The Personal Nutrition Planner: a 5-week, computer-tailored intervention for women

Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis

Background

Well-designed mobile health (mHealth) interventions support a positive user experience; however, a high rate of disengagement has been reported as a common concern regarding mHealth interventions. To address this issue, it is necessary to summarize the design features that improve user engagement based on research over the past 10 years, during which time the popularity of mHealth interventions has rapidly increased due to the use of smartphones.

Objective

The aim of this review was to answer the question “Which design features improve user engagement with mHealth interventions?” by summarizing published literature with the purpose of guiding the design of future mHealth interventions.

Methods

This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Databases, namely, PubMed, Web of Science, Cochrane Library, Ovid EMBASE, and Ovid PsycINFO, were searched for English and Chinese language papers published from January 2009 to June 2019. Thematic analysis was undertaken to assess the design features in eligible studies. The Mixed Methods Appraisal Tool was used to assess study quality.

Results

A total of 35 articles were included. The investigated mHealth interventions were mainly used in unhealthy lifestyle (n=17) and chronic disease (n=10) prevention programs. Mobile phone apps (n=24) were the most common delivery method. Qualitative (n=22) and mixed methods (n=9) designs were widely represented. We identified the following 7 themes that influenced user engagement: personalization (n=29), reinforcement (n=23), communication (n=20), navigation (n=17), credibility (n=16), message presentation (n=16), and interface aesthetics (n=7). A checklist was developed that contained these 7 design features and 29 corresponding specific implementations derived from the studies.

Conclusions

This systematic review and thematic synthesis identified useful design features that make an mHealth intervention more user friendly. We generated a checklist with evidence-based items to enable developers to use our findings easily. Future evaluations should use more robust quantitative approaches to elucidate the relationships between design features and user engagement.

Dietary Interventions to Promote Healthy Eating among Office Workers: A Literature Review

Our aim is to review published studies on dietary interventions to promote healthy eating habits among office workers. The databases PubMed, EBSCO (MEDLINE, Academic Search Elite, CINAHL Plus, PsycARTICLES, PsycINFO), Cochrane Library, SCOPUS, and Google Scholar were searched between February and April 2019. Initially, 6647 articles were identified, and the final number of articles that met the inclusion criteria was 25. We identified four different types of interventions that included educational and/or environmental components, where environmental components provided healthy food in a work-related context. The interventions at the offices included web-based material, availability of food, provision of information in various ways, and a combination of environmental, educational and theory-based psychological approaches (i.e., multicomponent). The most commonly used designs were web-based and information interventions, respectively, which are the least expensive ways to intervene. The interventions assessed a range of outcomes, but this literature review focused on three, i.e., dietary intake, dietary behavior and health-related outcomes. Although the studies were heterogenous in terms of outcomes, design, number of participants, gender distribution and duration, all studies reported at least one positive effect. Thus, workplace dietary interventions are an unutilized area to positively influence dietary intake and health outcomes among office workers. However, the intervention needs to be tailored to the workplace.

eHealth Interventions for Fruit and Vegetable Intake: A Meta-Analysis of Effectiveness

