Mobile phone applications to overcome malnutrition among preschoolers: a systematic review

Malnutrition is one of the most important reasons for child mortality in developing countries, especially during the first 5 years of life. Malnutrition is a condition of deficiency or excess of nutrients which leads to sensible adverse effects on body composition and functionality [1‐3]. According to World Health Organization (WHO) reports, 52 million children under 5 years of age are wasted, 17 million are severely wasted and 155 million are stunted, while 41 million are overweight or obese [4]. It is well known that early deficiencies in the intake of nutrients not only have a negative influence on child health and development, but it also reduces work efficiency and leads to poor reproductive outcomes in adult life through impaired immune response and susceptibility to infections, digestive problems, predisposing for vicious cycles of recurring sickness, faltering growth and diminished learning ability [5‐8]. On the other hand, children who are overweight during their pre-school years tend to remain overweight throughout childhood and adolescence, which increases the risk suffering of cardiovascular disease, several forms of cancer, diabetes, and other chronic illnesses [9, 10]. The causal chain leading to malnutrition in early childhood is complex with a variety of direct and underlying contributors including household access to food and the distribution of this food within the household, inadequate maternal and child care practices, and poor access to health-care services [11, 12]. Knowledge of these factors is an essential prerequisite for determining intervention programs addressing preschoolers malnutrition [13]. A recent review of factors influencing information and communication technology (ICT) introduction in health services showed that one main type of technology that has been adopted by broad categories of healthcare users and patients is mobile and cell phone technologies and these kind of studies are going to be published broadly [14, 15]. At present, mobile technologies allow development of mHealth (mobile health) interventions that have promised to be a useful and low-cost way to disseminate information about proper nutrition and a critical source of motivation for behavioral change [16, 17]. A systematic review has investigated the effect sizes of pediatric obesity intervention studies using of mobile technology within the elementary school students. Based on four included studies, analyses showed that the mobile interventions positively affected dropout rates, but had no influence on weight control, exercise, and sugar-sweetened beverage intake [18]. Another systematic review of the effectiveness of using smartphones on child and adolescent overweight reported a significant effect on Body Mass Index (BMI) z-scores [19]. Furthermore, a recent review identified a number of weight management applications developed for children > 12 years. Most were free or inexpensive to download and accordingly attractive for parents of obese children. The investigations found the overall quality of the application contents generally being very poor and not based on credible dietary guideline [20]. To our knowledge, no reviews have been conducted on dietary interventions based on mobile phone applications addressing preschoolers’ malnutrition.

We set out to systematically review evaluations of interventions that use mobile phone applications to overcome malnutrition among preschoolers.

The review was conducted and reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses: the PRISMA statement [21].

The seven articles fulfilling the review criteria reported studies with designs ranging from case studies to RCTs. All articles were published between 2015 and 2017. Four of the reported interventions were conducted using a mobile phone application, and two interventions used the combination of SMS on mobile phone and an ICT tool or face-to-face visit interventions. Table 1 shows the main characteristics of the included publications.

The review revealed from evaluations of mobile phone based interventions to improve nutritional conditions among preschoolers that although mobile communication is now part of the everyday life in most global settings, the use of mHealth applications to provide health information and care is still challenging. It has been pointed out that the essential considerations for successful implementation of mHealth innovations include consideration of local infrastructure and the importance of building supportive environments [29]. A key finding in our review is that studies in low- and middle-income countries (LMICs), reflecting impact from local conditions, reported infrastructural and technical limitations to implement mHealth ranging from low network capacity, inadequate distribution of signal strength, and low access to mobile phones to specific technical barriers, such as delay in database updating. These observations add relevance to the suggestion that cooperation between government organizations, academia, and industry is necessary to provide sufficient infrastructure support for mHealth use in LMICs [30].

Another main result of our review is that only one article [24], reporting a 6-month intervention involving healthy Swedish children aged 4.5 years via a smartphone application that provided educational information, addressed primary outcomes. The authors found no difference between the intervention and control group concerning FMI measurements. This can be resulted from several factors; one of them considered to be inclusion of all kids regardless of baseline FMI, i.e. also children with normal weight and body fat. The mHealth interventions period was limited and these interventions did not fundamentally change the anthropometric measurements. However lifestyle were promoted changes that may ultimately result in healthier body composition. For providing mHealth interventions that impact anthropometric outcomes among children and adolescents, it is suggested that the duration of interventions measuring BMI levels extend longer than 20 weeks [31]. Moreover, it has been argued that a high quality economic evaluations of public health intervention is needed which can estimate costs and effects which looks more responsive to the needs of the decision makers using them [32‐34]. Contrary to our expectations, none of the included studies assessed the economics aspect of the investigated health application in a clear way, but the authors of one article indicated an economic evaluation of the program will be performed in the future [23].

