SurvivorCHESS to increase physical activity in colon cancer survivors: can we get them moving?

App-based interventions to improve cancer outcomes rely on informational support from professionals: a systematic review

The importance of social support for cancer patients is well-established, and mobile applications hold promise for implementation. This systematic review examines app-based interventions with social support components for cancer patients, investigating the use of different support functions from different sources and the impact on cancer-related symptoms and psychological outcomes. A systematic search across five databases (EMBASE, Scopus, PsycINFO, PubMed, Web of Science) yielded 449 records, of which 17 studies (12 controlled designs) were included. Two independent reviewers extracted data and assessed study quality, revealing a high risk of bias across studies. Social support was implemented through different app functions, including contact/chat functions (n = 9), automatic alerts based on app input (n = 6) and discussion forums (n = 5). Social support predominantly focused on informational support (n = 17), mostly from healthcare professionals. Emotional support was less common (n = 7). Results indicated some promising intervention effects for pain, fatigue, nausea/vomiting, insomnia, constipation and overall symptom distress, but heterogeneous effects for health-related quality of life. Overall, results were mixed, but indicate that mobile apps incorporating social support may hold promise for cancer patients. However, future studies should focus on measuring and reporting social support as an intervention mechanism to systematically investigate its specific impact and improve effectiveness.HighlightsApps for cancer patients predominantly include informational social supportEmotional social support is substantially less frequently includedApps focus on formal support sources like healthcare professionalsFirst results are somewhat promising for improving cancer-related symptoms.

Digital Therapeutic (Mika) Targeting Distress in Patients With Cancer: Results From a Nationwide Waitlist Randomized Controlled Trial

BACKGROUND

Distress is highly prevalent among patients with cancer, but supportive care needs often go unmet. Digital therapeutics hold the potential to overcome barriers in cancer care and improve health outcomes.

OBJECTIVE

This study conducted a randomized controlled trial to investigate the efficacy of Mika, an app-based digital therapeutic designed to reduce distress across the cancer trajectory.

METHODS

This nationwide waitlist randomized controlled trial in Germany enrolled patients with cancer across all tumor entities diagnosed within the last 5 years. Participants were randomized into the intervention (Mika plus usual care) and control (usual care alone) groups. The participants completed web-based assessments at baseline and at 2, 6, and 12 weeks. The primary outcome was the change in distress from baseline to week 12, as measured by the National Comprehensive Cancer Network Distress Thermometer. Secondary outcomes included depression, anxiety (Hospital Anxiety and Depression Scale), fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue), and quality of life (Clinical Global Impression-Improvement Scale). Intention-to-treat and per-protocol analyses were performed. Analyses of covariance were used to test for outcome changes over time between the groups, controlling for baseline.

RESULTS

A total of 218 patients (intervention: n=99 and control: n=119) were included in the intention-to-treat analysis. Compared with the control group, the intervention group reported greater reductions in distress (P=.03; ηp²=0.02), depression (P<.001; ηp²=0.07), anxiety (P=.03; ηp²=0.02), and fatigue (P=.04; ηp²=0.02). Per-protocol analyses revealed more pronounced treatment effects, with the exception of fatigue. No group difference was found for quality of life.

CONCLUSIONS

Mika effectively diminished distress in patients with cancer. As a digital therapeutic solution, Mika offers accessible, tailored psychosocial and self-management support to address the unmet needs in cancer care.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS) DRKS00026038; https://drks.de/search/en/trial/DRKS00026038.

Co-designing Healthy Living after Cancer Online: an online nutrition, physical activity, and psychosocial intervention for post-treatment cancer survivors

PURPOSE

The aim of the present study was to co-design Healthy Living after Cancer Online (HLaC Online), an online intervention supporting cancer survivors to set and meet their healthy living goals.

METHODS

Adapted from an initial telephone-delivered Healthy Living after Cancer program, wireframes (PDF black and white mock-ups) of the proposed online program were presented in a series of focus groups and interviews to our stakeholder group, which consisted of cancer survivors, oncology healthcare professionals, and representatives from cancer support organisations. Stakeholders were prompted for feedback on the wireframe and given end-user scenarios to encourage deeper engagement with the co-design process. Transcriptions underwent thematic analysis to determine which features of the program needed change or expansion.

RESULTS

27 participants took part in one of 8 focus groups or 10 interviews. Five themes were identified relating to (a) website design elements, (b) promoting and maintaining long-term engagement, (c) relatability and relevance, (d) navigating professional support, and (e) family and peer support. Recommended changes, such as simple activities and guidance videos, were integrated into the HLaC Online prototype.

CONCLUSIONS

Involving end-users in the co-design process ensured the intervention's relevance and specificity to the needs of cancer survivors. Next steps include feasibility testing the prototype, prior to commencing a national randomised control trial of HLaC Online.

IMPLICATIONS FOR CANCER SURVIVORS

HLaC Online aims to support cancer survivors to improve their quality of life by making healthy lifestyle changes in their physical activity, healthy eating, weight management, mental health, and fatigue management.

Motivation for Health Promotion in Cancer Survivors: An Evolutionary Concept Analysis

Motivation for health promotion is an essential concept in health care research, as it pertains to an individual's ability to adapt to the adversity of chronic illnesses, including cancer. Adopting Rodgers' evolutionary method of concept analysis, the objective of this article is to clarify the concept based on its existing operationalization noted in cancer survivorship literature. Through a close examination of the construction of the concept, this article facilitates the understanding of concept as it relates to the field of cancer survivorship care, which in turn helps provide guidance for developing health promotion intervention targeted at cancer survivors.

Effects of internet-based digital health interventions on the physical activity and quality of life of colorectal cancer survivors: a systematic review and meta-analysis

PURPOSE

The recent trend of Internet-based digital health interventions has driven researchers to implement them to promote physical activity (PA) and improve patients' health outcomes. This systematic review and meta-analysis aim to evaluate the effects of Internet-based digital health interventions on PA and quality of life (QoL) in colorectal cancer (CRC) survivors.

METHODS

We searched for relevant studies investigating the effects of internet-based digital health interventions published until Dec. 2022 in electronic databases (PubMed, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials, and CEPS) according to PRISMA guidelines. The Joanna Briggs Institute critical appraisal checklist was used to examine the quality of the included studies. We performed the fixed and random effects model for meta-analysis.

RESULTS

Among 746 identified studies, eight published between 2018 and 2022 were included. These covered 991 internet-based digital health interventions and 875 controls. After 6 months of internet-based digital health interventions, CRC survivors' performance in PA (standardized mean difference (SMD) = 0.23, 95% confidence interval [CI] = 0.09-0.38) and QoL (SMD = 0.11, 95% CI = 0.01-0.22) indicators improved significantly.

CONCLUSIONS

Internet-based digital health improved the PA behaviour and QoL of patients with CRC. Because of differences in intervention outcomes, additional randomized controlled trials are warranted to provide suggestions for clinical practice. Internet-based digital health interventions are promising for promoting PA in CRC survivors.

