Building a physical activity intervention into clinical care for breast and colorectal cancer survivors in Wisconsin: a randomized controlled pilot trial

Cancer Patients' Perspectives and Requirements of Digital Health Technologies: A Scoping Literature Review

Digital health technologies have the potential to alleviate the increasing cancer burden. Incorporating patients' perspectives on digital health tools has been identified as a critical determinant for their successful uptake in cancer care. The main objective of this scoping review was to provide an overview of the existing evidence on cancer patients' perspectives and requirements for patient-facing digital health technologies. Three databases (CINAHL, MEDLINE, Science Direct) were searched and 128 studies were identified as eligible for inclusion. Web-based software/platforms, mobile or smartphone devices/applications, and remote sensing/wearable technologies employed for the delivery of interventions and patient monitoring were the most frequently employed technologies in cancer care. The abilities of digital tools to enable care management, user-friendliness, and facilitate patient-clinician interactions were the technological requirements predominantly considered as important by cancer patients. The findings from this review provide evidence that could inform future research on technology-associated parameters influencing cancer patients' decisions regarding the uptake and adoption of patient-facing digital health technologies.

A multi-site trial of an electronic health integrated physical activity promotion intervention in breast and endometrial cancers survivors: MyActivity study protocol

Despite the known benefits of moderate-to-vigorous physical activity (MVPA) for breast and endometrial cancer survivors, most are insufficiently active, interventions response is heterogeneous, and MVPA programming integration into cancer care is limited. A stepped care approach, in which the least resource-intensive intervention is delivered first and additional components are added based on individual response, is one strategy to enhance uptake of physical activity programming. However, the most effective intervention augmentation strategies are unknown. In this singly randomized trial of post-treatment, inactive breast and endometrial cancer survivors (n = 323), participants receive a minimal intervention including a Fitbit linked with their clinic's patient portal and, in turn, the electronic health record (EHR) with weekly feedback delivered via the portal. MVPA progress summaries are sent to participants' oncology team via the EHR. MVPA adherence is evaluated at 4, 8, 12, 16 and 20 weeks; non-responders (those meeting ≤80% of the MVPA goal over previous 4 weeks) at each timepoint are randomized once for the remainder of the 24-week intervention to one of two "step-up" conditions: (1) online gym or (2) coaching calls, while responders continue with the minimal Fitbit+EHR intervention. The primary outcome is ActiGraph-measured MVPA at 24 and 48 weeks. Secondary outcomes include symptom burden and functional performance at 24 and 48 weeks. This trial will inform development of an effective, scalable, and tailored intervention for survivors by identifying non-responders and providing them with the intervention augmentations necessary to increase MVPA and improve health outcomes. Clinical Trials Registration # NCT04262180.

Use of Wearable Activity-Monitoring Technologies to Promote Physical Activity in Cancer Survivors: Challenges and Opportunities for Improved Cancer Care

The aim of this review was to explore the acceptability, opportunities, and challenges associated with wearable activity-monitoring technology to increase physical activity (PA) behavior in cancer survivors. A search of Medline, Embase, CINAHL, and SportDiscus was conducted from 1 January 2011 through 3 October 2022. The search was limited to English language, and peer-reviewed original research. Studies were included if they reported the use of an activity monitor in adults (+18 years) with a history of cancer with the intent to motivate PA behavior. Our search identified 1832 published articles, of which 28 met inclusion/exclusion criteria. Eighteen of these studies included post-treatment cancer survivors, eight were on active cancer treatment, and two were long-term cancer survivor studies. ActiGraph accelerometers were the primary technology used to monitor PA behaviors, with Fitbit as the most commonly utilized self-monitoring wearable technology. Overall, wearable activity monitors were found to be an acceptable and useful tool in improving self-awareness, motivating behavioral change, and increasing PA levels. Self-monitoring wearable activity devices have a positive impact on short-term PA behaviors in cancer survivors, but the increase in PA gradually attenuated through the maintenance phase. Further study is needed to evaluate and increase the sustainability of the use of wearable technologies to support PA in cancer survivors.

Digital Health Interventions for Adult Patients With Cancer Evaluated in Randomized Controlled Trials: Scoping Review

BACKGROUND

Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements.

OBJECTIVE

The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer.

METHODS

A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions.

RESULTS

A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%).

CONCLUSIONS

This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.

The current status of survivorship care provision at the state level: a Wisconsin-based assessment

PURPOSE

As the number of cancer survivors grows, the responsibility for addressing their unique physical and emotional needs also increases. Survivorship care services vary by geography, health system, and insurance coverage. We aimed to understand the state of survivorship care services in Wisconsin's cancer facilities.

METHODS

The selection of cancer treatment facilities sought to provide a geographically representative sample. An adapted Patient-Centered Survivorship Care Index was comprised of questions regarding different aspects of survivorship practices. Areas of interest included disciplines incorporated, services provided, standards of care, and discussion of late-term effects, among others.

RESULTS

Out of 90 sites invited, 40 responded (44.4%). Oncologists, physician assistants, and nurse practitioners were the most common follow-up care disciplines. Risk reduction services, dietary services, access to physical activity, and behavioral health specialist referral were described as standards of care in less than half of sites. All sites reported working with community partners, 92.5% of which worked with YMCA-related programs. Discussion of long-term effects was a standard of care for all sites. Effects such as emotional distress and health practice changes were frequently discussed with almost all patients, while sexual functioning and fertility were not.

