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Referencias

References to studies included in this review

Chen 2008 {published data only}

Chen ZW, Fang LZ, Chen LY, Dai HL. Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: A randomized controlled trial. Journal of Zhejiang University: Science B 2008;9(1):34‐8.

Fairhurst 2008 {published data only}

Fairhurst K, Sheikh A. Texting appointment reminders to repeated non‐attenders in primary care: randomised controlled study. Quality and Safety in Health Care 2008;17(5):373‐6.

Koury 2005 {published data only}

Koury E, Faris C. Mobile phones and clinic appointments: the start of a beautiful new friendship?. British Journal of Healthcare Computing & Information Management 2005;22(8):18‐20.

Leong 2006 {published data only}

Leong KC, Chen WS, Leong KW, Mastura I, Mimi O, Sheikh MA, et al. The use of text messaging to improve attendance in primary care: a randomized controlled trial. Family Practice 2006;23(6):699‐705.

Liew 2009 {published data only}

Liew SM, Tong SF, Lee VK, Ng CJ, Leong KC, Teng CL. Text messaging reminders to reduce non‐attendance in chronic disease follow‐up: a clinical trial. The British Journal of General Practice 2009;59(569):916‐20. [PUBMED: 19712544]

Lin 2012 {published data only}

Lin H, Chen W, Luo L, Congdon N, Zhang X, Zhong X, et al. Effectiveness of a short message reminder in increasing compliance with pediatric cataract treatment: a randomized trial. Ophthalmology 2012;119(12):2463‐70. [PUBMED: 22921386]

Odeny 2012 {published data only}

Odeny TA, Bailey RC, Bukusi EA, Simoni JM, Tapia KA, Yuhas K, et al. Text messaging to improve attendance at post‐operative clinic visits after adult male circumcision for HIV prevention: a randomized controlled trial. PloS One 2012;7(9):e43832. [PUBMED: 22957034]

Taylor 2012 {published data only}

Taylor NF, Bottrell J, Lawler K, Benjamin D. Mobile telephone short message service reminders can reduce nonattendance in physical therapy outpatient clinics: a randomized controlled trial. Archives of Physical Medicine and Rehabilitation 2012;93(1):21‐6. [PUBMED: 22000821]

References to studies excluded from this review

Bos 2005 {published data only}

Bos A, Hoogstraten J, Prahl‐Andersen B. Failed appointments in an orthodontic clinic. American Journal of Orthodontics and Dentofacial Orthopedics 2005;127(3):355‐7.

Bourne 2011 {published data only}

Bourne C, Knight V, Guy R, Wand H, Lu H, McNulty A. Short message service reminder intervention doubles sexually transmitted infection/HIV re‐testing rates among men who have sex with men. Sexually Transmitted Infections 2011;87(3):229‐31. [DOI: 10.1136; PUBMED: 21296796]

Fischer 2012 {published data only}

Fischer HH, Moore SL, Ginosar D, Davidson AJ, Rice‐Peterson CM, Durfee MJ, et al. Care by cell phone: text messaging for chronic disease management. American Journal of Managed Care 2012;18(2):e42‐e57.

Fung 2012 {unpublished data only}

Fung MK, Briggs B, Frascoia A, Petrov‐Kondatov V, Rivard S, Thai P, et al. The effects of text message reminder on blood donor show rate. The University of Vermont College of Medicine (Poster)2012.

Steenhoff 2012 {unpublished data only}

Steenhoff AP, Thompson J, Gabaitiri L, Cary MS, Steele KT, Mayisela S, et al. A pilot study of cellular phone SMS reminders to improve HIV visit and medication adherence at Independence Surgery Clinic, Gaborone, Botswana. Botswana‐UPenn Partnership (poster)2012.

Adler 2007

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Al Faris 2002

Al Faris EA, Abdulghani HM, Mahdi AH, Salih MA, Al Kordi AG. Compliance with appointments and medications in a pediatric neurology clinic at a University Hospital in Riyadh, Saudi Arabia. Saudi Medical Journal 2002;23(8):969‐74.

Atun 2006

Atun RA, Sittampalam S. A review of the characteristics and benefits of SMS in delivering healthcare. In: Atun RA editor(s). The role of mobile phones in increasing accessibility and efficiency in healthcare. Vodafone Group Plc, 2006.

Atun 2006b

Atun RA, Gurol‐Urganci I. Analysis of calls to NHS Direct. In: Atun RA editor(s). The role of mobile phones in increasing accessibility and efficiency in healthcare. Vodafone Group Plc., 2006.

Bauer 2003

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Campbell 2000

Campbell JD, Chez RA, Queen T, Barcelo A, Patron E. The no‐show rate in a high‐risk obstetric clinic. Journal of Women's Health & Gender‐Based Medicine 2000;9(8):891‐5.

