Short-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: a randomized controlled trial

Theory-based physical activity and/or nutrition behavior change interventions for cancer survivors: a systematic review

PURPOSE

Theory-based interventions aimed at promoting health behavior change in cancer survivors seem to be effective but remain scarce. More information on intervention features is also needed. This review aimed to synthesize the evidence from randomized controlled trials evaluating the efficacy of theory-based interventions (and its features) on physical activity (PA) and/or diet behaviors in cancer survivors.

METHODS

A systematic search in three databases (PubMed, PsycInfo, and Web of Science) identified studies that (i) targeted adult cancer survivors and (ii) included theory-based randomized controlled trials designed to influence PA, diet, or weight management. A qualitative synthesis of interventions' effectiveness, extensiveness of theory use, and applied intervention techniques was conducted.

RESULTS

Twenty-six studies were included. Socio-Cognitive Theory was the most used theory, showing promising results in PA-only trials and mixed findings in multiple-behavior interventions. Mixed findings were observed for interventions based on the Theory of Planned Behavior and Transtheoretical Model. Limited findings were found in diet-only interventions. A large variability in the extensiveness of theory use, and in intervention techniques was found. Further research is required to understand how and why these interventions offer promise for improving behavior.

CONCLUSIONS

Theory-based interventions seem to improve PA and diet behaviors in cancer survivors. Further studies, including thorough intervention descriptions, are needed to confirm these findings and identify the optimal features and content of lifestyle theory-based interventions for cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

This systematic review can contribute to the development of more effective interventions to promote long-term adherence to healthy lifestyle behaviors.

A systematic review on eHealth technology personalization approaches

Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the type of variables used for user segmentation and the adaptations to the eHealth technology and examining the role of computational methods in the literature. From the 412 included reports, we identified 13 clusters of personalization approaches, such as behavior + channeling and environment + recommendations. Within these clusters, 10 computational methods were utilized to match segments with technology adaptations, such as classification-based methods and reinforcement learning. Several gaps were identified in the literature, such as the limited exploration of technology-related variables, the limited focus on user interaction reminders, and a frequent reliance on a single type of variable for personalization. Future research should explore leveraging technology-specific features to attain individualistic segmentation approaches.

Applications of wearable activity monitors for prostate cancer survivors: A systematic scoping review

BACKGROUND

Wearable technology is used to monitor and motivate physical activity (PA) and provides continuous, objective PA and sleep data outside the clinical setting. We reviewed the literature to understand how wearables are integrated into prostate cancer (PC) investigations in order to identify current practices, gaps, and research opportunities.

METHODS

We conducted a literature search for articles using wearables, among PC survivors published between 2012 and 2022. We extracted study details, interventions and outcomes, participant baseline characteristics, and device characteristics and grouped them by study type: randomized control trials (RCTs) and non-randomized studies.

RESULTS

Of 354 articles screened, 44 met eligibility criteria (23 RCTs, and 21 non-randomized). 89% used wearables to monitor PA metrics, 11%, sleep metrics, and 6.8%, both. Most studies involved exercise (70% RCTs, 9% non-randomized studies) or lifestyle interventions (30% RCTs, 9% non-randomized studies). Intervention delivery methods included personalized computer-based (48%), in-person (e.g., trainer) (20%), and education web or print-based (20%). Interventions occurred at the participant's home (48%) or at a gym (20%). 57% of the studies evaluated the feasibility and acceptability of the wearable as an activity-measuring device or as part of a remotely delivered computer-based intervention. Studies used wearables to monitor adherence to PA interventions, motivate behavior change, to assess patient outcomes (e.g., patient function, quality of life, mood), or as data collection tools.

CONCLUSIONS

Wearables are primarily being used to assess daily activity and monitor adherence to exercise interventions in clinical studies involving PC survivors. Findings suggest that they are feasible for use in this population. More research is needed to understand how to integrate wearables into routine clinical care, expand their use to predict clinical outcomes, or to deliver tailored interventions for PC survivors.

A pilot randomized controlled trial of an online intervention for Hodgkin lymphoma survivors to increase knowledge about late effects and recommended screening

BACKGROUND

Hodgkin lymphoma (HL) survivors who received chest radiotherapy are at risk for breast cancer and cardiovascular disease, but screening adherence is low. We assessed the acceptability/feasibility of a web-based educational intervention and its impact on knowledge of health risks and screening.

METHODS

HL survivors were randomized to either an interactive online educational intervention or handouts only. Surveys were completed at baseline and 3 months post-intervention. We described the acceptability/feasibility of the intervention and compared knowledge between groups.

RESULTS

Fifty-two HL survivors participated; 27 in the intervention group and 25 in the control group. Eighteen (66%) intervention participants completed the intervention and reported high acceptability (89-100%). At baseline, adherence to breast cancer screening was low across all participants. Post-intervention, those in the intervention group more often than controls correctly identified breast cancer and echocardiogram screening guidelines (35% vs. 28%, P = 0.02 and 82% vs. 52%, P = 0.04) and reported knowing how to address potential complications from cancer treatments (87% vs. 64%, P = 0.03). We detected no increase in screening behavior post-intervention.

CONCLUSION

Online education modules for high-risk HL survivors are an acceptable method to improve knowledge of health risks and screening guidelines. Future interventions should focus on improving screening uptake in this population.

IMPLICATIONS FOR CANCER SURVIVORS

Web-based learning can be useful in increasing cancer survivor knowledge of their unique risks and screening recommendations but does not necessarily change patient behavior. Involvement in a cancer survivorship program can help assess individual barriers and monitor uptake of screening.

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.

The effectiveness of E-health interventions promoting physical activity in cancer survivors: a systematic review and meta-analysis of randomized controlled trials

PURPOSE

This systematic review and meta-analysis aimed to identify whether E-health interventions effectively improve physical activity (PA) in cancer survivors.

METHODS

PubMed, Web of Science, and Cochrane Library databases were searched from inception to October 21, 2023. Randomized controlled trials reporting the effect of E-health interventions on PA among cancer survivors were included. Random-effect models were used to calculate standardized mean differences (SMD) and the 95% confidence interval (CI).

RESULTS

In total, 15 trials with 2,291 cancer survivors were included in this meta-analysis. The results showed that E-health interventions improved moderate to vigorous physical activity (MVPA) among cancer survivors (SMD = 0.26, 95% CI 0.08, 0.43, N = 8, p < 0.001, I2 = 37%), as well as moderate physical activity (MPA) (SMD = 0.22, 95% CI 0.05, 0.38, N = 9, p < 0.001, I2 = 28%) and vigorous physical activity (VPA) (SMD = 0.34, 95% CI 0.15, 0.54, N = 6, p < 0.001, I2 = 11%).

CONCLUSION

E-health interventions are effective at promoting PA among cancer survivors. As current research primarily focuses on immediate post-intervention measurements with limited follow-up data, further investigation is required to explore the long-term effects of E-health interventions on PA.

A meta-analysis of healthy lifestyle interventions addressing quality of life of cancer survivors in the post treatment phase

PURPOSE

This study's primary aim was to investigate whether including a mental health component to healthy lifestyle interventions are associated with greater effects on quality of life (QoL) for post-treatment cancer survivors than addressing physical activity and/or nutrition alone.

METHODS

PsycINFO, Scopus, Medline, CINAHL, and Google Scholar were searched to identify randomised control trials of healthy lifestyle interventions for post-treatment cancer survivors, with a usual care or waitlist control, and measured QoL. Meta-analyses quantified the effects of interventions vs controls at post-treatment on total QoL, physical, emotional, and social well-being. Subgroup analyses compared interventions with vs without a mental health component, modes of delivery, and duration. The quality of the included studies was assessed using the Cochrane Risk of Bias 2.

RESULTS

Eighty-eight papers evaluating 110 interventions were included: 66 effect sizes were extracted for meta-analysis, and 22 papers were narratively synthesised. The pooled effect size demonstrated a small, significant effect of healthy lifestyle interventions in comparison to control for all QoL outcomes (total g = 0.32, p >.001; physical g = 0.19, p = 0.05; emotional g = 0.20, p >.001; social g = 0.18, p = 0.01). There was no significant difference between interventions with vs without a mental health component. Face-to-face delivered interventions were associated with greater total QoL and physical well-being compared to other modalities. Interventions delivered ≤12 weeks were associated with greater physical well-being than those delivered ≥13 weeks. Overall, studies had substantial levels of heterogeneity and 55.9% demonstrated high risk of bias.

CONCLUSIONS

Participating in a healthy lifestyle intervention following cancer treatment improves QoL. Few trials addressed mental health or evaluated online or telephone modalities; future research should develop and evaluate interventions that utilise these features.