Relationship and Attachment to Digital Health Technology During Cancer Treatment

OBJECTIVE

The aim of this study is to explore the relationship that people with cancer and their family caregivers develop with symptom management technology during chemotherapy.

DATA SOURCES

A longitudinal and multi-perspective interpretative phenomenological approach was adopted. Data were collected using one-to-one in-depth interviews with people with colorectal cancer using supportive digital health symptom management technology (n=3) and their family caregivers (n=4) at two time points during chemotherapy treatment. Data were analyzed using interpretative phenomenological analysis and followed COREQ guidelines.

CONCLUSION

People with cancer and their family caregivers can develop emotional bonds with supportive symptom management technology during cancer treatment. Digital health technology can be experienced as a person guiding them during their cancer treatment. Participants felt vulnerable after the technology was returned to the research team. Participants recognized that it was not the technology that successfully facilitated them through their initial chemotherapy cycles; rather, the technology helped them learn to manage their symptoms and promoted their self-efficacy, as well as how to emotionally respond.

IMPLICATIONS FOR NURSING PRACTICE

The relationship and psychological bonds people with cancer and their family caregivers develop with technology during treatment may be critically important for oncology nurses to be aware of should digital health be prescribed within the outpatient model of cancer care. This study indicates that technology may not be needed for a full treatment experience, as digital health can promote confidence and self-efficacy regarding symptom management and prepare people with cancer to be independent after the digital health technology is returned to the research team. However, further research is needed regarding individual preferences for digital health provision.

eHealth interventions to support colorectal cancer patients' self-management after discharge from surgery-an integrative literature review

INTRODUCTION

Colorectal cancer (CRC) creates elevated self-management demands and unmet support needs post-discharge. Follow-up care through eHealth post-primary surgery may be an effective means of supporting patients' needs. This integrative review describes the evidence regarding eHealth interventions post-hospital discharge focusing on delivery mode, user-interface and content, patient intervention adherence, impact on patient-reported outcomes and experiences of eHealth.

METHODS

A university librarian performed literature searches in 2021 using four databases. After screening 1149 records, the authors read 30 full-text papers and included and extracted data from 26 papers. Two authors analysed the extracted data using the 'framework synthesis approach'.

RESULTS

The 26 papers were published between 2012 and 2022. The eHealth interventions were mainly delivered by telephone with the assistance of healthcare professionals, combined with text messages or video conferencing. The user interfaces included websites, applications and physical activity (PA) trackers. The interventions comprised the monitoring of symptoms or health behaviours, patient information, education and counselling. Evidence showed a better psychological state and improved PA. Patients reported high satisfaction with eHealth. However, patient adherence was inadequately reported.

CONCLUSIONS

eHealth interventions may positively impact CRC patients' anxiety and PA regardless of the user interface. Patients prefer technology combined with a human element.

Digital therapeutic to improve cancer-related well-being: a pilot randomized controlled trial

OBJECTIVE

This randomized waitlist controlled pilot study aimed to evaluate the feasibility and preliminary efficacy of Mika, an app-based digital therapeutic intervention hypothesized to improve management and the support of cancer patients.

METHODS

Patients with gynecological malignancies undergoing post-operative or routine outpatient chemotherapy were randomized (5:2) into intervention (Mika plus treatment-as-usual) and control (treatment-as-usual alone). Feasibility outcomes including dropout rate, reasons for dropout, and intervention adherence, as well as efficacy outcomes including depression, fatigue, and health literacy were assessed at baseline, 4, 8, and 12 weeks. Changes in efficacy outcomes from baseline to week 12 were evaluated in the intervention group only by means of Wilcoxon signed-rank tests.

RESULTS

Seventy participants (intervention group, n=50; control group, n=20) with gynecological cancer (ovarian, cervical, and endometrial) were randomized. The dropout rate increased from 15.7% (11/70) between baseline and week 4 to 37.1% (26/70) between weeks 8 and 12. Primary reasons for dropout were death (n=10) and health status deterioration (n=11). The initial high intervention adherence observed between baseline and week 4 (86% usage rate, average usage time: 120 min, average number of logins: 16.7) declined in weeks 8 to 12 (46% usage rate, average usage time: 41 min, average number of logins: 9). Participants in the intervention group showed significant intra-individual reductions in depressive symptoms by 42% (d=0.85) and fatigue symptoms by 23.1% (d=0.5) from baseline to 12 weeks.

CONCLUSIONS

This pilot study provides initial evidence of the feasibility and efficacy of Mika in improving the well-being of cancer patients. The high initial intervention adherence and significant reductions in depressive and fatigue symptoms suggest that Mika has the potential to improve the management and support of cancer patients.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS) ID: DRKS00023791; retrospectively registered on February 24, 2022.

Remote and Unsupervised Exercise Strategies for Improving the Physical Activity of Colorectal Cancer Patients: A Meta-Analysis

Colorectal cancer (CRC) burden across the world is expected to increase by ~2.2 million new cases and ~1.1 million deaths by 2030. Regular physical exercise is recommended to prevent CRC, but the myriad of protocols preclude further discussion on how to manage its variables for this population. Home-based exercise guided by remote monitoring provides an alternative to surpass the barriers of supervised exercise. However, no meta-analysis was conducted to verify the effectiveness of this intervention for improving physical activity (PA). We performed a systematic review of remote and unsupervised strategies imposed on CRC patients for improving PA and compared, via a meta-analysis, their effectiveness against CRC patients submitted to usual care or no intervention. The databases PubMed, Scopus, and Web of Science were searched on 20 September 2022. Eleven studies attained the criteria for eligibility in the qualitative approach, and seven were included in the meta-analysis. No significant effect (p = 0.06) of remote and unsupervised exercise intervention was observed. However, a sensitivity analysis including three studies that only considered CRC patients was performed, demonstrating a significant effect in favor of exercise (p = 0.008). Based on our sensitivity analysis, remote and unsupervised exercise strategies were effective to improve the PA of CRC patients.

Remote Monitoring of Colorectal Cancer Survivors Using a Smartphone App and Internet of Things-Based Device: Development and Usability Study

BACKGROUND

Patients with colorectal cancer who undergo surgery face many postoperative problems. These problems include the risk of relapse, side effects, and long-term complications.

OBJECTIVE

This study sought to design and develop a remote monitoring system as a technological solution for the postdischarge care of these patients.

METHODS

This research was conducted in 3 main steps: system feature extraction, system design, and evaluation. After feature extraction from a systematic review, the necessary features were defined by 18 clinical experts in Iran. In the next step, the architecture of the system was designed based on the requirements; the software and hardware parts of the system were embedded in the architecture, then the software system components were drawn using the unified modeling language diagrams, and the details of software system implementation were identified. Regarding the hardware design, different accessible hardware modules were evaluated, and suitable ones were selected. Finally, the usability of the system was evaluated by demonstrating it over a Skype virtual meeting session and using Nilsen's usability principles.