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Can S, Macfarlane T, O'Brien KD. The use of postal reminders to reduce non‐attendance at an orthodontic clinic: A randomised controlled trial. British Dental Journal 2003;195(4):199‐201.

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Chung 2004

Chung JW, Wong TK, Yeung AC. Non‐attendance at an orthopaedic and trauma specialist outpatient department of a regional hospital. Journal of Nursing Management 2004;12(5):362‐7.

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Clarke EA, Notghi A, Harding LK. Counting the cost of patients who do not attend nuclear medicine departments. Nuclear Medicine Communications 1998;19(3):193‐7.

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de Jongh T, Gurol‐Urganci I, Vodopivec‐Jamsek V, Car J, Atun R. Mobile phone messaging for facilitating self‐management of long‐term illnesses. Cochrane Database of Systematic Reviews 2012, Issue 12. [DOI: 10.1002/14651858.CD007459]

de Jongh in preparation

de Jongh T, Gurol‐Urganci I, Vodopivec‐Jamsek V, Car J, Atun R, Javad S. Mobile phone messaging for preventing and managing disease. Cochrane Database of Systematic Reviews 2013, Issue [in preparation].

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Free 2013a

Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile‐health technology‐based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Medicine 2013;10(1):e1001362. [DOI: 10.1371/journal.pmed.1001362]

Free 2013b

Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile‐health technologies to improve health care service delivery processes: a systematic review and meta‐analysis. PLoS Medicine 2013;10(1):e1001363. [DOI: 10.1371/journal.pmed.1001363]

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Gatrad AR. Comparison of Asian and English non‐attenders at a hospital outpatient department. Archives of Disease in Childhood 1997;77(5):423‐6.

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George A, Rubin G. Non‐attendance in general practice: a systematic review and its implications for access to primary health care. Family Practice 2003;20(2):178‐84.

Geraghty 2008

Geraghty M, Glynn F, Amin M, Kinsella J. Patient mobile telephone 'text' reminder: A novel way to reduce non‐attendance at the ENT out‐patient clinic. Journal of Laryngology and Otology 2008;122(3):296‐8.

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Gurol‐Urganci 2012

Gurol‐Urganci I, de Jongh T, Vodopivec‐Jamsek V, Car J, Atun R. Mobile phone messaging for communicating results of medical investigations. Cochrane Database of Systematic Reviews 2012, Issue 6. [DOI: 10.1002/14651858.CD007456.pub2]

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Guy R, Hocking J, Wand H, Stott S, Ali H, Kaldor J. How effective are short message service reminders at increasing clinic attendance? A meta‐analysis and systematic review. Health Services Research 2012;47(2):614‐32. [DOI: 10.1111/j.1475‐6773.2011.01342.x]

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Hamilton 2002

Hamilton W, Round A, Sharp D. Patient, hospital, and general practitioner characteristics associated with non‐attendance: a cohort study. British Journal of General Practice 2002;52(477):317‐9.

Hashim 2001

Hashim MJ, Franks P, Fiscella K. Effectiveness of telephone reminders in improving rate of appointments kept at an outpatient clinic: a randomized controlled trial. Journal of the American Board of Family Medicine 2001;14(3):193‐6.

Herrick 1994

Herrick J, Gilhooly ML, Geddes DA. Non‐attendance at periodontal clinics: forgetting and administrative failure. Journal of Dentistry 1994;22(5):307‐9.

Higgins 2003

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Higgins 2011

Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1 [updated March 2011]. The Cochrane Collaboration. Available from www.cochrane‐handbook.org, 2011.

Hon 2002

Hon KL, Leung TF, Ma KC. Issues regarding nonattendance at a paediatric dermatology centre. Clinical and Experimental Dermatology 2002;27(8):711‐3.

Hon 2005

Hon KL, Leung TF, Wong Y, Ma KC, Fok TF. Reasons for new referral non‐attendance at a pediatric dermatology center: a telephone survey. Journal of Dermatological Treatment 2005;16(2):113‐6.

Hull 2002

Hull AM, Alexander DA, Morrison F, McKinnon JS. A waste of time: non‐attendance at out‐patient clinics in a Scottish NHS Trust. Health Bulletin 2002;60(1):62‐9.

Husain‐Gambles 2004

Husain‐Gambles M, Neal RD, Dempsey O, Lawlor DA, Hodgson J. Missed appointments in primary care: questionnaire and focus group study of health professionals. British Journal of General Practice 2004;54(499):108‐13.

Iben 2000

Iben P, Kanellis MJ, Warren J. Appointment‐keeping behavior of Medicaid‐enrolled pediatric dental patients in eastern Iowa. Pediatric Dentistry 2000;22(4):325‐9.