CONCLUSIONS

Services and specialties related to behavioral health, fertility/sexual health, and rehabilitation and physical activity varied between sites. Such services may be offered less often due to variable insurance coverage.

IMPLICATIONS FOR CANCER SURVIVORS

Policy solutions should be explored to increase insurance coverage and provision rates of necessary survivorship services to keep up with the projected increase in demand. Given imperfect and evolving measurement tools to assess needs for cancer survivorship care services, cancer survivors should feel empowered to voice when they have unmet needs and request referrals.

A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population

Simple Summary

The use of wearable devices in clinical care is gaining popularity among cancer patients. The COVID-19 pandemic highlighted the value of wearable devices for monitoring health. Wearable devices are used to record and monitor real-time data like physical activity, sleep metrics, and heart rate variables. The use of wearable devices can directly impact clinical decision-making. There are few pieces of evidence that prove that wearable could improve the quality of patient care while reducing the cost of care, such as remote health monitoring. The generated big data by the wearable device is both a challenge and an opportunity. Researchers can apply artificial intelligence and machine learning techniques to improve wearable devices and their usage among cancer patients. In this scoping review, we assessed the adherence to clinical outcomes of wrist-worn wearable devices in the cancer population.

Abstract

The use of wearable devices (WDs) in healthcare monitoring and management has attracted increasing attention. A major problem is patients’ adherence and acceptance of WDs given that they are already experiencing a disease burden and treatment side effects. This scoping review explored the use of wrist-worn devices in the cancer population, with a special focus on adherence and clinical outcomes. Relevant articles focusing on the use of WDs in cancer care management were retrieved from PubMed, Scopus, and Embase from 1 January 2017 to 3 March 2022. Studies were independently screened and relevant information was extracted. We identified 752 studies, of which 38 met our inclusion criteria. Studies focused on mixed, breast, colorectal, lung, gastric, urothelial, skin, liver, and blood cancers. Adherence to WDs varied from 60% to 100%. The highest adherence was reported in the 12-week studies. Most studies focused on physical activity, sleep analysis, and heart vital signs. Of the 10 studies that described patient-reported outcomes using questionnaires and personal interviews, 8 indicated a positive correlation between the patient-reported and wearable outcomes. The definitions of the outcome measures and adherence varied across the studies. A better understanding of the intervention standards in terms of the clinical outcomes could improve adherence to wearables.

mHealth Interventions to Promote a Healthy Diet and Physical Activity among Cancer Survivors: A Systematic Review of Randomized Controlled Trials

Simple Summary

The number of cancer survivors has increased dramatically in the past several decades. Research indicates that health behaviors, including having a healthy diet and engaging in regular exercise, may improve the treatment outcomes and quality of life of cancer survivors. Behavioral interventions using web and mobile technology may be feasible and acceptable approaches to modify physical activity and dietary behaviors. This review summarizes the feasibility, acceptability and estimated effects of physical activity and dietary interventions using web and mobile technology from the published studies.

Abstract

Background: Technology-based interventions are increasingly used to improve physical activity (PA) and diet. Methods: We conducted a systematic review of randomized controlled trials (RCTs) published up to August 2021 that tested mobile health (mHealth) PA and/or dietary interventions among cancer survivors and reported on the feasibility, satisfaction, behavioral change, and/or quality of life (QOL) outcomes. Results: In total, 61 articles were identified on PubMed, and 23 of those met the inclusion criteria. The most common cancers were breast (n = 1000), prostate (n = 713), and colorectal (n = 650). Participants were predominantly White (median: 84%, interquartile range (IQR): 20%) and college-educated (58%). The interventions varied, but the most common combination of components (six studies) was a website/mobile app with an activity tracker and coaching. In terms of duration, 70% (n = 16) of the interventions lasted 12 weeks. The median total tracker wear was 87% of the study days (IQR: 6%) and the median text-message reply rate was 73% (IQR 4%). Most participants (median: 87%; IQR: 16%) were satisfied with at least one intervention component. Eleven out of 18 studies examining behavioral change reported significant between-group differences and six out of 11 studies examining QoL reported significant improvements. Conclusions: mHealth interventions are a promising approach to improving the PA and diets of cancer survivors. Research in racially/ethnically and socioeconomically diverse populations is needed.

Effect of Psychological Intervention-Assisted Comfort Nursing Based on PERMA Model on Stress and Psychological Changes of Patients after Breast Cancer Surgery

Objective

To investigate the emotional response, stress and psychological changes of patients with breast cancer after surgery for psychological intervention-assisted comfort nursing based on the PERMA model.

Methods

A total of 100 postoperative breast cancer patients admitted to our hospital from March 2019 to June 2021 were selected as prospective research objects. According to a random number table, they were divided into a control group and an observation group with 50 cases each. Among them, the control group implemented routine nursing care, and the observation group implemented psychological intervention-assisted comfort care based on the PERMA model on the basis of the control group. The differences in compliance behavior, self-care ability, emotional response, stress response changes, and pain scores of the two groups of breast cancer patients before and after nursing were compared.