Background. An adequate intake of fruits and vegetables (FVI) has shown benefits for reduced risk of manifesting chronic diseases. Thus, development of effective interventions to promote FVI is paramount. Aim. To assess the effectiveness of eHealth interventions for FVI targeted to healthy population, in comparison with control groups, and identify the moderators contributing to their effectiveness. Method. A database search was conducted in April 2016 and July 2018 using MEDLINE, PsycINFO, ERIC, Google Scholar, SciELO, and RISS, yielding 19 eligible studies. Risk of bias was assessed using Cochrane's Risk of Bias Tool. Random-effects model was used to calculate effect sizes (ES) by weighted standardized mean differences. Results. This meta-analysis includes 19 studies and 6,894 participants. The most common eHealth tool used was Internet-based interventions (n = 10). Most of studies were conducted in adults (n = 11), followed by children (n = 4), and adolescents (n = 4). The minimum number of behavior change techniques (BCTs) used was one, and the maximum seven. The overall ES was small (0.26, p < .001), favoring eHealth interventions. The between-studies heterogeneity was large (I² = 62.77%, p < .001). Subgroup analyses showed that the components with larger ES were tailored interventions (0.27, p < .001), computer-based interventions (0.44, p < .001), and use of ≥7 BCTs (0.42, p < .001). Discussion. All studies showed a positive ES favoring interventions. Large heterogeneity could be explained in part by the number of BCTs and type of eHealth tool used. Nonetheless, more concrete evidence regarding other intervention components effectiveness was limited by small sample size. Conclusion. The use of eHealth tools for the improvement of FVI showed to be more effective compared with nonintervention and interventions not using these technologies. Nonetheless, more research is needed to determine the specific combination of intervention components that could translate into larger effectiveness.

A systematic review of tailored eHealth interventions for weight loss

Objective

The aim of this study is to review the evidence for tailored eHealth weight-loss interventions, describing in detail: 1. how tailoring was implemented in these studies and 2. whether these tailored approaches were effective in producing weight loss compared with generic or inactive controls.

Methods

A systematic review was carried out. Five databases were searched up until 15 March, 2018, including: EBSCO, Science Direct, Pubmed, EMBASE and Web of Science, using combinations of the concepts ‘tailoring’, ‘eHealth’ and ‘overweight’.

Results

Eight articles relating to six interventions were accepted. Tailoring was carried out in a number of ways, based on, for example, anthropometric data, health-related behaviours (e.g. dietary intake, physical activity), goals (e.g. weight goal), theoretical determinants (e.g. confidence/willingness to change behaviours), psychosocial factors (e.g. social support) and participant location. Systems acquired data using strategies that ranged from online questionnaire administration, to the dynamic gathering of data from web-based diaries, websites, mobile applications and SMS messaging. Tailored interventions were more effective in supporting weight loss than generic or waitlist controls in four of the six articles. Effect sizes were very small to moderate, with evidence for fluctuations in effect sizes and differences of effect between tailoring and non-tailoring interventions, and between tailoring types, over time.

Conclusions

We contribute an enhanced understanding of the variety of methods used for the tailoring of eHealth interventions for weight loss and propose a model for categorising tailoring approaches.

The website-based eaTracker®‘My Goals’ feature: a qualitative evaluation

Objective

In 2011, Dietitians of Canada added ‘My Goals’ to its website-based nutrition/activity tracking program (eaTracker®,http://www.eaTracker.ca/); this feature allows users to choose ‘ready-made’ or ‘write-your-own’ goals and to self-report progress. The purpose of the present study was to document experiences and perceptions of goal setting and My Goals, and report users’ feedback on what is needed in future website-based goal setting/tracking tools.

Design

One-on-one semi-structured interviews were conducted with (i) My Goals users and (ii) dietitians providing a public information support service, EatRight Ontario (ERO).

Setting

My Goals users from Ontario and Alberta, Canada were recruited via an eaTracker website pop-up box; ERO dietitians working in Ontario, Canada were recruited via ERO.

Subjects

My Goals users (n23; age 19–70 years; 91 % female;n5 from Alberta/n18 from Ontario) and ERO dietitians (n5).

Results

Dietitians and users felt goal setting for nutrition (and activity) behaviour change was both a beneficial and a challenging process. Dietitians were concerned about users setting poor-quality goals and users felt it was difficult to stick to their goals. Both users and dietitians were enthusiastic about the My Goals concept, but felt the current feature had limitations that affected use. Dietitians and users provided suggestions to improve My Goals (e.g. more prominent presence of My Goals in eaTracker; assistance with goal setting; automated personalized feedback).

Conclusions

Dietitians and users shared similar perspectives on the My Goals feature and both felt goal use was challenging. Several suggestions were provided to enhance My Goals that are relevant to website-based goal setting/tracking tool design in general.