ITU 2012a

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ITU. Key Global Telecom Indicators for the World Telecommunication Service Sector. http://www.itu.int/ITU‐D/ict/statistics/at_glance/keytelecom.html Accessed 18 Jan 2013.

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Kane K. Non‐attendance for appointments in an out‐patients' x‐ray department. Radiography Today 1991;57(653):15‐9.

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Kelly H. OMG, the text message turns 20. But has SMS peaked?. http://edition.cnn.com/2012/12/03/tech/mobile/sms‐text‐message‐20/index.html Accessed 18 Jan 2013.

Killaspy 2000

Killaspy H, Banerjee S, King M, Lloyd M. Prospective controlled study of psychiatric out‐patient non‐attendance. Characteristics and outcome. British Journal of Psychiatry 2000;176:160‐5.

King 1995

King A, David D, Jones HS, O'Brien C. Factors affecting non‐attendance in an ophthalmic outpatient department. Journal of the Royal Society of Medicine 1995;88(2):88‐90.

Koshy 2008

Koshy E, Car J, Majeed A. Effectiveness of mobile‐phone short message service (SMS) reminders for ophthalmology outpatient appointments: Observational study. BMC Ophthalmology 2008;8(9):‐.

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Kwon HS, Cho JH, Kim HS, Lee JH, Song BR, Oh JA, et al. Development of web‐based diabetic patient management system using short message service (SMS). Diabetes Research and Clinical Practice 2004;66 Suppl 1:S133‐7.

Lasser 2005

Lasser KE, Mintzer IL, Lambert A, Cabral H, Bor DH. Missed appointment rates in primary care: the importance of site of care. Journal of Health Care for the Poor and Underserved 2005;16(3):475‐86.

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Majeroni 1996

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References to other published versions of this review

Car 2008b

Car J, Gurol‐Urganci I, de Jongh T, Vodopivec‐Jamsek V, Atun R. Mobile phone messaging reminders for attendance at scheduled healthcare appointments. Cochrane Database of Systematic Reviews 2008, Issue 4. [DOI: 10.1002/14651858.CD007458]

Car 2012

Car J, Gurol‐Urganci I, de Jongh T, Vodopivec‐Jamsek V, Atun R. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database of Systematic Reviews 2012, Issue 7. [DOI: 10.1002/14651858.CD007458.pub2]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Chen 2008

Methods

Study design: randomised controlled trial (from April to May 2007)

Participants

China, Hospital Health Promotion Centre. 1891 adults (mean age 50.6 years, 57.6% male) who had scheduled appointments within 72 hours to 2 months from recruitment. 32 adults who failed to provide telephone numbers were excluded.

Interventions

SMS group: Participants received text message reminders delivered through a mobile phone SMS, 72 hrs before appointment. The SMS was automatically sent through GSM model linked to the electronic health record system. The text message included participant's name and appointment details.

Telephone group: Participants were called by the office medical assistants from the health promotion centre, 72 hrs before appointment. A maximum of three reminders were attempted in the telephone group. If the phone was unanswered, the participant would be called on their mobile phone number. Call content was the same as the SMS content.

Control group: No reminders.

Outcomes

Attendance rate at the healthcare appointment.

Costs of reminders.

Funding

Not specified

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer generated random numbers.

Allocation concealment (selection bias)

Unclear risk

Not stated.

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

No information of blinding of researchers was provided. Blinding of participants was not possible due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

11 participants could not be contacted by telephone or SMS as they changed their numbers or there was incorrect recording of the phone numbers by the medical assistant. The numbers of those lost‐to‐follow up are small in comparison to sample size.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available, however, the number of possible outcomes seems restricted to those reported.

Other bias

Low risk

Control and intervention groups were similar at baseline for age and gender. No other apparent source of bias was identified.

Fairhurst 2008

Methods

Study design: randomised controlled trial (from August 2004 to February 2005).

Participants

Scotland. Inner city general practice. 415 appointments made by 173 participants who had failed to attend two or more routine appointments in the preceding year. Same day appointments and participants with no mobile phones numbers were excluded.

Interventions

SMS group: Participants received text message reminders delivered through a mobile phone SMS. The text message was sent between 8:00‐9:00 on the morning preceding afternoon appointments, and between 16:00‐17:00 on the afternoon preceding morning appointments. Texts were sent from a PC using www.vodafone.net.

Control group: No reminders.

Outcomes

Non‐attendance rate.

Funding

This study was funded by the Lothian and Borders Primary Care Research Network.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A random sequence of labels. The randomisation sequence was based on a table of random numbers.

Allocation concealment (selection bias)

Low risk

"[S]ealed opaque numbered envelopes. One of two trained designated receptionists randomised each appointment by sequentially opening the sealed envelopes and allocating the appointment to the intervention group or the control group as indicated.