Results

After nursing, the mental behavior scores, exercise scores, medication scores, and balanced diet scores of the two groups of breast cancer patients after surgery were significantly improved. The observation group's compliance behavior scores were significantly higher than those of the control group. In the two groups of breast cancer patients, postoperative anxiety, depression, fatigue, and anger of the patients were significantly improved, and the emotional response score of the observation group was significantly lower than that of the control group. The self-care skill score, self-responsibility score, health knowledge score, and self-concept score of the observation group were excellent compared with those of the control group; the difference was significant by the above statistics (P < 0.05). The HR and MAP of the control group during the operation were higher than those 1 day before the start of the operation and decreased at the end of the operation, but still higher than the level 1 day before the start of the operation; the change trend of the observation group was the same as that of the control group, but there were differences between the time points. There was no significant significance (P > 0.05). The HR and MAP of the observation group during the operation were lower than those of the control group, and the MAP at the end of the operation was lower than that of the control group. This difference was statistically significant (P < 0.05). In the control group, the values increased at the time point during the operation and decreased at the end of the operation, but still higher than the level 1 day before the operation. The difference was statistically significant (P < 0.05). The change trend of the observation group was the same as that of the control group; and the values during and at the end of the operation were all lower than those of the control group. This difference was statistically significant (P < 0.05). The pain scores of the two groups of patients at different time points were significantly improved, and the observation group was significantly less than the control group. This difference was statistically significant (P < 0.05).

Conclusion

Psychological intervention-assisted comfort nursing can effectively enhance the compliance behavior of patients after breast cancer surgery, improve the emotional response, stress response, and pain of patients, and have certain reference value for the nursing of patients after breast cancer surgery.

A systematic scoping review of post-treatment lifestyle interventions for adult cancer survivors and family members

PURPOSE

Supporting the health of cancer survivors and their families from diagnosis through survivorship is a recognized priority. However, the extent to which health promotion efforts after the completion of acute treatment attend to the needs of adult survivors and families is unclear. This systematic scoping review summarizes the key characteristics of post-treatment lifestyle interventions aiming to improve diet, physical activity, and/or weight-related outcomes for adult cancer survivors and family members.

METHODS

We retrieved relevant studies from six databases using keywords. Studies were appraised for quality and limited to English-language, peer-reviewed journal articles published in or after 2005.

RESULTS

A total of 2,376 articles were obtained from the databases; 14 main articles (and 2 supplemental articles) representing 14 unique interventions were retained for our analysis. Most interventions were designed to modify aspects of participant diet and physical activity (in combination) or physical activity alone; cited social cognitive theory as a guiding or interpretative framework; included survivors of multiple cancer types; and were limited to one type of familial relationship (e.g., spouse/partner, sister). Where reported, intervention samples were predominantly White.

CONCLUSIONS

Few post-treatment interventions concurrently target cancer survivor and family members' positive lifestyle behaviors. Positive findings highlight the potential for expanding this area of intervention research and increasing understanding of individual and familial factors that contribute to successful post-treatment family interventions.

IMPLICATIONS FOR CANCER SURVIVORS

Promoting cancer survivors' healthy behaviors within the family context could capitalize on existing support networks and improve the health of family members in supportive roles.

Effect and feasibility of wearable physical activity trackers and pedometers for increasing physical activity and improving health outcomes in cancer survivors: A systematic review and meta-analysis

PURPOSE

This systematic review and meta-analysis aimed to evaluate the effect of wearable devices for improving physical activity and health-related outcomes in cancer survivors.

METHODS

CINAHL, Cochrane, Ebscohost, MEDLINE, Pubmed, ProQuest Health and Medical Complete, ProQuest Nursing and Allied Health Source, ScienceDirect, and SPORTDiscus databases were searched for randomized controlled trials published before September 1, 2020, that evaluated interventions involving wearable devices in cancer survivors. Standardized mean differences (SMDs) were calculated to assess effects on physical activity and health-related outcomes. Subgroup analyses were conducted to assess whether the effects differed by interventions and cancer characteristics. Risk of bias was assessed using the Cochrane risk of bias tool.

RESULTS

Thirty-five trials were included (breast cancer, n = 15, 43%). Intervention durations ranged between 4 weeks and 1 year. Most trials (n = 25, 71%) involved pedometer-based physical activity interventions. Seven (20%) involved Fitbit-based interventions, and 3 (9%) involved other wearable physical activity trackers (e.g., Polar, Garmin). Compared to usual care, wearable devices had moderate-to-large effects (SMD range 0.54-0.87, p < 0.001) on moderate-intensity physical activity, moderate-to-vigorous-intensity physical activity, total physical activity, and daily steps. Compared to usual care, those in the intervention had higher quality of life, aerobic fitness, physical function, and reduced fatigue (SMD range = 0.18-0.66, all p < 0.05).

CONCLUSION

Wearable physical activity trackers and pedometers are effective tools that increase physical activity and improve health-related outcomes in individuals with cancer. Identifying how these devices can be implemented for longer-term use with other intervention components remains an area for future research.

Effectiveness of physical activity monitors in adults: systematic review and meta-analysis

OBJECTIVE

To estimate the effectiveness of physical activity monitor (PAM) based interventions among adults and explore reasons for the heterogeneity.

DESIGN

Systematic review and meta-analysis.

STUDY SELECTION

The electronic databases MEDLINE, Embase, SPORTDiscus, CINAHL, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched on 4 June 2021. Eligible randomised controlled trials compared interventions in which adults received feedback from PAMs with control interventions in which no feedback was provided. No restrictions on type of outcome measurement, publication date, or language were applied.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data and assessed risk of bias. Random effects meta-analyses were used to synthesise the results. The certainty of evidence was rated by the Grading of Recommendations Assessment and Evaluation (GRADE) approach.

