Evidence map›Paper›PMID 27081412›Full record

ArticleApplied clinical informatics2016

Usability Evaluation of a Clinical Decision Support System for Geriatric ED Pain Treatment.

Nicholas Genes, Min Soon Kim, Frederick L Thum, Laura Rivera, Rosemary Beato, Carolyn Song, Jared Soriano, Joseph Kannry, Kevin Baumlin, Ula Hwang

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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 4 institutions in 1 country.

Nicholas GenesDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Min Soon KimDepartment of Health Management & Informatics, University of Missouri School of Medicine, Columbia, MO; Informatics Institute, University of Missouri, Columbia, MO.
Frederick L ThumDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Laura RiveraDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Rosemary BeatoDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Carolyn SongDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Jared SorianoInformation Technology, Mount Sinai Health System , New York, NY.
Joseph KannryInformation Technology, Mount Sinai Health System, New York, NY; Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Kevin BaumlinDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai , New York, NY.
Ula HwangBrookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Geriatric Research, Education and Clinical Center, James J Peters VAMC, Bronx, NY.
Icahn School of Medicine at Mount Sinai · USGeriatric Research Education and Clinical Center · USMount Sinai Health System · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults are at risk for inadequate emergency department (ED) pain care. Unrelieved acute pain is associated with poor outcomes. Clinical decision support systems (CDSS) hold promise to improve patient care, but CDSS quality varies widely, particularly when usability evaluation is not employed.

objectiveTo conduct an iterative usability and redesign process of a novel geriatric abdominal pain care CDSS. We hypothesized this process would result in the creation of more usable and favorable pain care interventions.

methodsThirteen emergency physicians familiar with the Electronic Health Record (EHR) in use at the study site were recruited. Over a 10-week period, 17 1-hour usability test sessions were conducted across 3 rounds of testing. Participants were given 3 patient scenarios and provided simulated clinical care using the EHR, while interacting with the CDSS interventions. Quantitative System Usability Scores (SUS), favorability scores and qualitative narrative feedback were collected for each session. Using a multi-step review process by an interdisciplinary team, positive and negative usability issues in effectiveness, efficiency, and satisfaction were considered, prioritized and incorporated in the iterative redesign process of the CDSS. Video analysis was used to determine the appropriateness of the CDS appearances during simulated clinical care.

resultsOver the 3 rounds of usability evaluations and subsequent redesign processes, mean SUS progressively improved from 74.8 to 81.2 to 88.9; mean favorability scores improved from 3.23 to 4.29 (1 worst, 5 best). Video analysis revealed that, in the course of the iterative redesign processes, rates of physicians' acknowledgment of CDS interventions increased, however most rates of desired actions by physicians (such as more frequent pain score updates) decreased.

conclusionThe iterative usability redesign process was instrumental in improving the usability of the CDSS; if implemented in practice, it could improve geriatric pain care. The usability evaluation process led to improved acknowledgement and favorability. Incorporating usability testing when designing CDSS interventions for studies may be effective to enhance clinician use.

Indexed as

Emergency Service, HospitalGeriatricsPain ManagementAgedDecision Support Systems, ClinicalHumansPhysiciansacute painagedClinical decision support systemscomputerizeddecision support techniquesman-machine systemsmedical record systems

Identifiers

PMID27081412
PMCPMC4817340
OpenAlexW2337296987

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.