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

No information of blinding of researchers was provided. Blinding of participants was not possible due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Three appointments had to be excluded due to incorrect recording of the appointment date. 25 out of 191 text messages in the intervention group were not successfully delivered.

Selective reporting (reporting bias)

Low risk

Protocol is available and the study's pre‐specified outcomes have been reported.

Other bias

High risk

Groups were comparable at baseline for age and gender. However, as the unit of analysis is the appointment rather than the individual participant, who may have more than one appointment in the study period, there is potential clustering of data.

Koury 2005

Methods

Study design: randomised controlled trial (from November 2003 to June 2004).

Participants

UK. Six randomly‐selected ear, nose and throat (ENT) clinics in one district general hospital. 441 participants who were scheduled to attend the selected clinics were eligible. Participants who could not be contacted by telephone, who were not familiar with SMS and those not wishing to participate in the study were excluded. 291 participants were included in the study.

Interventions

SMS group: All participants received postal reminders two weeks before appointment. Intervention group also received text message reminders 24 hours before appointment. Texts were sent through a web‐based provider.

Control group: Postal reminder two weeks before appointment only.

Outcomes

Attendance rate; Proportion of participants willing to be contacted by SMS (before the intervention).

Funding

Not specified.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

No information on the method of randomisation was provided.

Allocation concealment (selection bias)

Unclear risk

No information on allocation concealment was provided.

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

No information of blinding of researchers was provided. Blinding of participants was not possible due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

There was no loss to follow up.

Selective reporting (reporting bias)

Unclear risk

Protocol was not available, however the number of possible outcomes seems restricted to those reported.

Other bias

Unclear risk

The authors state that the groups were comparable at baseline on age and gender, although no data are provided to support this.

Leong 2006

Methods

Study design: randomised controlled trial (between April and October 2005).

Participants

Malaysia. Seven primary care clinics. 993 participants whose follow‐up appointments fell between 48 hours to 3 months from recruitment date. Either the patients or their caregivers had to have a mobile phone with text messaging function.

Interventions

SMS group: Participants received text message reminders delivered through a mobile phone SMS, 24 to 48 hrs before appointment. The text message included participant's name and appointment details.

Mobile phone group: Participants were called 24 to 48 hrs before appointment. A maximum of three reminders was attempted in the intervention groups. Call content was the same as the SMS content.

Control group: No reminders.

Outcomes

Attendance rate at the healthcare appointment.

Costs of reminders.

Funding

This research was funded via an unrestricted grant from the International Medical University, Malaysia.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block randomisation method using software.

Allocation concealment (selection bias)

Low risk

The researcher who did the randomisation was said to be not involved in patient recruitment or delivery of the intervention. The method of allocation concealment is not stated.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Research assistants were blinded to the intervention. Participants could not be blinded due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Between 9 to 11 participants in each group did not receive the allocated intervention due to incorrect assignments by researchers. They were included in the intention‐to‐treat analysis.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available, however, the number of possible outcomes seems restricted to those reported.

Other bias

High risk

The groups are comparable on age, gender, income, reason for follow‐up, and whether the participant is the patient or the caregiver. However, the definition of 'attendance' is strict, being attendance at the clinics on scheduled days, whereas participants in the study were not accustomed to healthcare appointments but rather walk‐in visits; Consequently, 48% of the participants actually visited the clinic on days other than the appointment dates.

Liew 2009

Methods

Study design: randomised controlled trial (study dates not reported).

Participants

Malaysia. Two primary care clinics. 931 participants with chronic diseases such as diabetes, asthma, hypertension, dyslipidaemia, and coronary artery disease with a scheduled return appointment between 1 and 6 months. Ownership of a mobile phone by the patient or an accompanying person who would be able to contact the patient was required.

Interventions

SMS group: Participants received a standard text message reminder 24 to 48 hours before the scheduled appointment.

Telephone reminder: Participants received a reminder call 24 to 48 hours before the scheduled appointment. If the contact was unsuccessful, up to three further attempts were made at 4‐hourly intervals.

Control group: No reminders.

Outcomes

Non‐attendance rate, defined as the rate of those who did not attend, attended early, or attended late without rescheduling their appointment.

Funding

This study was made possible with research funding from University of Malaya (reference F0381/2005C) and University Kebangsaan Malaysia (reference FF‐225‐2005).

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Block randomisation by computer, using a block size of three units.

Allocation concealment (selection bias)

Low risk

Assignment of participants was done by computer using a list of anonymous identification codes.

Blinding (performance bias and detection bias)
All outcomes

Low risk

The recruiters who enrolled the research subjects were blinded to the intervention at the time of recruitment. Study subjects could not be blinded due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attendance rates were calculated based on intention‐to‐treat principle.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available. However, the number of possible outcomes seems restricted to those reported.