RESULTS

A total of 21 mandatory features in 5 main categories, including patient information registration, periodic monitoring of health parameters, education, reminders, and assessments, were defined and validated for the system. The software was developed using an ASP.Net core backend, a Microsoft SQL Server database, and an Ionic frontend alongside the Angular framework, to build an Android app. The user roles of the system included 3 roles: physicians, patients, and the system administrator. The hardware was designed to contain an Esp8266 as the Internet of Things module, an MLX90614 infrared temperature sensor, and the Maxim Integrated MAX30101 sensor for sensing the heartbeat. The hardware was designed in the shape of a wristband device using SolidWorks 2020 and printed using a 3D printer. The firmware of the hardware was developed in Arduino with the capability of firmware over the air. In evaluating the software system from the perspective of usability, the system received an average score of 3.8 out of 5 from 4 evaluators.

CONCLUSIONS

Sensor-based telemonitoring systems for patients with colorectal cancer after surgery are possible solutions that can make the process automatic for patients and caregivers. The apps for remote colorectal patient monitoring could be designed to be useful; however, more research regarding the developed system's implementation in clinic settings and hospitals is required to understand the probable barriers and limitations.

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.

Impact of connected health interventions on psychological wellbeing and quality of life in patients with cancer: A systematic review and meta-analysis

OBJECTIVE

Connected health technologies have the potential to improve access to cancer care and support and reduce costs. We aimed to assess the impacts of interventions delivered using connected health technologies on psychological and quality of life (QoL) outcomes in people living with and beyond cancer.

METHODS

PUBMED, PsycINFO, Web of Science, and EMBASE were searched using terms relating to (i) cancer, (ii) connected health, and (iii) QoL/psychological wellbeing. Studies were included if they evaluated interventions using connected health technologies and assessed psychological and/or QoL outcomes for adults at any stage of cancer treatment or survivorship.

RESULTS

Thirty-seven studies met the inclusion criteria with a total of 8956 participants. Connected health technologies included web-based applications (n = 24), smart applications (n = 12), and wearable devices (n = 1). Studies were heterogeneous in terms of intervention components. We identified five clusters: (i) Psychosocial support and rehabilitation, (ii) psychoeducation and information support, (iii) symptom monitoring, reporting and self-management, (iv) peer and social support, and (v) health coaching and physical activity training. Due to heterogeneity of outcome measures, the meta-analysis included only seven RCTs; pooled mean estimates showed connected health interventions were moderately effective in reducing symptoms of depression (SMD: -0.226, 95% CI -0.303/-0.149) and anxiety (SMD: -0.188, 95% CI: 0.279/-0.0963) compared with usual care.

CONCLUSION

While the considerable heterogeneity observed highlights the need for more rigorous studies to improve reproducibility and efficiency, results suggest that connected health interventions have the potential to improve psychological wellbeing and QoL outcomes in people living with and beyond cancer.

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.

Cancer-related accelerated ageing and biobehavioural modifiers: a framework for research and clinical care

A growing body of evidence indicates that patients with cancer who receive cytotoxic treatments (such as chemotherapy or radiotherapy) have an increased risk of accelerated physical and cognitive ageing. Furthermore, accelerated biological ageing is a suspected driving force behind many of these observed effects. In this Review, we describe the mechanisms of biological ageing and how they apply to patients with cancer. We highlight the important role of specific behavioural factors, namely stress, sleep and lifestyle-related factors such as physical activity, weight management, diet and substance use, in the accelerated ageing of patients with cancer and cancer survivors. We also present a framework of how modifiable behaviours could operate to either increase the risk of accelerated ageing, provide protection, or promote resilience at both the biological level and in terms of patient-reported outcomes.

A Smartphone Remote Monitoring App to Follow Up Colorectal Cancer Survivors: Requirement Analysis

BACKGROUND

Colorectal cancer survivors face multiple challenges after discharge. eHealth may potentially support them by providing tools such as smartphone apps. They have lots of capabilities to exchange information and could be used for remote monitoring of these patients.

OBJECTIVE

In this study, we addressed the required features for apps designed to follow up colorectal cancer patients based on survivors' and clinical experts' views.

METHODS

A mixed methods study was conducted. Features of related apps were extracted through the literature; the features were categorized, and then, they were modified. A questionnaire was designed containing the features listed and prioritized based on the MoSCoW (Must have, Should have, Could have, Won't have) technique and an open question for each category. The link to the questionnaire was shared among clinical experts in Iran. The answers were analyzed using the content validity ratio (CVR), and based on the value of this measure, the minimum feature set of a monitoring app to follow up patients with colorectal cancer was addressed. In addition, a telephone interview with colorectal cancer survivors was conducted to collect their viewpoints regarding a remote monitoring system for colorectal cancer cases.

RESULTS

The questionnaire contained 10 sections evaluating 9 categories of features. The questionnaire was completed by 18 experts. The minimum set of features in the app was identified as patient information registration, sign and symptom monitoring, education, reminders, and patient evaluation (0.42 < CVR < 0.85). Features including physical activity, personalized advice, and social network did not achieve the minimum score (-0.11 < CVR < 0.39). We interviewed 9 colorectal cancer survivors. Information registration, sign and symptom monitoring, education, and personalized advice were the features with high priority from the survivors' perspectives. Scheduling, shopping, and financial support features were emphasized by survivors in the interview.

CONCLUSIONS

The requirement set could be used to design an app for the targeted population or patients affected by other cancers. As the views from both survivors and clinical experts were considered in this study, the remote system may more adequately fulfill the need for follow-up of survivors. This eases the patients' and health care providers' communication and interaction.

Physical Activity Interventions for Colorectal Cancer Survivors: A Systematic Review and Meta-analysis of Randomized Controlled Trials

Background

Physical activity (PA) has been shown to improve total mortality and colorectal-specific mortality risk; however, colorectal cancer (CRC) survivors have lower rates of PA compared with survivors with other types of cancers.

Objective

To examine the effect of PA interventions on CRC survivors.

Methods

A systematic review and meta-analysis were conducted to identify randomized controlled trials that met the inclusion criteria, which included an intervention designed to increase PA and more than 1 outcome of interest. Random effects of the meta-analyses were performed using Review Manager 5.3.

Results

Eight publications representing 7 randomized controlled trials of 803 participants were identified. All studies used a combination of behavioral change methods. Physical activity interventions significantly improved disease-specific quality of life, PA level, and maximum amount of oxygen and did not show significant improvements for fatigue and body mass index among CRC survivors.

Conclusions

We provided evidence that PA interventions were effective in improving disease-specific quality of life, PA level, and maximum amount of oxygen; however, they did not improve fatigue and body mass index. Further randomized controlled trials are needed to determine the optimal mode of delivering PA intervention for CRC survivors.

Implications for Practice

As the survival rate of patients with CRC increases, survivors of CRC need to increase PA in a community setting after completing primary treatments. Effective and efficient modes of PA intervention delivery could improve health-related outcomes and address specific barriers for CRC survivors.

Current Evidence and Directions for Future Research in eHealth Physical Activity Interventions for Adults Affected by Cancer: Systematic Review

Background

Physical activity (PA) interventions can increase PA and improve well-being among adults affected by cancer; however, most adults do not meet cancer-specific PA recommendations. Lack of time, facility access, and travel distances are barriers to participation in PA interventions. eHealth technologies may address some of these barriers, serving as a viable way to promote PA behavior change in this population. However, no review from July 2018 has synthesized available evidence across eHealth and cancer types or examined the use of behavioral theory and behavior change techniques (BCTs), leaving important gaps in knowledge.

