SynthesisJournal of medical Internet research2014
Use of mobile phone text message reminders in health care services: a narrative literature review.
Synthesis in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 155 papers, 23 of them syntheses that pooled 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.
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.
Integrating Text Messages Into the Mothers and Babies Course to Address Depression in Low-Income Women and Their Partners
Integrating Text Messages Into the Mothers and Babies Course to Address Depression in Low-Income Women and Their Partners
Improving Exclusive Breastfeeding Via Mobile Phone Text Messages: a Randomized Controlled Trial in Southern Jordan
Who cites it
155 citing papers in PubMed, 23 syntheses or guidelines pooled it.
- Effectiveness of booster strategies to promote physical activity maintenance: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2025Pooled it
- Diabetes care components effectively implemented in the ASEAN health systems: an umbrella review of systematic reviews.BMJ open · 2023Pooled it
- Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.BMC medical informatics and decision making · 2023Pooled it
- The Use of Mobile Health Interventions for Outcomes among Middle-Aged and Elderly Patients with Prediabetes: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Influencing medication taking behaviors using automated two-way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel.British journal of health psychology · 2022Pooled it
- Digital interventions to improve adherence to maintenance medication in asthma.The Cochrane database of systematic reviews · 2022Pooled it
- Health Disparities Across Lung Cancer Continuum Among Asian Americans: A Systematic Review.Journal of immigrant and minority health · 2022Pooled it
- The Effectiveness of Mobile Phone Messaging-Based Interventions to Promote Physical Activity in Type 2 Diabetes Mellitus: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Pooled it
- Effectiveness of mobile text reminder in improving adherence to medication, physical exercise, and quality of life in patients living with HIV: a systematic review.BMC infectious diseases · 2021Pooled it
- Short message service (SMS) reminders for childhood immunisation in low-income and middle-income countries: a systematic review and meta-analysis.BMJ global health · 2021Pooled it
- Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2021Pooled it
- mHealth communication to strengthen postnatal care in rural areas: a systematic review.BMC pregnancy and childbirth · 2019Pooled it
- Effect of mobile text message reminders on routine childhood vaccination: a systematic review and meta-analysis.Systematic reviews · 2019Pooled it
- Family Planning Reminder Systems: An Updated Systematic Review.American journal of preventive medicine · 2018Pooled it
- The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Action on diabetic macular oedema: achieving optimal patient management in treating visual impairment due to diabetic eye disease.Eye (London, England) · 2017Guideline
- A systematic review of strategies to increase access to health services among children in low and middle income countries.BMC health services research · 2017Pooled it
- Are interventions to increase the uptake of screening for cardiovascular disease risk factors effective? A systematic review and meta-analysis.BMC family practice · 2017Pooled it
95 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile text messages are a widely recognized communication method in societies, as the global penetration of the technology approaches 100% worldwide. Systematic knowledge is still lacking on how the mobile telephone text messaging (short message service, SMS) has been used in health care services.
objectiveThis study aims to review the literature on the use of mobile phone text message reminders in health care.
methodsWe conducted a systematic literature review of studies on mobile telephone text message reminders. The data sources used were PubMed (MEDLINE), CINAHL, Proquest Databases/ PsycINFO, EMBASE, Cochrane Library, Scopus, and hand searching since 2003. Studies reporting the use of SMS intended to remind patients in health services were included. Given the heterogeneity in the studies, descriptive characteristics, purpose of the study, response rates, description of the intervention, dose and timing, instruments, outcome measures, and outcome data from the studies were synthesized using a narrative approach.
resultsFrom 911 initial citations, 60 studies were included in the review. The studies reported a variety of use for SMS. Mobile telephone text message reminders were used as the only intervention in 73% (44/60) of the studies, and in 27% (16/60) of the remaining studies, SMS was connected to another comprehensive health intervention system. SMS reminders were sent to different patient groups: patients with HIV/AIDS (15%, 9/60) and diabetes (13%, 8/60) being the most common groups. The response rates of the studies varied from 22-100%. Typically, the text message reminders were sent daily. The time before the specific intervention to be rendered varied from 10 minutes (eg, medication taken) to 2 weeks (eg, scheduled appointment). A wide range of different evaluation methods and outcomes were used to assess the impact of SMS varying from existing databases (eg, attendance rate based on medical records), questionnaires, and physiological measures. About three quarters of the studies (77%, 46/60) reported improved outcomes: adherence to medication or to treatment reportedly improved in 40% (24/60) of the studies, appointment attendance in 18% (11/60) of the studies, and non-attendance rates decreased in 18% (11/60) of the studies. Other positive impacts were decreased amount of missed medication doses, more positive attitudes towards medication, and reductions in treatment interruptions.
conclusionsWe can conclude that although SMS reminders are used with different patient groups in health care, SMS is less systematically studied with randomized controlled trial study design. Although the amount of evidence for SMS application recommendations is still limited, having 77% (46/60) of the studies showing improved outcomes may indicate its use in health care settings. However, more well-conducted SMS studies are still needed.
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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.