IMPLICATIONS FOR CANCER SURVIVORS

Brief healthy lifestyle interventions can be recommended for cancer survivors, particularly those interested in improving physical well-being.

Alexa, let's train now! - A systematic review and classification approach to digital and home-based physical training interventions aiming to support healthy cognitive aging

BACKGROUND

There is mounting evidence that regular physical activity is an important prerequisite for healthy cognitive aging. Consequently, the finding that almost one-third of the adult population does not reach the recommended level of regular physical activity calls for further public health actions. In this context, digital and home-based physical training interventions might be a promising alternative to center-based intervention programs. Thus, this systematic review aimed to summarize the current state of the literature on the effects of digital and home-based physical training interventions on adult cognitive performance.

METHODS

In this pre-registered systematic review (PROSPERO; ID: CRD42022320031), 5 electronic databases (PubMed, Web of Science, PsycInfo, SPORTDiscus, and Cochrane Library) were searched by 2 independent researchers (FH and PT) to identify eligible studies investigating the effects of digital and home-based physical training interventions on cognitive performance in adults. The systematic literature search yielded 8258 records (extra 17 records from other sources), of which 27 controlled trials were considered relevant. Two reviewers (FH and PT) independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX scale).

RESULTS

Of the 27 reviewed studies, 15 reported positive effects on cognitive and motor-cognitive outcomes (i.e., performance improvements in measures of executive functions, working memory, and choice stepping reaction test), and a considerable heterogeneity concerning study-related, population-related, and intervention-related characteristics was noticed. A more detailed analysis suggests that, in particular, interventions using online classes and technology-based exercise devices (i.e., step-based exergames) can improve cognitive performance in healthy older adults. Approximately one-half of the reviewed studies were rated as having a high risk of bias with respect to completion adherence (≤85%) and monitoring of the level of regular physical activity in the control group.

CONCLUSION

The current state of evidence concerning the effectiveness of digital and home-based physical training interventions is mixed overall, though there is limited evidence that specific types of digital and home-based physical training interventions (e.g., online classes and step-based exergames) can be an effective strategy for improving cognitive performance in older adults. However, due to the limited number of available studies, future high-quality studies are needed to buttress this assumption empirically and to allow for more solid and nuanced conclusions.

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.

Effectiveness of Non-pharmacologic Interventions on Device-measured Physical Activity in Adults With Cancer, and Methodology Used for Assessment: A Systematic Review and Meta-analysis

OBJECTIVE

To investigate the effectiveness of different types of interventions aimed at enhancing device-measured physical activity (PA) and summarize the devices and methodologies used to measure PA in adults with cancer.

DATA SOURCES

A systematic review was prospectively registered on PROSPERO (CRD42020199466). The search was conducted in PubMed, The Cochrane Library, EMBASE (via Ovid), and PEDro from 2005 onward.

STUDY SELECTION

Prospective interventional studies (randomized controlled trials [RCTs], non-randomized controlled trials, and single-group trials), that included adults within 12 months from cancer diagnosis, and device-measured PA before and after commencement of an intervention were included. Studies were excluded if PA was measured at a single time point. Two independent reviewers screened 3033 records and 30 articles met the inclusion criteria.

DATA EXTRACTION

Two reviewers independently extracted the data. PEDro scale and GRADE approach were used to assess methodological quality of RCTs and overall quality of evidence, respectively. A meta-analysis of relevant RCTs was conducted.

DATA SYNTHESIS

Thirty studies were identified, mainly including adults with multiple cancer types. Interventions were behavior change interventions (n=15), exercise training (n=13), neuromuscular electrostimulation (n=1), or a nutritional program (n=1). The meta-analysis showed improvements on moderate-to-vigorous intensity PA (MVPA) in the experimental group (8 studies; standardized mean difference (SMD)=0.23; 95% CI 0.06-0.39); with subgroup analysis showing that findings were mainly driven by behavior change interventions (5 studies; SMD=0.23, 95% CI 0.05-0.41). An uncertain effect on sedentary behavior, daily steps, and light intensity PA was found. PA was measured with medical devices and commercial wearables, quality of the methodology was variable.

CONCLUSIONS

Behavior change interventions increased device-derived MVPA in adult cancer patients who underwent the intervention within 12 months of the cancer diagnosis. Various devices and methodologies were used to assess PA, which limits comparisons across the studies.

Long-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: A randomized controlled trial

BACKGROUND

Physical activity (PA) can improve the physical and psychological health of prostate and colorectal cancer survivors, but PA behavior change maintenance is necessary for long-term health benefits. OncoActive is a print- and web-based intervention in which prostate and colorectal cancer patients and survivors receive automatically generated, personalized feedback aimed at integrating PA into daily life to increase and maintain PA. We evaluated the long-term outcomes of OncoActive by examining the 12-month follow-up differences between OncoActive and a control group, and we explored whether PA was maintained during a 6-month non-intervention follow-up period.

METHODS

Prostate or colorectal cancer patients were randomly assigned to an OncoActive (n = 249) or a usual care waitlist control group (n = 229). OncoActive participants received PA advice and a pedometer. PA outcomes (i.e., ActiGraph and self-report moderate-to-vigorous intensity PA (MVPA) min/week and days with ≥30 min PA) and health-related outcomes (i.e., fatigue, depression, physical functioning) were assessed at baseline, 6 months, and 12 months. Differences between groups and changes over time were assessed with multilevel linear regressions for the primary outcome (ActiGraph MVPA min/week) and all additional outcomes.

RESULTS

At 12 months, OncoActive participants did not perform better than control group participants at ActiGraph MVPA min/week, self-report MVPA min/week, or ActiGraph days with PA. Only self-report days with PA were significantly higher in OncoActive compared to the control group. For health-related outcomes only long-term fatigue was significantly lower in OncoActive. When exploratively examining PA within OncoActive, the previously found PA effects at the end of the intervention (6 months follow-up) were maintained at 12 months. Furthermore, all PA outcomes improved significantly from baseline to 12 months. The control group showed small but non-significant improvements from 6 months to 12 months (and from baseline to 12 months), resulting in a decline of differences between groups.

CONCLUSION

The majority of previously reported significant between-group differences at 6 months follow-up were no longer present at long-term follow-up, possibly because of natural improvement in the control group. At long-term follow-up, fatigue was significantly lower in OncoActive compared to control group participants. Computer-tailored PA advice may give participants an early start toward recovery and potentially contributes to improving long-term health.

Personalization in digital health interventions for older adults with cancer: A scoping review

INTRODUCTION

Digital health interventions (DHIs) are promising to support older adults with cancer in managing their conditions and improving their health outcomes. However, there is a lack of overall understanding of various DHIs for the aging population with cancer. Specifically, it is unclear how personalization components are included in those DHIs to promote engagement in the interventions among older adults with cancer. This study aimed to provide a comprehensive overview of existing DHIs for older adults with cancer and identify the intervention components, especially personalized features, and effectiveness of these DHIs for improving self-management and psychosocial health.

MATERIALS AND METHODS

A scoping review was conducted following Joanna Briggs Institute guidelines, focusing on older adults diagnosed with cancer who participated in DHIs to improve self-management and psychosocial health. Studies using an experimental design and published from 2000 to January 2023 were retrieved from four databases: PubMed, Embase, CINAHL, and Scopus. After primary data extraction of study characteristics, participants, interventions, and outcomes, DHIs were categorized according to personalized features.

RESULTS

Out of 9,750 articles, 20 were eligible for this scoping review. The main personalized features of DHIs were categorized into four domains: goal setting, adjusting the plan, data-driven approaches, and motivating behavioral changes. Self-management outcomes were focused on physical activity, diet, and symptom management. Quality of life, depression, and anxiety were addressed as psychosocial health-related outcomes. Although no consistent results were reported on the effectiveness, DHIs with a combination of multiple personalized features, more than three domains, were likely to be more effective in improving self-management outcomes.

DISCUSSION

This review enhances the understanding of personalized DHIs for older adults with cancer by identifying intervention components, personalized features, and effectiveness on self-management and psychosocial health. Several gaps were identified, including the absence of targeted studies exclusively focusing on older adults, a relative scarcity of personalized features for improving patient engagement, a lack of understanding of the mechanism of effective personalized features, and the necessity for more experimental studies. Addressing these gaps can contribute to improving health outcomes and the quality of care for older adults with cancer by providing the direction for developing effective DHIs.

Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis

BACKGROUND

Regular physical activity (PA) is beneficial for enhancing and sustaining both physical and mental well-being as well as for the management of preexisting conditions. Computer-tailored health communication (CTHC) has been shown to be effective in increasing PA and many other health behavior changes in the general population. However, individuals with or at risk of long-term conditions face unique barriers that may limit the applicability of CTHC interventions to this population. Few studies have focused on this cohort, providing limited evidence for the effectiveness of CTHC in promoting PA.

OBJECTIVE

This systematic review and meta-analysis aims to assess the effectiveness of CTHC in increasing PA in individuals with or at risk of long-term conditions.

METHODS

A systematic review and meta-analysis were conducted to evaluate the effect of CTHC in increasing PA in people with or at risk of long-term conditions. Hedges g was used to calculate the mean effect size. The total effect size was pooled and weighted using inverse variance. When possible, potential moderator variables were synthesized, and their effectiveness was evaluated by subgroups analysis with Q test for between-group heterogeneity Qb. Potential moderator variables included behavior change theories and models providing the fundamental logic for CTHC design, behavior change techniques and tailoring strategies to compose messages, and computer algorithms to achieve tailoring. Several methods were used to examine potential publication bias in the results, including the funnel plot, Egger test, Begg test, fail-safe N test, and trim-and-fill method.

RESULTS

In total, 24 studies were included in the systematic review for qualitative analysis and 18 studies were included in the meta-analysis. Significant small to medium effect size values were found when comparing CTHC to general health information (Hedges g=0.16; P<.001) and to no information sent to participants (Hedges g=0.29; P<.001). Half of the included studies had a low to moderate risk of bias, and the remaining studies had a moderate to high risk of bias. Although the results of the meta-analysis indicated no evidence of publication bias, caution is required when drawing definitive conclusions due to the limited number of studies in each subgroup (N≤10). Message-tailoring strategies, implementation strategies, behavior change theories and models, and behavior change techniques were synthesized from the 24 studies. No strong evidence was found from subgroup analyses on the effectiveness of using particular behavior change theories and models or from using particular message-tailoring and implementation strategies.

CONCLUSIONS

This study demonstrates that CTHC is effective in increasing PA for people with or at risk of long-term conditions, with significant small to medium effects compared with general health information or no information. Further studies are needed to guide design decisions for maximizing the effectiveness of CTHC.

Prostate cancer patients' experiences and preferences for web-based physical activity applications: A qualitative meta-synthesis

BACKGROUND

The incidence of prostate cancer increases with age. Physical activity can improve the prognosis and quality of life of patients. However, studies have observed lower levels of physical activity in men with prostate cancer, and most do not meet physical activity guidelines. Web-based physical activity is a promising form of exercise that will play an important role in prostate cancer patients.

AIMS

To synthesise the experiences and preferences of prostate cancer patients for web-based PA applications, thereby providing a basis for the construction of intervention programs tailored to the needs of patients.

METHODS

We systematically searched PubMed, Web of Science, Cochrane Library, EMBASE, CINAHL and three Chinese databases. This review includes qualitative empirical reports from the date of establishment of the respective databases until April 2023. Data extraction was performed by two independent reviewers and study quality was assessed.

RESULTS

A total of nine studies were included. The experiences and preferences of prostate cancer patients with web-based physical activity apps were synthesised into the following three analysis themes: (1) Pursuing individualised management strategies; (2) Perceiving and seeking social support and (3) Moving forwards in the struggle.

CONCLUSION

Our study found that men with prostate cancer experienced greater challenges in engaging in physical activity. Because of individual differences between patients, health care providers need to provide care that is tailored to each patient. Future studies should further explore the specific effects of web-based PA applications in promoting the physical function of prostate cancer patients to increase their flexibility.

RELEVANCE TO CLINICAL PRACTICE

This article synthesises prostate cancer patients' experiences with web-based physical activity applications, highlighting their specific information needs. The results suggest several implications for the application of individualised management strategies, the perception and search for social support, and health- literacy. The results of this study will inform future research and program design that recognises the importance of patient-centred efforts to better self-manage physical function.

PATIENT OR PUBLIC CONTRIBUTION

In the early stages of the study, objectives and subsequent findings were presented and discussed in a meeting with a reference group that represented patients, health professionals and the public.

Effects of an interactive coaching intervention on quality of life and psychological factors for colorectal cancer survivors: A single group pre and posttest design

OBJECTIVE

To develop and evaluate the effects of an interactive coaching intervention, using a self-management mobile application, on quality of life and physical and psychological factors for colorectal cancer survivors.

METHODS

We developed a self-management mobile application providing social support services for post-treatment CRC survivors and evaluated its effects through baseline and post-intervention surveys. Using the biopsychosocial holistic model as the theoretical framework, automated interactive coaching technology was applied for six weeks to provide supportive services tailored for each user. To evaluate the effects of the application, self-efficacy, health practice index, depression, fear of cancer recurrence, and quality of life measures were administered to participants. A total of 34 men and 5 women were included in the analysis.

RESULTS

Participants' mean age were 54.10 years and 78% of them had been diagnosed within the last five years. There were significant increases in self-efficacy (z = 2.09, p = .04), health practice index (t = 2.35, p = .02), and quality of life (t = 2.03, p = .05). More specifically, the emotional functional score increased (z = 2.23, p = .03) while both of the total symptom score (t = 2.10, p = .04) and the fatigue symptom score (z = 2.54, p = .01) decreased after six weeks of using the mobile application.

CONCLUSIONS

Interventions supporting colorectal cancer survivors' self-management are critical for addressing the challenges they face after treatment and improving their quality of life. Providing social support through mobile applications could be a good strategy in terms of usability and effectiveness.

Impact of home-based training and nutritional behavior on body composition and metabolic markers in cancer patients: data from the CRBP-TS study

Introduction

Obesity and physical inactivity are known to affect cancer's development and prognosis. In this context, physical aerobic and resistance training as well as a Mediterranean nutrition have been proven to have many positive health effects. The aim of this study was therefore to investigate the effect of home-based training on body composition and certain metabolic laboratory parameters.

Methods

Patients with breast, colorectal and prostate cancer who underwent curative surgery at stages T1N0M0-T3N3M0 were eligible for this trial and randomized to an intervention and control group. In the intervention group the patients carried out online-based strength-endurance home training during the 6-month study period. Body composition was assessed via bioelectrical impedance analysis (baseline, 3 months and 6 months). Metabolic blood parameters were also analyzed and nutrition behavior determined using the Mediterranean Diet Adherence Screener (MEDAS).

Results

The intervention group's fat mass decreased while their lean body mass increased (time effect p = 0.001 and p = 0.001, respectively). We found no interaction effect in body weight (p = 0.19), fat mass [p = 0.06, 6-months estimates -0.9 (95% CI -1.8 to -0.1)] and lean body mass (p = 0.92). Blood samples also failed to show a statistically significant interaction effect between time × group for HbA1c% (p = 0.64), Insulin (p = 0.33), Adiponectin (p = 0.87), Leptin (p = 0.52) and Triglycerides (p = 0.43). Only Adiponectin revealed significance in the time effect (p < 0.001) and Leptin in the group effect (p = 0.03). Dietary behavior during the study period was similar in patients in the intervention and control groups (interaction p = 0.81; group p = 0.09 and time p = 0.03).

Discussion

Individualized online-based home training in postoperative cancer patients revealed only minor changes, with no group differences in body composition or metabolic laboratory parameters, which were predominantly in the reference range at baseline. More studies investigating effects of online-based home training on body composition and nutrition behavior are needed.

Trial registration

https://drks.de/search/en/trial/DRKS00020499, DRKS-ID: DRKS00020499.

Effects of Web-Based and Mobile Self-Care Support in Addition to Standard Care in Patients After Radical Prostatectomy: Randomized Controlled Trial

BACKGROUND

Prostate cancer is a common form of cancer that is often treated with radical prostatectomy, which can leave patients with urinary incontinence and sexual dysfunction. Self-care (pelvic floor muscle exercises and physical activity) is recommended to reduce the side effects. As more and more men are living in the aftermath of treatment, effective rehabilitation support is warranted. Digital self-care support has the potential to improve patient outcomes, but it has rarely been evaluated longitudinally in randomized controlled trials. Therefore, we developed and evaluated the effects of digital self-care support (electronic Patient Activation in Treatment at Home [ePATH]) on prostate-specific symptoms.

OBJECTIVE

This study aimed to investigate the effects of web-based and mobile self-care support on urinary continence, sexual function, and self-care, compared with standard care, at 1, 3, 6, and 12 months after radical prostatectomy.