Other bias

Low risk

Control and intervention groups were similar at baseline for age, gender, chronic disease, mobile phone ownership. However, in the control group more patients (78.0%) owned a mobile telephone than in the intervention groups (telephone 67.2%; text messaging 68.5%). No other apparent sources of bias were identified.

Lin 2012

Methods

Study design: randomised controlled trial (from December 2010 until end of 2011).

Participants

China. Zhongshan Ophthalmic Center, Guangzhou. 258 parent–child pairs involved in the Childhood Cataract Programme of the Chinese Ministry of Health. Parent–child pairs were eligible if: 1) the child was diagnosed as having congenital or development cataract, regardless of treatment status; and 2) the parents owned a mobile phone and could use the free mobile service used in this study. Children with as‐yet‐unoperated cataract and with previous cataract surgery with or without placement of intraocular lenses were all eligible to take part. Illiterate parents were eligible if assisted by a literate partner. Children were ineligible if they showed other ocular abnormalities. If intraocular pressure could not be controlled within 1 week after surgery, children were withdrawn from the study and referred to the Center's glaucoma department.

Interventions

SMS group: Participants received 4 SMS reminders per appointment, i.e. at 10am and 4pm on 1 and 4 days before the date of the appointment. Appointments were once every month before surgery and at 1 week, 1 month, 2 months and 3 months post surgery (then every 3 months). The reminder read (in Chinese): "This is a reminder of the appointment for routine ophthalmic examination of your child at Zhongshan Ophthalmic Center at [time] on [date]. Rigorous and regular follow‐up is essential to timely and successful management of childhood cataract. Please make your preparations in advance and be on time."

Control group: Participants in the control group received standard care, without any appointment reminders.

Outcomes

Primary outcome: Attendance rate.

Secondary outcomes: Additional procedures (surgeries, laser treatments, or changes in eyeglass prescription); occurrence of secondary ocular hypertension.

Funding

Funded by the Key Projects for Hospital Clinical Disciplines of Ministry of Health of China in 2010‐2012 and partly by Fundamental Research Funds of State Key Laboratory of Ophthalmology.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer‐generated random numbers.

Allocation concealment (selection bias)

Low risk

Written allocation assignments were sealed in individual opaque envelopes marked only with study identification numbers.

Blinding (performance bias and detection bias)
All outcomes

Low risk

Regular ocular examinations and analyses were performed by investigators and clinical staff, both masked to group allocation. Study participants and the study personnel in charge of randomization and sending the SMS could not be masked, because the intervention required overt participation. However, this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

High risk

The rate of non‐attendance at the visit at 3 months after surgery, and thus the percentage of patients lost to follow‐up, was high in both the intervention (17%) and control (67%) group. This percentage is particularly high in the control group, therefore it was not possible to state whether the intervention improved outcomes significantly.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available. However, the number of possible primary outcomes seems restricted to those reported. Some secondary outcomes were reported, for which it could not be judged whether these were subject to undue selection.

Other bias

Low risk

Treatment and control groups were comparable at baseline for gender, residence status, parent's education, travel cost, number of children per household, and cataract history. No other sources of bias were identified.

Odeny 2012

Methods

Study design: randomised controlled trial (from September 2010 until April 2011).

Participants

Kenya. 12 public health clinics. Participants were 1200 adult men who were in need of follow‐up care after circumcision. Included were men aged 18 or older who had undergone circumcision on the day of screening. Participants needed to be in possession of a mobile phone at the time of enrolment, and be able and willing to respond to a questionnaire administered by phone 42 days after circumcision.

Interventions

SMS group: For the first seven days after circumcision, participants in the intervention group were sent daily text messages with post‐operative instructions and asking them to visit the clinic at seven days post‐procedure.

Control group: Participants in the control group received standard care, but no text messages.

Outcomes

Attendance at the seven‐day post‐operative clinic visit, that is: within 3 days before or after the scheduled 7‐day visit.

Funding

Funded by the University of Washington International AIDS Research and Training Program, which is supported by the Fogarty International Center (NIH 5D43‐TW000007). Additional support for the trial was provided by the Department of Epidemiology and Biostatistics at the University of Illinois at Chicago; and the Biostatistics and International Cores of the University of Washington Center for AIDS Research, an NIH funded program (P30 AI027757) which is supported by the following NIH Institutes and Centers (NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA).

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Randomisation was done using a computer‐generated block randomisation scheme with variable blocks of size 4 to16. Randomisation was stratified by clinic.

