Evidence map›Paper›PMID 34756639›Full record

ArticlePatient education and counseling2022

Applying user-centered design in the development of nudges for a pragmatic trial to reduce no-shows among veterans.

Brian J Zikmund-Fisher, Anaïs Tuepker, Emily E Metcalf, Wynn Strange, Alan R Teo

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Patient education and counseling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03850431 (Using Behavioral Economics to Enhance Appointment Reminders and Reduce Missed Visits), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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.

NCT03850431 nacompletednot on this map

Using Behavioral Economics to Enhance Appointment Reminders and Reduce Missed Visits

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2019 to 2021Enrolled34,516ConditionsAppointment RemindersArmsSocial Norms + Behavioral Instructions, Caring + Consequences for Others + Behavioral Instructions, Caring + Consequences for Self + Behavioral Instructions, Caring + Consequences for Others + Consequences for Self + Social Norms + Behavioral Instructions
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 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

5 authors at 3 institutions in 1 country.

Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, USA. Electronic address: bzikmund@umich.edu.
Anaïs TuepkerVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA; Division of General Internal Medicine and Geriatrics, Oregon Health & Science University, Portland, OR, USA.
Emily E MetcalfVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA.
Wynn StrangeVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA.
Alan R TeoVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA; Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA; School of Public Health, Oregon Health & Science University and Portland State University, Portland, OR, USA.
VA Portland Health Care System · USPortland State University · USUniversity of Michigan–Ann Arbor · US

Funding

Using Behavioral Economics to Enhance Appointment Reminders and Reduce Missed VisitsI01HX002449 · VA · PORTLAND VA MEDICAL CENTER · PI TEO, ALAN · 2019 to 2021
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HSRD VA I01 HX002449
6 · The paper itself

Abstract

objectiveTo incorporate user-centered design processes into the refinement of nudges designed to reduce no-shows among healthcare appointments for military veterans in the Veterans Health Administration (VA).

methodsWe developed candidate nudges as brief messages based on four broad concepts in behavioral science. We then conducted iterative waves of multi-stage interviews (N = 27) that included a pile sorting task, a "think-aloud" review of each message, and prototype letter reviews. Rapid consensus analysis of each wave's feedback iteratively refined message language.

resultsVeterans rejected several theoretically plausible messages focusing on avoiding the burden of rescheduling missed appointments or the monetary cost of no-shows. Participants suggested framing calling to cancel an appointment as helping other veterans and emphasized a new motivational theme: expressing personal concern for the veteran.

conclusionUse of iterative UCD methods allowed for early identification of both messages inappropriate for veterans and new veteran-generated nudges around non-judgmental validation that could be incorporated in the design of our pragmatic trial. PRACTICE IMPLICATIONS: Rapid team-based qualitative analysis, iterative material design, and space in the study design to incorporate entirely new insights from participants into study materials are all approaches that can improve communications of what matters most to a specific population.

Indexed as

VeteransAppointments and SchedulesHumansPragmatic Clinical Trials as TopicUser-Centered Designappointment attendanceBehavioral Sciencenudgeuser-centered design

Identifiers

PMID34756639
PMCPMC9033881
OpenAlexW3209754796

What OpenQuestion holds

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Registered trials

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.