Evidence map›Paper›PMID 36104550›Full record

ArticleInternational journal of behavioral medicine2023

Adherence to Antiretroviral Therapy and Its Predictive Factors Among People Living with HIV in China: A Behavioral Theory-Based Prospective Cohort Study.

Qiangsheng He, Chun Hao, Deng Pan, Cong Liu, Kai Zhou, Jinghua Li, Haidan Zhong, Peishan Du, Quanmin Li, Joseph T F Lau and 4 more

Abstract read
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In one paragraph

Article in International journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
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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

14 authors.

Qiangsheng He *Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Chun Hao *Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China.
Deng PanDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China.
Cong LiuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Kai ZhouDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China.
Jinghua LiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China.
Haidan ZhongDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Peishan DuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Quanmin LiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Joseph T F LauSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Yuantao HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China.
Linghua LiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China. llheliza@126.com.
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan Road II, Guangzhou, China. gujing5@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5436-2339
Weiping CaiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

Chinese 13th Five-Year National Science and Technology Major Project 2018ZX10302103-002, 2017ZX10202101-003Major Project of Health Care Collaborative Innovation of Guangzhou Science and Technology Innovation Commission 201803040002National Natural Science Foundation of China (CN) 71774178National Science and Technology Major Project of the Ministry of Science and Technology of China 2018ZX10715004Science and Technology Planning Project of Guangdong Province (CN) 2017A020212006
6 · The paper itself

Abstract

backgroundFree antiretroviral therapy (ART) has been expanded to all people living with HIV (PLWH) in China since 2016, and adherence to ART has been shown to be the primary determinant of viral suppression. This study aimed to investigate the ART adherence and its associated factors among PLWH in China in the context of a scaling-up of treatment policy.

methodA prospective cohort study was conducted from June 2016 to May 2018 in Guangzhou, China. A total of 400 eligible participants were recruited from the Guangzhou Eighth People's hospital in Guangzhou, China. The Theory of Planned Behavior and the Behavioral Maintenance Theory were applied to guide the questionnaire design. Participants were invited to completed self-administered questionnaire at baseline and months 3 and 6 post-baseline. Logistic regression models were fitted to explore factors associated with ART adherence.

resultsOf the 400 participants, the prevalence of optimal ART adherence was 83.6% at month 3 and 83.3% at month 6. The baseline attitude (OR

conclusionApproximately 15% of participants reported suboptimal ART adherence. The developments of tailored interventions that target factors such as outcome expectations at baseline and negative experiences during treatment are warranted.

Indexed as

Anti-HIV AgentsHIV InfectionsChinaHumansMedication AdherenceProspective StudiesSurveys and QuestionnairesAnti-HIV AgentsAdherenceAntiretroviral therapyBehavioral theoryChinaCohort study

Identifiers

PMID36104550

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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.