Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study

App-based support for breast cancer patients to reduce psychological distress during therapy and survivorship - a multicentric randomized controlled trial

Introduction

The negative impact of unmanaged psychological distress on quality of life and outcome in breast cancer survivors has been demonstrated. Fortunately, studies indicate that distress can effectively be addressed and even prevented using evidence-based interventions. In Germany prescription-based mobile health apps, known as DiGAs (digital health applications), that are fully reimbursed by health insurances, were introduced in 2020. In this study, the effectiveness of an approved breast cancer DiGA was investigated: The personalized coaching app PINK! Coach supports and accompanies breast cancer patients during therapy and follow-up.

Methods

PINK! Coach was specifically designed for breast cancer (BC) patients from the day of diagnosis to the time of Follow-up (aftercare). The app offers individualized, evidence-based therapy and side-effect management, mindfulness-based stress reduction, nutritional and psychological education, physical activity tracking, and motivational exercises to implement lifestyle changes sustainably in daily routine. A prospective, intraindividual RCT (DRKS00028699) was performed with n = 434 patients recruited in 7 German breast cancer centers from September 2022 until January 2023. Patients with BC were included independent of their stage of diseases, type of therapy and molecular characteristics of the tumor. Patients were randomized into one of two groups: The intervention group got access to PINK! over 12 weeks; the control group served as a waiting-list comparison to "standard of care." The primary endpoint was psychological distress objectified by means of Patient Health Questionnaire-9 (PHQ-9). Subgroups were defined to investigate the app's effect on several patient groups such as MBC vs. EBC patients, patients on therapy vs. in aftercare, patients who received a chemotherapy vs. patients who did not.

Results

Efficacy analysis of the primary endpoint revealed a significant reduction in psychological distress (least squares estimate -1.62, 95% confidence interval [1.03; 2.21]; p<0.001) among intervention group patients from baseline to T3 vs, control group. Subgroup analysis also suggested improvements across all clinical situations.

Conclusion

Patients with breast cancer suffer from psychological problems including anxiety and depression during and after therapy. Personalized, supportive care with the app PINK! Coach turned out as a promising opportunity to significantly improve psychological distress in a convenient, accessible, and low-threshold manner for breast cancer patients independent of their stage of disease (EBC/MBC), therapy phase (aftercare or therapy) or therapy itself (chemotherapy/other therapy options). The app is routinely available in Germany as a DiGA. Clinical Trial Registration: DRKS Trial Registry (DRKS00028699).

Predictors of the Use of a Mental Health-Focused eHealth System in Patients With Breast and Prostate Cancer: Bayesian Structural Equation Modeling Analysis of a Prospective Study

BACKGROUND

eHealth systems have been increasingly used to manage depressive symptoms in patients with somatic illnesses. However, understanding the factors that drive their use, particularly among patients with breast and prostate cancer, remains a critical area of research.

OBJECTIVE

This study aimed to determine the factors influencing use of the NEVERMIND eHealth system among patients with breast and prostate cancer over 12 weeks, with a focus on the Technology Acceptance Model.

METHODS

Data from the NEVERMIND trial, which included 129 patients with breast and prostate cancer, were retrieved. At baseline, participants completed questionnaires detailing demographic data and measuring depressive and stress symptoms using the Beck Depression Inventory-II and the Depression, Anxiety, and Stress Scale-21, respectively. Over a 12-week period, patients engaged with the NEVERMIND system, with follow-up questionnaires administered at 4 weeks and after 12 weeks assessing the system's perceived ease of use and usefulness. Use log data were collected at the 2- and 12-week marks. The relationships among sex, education, baseline depressive and stress symptoms, perceived ease of use, perceived usefulness (PU), and system use at various stages were examined using Bayesian structural equation modeling in a path analysis, a technique that differs from traditional frequentist methods.