Technology-assisted weight management interventions: systematic review of clinical trials

INTRODUCTION

More than one-third of U.S. adults are obese, which greatly increases their risks for type 2 diabetes, cardiovascular disease, and some types of cancer. Busy healthcare professionals need effective tools and strategies to facilitate healthy eating and increase physical activity, thus promoting weight loss in their patients. Communication technologies such as the Internet and mobile devices offer potentially powerful methodologies to deliver behavioral weight loss interventions, and researchers have studied a variety of technology-assisted approaches.

MATERIALS AND METHODS

The literature from 2002 to 2012 was systematically reviewed by examining clinical trials of technology-assisted interventions for weight loss or weight maintenance among overweight and obese adults.

RESULTS

In total, 2,011 citations from electronic databases were identified; 39 articles were eligible for inclusion. Findings suggest that the use of technology-assisted behavioral interventions, particularly those that incorporate text messaging or e-mail, may be effective for producing weight loss among overweight and obese adults.

CONCLUSIONS

Only a small percentage of the 39 studies reviewed used mobile platforms such as Android(®) (Google, Mountain View, CA) phones or the iPhone(®) (Apple, Cupertino, CA), only two studies incorporated cost analysis, none was able to identify which features were most responsible for changes in outcomes, and few reported long-term outcomes. All of these areas are important foci for future research.

A retrospective analysis of real-world use of the eaTracker® My Goals website by adults from Ontario and Alberta, Canada

Background

Little is known about use of goal setting and tracking tools within online programs to support nutrition and physical activity behaviour change. In 2011, Dietitians of Canada added “My Goals,” a nutrition and physical activity behaviour goal setting and tracking tool to their free publicly available self-monitoring website (eaTracker® (http://www.eaTracker.ca/)). My Goals allows users to: a) set “ready-made” SMART (Specific, Measurable, Attainable, Realistic, Time-related) goals (choice of n = 87 goals from n = 13 categories) or “write your own” goals, and b) track progress using the “My Goals Tracker.” The purpose of this study was to characterize: a) My Goals user demographics, b) types of goals set, and c) My Goals Tracker use.

Methods

Anonymous data on all goals set using the My Goals feature from December 6/2012-April 28/2014 by users ≥19y from Ontario and Alberta, Canada were obtained. This dataset contained: anonymous self-reported user demographic data, user set goals, and My Goals Tracker use data. Write your own goals were categorized by topic and specificity. Data were summarized using descriptive statistics. Multivariate binary logistic regression was used to determine associations between user demographics and a) goal topic areas and b) My Goals Tracker use.

Results

Overall, n = 16,511 goal statements (75.4 % ready-made; 24.6 % write your own) set by n = 8,067 adult users 19-85y (83.3 % female; mean age 41.1 ± 15.0y, mean BMI 28.8 ± 7.6kg/m²) were included for analysis. Overall, 33.1 % of ready-made goals were from the “Managing your Weight” category. Of write your own goal entries, 42.3 % were solely distal goals (most related to weight management); 38.6 % addressed nutrition behaviour change (16.6 % had unspecific general eating goals); 18.1 % addressed physical activity behaviour change (47.3 % had goals without information on exercise amount and type). Many write your own goals were poor quality (e.g., non-specific (e.g., missing amounts)), and possibly unrealistic (e.g., no sugar). Few goals were tracked (<10 %). Demographic variables had statistically significant relations with goal topic areas and My Goals Tracker use.

Conclusions

eaTracker® users had high interest in goal setting and the My Goals feature, however, self-written goals were often poor quality and goal tracking was rare. Further research is needed to better support users.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3640-6) contains supplementary material, which is available to authorized users.

