Pilot study of a smartphone-based intervention to promote cancer prevention behaviours

Feasibility and Acceptability Evaluation of a Digital Therapeutic Program for Improving Cancer Prevention: A Quasi-experimental Pre-post Interventional Pilot Study

Previous studies have proved that healthy behaviors hinder the onset and progression of tumors. Digital therapeutics (DTx), playing a pivotal role in facilitating behavioral adjustments through educational interventions, lifestyle support, and symptom monitoring, contribute to the goal of tumor prevention. We aim to optimize the evaluation of the feasibility and acceptability of DTx for cancer prevention. This involves assessing AITI's daily activity rates and user feedback, and comparing changes in behavioral habits and differences in SF-36 before and after the intervention. In a 4-week trial with 57 participants engaging actively, we found both the average daily activity rate and 4-week retention rate at 35 (61.4%). The USE Questionnaire scores (validity, ease of use, acquisition, and satisfaction) ranged from 68.06 to 83.10, indicating AITI's user-friendliness and acceptability. Furthermore, positive habit changes were noted among participants in exercise and diet (p < 0.0001), suggesting the effectiveness of the DTx approach in modifying behavioral habits related to physical activity and nutrition. This pilot study underscores the potential of DTx in advancing cancer prevention. However, larger and longer studies are needed to comprehensively assess its impact.

A study to assess the feasibility of using a novel digital animation to increase physical activity levels in asylum seeking communities

The mental health benefits of physical activity and exercise are well-documented and asylum seekers who may have poor mental health could benefit from undertaking recommended levels of physical activity or exercise. Digital mobile applications are increasingly seen as feasible to precipitate behaviour change and could be a means to encourage asylum seekers to increase their levels of physical activity and exercise. This paper reports on a study that aimed to assess the feasibility of asylum seekers using the digital animation as a tool to change behaviour and increase their physical activity and exercise levels. A feasibility study underpinned by the principles of the COM-B behaviour change model was undertaken in West Yorkshire, UK, in 2019. Thirty participants were purposively recruited and interviewed. Peer interpreters were used as necessary. Deductive thematic analysis was undertaken to analyse the data. Overall, participants were positive about the feasibility of asylum seekers using the application as a behaviour change intervention. All expressed the view that it was easy to follow and would motivate them to increase their physical activity levels. Participants identified facilitators to this as the simplicity of the key messages, the cultural neutrality of the graphics and the availability of the mobile application in different languages. Identified barriers related to the dialect and accents in the translations and the over-simplicity of the application. This study has identified that a targeted digital animation intervention could help asylum seekers change their behaviour and hence improve their health and well-being. In designing such interventions, however, researchers must strongly consider co-design from an early stage as this is an important way to ensure that the development of an intervention is fit for purpose for different groups.

User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review

Background

Physical activity and a diet that follows general recommendations can help to prevent noncommunicable diseases. However, most adults do not meet current recommended guidelines, and support for behavior change needs to be strengthened. There is growing evidence that shows the benefits of eHealth and mobile health (mHealth) services in promoting healthy habits; however, their long-term effectiveness is uncertain because of nonadherence.

Objective

We aimed to explore users’ perceptions of acceptability, engagement, and usability of eHealth and mHealth services that promote physical activity, healthy diets, or both in the primary or secondary prevention of noncommunicable diseases.

Methods

We conducted a systematic review with a narrative synthesis. We performed the literature search in PubMed, PsycINFO, and CINAHL electronic databases in February 2021 and July 2021. The search was limited to papers published in English between 2016 and 2021. Papers on qualitative and mixed method studies that encompassed eHealth and mHealth services for adults with a focus on physical activity, healthy diet, or both in the primary or secondary prevention of noncommunicable diseases were included. Three authors screened the studies independently, and 2 of the authors separately performed thematic analysis of qualitative data.