RESULTS

The path analysis was conducted among 100 patients with breast and prostate cancer, with 66% (n=66) being female and 81% (n=81) having a college education. Patients reported good mental health scores, with low levels of depression and stress at baseline. System use was approximately 6 days in the initial 2 weeks and 45 days over the 12-week study period. The results revealed that PU was the strongest predictor of system use at 12 weeks (βuse at 12 weeks is predicted by PU at 12 weeks=.384), whereas system use at 2 weeks moderately predicted system use at 12 weeks (βuse at 12 weeks is predicted by use at 2 weeks=.239). Notably, there were uncertain associations between baseline variables (education, sex, and mental health symptoms) and system use at 2 weeks, indicating a need for better predictors for early system use.

CONCLUSIONS

This study underscores the importance of PU and early engagement in patient engagement with eHealth systems such as NEVERMIND. This suggests that, in general eHealth implementations, caregivers should educate patients about the benefits and functionalities of such systems, thus enhancing their understanding of potential health impacts. Concentrating resources on promoting early engagement is also essential given its influence on sustained use. Further research is necessary to clarify the remaining uncertainties, enabling us to refine our strategies and maximize the benefits of eHealth systems in health care settings.

Feasibility study of a mobile application (ACT-ON) to complement acceptance and commitment therapy (ACT) intervention in cancer patients

OBJECTIVE

Psychological and physical distress commonly affect cancer patients. Acceptance and commitment therapy (ACT) has shown promising results when it comes to ameliorating symptoms that may develop as a result of this. Meanwhile, it has come to light that the impact of psychological interventions may be enhanced by the use of mobile applications. However, to date no mobile applications have been developed to support ACT-based interventions in cancer patients. The aim of the present study is to develop and test the usability of a mobile application designed to complement face-to-face ACT-based therapy in a group of cancer patients undergoing treatment.

MATERIALS AND METHODS

A total of thirty-nine patients were recruited to participate in this pilot study. Participants had to be: 18 years of age or over, currently undergoing treatment for breast, lung or colorectal cancer, in stage I-III, a smartphone user with daily internet access. The intervention sessions were administered for a period of eight weeks, one hour per week to groups of four to six participants. Patients had the ACT-ON mobile application at their disposal, which provided them with access to therapy-related activities: mindfulness, metaphors and exercises to clarify values.

RESULTS

The application obtained adequate adoption (61.54%) and usage (54.17%) rates. Usability and ease of learning scores were as follows: good usability (M = 79.81, SD = 11.87); high usability (M = 80.53, SD = 14.04); ease of learning (M = 37.5, SD = 23.85).

DISCUSSION

This is the first study to develop and evaluate the usability of an application designed to support ACT-based interventions in cancer patients undergoing treatment. The results show that the ACT-ON app is a feasible tool which achieves high levels of usability. However, said results ought to be confirmed by studies that include a larger number of cancer patients.

The role of digital health in supporting cancer patients' mental health and psychological well-being for a better quality of life: A systematic literature review

BACKGROUND

This work aims to evaluate the role of digital health in supporting the mental and psychological well-being of patients with cancer and identify the associated challenges of use and implementation.

METHODS

Eligibility criteria: We included peer-reviewed studies (quantitative/qualitative) published between January 2011 and July 2022, that are written in English using technology to support cancer patients' mental health. We excluded opinion papers, editorials, and commentaries.

INFORMATION SOURCES

The systematic review was conducted across ProQuest CENTRAL, Scopus, PubMed, PsycInfo, Web Of Science, and IEEE Xplore. The study selection followed the Preferred Reporting Items for Systematic Reviews, meta-Analysis Reviews, and meta-Analysis guidelines (PRISMA). Risk of bias: All screening steps followed a consensus between the authors to minimize bias or discrepancy. Synthesis of the results: Data were extracted following the Six-factor Model of Psychological Well-being (SMPW). The technology challenges are summarized following the Systems Engineering Initiative for Patient Safety model (SEIPS), focusing on design, impact on processes, and outcomes.

RESULTS

We included 25 studies satisfying our inclusion criteria. The studies had little interest in minorities and sociodemographic factors' assessment within their results. The review showed that mental health and psychological well-being tools cover many applications. In addition to allowing personal growth, digital health can help cancer patients gain more autonomy and self-acceptance. Moreover, these health technologies can aid in mastering the environment, shaping social relationships, and pursuing life goals. Many challenges were identified related to the environment, organization, users, and tasks.

