Use of Evidence-Based Best Practices and Behavior Change Techniques in Breast Cancer Apps: Systematic Analysis

Assessing the Quality, Privacy, and Security of Breast Cancer Apps for Arabic Speakers: Systematic Search and Review of Smartphone Apps

BACKGROUND

Breast cancer is a widespread disease, and its incidence is rapidly increasing in the Middle East and North Africa region. With the increasing availability of smartphone apps for various health purposes, breast cancer apps have emerged as tools for raising awareness, providing support, and empowering women affected by this disease. These apps offer many features, including information on breast cancer risk factors, self-examination guides, appointment reminders, and community support groups or hotlines. Using apps raises the risk of privacy and security issues, and we hope that examining these features of the apps will contribute to the understanding of how technology can be used to improve these apps and provide insights for future development and improvement of breast cancer apps.

OBJECTIVE

This study aims to critically review the quality, privacy, and security of breast cancer apps available to Arabic speakers.

METHODS

Similar to several recent studies, we used a systematic search for apps available in Google Play and Apple App stores using both the web interface and the built-in native stores installed on smartphones. The search was conducted in mid-December 2022 in Arabic using the following keywords: سرطان الثدي - فحص سرطان الثدي - علاج سرطان الثدي - مرض سرطان الثدي - أعراض سرطان الثدي - فحص الثدي (breast cancer, breast cancer treatment, breast cancer disease, breast cancer symptoms, breast cancer screening, and breast test). These preidentified search terms are based on earlier work concerning the top searched breast cancer topics by Arabic speakers through Google's search engine. We excluded apps that did not have an Arabic interface, were developed for non-Arabic speakers, were paid, needed a subscription, or were directed toward health care workers. The Mobile App Rating Scale was used to evaluate the quality of the apps concerning their engagement, functionality, aesthetics, and information. A risk score was calculated for the apps to determine their security risk factors.

RESULTS

Only 9 apps were included, with most (6/9, 67%) being supported by advertisements and categorized as informational. Overall, the apps had low numbers of downloads (>10 to >1000). The majority of the included apps (8/9, 89%) requested dangerous access permissions, including access to storage, media files, and the camera. The average security score of the included apps was 3.22, while only 2 apps provided information about data security and privacy. The included apps achieved an overall average quality score of 3.27, with individual dimension scores of 4.75 for functionality, 3.04 for information, 3.00 for aesthetics, and 2.32 for engagement.

CONCLUSIONS

The limited availability of breast cancer apps available to Arabic speakers should be a call to action and prompt health care organizations and developers to join forces and collaboratively develop information-rich, usable, functional, engaging, and secure apps.

Clinical and psychosocial constructs for breast, cervical, and colorectal cancer screening participation: A systematic review

Research has identified a wide range of psychosocial factors associated to choosing to engage in ongoing cancer screenings. Nevertheless, a systematic review of the theoretical frameworks and constructs underpinning studies on breast, cervical, and colorectal cancer screening participation has yet to be conducted. As part of the action-research project “Miriade,” the present study aims to identifying the main theoretical frameworks and constructs adopted in the literature over the past five years to explain cancer screening participation. According to the PRISMA guidelines, a search of the MEDLINE/PubMed and PsycINFO databases was made. Empirical studies conducted from 2017 to 2021 were included. The following keywords were used: breast OR cervical OR colorectal screening AND adhesion OR participation OR engagement AND theoretical framework OR conceptual framework OR theory. Overall, 24 articles met the inclusion criteria. Each theoretical framework highlighted clinical and psychosocial constructs of cancer screening participation, focusing on the individuals (psycho-emotional functioning and skills plan) and/or the health services perspectives. Findings from the present study acknowledge the plurality of the theoretical frameworks and constructs adopted to predict or promote breast, cervical, and colorectal cancer screening adhesion and the need for new research efforts to improve the effectiveness of cancer screening promotion interventions.

Systematic Evaluation of the Behavior Change Techniques and Quality of Commercially Available Cancer Self-Management Apps

PURPOSE

Apps have the potential to aid in cancer self-management, but there is limited guidance available for selecting among currently available options. The purpose of this study is to evaluate the behavior change techniques (BCTs) and quality of publicly available cancer self-management apps.

METHODS

Cancer self-management apps were identified from the Apple and Google Play stores in April 2022. Trained study team members coded the BCTs included in each app and rated its quality using the Mobile App Rating Scale (MARS). BCTs supported by previous literature were coded as cancer management BCTs.

RESULTS

The 39 apps meeting inclusion criteria included an average of 5.85 BCTs (standard deviation [SD], 3.49; range, 0-15) and 3.54 cancer management BCTs (SD, 1.90; range, 0-8). The most commonly included BCTs were educational or informational strategies: provide information about behavior-health link, provide instruction, and provide information on consequences. The overall app quality ranged from 1.69 to 4.20 (M, 3.29; SD, 0.67).

CONCLUSION

No cancer self-management apps were of excellent quality, and less than half included multiple cancer management BCTs beyond education. Clinical implications are discussed, and opportunities to improve the content and quality of apps to address the critical self-management needs of patients diagnosed with cancer are highlighted.