METHODS

A multicenter randomized controlled trial with 2 study arms was conducted, with the longitudinal effects of additional digital self-care support (ePATH) compared with those of standard care alone. ePATH was designed based on the self-determination theory to strengthen patients' activation in self-care through nurse-assisted individualized modules. Men planned for radical prostatectomy at 3 county hospitals in southern Sweden were included offline and randomly assigned to the intervention or control group. The effects of ePATH were evaluated for 1 year after surgery using self-assessed questionnaires. Linear mixed models and ordinal regression analyses were performed.

RESULTS

This study included 170 men (85 in each group) from January 2018 to December 2019. The participants in the intervention and control groups did not differ in their demographic characteristics. In the intervention group, 64% (53/83) of the participants used ePATH, but the use declined over time. The linear mixed model showed no substantial differences between the groups in urinary continence (β=-5.60; P=.09; 95% CI -12.15 to -0.96) or sexual function (β=-.12; P=.97; 95% CI -7.05 to -6.81). Participants in the intervention and control groups did not differ in physical activity (odds ratio 1.16, 95% CI 0.71-1.89; P=.57) or pelvic floor muscle exercises (odds ratio 1.51, 95% CI 0.86-2.66; P=.15).

CONCLUSIONS

ePATH did not affect postoperative side effects or self-care but reflected how this support may work in typical clinical conditions. To complement standard rehabilitation, digital self-care support must be adapted to the context and individual preferences for use and effect.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN18055968; https://www.isrctn.com/ISRCTN18055968.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/11625.

Does matching a personally tailored physical activity intervention to participants' learning style improve intervention effectiveness and engagement?

This study aims to compare the effectiveness, engagement, usability, and acceptability of a web-based, computer-tailored physical activity intervention (provided as video or text) between participants who were matched or mismatched to their self-reported learning style (visual and auditory delivery through video or text-based information). Generalised linear mixed models were conducted to compare time (baseline, 3 months) by group (matched, mismatched) on ActiGraph-GT3X+measured moderate-to-vigorous physical activity (MVPA) and steps. Generalised linear models were used to compare group (matched and mismatched) on session completion, time-on-site, usability, and acceptability. MVPA and steps improved from baseline to 3-months, however this did not differ between participants whose learning styles were matched or mismatched to the intervention they received. Session completion, time-on-site, usability, and acceptability did not differ between matched and mismatched participants. Therefore, aligning intervention delivery format to learning style is unlikely to influence intervention effectiveness or engagement.

Exploring colorectal cancer survivors' perspectives on improving care delivery and the role of e-health technology: a qualitative study

PURPOSE

The purpose of this study was to gather insights from colorectal cancer (CRC) survivors on how to improve care for CRC survivors and how e-health technology could be utilized to improve CRC care delivery.

METHODS

Three semi-structured focus groups were held with sixteen CRC survivors. To initiate the discussion, an online registration form and two vignettes were used. The data was analyzed using the framework method.

RESULTS

Based on survivors' experiences, five themes were identified as opportunities for improving CRC care delivery. These themes include better recognition of complaints and faster referrals, more information as part of the care delivery, more guidance and monitoring of health outcomes, more collaboration between practitioners, and more attention for partners and relatives. In addition, survivors expressed opportunities for using e-health to facilitate information provision, improve communication, and monitor survivors' health conditions.

CONCLUSION

Several suggestions for improvement of CRC care delivery were identified. These often translated into possibilities for e-health to support or improve CRC care delivery. The ideas of survivors align with the vast array of existing e-health resources that can be utilized to enhance CRC care delivery. Therefore, the next step involves addressing the implementation gap between the needs of stakeholders, such as CRC survivors and healthcare providers, and the e-health tools currently available in clinical practice.

State of research, feasibility, safety, acceptability, and outcomes examined on remotely delivered exercises using technology for older adult with cancer: a scoping review

INTRODUCTION

Technology-based exercise is gaining attention as a promising strategy for increasing physical activity (PA) in older adults with cancer (OACA). However, a comprehensive understanding of the interventions, their feasibility, outcomes, and safety is limited. This scoping review (1) assessed the prevalence and type of technology-based remotely delivered exercise interventions for OACA and (2) explored the feasibility, safety, acceptability, and outcomes in these interventions.

METHODS

Studies with participant mean/median age ≥ 65 reporting at least one outcome measure were included. Databases searched included the following: PubMed, CINAHL, Embase, Cochrane Library Online, SPORTDiscus, and PsycINFO. Multiple independent reviewers completed screening and data abstractions of articles in English, French, and Spanish.

RESULTS

The search yielded 2339 citations after removing duplicates. Following title and abstract screening, 96 full texts were review, and 15 were included. Study designs were heterogeneous, and sample sizes were diverse (range 14-478). The most common technologies used were website/web portal (n = 6), videos (n = 5), exergaming (n = 2), accelerometer/pedometer with video and/or website (n = 4), and live-videoconferencing (n = 2). Over half (9/15) of the studies examined feasibility using various definitions; feasibility outcomes were reached in all. Common outcomes examined include lower body function and quality of life. Adverse events were uncommon and minor were reported. Qualitative studies identified cost- and time-savings, healthcare professional support, and technology features that encourage engagement as facilitators.

CONCLUSION

Remote exercise interventions using technology appear to be feasible and acceptable in OACA.

IMPLICATIONS FOR CANCER SURVIVORS

Some remote exercise interventions may be a viable way to increase PA for OACA.

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.

Effectiveness of the perioperative encounter in promoting regular exercise and physical activity: a systematic review and meta-analysis

Background

Low levels of physical activity (PA) are associated with poorer health outcomes. The perioperative encounter (extending from initial contact in primary care to beyond discharge from hospital) is potentially a good time to intervene, but data regarding the effectiveness of interventions are scarce. To address this, we systematically reviewed existing literature to evaluate the effectiveness of interventions applied perioperatively to facilitate PA in the medium to long-term (at least six months after the intervention).

Methods

In this systematic review and meta-analysis, we searched Central Register of Controlled Trials (CENTRAL, Cochrane Library), MEDLINE, CINAHL, Embase, PsycInfo, and SPORTDiscus from database inception to October 22nd 2020, with an updated search done on August 4th 2022. We searched clinical trials registers, and conducted forward- and backward-citation searches. We included randomised controlled trials and quasi-randomised trials comparing PA interventions with usual care, or another PA intervention, in adults who were scheduled for, or had recently undergone, surgery. We included trials which reported our primary outcomes: amount of PA or whether participants were engaged in PA at least six months after the intervention. A random effects meta-analysis was used to pool data across studies as risk ratios (RR), or standardised mean differences (SMDs), which we interpreted using Cohen. We used the Cochrane risk of bias tool and used GRADE to assess the certainty of the evidence. This study is registered with PROSPERO, CRD42019139008.

Findings

We found 57 trials including 8548 adults and compared 71 interventions facilitating PA. Most interventions were started postoperatively and included multiple components. Compared with usual care, interventions may slightly increase the number of minutes of PA per day or week (SMD 0.17, 95% CI 0.09-0.26; 14 studies, 2172 participants; I2 = 0%), and people's engagement in PA at the study's end (RR 1.19, 95% CI 0.96-1.47; 9 studies, 882 participants; I2 = 25%); this was moderate-certainty evidence. Some studies compared two different types of interventions but it was often not feasible to combine data in analysis. The effect estimates generally indicated little difference between intervention designs and we judged all the evidence for these comparisons to be very low certainty. Thirty-six studies (63%) had low risk of selection bias for sequence generation, 27 studies (47%) had low risk of bias for allocation concealment, and 56 studies (98%) had a high risk of performance bias. For detection bias for PA outcomes, we judged 30 studies (53%) that used subjective measurement tools to have a high risk of detection bias.

Interpretation

Interventions delivered in the perioperative setting, aimed at enhancing PA in the medium to long-term, may have overall benefit. However, because of imprecision in some of the findings, we could not rule out the possibility of no change in PA.

Funding

National Institute for Health Research Health Services and Delivery Research programme (NIHR127879).

Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development Study

BACKGROUND

Only a minority of adults aged over 50 years meet physical activity (PA) guidelines of the World Health Organization (WHO). eHealth interventions are proven effective tools to help this population increase its PA levels in the short term, among which the Active Plus and I Move interventions have been developed by our own research group. To achieve long-term effects, increase intervention use, and decrease dropout rates, 3 emergent but different mobile elements (an activity tracker, an ecological momentary intervention [EMI] program, and a chatbot) were added separately to Active Plus and I Move. In this study, the prototype development and pilot-testing of these interventions is described.

OBJECTIVE

This study aims to enhance 2 existing PA-stimulating computer-based interventions with 3 mobile elements (an activity tracker, an EMI program, or a chatbot) and test the prototypes on usability and appreciation within a target population of adults aged over 50 years.

