Evidence map›Paper›PMID 34615664›Full record

SynthesisBMJ health & care informatics2021

Dashboards for visual display of patient safety data: a systematic review.

Daniel R Murphy, April Savoy, Tyler Satterly, Dean F Sittig, Hardeep Singh

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMJ health & care informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04166240 (Measuring and Improving the Safety of Test Result Follow-Up), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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.

NCT04166240 nacompletednot on this map

Measuring and Improving the Safety of Test Result Follow-Up

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2018 to 2023Enrolled46ConditionsLung Cancer, Breast Cancer, Colon Cancer, Bladder CancerArmsSAFER TRACKS Intervention
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.Medical journal of the Islamic Republic of Iran · 2025
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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

5 authors.

Daniel R MurphyCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, Texas, USA.
April SavoyPurdue School of Engineering and Technology, Indiana University Purdue University at Indianapolis, Indianapolis, Indiana, USA.
Tyler SatterlyCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, Texas, USA.
Dean F SittigSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA dean.f.sittig@uth.tmc.edu.ORCID http://orcid.org/0000-0001-5811-8915
Hardeep SinghCenter for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey VA Medical Center, Houston, Texas, USA.

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Translating Measures of Visual Experience to Children with Autism and Down SyndromeKL2TR002530 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI ROBB, SHERI L · 2018 to 2022
$4.8M
Decision Making and Clinical Work of Test Result Follow-up in Health IT SettingsR01HS022087 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2013 to 2016
$2.0M
Application of a Machine Learning to Enhance e-Triggers to Detect and Learn from Diagnostic Safety EventsR01HS027363 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2019 to 2021
$1.5M
Understanding Provider Workflow Needs in Electronic CommunicationK08HS022901 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI MURPHY, DANIEL R · 2014 to 2018
$766k
AHRQ HHS K08 HS022901AHRQ HHS R01 HS022087AHRQ HHS R01 HS027363NCATS NIH HHS KL2 TR002530NCATS NIH HHS UL1 TR002529
6 · The paper itself

Abstract

backgroundMethods to visualise patient safety data can support effective monitoring of safety events and discovery of trends. While quality dashboards are common, use and impact of dashboards to visualise patient safety event data remains poorly understood.

objectivesTo understand development, use and direct or indirect impacts of patient safety dashboards.

methodsWe conducted a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched PubMed, EMBASE and CINAHL for publications between 1 January 1950 and 30 August 2018 involving use of dashboards to display data related to safety targets defined by the Agency for Healthcare Research and Quality's Patient Safety Net. Two reviewers independently reviewed search results for inclusion in analysis and resolved disagreements by consensus. We collected data on development, use and impact via standardised data collection forms and analysed data using descriptive statistics.

resultsLiterature search identified 4624 results which were narrowed to 33 publications after applying inclusion and exclusion criteria and consensus across reviewers. Publications included only time series and case study designs and were inpatient focused and emergency department focused. Information on direct impact of dashboards was limited, and only four studies included informatics or human factors principles in development or postimplementation evaluation. DISCUSSION: Use of patient-safety dashboards has grown over the past 15 years, but impact remains poorly understood. Dashboard design processes rarely use informatics or human factors principles to ensure that the available content and navigation assists task completion, communication or decision making.

conclusionDesign and usability evaluation of patient safety dashboards should incorporate informatics and human factors principles. Future assessments should also rigorously explore their potential to support patient safety monitoring including direct or indirect impact on patient safety.

Indexed as

Health Services ResearchPatient SafetyHumansUnited Statesdata visualizationinformaticssafety management

Identifiers

PMID34615664
PMCPMC8496385

What OpenQuestion holds

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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.