Behavior change techniques in digital physical activity interventions for breast cancer survivors: a systematic review

Given the broad benefits of physical activity (PA) but low PA levels among breast cancer survivors (i.e., women who have received a breast cancer diagnosis), innovative and evidence-based techniques are needed to motivate and support exercise. This study systematically reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. Studies were retrieved from five electronic databases and were included if they (i) sampled exclusively female breast cancer survivors aged >18 years, (ii) involved a digital intervention with the primary purpose of increasing PA, (iii) included a BCT component, (iv) used a randomized or quasi-randomized design, and (v) were published from January 2000 to May 2022. Two coders independently extracted data. Twenty primary studies met the inclusion criteria and were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2-13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA behavior in the intervention vs. control group, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review, including critical constructs for PA behavior change (e.g., biofeedback). BCTs, important facilitators of PA behavior change, are being underutilized in digital PA interventions for breast cancer survivors. Future research should incorporate more diverse BCTs to explore if they can add to the effectiveness of digital interventions for this population.

mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review

Background

The popularization of mobile health (mHealth) apps for public health or medical care purposes has transformed human life substantially, improving lifestyle behaviors and chronic condition management.

Objective

This review aimed to identify behavior change techniques (BCTs) commonly used in mHealth, assess their effectiveness based on the evidence reported in interventions and reviews to highlight the most appropriate techniques to design an optimal strategy to improve adherence to data reporting, and provide recommendations for future interventions and research.

Methods

We performed a systematic review of studies published between 2010 and 2021 in relevant scientific databases to identify and analyze mHealth interventions using BCTs that evaluated their effectiveness in terms of user adherence. Search terms included a mix of general (eg, data, information, and adherence), computer science (eg, mHealth and BCTs), and medicine (eg, personalized medicine) terms.

Results

This systematic review included 24 studies and revealed that the most frequently used BCTs in the studies were feedback and monitoring (n=20), goals and planning (n=14), associations (n=14), shaping knowledge (n=12), and personalization (n=7). However, we found mixed effectiveness of the techniques in mHealth outcomes, having more effective than ineffective outcomes in the evaluation of apps implementing techniques from the feedback and monitoring, goals and planning, associations, and personalization categories, but we could not infer causality with the results and suggest that there is still a need to improve the use of these and many common BCTs for better outcomes.

Conclusions

Personalization, associations, and goals and planning techniques were the most used BCTs in effective trials regarding adherence to mHealth apps. However, they are not necessarily the most effective since there are studies that use these techniques and do not report significant results in the proposed objectives; there is a notable overlap of BCTs within implemented app components, suggesting a need to better understand best practices for applying (a combination of) such techniques and to obtain details on the specific BCTs used in mHealth interventions. Future research should focus on studies with longer follow-up periods to determine the effectiveness of mHealth interventions on behavior change to overcome the limited evidence in the current literature, which has mostly small-sized and single-arm experiments with a short follow-up period.

Development, usability and quality evaluation of the resilient mobile application for women with breast cancer

Introduction

Mental health problems as a consequence of cancer lower the quality of life of cancer patients. Despite increasing studies of breast cancer‐focused mobile health applications (m‐Health apps), there is less research on breast cancer patients' quality of life or well‐being. The purpose of this study is to develop and evaluate the usability and quality of an educational m‐Health app aimed at improving the resilience of breast cancer in women.

Methods

This study was conducted in four phases. It included extracting the requirements of the app through the nominal group technique. Based on these results, an m‐Health app was developed and evaluated in terms of usability and quality by two scales, System Usability Scale and Mobile App Rating Scale questionnaires, respectively. Finally, the role of patients' age and educational backgrounds in the use of the app was assessed. The relationship between learnability and usability of the app was measured by the T‐Test.

Results

The app was developed with three user interfaces. Its usability developed from the patient's point of view scored a remarkable score of 83.20 with a 95% confidence interval. This value was too indicative of high satisfaction with the usefulness and the possibility of recommending it to other cancer survivors. The results of the quality evaluation from an expert's point of view showed that this app had good functionality. Evaluation of the role of demographic information in the use of the app showed that it can be used for all age groups with different levels of education. The app did not differ significantly between learnability and usability.

Conclusion

The development of m‐Health apps, based on usability principles that are suitable for all age groups with different levels of education, is welcomed by cancer patients.

"You're Going to Have to Think a Little Bit Different" Barriers and Facilitators to Using mHealth to Increase Physical Activity among Older, Rural Cancer Survivors

Wearable activity trackers (WATs) hold great promise in increasing physical activity among older cancer survivors. However, older cancer survivors who reside in rural regions are at increased risk of being digitally marginalized. The goal of this study was to learn about WATs adoption motivation and needs of rural older cancer survivors who live in New Mexico, one of the most rural states with the lowest broadband Internet connectivity in the United States. We conducted six key informant interviews and recruited 31 older cancer survivors from rural counties statewide who participated in interviews and focus groups. Our results show great interest in using WATs as part of an intervention to alleviate barriers associated with the digital divide. Participants were offered diverse modalities to support them in adoption of the trackers. These results will be used to inform future interventions and policies focusing on increasing physical activity in older cancer survivors who reside in rural communities.

