Evidence map›Paper›PMID 31365940›Full record

ArticleApplied clinical informatics2019

Quality Initiative Using Theory of Change and Visual Analytics to Improve Controlled Substance Documentation Discrepancies in the Operating Room.

Jenny E Dolan, Hannah Lonsdale, Luis M Ahumada, Amish Patel, Jibin Samuel, Ali Jalali, Jacquelin Peck, JoAnn C DeRosa, Mohamed Rehman, Anna M Varughese and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Jenny E DolanDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Hannah LonsdaleDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Luis M AhumadaDepartment of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Amish PatelDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Jibin SamuelDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Ali JalaliDepartment of Health Informatics, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Jacquelin PeckDepartment of Anesthesiology, Mount Sinai Medical Center of Florida, Florida, United States.
JoAnn C DeRosaClinical and Translational Research Organization, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Mohamed RehmanDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Anna M VarugheseDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Allison M FernandezDepartment of Anesthesia, Perioperative and Pain Medicine, Johns Hopkins All Children's Hospital, St Petersburg, Florida, United States.
Johns Hopkins All Children's Hospital · USJohns Hopkins University · USMount Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiscrepancies in controlled substance documentation are common and can lead to legal and regulatory repercussions. We introduced a visual analytics dashboard to assist in a quality improvement project to reduce the discrepancies in controlled substance documentation in the operating room (OR) of our free-standing pediatric hospital.

methodsVisual analytics were applied to collected documentation discrepancy audit data and were used to track progress of the project, to motivate the OR team, and in analyzing where further improvements could be made. This was part of a seven-step improvement plan based on the Theory of Change with a logic model framework approach.

resultsThe introduction of the visual analytics dashboard contributed a 24% improvement in controlled substance documentation discrepancy. The project overall reduced documentation errors by 71% over the studied period.

conclusionWe used visual analytics to simultaneously analyze, monitor, and interpret vast amounts of data and present them in an appealing format. In conjunction with quality-improvement principles, this led to a significant improvement in controlled substance documentation discrepancies.

Indexed as

Controlled SubstancesOperating RoomsChildDocumentationHumansQuality ImprovementStatistics as TopicTime FactorsControlled Substances

Identifiers

PMID31365940
PMCPMC6669039
OpenAlexW2966050525

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.