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TitleEffectiveness of text messaging interventions for the management of depression: A systematic review and meta-analysis.
AuthorsSenanayake, B; Wickramasinghe, SI; Chatfield, MD; Hansen, J; Edirippulige, S; Smith, AC
JournalJournal of telemedicine and telecare
Publication Date1 Oct 2019
Date Added to PubMed22 Oct 2019
AbstractDepression is a leading cause of human disability. Telemedicine-based interventions using text messaging are currently being trialled for the management of community-based clients with clinical depression. However, little is known about the effectiveness of such methods. We searched the databases PubMed, Embase, Informit, Cochrane Central Register of Controlled Trials, PsycINFO and Scopus for randomised controlled trials (RCTs) published between January 2000 and April 2019. Studies comparing text messaging interventions to a comparator group for patients with depression were included in the review. Articles were assessed for quality using the Joanna Briggs Institute critical appraisal checklist for RCTs. Nine RCTs (945 patients: 764 adults and 181 adolescents) were included in the systematic review. Five studies used text messaging as the only intervention, whilst the remaining combined text messaging with other treatment modalities such as behavioural activation or cognitive behavioural therapy. A meta-analysis was conducted on seven selected RCTs (845 patients: 664 adults and 181 adolescents). The standardised mean reduction in depression due to text messaging interventions was 0.23 (95% confidence interval: -0.02 to 0.48). There was evidence of heterogeneity in treatment effect between studies. There is marginal evidence supporting text messaging interventions as an effective treatment modality for people living with clinical depression. However, further research is needed to determine how best to utilise text-message interventions alongside other conventional forms of health services delivery.
Linkhttp://doi.org/10.1177/1357633X19875852
TitleScoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions.
AuthorsIribarren, SJ; Brown, W; Giguere, R; Stone, P; Schnall, R; Staggers, N; Carballo-Diéguez, A
JournalInternational journal of medical informatics
Publication Date1 May 2017
Date Added to PubMed30 Mar 2017
AbstractMobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature. A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings. Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages. Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.
Linkhttp://doi.org/10.1016/j.ijmedinf.2017.01.017
TitleWillingness to use and pay for smoking cessation service via text-messaging among Vietnamese adult smokers, 2017.
AuthorsNgan, TT; Do, VV; Huang, J; Redmon, PB; Minh, HV
JournalJournal of substance abuse treatment
Publication Date1 Sep 2019
Date Added to PubMed3 Aug 2019
AbstractTo examine willingness to use (WTU) and willingness to pay (WTP) for smoking cessation service via text-messaging among adult smokers in Vietnam in 2017; and to identify demographic and socioeconomic factors associated with the WTU and WTP. A cross-sectional study of 602 adult smokers who had intention to quit in the next 12 months was conducted in Vietnam in 2017. Participants were provided with the information about a mobile health (mHealth) smoking cessation service via text-messaging and asked about their willingness to use and pay for it. The contigent valuation method was used to estimate the WTP for the service, using single bound question format. Discrete choice model was applied to estimate the average WTP and its associated factors. Seventy-two percent of smokers expressed willingness to use smoking cessation service via text-messaging if it were available. The average willingness to pay among those interested in using the mHealth cessation service was 82,000 VND (US$3.5). Smoking status and quit attempts in the last twelve months were associated with WTU, whereas age of the smokers and monthly income were significant predictors of WTP. A high proportion of Vietnamese smokers with intention to quit were interested in using smoking cessation services via text-messaging. The high level of smokers' willingness to use and pay for the text messaging cessation program indicates the mHealth methods could be a potential option for developing and delivering smoking cessation services in Vietnam.
Linkhttp://doi.org/10.1016/j.jsat.2019.05.014
TitleOld-Fashioned Technology in the Era of "Bling": Is There a Future for Text Messaging in Health Care?