DISCUSSION

Digital health applications for cancer care cover a broad spectrum of mental health interventions. Challenges warrant analyzing the needs and usability. Lessons learned during COVID-19 may help refine technology interventions for mental health in cancer care. More interest in minorities is needed when designing technologies for patients to ensure more access to equitable care.

Health and Well-Being Needs Among Head and Neck Cancer Caregivers - A Systematic Review

OBJECTIVE

This review provides a summary of the current understanding of the health and well-being of the head and neck cancer (HNC) caregiver. Our goal is to understand the healthcare needs required by the caregivers of our oncologic patients, which may ultimately influence quality of care and support that cancer patients require during treatment and recovery.

METHODS

Independent database searches were conducted to identify articles describing HNC caregiver health and healthcare utilization. Search terms included key synonyms for head and neck cancer, caregiver, psychological stress, anxiety, depression, mental health service, and delivery of healthcare in the title/abstract.

RESULTS

After following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Protocol, a total of 21 studies were included. Among the 21 studies in the review, a total of 1745 caregivers were included. The average age was 57 years, the majority were female (58%-100%), and spouses/partners of the patients (77%). The literature demonstrates significant anxiety, depression, post-traumatic stress disorder (PTSD), and physical health decline in addition to multifaceted unmet physical and mental health needs among HNC caregivers.

CONCLUSION

There is no standard for examining HNC caregiver healthcare needs, while there is evidence of increased healthcare utilization. The literature is limited regarding medical burdens faced by caregivers. Future research is needed to assess the physical health and comorbidities of HNC caregivers and their engagement with the healthcare system to guide further implementation of support models to address the needs of this population.

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management

Mobile Health (mHealth) has a great potential to enhance the self-management of cancer patients and survivors. Our study aimed to perform a scoping review to evaluate the impact and trends of mobile application-based interventions on adherence and their effects on health outcomes among the cancer population. In addition, we aimed to develop a taxonomy of mobile-app-based interventions to assist app developers and healthcare researchers in creating future mHealth cancer care solutions. Relevant articles were screened from the online databases PubMed, EMBASE, and Scopus, spanning the time period from 1 January 2016 to 31 December 2022. Of the 4135 articles initially identified, 55 were finally selected for the review. In the selected studies, breast cancer was the focus of 20 studies (36%), while mixed cancers were the subject of 23 studies (42%). The studies revealed that the usage rate of mHealth was over 80% in 41 of the 55 studies, with factors such as guided supervision, personalized suggestions, theoretical intervention foundations, and wearable technology enhancing adherence and efficacy. However, cancer progression, technical challenges, and unfamiliarity with devices were common factors that led to dropouts. We also proposed a taxonomy based on diverse theoretical foundations of mHealth interventions, delivery methods, psycho-educational programs, and social platforms. We suggest that future research should investigate, improve, and verify this taxonomy classification to enhance the design and efficacy of mHealth interventions.

Sentiment Analysis to Understand the Perception and Requirements of a Plant-Based Food App for Cancer Patients

Understanding human perception and requirements on food for cancer prevention and condition management is important so that food applications can be catered to cancer patients. In this paper, web scraping was conducted to understand the public’s perception, attitude, and requirements related to a plant-based diet as a recommended diet for cancer prevention and condition management. Text and sentiment analyses were carried out on results gathered from 82 social sites to determine whether noncancer and cancer patients use plant-based diets, how they have been consumed, their benefits in the prevention and condition management of cancers, the existing myths/fake news about cancer, and what do cancer patients need in a food app. The results of the text analysis highlighted gaps in existing apps, including a lack of credibility as there were a lot of fake news and myths about cancer and endorsement by professionals. Future food apps should provide personalized diets to include both plant-based diets as well as meat, symptom management, good user experience, credibility, and emotional and mental health support.

The Use of Digital Health Tools for Health Promotion Among Women With and Without Chronic Diseases: Insights From the 2017-2020 Health Information National Trends Survey

Background

In the United States, almost 90% of women are at risk of at least one chronic condition. However, the awareness, management, and monitoring of these conditions are low and present a substantial public health problem. Digital health tools can be leveraged to reduce the alarmingly high rates of chronic condition–related mortality and morbidity in women.

