The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: A randomized controlled trial
Open accessAbstract
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.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Although there was no significant difference in attendance rates between telephone and SMS groups, both modalities were more effective compared with no reminders.”
From The Empirical Foundations of Telemedicine Interventions in Primary Care (2016) · cites this paper as [88]
The cited source says what the claim attributes to it.
In the citing paper
“However, the cost of SMS was significantly lower than that for the telephone group.”
From The Empirical Foundations of Telemedicine Interventions in Primary Care (2016) · cites this paper as [88]
The cited source says what the claim attributes to it.
In the citing paper
“Attendance rates of SMS, telephone, and controls were 87.5%, 88.3%, and 80.5%, respectively.”
From The Empirical Foundations of Telemedicine Interventions in Primary Care (2016) · cites this paper as [88]
In the citing paper
“It is important to note, however, that only two studies used randomized controls [58, 59]; the others used historical or nonrandomized controls.”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [59]
In the citing paper
“Additionally, the three studies that compared SMS to traditional phone call reminders found no difference between these two modalities [57–59].”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [59]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Further evaluation of the Dutch supervision system for suicides of mental health care users
(2013) · EUR Research Repository (Erasmus University Rotterdam) · doi:10.1176/appi · Cited by 1,030
The use of text messaging to improve attendance in primary care: a randomized controlled trial
Leong, K. C., Chen, W. S., Leong, K. W., Mastura, I., Mimi, O., Sheikh, M. A., Zailinawati, A. H., Ng, C. J., Phua, K. L., & Teng, C. L. (2006) · Family Practice · doi:10.1093/fampra/cml044 · Cited by 291
Neal, R. D., Hussain‐Gambles, M., Allgar, V. L., Lawlor, D. A., & Dempsey, O. (2005) · BMC Family Practice · doi:10.1186/1471-2296-6-47 · Cited by 200
SMS text messaging improves outpatient attendance
Downer, S. R., Meara, J. G., Costa, A. C. D., & Sethuraman, K. (2006) · Australian Health Review · doi:10.1071/ah060389 · Cited by 189
Murdock, A., Rodgers, C., Lindsay, H., & Tham, T. (2002) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.95.6.284 · Cited by 175
Martin, C., Perfect, T., & Mantle, G. (2005) · Family Practice · doi:10.1093/fampra/cmi076 · Cited by 130
Geraghty, M., Glynn, F. J., Amin, M., & Kinsella, J. (2007) · The Journal of Laryngology & Otology · doi:10.1017/s0022215107007906 · Cited by 124
May, H., & Hearn, G. (2005) · International Journal of Cultural Studies · doi:10.1177/1367877905052417 · Cited by 101
Can, S., Macfarlane, T. V., & O'Brien, K. D. (2003) · BDJ · doi:10.1038/sj.bdj.4810443 · Cited by 71
SMS Reminders in the UK National Health Service
Milne, R. G., Horne, M. R., & Torsney, B. (2006) · Health Care Management Review · doi:10.1097/00004010-200604000-00006 · Cited by 70
Cited by
Sorted by citations
The impact of mHealth interventions: systematic review of systematic reviews
Marcolino, M. S., Oliveira, J. A. Q., D'Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., & Novillo-Ortiz, D. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8873 · Cited by 1,163
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001363 · Cited by 1,187
Health behavior models in the age of mobile interventions: are our theories up to the task?
Riley, W. T., Rivera, D. E., Atienza, A. A., Nilsen, W., Allison, S. M., & Mermelstein, R. (2011) · Translational Behavioral Medicine · doi:10.1007/s13142-011-0021-7 · Cited by 978
Healthcare via Cell Phones: A Systematic Review
Krishna, S., Boren, S. A., & Balas, E. A. (2009) · Telemedicine and e-Health · doi:10.1089/tmj.2008.0099 · Cited by 882
Mobile phone messaging reminders for attendance at healthcare appointments
Gurol‐Urganci, I., de Jongh, T. E., Vodopivec‐Jamšek, V., Atun, R. A., & Car, J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007458.pub3 · Cited by 623
Metadata
- 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
- Publisher
- Zhejiang University Press
- Published
- 2008-01
- Volume
- 9
- Issue
- 1
- Pages
- 34-38
- ISSN
- 1673-1581 (ISSN-L)
- 1862-1783
- PMC
- PMC2170466
- OpenAlex
- W2094610961
- Semantic Scholar
- e7bbba1a0242df96f5613e7b941f848cd64922a4
- 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
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- 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
- Social Sciences › Decision Sciences › Management Science and Operations Research › 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