Objective

This review aims to provide a comprehensive, updated overview of evidence on eHealth PA interventions for adults with cancer by describing the current state of the literature, exploring associations between intervention characteristics and effectiveness, and identifying future research needs.

Methods

MEDLINE, Embase, CINAHL, SportDiscus, Scopus, and CENTRAL were searched for eHealth PA interventions for adults affected by cancer. Study selection and data extraction were performed in duplicate, with consultation from the senior author (NCR). BCT coding, risk of bias, and completeness of reporting were performed using standardized tools. Results were summarized via narrative synthesis and harvest plots. Weight analyses were conducted to explore the associations between intervention characteristics and effectiveness.

Results

A total of 71 articles (67 studies) involving 6655 participants (mean age 56.7 years, SD 8.2) were included. Nearly 50% (32/67) of the articles were published after July 2018. Significant postintervention PA increases were noted in 52% (35/67) of the studies, and PA maintenance was noted in 41% (5/12) of the studies that included a follow-up. Study duration, primary objectives, and eHealth modality (eg, websites, activity trackers, and SMS text messaging) varied widely. Social cognitive theory (23/67, 34%) was the most used theory. The mean number of BCTs used across the studies was 13.5 (SD 5.5), with self-monitoring, credible sources, and goal setting being used in >90% of studies. Weight analyses showed the greatest associations between increased PA levels and PA as a primary outcome (0.621), interventions using websites (0.656) or mobile apps (0.563), interventions integrating multiple behavioral theories (0.750), and interventions using BCTs of problem solving (0.657) and action planning (0.645). All studies had concerns with high risk of bias, mostly because of the risk of confounding, measurement bias, and incomplete reporting.

Conclusions

A range of eHealth PA interventions may increase PA levels among adults affected by cancer, and specific components (eg, websites, use of theory, and action planning) may be linked to greater effectiveness. However, more work is needed to ascertain and optimize effectiveness, measure long-term effects, and address concerns with bias and incomplete reporting. This evidence is required to support arguments for integrating eHealth within PA promotion in oncology.

"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.

A systematic review and meta-analysis of physical activity interventions among colorectal cancer survivors

With the growing number of colorectal cancer survivors (CRCS), theory-based, high-quality physical activity (PA) interventions are needed to promote quality and quantity of life. This systematic review and meta-analysis synthesized theory-based PA interventions among CRCS. Using PubMed, PsyINFO, CINAHL, MEDLINE, SportDiscus, and Cochrane databases, studies including CRCS participants, a PA outcome, a behavioral theory/model or behavior change techniques (BCTs), and randomized research design were identified. Two reviewers coded BCT, intervention reproducibility (Template for Intervention Description and Replication-TIDier), risk of bias, and quality of evidence. From an initial screen of 1,328 articles, 10 RCTs met our inclusion criteria. The Transtheoretical Model (n = 3), Social Cognitive Theory (n = 3), and Theory of Planned Behavior (n = 2) were the most used theories. "Goal setting (behavior)" (n = 10), "goal setting (outcome)" (n = 10), "action planning" (n = 9), and "problem solving" (n = 9) were the most commonly used BCTs. Intervention modalities were primarily print material based (n = 4) and telephone counseling (n = 4). Findings demonstrated that theory-based PA interventions are successful at increasing PA among CRCS as meta-analysis evidenced a small effect size of 0.26. TDier items 3, 9, and 12 hindered intervention replicability. Lack of blinding and bias in the measurement of outcomes by assessors resulted in serious bias. In-depth theoretical applications are needed for PA interventions that minimize bias and improve outcomes measurement. Intervention adherence and fidelity, as well as theoretical construct measurement pre- and post-intervention, will enhance the behavioral research enterprise. PROSPERO registration: CRD42019142816.

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.

The wearable activity technology and action-planning trial in cancer survivors: Physical activity maintenance post-intervention

OBJECTIVES

The study objective was to assess whether moderate-to-vigorous intensity physical activity (MVPA) change in cancer survivors (n = 68, mean age = 64 years) was maintained 12-weeks following the Wearable Activity Technology and Action Planning (WATAAP) intervention. Secondary aims were to assess the effects of the intervention on blood pressure (BP) and body mass index (BMI), and to explore group differences between baseline and 24-weeks.

DESIGN

Randomized controlled trial.

METHODS

MVPA and sedentary behaviour were assessed using an accelerometer at baseline, the end of the intervention (12-weeks), and at 24-weeks. Generalised linear mixed models with random effects were used to examine between-group and within-group changes in MVPA, sedentary behaviour, BP and BMI.

RESULTS

MVPA was significantly higher in the intervention group compared with the control group at 24-weeks following adjustment for known confounders (141.4 min/wk. (95% CI = 9.1 to 273.8), p = 0.036). At 24-weeks participants in the intervention group had maintained their increased levels of MVPA (change from 12-weeks = 8.8 min/wk.; 95% CI = -43 to 61; p = 0.74). The reduction in MVPA in the control group over the first 12-weeks was also maintained at 24-weeks (5.4 min/wk.; 95% CI = -3.6 to 4.6; p = 0.80). Secondary outcomes did not differ between groups at 24-weeks.

CONCLUSIONS

Our results suggest distance-based interventions using wearable technology produce increases in MVPA that endure at least 12-weeks after the intervention is completed.

Impact of non-pharmacological interventions on quality of life, anxiety, and depression scores in patients with colorectal cancer: a systematic review and meta-analysis of randomized controlled trials

PURPOSE

Different non-pharmacological interventions have been considered and applied to patients with colorectal cancer to improve their quality of life and distress symptoms; however, there is little evidence comparing the effectiveness of these strategies. This review aimed at assessing the effect of non-pharmacological interventions on quality of life, anxiety, and depression scores among patients with colorectal cancer.

METHODS

A systematic search for articles published until August 1, 2020, in the English language was performed in Medline, EMBASE, Web of Science, and the Cochrane Library; the reference lists of eligible articles were scanned for other potentially eligible publications. A meta-analysis was performed using random-effects models to estimate pooled effect sizes.

RESULTS

Twenty studies were included, representing a total of 3438 patients with colorectal cancer. Non-pharmacological interventions were associated with a significant reduction in anxiety (standardized mean difference [SMD] = - 0.157; 95% confidence interval [CI], - 0.312-[- 0.002]) and depression (SMD = - 0.207; 95% CI, - 0.390-[- 0.024]) scores during 5-8 months of follow-up. Subgroup analyses revealed that interventions delivered face-to-face improved patients' quality of life during 1-4 months of follow-up. Moreover, interventions delivered face-to-face but without a behavioral component were associated with improved anxiety scores, whereas interventions with a behavioral component improved the depression scores during 5-8 months of follow-up.