Objective

This study aimed to investigate the 4-year trend of digital health use for health promotion among women with chronic conditions in the United States.

Methods

Data for this study were obtained from the 2017 to 2020 iterations of the Health Information Trends Survey 5. Separate weighted logistic regression models were conducted to test the unadjusted and adjusted association of the study variables and each digital health use. The 95% CI, adjusted odds ratio (aOR), and P value (.05) were reported. Analysis was conducted using Stata 17 software.

Results

In total, 8573 women were included in this study. The weighted prevalence of the use of a smartphone or tablet for various activities were as follows: track health goals, 50.3% (95% CI 48.4%-52.2%; 3279/7122); make a health decision, 43.6% (95% CI 41.9%-45.3%; 2998/7101); and discuss with a provider, 40% (95% CI 38.2%-41.8%; 2834/7099). In the preceding 12 months, 33% (95% CI 30.9%-35.2%; 1395/4826) of women used an electronic wearable device, 18.7% (95% CI 17.3%-20.2%; 1532/7653) shared health information, and 35.2% (95% CI 33.2%-37.3%; 2262/6349) sent or received an SMS text message with a health professional. Between 2017 and 2020, the weighted prevalence of having 0, 1, and multiple chronic conditions were 37.4% (2718/8564), 33.4% (2776/8564), and 29.3% (3070/8564), respectively. However, slightly above half (52.2%, 95% CI 0.50%-0.53%; 4756/8564) of US women reported having at least one chronic disease. Women with multiple chronic conditions had higher odds of using their tablet or smartphone to achieve a health-related goal (aOR 1.43, 95% CI 1.16-1.77; P=.001) and discuss with their provider (aOR 1.55 95% CI 1.20-2.00; P=.001) than those without any chronic conditions. Correspondingly, in the past 12 months, the odds of using an electronic wearable device (aOR 1.40, 95% CI 1.00-1.96; P=.04), sharing health information (aOR 1.91, 95% CI 1.46-2.51; P<.001), and communicating via SMS text messaging with a provider (aOR 1.31, 95% CI 1.02-1.68; P=.03) were significantly higher among women with chronic conditions than those without a chronic condition.

Conclusions

This study suggests that women with chronic conditions accept and integrate digital health tools to manage their care. However, certain subpopulations experience a digital disconnect that may exacerbate existing health inequities. Implications for research and opportunities to leverage and integrate digital health tools to prevent, monitor, manage, and treat chronic conditions in women are discussed.

Informing the development of multidisciplinary interventions to help breast cancer patients return to work: a qualitative study

PURPOSE

Return to work (RTW) after breast cancer (BC) can be a major challenge for patients. Multidisciplinary interventions seem to be effective but the role of digital solutions is under-developed and therefore not evaluated. We explored the preferences, needs, and barriers regarding RTW interventions, including opinions about the use of digital approaches to deliver such interventions.

METHODS

We conducted a qualitative study based on interviews with 30 patients with BC and 18 healthcare providers in four French regions. Emergent themes were identified using thematic content analysis.

RESULTS

Most providers declared that they did not proactively address RTW with patients, mainly due to having other priorities and a lack of knowledge. The following themes emerged: several development and deployment barriers regarding RTW interventions exist, multidisciplinary interventions are preferred, and there is a need to maintain contact between the patient and workplace during sick leave, including pathways and interlocutors that can facilitate RTW. Participants had mostly positive representations of using digital tools to facilitate RTW; however, fear of loss of human contact and the exacerbation of inequalities were identified as possible risks associated with the development of digital-only interventions.

CONCLUSIONS

Interventions blending the needs and preferences of patients with BC and the healthcare system are warranted. A personalized multimodal approach with mixed digital and in-person features has surfaced as a possible solution to address the weaknesses of existing interventions.

IMPLICATIONS FOR CANCER SURVIVORS

Since most women work at the time of diagnosis, it is of particular relevance to build interventions promoting RTW.