METHODS

A systematic design protocol consisting of development, evaluation, and adaptation procedures was followed with involvement of the target population. Literature searches separated per mobile element and interviews with the target population (N=11) led to 6 prototypes: Active Plus or I Move including (1) an activity tracker, (2) EMI, or (3) a chatbot. These prototypes were tested on usability and appreciation during pilot tests (N=47) and subsequently fine-tuned based on the results.

RESULTS

The literature searches and interviews provided important recommendations on the preferences of the target population, which enabled us to develop prototypes. The subsequent pilot tests showed that the mobile elements scored moderate to good on usability, with average System Usability Scale (SUS) scores of 52.2-82.2, and moderate to good on enjoyment and satisfaction, with average scores ranging from 5.1 to 8.1 on a scale of 1-10. The activity tracker received the best scores, followed by EMI, followed by the chatbot. Based on the findings, the activity tracker interventions were fine-tuned and technical difficulties regarding EMI and the chatbot were solved, which is expected to further improve usability and appreciation.

CONCLUSIONS

During this study, 6 prototypes of online PA interventions with added mobile elements were developed and tested for usability and appreciation. Although all prototypes scored moderate to high on usability, enjoyment, and satisfaction, it can be concluded that the integration of an activity tracker with a computer-based PA intervention is the most promising option among the 3 mobile elements tested during this study. The prototype development steps of the systematic design protocol followed can be considered useful and successful for the purposes of this study. The interventions can now be evaluated on a larger scale through a randomized controlled trial.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/31677.

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.

Determinants of physical activity behaviour change in (online) interventions, and gender-specific differences: a Bayesian network model

BACKGROUND

Physical activity (PA) is known to be beneficial for health, but adherence to international PA guidelines is low across different subpopulations. Interventions have been designed to stimulate PA of different target groups by influencing relevant psycho-social determinants, essentially based on a combination of the Integrated Model for Change, the Theory of Planned Behaviour, its successor the Reasoned Action Approach and the self-determination theory. The current study investigates the pathways through which interventions influence PA. Further, gender differences in pathways of change are studied.

METHODS

An integrated dataset of five different randomised controlled trial intervention studies is analysed by estimating a Bayesian network. The data include measurements, at baseline and at 3, 6 (short-term), and 12 (long-term) months after the baseline, of important socio-cognitive determinants of PA, demographic factors, and PA outcomes. A fragment is extracted from the Bayesian network consisting of paths between the intervention variable, determinants, and short- and long-term PA outcomes. For each relationship between variables, a stability indicator and its mutual information are computed. Such a model is estimated for the full dataset, and in addition such a model is estimated based only on male and female participants' data to investigate gender differences.

RESULTS

The general model (for the full dataset) shows complex paths, indicating that the intervention affects short-term PA via the direct determinants of intention and habit and that self-efficacy, attitude, intrinsic motivation, social influence concepts, planning and commitment have an indirect influence. The model also shows how effects are maintained in the long-term and that previous PA behaviour, intention and attitude pros are direct determinants of long-term PA. The gender-specific models show similarities as well as important differences between the structures of paths for the male- and female subpopulations. For both subpopulations, intention and habit play an important role for short-term effects and maintenance of effects in the long-term. Differences are found in the role of self-efficacy in paths of behaviour change and in the fact that attitude is relevant for males, whereas planning plays a crucial role for females. The average of these differences in subpopulation mechanisms appears to be presented in the general model.

CONCLUSIONS

While previous research provided limited insight into how interventions influence PA through relevant determinants, the Bayesian network analyses show the relevance of determinants mentioned by the theoretical framework. The model clarifies the role that different determinants play, especially in interaction with each other. The Bayesian network provides new knowledge about the complex working mechanism of interventions to change PA by giving an insightful overview of influencing paths. Furthermore, by presenting subpopulation-specific networks, the difference between the influence structure of males and females is illustrated. These new insights can be used to improve interventions in order to enhance their effects. To accomplish this, we have developed a new methodology based on a Bayesian network analysis which may be applicable in various other studies.

Effects of behavioral change techniques on diet and physical activity in colorectal cancer patients: a systematic review and meta-analysis

PURPOSE

To investigate the effect of behavior change technology on diet, exercise, and sedentary behaviors in colorectal cancer over the last decade.

METHODS

This study systematically searched six English databases (Cochrane Library, EMBASE, APA PsycInfo, SCOPUS, PubMed, Web of Science) and three Chinese databases (CNKI, WanFang, and SINOMEd), searched for eligible clinical trials published between January 1, 2012, and December 31, 2021. Each database follows the principle of PICOS and adopts the method of subject words combined with free words to conduct literature retrieval, such as "colorectal cancer" and "behavior change intervention." Meta-analysis was performed using RevMan 5.3 software. Continuous data using the same measurement tools were analyzed using weighted mean difference (MD). Otherwise, standard mean difference (SMD) was used for analysis. The confidence interval is 95%. There was no significant statistical heterogeneity between the studies (P > 0.1, I² < 50%), and fixed-effects model was used. There was statistical heterogeneity (P ≤ 0.1), I² ≥ 50%), and the random effects model was used for analysis. The Cochrane risk of bias tool was used to assess the risk of bias in the included studies.

RESULTS

In total, 15 good-quality randomized controlled trials were identified. Six studies focused on eating habits. Twelve studies focused on physical activity. We found that behavior change techniques had significant effects on colorectal cancer survivors' eating behaviors such as frequency of fruit and vegetable intake and mastery of dietary knowledge (P < 0.05). The meta-analysis showed that the amount of physical activity in the intervention group increased by 71.76 min/w (16.27 to 127.24, P = 0.01) at 3 months after treatment compared with the control group. The meta-analysis showed that the amount of physical activity in the intervention group increased by 113.97 min/w (48.34 to 179.59, P < 0.001) at 6 months after treatment compared with the control group. The results revealed significant difference in the overall effect of the behavior change technique on the amount of exercise. Behavior change techniques were not found to have significant effects on body weight and BMI in colorectal cancer survivors, but it had a significant effect on sedentary behavior (P < 0.05).

CONCLUSIONS

The effects of behavioral change technique intervention on diet and physical activity may be more clinically significant at 6 months. This is the first systematic review and meta-analysis to summarize the effectiveness of a behavioral change techniques health behavior intervention in patients with colorectal cancer.

A Web-based Lifestyle Intervention for Cancer Survivors: Feasibility and Acceptability of SurvivorSHINE

Assess the feasibility, acceptability, and preliminary efficacy of a healthy lifestyle website, SurvivorSHINE ( www.survivorshine.org ), for cancer survivors using a mixed-methods approach. Formative research included a comprehensive literature review and four focus groups on website preferences with diagnosis-diverse cancer survivors (N = 17). Their feedback informed a web adaptation of a telephone counseling and mailed-print lifestyle intervention previously found effective for cancer survivors. The resulting web-based intervention was examined in a 3-week, single-arm trial among 41 cancer survivors. Assessments of physical activity, diet, body weight, and knowledge related to exercise and diet guidelines for cancer survivors occurred at baseline and 3 weeks later, along with exit interviews. Themes from focus groups indicated cancer survivors' desire for easy-to-use, interactive web-based platforms to access credible diet and exercise information. The study sample was recruited within 12 months, and study retention was high (85.4%). Participants showed significant pre- to post-test improvements in diet and exercise knowledge (t = 5.31, p < .0001) and physical activity (t = 2.40, p = .02). Improvements in body weight and some dietary components (red meat, alcohol) were observed, but did not reach statistical significance. Results support the feasibility and acceptability of SurvivorSHINE. The significant increases in healthy lifestyle knowledge and physical activity found in the current study are promising, but a larger, randomized-controlled trial is needed to determine efficacy.

Systematic Review of Functional Outcomes in Cancer Rehabilitation

OBJECTIVE

To systematically review the evidence regarding rehabilitation interventions targeting optimal physical or cognitive function in adults with a history of cancer and describe the breadth of evidence as well as strengths and limitations across a range of functional domains.

DATA SOURCES

PubMed, Cumulative Index to Nursing and Allied Health Plus, Scopus, Web of Science, and Embase. The time scope was January 2008 to April 2019.

STUDY SELECTION

Prospective, controlled trials including single- and multiarm cohorts investigating rehabilitative interventions for cancer survivors at any point in the continuum of care were included, if studies included a primary functional outcome measure. Secondary data analyses and pilot/feasibility studies were excluded. Full-text review identified 362 studies for inclusion.

DATA EXTRACTION

Extraction was performed by coauthor teams and quality and bias assessed using the American Academy of Neurology (AAN) Classification of Evidence Scheme (class I-IV).

