Evidence map›Paper›PMID 38970140›Full record

SynthesisInfectious diseases of poverty2024

Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review.

Rujun Liao, Zihuan Tang, Na Zhang, Lin Hu, Zongqi Chang, Jiayi Ren, Xuefei Bai, Jinhong Shi, Sisi Fan, Rong Pei and 2 more

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in Infectious diseases of poverty, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Review
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  13. [ART adherence and its association with depression, anxiety and stress].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
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

12 authors.

Rujun Liao *Center of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Zihuan Tang *Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Na ZhangCenter of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Lin HuDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Zongqi ChangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Jiayi RenDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China.
Xuefei BaiSichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China.
Jinhong ShiSichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China.
Sisi FanSichuan Center for Disease Control and Prevention, Chengdu, 610041, Sichuan, People's Republic of China.
Rong PeiSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, Sichuan, People's Republic of China.
Liang DuCenter of Infectious Diseases, Research Center of Clinical Epidemiology and Evidence-Based Medicine, Innovation Insititute for Integration of Medicine and Engineering, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China. duliang0606@vip.sina.com.
Tao ZhangDepartment of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China. scdxzhangtao@163.com.ORCID http://orcid.org/0000-0001-7535-1161

Funding

HIV and Drug Abuse Prevention Research Ethics Training Institute, Fordham University 23ZDYF0112Innovative Research Group Project of the National Natural Science Foundation of China 72074161Innovative Research Group Project of the National Natural Science Foundation of China 81602935Liangshan Prefecture Science and Technology Bureau Program 23ZDYF0025Sichuan Province Science and Technology Support Program 2022YFS0229Sichuan Province Science and Technology Support Program 2022YFS0641
6 · The paper itself

Abstract

backgroundGiven the critical importance of medication adherence in HIV/AIDS treatment, this study aims to compare medication adherence measured by self-report (SR) and indirect measurement among antiretroviral therapy (ART) patients, exploring the differences of adherence results measured by different tools.

methodsWe systematically searched PubMed, Embase, and the Cochrane Library to identify all relevant literature published up to November 22, 2023, without language restrictions, reporting adherence to ART measured by both SR and indirect measurement methods, while also analyzing individual and group adherence separately. Discrepancies between SR and indirect measurement results were assessed using the Mann-Whitney U test or Wilcoxon signed-rank test, with correlations evaluated using the Pearson correlation coefficient. Following one-to-one comparisons, meta-epidemiological one-step analysis was conducted, and network meta-analysis techniques were applied to compare results obtained through specific adherence assessment tools reported in the identified articles.

resultsThe analysis encompassed 65 original studies involving 13,667 HIV/AIDS patients, leading to 112 one-to-one comparisons between SR and indirect measurement tools. Statistically significant differences were observed between SR and indirect measurement tools regarding both individual and group adherence (P < 0.05), with Pearson correlation coefficients of 0.843 for individual adherence and 0.684 for group adherence. During meta-epidemiological one-step analysis, SR-measured adherence was determined to be 3.94% (95% CI: -4.48-13.44%) higher for individual adherence and 16.14% (95% CI: 0.81-18.84%) higher for group adherence compared to indirectly measured results. Subgroup analysis indicated that factors such as the year of reporting and geographic region appeared to influence the discrepancies between SR and indirect measurements. Furthermore, network meta-analysis revealed that for both individual and group adherence, the results obtained from most SR and indirect measurement tools were higher than those from electronic monitoring devices, with some demonstrating statistical significance (P < 0.05).

conclusionsThe findings underscored the complexity of accurately measuring medication adherence among ART patients. Significant variability was observed across studies, with self-report methods showing a significant tendency towards overestimation. Year of reporting, geographic region, and adherence measurement tools appeared to influence the differences between SR and indirect measurements. Future research should focus on developing and validating integrated adherence measurements that can combine SR data with indirect measures to achieve a more comprehensive understanding of adherence behaviors.

Indexed as

Drug MonitoringHIV InfectionsMedication AdherenceSelf ReportAnti-HIV AgentsAnti-Retroviral AgentsHumansAnti-HIV AgentsAnti-Retroviral AgentsAIDSAntiretroviral therapyHIVMedication adherenceMeta-epidemiological one-step analysisNetwork meta-analysisSelf-report

Identifiers

PMID38970140
PMCPMC11225374

What OpenQuestion holds

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Registered trials

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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.