AuthorsWillcox, JC; Dobson, R; Whittaker, R
JournalJournal of medical Internet research
Publication Date20 Dec 2019
Date Added to PubMed21 Dec 2019
AbstractIn the quest to discover the next high-technology solution to solve many health problems, proven established technologies are often overlooked in favor of more "technologically advanced" systems that have not been fully explored for their applicability to support behavior change theory, or used by consumers. Text messages or SMS is one example of an established technology still used by consumers, but often overlooked as part of the mobile health (mHealth) toolbox. The purpose of this paper is to describe the benefits of text messages as a health promotion modality and to advocate for broader scale implementation of efficacious text message programs. Text messaging reaches consumers in a ubiquitous real-time exchange, contrasting the multistep active engagement required for apps and wearables. It continues to be the most widely adopted and least expensive mobile phone function. As an intervention modality, text messaging has taught researchers substantial lessons about tailored interactive health communication; reach and engagement, particularly in low-resource settings; and embedding of behavior change models into digital health. It supports behavior change techniques such as reinforcement, prompts and cues, goal setting, feedback on performance, support, and progress review. Consumers have provided feedback to indicate that text messages can provide them with useful information, increase perceived support, enhance motivation for healthy behavior change, and provide prompts to engage in health behaviors. Significant evidence supports the effectiveness of text messages alone as part of an mHealth toolbox or in combination with health services, to support healthy behavior change. Systematic reviews have consistently reported positive effects of text message interventions for health behavior change and disease management including smoking cessation, medication adherence, and self-management of long-term conditions and health, including diabetes and weight loss. However, few text message interventions are implemented on a large scale. There is still much to be learned from investing in text messaging delivered research. When a modality is known to be effective, we should be learning from large-scale implementation. Many other technologies currently suffer from poor long-term engagement, the digital divide within society, and low health and technology literacy of users. Investing in and incorporating the learnings and lessons from large-scale text message interventions will strengthen our way forward in the quest for the ultimate digitally delivered behavior change model.
Linkhttp://doi.org/10.2196/16630
TitleFundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health.
AuthorsBerrouiguet, S; Baca-García, E; Brandt, S; Walter, M; Courtet, P
JournalJournal of medical Internet research
Publication Date10 Jun 2016
Date Added to PubMed12 Jun 2016
AbstractMobile phone text messages (short message service, SMS) are used pervasively as a form of communication. Almost 100% of the population uses text messaging worldwide and this technology is being suggested as a promising tool in psychiatry. Text messages can be sent either from a classic mobile phone or a web-based application. Reviews are needed to better understand how text messaging can be used in mental health care and other fields of medicine. The objective of the study was to review the literature regarding the use of mobile phone text messaging in mental health care. We conducted a thorough literature review of studies involving text messaging in health care management. Searches included PubMed, PsycINFO, Cochrane, Scopus, Embase and Web of Science databases on May 25, 2015. Studies reporting the use of text messaging as a tool in managing patients with mental health disorders were included. Given the heterogeneity of studies, this review was summarized using a descriptive approach. From 677 initial citations, 36 studies were included in the review. Text messaging was used in a wide range of mental health situations, notably substance abuse (31%), schizophrenia (22%), and affective disorders (17%). We identified four ways in which text messages were used: reminders (14%), information (17%), supportive messages (42%), and self-monitoring procedures (42%). Applications were sometimes combined. We report growing interest in text messaging since 2006. Text messages have been proposed as a health care tool in a wide spectrum of psychiatric disorders including substance abuse, schizophrenia, affective disorders, and suicide prevention. Most papers described pilot studies, while some randomized clinical trials (RCTs) were also reported. Overall, a positive attitude toward text messages was reported. RCTs reported improved treatment adherence and symptom surveillance. Other positive points included an increase in appointment attendance and in satisfaction with management and health care services. Insight into message content, preventative strategies, and innovative approaches derived from the mental health field may be applicable in other medical specialties.
Linkhttp://doi.org/10.2196/jmir.5066
TitleEffect of lifestyle focused text messaging on risk factor modification in patients with diabetes and coronary heart disease: A sub-analysis of the TEXT ME study.