Allocation concealment (selection bias)

Low risk

"A biostatistician in Seattle, who was not involved in any other aspect of study implementation, developed the randomization sequence [...] Investigators and study staff were blinded to the block number, block size, and sequence in the block. Individual participant randomization envelopes were shipped from Seattle to Kisumu, while the key to intervention assignments was retained in Seattle. Participants were assigned to intervention arms using pre‐prepared sequentially numbered, sealed, opaque envelopes containing group assignment. Study staff issued the next envelope in the series."

Blinding (performance bias and detection bias)
All outcomes

Low risk

"Because of the nature of the intervention, it was not possible to mask participants to group assignments. However, clinicians and nurses performing the circumcision procedure and follow‐up were not aware of study group assignment." It is unlikely that the lack of blinding of participants would have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The primary analysis followed the intention‐to‐treat principle and was unadjusted. 12 (1%) participants whose clinic records could not be located after an extensive search were considered lost to follow‐up. Sensitivity analyses were performed in which the 12 men with missing clinic records were considered as failures to return.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available. However, the number of possible outcomes seems restricted to those reported.

Other bias

Low risk

There were minor differences in the proportions of men reporting zero versus one partner in the past month in the intervention versus control arms. However, the proportion reporting multiple partners was similar. Other baseline characteristics were similar in both study arms.

Taylor 2012

Methods

Study design: randomised controlled trial (study dates not reported).

Participants

Australia. 2 physical therapy outpatient departments. 679 patients in need of physical therapy. Participants were included if they had an appointment in a physical therapy outpatient clinic at 1 of the participating clinics and provided a mobile telephone number on which they could be contacted. Participants were excluded if they had an appointment scheduled on the same day on which they made the appointment or if they already had participated in the project by being allocated for a previous appointment during the trial.

Interventions

SMS group: Participants were sent an SMS reminder 2 days before their appointment if it was made more than 3 days in advance, or the day before the appointment if it was made within 2 days. The content of the SMS reminder was “Reminder: Physical therapy appointment at [site] on [day], [date] at [time]. Please call [number] ONLY if you cannot attend.”

Control group: Participants received no appointment reminders.

Outcomes

Non‐attendance rate, defined as the number of scheduled appointments not attended as a proportion of the total number of scheduled appointments.

Funding

The trial was funded by the participating hospitals.

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The randomisation sequence was prepared by an independent researcher using random number tables stratified for site in permuted blocks of 10.

Allocation concealment (selection bias)

Low risk

Group allocation was concealed in a computer file. An administration assistant opened the pre‐prepared computer file and selected the next participant in sequence, revealing their allocation by changing the text colour in the cell from white to black.

Blinding (performance bias and detection bias)
All outcomes

Low risk

"Data were retrieved in a blinded manner (i.e. without reference to group allocation) by a member of the research team by using the hospital’s data management system or were recorded manually by outpatient physical therapists at the time of the next scheduled appointment. Treating physical therapists were blinded to group allocation." Participants could not be blinded due to the nature of the intervention, but this is unlikely to have influenced outcomes.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Numbers of those lost to follow‐up or excluded from analysis were comparable across the different study arms. All data were analysed according to intention‐to‐treat principles.

Selective reporting (reporting bias)

Unclear risk

Protocol is not available. However, the list of reported outcomes seems comprehensive.

Other bias

Low risk

Intervention and control groups were comparable on all assessed demographic variables. No other sources of bias were identified.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Bos 2005

Study design: cohort study.

Bourne 2011

Study design: no randomisation.

Fischer 2012

Study design: cohort study.

Fung 2012

Study underpowered: intervention group of n = 2.

Steenhoff 2012

Outcome data for visit adherence not presented.

Data and analyses

Open in table viewer
Comparison 1. Mobile phone text message reminders vs no reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

7

5841

Risk Ratio (M‐H, Random, 95% CI)

1.14 [1.03, 1.26]

Analysis 1.1

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 1 Attendance rate at healthcare appointments.

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 1 Attendance rate at healthcare appointments.

2 Attendance rate at healthcare appointments (sensitivity analysis) Show forest plot

6

4809

Risk Ratio (M‐H, Random, 95% CI)

1.08 [1.05, 1.12]

Analysis 1.2

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 2 Attendance rate at healthcare appointments (sensitivity analysis).

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 2 Attendance rate at healthcare appointments (sensitivity analysis).

Open in table viewer
Comparison 2. Mobile phone message text reminders plus postal reminders vs postal reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 2.1

Comparison 2 Mobile phone message text reminders plus postal reminders vs postal reminders, Outcome 1 Attendance rate at healthcare appointments.

Comparison 2 Mobile phone message text reminders plus postal reminders vs postal reminders, Outcome 1 Attendance rate at healthcare appointments.