DATA SYNTHESIS

Studies for which the functional primary endpoint achieved significance were categorized into 9 functional areas foundational to cancer rehabilitation: (1) quality of life (109 studies), (2) activities of daily living (61 studies), (3) fatigue (59 studies), (4) functional mobility (55 studies), (5) exercise behavior (37 studies), (6) cognition (20 studies), (7) communication (10 studies), (8) sexual function (6 studies), and (9) return to work (5 studies). Most studies were categorized as class III in quality/bias. Averaging results found within each of the functional domains, 71% of studies reported statistically significant results after cancer rehabilitation intervention(s) for at least 1 functional outcome.

CONCLUSIONS

These findings provide evidence supporting the efficacy of rehabilitative interventions for individuals with a cancer history. The findings should be balanced with the understanding that many studies had moderate risk of bias and/or limitations in study quality by AAN criteria. These results may provide a foundation for future work to establish clinical practice guidelines for rehabilitative interventions across cancer disease types.

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.

Adding Mobile Elements to Online Physical Activity Interventions Targeted at Adults Aged 50 Years and Older: Protocol for a Systematic Design

BACKGROUND

Physical activity (PA) can increase mental and physical health in adults aged 50 years and older. However, it has been shown that PA guidelines are often not met within this population. Therefore, our research group developed 2 computer-tailored intervention programs in the last decade to stimulate PA: Active Plus and I Move. Although these programs were proven effective, positive effects diminished over time and attrition rates were relatively high. To respond to this, we will integrate 3 interactive mobile elements into the existing programs: activity tracker, ecological momentary intervention program, and virtual coach app.

OBJECTIVE

The goal of the research is to define systematic and evidence-based steps for extending our online computer-based PA intervention programs with 3 interactive mobile elements.

METHODS

Components often included in other (eHealth) design models were identified as key components and served as a base for the definition of systematic steps: exploration of context, involvement of the target population, prototype and intervention testing, and implementation. Based on these key components, 10 systematic steps were defined. The initial step is a literature search, with the results serving as a base for development of the low-fidelity prototypes in step 2. The pilot phase comprises the 3rd to 6th steps and includes semistructured interviews, pilot tests, and adaptations of the prototypes with intensive involvement of the target population of adults aged 50 years and older, where particular attention will be paid to lower educated persons. The 7th step is an effect evaluation in the form of a randomized controlled trial. During the 8th step, the most effective intervention programs will be selected and reinforced. These reinforced intervention programs will be used during the design of an implementation plan in the 9th step and the subsequent field study in the 10th step.

RESULTS

The project will be executed from December 2019 to December 2023. During this period, the systematic approach presented will be practically executed according to the methodological procedures described.

CONCLUSIONS

Based on the 4 identified key components, we were able to design an evidence-based systematic design approach for separately adding 3 mobile elements to our existing online PA intervention programs. The 10 steps are presented as a useful approach to guide future eHealth design studies.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/31677.

eHealth Interventions for Dutch Cancer Care: Systematic Review Using the Triple Aim Lens

BACKGROUND

Globally, the burden of cancer on population health is growing. Recent trends such as increasing survival rates have resulted in a need to adapt cancer care to ensure a good care experience and manageable expenditures. eHealth is a promising way to increase the quality of cancer care and support patients and survivors.

OBJECTIVE

The aim of this systematic review was 2-fold. First, we aimed to provide an overview of eHealth interventions and their characteristics for Dutch patients with and survivors of cancer. Second, we aimed to provide an overview of the empirical evidence regarding the impact of eHealth interventions in cancer care on population health, quality of care, and per capita costs (the Triple Aim domains).

METHODS

The electronic databases Web of Science, PubMed, Cochrane, and Ovid PsycINFO were searched using 3 key search themes: eHealth interventions, cancer care, and the Netherlands. The identified interventions were classified according to predetermined criteria describing the intervention characteristics (eg, type, function, and target population). Their impact was subsequently examined using the Triple Aim framework.

RESULTS

A total of 38 interventions were identified. Most of these were web portals or web applications functioning to inform and self-manage, and target psychosocial factors or problems. Few interventions have been tailored to age, disease severity, or gender. The results of this study indicate that eHealth interventions could positively affect sleep quality, fatigue, and physical activity of patients with and survivors of cancer. Inconclusive results were found regarding daily functioning and quality of life, psychological complaints, and psychological adjustment to the disease.

CONCLUSIONS

eHealth can improve outcomes in the Triple Aim domains, particularly in the population health and quality of care domains. Cancer-related pain and common symptoms of active treatment were not targeted in the included interventions and should receive more attention. Further research is needed to fully understand the impact of eHealth interventions in cancer care on participation, accessibility, and costs. The latter can be examined in economic evaluations by comparing eHealth interventions with care as usual.

Psychosocial Determinants of Lifestyle Change after a Cancer Diagnosis: A Systematic Review of the Literature

Simple Summary

Although cancer survivors may experience health benefits from favorable lifestyle changes, many cancer survivors do not adhere to lifestyle recommendations or make favorable lifestyle changes after cancer diagnosis. This systematic review of the literature aimed to provide an overview of the scientific literature on sociodemographic, psychological and social determinants that may facilitate or hamper lifestyle change after the diagnosis cancer. It provides a structured overview of the large variety of determinants of changes in different lifestyle behaviors (physical activity, diet, smoking, alcohol, sun protection, and multiple lifestyle behaviors) derived from the 123 included papers (71 quantitative and 52 qualitative). Findings demonstrate the important role of oncology healthcare professionals in promoting healthy lifestyle changes in cancer survivors and inform researchers and healthcare professionals about the methods and strategies they can use to promote healthy lifestyle changes in cancer survivors.

Abstract

The aim of this study is to provide a systematic overview of the scientific literature on sociodemographic, psychological and social determinants that may facilitate or hamper lifestyle change after the diagnosis cancer. Four databases (PubMed, PsychINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science) were searched for relevant papers up to October 2021. Of the 9586 references yielded by the literature search, 123 papers were included: 71 quantitative and 52 qualitative papers. Findings showed a large variety of determinants influencing lifestyle change after cancer diagnosis, with differences between lifestyle behaviors (physical activity, diet, smoking, alcohol, sun protection, and multiple lifestyle behaviors) and findings from quantitative vs. qualitative studies. Findings demonstrate the important role of oncology healthcare professionals in promoting healthy lifestyle changes in cancer survivors. In addition, findings inform researchers involved in the development of health promotion programs about the methods and strategies they can use to promote healthy lifestyle changes in cancer survivors. Favorable lifestyle changes are expected to have beneficial effects on cancer risk and overall health in cancer survivors.

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.

Web-Based Lifestyle Interventions for Survivors of Cancer: Usability Study

BACKGROUND

Internet-based lifestyle programs are increasingly being used to deliver health behavior change interventions to survivors of cancer. However, little is known about website use in this population or its association with healthy lifestyle changes.

OBJECTIVE

The aim of this study is to describe lifestyle intervention website use (log-ins, time on website, and page views) among survivors of cancer and patterns of use by participant characteristics. In addition, associations were explored between website use and changes in healthy lifestyle knowledge and practice.

METHODS

A total of 35 survivors of cancer were recruited between August 2017 and 2018 to participate in a 2-week, single-arm pilot test of the SurvivorSHINE lifestyle intervention website. Knowledge and practices related to healthy diet and physical activity behaviors were measured at baseline and follow-up. Website use (eg, time spent on the website, frequency of log-ins, and page views) were collected from the SurvivorSHINE administrative site during the intervention period. Patterns of use were examined by participants' gender and race. Correlations between website use and changes in healthy lifestyle knowledge, physical activity, diet, and weight were explored. Mann-Whitney U tests were used to compare demographic factors on website use.

RESULTS

Participants logged into the SurvivorSHINE intervention website an average of 3.2 (SD 2) times over the 2-week period and spent a total average of 94 (SD 56) minutes viewing the website during the intervention. Examining website activity, 1905 page views were logged. The User Profile (344 page views) and Home sections (301 page views) were the most frequently visited components. No associations were observed between the frequency of log-ins or the total time on the website, improvements in knowledge related to healthy lifestyles, or changes in body weight or dietary intake. However, the total time on the website was positively correlated with improvements in accelerometer-measured physical activity (r=0.74; P=.02) and self-reported physical activity (r=0.35; P=.04).

CONCLUSIONS

Survivors of cancer demonstrated clear interest in a diet and exercise intervention website, as evidenced by their frequency of log-ins, page views on numerous features, and total viewing time. Moreover, increased website use was correlated with improvements in physical activity.

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.