Results

With an initial finding of 6308 articles and the removal of 427 duplicates, 23 articles were deemed eligible for inclusion in the review. Based on users’ preferences, an overarching theme—eHealth and mHealth services provide value but need to be tailored to individual needs—and 5 subthemes—interactive and integrated; varying and multifunctional; easy, pedagogic, and attractive; individualized and customizable; and reliable—emerged.

Conclusions

New evidence on the optimization of digital services that promote physical activity and healthy diets has been synthesized. The findings represent users’ perceptions of acceptability, engagement, and usability of eHealth and mHealth services and show that services should be personalized, dynamic, easily manageable, and reliable. These findings can help improve adherence to digital health-promoting services.

Prevalence and Age-Related Patterns in Health Information-Seeking Behaviors and Technology Use Among Skin Cancer Survivors: Survey Study

Background

Information is an unmet need among cancer survivors. There is a paucity of population-based data examining the health information-seeking behaviors and attitudes of skin cancer survivors.

Objective

We aimed to identify the prevalence and patterns of health information-seeking behaviors and attitudes among skin cancer survivors across age groups.

Methods

We analyzed population-based data from the 2019 Health Information National Trends Survey 5 (Cycle 3).

Results

The 5438 respondents included 346 (6.4%) skin cancer survivors (mean age 65.8 years); of the 346 skin cancer survivors, the majority were White (96.4% [weighted percentages]), and 171 (47.8%) were men. Most reported having ever looked for health- (86.1%) or cancer-related (76.5%) information; 28.2% stated their last search took a lot of effort, and 21.6% were frustrated. The internet was most often cited as being the first source that was recently used for health or medical information (45.6%). Compared to skin cancer survivors younger than 65 years old, those 65 years of age or older were more likely to see a doctor first for important health information (≥65 years: 68.3%;<65 years: 36.2%; P<.001) and less likely to have health and wellness apps (≥65 years: 26.4%; <65 years: 54.0%, P=.10), to have watched a health-related YouTube video (≥65 years: 13.3%; <65 years: 27.4%; P=.02), and to have used electronic means to look for information (≥65 years: 61.4%;<65 years: 82.3%, P<.001).

Conclusions

Searches for health information are common among skin cancer survivors, but behaviors and attitudes are associated with age, which highlights the importance of access to doctors and personalized information sources.

Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: A systematic literature review

INTRODUCTION

Engagement is essential to achieve intended outcomes of online interventions, but achieving such engagement is a key challenge for many researchers and practitioners. This systematic literature review aims to identify strategies and tools to promote the use of online health interventions for early detection and raising awareness of chronic diseases among the public, and to investigate the evidence regarding the effectiveness of such strategies.

MATERIALS AND METHODS

We performed a systematic search of seven electronic databases: Embase, Medline All Ovid, Web of Science, Cochrane Central Register of Controlled Trials, PsycINFO, CINAHL and Google Scholar. The study protocol is registered in PROSPERO (CRD42020200471).

RESULTS

The database search identified 8,526 articles, 47 were included in the review. Thirty-two studies reported strategies to promote the use of their online intervention, including online advertisements on social media (n = 17), a dating application (n = 10), and a website (n = 3). Social media were not only used for promotion of the intervention, but also as main intervention platform (n = 18). Seven studies reported traditional promotion methods such as printed advertisement and (offline) campaigns. Twenty-seven studies reported strategies to keep users engaged, including reminders (n = 12), sharing of posts on social media (n = 4), rewards (n = 3), weekly group discussions (n = 2), follow-up phone calls (n = 2), interactive games (n = 1), monthly quizzes (n = 1), links to provision of a test kit (n = 1), and a deposit-return system (n = 1).

CONCLUSIONS

No study conducted a formal evaluation of the effectiveness of the engagement strategies. Examining the effectiveness of engagement strategies is an important area for further research.