CONCLUSIONS

Non-pharmacological interventions were associated with reduced anxiety and depression scores, whereas interventions delivered face-to-face were associated with improved quality of life scores in patients with colorectal cancer. Given the few studies and patients included in this meta-analysis, these conclusions should be interpreted with caution.

A literature review of post-treatment survivorship interventions for colorectal cancer survivors and/or their caregivers

OBJECTIVE

Colorectal cancer (CRC) survivors have reported a number of concerns and unmet needs after treatment completion. This paper aims to explore existing survivorship interventions after CRC treatment according to the American Cancer Society CRC Survivorship Care Guidelines, to identify study gaps, and provide valuable evidence directing future research.

METHODS

Five electronic databases, including CINAHL, PsycINFO, Embase, PubMed, and Cochrane Library databases from 2005 to October 2020, were systematically searched to identify English or Chinese literature on CRC post-treatment survivorship interventions. Manual searching through the articles' references lists was also conducted.

RESULTS

Thirty studies met the criteria, and focused on addressing issues in four CRC Survivorship Care Guidelines domains. Several issues for CRC surveillance programmes remain to be explored. Regarding the long-term physical and psychosocial effects of CRC treatment, we found mounting evidence for various interventions to solve ostomy issues and improve distress/depression/anxiety, strong evidence for exercise to improve fatigue, and limited evidence in addressing CRC patient sexual concerns. For health promotion, high-quality evidence was found for exercises to improve cardiopulmonary fitness, metabolism, tumour-related biomarkers, and short-term improvement in physical fitness and QOL. Emerging evidence was found for a survivorship care plan to improve patient perceptions of care coordination.

CONCLUSIONS

Further refinements based on the existing evidence, and the development of comprehensive CRC survivorship care comprising multiple essential survivorship components, are required. Furthermore, considering both survivor and caregiver cancer survivorship needs, future research may optimise the care delivered, and help survivors and their families live better with cancer.

Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review

BACKGROUND

Digital technologies (such as smartphone applications, activity trackers, and e-learning platforms) have supported patients with long-term conditions to change their lifestyle health behaviours. The aim of this study was to examine the effectiveness of digital technologies in supporting patients undergoing elective surgery to change their health behaviours.

METHODS

A systematic review was conducted of articles reporting a digital intervention supporting behaviour change in adult patients who underwent elective bariatric, oncological or orthopaedic surgery. MEDLINE, Embase, CINAHL, PsycINFO, Web of Science, and Scopus were searched from inception to March 2019 for quantitative intervention studies with a specific focus on physical activity, dietary intake, and weight loss in patients before and after surgery (PROSPERO: CRD42019127972). The Joanna Briggs Institute critical appraisal checklist was used to assess study quality.

RESULTS

Of 3021 citations screened, 17 studies were included comprising 4923 surgical patients; these included experimental (pre-post design, feasibility studies, and RCTs) and observational studies. Three factors were identified as effective for supporting health behaviour change in elective surgical populations: digital technology delivery, implementation, and theoretical underpinning. Six of eight studies that referred to behaviour change theories observed significant improvements in health behaviour relating to reduced weight regain, and improved lifestyle choices for physical activity and diet. Meta-analysis was not possible because of heterogeneous outcome measures.

CONCLUSION

Digital technologies may effectively support behavioural change in patients undergoing elective surgery.

eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study

Background

eHealth technologies have been found to facilitate health-promoting practices among cancer survivors with BMI in overweight or obese categories; however, little is known about their engagement with eHealth to promote weight management and facilitate patient-clinician communication.

Objective

The objective of this study was to determine whether eHealth use was associated with sociodemographic characteristics, as well as medical history and experiences (ie, patient-related factors) among cancer survivors with BMI in overweight or obese categories.

Methods

Data were analyzed from a nationally representative cross-sectional survey (National Cancer Institute’s Health Information National Trends Survey). Latent class analysis was used to derive distinct classes among cancer survivors based on sociodemographic characteristics, medical attributes, and medical experiences. Logistic regression was used to examine whether class membership was associated with different eHealth practices.

Results

Three distinct classes of cancer survivors with BMI in overweight or obese categories emerged: younger with no comorbidities, younger with comorbidities, and older with comorbidities. Compared to the other classes, the younger with comorbidities class had the highest probability of identifying as female (73%) and Hispanic (46%) and feeling that clinicians did not address their concerns (75%). The older with comorbidities class was 6.5 times more likely than the younger with comorbidities class to share eHealth data with a clinician (odds ratio [OR] 6.53, 95% CI 1.08-39.43). In contrast, the younger with no comorbidities class had a higher likelihood of using a computer to look for health information (OR 1.93, 95% CI 1.10-3.38), using an electronic device to track progress toward a health-related goal (OR 2.02, 95% CI 1.08-3.79), and using the internet to watch health-related YouTube videos (OR 2.70, 95% CI 1.52-4.81) than the older with comorbidities class.

Conclusions

Class membership was associated with different patterns of eHealth engagement, indicating the importance of tailored digital strategies for delivering effective care. Future eHealth weight loss interventions should investigate strategies to engage younger cancer survivors with comorbidities and address racial and ethnic disparities in eHealth use.

Gamified Text Messaging Contingent on Device-Measured Steps: Randomized Feasibility Study of a Physical Activity Intervention for Cancer Survivors

BACKGROUND

Physical activity can confer diverse benefits on cancer survivors. Unfortunately, many cancer survivors are not sufficiently active. The efficacy of physical activity interventions for this population may be increased by grounding them in Self-Determination Theory (SDT). Combining game design elements with wearable technologies may be a useful and scalable approach to targeting SDT constructs to promote cancer survivors' physical activity.

OBJECTIVE

The primary aim of this study is to evaluate the feasibility and acceptability of Steps2Health, a physical activity intervention for cancer survivors. It also aims to investigate the effects of the intervention on motivation, physical activity, and step count.

METHODS

We randomized 78 insufficiently active cancer survivors to an experimental or comparison group. All participants received a physical activity tracker. The experimental group participants also received a set sequence of multimedia messaging service messages that were triggered in real time by meeting predetermined cumulative step count totals. Messages presented information about a virtual journey and included photographs and vivid descriptions of locations to increase autonomous motivation. Additional messages targeted perceptions of relatedness (eg, role modeling) and competence (eg, facilitating mastery experiences). We administered pre- and postintervention surveys and conducted 15 individual interviews to evaluate the intervention. We performed directed content analysis of qualitative data and conducted mixed effects linear modeling to investigate participants' changes in motivation, self-reported physical activity, and device-measured step counts.

RESULTS

There was minimal loss to follow-up (3/78, 4%), the device wear rate was high (2548/3044, 83.71% of days), and technical problems with messaging based on real-time step counts were limited. Our qualitative data analysis revealed 3 overarching themes: accessibility, autonomous motivation, and relatedness. Participants successfully navigated the technological aspects and game design elements of the intervention. Participants found messages targeting autonomous motivation and competence or self-efficacy to be enjoyable and compelling, but one feasibility criterion for participant engagement (response rate to text messages) was not met. Messages targeting relatedness were less highly rated than the messages targeting autonomous motivation and competence or self-efficacy. During the intervention, both groups increased their motivation for physical activity (B=0.16; 95% CI 0.01 to 0.30; P=.04; d=0.49), and assignment to the experimental group was associated with increased self-reported leisure activity score (B=10.78; 95% CI 3.54 to 18.02; P=.005; d=0.64). The experimental group had greater increases in daily step counts over time (B=322.08; 95% CI 54.01 to 590.15; P=.02; d=0.28).

