Evidence map›Paper›PMID 42044290›Full record

SynthesisJMIR medical informatics2026

Leveraging MedlinePlus to Improve Health Information Access Among Patients and Caregivers: Systematic Literature Review.

Fei Yu, Xiaomeng Wang, Jia Liu, Tian Wang, Siobahn Day Grady, Lixin Song

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Fei YuCarolina Health Informatics Program, School of Information and Library Science, University of North Carolina at Chapel Hill, 216 Lenoir Drive CB #3360, 100 Manning Hall, Chapel Hill, NC, 27599, United States, 1 919663589.ORCID 0000-0003-1079-1590
Xiaomeng WangMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0009-0007-2785-5665
Jia LiuUniversity of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0003-0990-9299
Tian WangSchool of Information Sciences, University of Illinois at Urbana‑Champaign, Champaign, IL, United States.ORCID 0009-0005-6425-2893
Siobahn Day GradySchool of Library and Information Sciences, North Carolina Central University, Durham, NC, United States.ORCID 0000-0001-5453-5324
Lixin SongUniversity of Texas Health Science Center at San Antonio, San Antonio, TX, United States.ORCID 0000-0001-8286-319X

Funding

Department of Defense W81XWH-21-1-0263
6 · The paper itself

Abstract

Background: MedlinePlus, developed by the National Library of Medicine (NLM) in the United States, is one of the most widely used, authoritative, consumer-grade health information resources on the web. Although extensively used and discussed in scholarly work for health literacy and patient education, it is unclear how MedlinePlus has been integrated into clinical care or embedded within health informatics applications. Objective: This study aimed to understand how MedlinePlus has supported patients and caregivers by increasing access to health information for clinical care and illness management. The insights on this topic will inform the design and development of patient-facing digital health intervention tools for improved health communication, decision engagement, informed decision-making, and health outcomes. Methods: We conducted a systematic literature review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. First, we developed a comprehensive literature search strategy, searched 9 citation databases, and aggregated and deduplicated search results before importing them into Covidence for manual screening using predefined inclusion and exclusion criteria. Second, reviewers independently assessed all studies at the title-abstract and full-text levels, resolving discrepancies through ongoing discussions. Third, we applied the PICO (problem/population, intervention, comparison, and outcome) and the Collaborative Chronic Care Model as guiding frameworks for data extraction and analysis. All included studies underwent quality assessment using the Mixed Methods Appraisal Tool. Results: In total, 28 studies reported in 27 sources met our inclusion criteria. We categorized the extracted data into 4 areas. First, regarding bibliometrics, the studies were reported between 2004 and 2024, with 2010 having the highest number of studies. Of these studies, 25 were conducted in the United States, 2 were conducted in Iran, and 1 was conducted in Argentina. Health informatics journals and conference proceedings, as well as library science journals, were prominent publishing venues. The NLM funded half of the studies. Second, regarding participants, most studies focused on outpatients. Other participant roles included physicians, nurses, hospital staff, pharmacists, and librarians. Fewer than half of the studies addressed the social determinants of health. Third, regarding intervention, most studies implemented MedlinePlus information interventions within clinical settings. Other interventions occurred in community pharmacies, community organizations, libraries, online health platforms, or patient portals. Fourth, regarding outcome, only 4 studies assessed clinical outcomes, and the findings were mixed and inconsistent. However, 24 of 28 studies reported positive nonclinical outcomes, including improved attitudes toward and satisfaction with MedlinePlus and enhancements in patients' information-seeking behaviors, confidence, and willingness to engage in decision-making, physician-patient communication, self-management, and self-efficacy. Conclusions: This systematic literature review is the first comprehensive examination of how MedlinePlus has been integrated into clinical care, supporting patients and caregivers with enhanced access to health information. Our findings offer evidence and insights through the Collaborative Chronic Care Model lens and can guide the development of digital health interventions to improve patient health.

Indexed as

Access to InformationCaregiversMedlinePlusPatientsHumansUnited Stateshealth information accessinformation interventioninformation prescriptionMedlinePluspatients and caregiverssystematic literature review

Identifiers

PMID42044290
PMCPMC13119385

What OpenQuestion holds

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LicenceCC BY
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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.