MAIN OUTCOME MEASURES

The three primary outcomes of interest were physical activity, moderate to vigorous physical activity, and sedentary time.

RESULTS

121 randomised controlled trials with 141 study comparisons, including 16 743 participants, were included. The PAM based interventions showed a moderate effect (standardised mean difference 0.42, 95% confidence interval 0.28 to 0.55) on physical activity, equivalent to 1235 daily steps; a small effect (0.23, 0.16 to 0.30) on moderate to vigorous physical activity, equivalent to 48.5 weekly minutes; and a small insignificant effect (-0.12, -0.25 to 0.01) on sedentary time, equal to 9.9 daily minutes. All outcomes favoured the PAM interventions.

CONCLUSIONS

The certainty of evidence was low for the effect of PAM based interventions on physical activity and moderate for moderate to vigorous physical activity and sedentary time. PAM based interventions are safe and effectively increase physical activity and moderate to vigorous physical activity. The effect on physical activity and moderate to vigorous physical activity is well established but might be overestimated owing to publication bias.

STUDY REGISTRATION

PROSPERO CRD42018102719.

Feasibility, safety, and acceptability of a remotely monitored exercise pilot CHAMP: A Clinical trial of High-intensity Aerobic and resistance exercise for Metastatic castrate-resistant Prostate cancer

Background

Exercise may improve clinical and quality of life outcomes for men with prostate cancer. No randomized controlled trials (RCTs) have examined the feasibility, safety, and acceptability of remote exercise training in men with metastatic castrate‐resistant prostate cancer (mCRPC).

Methods

We conducted a pilot RCT (1:1:1 aerobic or resistance exercise 3x/week or usual care) to determine the feasibility, safety, and acceptability of remotely monitored exercise over 12 weeks in 25 men with mCRPC. A prescribed exercise program was based on baseline testing including high‐ and moderate‐intensity aerobic exercise or resistance exercise completed at a local exercise facility. Feasibility was based on attendance, adherence, and tolerance; safety on adverse events; and acceptability on participant interviews.

Results

Between March 2016 and March 2020, 25 patients were randomized (8 aerobic, 7 resistance, and 10 control). Twenty‐three men (82%) completed the 12‐week study. Men who completed the remote intervention attempted 90% and 96% of prescribed aerobic and resistance training sessions, respectively, and 86% and 88% of attempted sessions were completed as or more than prescribed. We observed changes in performance tests that corresponded with the exercise prescription. No safety concerns were identified. Ninety percent of participants interviewed were satisfied with the program and would recommend it to others.

Conclusions

Remotely monitored exercise training is feasible, safe, and acceptable in men with mCRPC; there was no difference in these outcomes by mode of exercise. Through this research, we provide direction and rationale for future studies of exercise and clinical outcomes in patients with metastatic prostate cancer.

Wearable activity trackers and artificial intelligence in the management of rheumatic diseases : Where are we in 2021?

Wearable activity trackers are playing an increasingly important role in healthcare. In the field of rheumatic and musculoskeletal diseases (RMDs), various applications are currently possible. This review will present the use of activity trackers to promote physical activity levels in rheumatology, as well as the use of trackers to measure health parameters and detect flares using artificial intelligence. Challenges and limitations of the use of artificial intelligence will be discussed, as well as technical issues when using activity trackers in clinical practice.

mHealth Interventions to Address Physical Activity and Sedentary Behavior in Cancer Survivors: A Systematic Review

This review aimed to identify, evaluate, and synthesize the scientific literature on mobile health (mHealth) interventions to promote physical activity (PA) or reduce sedentary behavior (SB) in cancer survivors. We searched six databases from 2000 to 13 April 2020 for controlled and non-controlled trials published in any language. We conducted best evidence syntheses on controlled trials to assess the strength of the evidence. All 31 interventions included in this review measured PA outcomes, with 10 of them also evaluating SB outcomes. Most study participants were adults/older adults with various cancer types. The majority (n = 25) of studies implemented multicomponent interventions, with activity trackers being the most commonly used mHealth technology. There is strong evidence for mHealth interventions, including personal contact components, in increasing moderate-to-vigorous intensity PA among cancer survivors. However, there is inconclusive evidence to support mHealth interventions in increasing total activity and step counts. There is inconclusive evidence on SB potentially due to the limited number of studies. mHealth interventions that include personal contact components are likely more effective in increasing PA than mHealth interventions without such components. Future research should address social factors in mHealth interventions for PA and SB in cancer survivors.

Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review

BACKGROUND

Commercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor their daily physical activity (PA), including the number of steps, type of PA, amount of sleep, and other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and their use in specific age groups across the life course is not well understood.

OBJECTIVE

This narrative review aims to characterize how PA intervention studies across the life course use Fitbit devices by synthesizing and summarizing information on device selection, intended use (intervention vs measurement tool), participant wear instructions, rates of adherence to device wear, strategies used to boost adherence, and the complementary use of other PA measures. This review provides intervention scientists with a synthesis of information that may inform future trials involving Fitbit devices.