App Designs and Interactive Features to Increase mHealth Adoption: User Expectation Survey and Experiment

Background

Despite the ubiquity of smartphones, there is little guidance for how to design mobile health apps to increase use. Specifically, knowing what features users expect, grab their attention, encourage use (via predicted use or through positive app evaluations), and signal beneficial action possibilities can guide and focus app development efforts.

Objective

We investigated what features users expect and how the design (prototypicality) impacts app adoption.

Methods

In a web-based survey, we elicited expectations, including presence and placement, for 12 app features. Thereafter, participants (n=462) viewed 2 health apps (high prototypicality similar to top downloaded apps vs low prototypicality similar to research interventions) and reported willingness to download, attention, and predicted use of app features. Participants rated both apps (high and low) for aesthetics, ease of use, usefulness, perceived affordances, and intentions to use.

Results

Most participants (425/462, 92%) expected features for navigation or personal settings (eg, menu) in specific regions (eg, top corners). Features with summary graphs or statics were also expected by many (395-396 of 462, 86%), with a center placement expectation. A feature to “share with friends” was least expected among participants (203/462, 44%). Features fell into 4 unique categories based on attention and predicted use, including essential features with high (>50% or >231 of 462) predicted use and attention (eg, calorie trackers), flashy features with high attention but lower predicted use (eg, links to specific diets), functional features with modest attention and low use (eg, settings), and mundane features with low attention and use (eg, discover tabs). When given a choice, 347 of 462 (75%) participants would download the high-prototypicality app. High prototypicality apps (vs low) led to greater aesthetics, ease of use, usefulness, and intentions, (for all, P<.001). Participants thought that high prototypicality apps had more perceived affordances.

Conclusions

Intervention designs that fail to meet a threshold of mHealth expectations will be dismissed as less usable or beneficial. Individuals who download health apps have shared expectations for features that should be there, as well as where these features should appear. Meeting these expectations can improve app evaluations and encourage use. Our typology should guide presence and placement of expected app features to signal value and increase use to impact preventive health behaviors. Features that will likely be used and are attention-worthy—essential, flashy, and functional—should be prioritized during app development.

Cues for Increasing Social Presence for Mobile Health App Adoption

As mobile health apps become increasingly influential in daily life, they present an important opportunity for health communication for disease prevention. User impressions of app designs are influential for adoption. Using cues to increase feelings of being with others (social presence) is one way to encourage favorable impressions and health app adoption. To examine the impact of social context cues (conversation cues vs. community cues vs. no cue control) on two forms of social presence (emergent and transcendent social presence), we conducted an online experiment (n = 587) with US adults. We also examined the indirect effects of conversation and community cues through social presence on app trust, perceived ease of use, perceived usefulness, and intentions to use the app. We found that conversational cues elicited intended feelings for new, emergent interactions and that community cues increased perceptions of ongoing or established social formations for transcendent interactions. These cues also had positive indirect effects for increased trust, perceived usefulness, and intentions to use the health apps and should be considered when developing mHealth to improve uptake and delivery of health promotion online.

Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement

AIMS

To identify mobile health applications with features for improving the lifestyle of patients with chronic diseases.

METHODS

We performed a systematic literature review between November 2017 and May 2018 on the Virtual Health Library's interface. A total of 816 records were identified. In the selection process, 24 studies met inclusion criteria for analysis. Study characteristics were extracted and synthesized.

RESULTS

We identified applications with similar functionalities, such as the use of reminders and medical monitoring. Most of them addressed the treatment of conditions related to an already diagnosed chronic disease, including Diabetes Mellitus, Hypertension, Cardiovascular Diseases, Asthma, Neoplasms, and chronic conditions in general. The main lifestyle changes were the reduction of body weight, promotion of healthy eating, and adherence to the regular practice of physical exercises.

CONCLUSIONS

Technology can facilitate health care with simple messages and alerts that aid in adherence to treatment. Changes in lifestyle with the use of applications are remarkable. Benefits may be even greater if more applications address the importance of prevention and not just treatment.