Self-management interventions for issues identified in a geriatric assessment: A systematic review

BACKGROUND

With the development of electronic geriatric assessment (GA), recommendations for self-management can be provided to patients without the presence of health care providers. Our research question was to identify what self-management interventions can be used by patients to address issues identified in GA and to determine their effect on patient-centered outcomes such as quality of life, health, mood, cognition, and functional status.

METHODS

Searches were conducted on July 13, 2021, by a health sciences librarian in Medline, Embase, CINAHL, PsycInfo, and the Cochrane Library. A combination of database-specific subject headings and text word searches was used such as self-management, a key word for each of the geriatric assessment domains and older adults. Two independent reviewers reviewed abstracts and full texts for inclusion and abstracted data. Narrative synthesis was used to summarize findings.

RESULTS

Among 28,520 abstracts reviewed, 34 randomized controlled trials were included. The most frequently studied geriatric domains were mood (n = 13 studies), mobility/falls (n = 12), quality of life (n = 11), and functional status (n = 7). The majority of studies demonstrated positive effects on mobility/falls (9 of 12), pain (3 of 5), comorbidity (4 of 4), and medication management (4 of 4). Most studies were of low to moderate quality. All geriatric domains were targeted in at least one study.

CONCLUSIONS

Low- to moderate-quality studies show a variety of effective self-efficacy-targeted interventions exist for older adults to improve several important geriatric domains and related outcomes. However, long-term effects, validation, and scalability of these interventions remain largely unknown.

Acceptability and Preliminary Efficacy of a Web- and Telephone-Based Personalised Exercise Intervention for Individuals with Metastatic Prostate Cancer: The ExerciseGuide Pilot Randomised Controlled Trial

Simple Summary

Previous research supports the participation in supervised exercise among individuals with metastatic prostate cancer to help lessen the physical and psychological disease burden. However, many individuals experience considerable barriers to attending face-to-face exercise services. To overcome some of these limitations, digital interventions that can be delivered remotely have been proposed. Our pilot study investigated the acceptability, safety and preliminary efficacy of an 8-week computer-tailored web-based exercise intervention. We demonstrated that a web-based exercise program with telehealth support was acceptable and could be implemented safely. Participants in the intervention group increased their participation in moderate to vigorous physical activity compared to the control group. This study provides insight into the prospect of web-based exercise prescription for individuals with metastatic prostate cancer as an alternative for individuals who cannot access supervised exercise interventions.

Abstract

Preliminary research has shown the effectiveness of supervised exercise-based interventions in alleviating sequela resulting from metastatic prostate cancer. However, many individuals encounter barriers that limit the uptake of face-to-face exercise. Technology-enabled interventions offer a distance-based alternative. This pilot study aimed to explore the acceptability, safety and preliminary efficacy of a web-based exercise intervention (ExerciseGuide) in individuals with metastatic prostate cancer. Forty participants (70.2 ± 8.5 years) with metastatic prostate cancer were randomised into the 8-week intervention (N = 20) or a wait-list control (N = 20). The intervention arm had access to a computer-tailored website, personalised exercise prescription and remote supervision. ExerciseGuide was deemed acceptable with a score ≥20 on the client satisfaction questionnaire; however, the usability score was just below the pre-specified score of ≥68 on the software usability scale. There were no serious adverse events reported. Moderate-to-vigorous physical activity levels between baseline and follow-ups were significantly higher (10.0 min per day; 95% CI = (1.3–18.6); p = 0.01) in the intervention group compared to wait-list control. There were also greater improvements in step count (1332; 95% CI = (159–2505); p = 0.02) and identified motivation (0.4, 95% CI = (0.0, 0.7); p = 0.04). Our findings provide preliminary evidence that ExerciseGuide is acceptable, safe and efficacious among individuals with metastatic prostate cancer.

The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis

BACKGROUND

Digital technologies such as wearables, websites and mobile applications are increasingly used in interventions targeting physical activity (PA). Increasing access to such technologies makes an attractive prospect for helping individuals of low socioeconomic status (SES) in becoming more active and healthier. However, little is known about their effectiveness in such populations. The aim of this systematic review was to explore whether digital interventions were effective in promoting PA in low SES populations, whether interventions are of equal benefit to higher SES individuals and whether the number or type of behaviour change techniques (BCTs) used in digital PA interventions was associated with intervention effects.

METHODS

A systematic search strategy was used to identify eligible studies from MEDLINE, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Library, published between January 1990 and March 2020. Randomised controlled trials, using digital technology as the primary intervention tool, and a control group that did not receive any digital technology-based intervention were included, provided they had a measure of PA as an outcome. Lastly, studies that did not have any measure of SES were excluded from the review. Risk of Bias was assessed using the Cochrane Risk of Bias tool version 2.

RESULTS

Of the 14,589 records initially identified, 19 studies were included in the final meta-analysis. Using random-effects models, in low SES there was a standardised mean difference (SMD (95%CI)) in PA between intervention and control groups of 0.06 (- 0.08,0.20). In high SES the SMD was 0.34 (0.22,0.45). Heterogeneity was modest in both low (I2 = 0.18) and high (I2 = 0) SES groups. The studies used a range of digital technologies and BCTs in their interventions, but the main findings were consistent across all of the sub-group analyses (digital interventions with a PA only focus, country, chronic disease, and duration of intervention) and there was no association with the number or type of BCTs.

DISCUSSION

Digital interventions targeting PA do not show equivalent efficacy for people of low and high SES. For people of low SES, there is no evidence that digital PA interventions are effective, irrespective of the behaviour change techniques used. In contrast, the same interventions in high SES participants do indicate effectiveness. To reduce inequalities and improve effectiveness, future development of digital interventions aimed at improving PA must make more effort to meet the needs of low SES people within the target population.

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.

Comparing the use of patient-reported outcomes in clinical studies in Europe in 2008 and 2018: a literature review

PURPOSE

Several guidelines for the use of patient-reported outcomes (PROs) in clinical studies have been published in the past decade. This review primarily aimed to compare the number and compliance with selected PRO-specific criteria for reporting of clinical studies in Europe using PROs published in 2008 and 2018. Secondarily, to describe the study designs, PRO instruments used, patient groups studied, and countries where the clinical studies were conducted.

METHODS

A literature search was conducted in MEDLINE to identify eligible publications. To assess the number of publications, all abstracts were screened for eligibility by pairs of reviewers. Compliance with PRO-specific criteria and other key characteristics was assessed in a random sample of 150 eligible full-text publications from each year. Randomized controlled trials (RCTs) were assessed according to the full CONSORT-PRO checklist.

RESULTS

The search identified 1692 publications in 2008 and 4290 in 2018. After screening of abstracts, 1240 from 2008 and 2869 from 2018 were clinical studies using PROs. By full-text review, the proportion of studies discussing PRO-specific limitations and implications was higher in 2018 than in 2008, but there were no differences in the other selected PRO-specific criteria. In 2018, a higher proportion of studies were longitudinal/cohort studies, included ≥ 300 patients, and used electronic administration of PRO than in 2008. The most common patient groups studied were those with cancer or diseases of the musculoskeletal system or connective tissue.

CONCLUSION

The number of clinical studies from Europe using PROs was higher in 2018 than in 2008, but there was little difference in compliance with the PRO-specific criteria. The studies varied in terms of study design and PRO instruments used in both publication years.

Effects of and Lessons Learned from an Internet-Based Physical Activity Support Program (with and without Physiotherapist Telephone Counselling) on Physical Activity Levels of Breast and Prostate Cancer Survivors: The PABLO Randomized Controlled Trial

BACKGROUND

We developed an Internet-based physical activity (PA) support program (IPAS), which is embedded in a patient portal. We evaluated the effectiveness and costs of IPAS alone (online only) or IPAS combined with physiotherapist telephone counselling (blended care), compared to a control group.

METHODS

Breast or prostate cancer survivors, 3-36 months after completing primary treatment, were randomized to 6-months access to online only, blended care, or a control group. At baseline and 6-month post-baseline, minutes of moderate-to-vigorous PA (MVPA) were measured by accelerometers. Secondary outcomes were self-reported PA, fatigue, mood, health-related quality of life, attitude toward PA, and costs. (Generalized) linear models were used to compare the outcomes between groups.

RESULTS

We recruited 137 survivors (participation rate 11%). We did not observe any significant between-group differences in MVPA or secondary outcomes. Adherence was rather low and satisfaction scores were low to moderate, with better scores for blended care. Costs for both interventions were low.

CONCLUSIONS

Recruitment to the study was challenging and the interventions were less efficacious than anticipated, which led to lessons learned for future trials. Suggestions for future research are as follows: improved accessibility of the support program, increased frequency of support, and use of activity trackers.