METHODS

We conducted a search of the Fitabase Fitbit Research Library, a database of studies published between 2012 and 2018. Of the 682 studies available on the Fitabase research library, 60 interventions met the eligibility criteria and were included in this review. A supplemental search in PubMed resulted in the inclusion of 15 additional articles published between 2019 and 2020. A total of 75 articles were reviewed, which represented interventions conducted in childhood; adolescence; and early, middle, and older adulthood.

RESULTS

There was considerable heterogeneity in the use of Fitbit within and between developmental stages. Interventions for adults typically required longer wear periods, whereas studies on children and adolescents tended to have more limited device wear periods. Most studies used developmentally appropriate behavior change techniques and device wear instructions. Regardless of the developmental stage and intended Fitbit use (ie, measurement vs intervention tool), the most common strategies used to enhance wear time included sending participants reminders through texts or emails and asking participants to log their steps or synchronize their Fitbit data daily. The rates of adherence to the wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbit with additional objective or self-reported measures for PA.

CONCLUSIONS

Overall, the heterogeneity in Fitbit use across PA intervention studies reflects its relative novelty in the field of research. As the use of monitoring devices continues to expand in PA research, the lack of uniformity in study protocols and metrics of reported measures represents a major issue for comparability purposes. There is a need for increased transparency in the prospective registration of PA intervention studies. Researchers need to provide a clear rationale for the use of several PA measures and specify the source of their main PA outcome and how additional measures will be used in the context of Fitbit-based interventions.

Wearable activity trackers for promoting physical activity: A systematic meta-analytic review

PURPOSE

Although wearable activity trackers hold a promise of nudging people toward a more active lifestyle, current research reveals inconsistent findings regarding the effectiveness of them. The objectives of this paper are two-fold: (1) to synthesize evidence on the effects of wearable activity trackers for improving physical activities, and (2) to identify potential moderators of effect size.

METHODS

A systematic meta-analytic review was conducted. Forty-eight eligible papers based on forty-four distinct trials were identified through a systematic literature search process. Two authors independently extracted information from each study based on predefined data fields. Random-effects meta-analysis, subgroup analysis, and meta-regression analysis were employed.

RESULTS

First, interventions with wearable activity trackers significantly increased daily steps and weekly moderate-to-vigorous physical activity but had no impact on light physical activity or sedentary behavior. Second, daily steps and weekly moderate-to-vigorous physical activity were associated with participants' characteristics (i.e., gender, age, medical condition, and baseline physical activity level) and intervention features (i.e., sensors, modes of expert support, and intervention duration). The identified factors explained 53 % of the total variance for weekly moderate-to-vigorous physical activity.

CONCLUSIONS

The use of wearable activity trackers effectively improves conscious exercise behavior, including daily steps and weekly moderate-to-vigorous physical activity, but not effective for modifying habitual behavior, such as light physical activity and sedentary behavior. We also explicitly show that the extent to which the interventions with wearable activity trackers help users is contingent on the type of users and the design and delivery of interventions. Future studies are called to validate the findings and to offer theoretical explanations.

Long-term Effectiveness of mHealth Physical Activity Interventions: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Mobile health (mHealth) interventions can increase physical activity (PA); however, their long-term impact is not well understood.

OBJECTIVE

The primary aim of this study is to understand the immediate and long-term effects of mHealth interventions on PA. The secondary aim is to explore potential effect moderators.

METHODS

We performed this study according to the Cochrane and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched PubMed, the Cochrane Library, SCOPUS, and PsycINFO in July 2020. Eligible studies included randomized controlled trials of mHealth interventions targeting PA as a primary outcome in adults. Eligible outcome measures were walking, moderate-to-vigorous physical activity (MVPA), total physical activity (TPA), and energy expenditure. Where reported, we extracted data for 3 time points (ie, end of intervention, follow-up ≤6 months, and follow-up >6 months). To explore effect moderators, we performed subgroup analyses by population, intervention design, and control group type. Results were summarized using random effects meta-analysis. Risk of bias was assessed using the Cochrane Collaboration tool.

RESULTS

Of the 2828 identified studies, 117 were included. These studies reported on 21,118 participants with a mean age of 52.03 (SD 14.14) years, of whom 58.99% (n=12,459) were female. mHealth interventions significantly increased PA across all the 4 outcome measures at the end of intervention (walking standardized mean difference [SMD] 0.46, 95% CI 0.36-0.55; P<.001; MVPA SMD 0.28, 95% CI 0.21-0.35; P<.001; TPA SMD 0.34, 95% CI 0.20-0.47; P<.001; energy expenditure SMD 0.44, 95% CI 0.13-0.75; P=.01). Only 33 studies reported short-term follow-up measurements, and 8 studies reported long-term follow-up measurements in addition to end-of-intervention results. In the short term, effects were sustained for walking (SMD 0.26, 95% CI 0.09-0.42; P=.002), MVPA (SMD 0.20, 95% CI 0.05-0.35; P=.008), and TPA (SMD 0.53, 95% CI 0.13-0.93; P=.009). In the long term, effects were also sustained for walking (SMD 0.25, 95% CI 0.10-0.39; P=.001) and MVPA (SMD 0.19, 95% CI 0.11-0.27; P<.001). We found the study population to be an effect moderator, with higher effect scores in sick and at-risk populations. PA was increased both in scalable and nonscalable mHealth intervention designs and regardless of the control group type. The risk of bias was rated high in 80.3% (94/117) of the studies. Heterogeneity was significant, resulting in low to very low quality of evidence.