Challenges in Participant Engagement and Retention using Mobile Health Apps: A Literature Review (Preprint)

Background

Mobile health (mHealth) apps are revolutionizing the way clinicians and researchers monitor and manage the health of their participants. However, many studies using mHealth apps are hampered by substantial participant dropout or attrition, which may impact the representativeness of the sample and the effectiveness of the study. Therefore, it is imperative for researchers to understand what makes participants stay with mHealth apps or studies using mHealth apps.

Objective

This study aimed to review the current peer-reviewed research literature to identify the notable factors and strategies used in adult participant engagement and retention.

Methods

We conducted a systematic search of PubMed, MEDLINE, and PsycINFO databases for mHealth studies that evaluated and assessed issues or strategies to improve the engagement and retention of adults from 2015 to 2020. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Notable themes were identified and narratively compared among different studies. A binomial regression model was generated to examine the factors affecting retention.

Results

Of the 389 identified studies, 62 (15.9%) were included in this review. Overall, most studies were partially successful in maintaining participant engagement. Factors related to particular elements of the app (eg, feedback, appropriate reminders, and in-app support from peers or coaches) and research strategies (eg, compensation and niche samples) that promote retention were identified. Factors that obstructed retention were also identified (eg, lack of support features, technical difficulties, and usefulness of the app). The regression model results showed that a participant is more likely to drop out than to be retained.

Conclusions

Retaining participants is an omnipresent challenge in mHealth studies. The insights from this review can help inform future studies about the factors and strategies to improve participant retention.

The efficacy of web or mobile-based interventions to alleviate emotional symptoms in people with advanced cancer: a systematic review and meta-analysis

PURPOSE

This review aims to critically evaluate the efficacy of web or mobile-based (WMB) interventions impacting emotional symptoms in patients with advanced cancer.

METHOD

Articles published from 1991 to 2019 were identified using PubMed, PsycINFO, CINAHL, and Scopus. Only interventions involving adults with advanced cancer using a WMB intervention to manage emotional symptoms were included. Risk of bias was assessed using ROBINS-I and ROB2 tools. Studies that reported mean symptom scores were pooled using a random-effects model, and standardized mean difference (SMD) and 95% CIs were calculated.

RESULTS

Twenty-three of the 1177 screened studies met the inclusion criteria, and a total sample of 2558 patients were included. The sample was 57% female, and 33% had advanced cancer with mean age of 57.15 years. Thirteen studies evaluated anxiety, nineteen evaluated depression, and eleven evaluated distress. Intervention components included general information, tracking, communication, multimedia choice, interactive online activities, tailoring/feedback, symptom management support content, and self-monitoring. Overall pooled results showed that WMB interventions' effects on decreasing anxiety (SMD - 0.20, - 0.45 to 0.05, I² = 72%), depression (SMD - 0.10, - 0.30 to 0.11, I² = 73%), and distress (SMD - 0.20, - 0.47 to 0.06, I² = 60%) were not significant for randomized controlled trials (RCTs). In contrast, WMB interventions significantly decreased symptoms of anxiety (p = .002) in a sub-group analysis of non-RCTs.

CONCLUSION

This meta-analysis demonstrated that WMB interventions were not efficacious in alleviating emotional symptoms in adults with advanced cancer. Considering the diversity of interventions, the efficacy of WMB interventions and its impacts on emotional symptoms should be further explored.

Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks

Mental health applications or apps are a promising approach to reduce the pervasive unmet mental health need observed among marginalized groups. However, these groups face unique challenges to engage in and benefit from these interventions, and apps that consider issues of diversity, equity, and inclusion (DEI) may be better positioned to reach them. App evaluation frameworks emerge as crucial tools for researchers, clinicians, and users to select evidence-based apps. Nevertheless, it is unclear the extent to which existing assessment tools capture DEI factors. The present scoping review identified 68 studies that employed one or more assessment tools to evaluate a mental health app, leading to 44 unique app evaluation frameworks. Results showed that most frameworks were developed after 2015, and only 58% of them considered at least one DEI criterion. Frameworks that performed exceptionally well were those that combined multiple standardized and validated measures. This lack of consideration for DEI variables may limit the ability of app-based interventions to serve marginalized communities, or even worse, create new disparities. Therefore, we provide recommendations to improve current app evaluation frameworks' cultural robustness and clinical utility, maximizing their effectiveness when working with individuals from marginalized communities.