Acceptability of Intervention Design Factors in mHealth Intervention Research: Experimental Factorial Study

Background

With the growing interest in mobile health (mHealth), behavioral medicine researchers are increasingly conducting intervention studies that use mobile technology (eg, to support healthy behavior change). Such studies’ scientific premises are often sound, yet there is a dearth of implementational data on which to base mHealth research methodologies. Notably, mHealth approaches must be designed to be acceptable to research participants to support meaningful engagement, but little empirical data about design factors influencing acceptability in such studies exist.

Objective

This study aims to evaluate the impact of two common design factors in mHealth intervention research—requiring multiple devices (eg, a study smartphone and wrist sensor) relative to requiring a single device and providing individually tailored feedback as opposed to generic content—on reported participant acceptability.

Methods

A diverse US adult convenience sample (female: 104/255, 40.8%; White: 208/255, 81.6%; aged 18-74 years) was recruited to complete a web-based experiment. A 2×2 factorial design (number of devices×nature of feedback) was used. A learning module explaining the necessary concepts (eg, behavior change interventions, acceptability, and tailored content) was presented, followed by four vignettes (representing each factorial cell) that were presented to participants in a random order. The vignettes each described a hypothetical mHealth intervention study featuring different combinations of the two design factors (requiring a single device vs multiple devices and providing tailored vs generic content). Participants rated acceptability dimensions (interest, benefit, enjoyment, utility, confidence, difficulty, and overall likelihood of participating) for each study presented.

Results

Reported interest, benefit, enjoyment, confidence in completing study requirements, and perceived utility were each significantly higher for studies featuring tailored (vs generic) content, and the overall estimate of the likelihood of participation was significantly higher. Ratings of interest, benefit, and perceived utility were significantly higher for studies requiring multiple devices (vs a single device); however, multiple device studies also had significantly lower ratings of confidence in completing study requirements, and participation was seen as more difficult and was associated with a lower estimated likelihood of participation. The two factors did not exhibit any evidence of statistical interactions in any of the outcomes tested.

Conclusions

The results suggest that potential research participants are sensitive to mHealth design factors. These mHealth intervention design factors may be important for initial perceptions of acceptability (in research or clinical settings). This, in turn, may be associated with participant (eg, self) selection processes, differential compliance with study or treatment processes, or retention over time.

A review of AI and Data Science support for cancer management

INTRODUCTION

Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. We review the state-of-the-art of computerized systems that employ AI and Data Science methods to monitor the health status and provide support to cancer patients managed at home.

OBJECTIVE

Our main objective is to analyze the literature to identify open research challenges that a novel decision support system for cancer patients and clinicians will need to address, point to potential solutions, and provide a list of established best-practices to adopt.

METHODS

We designed a review study, in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzing studies retrieved from PubMed related to monitoring cancer patients in their home environments via sensors and self-reporting: what data is collected, what are the techniques used to collect data, semantically integrate it, infer the patient's state from it and deliver coaching/behavior change interventions.

RESULTS

Starting from an initial corpus of 819 unique articles, a total of 180 papers were considered in the full-text analysis and 109 were finally included in the review. Our findings are organized and presented in four main sub-topics consisting of data collection, data integration, predictive modeling and patient coaching.

CONCLUSION

Development of modern decision support systems for cancer needs to utilize best practices like the use of validated electronic questionnaires for quality-of-life assessment, adoption of appropriate information modeling standards supplemented by terminologies/ontologies, adherence to FAIR data principles, external validation, stratification of patients in subgroups for better predictive modeling, and adoption of formal behavior change theories. Open research challenges include supporting emotional and social dimensions of well-being, including PROs in predictive modeling, and providing better customization of behavioral interventions for the specific population of cancer patients.

Evaluation of two mobile health apps for patients with breast cancer using the Mobile Application Rating Scale

BACKGROUND

Breast cancer is one of the most frequently diagnosed cancers worldwide. Screening, education about signs and symptoms, and improved access to treatment has helped reduce mortality. An understanding of the informational needs of women with breast cancer can help identify areas where mobile apps can further improve the experience of this patient group.

METHODS

Personas are a commonly used tools in user centred design to help represent particular user archetypes. Knowledge of existing informational needs and prior research using personas in breast cancer app design were used to create two different personas through which to source apps for evaluation. The Mobile Application Rating Scale, a common evaluation framework, was used to evaluate the mobile apps across several important domains.

RESULTS

Becca and OWise, two apps for breast cancer, were found through a discovery process in line with the personas described. Overall, both apps scored highly on the Mobile Application Rating Scale. Both apps had limited or no research to support their use in this patient group, and had issues related to data privacy. Becca scored particularly highly in domains related to accessibility while OWise's extensive range of features scored highly for functionality.

CONCLUSIONS

Both apps demonstrate the ability to fill an informational needs gap as evidenced in the existing literature. As with many mobile health apps, more clinical evidence and improved data handling would help support the widespread recommendation of their use in women who are undergoing or have completed treatment for breast cancer.