The effectiveness of SMS reminders on appointment attendance: A meta-analysis

Boksmati, Nasim, Butler-Henderson, Kerryn, Anderson, Kevin, & Sahama, Tony (2016) The effectiveness of SMS reminders on appointment attendance: A meta-analysis. Journal of Medical Systems, 40, p. 90.

[img] Table 3 (PDF 52kB)
Supplemental Material.
Administrators only | Request a copy from author

View at publisher

Abstract

Objective

To identify the efficacy of short message service (SMS) reminders in health care appointment attendance.

Materials and Methods

A systematic review was undertaken to identify studies published between 2005 and 2015 that compared the attendance rates of patients receiving SMS reminders compared to patients not receiving a reminder. Each article was examined for information regarding the study design, sample size, population demographics and intervention methods. A meta-analysis was used to calculate a pooled estimate odds ratio.

Results

Twenty-eight (28) studies were included in the review, including 13 (46%) randomized controlled trials. The pooled odds ratio of the randomized control trials was 1.62 (1.35 – 1.94). Half of the studies reviewed sent the reminder within 48 hour prior to the appointment time, yet no significant subgroups differences with respect to participant age, SMS timing, rate or type, setting or specialty was detectable.

Discussion

All studies, except one with a small sample size, demonstrated a positive OR, indicating SMS reminders were an effective means of improving appointment attendance. There was no significant difference in OR when controlling for when the SMS was sent, the frequency of the reminders or the content of the reminder.

Conclusion

SMS appointment reminders are an effective and operative method in improving appointment attendance in a health care setting and this effectiveness has improved over the past five years. Further research is required to identify the optimal SMS reminder timing and frequency, specifically in relation to the length of time since the appointment.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 92530
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: appointment, efficacy, meta-analysis, reminder systems, SMS
DOI: 10.1007/s10916-016-0452-2
ISSN: 1573-689X
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 Springer
Deposited On: 02 Feb 2016 23:53
Last Modified: 10 Jun 2016 10:58

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page