CONCLUSIONS

mHealth interventions can foster small to moderate increases in PA. The effects are maintained long term; however, the effect size decreases over time. The results encourage using mHealth interventions in at-risk and sick populations and support the use of scalable mHealth intervention designs to affordably reach large populations. However, given the low evidence quality, further methodologically rigorous studies are warranted to evaluate the long-term effects.

A Novel Behavioral Intervention for Rural Appalachian Cancer Survivors (weSurvive): Participatory Development and Proof-of-Concept Testing

Background

Addressing the modifiable health behaviors of cancer survivors is important in rural communities that are disproportionately impacted by cancer (eg, those in Central Appalachia). However, such efforts are limited, and existing interventions may not meet the needs of rural communities.

Objective

This study describes the development and proof-of-concept testing of weSurvive, a behavioral intervention for rural Appalachian cancer survivors.

Methods

The Obesity-Related Behavioral Intervention Trials (ORBIT) model, a systematic model for designing behavioral interventions, informed the study design. An advisory team (n=10) of community stakeholders and researchers engaged in a participatory process to identify desirable features for interventions targeting rural cancer survivors. The resulting multimodal, 13-week weSurvive intervention was delivered to 12 participants across the two cohorts. Intervention components included in-person group classes and group and individualized telehealth calls. Indicators reflecting five feasibility domains (acceptability, demand, practicality, implementation, and limited efficacy) were measured using concurrent mixed methods. Pre-post changes and effect sizes were assessed for limited efficacy data. Descriptive statistics and content analysis were used to summarize data for other domains.

Results

Participants reported high program satisfaction (acceptability). Indicators of demand included enrollment of cancer survivors with various cancer types and attrition (1/12, 8%), recruitment (12/41, 30%), and attendance (median 62%) rates. Dietary (7/12, 59%) and physical activity (PA; 10/12, 83%) behaviors were the most frequently chosen behavioral targets. However, the findings indicate that participants did not fully engage in action planning activities, including setting specific goals. Implementation indicators showed 100% researcher fidelity to delivery and retention protocols, whereas practicality indicators highlighted participation barriers. Pre-post changes in limited efficacy outcomes regarding cancer-specific beliefs and knowledge and behavior-specific self-efficacy, intentions, and behaviors were in desired directions and demonstrated small and moderate effect sizes. Regarding dietary and PA behaviors, effect sizes for fruit and vegetable intake, snacks, dietary fat, and minutes of moderate-to-vigorous activity were small (Cohen d=0.00 to 0.32), whereas the effect sizes for change in PA were small to medium (Cohen d=0.22 to 0.45).

Conclusions

weSurvive has the potential to be a feasible intervention for rural Appalachian cancer survivors. It will be refined and further tested based on the study findings, which also provide recommendations for other behavioral interventions targeting rural cancer survivors. Recommendations included adding additional recruitment and engagement strategies to increase demand and practicality as well as increasing accountability and motivation for participant involvement in self-monitoring activities through the use of technology (eg, text messaging). Furthermore, this study highlights the importance of using a systematic model (eg, the ORBIT framework) and small-scale proof-of-concept studies when adapting or developing behavioral interventions, as doing so identifies the intervention’s potential for feasibility and areas that need improvement before time- and resource-intensive efficacy trials. This could support a more efficient translation into practice.

Provider Discussion about Lifestyle by Cancer History: A Nationally Representative Survey

BACKGROUND

Providers are uniquely positioned to encourage health-promoting behaviors, particularly among cancer survivors where patients develop trust in providers.

METHODS

We utilized the National Health Interview Survey to identify adults who reported a visit to a provider in the prior year (44,385 individuals with no cancer history and 4,792 cancer survivors), and reported prevalence of provider discussions on weight loss, physical activity, diet, and smoking. We used generalized linear mixed models to examine predicted prevalence of provider lifestyle discussions by cancer history overall, and among those who do not meet body mass index (BMI), activity, or smoking guidelines.

RESULTS

Among those with a BMI of 25-<60 kg/m², 9.2% of those with a cancer history and 11.6% of those without a cancer history reported being told to participate in a weight loss program (P < 0.001). Overall, 31.7% of cancer survivors and 35.3% of those with no cancer history were told to increase their physical activity (P < 0.001). Only 27.6% of cancer survivors and 32.2% of those with no cancer history reported having a general discussion of diet (P < 0.001). Among smokers, 67.3% of cancer survivors and 69.9% of those with no cancer history reported counseling on smoking (P = 0.309).

CONCLUSIONS

Fewer cancer survivors, who are at increased risk for health complications, are reporting provider discussions about critical lifestyle issues than those with no cancer history.

IMPACT

Our nationally representative results suggest that providers are missing an opportunity for influencing patient lifestyle factors, which could lead to mitigation of late and long-term effects of treatment.