Understanding the Relationship between Mood Symptoms and Mobile App Engagement Among Breast Cancer Patients: A Machine Learning Process (Preprint)

Background

Health interventions delivered via smart devices are increasingly being used to address mental health challenges associated with cancer treatment. Engagement with mobile interventions has been associated with treatment success; however, the relationship between mood and engagement among patients with cancer remains poorly understood. A reason for this is the lack of a data-driven process for analyzing mood and app engagement data for patients with cancer.

Objective

This study aimed to provide a step-by-step process for using app engagement metrics to predict continuously assessed mood outcomes in patients with breast cancer.

Methods

We described the steps involved in data preprocessing, feature extraction, and data modeling and prediction. We applied this process as a case study to data collected from patients with breast cancer who engaged with a mobile mental health app intervention (IntelliCare) over 7 weeks. We compared engagement patterns over time (eg, frequency and days of use) between participants with high and low anxiety and between participants with high and low depression. We then used a linear mixed model to identify significant effects and evaluate the performance of the random forest and XGBoost classifiers in predicting weekly mood from baseline affect and engagement features.

Results

We observed differences in engagement patterns between the participants with high and low levels of anxiety and depression. The linear mixed model results varied by the feature set; these results revealed weak effects for several features of engagement, including duration-based metrics and frequency. The accuracy of predicting depressed mood varied according to the feature set and classifier. The feature set containing survey features and overall app engagement features achieved the best performance (accuracy: 84.6%; precision: 82.5%; recall: 64.4%; F1 score: 67.8%) when used with a random forest classifier.

Conclusions

The results from the case study support the feasibility and potential of our analytic process for understanding the relationship between app engagement and mood outcomes in patients with breast cancer. The ability to leverage both self-report and engagement features to analyze and predict mood during an intervention could be used to enhance decision-making for researchers and clinicians and assist in developing more personalized interventions for patients with breast cancer.

Effects of Psychoeducational Interventions Using Mobile Apps and Mobile-Based Online Group Discussions on Anxiety and Self-Esteem in Women With Breast Cancer: Randomized Controlled Trial

Background

Psychoeducation has turned into an effective tool in taking care of cancer patients and improving their psychophysical symptoms and quality of life. Despite the growing use of mobile phone apps in medical settings for improving health, evidence supporting their effectiveness in the psychoeducation of patients with breast cancer is rarely available.

Objective

This study was conducted to investigate the effect of psychoeducational interventions on anxiety and self-esteem in women with breast cancer using a mobile app and an online support group.

Methods

An unblinded randomized controlled trial based on mobile phones was conducted in Shiraz, Iran. A research assistant recruited 82 women with nonmetastatic breast cancer aged 20 to 60 years were from clinics during a face-to-face visit at the point of care and randomly assigned to an intervention group (n=41) and a wait-list control group (n=41) through blocked randomization. The intervention group received psychoeducational interventions through a mobile phone app and participated in nurse-assisted online mobile support sessions for a total four weeks, whereas the control group was put on a waiting list. The State-Trait Anxiety Inventory (STAI) and the Rosenberg Self-Esteem Scale (RSES) were used to measure the levels of anxiety and self-esteem as the main outcomes at baseline and one week after the intervention.

Results

A total of 82 patients with a mean age of 46.45 (SD 9.29) years recruited in Winter 2016 were randomly assigned to a wait-list control group (n=41) and intervention group (n=41). Five patients dropped out for different reasons. Comparing the postintervention mean scores of anxiety and its subscales using the independent t test showed statistically significant differences between the mobile psychoeducation group and controls (P<.001). The paired t test used to compare the postintervention mean scores of anxiety with its preintervention scores in the intervention group showed significant reductions in the scores of anxiety (95% CI –17.44 to –8.90, P<.001, d=1.02) and its two subscales (state anxiety: 95% CI –9.20 to –4.21, P<.001, d=0.88 and trait anxiety: 95% CI –8.50 to –4.12, P<.001, d=0.94). Comparing the postintervention mean scores of self-esteem showed statistically insignificant differences between the control and intervention groups (16.87 vs 17.97, P=.24). In contrast with the controls, using the paired t test showed that the increase in the postintervention mean scores of self-esteem were statistically significant in the intervention group compared with the preintervention scores (mean difference 2.05, 95% CI 1.28 to 2.82, P<.001).