The main mechanism by which mobile phone technologies support at risk of nutrition-related disorders is by raising patient involvement and increasing self-management abilities [35, 36]. The most frequent barrier towards combating pediatric nutritional problems that was expressed by study practitioners was lack of parent involvement [37]. But in contrast to adults who can accept the responsibility of monitoring and adjusting their own treatment, the liability of nutritional interventions in preschoolers is by their parents [38, 39]. Therefore, guidance in parenting methods and behavioral management procedures should be considered as key areas in mHealth interventions aimed at preventing or treating children’s nutrition-related problems [37, 40].

Although the insights gained from our study provided positive signals concerning the acceptance of mobile phone based nutritional interventions addressing preschoolers, obstacles such as lack of time, cost, support staff, right referral resources, concern about parental responses, and lack of knowledge, skills and training in the area were reported. For instance, sever variations in compatibility between manufacturers affecting the use of a barcode scanner, have been reported. As the solution, the authors suggested use of the iPhone Operating System (iOS) platform, known seldom to be associated with compatibility issues. It can thus be recommended that logistic support, staff time, consumer preference, and cost factors are investigated before starting mHealth programs. Thoroughly understanding stakeholders’ utilization of mobile phones can be helpful in recognizing key indicators identified with feasibility and ideal usage of such innovation to avert or potentially diminish the rate of wellbeing related issues [41]. Several studies have indicated generally positive attitudes toward telecommunication and mHealth strategies [42, 43]. A qualitative study among health care providers that surveyed attitudes towards mHealth reported that potential advantages of incorporating mHealth technology also include the lessening of literacy obstructions, writing mistakes and redundancy, and an expanded feeling of privacy for the clients, even though significant concerns expressed by providers included increased network connectivity needs and liability for the devices [44].

In our review only one of the studies has used an intervention that is relied on CBSB. mHealth tools have the potential to become involved with users in real time and in highly tailored ways to encourage healthy habits, based on collection of personal data, gathered feedbacks from the user and activity levels [45, 46]. There are some concerns about incorporating evidence-based content and theory-based strategies alongside promoting behavioral changes. Several investigators have suggested for using of models to inform the design of Behavioral Intervention Technologies (BITs) as a key strategy [47‐51]. For example Fogg in his model introduced behavior as a product of three factors: motivation, ability, and triggers which must occur at the same moment, else the behavior will not happen [49]. But in another study by David C Mohr et al. these models have been said offer little information on how to design and implement BITs. So an expansive hybrid framework that consolidates behavioral standards with technological aspects has been suggested by them. This framework can be helpful to connect the fields of behavioral science and technology [52].

Limitations in this systematic review included a risk of review bias. Important findings may have been overlooked from excluded studies not published in English or that involved mobile application interventions for children and adolescents out of our age criteria. The small number of available studies, especially randomized controlled trials, limits this review. The use of applications for nutrition education is relatively new, and there is much research to be done.

A key finding in our review is that studies in LMICs reported important infrastructural and technical limitations to implement mHealth ranging from low network capacity, inadequate distribution of signal strength, and low access to mobile phones to specific technical barriers, such as delay in database updating. Also, only one study was identified evaluating primary anthropometric outcomes, indicating a need for more controlled studies of these primary endpoints. The review findings put relevance to the suggestion that cooperation between government organizations, academia, and industry is necessary to provide sufficient infrastructure support for mHealth use in LMICs. They also point to a need for enhanced strategies to motivate intervention participation by use of means such as newspaper and social media advertisements, health workers advice, and motivational gifts.

While several review studies have examined the role of mobile technology in nutritional interventions to promote proper diet and nutrition or to lose weight in adults [10, 16, 53] and adolescents [19], to the best of our knowledge, no reviews have focused on the role of mobile for addressing malnutrition (both under-nutrition and over-nutrition) issues for the sensitive age group of preschoolers which is critical in their growth and development. Furthermore, one featured points of our study is an almost comprehensive evaluation of the interventional articles in an extensive domain including users’ perceptions, technical and usability, usage and adoption factors and Efficacy of the intervention, which can provide significant opportunities for future research by concerning wide aspects.