Harnessing consumer smartphone and wearable sensors for clinical cancer research

As smartphones and consumer wearable devices become more ubiquitous, there is a growing opportunity to capture rich mobile sensor data continuously, passively, and in real-world settings with minimal burden. In the context of cancer, changes in these passively sensed digital biomarkers may reflect meaningful variation in functional status, symptom burden, quality of life, and risk for adverse clinical outcomes. These data could enable real-time remote monitoring of patients between clinical encounters and more proactive, comprehensive, and personalized care. Over the past few years, small studies across a variety of cancer populations support the feasibility and potential clinical value of mobile sensors in oncology. Barriers to implementing mobile sensing in clinical oncology care include the challenges of managing and making sense of continuous sensor data, patient engagement issues, difficulty integrating sensor data into existing electronic health systems and clinical workflows, and ethical and privacy concerns. Multidisciplinary collaboration is needed to develop mobile sensing frameworks that overcome these barriers and that can be implemented at large-scale for remote monitoring of deteriorating health during or after cancer treatment or for promotion and tailoring of lifestyle or symptom management interventions. Leveraging digital technology has the potential to enrich scientific understanding of how cancer and its treatment affect patient lives, to use this understanding to offer more timely and personalized support to patients, and to improve clinical oncology outcomes.

Acceptability and Usefulness of a Dyadic, Tailored, Web-Based, Psychosocial and Physical Activity Self-Management Program (TEMPO): A Qualitative Study

Caregivers of men with prostate cancer report high burden, and there is a need to develop cost-effective programs to support them in their roles. This study reports on the acceptability of a dyadic, Tailored, wEb-based, psychosocial and physical activity (PA) self-Management PrOgram called TEMPO. TEMPO was accessed by a convenience sample of 19 men with prostate cancer and their caregivers (n = 18), as well as six health care professionals (HCPs). User feedback was gathered via semi-structured qualitative interviews. Data were analyzed using thematic analysis. Most dyads were satisfied with TEMPO, particularly with the dyadic feature of TEMPO, the focus on goal setting to integrate self-management, and the extensive health library. The patients and caregivers motivated each other as they worked through TEMPO. Most goals to achieve during TEMPO pertained to increasing PA, followed by learning physical symptom management. One unanticipated benefit of TEMPO for the dyads was improved communication. HCPs agreed that TEMPO was a novel approach to online cancer self-management and they echoed the benefits reported by dyads. Key suggestions for improving TEMPO were to reduce repetition, tailor content, add more exercise ideas, and have more printing options. This study provides a strong foundation on which to plan a larger trial.

Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis

BACKGROUND

Unhealthy behaviors, such as physical inactivity, sedentary lifestyle, and unhealthful eating, remain highly prevalent, posing formidable challenges in efforts to improve cardiovascular health. While traditional interventions to promote healthy lifestyles are both costly and effective, wearable trackers, especially Fitbit devices, can provide a low-cost alternative that may effectively help large numbers of individuals become more physically fit and thereby maintain a good health status.

OBJECTIVE

The objectives of this meta-analysis are (1) to assess the effectiveness of interventions that incorporate a Fitbit device for healthy lifestyle outcomes (eg, steps, moderate-to-vigorous physical activity, and weight) and (2) to identify which additional intervention components or study characteristics are the most effective at improving healthy lifestyle outcomes.

METHODS

A systematic review was conducted, searching the following databases from 2007 to 2019: MEDLINE, EMBASE, CINAHL, and CENTRAL (Cochrane). Studies were included if (1) they were randomized controlled trials, (2) the intervention involved the use of a Fitbit device, and (3) the reported outcomes were related to healthy lifestyles. The main outcome measures were related to physical activity, sedentary behavior, and weight. All the studies were assessed for risk of bias using Cochrane criteria. A random-effects meta-analysis was conducted to estimate the treatment effect of interventions that included a Fitbit device compared with a control group. We also conducted subgroup analysis and fuzzy-set qualitative comparative analysis (fsQCA) to further disentangle the effects of intervention components.

RESULTS

Our final sample comprised 41 articles reporting the results of 37 studies. For Fitbit-based interventions, we found a statistically significant increase in daily step count (mean difference [MD] 950.54, 95% CI 475.89-1425.18; P<.001) and moderate-to-vigorous physical activity (MD 6.16, 95% CI 2.80-9.51; P<.001), a significant decrease in weight (MD -1.48, 95% CI -2.81 to -0.14; P=.03), and a nonsignificant decrease in objectively assessed and self-reported sedentary behavior (MD -10.62, 95% CI -35.50 to 14.27; P=.40 and standardized MD -0.11, 95% CI -0.48 to 0.26; P=.56, respectively). In general, the included studies were at low risk for bias, except for performance bias. Subgroup analysis and fsQCA demonstrated that, in addition to the effects of the Fitbit devices, setting activity goals was the most important intervention component.

CONCLUSIONS

The use of Fitbit devices in interventions has the potential to promote healthy lifestyles in terms of physical activity and weight. Fitbit devices may be useful to health professionals for patient monitoring and support.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42019145450; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42019145450.

Effect of a technology-supported physical activity intervention on health-related quality of life, sleep, and processes of behavior change in cancer survivors: A randomized controlled trial

OBJECTIVES

This pilot trial tested the effect of adding a multi-level, technology-based physical activity intervention module to a standard survivorship care plan for breast and colorectal cancer survivors. The objective of this analysis was to determine whether the physical activity module improved health-related quality of life, sleep, and factors key to lasting behavior change (eg, social support, self-efficacy).

METHODS

Breast and colorectal cancer survivors (n = 50) were enrolled alongside a support partner. Survivors were assigned to receive a standard survivorship care plan either alone or augmented by a 12-week multi-component physical activity module. The module included a Fitbit tracker (with the physical activity data integrated into the electronic health record for clinician review) and customized email feedback. Physical activity was measured using the ActiGraph GT3X+. Psychosocial outcomes included the SF-36, FACT, ISEL, PROMIS sleep measures, and physical activity beliefs. Data were analyzed using linear mixed modeling.