AuthorsHaider, R; Hyun, K; Cheung, NW; Redfern, J; Thiagalingam, A; Chow, CK
JournalDiabetes research and clinical practice
Publication Date1 Jul 2019
Date Added to PubMed8 May 2019
AbstractThere is potential to provide public health interventions through text messaging for patients with Type 2 diabetes mellitus (T2DM). Our objective was to ascertain if lifestyle focused text messaging addressing cardiovascular risk factors in patients with coronary heart disease (CHD) and T2DM, was more effective than usual care. This is a secondary analysis of the TEXT ME study, a randomised clinical trial of a 6-month text messaging intervention in patients with coronary heart disease. The measured outcomes include cholesterol, blood pressure (BP), body mass index (BMI), HbA1c, waist/hip circumference and smoking status. Our objective was to ascertain if lifestyle focused text messaging in patients with T2DM was more effective than usual care, and to determine if the intervention was more effective in patients with T2DM compared to those without. 229 participants in the TEXT ME study had T2DM (32%), 111 participants in the intervention group and 118 in the control group. At 6 months, the mean difference in systolic BP was -7.6 mmHg (95%CI -11.8, -3.37, p = 0.0003) and diastolic BP -3.7 mmHg (95%CI -6.12, -1.24, p = 0.0032). The mean difference in low density lipoprotein in the intervention arm, compared to the control arm, was -0.05 mmol/L (95%CI -0.27, 0.18, p = 0.813), and in triglycerides was -0.29 mmol/L (95%CI -0.59, 0.01, p = 0.035) respectively. The mean difference in BMI was -0.89 kg/m2 (95%CI -2.74, 0.95, p < 0.0001) in the intervention group, waist circumference -3.98 cm (95%CI -8.57, 0.61, p < 0.0001) and hip circumference -3.26 cm (95%CI -7.67, 1.16, p = 0.0006). Intervention subjects with diabetes were less likely to be smokers at 6 months. The mean difference in HbA1c between the control and intervention group was not significant (p = 0.126). The intervention was as effective in patients with diabetes, compared to those without. Among patients with coronary heart disease with T2DM, lifestyle-focused text messaging resulted in significant risk factor reduction.
Linkhttp://doi.org/10.1016/j.diabres.2019.04.030
TitleGoPerio - impact of a personalized video and an automated two-way text-messaging system in oral hygiene motivation: study protocol for a randomized controlled trial.
AuthorsGaryga, V; Pochelu, F; Thivichon-Prince, B; Aouini, W; Santamaria, J; Lambert, F; Maucort-Boulch, D; Gueyffier, F; Gritsch, K; Grosgogeat, B
JournalTrials
Publication Date10 Dec 2019
Date Added to PubMed12 Dec 2019
AbstractOral hygiene is of paramount importance for the preservation of oral health, and for patients affected by periodontal disease establishing an effective oral hygiene routine is the first step of therapy. Several clinical frameworks have been developed to foster behavior change, such as motivational interviewing. However, two obstacles can be identified. First, patients tend to forget the advice they were given during the consultation. Second, it is hard to maintain motivation in the long term, thus leading to relapse. An innovative eHealth solution was designed with the aim to tackle both obstacles and supplement the current clinical standard of care. The primary objective is to compare the full mouth plaque scores of study groups (eHealth plus standard of care versus standard of care only) at 8 weeks of follow up. The main secondary objective is to compare the full mouth bleeding score at 8 weeks of follow up. The "GoPerio" study is a multicenter, randomized, controlled trial assessing the impact of a novel eHealth concept for oral hygiene motivation (personalized video of oral hygiene routine available for the patient via a cloud server plus interactive text messages) in addition to the current standard of care (motivational interviewing plus tooth scaling and polishing). The minimum sample size required is 86 patients. Participants will be randomized (allocation ratio 1:1): test group (eHealth plus standard of care) versus control group (standard of care only). The primary outcome is oral hygiene as measured by the full mouth (six sites per tooth) plaque control record (PCR) index. The main secondary outcome is gingival inflammation as measured by the full mouth (six sites per tooth) bleeding on probing (BOP) index. Both the primary and the main secondary outcomes are evaluated by blinded and calibrated examiners at 8 weeks of follow up. The other secondary outcomes are patient satisfaction and patient behavior change and motivation. The study will investigate the value of an innovative eHealth approach to strengthen patient motivation for oral hygiene. If proven effective, such an approach would supplement the current clinical standard of care, resulting in improved clinical outcomes with negligible impact on productivity in a dental practice. ClinicalTrials.gov, NCT03109808. Registered on 12 April 2017. Hospices Civils de Lyon. BP 2251, 3 quai des Célestins, 69,229 Lyon cedex 02. Protocol version: 1.0 as of 21 September 2016.
Linkhttp://doi.org/10.1186/s13063-019-3738-0
TitleThe Role of Text Messaging and Telehealth Messaging Apps.
AuthorsGanapathy, S; de Korne, DF; Chong, NK; Car, J
JournalPediatric clinics of North America
Publication Date1 Aug 2020
Date Added to PubMed12 Jul 2020
AbstractThis article focuses on the role of text messaging and messaging applications, discusses technical and legal issues, and reviews current examples of the application of text messaging in the clinical adult and pediatric practice. Reviews of current examples of text messaging in adult and pediatric practice show uptake has been increasing substantially in recent years. In pediatric care text messaging has been used for behavior intervention and outcomes tracking. Although applications are promising, the potential of nonsynchronic messaging in the formal delivery of care is still in the neonatal phase compared with its grown-up existence in day-to-day modern life.
