Efficacy of a computer-tailored web-based physical activity intervention using Fitbits for older adults: a randomised controlled trial protocol

Alley, Stephanie; Uffelen, Jannique van; Schöeppe, Stephanie; Parkinson, Lynne; Hunt, Susan; Power, Deborah; Duncan, Mitch J.; Schneiders, AG; Vandelanotte, Corneel

doi:10.1136/bmjopen-2019-033305

Cited by 12 publications

(23 citation statements)

References 34 publications

(51 reference statements)

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“…Finally, as the last search was conducted in April 2018, it is possible that more recent trials were not included. We conducted a rapid literature search in PubMed in March 2020 looking for potentially relevant studies published after the last update and identified one published study [89] and six published protocols [90][91][92][93][94][95], which indicates that several trials of e-Health interventions for HA are currently ongoing. We thus recommend to update this systematic review within the next 2 years as more evidence is likely to change the conclusions of the present systematic review.…”

Section: Discussionmentioning

confidence: 99%

e-Health interventions for healthy aging: a systematic review

et al. 2020

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Background: Healthy aging (HA) is a contemporary challenge for population health worldwide. Electronic health (e-Health) interventions have the potential to support empowerment and education of adults aged 50 and over. Objectives: To summarize evidence on the effectiveness of e-Health interventions on HA and explore how specific e-Health interventions and their characteristics effectively impact HA. Methods: A systematic review was conducted based on the Cochrane Collaboration methods including any experimental study design published in French, Dutch, Spanish, and English from 2000 to 2018. Results: Fourteen studies comparing various e-Health interventions to multiple components controls were included. The target population, type of interventions, and outcomes measured were very heterogeneous across studies; thus, a meta-analysis was not possible. However, effect estimates indicate that e-Health interventions could improve physical activity. Positive effects were also found for other healthy behaviors (e.g., healthy eating), psychological outcomes (e.g., memory), and clinical parameters (e.g., blood pressure). Given the low certainty of the evidence related to most outcomes, these results should be interpreted cautiously. Conclusions: This systematic review found limited evidence supporting the effectiveness of e-Health interventions, although the majority of studies show positive effects of these interventions for improving physical activity in older adults. Thus, better quality evidence is needed regarding the effects of e-Health on the physiological, psychological, and social dimensions of HA. Systematic review registration: The review protocol was registered in PROSPERO (registration number: CRD42016033163

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Section: Discussionmentioning

confidence: 99%

e-Health interventions for healthy aging: a systematic review

et al. 2020

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“…[26][27][28][29] Numerous studies also demonstrated the benefits of mHealth towards older adults. [30][31][32][33][34][35][36][37] Research shows that by using mHealth technology alongside medical advice from healthcare professionals, we can help the older adults to develop a healthy lifestyle, such as improving their daily food intake, sleep quality and physical activity. 17 25 26 This will consequently improve their self-efficacy in managing and monitoring their health, especially for those with chronic diseases.…”

Section: Open Accessmentioning

confidence: 99%

“…There is substantial evidence that has shown the effectiveness of mHealth applications in improving self-care, self-management, self-efficacy medication adherence as well as in improving health behaviours with regard to quality of sleep, diet, physical activity and mental health 26–29. Numerous studies also demonstrated the benefits of mHealth towards older adults 30–37. Research shows that by using mHealth technology alongside medical advice from healthcare professionals, we can help the older adults to develop a healthy lifestyle, such as improving their daily food intake, sleep quality and physical activity 17 25 26.…”

Section: Introductionmentioning

confidence: 99%

“…Although there has been a steady increase in the number of studies exploring mHealth adoption among older adults, few have focused on the usage of mobile applications alone. Many studies have focused on the combination of mHealth and electronic health (eHealth) technology, such as the adoption or acceptance of particular websites, telehealth conferences, wearable devices such as fitness trackers and other types of gadgets 26 27 35–37. Moreover, few studies have explored the perceptions of older adults towards the use of mobile applications for health-related purposes including the willingness to use mHealth, as well as perceived motivators and barriers 26.…”

Section: Introductionmentioning

confidence: 99%

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Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review