CONCLUSIONS

This study supports the feasibility of using real-time game design elements to target SDT constructs and increase cancer survivors' physical activity. Overall, our findings support the acceptability of the Steps2Health intervention, but fostering active participant engagement and targeting relatedness may present additional challenges. Steps2Health may help cancer survivors increase their physical activity levels.

Using Mobile Applications to Increase Physical Activity: A Systematic Review

Unhealthy diet and physical inactivity—major risk factors for the main non-communicable diseases—can be addressed by mobile health applications. Using an evidence-based systematic review design, we analysed studies on mobile applications to foster physical activity to determine whether they met the objective of increasing adults’ physical activity. A bibliographic search was conducted in October 2020 using PubMed, Cochrane Library Plus, Biomed Central, Psychology Database, and SpringerLink, retrieving 191 articles. After titles and abstracts were reviewed, 149 articles were excluded, leaving 42 articles for a full-text review, of which 14 met the inclusion criteria. Despite differences in study duration, design, and variables, 13 of the 14 studies reported that applications were effective in increasing physical activity and healthy habits as dietary behaviour. However, further longer-term studies with larger samples are needed to confirm the effectiveness of mobile health applications in increasing physical activity.

Exercise and colorectal cancer: a systematic review and meta-analysis of exercise safety, feasibility and effectiveness

Background

This meta-analysis evaluated the safety, feasibility and effect of exercise among individuals with colorectal cancer.

Methods

A database search (CINAHL, Ebscohost, MEDLINE, Pubmed, ProQuest Health and Medical Complete, ProQuest Nursing, Science Direct) for randomised, controlled, exercise trials involving individuals with colorectal cancer, published before January 1, 2020 was undertaken. Safety (adverse events), feasibility (withdrawal and adherence rates) and effect data (health outcomes including quality of life, QoL) were abstracted. Risk difference (RD) and standardised mean differences (SMD) were calculated to compare safety and effects between exercise and usual care (UC). Subgroup analyses were conducted to assess whether outcomes differed by exercise mode, duration, supervision and treatment. Risk of bias was assessed using the Physiotherapy Evidence Database tool.

Results

For the 19 trials included, there was no difference in adverse event risk between exercise and UC (RD = 0.00; 95% CI:–0.01, 0.01, p = 0.92). Median withdrawal rate was 12% (0–22%) and adherence was 86% (42–91%). Significant effects of exercise compared to UC were observed for QoL, fatigue, aerobic fitness, upper-body strength, depression, sleep and reduced body fat (SMD = 0.21–0.66, p < 0.05). Subgroup analyses suggested larger benefits (p < 0.05) for QoL and fatigue for supervised interventions; for QoL, aerobic fitness and reduced body fat for ≥12-week interventions; and for aerobic fitness when interventions were during chemotherapy.

Conclusion

Although reporting of safety and compliance data was lacking in most trials, findings support that exercise is safe and feasible in colorectal cancer. Further, participation in mixed-mode exercise, including unsupervised exercise, leads to improvements in various health-related outcomes.

Impact of the Method of Delivering Electronic Health Behavior Change Interventions in Survivors of Cancer on Engagement, Health Behaviors, and Health Outcomes: Systematic Review and Meta-Analysis

Background

Increased accessibility to the internet and mobile devices has seen a rapid expansion in electronic health (eHealth) behavior change interventions delivered to patients with cancer and survivors using synchronous, asynchronous, and combined delivery methods. Characterizing effective delivery methods of eHealth interventions is required to enable improved design and implementation of evidence-based health behavior change interventions.

Objective

This study aims to systematically review the literature and synthesize evidence on the success of eHealth behavior change interventions in patients with cancer and survivors delivered by synchronous, asynchronous, or combined methods compared with a control group. Engagement with the intervention, behavior change, and health outcomes, including quality of life, fatigue, depression, and anxiety, were examined.

Methods

A search of Scopus, Ovid MEDLINE, Excerpta Medica dataBASE, Cumulative Index to Nursing and Allied Health Literature Plus, PsycINFO, Cochrane CENTRAL, and PubMed was conducted for studies published between March 2007 and March 2019. We looked for randomized controlled trials (RCTs) examining interventions delivered to adult cancer survivors via eHealth methods with a measure of health behavior change. Random-effects meta-analysis was performed to examine whether the method of eHealth delivery impacted the level of engagement, behavior change, and health outcomes.

Results

A total of 24 RCTs were included predominantly examining dietary and physical activity behavior change interventions. There were 11 studies that used a synchronous approach and 11 studies that used an asynchronous approach, whereas 2 studies used a combined delivery method. Use of eHealth interventions improved exercise behavior (standardized mean difference [SMD] 0.34, 95% CI 0.21-0.48), diet behavior (SMD 0.44, 95% CI 0.18-0.70), fatigue (SMD 0.21, 95% CI −0.08 to 0.50; SMD change 0.22, 95% CI 0.09-0.35), anxiety (SMD 1.21, 95% CI: 0.36-2.07; SMD change 0.15, 95% CI −0.09 to 0.40), depression (SMD 0.15, 95% CI 0.00-0.30), and quality of life (SMD 0.12, 95% CI −0.10 to 0.34; SMD change 0.14, 95% CI 0.04-0.24). The mode of delivery did not influence the amount of dietary and physical activity behavior change observed.

Conclusions

Physical activity and dietary behavior change eHealth interventions delivered to patients with cancer or survivors have a small to moderate impact on behavior change and a small to very small benefit to quality of life, fatigue, depression, and anxiety. There is insufficient evidence to determine whether asynchronous or synchronous delivery modes yield superior results. Three-arm RCTs comparing delivery modes with a control with robust engagement reporting are required to determine the most successful delivery method for promoting behavior change and ultimately favorable health outcomes.

Big Data From Small Devices: The Future of Smartphones in Oncology

Technological advancements in the capabilities of modern smartphones offer tremendous potential to generate big data from small devices that could influence oncologists' decision-making. Here we describe the value of patient-generated health data (PGHD) that can be captured using mobile devices. We comment on the current use of smartphones in oncology clinical research and describe how smartphones will bring big data into the oncology clinic by enabling continuous patient monitoring, information sharing, and personalized clinical decision making in cancer care. Lastly, we describe practical considerations about how we can access and store PGHD in the future, describing how to harness the clinical value of PGHD and comment on the emerging applications for digital biomarkers captured by smartphones.

