Evidence map›Paper›PMID 28870378›Full record

Observational studyInternational journal of medical informatics2017

"Think aloud" and "Near live" usability testing of two complex clinical decision support tools.

Safiya Richardson, Rebecca Mishuris, Alexander O'Connell, David Feldstein, Rachel Hess, Paul Smith, Lauren McCullagh, Thomas McGinn, Devin Mann

Abstract readObservational Study
In one paragraph

Observational study in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Safiya RichardsonHofstra Northwell School of Medicine, United States. Electronic address: srichard12@northwell.edu.
Rebecca MishurisBoston University, United States. Electronic address: rebecca.mishuris@bmc.org.
Alexander O'ConnellHofstra Northwell School of Medicine, United States. Electronic address: aoconnel@northwell.edu.
David FeldsteinUniversity of Wisconsin School of Medicine and Public Health, United States. Electronic address: df2@medicine.wisc.edu.
Rachel HessUniversity of Utah School of Medicine, United States. Electronic address: rachel.hess@hsc.utah.edu.
Paul SmithUniversity of Wisconsin School of Medicine and Public Health, United States. Electronic address: paul.smith@fammed.wisc.edu.
Lauren McCullaghHofstra Northwell School of Medicine, United States. Electronic address: lmccullagh@northwell.edu.
Thomas McGinnHofstra Northwell School of Medicine, United States. Electronic address: tmcginn@northwell.edu.
Devin MannNew York University School of Medicine, United States. Electronic address: devin.mann@nyumc.org.

Funding

Integrated Clinical Prediction Rules: Bringing Evidence to Diverse Primary Care SettingsR01AI108680 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FELDSTEIN, DAVID ALAN, MANN, DEVIN M · 2014 to 2024
$7.9M
NIAID NIH HHS R01 AI108680
6 · The paper itself

Abstract

objectivesLow provider adoption continues to be a significant barrier to realizing the potential of clinical decision support. "Think Aloud" and "Near Live" usability testing were conducted on two clinical decision support tools. Each was composed of an alert, a clinical prediction rule which estimated risk of either group A Streptococcus pharyngitis or pneumonia and an automatic order set based on risk. The objective of this study was to further understanding of the facilitators of usability and to evaluate the types of additional information gained from proceeding to "Near Live" testing after completing "Think Aloud".

methodsThis was a qualitative observational study conducted at a large academic health care system with 12 primary care providers. During "Think Aloud" testing, participants were provided with written clinical scenarios and asked to verbalize their thought process while interacting with the tool. During "Near Live" testing participants interacted with a mock patient. Morae usability software was used to record full screen capture and audio during every session. Participant comments were placed into coding categories and analyzed for generalizable themes. Themes were compared across usability methods.

results"Think Aloud" and "Near Live" usability testing generated similar themes under the coding categories visibility, workflow, content, understand-ability and navigation. However, they generated significantly different themes under the coding categories usability, practical usefulness and medical usefulness. During both types of testing participants found the tool easier to use when important text was distinct in its appearance, alerts were passive and appropriately timed, content was up to date, language was clear and simple, and each component of the tool included obvious indicators of next steps. Participant comments reflected higher expectations for usability and usefulness during "Near Live" testing. For example, visit aids, such as automatically generated order sets, were felt to be less useful during "Near-Live" testing because they would not be all inclusive for the visit.

conclusionsThese complementary types of usability testing generated unique and generalizable insights. Feedback during "Think Aloud" testing primarily helped to improve the tools' ease of use. The additional feedback from "Near Live" testing, which mimics a real clinical encounter, was helpful for eliciting key barriers and facilitators to provider workflow and adoption.

Indexed as

SoftwareDecision Support Systems, ClinicalElectronic Health RecordsEvidence-Based MedicineFemaleHealth PersonnelHumansMaleMiddle AgedPharyngitisPneumoniaUser-Computer InterfaceClinical decision supportHealth informaticsProvider adoptionUsabilityUsability testingUser experienceWorkflow

Identifiers

PMID28870378
PMCPMC5679128

What OpenQuestion holds

Textmetadata
LicenceTDM
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.