Evidence map›Paper›PMID 32909229›Full record

Trial reportJournal of general internal medicine2021

Enhancing Usability of Appointment Reminders: Qualitative Interviews of Patients Receiving Care in the Veterans Health Administration.

Alan R Teo, Emily E Metcalf, Wynn Strange, Aaron A Call, Anaïs Tuepker, Steve K Dobscha, Peter J Kaboli

Registry-linked trialOpen access · bronzeAbstract readPragmatic Clinical Trial
In one paragraph

Trial report in Journal of general internal medicine, 2021. 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 17 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

7 authors at 4 institutions in 1 country.

Alan R TeoVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA. teoa@ohsu.edu.ORCID http://orcid.org/0000-0002-2393-088X
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.
Aaron A CallVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA.
Anaïs TuepkerVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA.
Steve K DobschaVA Portland Health Care System, HSR&D Center to Improve Veteran Involvement in Care (CIVIC), Portland, OR, USA.
Peter J KaboliComprehensive Access and Delivery Research and Evaluation Center, Iowa City Veterans Affairs Healthcare System, Iowa City, USA.
VA Portland Health Care System · USOregon Health & Science University · USPortland State University · USUniversity of Iowa · US

Funding

HSRD VA I01 HX002449VA IIR 17-134
6 · The paper itself

Abstract

backgroundNo-shows are a persistent and costly problem in all healthcare systems. Because forgetting is a common cause of no-shows, appointment reminders are widely used. However, qualitative research examining appointment reminders and how to improve them is lacking.

objectiveTo understand how patients experience appointment reminders as part of intervention development for a pragmatic trial of enhanced appointment reminders.

designQualitative content analysis

participantsTwenty-seven patients at a single Department of Veterans Affairs hospital and its satellite clinics APPROACH: We conducted five waves of interviews using rapid qualitative analysis, in each wave continuing to ask veterans about their experience of reminders. We double-coded all interviews, used deductive and inductive content analysis to identify themes, and selected quotations that exemplified three themes (limitations, strategies, recommendations). KEY

resultsInterviews showed four limitations on the usability of current appointment reminders which may contribute to no-shows: (1) excessive information within reminders; (2) frustrating telephone systems when calling in response to an appointment reminder; (3) missing or cryptic information about clinic logistics; and (4) reminder fatigue. Patients who were successful at keeping appointments often used specific strategies to optimize the usability of reminders, including (1) using a calendar; (2) heightening visibility; (3) piggybacking; and (4) combining strategies. Our recommendations to enhance reminders are as follows: (1) mix up their content and format; (2) keep them short and simple; (3) add a personal touch; (4) include specifics on clinic location and contact information; (5) time reminders based on the mode of delivery; and (6) hand over control of reminders to patients.

conclusionsAppointment reminders are vital to prevent no-shows, but their usability is not optimized for patients. There is potential for healthcare systems to modify several aspects of the content, timing, and delivery of appointment reminders to be more effective and patient-centered.

Indexed as

VeteransVeterans HealthAmbulatory Care FacilitiesAppointments and SchedulesHumansPatient ComplianceReminder Systemsaccess to caremilitary veteransmissed appointmentsno-showsreminder

Identifiers

PMID32909229
PMCPMC7859164
OpenAlexW3084505880

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.