Evidence map›Paper›PMID 26852337›Full record

SynthesisJournal of medical systems2016

The Effectiveness of SMS Reminders on Appointment Attendance: a Meta-Analysis.

Nasim Boksmati, Kerryn Butler-Henderson, Kevin Anderson, Tony Sahama

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06114602 (Impact Analysis of Email Reminders on No-Show Rates in Scheduled Ambulatory Appointments in the Urology Department of Hospital Italiano de Buenos Aires), which is not on this map. Cited by 44 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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.

NCT06114602 unknown statusnot on this mapstarted 2022, after this paper: background citation

Impact Analysis of Email Reminders on No-Show Rates in Scheduled Ambulatory Appointments in the Urology Department of Hospital Italiano de Buenos Aires

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2022 to 2024Enrolled1,892ConditionsNo-Show Patients, Reminder SystemsArmsE-Mail Reminder
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023
    Pooled it
  4. Pooled it
  5. Which patients miss appointments with general practice and the reasons why: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
    Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Missed Short-term Follow-up After Arthroscopic Rotator Cuff Surgery: Analysis of Surgical and Demographic Factors.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Article
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

4 authors.

Nasim BoksmatiGeneral Medicine, Central Coast Local Health District, Gosford, NSW, Australia. nassimboksmati@gmail.com.
Kerryn Butler-HendersonHealth Information Management, Australian Institute of Health Service Management, Tasmanian School of Business and Economics, University of Tasmania, Locked Bag 1317, Launceston, TAS, 7250, Australia. Kerryn.Butlerhenderson@utas.edu.au.ORCID http://orcid.org/0000-0002-6082-2108
Kevin AndersonSchool of Pharmacy, Curtin University, Bentley, WA, Australia. kevin.anderson2@postgrad.curtin.edu.au.
Tony SahamaInformation Security Discipline, School of Electrical Engineering and Computer Science, Faculty of Science and Engineering, Queensland University of Technology, Brisbane, QLD, Australia. t.sahama@qut.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the efficacy of short message service (SMS) reminders in health care appointment attendance. 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. 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 h 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. 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. 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 5 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.

Indexed as

Appointments and SchedulesText MessagingAge FactorsHumansPatient ComplianceReminder SystemsTime FactorsAppointmentEfficacyMeta-analysisReminder systemsSMS

Identifiers

PMID26852337

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.