Evidence map›Paper›PMID 42456099›Full record

ArticleJournal of medical Internet research2026

Comparative Analysis of Expert, Clinician, and Health Care User Interactions With Summary of Findings Tables: Usability Study.

Nina Vitlov, Nensi Bralić, Tina Poklepović Peričić, Daniel Garcia-Costa, Emilia López-Iñesta, Elena Álvarez-García, Francisco Grimaldo, Ana Marušić

Abstract readComparative Study
In one paragraph

Article in Journal of medical Internet 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.

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

8 authors.

Nina VitlovDepartment of Research in Biomedicine and Health, University of Split School of Medicine, Šoltanska 2A, Split, 21000, Croatia, 385 21 557 820.ORCID http://orcid.org/0009-0004-0508-0828
Nensi BralićDepartment of Research in Biomedicine and Health, University of Split School of Medicine, Šoltanska 2A, Split, 21000, Croatia, 385 21 557 820.ORCID http://orcid.org/0000-0001-9509-0210
Tina Poklepović PeričićDepartment of Prosthodontics, University of Split School of Medicine, Split, Croatia.ORCID http://orcid.org/0000-0002-9686-5062
Daniel Garcia-CostaComputer Science Department, Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0002-8939-8451
Emilia López-IñestaDepartment of Didactics of Mathematics, Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0002-1325-2501
Elena Álvarez-GarcíaComputer Science Department, Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0002-6499-4871
Francisco GrimaldoComputer Science Department, Universitat de València, Valencia, Spain.ORCID http://orcid.org/0000-0002-1357-7170
Ana MarušićDepartment of Research in Biomedicine and Health, University of Split School of Medicine, Šoltanska 2A, Split, 21000, Croatia, 385 21 557 820.ORCID http://orcid.org/0000-0001-6272-0917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: of findings (SoF) tables are widely used in systematic reviews and clinical practice guidelines to present evidence about health care interventions in a concise and transparent format. Although developed to improve accessibility and interpretation of evidence, previous studies have shown that users often experience difficulties understanding statistical information, certainty ratings, and the relationships between outcomes and treatment effects. Limited research has explored how different groups of users cognitively interact with SoF tables while solving evidence interpretation tasks, particularly when table complexity increases. Objective: This study aimed to investigate how different types of users-Grading of Recommendations Assessment, Development, and Evaluation (GRADE) or Cochrane experts, practicing clinicians, and health care users-interact with SoF tables of varying complexity while answering intervention-related questions, and to examine differences in search behavior, navigation patterns, and task performance. Methods: We used the Read&Learn tool (ERI-Lectura and LAIA-UV) in an online, single-session study to evaluate participants' interactions with SoF tables. Participants (n=120; 40 per group) accessed preselected SoF tables via a secure link and unique login. Participants completed tasks involving 4 SoF tables with increasing complexity. Specific table cells were blurred and had to be clicked to reveal information. Outcomes included the number of correct answers, total time spent on tasks, number of table cells visited, number of target and nontarget cells, and question-reading behavior. Results: Simpler SoF tables with a small number of outcomes and single target cells were correctly interpreted by most participants, regardless of their expertise. As table complexity and task demand increased, all participant groups demonstrated reduced performance and less efficient navigation patterns. Experts generally performed better than clinicians and health care users, particularly by spending less time reading nontarget cells and visiting fewer irrelevant table elements. Nevertheless, even experts experienced difficulties with tasks requiring synthesis and interpretation across multiple table cells. Questions requiring comparison and integration of information across outcomes resulted in the highest rates of incorrect responses in all groups. Heatmaps of the number of clicks and time spent on tables demonstrated that experts used more targeted search strategies, whereas clinicians and health care users explored a larger number of nontarget cells and spent more time navigating the tables. The most complex SoF tables produced the highest cognitive demands for all groups, suggesting that increasing element interactivity and information density substantially affect usability. Conclusions: SoF tables remain cognitively demanding even for experienced users of evidence synthesis. Increasing table complexity appears to reduce users' ability to identify, interpret, and synthesize relevant information. These findings suggest that current SoF formats may impose substantial intrinsic and extraneous cognitive load, particularly for nonexpert audiences. Future development of SoF tables should prioritize clearer presentation of clearer outcomes, inclusion of absolute alongside relative effects, and interactive or user-centered formats that support evidence navigation and interpretation.

Indexed as

Data AnalysisHealth PersonnelHumanscognitive loaddecision-makingGRADEGrading of Recommendations Assessment, Development, and Evaluationquality of evidenceusability

Identifiers

PMID42456099
PMCPMC13372215

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.