Evidence map›Paper›PMID 34805777›Full record

ArticleJAMIA open2021

An analysis of the structure and content of dashboards used to monitor patient safety in the inpatient setting.

Masha Kuznetsova, Michelle L Frits, Sevan Dulgarian, Christine Iannaccone, Elizabeth Mort, David W Bates, Hojjat Salmasian

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. From Data to Decision: Design and Evaluation of a Patient Safety Dashboard.Medical journal of the Islamic Republic of Iran · 2025
    Article
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  3. Article
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  5. Review
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

7 authors.

Masha KuznetsovaHarvard Business School, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-6710-526X
Michelle L FritsDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Sevan DulgarianDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Christine IannacconeDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Elizabeth MortDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
David W BatesDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Hojjat SalmasianDivision of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to review and compare patient safety dashboards used by hospitals and identify similarities and differences in their design, format, and scope. We reviewed design features of electronic copies of patient safety dashboards from a representative sample of 10 hospitals. The results show great heterogeneity in the format, presentation, and scope of patient safety dashboards. Hospitals varied in their use of performance indicators (targets, trends, and benchmarks), style of color coding, and timeframe for the displayed metrics. The average number of metrics per dashboard display was 28, with a wide range from 7 to 84. Given the large variation in dashboard design, there is a need for future work to assess which approaches are associated with the best outcomes, and how specific elements contribute to usability, to help customize dashboards to meet the needs of different clinical, and operational stakeholders.

Indexed as

data collectionpatient safetyquality improvementvisualization

Identifiers

PMID34805777
PMCPMC8599723

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.