Evidence map›Paper›PMID 42374421›Full record

SynthesisBMC health services research2026

The role of pictograms in improving patients' medication adherence: a systematic review.

Yawen Liu, Jiayi Sun, Wanqiong Zhou, Chengrui Zhang, Ying Xing, Ying Wang, Yan Zhang, Jie Shen, Wei Luan

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Yawen Liu *Shuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Jiayi Sun *Shuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Wanqiong ZhouShuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Chengrui ZhangShuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Ying XingShanghai Jiao Tong University School of Nursing, Shanghai, China.
Ying WangShuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Yan ZhangShuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China.
Jie Shen *Shuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China. shj421@126.com.
Wei Luan *Shuguang Clinical Medical College, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai University of TCM, Shanghai, China. luanwei_shuguang@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor medication adherence remains a significant public health issue. Although pictograms are established as intuitive visual aids for medication guidance, a current evidence synthesis is lacking, particularly regarding their role in the rapidly advancing digital health landscape.

objectiveTo systematically evaluate the potential effect of pictograms on patients' medication adherence and exploring implications for the digital health era.

methodsWe searched PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang Data Knowledge Service Platform, VIP Network, and CBM databases for relevant studies on the effect of pictograms on patients' medication adherence, from the inception of each database to April 27, 2025.

resultsA total of 21 articles were included, comprising 19 English and 2 Chinese publications, all of which were randomized controlled trials. These studies varied in terms of study background, sample size, and drug regimens tested. All studies had methodological limitations, with pictographic interventions differing in complexity, duration, and adherence outcomes measured. Twelve studies (57.1%) reported statistically significant effects of pictographic interventions on patient adherence.

conclusionPictograms serve as an effective adjunct to enhance medication adherence, particularly among patients managing complex medication regimens or possessing limited health literacy. Future efforts should focus on developing standardized, evidence-based pictogram libraries and integrating them into multimodal medication education systems. Incorporating pictograms into digital health platforms, such as those using AI and smart devices, represents a promising direction for enhancing their reach and impact.

Indexed as

Medication AdherenceAdherence InterventionsDigital HealthHealth LiteracyHumansInfographics as TopicMedication adherencePictogramSystematic review

Identifiers

PMID42374421
PMCPMC13525695

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.