Evidence map›Paper›PMID 31438106›Full record

ArticleStudies in health technology and informatics2019

User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module.

Sara Kuppin Chokshi, Andrea Troxel, Hayley Belli, Jessica Schwartz, Saul Blecker, Caroline Blaum, Adam Szerencsy, Paul Testa, Devin Mann

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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

9 authors.

Sara Kuppin ChokshiDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Andrea TroxelDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Hayley BelliDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Jessica SchwartzMedical Center Information Technology, NYU Langone Health, New York, NY, USA.
Saul BleckerDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Caroline BlaumDepartment of Population Health, New York University School of Medicine, New York, NY, USA.
Adam SzerencsyMedical Center Information Technology, NYU Langone Health, New York, NY, USA.
Paul TestaMedical Center Information Technology, NYU Langone Health, New York, NY, USA.
Devin MannDepartment of Population Health, New York University School of Medicine, New York, NY, USA.

Funding

EHR nudges: Development and testing of a behavioral economics electronic health record moduleR33AG057382 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MANN, DEVIN M, TROXEL, ANDREA B · 2019 to 2021
$2.2M
EHR nudges: Development and testing of a behavioral economics electronic health record moduleR21AG057382 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MANN, DEVIN M, TROXEL, ANDREA B · 2017 to 2018
$459k
NIA NIH HHS R21 AG057382NIA NIH HHS R33 AG057382
6 · The paper itself

Abstract

Changing physician behaviors is difficult. Electronic health record (EHR) clinical decision support (CDS) offers an opportunity to promote guideline adherence. Behavioral economics (BE) has shown success as an approach to supporting evidence-based decision-making with little additional cognitive burden. We applied a user-centered approach to incorporate BE "nudges" into a CDS module in two "vanguard" sites utilizing: (1) semi-structured interviews with key informants (n = 8); (2) a design thinking workshop; and (3) semi-structured group interviews with clinicians. In the 133 day development phase at two clinics, the navigator section fired 299 times for 27 unique clinicians. The inbasket refill alert fired 124 times for 22 clinicians. Fifteen prescriptions for metformin were written by 11 clinicians. Our user-centered approach yielded a BE-driven CDS module with relatively high utilization by clinicians. Next steps include the addition of two modules and continued tracking of utilization, and assessment of clinical impact of the module.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsDecision MakingEconomics, BehavioralHumansbehavioral economicsclinical decision supportelectronic health recorduser computer interface

Identifiers

PMID31438106
PMCPMC7063577

What OpenQuestion holds

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LicenceCC BY-NC
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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.