The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.
Mobile phone messaging reminders for attendance at healthcare appointments
Open accessAbstract
BACKGROUND: This review is an update of the original Cochrane review published in July 2012. Missed appointments are a major cause of inefficiency in healthcare delivery with substantial monetary costs for the health system, leading to delays in diagnosis and appropriate treatment. Patients' forgetfulness is one of the main reasons for missed appointments. Patient reminders may help reduce missed appointments. Modes of communicating reminders for appointments to patients include face-to-face communication, postal messages, calls to landlines or mobile phones, and mobile phone messaging. Mobile phone messaging applications, such as Short Message Service (SMS) and Multimedia Message Service (MMS), could provide an important, inexpensive delivery medium for reminders for healthcare appointments. OBJECTIVES: To update our review assessing the effects of mobile phone messaging reminders for attendance at healthcare appointments. Secondary objectives include assessment of costs; health outcomes; patients' and healthcare providers' evaluation of the intervention and perceptions of safety; and possible harms and adverse effects associated with the intervention. SEARCH METHODS: Original searches were run in June 2009. For this update, we searched the Cochrane Central Register of Controlled Trials (CENTRAL,The Cochrane Library 2012, Issue 8), MEDLINE (OvidSP) (January 1993 to August 2012), EMBASE (OvidSP) (January 1993 to August 2012), PsycINFO (OvidSP) (January 1993 to August 2012) and CINAHL (EbscoHOST) (January 1993 to August 2012). We also reviewed grey literature (including trial registers) and reference lists of articles. SELECTION CRITERIA: Randomised controlled trials (RCTs) assessing mobile phone messaging as reminders for healthcare appointments. We only included studies in which it was possible to assess effects of mobile phone messaging independent of other technologies or interventions. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed all studies against the inclusion criteria, with any disagreements resolved by a third review author. Study design features, characteristics of target populations, interventions and controls, and results data were extracted by two review authors and confirmed by a third author. Two authors assessed the risk of bias of the included studies. As the intervention characteristics and outcome measures were similar across included studies, we conducted a meta-analysis to estimate an overall effect size. MAIN RESULTS: We included eight randomised controlled trials involving 6615 participants. Four of these studies were newly identified during this update.We found moderate quality evidence from seven studies (5841 participants) that mobile text message reminders improved the rate of attendance at healthcare appointments compared to no reminders (risk ratio (RR) 1.14 (95% confidence interval (CI) 1.03 to 1.26)). There was also moderate quality evidence from three studies (2509 participants) that mobile text message reminders had a similar impact to phone call reminders (RR 0.99 (95% CI 0.95 to 1.02). Low quality evidence from one study (291 participants) suggests that mobile text message reminders combined with postal reminders improved the rate of attendance at healthcare appointments compared to postal reminders alone (RR 1.10 (95% CI 1.02 to 1.19)). Overall, the attendance to appointment rates were 67.8% for the no reminders group, 78.6% for the mobile phone messaging reminders group and 80.3% for the phone call reminders group. One study reported generally that there were no adverse effects during the study period; none of the studies reported in detail on specific adverse events such as loss of privacy, data misinterpretation, or message delivery failure. Two studies reported that the costs per text message per attendance were respectively 55% and 65% lower than costs per phone call reminder. The studies included in the review did not report on health outcomes or people's perceptions of safety related to receiving reminders by text message. AUTHORS' CONCLUSIONS: Low to moderate quality evidence included in this review shows that mobile phone text messaging reminders increase attendance at healthcare appointments compared to no reminders, or postal reminders.Text messaging reminders were similar to telephone reminders in terms of their effect on attendance rates, and cost less than telephone reminders. However, the included studies were heterogeneous and the quality of the evidence therein is low to moderate. Further, there is a lack of information about health effects, adverse effects and harms, user evaluation of the intervention and user perceptions of its safety. The current evidence therefore still remains insufficient to conclusively inform policy decisions.There is a need for more high-quality randomised trials of mobile phone messaging reminders, that measure not only patients' attendance rates, but also focus on the cost-effectiveness of these inte
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.