Physical activity interventions for disease-related physical and mental health during and following treatment in people with non-advanced colorectal cancer

BACKGROUND

Colorectal cancer is the third most commonly diagnosed cancer worldwide. A diagnosis of colorectal cancer and subsequent treatment can adversely affect an individuals physical and mental health. Benefits of physical activity interventions in alleviating treatment side effects have been demonstrated in other cancer populations. Given that regular physical activity can decrease the risk of colorectal cancer, and cardiovascular fitness is a strong predictor of all-cause and cancer mortality risk, physical activity interventions may have a role to play in the colorectal cancer control continuum. Evidence of the efficacy of physical activity interventions in this population remains unclear.

OBJECTIVES

To assess the effectiveness and safety of physical activity interventions on the disease-related physical and mental health of individuals diagnosed with non-advanced colorectal cancer, staged as T1-4 N0-2 M0, treated surgically or with neoadjuvant or adjuvant therapy (i.e. chemotherapy, radiotherapy or chemoradiotherapy), or both.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL; 2019, Issue 6), along with OVID MEDLINE, six other databases and four trial registries with no language or date restrictions. We screened reference lists of relevant publications and handsearched meeting abstracts and conference proceedings of relevant organisations for additional relevant studies. All searches were completed between 6 June and 14 June 2019.

SELECTION CRITERIA

We included randomised control trials (RCTs) and cluster-RCTs comparing physical activity interventions, to usual care or no physical activity intervention in adults with non-advanced colorectal cancer.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies, performed the data extraction, assessed the risk of bias and rated the quality of the studies using GRADE criteria. We pooled data for meta-analyses by length of follow-up, reported as mean differences (MDs) or standardised mean differences (SMDs) using random-effects wherever possible, or the fixed-effect model, where appropriate. If a meta-analysis was not possible, we synthesised studies narratively.

MAIN RESULTS

We identified 16 RCTs, involving 992 participants; 524 were allocated to a physical activity intervention group and 468 to a usual care control group. The mean age of participants ranged between 51 and 69 years. Ten studies included participants who had finished active treatment, two studies included participants who were receiving active treatment, two studies included both those receiving and finished active treatment. It was unclear whether participants were receiving or finished treatment in two studies. Type, setting and duration of physical activity intervention varied between trials. Three studies opted for supervised interventions, five for home-based self-directed interventions and seven studies opted for a combination of supervised and self-directed programmes. One study did not report the intervention setting. The most common intervention duration was 12 weeks (7 studies). Type of physical activity included walking, cycling, resistance exercise, yoga and core stabilisation exercise. Most of the uncertainty in judging study bias came from a lack of clarity around allocation concealment and blinding of outcome assessors. Blinding of participants and personnel was not possible. The quality of the evidence ranged from very low to moderate overall. We did not pool physical function results at immediate-term follow-up due to considerable variation in results and inconsistency of direction of effect. We are uncertain whether physical activity interventions improve physical function compared with usual care. We found no evidence of effect of physical activity interventions compared to usual care on disease-related mental health (anxiety: SMD -0.11, 95% confidence interval (CI) -0.40 to 0.18; 4 studies, 198 participants; I2 = 0%; and depression: SMD -0.21, 95% CI -0.50 to 0.08; 4 studies, 198 participants; I2 = 0%; moderate-quality evidence) at short- or medium-term follow-up. Seven studies reported on adverse events. We did not pool adverse events due to inconsistency in reporting and measurement. We found no evidence of serious adverse events in the intervention or usual care groups. Minor adverse events, such as neck, back and muscle pain were most commonly reported. No studies reported on overall survival or recurrence-free survival and no studies assessed outcomes at long-term follow-up We found evidence of positive effects of physical activity interventions on the aerobic fitness component of physical fitness (SMD 0.82, 95% CI 0.34 to 1.29; 7 studies, 295; I2 = 68%; low-quality evidence), cancer-related fatigue (MD 2.16, 95% CI 0.18 to 4.15; 6 studies, 230 participants; I2 = 18%; low-quality evidence) and health-related quality of life (SMD 0.36, 95% CI 0.10 to 0.62; 6 studies, 230 participants; I2 = 0%; moderate-quality evidence) at immediate-term follow-up. These positive effects were also observed at short-term follow-up but not medium-term follow-up. Only three studies reported medium-term follow-up for cancer-related fatigue and health-related quality of life.

AUTHORS' CONCLUSIONS

The findings of this review should be interpreted with caution due to the low number of studies included and the quality of the evidence. We are uncertain whether physical activity interventions improve physical function. Physical activity interventions may have no effect on disease-related mental health. Physical activity interventions may be beneficial for aerobic fitness, cancer-related fatigue and health-related quality of life up to six months follow-up. Where reported, adverse events were generally minor. Adequately powered RCTs of high methodological quality with longer-term follow-up are required to assess the effect of physical activity interventions on the disease-related physical and mental health and on survival of people with non-advanced colorectal cancer. Adverse events should be adequately reported.

The value of teachable moments in surgical patient care and the supportive role of digital technologies

Evidence strongly supports improved outcomes following surgery when patients are more physically active, have better dietary intake, or are generally fitter prior to surgery. Having an operation is a major life event for patients, and many are not educated around what they can do as individuals to aid a speedier and more successful recovery following their operation. What if there was a time point before surgery where clinicians could inspire patients to adjust their lifestyles for the better, in order to see fewer complications after surgery? This is where the concept of teachable moments comes into play.

This commentary explores the concept of teachable moments and their value in surgical patient care and discusses the potentially under-utilized opportunities on hand to the surgical multidisciplinary team to remotely support patients using digital health technologies.

The role of social support in physical activity for cancer survivors: A systematic review

OBJECTIVE

Social support is conceptualized and operationalized in many ways, making it challenging to understand what types of support best predict physical activity (PA) in cancer survivors. This review examined associations between social support and PA among cancer survivors.

METHODS

Following PRISMA guidelines, we searched eight databases for studies that reported an association between social support and PA among adult cancer survivors. We conducted an appraisal and a narrative synthesis of the findings from quantitative studies.

RESULTS

Fifty studies representing 28 366 participants were included. Studies collectively included concepts addressing the presence of relationships, others' PA behavior, perceptions of being supported, and function/quality. Findings were mixed in suggesting a positive or null association with PA.

CONCLUSIONS

While results are not definitive, this review takes a step toward mapping the social support literature in PA for cancer survivors. Limitations include the homogeneity of the participants in extant studies, and the secondary focus on testing the effects of social support on outcomes. Future research systematically testing the effects of social support is important for facilitating PA in this population.

Systematic review and meta-analysis of maintenance of physical activity behaviour change in cancer survivors

Background

Physical activity can improve health and wellbeing after cancer and may reduce cancer recurrence and mortality. To achieve such long-term benefits cancer survivors must be habitually active. This review evaluates the effectiveness of interventions in supporting maintenance of physical activity behaviour change among adults diagnosed with cancer and explores which intervention components and contextual features are associated with effectiveness.

Methods

Relevant randomised controlled trials (RCTs) were identified by a search of Ovid Medline, Ovid Embase and PsychINFO. Trials including adults diagnosed with cancer, assessed an intervention targeting physical activity and reported physical activity behaviour at baseline and ≥ 3 months post-intervention were included. The behaviour change technique (BCT) taxonomy was used to identify intervention components and the Template for Intervention Description and Replication to capture contextual features. Random effect meta-analysis explored between and within group differences in physical activity behaviour. Standardised mean differences (SMD) describe effect size.