Effect of telehealth interventions on quality of life in cancer survivors: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

With advances in cancer disease diagnosis and treatment, the trends of cancer survival continue to increase, but cancer survivors usually experience disease- or treatment-related problems (including both physiological and psychological problems) and poorer quality of life. Various types of telehealth interventions have been widespread in the field of medical care and have been shown to be cost-effective, to have high levels of patient satisfaction, and to have high acceptability among health professionals. Currently, there is no definite conclusion about the effectiveness of telehealth interventions on cancer survivors' quality of life.

OBJECTIVES

To evaluate the effects of telehealth interventions on cancer survivors' quality of life and compare the effectiveness of different types.

DESIGN

A systematic review and meta-analysis.

METHODS

A systematic literature search was conducted in six databases (MEDLINE, Embase, the Cochrane Central Register of Controlled trials, CINAHL, PsycINFO, and Web of Science) to identify relevant studies from inception to 14 April 2021. Two reviewers independently screened studies and extracted the data. The Cochrane risk-of-bias tool was used to evaluate the quality of the included studies. Data synthesis was conducted in Review Manager (Version 5.3), and the quality of life scores were calculated by using the standard mean difference (SMD) and 95% confidence intervals (CIs). Sensitivity analysis and subgroup analysis were also conducted.

RESULTS

Twenty-eight randomized controlled trials (RCTs) published from 2002 to 2020 were included. Meta-analysis revealed significant effects of telehealth interventions on cancer survivors' quality of life (SMD = 0.24, 95% CI: 0.14-0.34, P < 0.00001). Subgroup analysis showed that the most effective method was application-based intervention (SMD = 0.41, 95% CI: 0.17-0.66) and the short-term telehealth intervention was more effective than other durations of intervention (SMD = 0.28, 95% CI: 0.06-0.50). The effects on breast cancer survivors' quality of life were greater than those on the other types of cancer survivors (SMD = 0.30, 95% CI: 0.10-0.51). Sensitivity analysis indicated that the pooled results were robust and reliable.

CONCLUSION

Telehealth interventions are effective and alternative methods for improving quality of life among cancer survivors. The most effective approach was application-based intervention, the most common approach was website-based intervention, and in terms of intervention durations, the short-term telehealth intervention was the most effective. Most telehealth interventions included breast cancer survivors. More large, well-designed RCTs are needed to confirm the effects of telehealth interventions on quality of life in cancer survivors.

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.

Improved cancer coping from a web-based intervention for prostate cancer survivors: A randomized controlled trial

OBJECTIVES

Prostate cancer (PCa) survivors report poor physical functioning alongside negative psychological outcomes as they cope with treatment side effects and practical concerns after treatment completion. This study evaluated PROGRESS, a web-based intervention designed to improve adaptive coping among PCa survivors.

METHODS

Localized PCa patients (N = 431) within one year of treatment completion were randomized to receive educational booklets or PROGRESS + educational booklets. Surveys completed at baseline, 1-, 3-, and 6-months assessed patient characteristics; functional quality of life and coping (primary outcomes); and psychosocial outcomes (e.g., self-efficacy, marital communication; secondary outcomes). Intent-to-treat and as-treated analyses were completed to assess change in outcomes from baseline to 6 months using linear mixed effects regression models.

RESULTS

In the intent-to-treat analyses, participants randomized to the intervention group had improved diversion coping (i.e., healthy redirection of worrying thoughts about their cancer), but more difficulties in marital communication (ps < 0.05). However, PROGRESS usage was low among those randomized to the intervention group (38.7%). The as-treated analyses found PROGRESS users reported fewer practical concerns but had worse positive coping compared to PROGRESS non-users (ps < 0.05).

CONCLUSIONS

The findings suggest PROGRESS may improve certain aspects of adaptive coping among PCa survivors that use the website, but does not adequately address the remaining coping and psychosocial domains. Additional research is needed to better understand the gaps in intervention delivery contributing to low engagement and poor improvement across all domains of functional quality of life and adaptive coping.

CRBP-TS - evaluation of a home-based training and health care program for colorectal, breast, and prostate cancer using telemonitoring and self-management: study protocol for a randomized controlled trial

Background

Physical training is recommended in various national and international guidelines for patients with cancer. Observational studies have shown that physical activity leads to reduced recurrence and mortality rates by 20–40% in colorectal, breast, and prostate cancer. Despite existing evidence, a systematic care structure is still lacking. The primary aim of this study is to implement and evaluate an online training platform to strengthen physical performance and patient empowerment after cancer surgery.

Methods

The evaluation will be conducted as a prospective multicenter randomized controlled trial with three subgroups (colorectal-, breast-, and prostate cancer). Each group will include 100 patients (total 300 patients including dropouts; clinical stages T1–3 and/or N+; M0 after surgery intervention) and the primary endpoint (13% increase in the maximal oxygen consumption during exercise) will be examined. The intervention group will receive a 6-month home-based online training (2–3 times per week strength-endurance training using video presentations), bidirectional activity feedback information, online communication, and online counseling. The control group (usual care) will be advised lifestyle improvement. In-hospital testing will be performed before, during, and after the intervention. In addition to cardiopulmonary capacity, tumor specific diagnostics (liquid biopsy, depression and fatigue assessment, metabolic and endothelial screening) will be applied.

Discussion

Due to the increasing incidence of cancer, associated with considerable mortality, morbidity and impaired quality of life, there is an imperative requirement for improved cancer care, of which structured physical training may become an integral component.

Trial registration

DRKS-ID: DRKS00020499; Registered 17 March 2020.

Evaluating a web- and telephone-based personalised exercise intervention for individuals living with metastatic prostate cancer (ExerciseGuide): protocol for a pilot randomised controlled trial

Introduction

Preliminary research has shown the effectiveness of supervised exercise-based interventions in alleviating sequela resulting from metastatic prostate cancer. Despite this, many individuals do not engage in sufficient exercise to gain the benefits. There are many barriers, which limit the uptake of face-to-face exercise in this population including lack of suitable facilities, remoteness, and access to experts, significant fatigue, urinary incontinence and motivation. Technology-enabled interventions offer a distance-based alternative. This protocol describes a pilot two-armed randomised controlled study that will investigate the feasibility and preliminary efficacy of an online exercise and behavioural change tool (ExerciseGuide) amongst individuals with metastatic prostate cancer.

Methods

Sixty-six participants with histologically diagnosed metastatic prostate cancer will be randomised into either the 8-week intervention or a wait-list control. The intervention arm will have access to a tailored website, remote supervision, and tele-coaching sessions to enhance support and adherence. Algorithms will individually prescribe resistance and aerobic exercise based upon factors such as metastasis location, pain, fatigue, confidence and current exercise levels. Behavioural change strategies and education on exercise benefits, safety and lifestyle are also tailored through the website. The primary outcome will be intervention feasibility (safety, usability, acceptability, and adherence). Secondary exploratory outcomes include changes in physical activity, quality of life, sleep, and physical function. Outcomes will be measured at baseline and week 9.

Discussion

The study aims to determine the potential feasibility of an online remotely monitored exercise intervention developed for individuals with metastatic prostate cancer. If feasible, this pilot intervention will inform the design and implementation of further distance-based interventions.

Trial registration

ANZCTR, ACTRN12614001268639. Registered 10 December 2018, https://anzctr.org.au/ACTRN12618001979246.aspx

Supplementary Information

The online version contains supplementary material available at 10.1186/s40814-020-00763-2.

Patient experiences of self-care management after radical prostatectomy

PURPOSE

Prostate cancer is the most common cancer form in Sweden and side effects of the leading treatment, radical prostatectomy, include urinary leakage and erectile dysfunction. Patients are recommended to perform self-care to reduce side effects, but their experiences of performing self-care management after radical prostatectomy are largely unexplored. The aim of this study was to deepen the understanding about patient experiences of support for managing self-care during the first six months after radical prostatectomy.

METHODS

Eighteen patients were consecutively recruited six months after surgery and individual interviews were conducted. The study had a descriptive qualitative approach and inductive content analysis was used.

RESULTS

Patients described self-care management during the first half-year after surgery as a progression with growth in self-management skills through interconnected phases, from initially striving to get a grasp of the situation and find supportive relationships, to getting grounded in the new situation and taking command of the situation. At six months after surgery, patients had reached a point where they needed to maneuver feelings about long-term consequences.

CONCLUSIONS

Standardized routines ensure a certain level of care, but are sparsely adjustable to patients' progression in self-care management. For sustained self-care behaviors, tailored and interactive support is required from multiple disciplines and peers, in order for a patient to get grounded in and take command of the situation.