Systematic Review and Meta-Analysis Examining the Effectiveness of Mobile Health Technologies in Using Self-Monitoring for Pediatric Weight Management

2017 ◽  
Vol 13 (5) ◽  
pp. 347-355 ◽  
Author(s):  
Katherine E. Darling ◽  
Amy F. Sato
Keyword(s):  
Systematic Review ◽  
Weight Management ◽  
Mobile Health ◽  
Meta Analysis ◽  
Self Monitoring ◽  
Health Technologies ◽  
Pediatric Weight Management

scholarly journals Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1977
Author(s):  
Iván Cavero-Redondo ◽  
Vicente Martinez-Vizcaino ◽  
Rubén Fernandez-Rodriguez ◽  
Alicia Saz-Lara ◽  
Carlos Pascual-Morena ◽  
...  
Keyword(s):  
Systematic Review ◽  
Weight Loss ◽  
Weight Management ◽  
Meta Analysis ◽  
Cochrane Central Register ◽  
Self Monitoring ◽  
Management Interventions ◽  
Technological Advances ◽  
Central Register ◽  
Diet And Physical Activity

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.

Does Motivational Interviewing Improve the Weight Management Process in Adolescents? A Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Parisa Amiri ◽  
Mohammad Masih Mansouri-Tehrani ◽  
Ahmad Khalili-Chelik ◽  
Mehrdad Karimi ◽  
Sara Jalali-Farahani ◽  
...  
Keyword(s):  
Systematic Review ◽  
Motivational Interviewing ◽  
Weight Management ◽  
Meta Analysis ◽  
Management Process

scholarly journals The Effectiveness of Self-Management of Hypertension in Adults Using Mobile Health: Systematic Review and Meta-Analysis

10.2196/17776 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e17776 ◽  
Author(s):  
Ran Li ◽  
Ning Liang ◽  
Fanlong Bu ◽  
Therese Hesketh
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Health Care ◽  
Medication Adherence ◽  
Mobile Health ◽  
Meta Analysis ◽  
Self Management ◽  
Narrative Synthesis ◽  
Management Behavior ◽  
Mhealth Intervention

Background Effective treatment of hypertension requires careful self-management. With the ongoing development of mobile technologies and the scarcity of health care resources, mobile health (mHealth)–based self-management has become a useful treatment for hypertension, and its effectiveness has been assessed in many trials. However, there is a paucity of comprehensive summaries of the studies using both qualitative and quantitative methods. Objective This systematic review aimed to measure the effectiveness of mHealth in improving the self-management of hypertension for adults. The outcome measures were blood pressure (BP), BP control, medication adherence, self-management behavior, and costs. Methods A systematic search was conducted using 5 electronic databases. The snowballing method was used to scan the reference lists of relevant studies. Only peer-reviewed randomized controlled trials (RCTs) published between January 2010 and September 2019 were included. Data extraction and quality assessment were performed by 3 researchers independently, adhering to the validation guideline and checklist. Both a meta-analysis and a narrative synthesis were carried out. Results A total of 24 studies with 8933 participants were included. Of these, 23 studies reported the clinical outcome of BP, 12 of these provided systolic blood pressure (SBP) and diastolic blood pressure (DBP) data, and 16 articles focused on change in self-management behavior and medication adherence. All 24 studies were included in the narrative synthesis. According to the meta-analysis, a greater reduction in both SBP and DBP was observed in the mHealth intervention groups compared with control groups, −3.78 mm Hg (P<.001; 95% CI −4.67 to −2.89) and −1.57 mm Hg (P<.001; 95% CI −2.28 to −0.86), respectively. Subgroup analyses showed consistent reductions in SBP and DBP across different frequencies of reminders, interactive patterns, intervention functions, and study duration subgroups. A total of 16 studies reported better medication adherence and behavioral change in the intervention groups, while 8 showed no significant change. Six studies included an economic evaluation, which drew inconsistent conclusions. However, potentially long-term financial benefits were mentioned in all economic evaluations. All studies were assessed to be at high risk of bias. Conclusions This review found that mHealth self-management interventions were effective in BP control. The outcomes of this review showed improvements in self-management behavior and medication adherence. The most successful mHealth intervention combined the feature of tailored messages, interactive communication, and multifaceted functions. Further research with longer duration and cultural adaptation is necessary. With increasing disease burden from hypertension globally, mHealth offers a potentially effective method for self-management and control of BP. mHealth can be easily integrated into existing health care systems. Trial Registration PROSPERO CRD42019152062; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=152062

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