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


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
23 Oct 2023
Historique:
received: 31 08 2022
accepted: 24 09 2023
medline: 27 10 2023
pubmed: 24 10 2023
entrez: 23 10 2023
Statut: epublish

Résumé

Appointment 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. We 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. Our 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. The 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.

Sections du résumé

BACKGROUND BACKGROUND
Appointment 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.
METHODS METHODS
We 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.
RESULTS RESULTS
Our 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.
CONCLUSION CONCLUSIONS
The 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.

Identifiants

pubmed: 37872612
doi: 10.1186/s12913-023-10059-9
pii: 10.1186/s12913-023-10059-9
pmc: PMC10594857
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1136

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Kalin Werner (K)

Institute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA. kalin.werner@gmail.com.

Sara Abdulrahman Alsuhaibani (SA)

Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.
Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, KSA, Saudi Arabia.

Reem F Alsukait (RF)

Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, KSA, Saudi Arabia.
Health, Nutrition and Population Global Practice, The World Bank, Washington, D.C, USA.

Reem Alshehri (R)

Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.

Christopher H Herbst (CH)

Health, Nutrition and Population Global Practice, The World Bank, Washington, D.C, USA.

Mohammed Alhajji (M)

Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia.
College of Medicine, Alfaisal University, Riyadh, KSA, Saudi Arabia.

Tracy Kuo Lin (TK)

Institute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.

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