Results

Twenty seven RCTs were included, 19 were pooled in meta-analyses. Interventions were effective at changing long-term behaviour; SMD in moderate to vigorous physical activity (MVPA) between groups 0.25; 95% CI = 0.16–0.35. Within-group pre-post intervention analysis yielded a mean increase of 27.48 (95% CI = 11.48-43.49) mins/wk. of MVPA in control groups and 65.30 (95% CI = 45.59–85.01) mins/wk. of MVPA in intervention groups. Ineffective interventions tended to include older populations with existing physical limitations, had fewer contacts with participants, were less likely to include a supervised element or the BCTs of ‘action planning’, ‘graded tasks’ and ‘social support (unspecified)’. Included studies were biased towards inclusion of younger, female, well-educated and white populations who were already engaging in some physical activity.

Conclusions

Existing interventions are effective in achieving modest increases in physical activity at least 3 months post-intervention completion. Small improvements were also evident in control groups suggesting low-intensity interventions may be sufficient in promoting small changes in behaviour that last beyond intervention completion. However, study samples are not representative of typical cancer populations. Interventions should consider a stepped-care approach, providing more intensive support for older people with physical limitations and others less likely to engage in these interventions.

Electronic supplementary material

The online version of this article (10.1186/s12966-019-0787-4) contains supplementary material, which is available to authorized users.

Technology-Supported Self-Guided Nutrition and Physical Activity Interventions for Adults With Cancer: Systematic Review

Background

Nutrition and physical activity interventions are important components of cancer care. With an increasing demand for services, there is a need to consider flexible, easily accessible, and tailored models of care while maintaining optimal outcomes.

Objective

This systematic review describes and appraises the efficacy of technology-supported self-guided nutrition and physical activity interventions for people with cancer.

Methods

A systematic search of multiple databases from 1973 to July 2018 was conducted for randomized and nonrandomized trials investigating technology-supported self-guided nutrition and physical activity interventions. Risk of bias was assessed using the Cochrane Risk of Bias tool. Outcomes included behavioural, health-related, clinical, health service, or financial measures.

Results

Sixteen randomized controlled trials representing 2684 participants were included. Most studies were web-based interventions (n=9) and had a 12-week follow-up duration (n=8). Seven studies assessed dietary behaviour, of which two reported a significant benefit on diet quality or fruit and vegetable intake. Fifteen studies measured physical activity behaviour, of which eight studies reported a significant improvement in muscle strength and moderate-to-vigorous physical activity. Four of the nine studies assessing the health-related quality of life (HRQoL) reported a significant improvement in global HRQoL or a domain subscale. A significant improvement in fatigue was found in four of six studies. Interpretation of findings was influenced by inadequate reporting of intervention description and compliance.

Conclusions

This review identified short-term benefits of technology-supported self-guided interventions on the physical activity level and fatigue and some benefit on dietary behaviour and HRQoL in people with cancer. However, current literature demonstrates a lack of evidence for long-term benefit.

Trial Registration

PROSPERO CRD42017080346; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80346

The effectiveness of mHealth for self-management in improving pain, psychological distress, fatigue, and sleep in cancer survivors: a systematic review

PURPOSE

Integrating mHealth into the cancer care continuum may be an effective strategy to improve cancer survivorship care by supporting self-management. We aim to assess the effectiveness of mHealth applications (apps) for self-management in improving pain, psychological distress, fatigue, or sleep outcomes in adult cancer survivors.

METHODS

Experimental quantitative studies evaluating apps aiming to support self-management for adult cancer survivors and reporting pain, psychological distress, fatigue, or sleep outcomes were included. PubMed, Web of Science, Embase, CINAHL, PsycINFO, Scopus, and CENTRAL databases were searched from inception through December 2017. Risk of bias was assessed using the Cochrane risk of bias tool (PROSPERO registration number CRD42017081182).

RESULTS

Seven studies of six mHealth interventions (n = 949 participants) were included. Two randomized controlled trials (RCTs), one quasi-RCT, one non-RCT, and three single-arm studies involved survivors with a mix of cancer types. The most common app features were symptom questionnaires (n = 5) and progress tracking (n = 5). Four studies reported outcomes for pain, with three showing improvements. Two studies reported psychological distress outcomes, showing mixed results. Four studies reported improvements in fatigue post-intervention or in the intervention compared with control group, but the changes were not all statistically significant. Two studies reported improvements in sleep outcomes.

CONCLUSIONS

There is emerging evidence that mHealth interventions that support self-management can improve pain and fatigue outcomes in cancer survivors, and some promise for psychological distress and sleep outcomes. Further development and investigation of mHealth is needed, incorporating targeted, evidence-based models of care into app design.

IMPLICATIONS FOR CANCER SURVIVORS

mHealth interventions can improve outcomes for cancer survivors and have significant potential to benefit this growing population due to their reach.

Systematic review and meta-analysis of distance-based physical activity interventions for cancer survivors (2013-2018): We still haven't found what we're looking for

BACKGROUND

Physically active cancer survivors have a reduced risk of cancer recurrence and mortality. Given the health advantages of active lifestyles in cancer survivorship, as well as the barriers preventing physical activity (e.g., geography, time) there is a need to develop and evaluate effective physical activity interventions that employ distance-based (i.e., non face-to-face) approaches. The primary objective of this study was to provide a systematic review and meta-analysis of present-day (2013-2018) distance-based physical activity behaviour change interventions for cancer survivors.

METHODS

PubMed and Embase databases were searched from November 2012 up to June 2018. Studies were included that met the following criteria: (1) written in English, (2) included adult cancer survivors (either undergoing or completed treatment), (3) was a controlled intervention study, and (4) the intervention was distance-based (delivered via distance) with no more than one face-to-face contact. Review Manager 5 (RevMan 5) software was used to perform a meta-analysis on all randomized controlled trials (RCTs) that presented self-reported or objectively measured physical activity post-intervention means and standard deviations. Risk of bias for each study was assessed using The Cochrane Risk of Bias Tool.

RESULTS

We included 29 RCTs. Across the 29 studies, the total number of participants in these studies was 5218. Median sample size was 95 and ranged from 19 to 463. Thirteen (45%) studies focused on breast cancer survivors and median months since diagnosis was 24 (range 6-79). Moderate-to-vigorous intensity physical activity data from 24 RCTs were included in the meta-analysis and indicated an overall small effect (standardized mean difference) of 0.21 (95% CI 0.11-0.32) favoring the interventions.

CONCLUSIONS

Intervention effects on physical activity were small. Drawing conclusions from these trials remains challenging given major limitations of these trials included poor methodological design, small sample sizes, lack of statistical power, homogeneous samples (e.g., caucasian, young, well-educated), and poor measures of physical activity (e.g., self-report). Relying on the present landscape of distance-based programs aiming to facilitate physical activity among cancer survivors may not be prudent.