Mbarara, Uganda.

Funding

Health-professional Education Partnership Initiative - Transforming Ugandan Institutions Training Against HIV/AIDS (HEPI-TUITAH)R25TW011210 · FIC · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI OBUA, CELESTINO · 2018 to 2022
$3.3M
FIC NIH HHS R25 TW011210
6 · The paper itself

Abstract

Background: Community HIV testing helps to increase access to high-risk groups who are less likely to visit a clinic for a test. A large proportion of people identified with HIV following community-based testing are not easily linked to care compared to facility-based identified cases. There is a paucity of literature on linkage to HIV care and its predictors particularly following community-based testing in a rural setting. We assessed the level of linkage to the care of HIV-positive individuals and associated factors following community-level identification in Lira district. Method: A cross-sectional survey was conducted in Lira district employing mixed methods among HIV-positive adults identified in the communities. Quantitative data were collected from 329 randomly selected study participants using interviewer-administered questionnaires. Key informant interview guide was used to collect qualitative data. The data were double entered, cleaned, and analyzed using SPSS version 23. Odds ratios and confidence intervals were used to assess the association between predictors of linkage with HIV care. Qualitative data were analyzed using thematic content analysis. Results: The respondents were aged between 18 and 85 years with a mean age of 42.9 (SD = 11.6). The level of linkage to HIV care following community-level identification of HIV testing in Lira district was 98% (95% CI 96.07-99.33). Clients who self-initiated the HIV testing were more likely to link to HIV care than their counterparts (AOR = 9.03; 95% CI 1.271-64.218, Conclusion/Recommendation: The level of linkage to HIV care following community identification was found to be excellent (98%). Predictors to linkage to care included self-initiated testing, positive perception of distance, and waiting time at health facilities. We recommend health education, counseling, follow-up, and family support as interventions to strengthen successfully linking to care.

Identifiers

PMID39430058
PMCPMC11487296

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.