ArticleComputers, informatics, nursing : CIN2019
Usability Evaluation of a Dashboard for Home Care Nurses.
Article in Computers, informatics, nursing : CIN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Usability Evaluation of Dashboards: A Systematic Literature Review of Tools.BioMed research international · 2023Pooled it
- Interaction Time with Electronic Health Records: A Systematic Review.Applied clinical informatics · 2021Pooled it
- An Interactive Digital Dashboard for Patient Monitoring and Management in a Continuity of Care Centre: Development and Preliminary Usability Evaluation Study.JMIR formative research · 2026Article
- Interpretation of Health-Smart Home Data and Implications for Clinical Decision-Making: Inductive Content Analysis.JMIR nursing · 2025Article
- Co-designing 'gene', a smartphone app for genetics education and empowerment with and for the British Pakistani community: a methodological summary of the GENE-Ed project.Journal of community genetics · 2025Article
- From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.Medical journal of the Islamic Republic of Iran · 2025Article
- Using co-design to understand consumer's health information-seeking behaviours and design preferences for a new digital clinical dashboard in aged care.BMC geriatrics · 2024Article
- Capturing Home Care Information Management and Communication Processes Among Caregivers of Older Adults: Qualitative Study to Inform Technology Design.JMIR formative research · 2024Article
- The experiences of patients with COVID-19 and their relatives from receiving professional home care nursing: a qualitative content analysis.BMC nursing · 2024Article
- Virtual reality and augmented reality smartphone applications for upskilling care home workers in hand hygiene: a realist multi-site feasibility, usability, acceptability, and efficacy study.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- A Web-Based Tool to Report Adverse Drug Reactions by Community Pharmacists in Australia: Usability Testing Study.JMIR formative research · 2023Article
- Involving Health Care Professionals in the Development of Electronic Health Records: Scoping Review.JMIR human factors · 2023Article
- Usability and Acceptability of Clinical Dashboards in Aged Care: Systematic Review.JMIR aging · 2023Review
- Article
- Exploring the Experiences of Family Caregivers of Children With Special Health Care Needs to Inform the Design of Digital Health Systems: Formative Qualitative Study.JMIR formative research · 2022Article
- Why Are Digital Health Care Systems Still Poorly Designed, and Why Is Health Care Practice Not Asking for More? Three Paths Toward a Sustainable Digital Work Environment.Journal of medical Internet research · 2021Article
- "A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- The Time is Now: Informatics Research Opportunities in Home Health Care.Applied clinical informatics · 2021Article
- Visualizing Opportunity Index Data Using a Dashboard Application: A Tool to Communicate Infant Mortality-Based Area Deprivation Index Information.Applied clinical informatics · 2020Article
- Usability Testing a Potentially Inappropriate Medication Dashboard: A Core Component of the Dashboard Development Process.Applied clinical informatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The introduction of electronic health records has produced many challenges for clinicians. These include integrating technology into clinical workflow and fragmentation of relevant information across systems. Dashboards, which use visualized data to summarize key patient information, have the potential to address these issues. In this article, we outline a usability evaluation of a dashboard designed for home care nurses. An iterative design process was used, which consisted of (1) contextual inquiry (observation and interviews) with two home care nurses; (2) rapid feedback on paper prototypes of the dashboard (10 nurses); and (3) usability evaluation of the final dashboard prototype (20 nurses). Usability methods and assessments included observation of nurses interacting with the dashboard, the system usability scale, and the Questionnaire for User Interaction Satisfaction short form. The dashboard prototype was deemed to have high usability (mean system usability scale, 73.2 [SD, 18.8]) and was positively evaluated by nurse users. It is important to ensure that technology solutions such as the one proposed in this article are designed with clinical users in mind, to meet their information needs. The design elements of the dashboard outlined in this article could be translated to other electronic health records used in home care settings.
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What OpenQuestion holds
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.