et al. 2022

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ObjectivesThis scoping review aims to identify the level of willingness, the existing barriers, and motivators among older adults in using mobile applications to monitor and manage their health conditions. The secondary aim of this paper is to categorise these willingness, barriers and motivators using the Theoretical Domains Framework (TDF).DesignScoping review.Data sourcePubMed, Embase, CINAHL, Cochrane Library, Google Scholar and Science Direct (January 2009–December 2020).Study selectionStudies that describe older adults’ perspectives with regard to their willingness, barriers or motivators towards the use of mobile applications in monitoring and managing their health condition were included.Data extractionTitles and abstracts were initially screened by two reviewers. Articles agreed by both reviewers were proceeded to full-text screening. One reviewer extracted the data, which were verified by a second reviewer. Findings were further classified according to the 14 TDF domains by two researchers.ResultsSix studies were included in the final scoping review. Barriers to adopting mobile applications for health-related interventions among older adults were the most common topic identified in the included studies. Barriers included being unaware of the existence of mobile health applications, lack of technological skills, lack of perceived ability and time, absence of professional involvements, and violation of trust and privacy. With regard to willingness, older adults are willing to use mobile applications if the apps incorporated features from a trusted source and have valid credentials. Motivators included continuous improvements of mobile applications’ design interface and personalised features tailored to older adults’ needs.ConclusionsWith the constant research for more diversified technology, the development of mobile applications to help older adults to manage and monitor health is seen as feasible, but barriers have to be addressed. The most prominent barriers linked to TDF domains were: (1) technological skills, (2) belief about consequences, and (3) memory, attention and decision process. Future interventions should use behaviour change techniques that target these three TDF domains in order to improve the ability to engage older adults with mobile technology.

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“…Most of the interventions included feedback on the targeted health behavior (9/11, 82%) [ 12 , 19 , 20 , 36 , 37 , 39 - 41 , 43 - 45 , 48 - 50 ] and self-monitoring of the behavior (8/11, 73%) [ 12 , 19 , 20 , 36 - 41 , 43 , 48 - 52 ]. Other BCTs used included action planning (5/11, 45%) [ 36 , 41 , 43 - 47 ], goal setting (4/11, 36%) [ 12 , 19 , 20 , 37 , 41 , 43 , 48 - 50 ], problem solving (4/11, 36%) [ 12 , 19 , 20 , 37 , 41 , 46 - 50 ], awareness (1/11, 9%) [ 46 , 47 ], verbal persuasion (1/11, 9%) [ 39 , 40 ], commitment (1/11, 9%), self-regulation (1/11, 9%) [ 44 , 45 ], prompts and cues (1/11, 9%), rewards (1/11, 9%), social comparison (1/11, 9%), and relapse prevention (1/11, 9%) [ 43 ]. Although common techniques were identified, they were rarely explained by the authors, which makes their definition and application unclear.…”

Section: Resultsmentioning

confidence: 99%

Web-Based Interventions to Promote Healthy Lifestyles for Older Adults: Scoping Review

Lavoie¹,

Dubé²

2022

Interact J Med Res

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Background With the aging of the population and rising rates of chronic diseases, web-based interventions could be considered to support older adults in adopting healthy lifestyles. To date, published knowledge syntheses have focused on quantitative studies among older adults aged ≥50 years. However, those aged ≥65 years may have different needs to be met by these interventions because of the biological and physiological changes associated with aging, and qualitative studies could help advance knowledge in this field. Objective The objective of this scoping review is to explore the extent of the literature on web-based interventions aimed at promoting healthy lifestyles among people aged ≥65 years. Methods A scoping review was conducted based on the framework proposed by Levac et al. Six databases (ie, MEDLINE, CINAHL, PsycINFO, Web of Science, the Cochrane Database of Systematic Reviews, and the Joanna Briggs Library) and gray literature (ie, Google Scholar and OpenGrey) were searched. The final search was conducted on June 23, 2021. The studies were selected by 2 persons (AL and ML) independently. The included studies were systematic reviews and qualitative and quantitative studies focusing on web-based interventions to promote healthy lifestyles in people aged ≥65 years that were published in French or English between 1990 and 2021. Data were extracted in a table and synthesized based on the conceptualization of web-based interventions (ie, according to the use parameters, behavior change techniques, delivery modes, and theories). A thematic analysis was performed. Results In total, 20 articles were included in this review, which represents studies focused on 11 distinct interventions. All of the interventions (11/11, 100%) aimed to promote physical activity among older adults. The number of intervention sessions varied from 5 to 16, with a frequency from daily to once every 2 weeks. Diverse delivery modes such as electronic diary, video, and phone call were found. The most used behavior change techniques were instruction, feedback, and self-monitoring. Few interventions (6/11, 55%) were based on a theory. A favorable trend was observed in increasing physical activity, and 5 themes emerged that appeared to be central to behavior change among older adults: motivation, support, tailoring, barriers, and perceptions. Conclusions This scoping review provides a better understanding of the components of web-based interventions and their outcomes on the healthy lifestyles of people aged ≥65 years. These findings could provide important guidance for the design and development of future web-based interventions in this field. Further research is needed to continue the development and evaluation of innovative and accessible interventions to promote healthy lifestyles among older adults. International Registered Report Identifier (IRRID) RR2-10.2196/23207

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Efficacy of a computer-tailored web-based physical activity intervention using Fitbits for older adults: a randomised controlled trial protocol

Cited by 12 publications

References 34 publications

e-Health interventions for healthy aging: a systematic review

e-Health interventions for healthy aging: a systematic review

Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review

Web-Based Interventions to Promote Healthy Lifestyles for Older Adults: Scoping Review

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