Cited by 231Mobile Health and mHealth ApplicationsHealthcare Operations and Scheduling OptimizationHealth, Technology, Consumer Behavior

Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: A randomized controlled trial

Open access
Chen, Zhou-wen, Fang, Li-zheng, Chen, Li-ying, Dai, Hong-lei·2008·Journal of Zhejiang University SCIENCE B

Abstract

OBJECTIVE: To compare the efficacy of a short messaging service (SMS) text messaging and phone reminder to improve attendance rates at a health promotion center. METHODS: A total of 1 859 participants who had scheduled appointments in the health promotion center of our hospital from April 2007 to May 2007 were enrolled in the study and randomly assigned into 3 groups: control (no reminder) group, SMS text messaging reminder group and telephone reminder group. Attendance rates and costs of interventions were collected. RESULTS: A total of 1848 participants were eligible for analysis. Attendance rates of control, SMS and telephone groups were 80.5%, 87.5% and 88.3%, respectively. The attendance rates were significantly higher in SMS and telephone groups than that in the control group, with odds ratio 1.698, 95% confidence interval 1.224 to 2.316, P=0.001 in the SMS group, and odds ratio 1.829, 95% confidence interval 1.333 to 2.509, P<0.001 in the telephone group. However, there was no difference between the SMS group and the telephone group (P=0.670). The cost effectiveness analysis showed that the cost per attendance for the SMS group (0.31 Yuan) was significantly lower than that for the telephone group (0.48 Yuan). CONCLUSION: SMS and telephone are effective reminders for improving attendance rate at a health promotion center. SMS reminder may be more cost-effective compared with the telephone reminder.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1631/jzus.b071464

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chen, Z.-W., Fang, L.-Z., Chen, L.-Y., & Dai, H.-L.
Affiliations
Sir Run Run Shaw Hospital (CN)
Venue
Journal of Zhejiang University SCIENCE B
Published
2008-01
Volume
9
Issue
1
Pages
34-38
ISSN
  • 1673-1581 (ISSN-L)
  • 1862-1783
OpenAlex
W2094610961
Cited by
231
References
22
Citations by year
2026: 7 · 2025: 4 · 2024: 5 · 2023: 8 · 2022: 13 · 2021: 14 · 2020: 12 · 2019: 15 · 2018: 21 · 2017: 12 · 2016: 17 · 2015: 11 · 2014: 23 · 2013: 22 · 2012: 18
FWCI
18.64
Type
journal article
Language
en
Open access
Locations
  • Journal of Zhejiang University SCIENCE B (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
safety management systems, telephone reminders, appointment attendance, health promotion centers, cost-effectiveness
MeSH terms
Adult, Aged, Female, Health Promotion, Humans, Male, Middle Aged, Patient Compliance, Telephone, Reminder Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review