Open in table viewer
Comparison 3. Mobile phone message reminders vs phone call reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

3

2509

Risk Ratio (M‐H, Random, 95% CI)

0.99 [0.95, 1.02]

Analysis 3.1

Comparison 3 Mobile phone message reminders vs phone call reminders, Outcome 1 Attendance rate at healthcare appointments.

Comparison 3 Mobile phone message reminders vs phone call reminders, Outcome 1 Attendance rate at healthcare appointments.

Study flow diagram. (Note: search strategy and screening selection is common for this review and for de Jongh in preparation until the final allocation stage).
Figuras y tablas -
Figure 1

Study flow diagram. (Note: search strategy and screening selection is common for this review and for de Jongh in preparation until the final allocation stage).

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Forest plot of comparison: 1 Mobile phone text message reminders vs no reminders, outcome: 1.1 Attendance rate at healthcare appointments.
Figuras y tablas -
Figure 3

Forest plot of comparison: 1 Mobile phone text message reminders vs no reminders, outcome: 1.1 Attendance rate at healthcare appointments.

Forest plot of comparison: 2 Mobile phone message text reminders plus postal reminders vs postal reminders, outcome: 2.1 attendance rate of scheduled healthcare appointments.
Figuras y tablas -
Figure 4

Forest plot of comparison: 2 Mobile phone message text reminders plus postal reminders vs postal reminders, outcome: 2.1 attendance rate of scheduled healthcare appointments.

Forest plot of comparison: 3 Mobile phone message reminders vs phone call reminders, outcome: 3.1 Attendance rate at healthcare appointments.
Figuras y tablas -
Figure 5

Forest plot of comparison: 3 Mobile phone message reminders vs phone call reminders, outcome: 3.1 Attendance rate at healthcare appointments.

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 1 Attendance rate at healthcare appointments.
Figuras y tablas -
Analysis 1.1

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 1 Attendance rate at healthcare appointments.

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 2 Attendance rate at healthcare appointments (sensitivity analysis).
Figuras y tablas -
Analysis 1.2

Comparison 1 Mobile phone text message reminders vs no reminders, Outcome 2 Attendance rate at healthcare appointments (sensitivity analysis).

Comparison 2 Mobile phone message text reminders plus postal reminders vs postal reminders, Outcome 1 Attendance rate at healthcare appointments.
Figuras y tablas -
Analysis 2.1

Comparison 2 Mobile phone message text reminders plus postal reminders vs postal reminders, Outcome 1 Attendance rate at healthcare appointments.

Comparison 3 Mobile phone message reminders vs phone call reminders, Outcome 1 Attendance rate at healthcare appointments.
Figuras y tablas -
Analysis 3.1

Comparison 3 Mobile phone message reminders vs phone call reminders, Outcome 1 Attendance rate at healthcare appointments.

Summary of findings for the main comparison. Mobile phone text message reminders compared to no reminders for patients with scheduled healthcare appointments

Patient or population: Patients with healthcare appointments
Settings: All settings (primary, hospital, community, outpatient)
Intervention: Mobile phone text message reminders
Comparison: No reminders

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of Participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

No reminders

Mobile phone text message reminders

Attendance rate at healthcare appointments

678 per 1000

773 per 1000
(698 to 854)

RR 1.14

(1.03 to 1.26)

5841
(7 studies)

⊕⊕⊕⊝
moderatea,b

Other outcomes

None of the included studies reported on health outcomes, costs, user evaluation of the intervention, user perception of safety, potential harms or adverse effects of the intervention.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio;

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

a Unclear risk of bias for several categories in the included studies.
b In one study the unit of analysis was appointment rather than the individual participant which may have resulted in clustering of data.

Figuras y tablas -
Summary of findings for the main comparison. Mobile phone text message reminders compared to no reminders for patients with scheduled healthcare appointments
Summary of findings 2. Mobile phone message text reminders plus postal reminders compared to postal reminders alone for patients with scheduled healthcare appointments

Patient or population: Patients with healthcare appointments
Settings: All settings (primary, hospital, community, outpatient)
Intervention: Mobile phone message text plus postal reminders
Comparison: Postal reminders

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of Participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Postal reminders

Mobile phone message text plus postal reminders

Attendance rate at healthcare appointments

858 per 1000

944 per 1000
(875 to 1000)

RR 1.10
(1.02 to 1.19)

291
(1 study)

⊕⊕⊝⊝
lowa

Other outcomes

The included study did not report on health outcomes, costs, user evaluation of the intervention, user perception of safety, potential harms or adverse effects of the intervention.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio;

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

aOnly one study included, with small number or participants. No information provided about the method of randomisation, allocation concealment, blinding and selective outcome reporting (unclear risk of bias). Low risk only for attrition bias.