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
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008) · BMJ · doi:10.1136/bmj.39489.470347.ad · Cited by 23,305
Pharmacological interventions for somatoform disorders in adults
Kleinstäuber, M., Witthöft, M., Steffanowski, A., van Marwijk, H., Hiller, W., & Lambert, M. J. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010628.pub2 · Cited by 11,335
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766
(2010) · Handbook of Disease Burdens and Quality of Life Measures · doi:10.1007/978-0-387-78665-0_6514 · Cited by 1,385
Kendall, M. G., & Ord, J. K. (1973) · Cited by 1,356
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213
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
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
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732
Research works printed but not linked: 18
- Koury, 2005, Mobile phones and clinic appointments: the start of a beautiful new friendship?, British Journal of Healthcare Computing & Information Management, 22, 18
- Adler, 2007, Health Care Unplugged: The Evolving Role of Wireless Technology
- Atun, 2006, A review of the characteristics and benefits of SMS in delivering healthcare
- Atun, 2006, Analysis of calls to NHS Direct
- Brown, 1999, Correlates of missed appointments in orofacial injury patients, Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology and Endodontics, 87, 405, 10.1016/S1079-2104(99)70238-6 · doi:10.1016/s1079-2104(99)70238-6
- Clarke, 1998, Counting the cost of patients who do not attend nuclear medicine departments, Nuclear Medicine Communications, 19, 193, 10.1097/00006231-199803000-00002 · doi:10.1097/00006231-199803000-00002
- Jongh, 2013, Mobile phone messaging for preventing and managing disease, Cochrane Database of Systematic Reviews
- Department of Health Missed appointments guidance GP Bulletin 2004
- Ellenbogen, 2003, Preference for text message reminders may be greatest in lower socio-economic groups, BMJ, 327, 564
- Fahey, 2003, Reminding patients by text message: text reminders could lead to increased health inequalities, BMJ, 327, 564, 10.1136/bmj.327.7414.564-e · doi:10.1136/bmj.327.7414.564-e
- Gatrad, 1997, Comparison of Asian and English non-attenders at a hospital outpatient department, Archives of Disease in Childhood, 77, 423, 10.1136/adc.77.5.423 · doi:10.1136/adc.77.5.423
- Higgins, 2011, Cochrane Handbook for Systematic Reviews of Interventions Version 5.1 [updated March 2011]
- Kane, 1991, Non-attendance for appointments in an out-patients' x-ray department, Radiography Today, 57, 15
- Kruse, 2009, [Non-attendance at a pediatric outpatient clinic. SMS text messaging improves attendance], Ugeskr Laeger, 171, 1372
- Marquez Contreras, 2004, [Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert)], Atencion Primaria, 34, 399
- Ross, 1995, Why do patients default from follow-up at a genitourinary clinic?: a multivariate analysis, Genitourinary Medicine, 71, 393
- Vernon, 2003, Families in poor socio-economic areas and mobile phones, BMJ, 327, 564
- Yoon, 2005, Factors associated with non-attendance at pediatric subspecialty asthma clinics, Journal of Asthma, 42, 555, 10.1080/02770900500215798 · doi:10.1080/02770900500215798
Cited by
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
Scaling Up mHealth: Where Is the Evidence?
Tomlinson, M., Rotheram-Borus, M. J., Swartz, L., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001382 · Cited by 673
Mobile phone messaging for facilitating self-management of long-term illnesses
de Jongh, T., Gurol-Urganci, I., Vodopivec-Jamsek, V., Car, J., & Atun, R. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007459.pub2 · Cited by 599
Self-citationBeratarrechea, A., Lee, A. G., Willner, J. M., Jahangir, E., Ciapponi, A., & Rubinstein, A. (2014) · Telemedicine and e-Health · doi:10.1089/tmj.2012.0328 · Cited by 403
Metadata
- Authors
- Gurol-Urganci, I., de Jongh, T., Vodopivec-Jamsek, V., Atun, R., & Car, J.
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2013-12-05
- Volume
- 2013
- Issue
- 12
- Pages
- CD007458-CD007458
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- OpenAlex
- W2168592380
- Cited by
- 594
- References
- 115
- FWCI
- 87.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mobile phone messaging reminders for attendance at healthcare appointments. https://app.cochat.ai/papers/10.1002/14651858.cd007458.pub3
- The paper
- Gurol-Urganci, I., de Jongh, T., Vodopivec-Jamsek, V., Atun, R., & Car, J. (2013). Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.cd007458.pub3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.