Self-directed interventions to promote weight loss: a systematic review and meta-analysis

Many self-directed weight-loss interventions have been developed using a variety of delivery formats (e.g., internet and smartphone) and change techniques. Yet, little research has examined whether self-directed interventions can exclusively promote weight loss. MEDLINE, Embase, PsycINFO, CINAHL, and the Cochrane Library were systematically reviewed for randomised controlled trials evaluating self-directed interventions in relation to weight-loss outcomes in adults. Standardised mean differences (SMD) and 95% confidence intervals (CI) were calculated using a random effects model. Twenty-seven trials incorporating 36 comparisons met our inclusion criteria. Participants using self-directed interventions lost significantly more weight (MD = -1.56 kg, CI -2.25, -0.86 ranging from 0.6 to 5.3 kg) compared to those in the minimal intervention or no-treatment groups (3.1-month follow-up median). The majority of interventions were internet based (18 evaluations) and these were effective at 3 months (MD = -1.74 kg, CI -2.65, -0.82 ranging from 0.6 to 4.8 kg) (SMD = -0.48, 95% CI -0.72, -0.24, I(2) = 82%; p < .0001; 16 evaluations) and 6 months follow-up (MD = -2.71 kg, CI -4.03, -1.39 ranging from 2.2 to 5.3 kg) (SMD = -0.59, 95% CI -0.99, -0.19, I(2) = 76%; p = .004; 4 evaluations). Self-directed weight-loss interventions can generate modest weight loss for up to 6 months but may need to be supplemented by other interventions to achieve sustained and clinically meaningful weight loss.

Randomised controlled trial using smartphone website vs leaflet to support antenatal perineal massage practice for pregnant women

BACKGROUND

In Japan, the rate of pregnant women who practice antenatal perineal massage was only 15.1%.

AIM

The aim of this study was to develop and evaluate a smartphone website and a leaflet to support antenatal perineal massage practice for primiparous women.

METHODS

In a randomised control trial, 161 primiparous women were randomly assigned to a smartphone website group (n=81) or a leaflet group (n=80). Data analysis were by per protocol analysis and intention to treat analysis.

FINDINGS

Of the 161 women participants, 47 in the smartphone website group and 49 in the leaflet group completed all questionnaires. Primary outcome was continuance rate (three times a week over a three week period) of antenatal perineal massage practice. The rates by a per protocol analysis were 51.1% in the smartphone website group and 51.0% in the leaflet group, respectively. There was no significant difference between the groups. Moreover, the rates by an intention to treat analysis were 29.6% in the smartphone website group and 31.3% in the leaflet group, respectively. There was also no significant difference between the groups. There were no significant differences in the evaluation of perineal massage, childbirth self-efficacy, satisfaction with efforts towards childbirth, and perineal outcomes following childbirth which were measured as secondary outcomes between the groups.

CONCLUSION

There was no significant difference in continuance rate of antenatal perineal massage practice between those using a smartphone website and those with a leaflet, however, the rate was better than no instructions.

More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention

BACKGROUND

There has been a rise in internet-based health interventions without a concomitant focus on new methods to measure user engagement and its effect on outcomes. We describe current user tracking methods for internet-based health interventions and offer suggestions for improvement based on the design and pilot testing of healthMpowerment.org (HMP).

METHODS

HMP is a multi-component online intervention for young Black men and transgender women who have sex with men (YBMSM/TW) to reduce risky sexual behaviors, promote healthy living and build social support. The intervention is non-directive, incorporates interactive features, and utilizes a point-based reward system. Fifteen YBMSM/TW (age 20-30) participated in a one-month pilot study to test the usability and efficacy of HMP. Engagement with the intervention was tracked using a customized data capture system and validated with Google Analytics. Usage was measured in time spent (total and across sections) and points earned.

RESULTS

Average total time spent on HMP was five hours per person (range 0-13). Total time spent was correlated with total points earned and overall site satisfaction.

CONCLUSION

Measuring engagement in internet-based interventions is crucial to determining efficacy. Multiple methods of tracking helped derive more comprehensive user profiles. Results highlighted the limitations of measures to capture user activity and the elusiveness of the concept of engagement.

Can metabotyping help deliver the promise of personalised nutrition?