Figuras y tablas -
Summary of findings 2. Mobile phone message text reminders plus postal reminders compared to postal reminders alone for patients with scheduled healthcare appointments
Summary of findings 3. Mobile phone message reminders compared to phone call reminders for patients with scheduled healthcare appointments

Mobile phone message reminders compared to phone call reminders for patients with healthcare appointments

Patient or population: patients with healthcare appointments
Settings: all settings (primary, hospital, community, outpatient)
Intervention: Mobile phone message reminders
Comparison: phone call reminders

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of Participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Phone call reminders

Mobile phone message reminders

Attendance rate at healthcare appointments

803 per 1000

795 per 1000
(763 to 819)

RR 0.99
(0.95 to 1.02)

2509
(3 studies)

⊕⊕⊕⊝
moderatea,b

Costs

While the attendance rates after text messages versus phone reminders were similar, the costs per text message per attendance were 55% and 65% lower than costs per phone call reminder in two included studies.

Adverse outcomes

One study reported that there were no adverse events during the study period. Two studies did not report on adverse events.

Other outcomes

None of the included studies reported on health outcomes, user evaluation of the intervention or user perception of safety.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio;

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

a Unclear risk of bias for several categories in the included studies.
b In one study the unit of analysis was appointment rather than the individual participant which may have resulted in clustering of data.

Figuras y tablas -
Summary of findings 3. Mobile phone message reminders compared to phone call reminders for patients with scheduled healthcare appointments
Table 1. Characteristics of communication modes

Face‐to‐face

Postal Letter

Call to Landline

Call to Mobile

Web Based (Electronic Health Record)

Email

SMS / MMS

Immediacy

Slow: Requires a visit to the provider

Slow: around 2 days

Immediate, if person is at home. Return call may be necessary.

Immediate, if person answers (more likely than landline).
Return call may be necessary.

Immediate

Immediate
or stored

Immediate
or stored

Privacy and Confidentiality

High:
Personal communication

High:
Personally addressed

Low: Confidentiality prevents message being left as others may answer or retrieve it.

High:
Personal device enables possibility of message being left.

Moderate:
dependent on whether device is personal or public.

Moderate:
dependent on whether device is personal or public.

High, if
personal device.

Likelihood of misinterpretation

Low

Moderate

Low, as patient can request immediate clarification

Low, as patient can request immediate clarification

Moderate

Moderate

Moderate

Delivery confirmation possible

Not applicable

Yes, but only at significant expense

Unnecessary if call is answered. No, if message was left.

Unnecessary if call is answered. No, if message was left.

Not applicable

Yes

Yes

Cost

High

Moderate

Low

Moderate

Low

Low

Low

Figuras y tablas -
Table 1. Characteristics of communication modes
Table 2. Secondary outcomes data

Study

Costs and cost effectiveness

(monetary unit as specified in the study)

Participant evaluation of the intervention

(as reported in the study)

Potential harms or adverse effects of the intervention

(as reported in the study)

Chen 2008

Cost per attendance:

SMS group: 0.31 Yuan (4.7 GBP)

Telephone group: 0.48 Yuan (7.3 GBP)

Ratio of total cost per attendance:

SMS group: 0.65 (relative to telephone group)

Not reported

Not reported

Koury 2005

Not reported

98% willing to receive routine reminders of their appointments.

Usefulness of the intervention:

  • 62% thought it would be useful

  • 31% doubted its value

  • 7% were unsure

Not reported

Leong 2006

Cost per attendance:

SMS group: 0.45 RM (0.67 GBP)

Mobile phone group: 0.82 RM (0.123 GBP)

Ratio of total cost per attendance:

SMS group: 0.55 (relative to mobile phone group)

Not reported

No adverse events reported during the study period.

Lin 2012

Not reported

132 out of 135 (97.8%) reported they would like the intervention to continue

Not reported

Figuras y tablas -
Table 2. Secondary outcomes data
Comparison 1. Mobile phone text message reminders vs no reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

7

5841

Risk Ratio (M‐H, Random, 95% CI)

1.14 [1.03, 1.26]

2 Attendance rate at healthcare appointments (sensitivity analysis) Show forest plot

6

4809

Risk Ratio (M‐H, Random, 95% CI)

1.08 [1.05, 1.12]

Figuras y tablas -
Comparison 1. Mobile phone text message reminders vs no reminders
Comparison 2. Mobile phone message text reminders plus postal reminders vs postal reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 2. Mobile phone message text reminders plus postal reminders vs postal reminders
Comparison 3. Mobile phone message reminders vs phone call reminders

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Attendance rate at healthcare appointments Show forest plot

3

2509

Risk Ratio (M‐H, Random, 95% CI)

0.99 [0.95, 1.02]

Figuras y tablas -
Comparison 3. Mobile phone message reminders vs phone call reminders