Evidence map›Paper›PMID 34613522›Full record

ArticleAIDS and behavior2022

HIV Service Interruptions During the COVID-19 Pandemic in China: The Role of COVID-19 Challenges and Institutional Response from Healthcare Professional's Perspective.

Xueying Yang, Chengbo Zeng, Cheuk Chi Tam, Shan Qiao, Xiaoming Li, Zhiyong Shen, Yuejiao Zhou

Abstract read
In one paragraph

Article in AIDS and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Xueying Yang *South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. XUEYYANG@mailbox.sc.edu.ORCID http://orcid.org/0000-0001-6788-0688
Chengbo Zeng *South Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Cheuk Chi TamSouth Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Shan QiaoSouth Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Xiaoming LiSouth Carolina SmartState Center for Healthcare Quality, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Zhiyong ShenGuangxi Center for Disease Prevention and Control, Nanning, Guangxi, China. shenzhiyong99999@sina.com.
Yuejiao ZhouGuangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.

Funding

HIV-related Stigma and HIV Clinical Outcomes: Linkage and MechanismsR01MH112376 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING · 2017 to 2021
$1.1M
National Natural Science Foundation of China 81761128004NIMH NIH HHS R01MH0112376NIMH NIH HHS R01 MH112376
6 · The paper itself

Abstract

During the COVID-19 pandemic, HIV-related services have been unavoidably disrupted and impacted. However, the nature and scope of HIV service disruptions due to COVID-19 has rarely been characterized in China. A cross-sectional online survey was conducted among 1029 HIV healthcare providers in Guangxi, China, from April to May 2020. Latent class analysis (LCA) was first used to identify HIV service disruption levels, then hierarchical multilevel logistic regression was conducted to analyze the relationships of COVID-19 challenges, institutional responses, and HIV service disruption levels adjusting for the clustering effect of institutional ownership levels. Four classes of HIV service disruption were identified, with 22.0% complete disruption, 15.4% moderate disruption, 21.9% minor disruption, and 40.7% almost no disruption. COVID-19 challenges were positively associated with the probabilities of service disruption levels. Institutional responses were negatively associated with the probabilities of being classified as "minor disruption" and moderated the association of COVID-19 challenges with complete and moderate disruptions compared with no disruption group. To maintain continuity of core HIV services in face of a pandemic, building a resilient health care system with adequate preparedness is necessary.

Indexed as

COVID-19HIV InfectionsChinaCross-Sectional StudiesDelivery of Health CareHumansPandemicsSARS-CoV-2ChinaCOVID-19COVID-19 challengesHIV service disruptionsInstitutional responses

Identifiers

PMID34613522
PMCPMC8493360

What OpenQuestion holds

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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.