RESULTS

Cancer survivors were aged 54.4 ± 11.2 years and were 2.0 ± 1.5 years from diagnosis. Relative to comparison, the intervention was associated with moderate-to-large improvements in physical health (effect size: d = 0.39, 95% CI = 0.0, 0.78), mental health (d = 0.59, 95% CI = 0.19, 0.99), sleep impairment (d = 0.62, 95% CI = -1.02, -0.22), and exercise self-efficacy (d = 0.60, 95% CI = 0.20, 1.0).

CONCLUSIONS

The intervention delivered meaningful improvements in survivors' quality of life, social support, and sleep impairment. If replicated in a larger sample, adding a technology-supported physical activity module to survivorship care plans may be a practical strategy for supporting healthy survivorship.

TRIAL REGISTRATION

ClinicalTrials.gov#: NCT02677389.

Feasible but Not Yet Efficacious: A Scoping Review of Wearable Activity Monitors in Interventions Targeting Physical Activity, Sedentary Behavior, and Sleep

Purpose of Review

The present review aimed to explore the range and characteristics of interventions that utilize WAM and descriptively summarize the efficacy of these interventions.

Recent Findings

A total of 65 articles (61 studies) were included in this review. Most of the WAM-based interventions (n=58) were designed to improve physical activity (PA). Interventions targeting sedentary behavior (SB) were much less common (n=12), and even less frequent were WAM-based sleep interventions (n=3). Most studies tested the feasibility of WAM-based interventions; hence, efficacy of these interventions in improving PA, SB, and/or sleep could not be conclusively determined. Nonetheless, WAM-based interventions showed considerable potential in increasing PA and decreasing SB.

Summary

WAM-based PA interventions exhibited preliminary efficacy in increasing PA. Although not as many interventions were focused on SB, current interventions also showed potential in decreasing sedentary time. Meanwhile, more evidence is needed to determine the utility of WAM in improving sleep. Major challenges with including WAM as part of interventions are reduced engagement in using the devices over time and the rapid changes in technology resulting in devices becoming obsolete soon after completion of an efficacy trial.

Use of consumer wearable devices to promote physical activity among breast, prostate, and colorectal cancer survivors: a review of health intervention studies

PURPOSE

A growing amount of research has successfully incorporated Fitbit devices and other wearable activity trackers into technology-oriented lifestyle interventions to increase physical activity among cancer survivors.

METHODS

The present review of this literature is based upon bibliographic searches in PubMed and CINAHL and relevant search terms. Articles published in English from January 1, 2009, through October 16, 2019, were considered.

RESULTS

A total of 1726 article citations were identified in PubMed and non-duplicates in CINAHL. After screening the abstracts or full texts of these articles and reviewing the references of previous review articles, we found 13 studies that met the eligibility criteria. Of these, 8 were randomized controlled trials, one was a pre-post-test trial, and 4 were qualitative studies (focus groups, in-depth interviews). The studies focused on breast cancer (n = 8), prostate cancer (n = 2), and colorectal cancer (n = 1), and the remainder focused on more than one cancer site.

CONCLUSIONS

Additional research is needed to examine the efficacy of consumer wearable devices in promoting physical activity and weight management among cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Cancer survivors show an increase in physical activity when using consumer wearable activity trackers. Increased physical activity plays an important role in alleviating many adverse effects of breast cancer therapy as well as improving morbidity and mortality. Additional research such as clinical trials focused on the development of successful interventions utilizing these devices is warranted.

Outcomes of a text message, Fitbit, and coaching intervention on physical activity maintenance among cancer survivors: a randomized control pilot trial

PURPOSE

We aimed to determine the effect of a health coach, text message, and Fitbit intervention on moderate-to-vigorous physical activity (MVPA) maintenance in cancer survivors following a supervised exercise program compared to provision of a Fitbit alone.

METHODS

Participants were recruited during the last month of an exercise-based oncology rehabilitation program and randomly assigned to the full intervention (n = 34) or Fitbit-only control groups (n = 32). In total, 59 cancer survivors completed the program (81% female; mean age 61.4 ± 9.0). Group by time differences in accelerometer-measured MVPA was assessed using linear mixed models. Additionally, we examined mean weekly Fitbit-derived MVPA levels.

RESULTS

Intervention participants maintained weekly MVPA from pre- (295.7 ± 139.6) to post-intervention (322.0 ± 199.4; p = 0.37), whereas those in the Fitbit-only group had a significant decrease in MVPA (305.5 ± 181.1 pre vs 250.7 ± 166.5 post; p = 0.03, effect size 0.57). The intervention participants maintained recommended levels of MPVA for health benefits during the 8-week intervention, whereas the Fitbit-only control group did not.

CONCLUSIONS

The findings demonstrate that a remote intervention delivered through health coaching, text messages, and Fitbit can promote maintenance of MVPA after a structured program for cancer survivors. However, use of a Fitbit alone was not sufficient to prevent expected decline in MVPA. Additional research is warranted to examine long-term impacts and efficacy in a more diverse population of cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Use of a wearable tracker alone may not be sufficient for exercise maintenance among cancer survivors after transition to an independent program. Additional planning for relapse prevention is recommended.