Conclusions

This study demonstrated the key role of mobile apps in decreasing anxiety and improving self-esteem in women with breast cancer through psychoeducational interventions. Similar studies with longer follow-ups are recommended that be conducted in this context.

Trial Registration

Iranian Registry of Clinical Trials IRCT2015072123279N2; https://en.irct.ir/trial/19882

Use of mHealth to Increase Physical Activity Among Breast Cancer Survivors With Fatigue: Qualitative Exploration

BACKGROUND

Physical activity has shown beneficial effects in the treatment of breast cancer fatigue; nevertheless, a significant portion of patients remain insufficiently physically active after breast cancer. Currently most patients have a smartphone, and therefore mobile health (mHealth) holds the promise of promoting health behavior uptake for many of them.

OBJECTIVE

In this study, we explored representations, levers, and barriers to physical activity and mHealth interventions among inactive breast cancer patients with fatigue.

METHODS

This was an exploratory, qualitative study including breast cancer patients from a French cancer center. A total of 4 focus groups were conducted with 9 patients; 2 independent groups of patients (groups A and B) were interviewed at 2 consecutive times (sessions 1 to 4), before and after their participation in a 2-week mHealth group experience consisting of (1) a competitive virtual exercise group activity (a fictitious world tour), (2) participation in a daily chat network, and (3) access to physical activity information and world tour classification feedback. We used a thematic content analysis.

RESULTS

Several physical activity levers emerged including (1) physical factors such as perception of physical benefit and previous practice, (2) psychological factors such as motivation increased by provider recommendations, (3) social factors such as group practice, and (4) organizational factors including preplanning physical activity sessions. The main barriers to physical activity identified included late effects of cancer treatment, lack of motivation, and lack of time. The lack of familiarity with connected devices was perceived as the main barrier to the use of mHealth as a means to promote physical activity. The tested mHealth group challenge was associated with several positive representations including well-being and good habit promotion and being a motivational catalyzer. Following feedback, modifications were implemented into the mHealth challenge.

CONCLUSIONS

mHealth-based, easily accessed group challenges were perceived as levers for the practice of physical activity in this population. mHealth-based group challenges should be explored as options to promote physical activity in a population with fatigue after breast cancer.

Recruiting breast cancer patients for mHealth research: Obstacles to clinic-based recruitment for a mobile phone app intervention study

BACKGROUND

Nearly half of newly diagnosed breast cancer patients will report clinically significant symptoms of depression and/or anxiety within the first year of diagnosis. Research on the trajectory of distress in cancer patients suggests that targeting patients early in the diagnostic pathway could be particularly impactful. Given the recent rise of smartphone adoption, apps are a convenient and accessible platform from which to deliver mental health support; however, little research has examined their potential impact among newly diagnosed cancer patients. One reason is likely due to the obstacles associated with in-clinic recruitment of newly diagnosed cancer patients for mHealth pilot studies.

METHODS

This article draws from our experiences of a recently completed pilot study to test a suite of mental health apps in newly diagnosed breast cancer patients. Recruitment strategies included in-clinic pamphlets, flyers, and direct communication with clinicians. Surgical oncologists and research staff members approached eligible patients after a medical appointment. Research team members met with patients to provide informed consent and review the study schedule.

RESULTS

Four domains of in-clinic recruitment challenges emerged: (a) coordination with clinic staff, (b) perceived burden among breast cancer patients, (c) limitations regarding the adoption and use of technology, and (d) availability of resources. Potential solutions are provided for each challenge.

CONCLUSION

Recruitment of newly diagnosed cancer patients is a major challenge to conducting mobile intervention studies for researchers on a pilot-study budget. To realize the impact of mobile interventions for the most vulnerable cancer patient populations, health researchers must address barriers to in-clinic recruitment to provide vital preliminary data in proposals of large-scale research projects.