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      Implementation Tells Us More Beyond Pooled Estimates: Secondary Analysis of a Multicountry mHealth Trial to Reduce Blood Pressure

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          Abstract

          Background

          The uptake of an intervention aimed at improving health-related lifestyles may be influenced by the participant’s stage of readiness to change behaviors.

          Objective

          We conducted secondary analysis of the Grupo de Investigación en Salud Móvil en América Latina (GISMAL) trial according to levels of uptake of intervention (dose-response) to explore outcomes by country, in order to verify the consistency of the trial’s pooled results, and by each participant’s stage of readiness to change a given lifestyle at baseline. The rationale for this secondary analysis is motivated by the original design of the GISMAL study that was independently powered for the primary outcome—blood pressure—for each country.

          Methods

          We conducted a secondary analysis of a mobile health (mHealth) multicountry trial conducted in Argentina, Guatemala, and Peru. The intervention consisted of monthly motivational phone calls by a trained nutritionist and weekly tailored text messages (short message service), over a 12-month period, aimed to enact change on 4 health-related behaviors: salt added to foods when cooking, consumption of high-fat and high-sugar foods, consumption of fruits or vegetables, and practice of physical activity. Results were stratified by country and by participants’ stage of readiness to change (precontemplation or contemplation; preparation or action; or maintenance) at baseline. Exposure (intervention uptake) was the level of intervention (<50%, 50%-74%, and ≥75%) received by the participant in terms of phone calls. Linear regressions were performed to model the outcomes of interest, presented as standardized mean values of the following: blood pressure, body weight, body mass index, waist circumference, physical activity, and the 4 health-related behaviors.

          Results

          For each outcome of interest, considering the intervention uptake, the magnitude and direction of the intervention effect differed by country and by participants’ stage of readiness to change at baseline. Among those in the high intervention uptake category, reductions in systolic blood pressure were only achieved in Peru, whereas fruit and vegetable consumption also showed reductions among those who were at the maintenance stage at baseline in Argentina and Guatemala.

          Conclusions

          Designing interventions oriented toward improving health-related lifestyle behaviors may benefit from recognizing baseline readiness to change and issues in implementation uptake.

          Trial Registration

          ClinicalTrials.gov NCT01295216; http://clinicaltrials.gov/ct2/show/NCT01295216 (Archived by WebCite at http://www.webcitation.org/72tMF0B7B).

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          Most cited references20

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          Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide.

          Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers cannot replicate or build on research findings. The quality of description of interventions in publications, however, is remarkably poor. To improve the completeness of reporting, and ultimately the replicability, of interventions, an international group of experts and stakeholders developed the Template for Intervention Description and Replication (TIDieR) checklist and guide. The process involved a literature review for relevant checklists and research, a Delphi survey of an international panel of experts to guide item selection, and a face to face panel meeting. The resultant 12 item TIDieR checklist (brief name, why, what (materials), what (procedure), who provided, how, where, when and how much, tailoring, modifications, how well (planned), how well (actual)) is an extension of the CONSORT 2010 statement (item 5) and the SPIRIT 2013 statement (item 11). While the emphasis of the checklist is on trials, the guidance is intended to apply across all evaluative study designs. This paper presents the TIDieR checklist and guide, with an explanation and elaboration for each item, and examples of good reporting. The TIDieR checklist and guide should improve the reporting of interventions and make it easier for authors to structure accounts of their interventions, reviewers and editors to assess the descriptions, and readers to use the information.
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            mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials.

            mHealth programs offer potential for practical and cost-effective delivery of interventions capable of reaching many individuals.
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              A Systematic Review of the mHealth Interventions to Prevent Alcohol and Substance Abuse.

              Substance abuse in young adults is a public health issue with costs to the individual and society. There is mounting evidence that the increased uses of mHealth approaches have promise as a way to facilitate reductions in substance use. This systematic review evaluated the recent body of research on mHealth-based interventions for substance use, with aims of (a) examining the functionality and effectiveness of these interventions, (b) evaluating the available research on the effectiveness of these interventions for substance use, and (c) evaluating the design, methodology, results, theoretical grounding, limitations, and implications of each study. We identified eligible studies by searching electronic databases using Boolean methods. The reviewed studies (N = 12) indicated that that a wide range of Internet-based, text messaging, and smartphone application interventions have been developed to address substance use. Interventions had an assortment of features; participants in each study highlighted the ease and convenience of the interventions; and the majority of studies provided support for the efficacy of mHealth in reducing substance use. Mobile technology is a promising tool for reducing substance use and warrants further development. Future practice including the use of mHealth interventions can be an integral part of reducing substance use.
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                November 2018
                01 November 2018
                : 6
                : 11
                : e10226
                Affiliations
                [1 ] CRONICAS Center of Excellence in Chronic Diseases Universidad Peruana Cayetano Heredia Lima Peru
                [2 ] Department of Epidemiology and Biostatistics School of Public Health Imperial College London London United Kingdom
                [3 ] INCAP Research Center for the Prevention of Chronic Diseases Institute of Nutrition of Central America and Panama Guatemala Guatemala
                [4 ] Department of Nutrition Faculty of Medicine University of Chile Santiago de Chile Chile
                [5 ] South American Center of Excellence for Cardiovascular Health Institute for Clinical Effectiveness and Health Policy Buenos Aires Argentina
                [6 ] Nutrition International Ottawa, ON Canada
                [7 ] Hospital Infantil de Mexico Federico Gomez Mexico DF Mexico
                [8 ] Department of Medicine School of Medicine Universidad Peruana Cayetano Heredia Lima Peru
                Author notes
                Corresponding Author: Manuel Ramirez-Zea mramirez@ 123456incap.int
                Author information
                http://orcid.org/0000-0002-2090-1856
                http://orcid.org/0000-0002-9896-8858
                http://orcid.org/0000-0002-7611-8190
                http://orcid.org/0000-0003-4867-5448
                http://orcid.org/0000-0002-6397-4406
                http://orcid.org/0000-0002-6100-1862
                http://orcid.org/0000-0001-5107-9175
                http://orcid.org/0000-0002-8418-6134
                http://orcid.org/0000-0002-1435-0306
                http://orcid.org/0000-0002-4738-5468
                Article
                v6i11e10226
                10.2196/10226
                6238100
                30389646
                3dd09bf1-79ad-4f78-8c1c-0b4cdae6633e
                ©Rodrigo M Carrillo-Larco, Safia S Jiwani, Francisco Diez-Canseco, Rebecca Kanter, Andrea Beratarrechea, Vilma Irazola, Manuel Ramirez-Zea, Adolfo Rubinstein, Homero Martinez, J Jaime Miranda, GISMAL Group. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 01.11.2018.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/.as well as this copyright and license information must be included.

                History
                : 15 March 2018
                : 10 May 2018
                : 21 June 2018
                : 16 July 2018
                Categories
                Original Paper
                Original Paper

                argentina,behavior,clinical trial,guatemala,health risk behaviors, lifestyle risk reduction,mhealth,peru

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