Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions

Young, Claire; Campolonghi, Sara; Ponsonby, Stephanie; Dawson, Steve; O’Neil, Adrienne; Kay‐Lambkin, Frances; McNaughton, Sarah A.; Berk, Michael; Jacka, Felice N.

doi:10.1016/j.jneb.2019.03.006

Cited by 22 publications

(27 citation statements)

References 50 publications

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“…No evidence was found regarding an association with subjective experience. Whilst it has been hypothesized that the modest effects of dietary DHIs are due to poor engagement [ 18 ], the findings do not yet support this and provide little guidance as to which components of engagement to target to enhance the effectiveness of DHIs. Given the reliance on many public health nutrition strategies on DHIs [ 30 , 46 ], a better understanding of the nature of the relationship is a priority for the field.…”

Section: Discussionmentioning

confidence: 99%

“…This randomized controlled trial of an online intervention found that more frequent website visits were associated with increased fruit-and-vegetable intake ( p < 0.001) [ 17 ]. Since the 2011 review, there have been a large increase in research of DHIs targeting dietary intake [ 12 , 18 ]. This provides an opportunity to better understand the association between DHI engagement and dietary intake.…”

Section: Introductionmentioning

confidence: 99%

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Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review

et al. 2021

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There has been a proliferation of digital health interventions (DHIs) targeting dietary intake. Despite their potential, the effectiveness of DHIs are thought to be dependent, in part, on user engagement. However, the relationship between engagement and the effectiveness of dietary DHIs is not well understood. The aim of this review is to describe the association between DHI engagement and dietary intake. A systematic search of four electronic databases and grey literature for records published before December 2019 was conducted. Studies were eligible if they examined a quantitative association between objective measures of engagement with a DHI (subjective experience or usage) and measures of dietary intake in adults (aged ≥ 18 years). From 10,653 citations, seven studies were included. Five studies included usage measures of engagement and two examined subjective experiences. Narrative synthesis, using vote counting, found mixed evidence of an association with usage measures (5 of 12 associations indicated a positive relationship, 7 were inconclusive) and no evidence regarding an association with subjective experience (both studies were inconclusive). The findings provide early evidence supporting an association between measures of usage and dietary intake; however, this was inconsistent. Further research examining the association between DHI engagement and dietary intake is warranted.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review

et al. 2021

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“…Engaging users is a common challenge with online programs [14], so several strategies were implemented to enhance engagement including; heightened UX, regular monitoring of site and responding to feedback, new content added each week, multi-channel marketing and encouragement to track progress over time. Engagement data from the current website are promising when compared with published data for other health behaviour platforms.…”

Section: User Engagementmentioning

confidence: 99%

“…Online programs have the potential to overcome these barriers, with opportunities to improve reach, accessibility, scalability and achieving cost-effectiveness [12,13]. However, they are commonly reported to have limited ability to engage and retain participants [14]. A review of engagement among 21 online dietary interventions identified low to moderate rates of attrition for those reporting significant positive changes in diet [14].…”

Section: Introductionmentioning

confidence: 99%

“…However, they are commonly reported to have limited ability to engage and retain participants [14]. A review of engagement among 21 online dietary interventions identified low to moderate rates of attrition for those reporting significant positive changes in diet [14]. Therefore, greater understanding of how to reach and engage individuals over sustained periods in a 'real world' context is necessary to achieve long-term improvements in diet and have an impact on individual and population health.…”

Section: Introductionmentioning

confidence: 99%

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Process Evaluation of the ‘No Money No Time’ Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study

Ashton

Rollo

Adam

et al. 2021

IJERPH

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Background: Reaching and engaging individuals, especially young adults, in web-based prevention programs is challenging. ‘No Money No Time’ (NMNT) is a purpose built, healthy eating website with content and a social marketing strategy designed to reach and engage a young adult (18–34 year olds) target group. The aim of the current study was to conduct a process evaluation of the 12-month social marketing strategy to acquire and engage NMNT users, particularly young adults. Methods: a process evaluation framework for complex interventions was applied to investigate the implementation of the social marketing strategy component, mechanisms of impact and contextual factors. Google Analytics data for the first 12 months of operation (17 July 2019 to 17 July 2020) was evaluated. Results: in year one, 42,413 users from 150+ countries accessed NMNT, with 47.6% aged 18–34 years. The most successful channel for acquiring total users, young adults and return users was via organic search, demonstrating success of our marketing strategies that included a Search Engine Optimisation audit, a content strategy, a backlink strategy and regular promotional activities. For engagement, there was a mean of 4.46 pages viewed per session and mean session duration of 3 min, 35 s. Users clicked a ‘call-to-action’ button to commence the embedded diet quality tool in 25.1% of sessions. The most common device used to access NMNT (63.9%) was smartphone/mobile. Engagement with ‘quick, cheap and healthy recipes’ had the highest page views. Conclusions: findings can inform online nutrition programs, particularly for young adults, and can apply to other digital health programs.

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A Framework Design of National Healthy Diet Monitoring System

Chen

Shang

2019

Smart Health

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Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions

Cited by 22 publications

References 50 publications

Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review

Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review

Process Evaluation of the ‘No Money No Time’ Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study

A Framework Design of National Healthy Diet Monitoring System

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