Evidence map›Paper›PMID 37067858›Full record

ArticleJMIR human factors2023

Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson.

Angela Rui, Pamela M Garabedian, Marlika Marceau, Ania Syrowatka, Lynn A Volk, Heba H Edrees, Diane L Seger, Mary G Amato, Jacob Cambre, Sevan Dulgarian and 6 more

Erratum issuedAbstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Angela Rui *Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-9635-801X
Pamela M Garabedian *Clinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0002-4346-7968
Marlika MarceauClinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0003-4667-2104
Ania SyrowatkaDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-7161-9770
Lynn A VolkClinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0002-8735-2951
Heba H EdreesDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-7337-1046
Diane L SegerClinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0001-9924-378X
Mary G AmatoDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-0247-9049
Jacob CambreDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0003-3574-9583
Sevan DulgarianDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0003-0827-6602
Lisa P NewmarkClinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0002-1492-2626
Karen C NanjiClinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States.ORCID 0000-0002-1347-1640
Petra SchultzMerative, Cambridge, MA, United States.ORCID 0000-0001-7949-9243
Gretchen Purcell JacksonVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-3242-8058
Ronen RozenblumDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0002-8503-5864
David W BatesDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States.ORCID 0000-0001-6268-1540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence-based point-of-care information (POCI) tools can facilitate patient safety and care by helping clinicians to answer disease state and drug information questions in less time and with less effort. However, these tools may also be visually challenging to navigate or lack the comprehensiveness needed to sufficiently address a medical issue.

objectiveThis study aimed to collect clinicians' feedback and directly observe their use of the combined POCI tool DynaMed and Micromedex with Watson, now known as DynaMedex. EBSCO partnered with IBM Watson Health, now known as Merative, to develop the combined tool as a resource for clinicians. We aimed to identify areas for refinement based on participant feedback and examine participant perceptions to inform further development.

methodsParticipants (N=43) within varying clinical roles and specialties were recruited from Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts, United States, between August 10, 2021, and December 16, 2021, to take part in usability sessions aimed at evaluating the efficiency and effectiveness of, as well as satisfaction with, the DynaMed and Micromedex with Watson tool. Usability testing methods, including think aloud and observations of user behavior, were used to identify challenges regarding the combined tool. Data collection included measurements of time on task; task ease; satisfaction with the answer; posttest feedback on likes, dislikes, and perceived reliability of the tool; and interest in recommending the tool to a colleague.

resultsOn a 7-point Likert scale, pharmacists rated ease (mean 5.98, SD 1.38) and satisfaction (mean 6.31, SD 1.34) with the combined POCI tool higher than the physicians, nurse practitioner, and physician's assistants (ease: mean 5.57, SD 1.64, and satisfaction: mean 5.82, SD 1.60). Pharmacists spent longer (mean 2 minutes, 26 seconds, SD 1 minute, 41 seconds) on average finding an answer to their question than the physicians, nurse practitioner, and physician's assistants (mean 1 minute, 40 seconds, SD 1 minute, 23 seconds).

conclusionsOverall, the tool performed well, but this usability evaluation identified multiple opportunities for improvement that would help inexperienced users.

Indexed as

artificial intelligenceclinical decision supportefficiencymachine learningmedication safetynatural language processingpatient safetyPOCIpoint-of-care informationpoint-of-care toolsquality of caresearching behaviorusabilityweb-based databases

Identifiers

PMID37067858
PMCPMC10152386

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.