ArticleJMIR formative research2021
Usability Analysis of a Health Sciences Digital Library by Medical Residents: Cross-sectional Survey.
Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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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.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Design and evaluation of a mobile application for educational purposes and facilitating scientific literature search for students and researchers.BMC medical education · 2025Article
- Toward Normalizing Inclusive Design by Uncovering Patient Experiences of a Web Portal in a Dental Hospital: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Exploring Usability of a Clinical Decision Support System for Cancer Care: A User-Centered Study.Cancer reports (Hoboken, N.J.) · 2025Article
- An ontology-based tool for modeling and documenting events in neurosurgery.BMC medical informatics and decision making · 2024Article
- A context-driven approach through stakeholder engagement to introduce a digital emergency obstetric and newborn care register into routine obstetric health care services in Bangladesh.Journal of global health · 2024Article
- Introducing a digital emergency obstetric and newborn care register for indoor obstetric patient management: An implementation research in selected public health care facilities of Bangladesh.Journal of global health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe usability of a digital library depends on a myriad of factors ranging from the end users' ability to website complexity. Although digital libraries provide instant access to online content, offering an efficient reference platform, their usability is highly variable.
objectiveThe aim of this study was to measure users' perspectives and usability of the digital library of the Saudi Commission for Health Specialties (SCFHS).
methodsA web-based questionnaire survey was conducted using a validated System Usability Scale (SUS) containing 5 positive and 5 negative items on the usability of the digital library. The SUS standard cut-off score of 68 was considered for interpretation.
resultsThe overall mean SUS score of digital library usability was 52.9 (SD 15.2) with a grade "D" categorization, indicating low usability. The perceived measures of attributes of the 10 SUS items of findability, complexity, consistency, and confidence obtained below average scores. Only item 1 relating to perceived willingness to use the digital library frequently obtained a score above the targeted benchmark score (mean score 3.6). Higher SUS scores were associated with training (P=.02). Men felt the digital library to be more complex (P=.04) and board-certified physicians perceived a greater need for training on digital library use (P=.05). Only the UpToDate database was widely used (72/90, 80%).
conclusionsThese findings demonstrate the low usability of the extensive facilities offered by the SCFHS digital library. It is pivotal to improve awareness of the availability of the digital library and popularize the databases. There is also a need for improved user training to enhance the accessibility and usability of the multiple databases.
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Registered trials
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.