Over a decade since the completion of the human genome sequence, the promise of personalised nutrition available to all has yet to become a reality. While the definition was originally very gene-focused, in recent years, a model of personalised nutrition has emerged with the incorporation of dietary, phenotypic and genotypic information at various levels. Developing on from the idea of personalised nutrition, the concept of targeted nutrition has evolved which refers to the delivery of tailored dietary advice at a group level rather than at an individual level. Central to this concept is metabotyping or metabolic phenotyping, which is the ability to group similar individuals together based on their metabolic or phenotypic profiles. Applications of the metabotyping concept extend from the nutrition to the medical literature. While there are many examples of the metabotype approach, there is a dearth in the literature with regard to the development of tailored interventions for groups of individuals. This review will first explore the effectiveness of personalised nutrition in motivating behaviour change and secondly, examine potential novel ways for the delivery of personalised advice at a population level through a metabotyping approach. Based on recent findings from our work, we will demonstrate a novel strategy for the delivery of tailored dietary advice at a group level using this concept. In general, there is a strong emerging evidence to support the effectiveness of personalised nutrition; future work should ascertain if targeted nutrition can motivate behaviour change in a similar manner.

Effectiveness of Interventions Targeting Health Behaviors in University and College Staff: A Systematic Review

Objective.

Evaluate the literature on interventions targeting tertiary education staff within colleges and universities for improvements in health behaviors such as physical activity, dietary intake, and weight loss.

Data Source.

One online database, Medline, was searched for literature published between January 1970 and February 2013.

Study Inclusion and Exclusion Criteria.

All quantitative study designs, including but not limited to randomized controlled trials, quasi-experimental studies, nonrandomized experimental trials, cohort studies, and case-control studies, were eligible.

Data Extraction.

Data extraction was performed by one reviewer using a standardized form developed by the researchers. Extraction was checked for accuracy and consistency by a second reviewer.

Data Synthesis.

Data in relation to the above objective were extracted and described in a narrative synthesis.

Results.

Seventeen studies were identified that focused on staff within the tertiary education setting. The review yielded overall positive results with 13 reporting significant health-related improvements. Weight loss, physical activity and fitness, and/or nutrition were the focus in more than half (n = 9) of the studies.

Conclusion.

This appears to be the first review to examine health interventions for tertiary education staff. There is scope to enhance cross-disciplinary collaboration in the development and implementation of a “Healthy University” settings–based approach to health promotion in tertiary education workplaces. Universities or colleges could serve as a research platform to evaluate such intervention strategies.

eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta-analysis

A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17 September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n = 139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n = 55) of interventions used more than one type of technology, and 43.2% (n = 60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P < 0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P < 0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P < 0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.

Personalising nutritional guidance for more effective behaviour change

Improving diet and other lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the life-course and increasing wellbeing. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Evidence-based, personalised (or stratified) interventions which incorporate effective behaviour change techniques (BCT) and which are delivered digitally are likely to be an important route to scalable and sustainable interventions. Progress in developing such interventions will depend on the outcomes of research on: (i) the best bases for personalisation of dietary advice; (ii) identification of BCT which are proven to enhance intervention efficacy; (iii) suitable platforms (digital-based tools) for collection of relevant participant characteristics (e.g. socioeconomic information, current diet and lifestyle and dietary preferences) linked with intelligent systems which use those characteristics to offer tailored feedback and advice in a cost-effective and acceptable manner. Future research should focus on such interventions aiming to reduce health inequalities and to improve overall public health.

Implementing Heart Healthy Dietary Guidelines

Over recent decades, abundant scientific evidence has led to authoritative dietary guidelines and recommendations for heart healthy eating and lifestyle behaviors. But most children and adults do not regularly achieve these goals. Consequently, our focus must now be on helping individual patients and our communities implement these guidelines in everyday life. This article reviews current evidence for insights and practical techniques that can help individuals move from ideal goals to real practice of heart healthy nutrition and lifestyle behaviors.