Linkhttp://doi.org/10.1016/j.pcl.2020.04.002
TitleEfficacy, acceptability and feasibility of daily text-messaging in promoting glycaemic control and other clinical outcomes in a low-resource setting of South Africa: A randomised controlled trial.
AuthorsOwolabi, EO; Goon, DT; Ajayi, AI
JournalPloS one
Publication Date1 Dec 2019
Date Added to PubMed28 Nov 2019
AbstractSouth Africa is confronted with a high burden of diabetes, the majority of which are poorly controlled. The use of mHealth, specifically text messaging for fostering health, is evolving and studies on its efficacy, the majority of which were conducted in developed countries, have documented mixed findings. There is no such study done amongst patients living with diabetes in the resource-poor settings of South Africa. The aim of this study is to determine the efficacy, acceptability and feasibility of text-messaging in improving glycaemic control and other clinical outcomes among individuals living with diabetes in low-resource settings in Eastern Cape, South Africa. The study adopted a multi-centre, two-arm, parallel, randomised-controlled trial design. The study was conducted amongst patients with an uncontrolled glycaemic status. Participants were randomly assigned to the intervention (n = 108) and the control arm (n = 108). Participants in the intervention arm received daily educational text messages on diabetes for six months. Data was collected at baseline and six months post-intervention. Blood glucose, blood pressure and anthropometric measurements followed standard procedure. Mixed-model analysis was used to assess the impact of the text messages on blood glucose while linear regression was used to assess its effect on other clinical outcomes such as weight, body mass index, systolic and diastolic blood pressure. The mean age of the participants was 60.64 (SD± 11.58) years. The majority of the participants had a secondary level of education (95.3%) and earned 104.80 to 991.42 USD per month (67.7%). Both arms of the study showed improvement in their blood glucose levels, but the intervention did not have any significant effect, the mean adjusted change in blood glucose was 0.26 (-0.81 to 1.32), p = 0.634. Also, the intervention did not have any significant effect on weight, body mass index, systolic and diastolic blood pressure. Almost all participants (90.74%) were pleased with the intervention and felt it was helpful. Of those who participated in the intervention, 91% completed the follow-up after 6 months. Unidirectional text-messaging was acceptable and feasible amongst adults living with diabetes in this setting. However, its efficacy in improving glycaemic status and other clinical outcomes remains doubtful. Trial Registration: Pan African Clinical Trial Registry PACTR201810599931422.
Linkhttp://doi.org/10.1371/journal.pone.0224791
TitleText Messaging Interventions on Cancer Screening Rates: A Systematic Review.
AuthorsUy, C; Lopez, J; Trinh-Shevrin, C; Kwon, SC; Sherman, SE; Liang, PS
JournalJournal of medical Internet research
Publication Date24 Aug 2017
Date Added to PubMed26 Aug 2017
AbstractDespite high-quality evidence demonstrating that screening reduces mortality from breast, cervical, colorectal, and lung cancers, a substantial portion of the population remains inadequately screened. There is a critical need to identify interventions that increase the uptake and adoption of evidence-based screening guidelines for preventable cancers at the community practice level. Text messaging (short message service, SMS) has been effective in promoting behavioral change in various clinical settings, but the overall impact and reach of text messaging interventions on cancer screening are unknown. The objective of this systematic review was to assess the effect of text messaging interventions on screening for breast, cervical, colorectal, and lung cancers. We searched multiple databases for studies published between the years 2000 and 2017, including PubMed, EMBASE, and the Cochrane Library, to identify controlled trials that measured the effect of text messaging on screening for breast, cervical, colorectal, or lung cancers. Study quality was evaluated using the Cochrane risk of bias tool. Our search yielded 2238 citations, of which 31 underwent full review and 9 met inclusion criteria. Five studies examined screening for breast cancer, one for cervical cancer, and three for colorectal cancer. No studies were found for lung cancer screening. Absolute screening rates for individuals who received text message interventions were 0.6% to 15.0% higher than for controls. Unadjusted relative screening rates for text message recipients were 4% to 63% higher compared with controls. Text messaging interventions appear to moderately increase screening rates for breast and cervical cancer and may have a small effect on colorectal cancer screening. Benefit was observed in various countries, including resource-poor and non-English-speaking populations. Given the paucity of data, additional research is needed to better quantify the effectiveness of this promising intervention.
Linkhttp://doi.org/10.2196/jmir.7893
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