Evidence map›Paper›PMID 36809791›Full record

ArticleApplied clinical informatics2023

Human-Centered Design of a Clinical Decision Support for Anemia Screening in Children with Inflammatory Bowel Disease.

Steven D Miller, Zachary Murphy, Joshua H Gray, Jill Marsteller, Maria Oliva-Hemker, Andrew Maslen, Harold P Lehmann, Paul Nagy, Susan Hutfless, Ayse P Gurses

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 13 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

10 authors at 1 institution in 1 country.

Steven D MillerDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Zachary MurphyDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Joshua H GrayDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Jill MarstellerDepartment of Health Policy and Management, Johns Hopkins University School of Medicine Armstrong Institute for Patient Safety and Quality, Baltimore, Maryland, United States.
Maria Oliva-HemkerDivision of Pediatric Gastroenterology, Hepatology, and Nutrition, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Andrew MaslenInformation Technology at Johns Hopkins Health System, Epic Project Leadership, Johns Hopkins Health System, Baltimore, Maryland, United States.
Harold P LehmannDivision of Health Science Informatics, Johns Hopkins University, Baltimore, Maryland, United States.
Paul NagyDepartment of Radiology, Johns Hopkins University School of Medicine, Johns Hopkins Technology Ventures, Baltimore, Maryland, United States.
Susan HutflessDivision of Gastroenterology and Hepatology, Johns Hopkins University, Baltimore, Maryland, United States.
Ayse P GursesInformation Technology at Johns Hopkins Health System, Epic Project Leadership, Johns Hopkins Health System, Baltimore, Maryland, United States.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory bowel disease (IBD) commonly leads to iron deficiency anemia (IDA). Rates of screening and treatment of IDA are often low. A clinical decision support system (CDSS) embedded in an electronic health record could improve adherence to evidence-based care. Rates of CDSS adoption are often low due to poor usability and fit with work processes. One solution is to use human-centered design (HCD), which designs CDSS based on identified user needs and context of use and evaluates prototypes for usefulness and usability.

objectivesthis study aimed to use HCD to design a CDSS tool called the IBD Anemia Diagnosis Tool, IADx.

methodsInterviews with IBD practitioners informed creation of a process map of anemia care that was used by an interdisciplinary team that used HCD principles to create a prototype CDSS. The prototype was iteratively tested with "Think Aloud" usability evaluation with clinicians as well as semi-structured interviews, a survey, and observations. Feedback was coded and informed redesign.

resultsProcess mapping showed that IADx should function at in-person encounters and asynchronous laboratory review. Clinicians desired full automation of clinical information acquisition such as laboratory trends and analysis such as calculation of iron deficit, less automation of clinical decision selection such as laboratory ordering, and no automation of action implementation such as signing medication orders. Providers preferred an interruptive alert over a noninterruptive reminder.

conclusionProviders preferred an interruptive alert, perhaps due to the low likelihood of noticing a noninterruptive advisory. High levels of desire for automation of information acquisition and analysis with less automation of decision selection and action may be generalizable to other CDSSs designed for chronic disease management. This underlines the ways in which CDSSs have the potential to augment rather than replace provider cognitive work.

Indexed as

AnemiaDecision Support Systems, ClinicalInflammatory Bowel DiseasesMass ScreeningChildChronic DiseaseElectronic Health RecordsHumans

Identifiers

PMID36809791
PMCPMC10171996
OpenAlexW4321434640

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.