Evidence map›Paper›PMID 32308869›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Requirements for a quality dashboard: Lessons from National Clinical Audits.

Rebecca Randell, Natasha Alvarado, Lynn McVey, Roy A Ruddle, Patrick Doherty, Chris Gale, Mamas Mamas, Dawn Dowding

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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.

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Rebecca RandellUniversity of Leeds, Leeds, UK.
Natasha AlvaradoUniversity of Leeds, Leeds, UK.
Lynn McVeyUniversity of Leeds, Leeds, UK.
Roy A RuddleUniversity of Leeds, Leeds, UK.
Patrick DohertyUniversity of York, York, UK.
Chris GaleUniversity of Leeds, Leeds, UK.
Mamas MamasRoyal Stoke Hospital, Stoke on Trent, UK.
Dawn DowdingManchester University, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare organizations worldwide use quality dashboards to provide feedback to clinical teams and managers, in order to monitor care quality and stimulate quality improvement. However, there is limited evidence regarding the impact of quality dashboards and audit and feedback research focuses on feedback to individual clinicians, rather than to clinical and managerial teams. Consequently, we know little about what features a quality dashboard needs in order to provide benefit. We conducted 54 interviews across five healthcare organizations in the National Health Service in England, interviewing personnel at different levels of the organization, to understand how national (UK) clinical audit data are used for quality improvement and factors that support or constrain use of these data. The findings, organized around the themes of choosing performance indicators, assessing performance, identifying causes, communicating from ward to board, and data quality, have implications for the design of quality dashboards, which we have translated into a series of requirements.

Indexed as

Clinical AuditData AccuracyQuality ImprovementData DisplayFeedbackHealth FacilitiesHumansInterviews as TopicOutcome and Process Assessment, Health CareQuality Indicators, Health CareQuality of Health CareState MedicineUnited KingdomUser-Computer Interface

Identifiers

PMID32308869
PMCPMC7153077

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.