Evidence map›Paper›PMID 37861922›Full record

ArticleAIDS and behavior2024

Intersecting Epidemics: The Predictors of Continued Utilization of HIV Care and Treatment Services During the COVID-19 Outbreak Among People Living with HIV in ZIMBABWE.

Talent Tapera, Clifford Odimegwu, Tatenda Makoni, Waraidzo Mukuwapasi, Vivian Chitiyo, Gilton Kadziyanike, Nicola Willis, Abigail Mutsinze, Mather Mawodzeke, Pugie Chimberengwa and 1 more

Abstract read
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Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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.

Talent TaperaDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa. talent.tapera@gmail.com.ORCID http://orcid.org/0000-0002-8894-0683
Clifford OdimegwuDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Tatenda MakoniZimbabwe National Network of People Living With HIV (ZNNP+), Harare, Zimbabwe.
Waraidzo MukuwapasiZimbabwe National Network of People Living With HIV (ZNNP+), Harare, Zimbabwe.
Vivian ChitiyoZvandiri, Harare, Zimbabwe.
Gilton KadziyanikeZimbabwe National Network of People Living With HIV (ZNNP+), Harare, Zimbabwe.
Nicola WillisZvandiri, Harare, Zimbabwe.
Abigail MutsinzeZvandiri, Harare, Zimbabwe.
Mather MawodzekeZvandiri, Harare, Zimbabwe.
Pugie ChimberengwaOrganisation for Public Health Interventions and Development (OPHID), Harare, Zimbabwe.
Million PhiriDemography and Population Studies Programme, Schools of Public Health and Social Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, there have been considerable achievements towards HIV care and treatment. AIDS-related deaths have been reduced by 60% since the peak in 2004. Potentially, the fight against the HIV epidemic was made more difficult with the outbreak of COVID-19. Thus, this study examined the implications of COVID-19 in the utilization of HIV care and treatment services among people living with HIV on antiretroviral therapy (ART) in Zimbabwe. The study aimed to identify the critical factors defining the utilization of HIV services at the advent of COVID-19 using the fifth revision of the Anderson Behavioral Model of Healthcare Utilization. The study utilized a concurrent triangulation design of which only one data collection phase was used. The quantitative data was collected from 2,157 people living with HIV on antiretroviral viral therapy through a structured interviewer-administered questionnaire. On the other hand, qualitative data was collected through in-depth interviews. Regarding accessing ART refills, the study findings revealed that adolescents aged 15-19 (aOR = 2.16; 95% CI: 1.18-3.96) had higher odds of utilizing ART refills compared to their counterparts who were aged 20-24. Living in a rural area was associated with higher odds of utilizing the ART refill service (aOR = 2.20; 95% CI: 1.49-3.24). Regarding accessing viral load monitoring adults aged 25-39 (aOR = 0.41; 95% CI: 0.26-0.66) were less likely to utilize viral load monitoring compared to young people aged 20-24. Being vaccinated for COVID-19 was significantly associated with higher odds of utilizing the viral load monitoring service (aOR = 1.97; 95% CI: 1.36-2.87) than those not yet vaccinated. Living in a rural area was associated with higher odds of utilizing viral load monitoring (aOR = 1.50; 95% CI: 1.09-2.08). Regarding tuberculosis preventative therapy, adults aged 25-39 (aOR = 0.30; 95% CI: 0.20-0.47) were less likely to utilize tuberculosis preventative therapy compared to young people aged 20-24. Being vaccinated for COVID-19 was significantly associated with higher odds of utilizing tuberculosis preventative therapy (aOR = 1.59; 95% CI: 1.12-2.25) than those not yet vaccinated. Living in a rural area was associated with higher odds of utilizing tuberculosis preventive therapy (aOR = 1.58; 95% CI: 1.19-2.08). Regarding tuberculosis screening being vaccinated for COVID-19 was significantly associated with higher odds of utilizing tuberculosis screening services (aOR = 1.89; 95% CI: 1.41-2.54) than those not yet vaccinated. Although the severity of the COVID-19 pandemic has dwindled, COVID-19 appears to come and go in waves, and a few countries are still recording relatively high cases. It is therefore likely that the factors associated with utilization of HIV services identified by the study such as age, residence, type of health facility, vaccination of COVID-19 and fear of contracting COVID-19, among others, need to be included when planning to improve access to health utilization.

Indexed as

COVID-19HIV InfectionsPatient Acceptance of Health CareSARS-CoV-2AdolescentAdultAnti-HIV AgentsCross-Sectional StudiesEpidemicsFemaleHumansMaleMiddle AgedRural PopulationSurveys and QuestionnairesYoung AdultAnti-HIV AgentsCOVID-19HIVPublic healthZimbabwe

Identifiers

PMID37861922
PMCPMC11469966

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.