Evidence map›Paper›PMID 37872612›Full record

SynthesisBMC health services research2023

Behavioural economic interventions to reduce health care appointment non-attendance: a systematic review and meta-analysis.

Kalin Werner, Sara Abdulrahman Alsuhaibani, Reem F Alsukait, Reem Alshehri, Christopher H Herbst, Mohammed Alhajji, Tracy Kuo Lin

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.9field-weighted citation impact, top 2% 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.

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

18 citing papers in PubMed, 22 citations in OpenAlex.

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  8. Prevalence and Drivers of Missed Healthcare Appointments in Poland: Insights From a 2025 Survey.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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 5 institutions in 2 countries.

Kalin WernerInstitute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA. kalin.werner@gmail.com.ORCID http://orcid.org/0000-0001-7759-5397
Sara Abdulrahman AlsuhaibaniNudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.
Reem F AlsukaitCommunity Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, KSA, Saudi Arabia.
Reem AlshehriNudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.
Christopher H HerbstHealth, Nutrition and Population Global Practice, The World Bank, Washington, D.C, USA.
Mohammed AlhajjiNudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.
Tracy Kuo LinInstitute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.
University of California, San Francisco · USWorld Bank · USAlfaisal University · SAMinistry of Health · SAPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppointment non-attendance - often referred to as "missed appointments", "patient no-show", or "did not attend (DNA)" - causes volatility in health systems around the world. Of the different approaches that can be adopted to reduce patient non-attendance, behavioural economics-oriented mechanisms (i.e., psychological, cognitive, emotional, and social factors that may impact individual decisions) are reasoned to be better suited in such contexts - where the need is to persuade, nudge, and/ or incentivize patients to honour their scheduled appointment. The aim of this systematic literature review is to identify and summarize the published evidence on the use and effectiveness of behavioural economic interventions to reduce no-shows for health care appointments.

methodsWe systematically searched four databases (PubMed/Medline, Embase, Scopus, and Web of Science) for published and grey literature on behavioural economic strategies to reduce no-shows for health care appointments. Eligible studies met four criteria for inclusion; they were (1) available in English, Spanish, or French, (2) assessed behavioural economics interventions, (3) objectively measured a behavioural outcome (as opposed to attitudes or preferences), and (4) used a randomized and controlled or quasi-experimental study design.

resultsOur initial search of the five databases identified 1,225 articles. After screening studies for inclusion criteria and assessing risk of bias, 61 studies were included in our final analysis. Data was extracted using a predefined 19-item extraction matrix. All studies assessed ambulatory or outpatient care services, although a variety of hospital departments or appointment types. The most common behaviour change intervention assessed was the use of reminders (n = 56). Results were mixed regarding the most effective methods of delivering reminders. There is significant evidence supporting the effectiveness of reminders (either by SMS, telephone, or mail) across various settings. However, there is a lack of evidence regarding alternative interventions and efforts to address other heuristics, leaving a majority of behavioural economic approaches unused and unassessed.

conclusionThe studies in our review reflect a lack of diversity in intervention approaches but point to the effectiveness of reminder systems in reducing no-show rates across a variety of medical departments. We recommend future studies to test alternative behavioural economic interventions that have not been used, tested, and/or published before.

Indexed as

Economics, BehavioralTelephoneBehavior TherapyHealth FacilitiesHumansPatient ComplianceRandomized Controlled Trials as TopicAttendance ratesBehavioural economicsNo-show ratesRemindersSystematic reviews

Identifiers

PMID37872612
PMCPMC10594857
OpenAlexW4387875044

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.