Effects of the ACTIVity And TEchnology (ACTIVATE) intervention on health-related quality of life and fatigue outcomes in breast cancer survivors

The impact of non- and anthracycline-based chemotherapy on fatigue in breast cancer survivors: results from WF-97415

PURPOSE

To examine the differential effect of non- and anthracycline-based chemotherapy on fatigue over 12 months post-diagnosis among breast cancer survivors.

METHODS

This study is based on a prospective Wake Forest NCI Community Oncology Research Program (NCORP) multicenter cohort study (WF-97415) of women with stage I to III breast cancer and non-cancer controls. Analyses compared those: 1) receiving, or 2) not receiving anthracycline chemotherapy, 3) receiving aromatase inhibitors (AIs) without chemotherapy, with 4) a comparator group without a history of cancer. In-person clinic assessments were conducted at: baseline (prior to chemotherapy or start of AI therapy), and 3 and 12 months after baseline. The Functional Assessment of Chronic Illness Therapy-Fatigue scale was the primary outcome. Estimated least squares means by group using mixed models with a random subject effect, fixed effects of time and group, and the interaction between time and group was used to compare groups across time, controlling for age, comorbidities, and treatment variables.

RESULTS

Among 284 women (mean age = 53.4 years, sd 11.9 years), there was a significant (p < 0.0001) group by time interaction, with a sharp increase in fatigue at 3 months in the two chemotherapy groups in comparison to the non-chemotherapy and non-cancer controls. The two chemotherapy groups did not significantly differ in fatigue at any time point.

CONCLUSION

Women with breast cancer who receive non- or anthracycline-based chemotherapy experience similar trends in and levels of fatigue within the first year of treatment and greater fatigue than women receiving AIs alone or women without breast cancer.

Mapping the Evidence on the Impact of mHealth Interventions on Patient-Reported Outcomes in Patients With Breast Cancer: A Systematic Review

PURPOSE

To comprehensively synthesize the existing evidence concerning mHealth interventions for patients with breast cancer (BC).

DESIGN

On July 30, 2023, we searched PubMed, PsycINFO, and Google Scholar for articles using the following inclusion criteria: evaluation of mHealth interventions in patients with cancer, at least 30 participants with BC, randomized control trials or prospective pre-post studies, determinants of health (patient-reported outcomes [PROs] and quality of life [QoL]) as primary outcomes, interventions lasting at least 8 weeks, publication after January 2015. Publications were excluded if they evaluated telehealth or used web-based software for desktop devices only. The quality of the included studies was analyzed with the Cochrane Collaboration Risk of Bias Tool and the Methodological Index for Non-Randomized Studies.

RESULTS

We included 30 studies (20 focused on BC), encompassing 5,691 patients with cancer (median 113, IQR, 135.5). Among these, 3,606 had BC (median 99, IQR, 75). All studies contained multiple interventions, including physical activity, tailored information for self-management of the disease, and symptom tracker. Interventions showed better results on self-efficacy (3/3), QoL (10/14), and physical activity (5/7). Lifestyle programs (3/3), expert consulting (4/4), and tailored information (10/11) yielded the best results. Apps with interactive support had a higher rate of positive findings, while interventions targeted to survivors showed worse results. mHealth tools were not available to the public in most of the studies (17/30).

CONCLUSION

mHealth interventions yielded heterogeneous results on different outcomes. Identifying lack of evidence on clinical scenarios (eg, patients undergoing systemic therapy other than chemotherapy) could aid in refining strategic planning for forthcoming research endeavors within this field.

Effects of wearable physical activity tracking for breast cancer survivors: A systematic review and meta-analysis

PURPOSE

Breast cancer is the most common cancer type worldwide, with its survivors often experiencing physical and psychosocial health problems. Wearable device use is an innovative and effective way to promote physical activity and improve health-related outcomes in breast cancer survivors; however, the current evidence is unclear. We aimed to determine the effects of wearable devices on physical activity and health-related outcomes in breast cancer survivors.

METHODS

PubMed, Embase, Web of Science, and Cochrane Library databases were searched to identify eligible studies from inception to September 2022. Additional relevant studies were obtained from the reference lists of the identified studies. Two reviewers independently screened the eligible studies, appraised the risk of bias, and extracted the data. Meta-analysis was conducted using Review Manager version 5.3.

FINDINGS

Sixteen randomized controlled trials were included. Physical activity tracking and pedometer-based interventions improved moderate-intensity physical activity (standardized mean difference [SMD] = 0.32, 95% confidence interval [CI]: 0.17-0.46, p < 0.0001), moderate-to-vigorous physical activity (SMD = 0.85, 95%CI: 0.38-1.32, p = 0.0004), total physical activity (SMD = 0.51, 95%CI: 0.12-0.90, p = 0.01), quality of life (SMD = 0.17, 95%CI: 0.03-0.31, p = 0.01), physical function (SMD = 0.21, 95%CI: 0.04-0.38, p = 0.02), and mood state profiles (SMD = -0.58, 95%CI: -1.13 to 0.02, p = 0.04) in breast cancer survivors. However, the effects of low-intensity physical activity, vigorous-intensity physical activity, fatigue, anxiety, depression, and sleep quality could not be ascertained.

CONCLUSIONS

Physical activity tracking and pedometer-based interventions were effective in increasing physical activity and improving health-related outcomes in breast cancer survivors.

IMPLICATIONS FOR NURSING PRACTICE

This review offers availability of credible evidence supporting the potential usefulness and effectiveness of wearable physical activity trackers on physical activity and health-related outcomes in breast cancer survivors.

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.

Behaviour change techniques used in lifestyle interventions that aim to reduce cancer-related fatigue in cancer survivors: a systematic review

BACKGROUND

Lifestyle interventions that target dietary and/or physical activity behaviours may impact cancer-related fatigue in cancer survivors. Changing lifestyle may be especially difficult for cancer survivors suffering from cancer-related fatigue. To increase effectiveness of lifestyle interventions, behaviour change techniques (BCTs) can be applied. The aim of this review is to systematically describe which BCTs are applied in lifestyle interventions targeting cancer-related fatigue among cancer survivors who finished primary treatment.

METHODS

PubMed, Scopus, PsycINFO, Cochrane Library and Web of Science were searched to identify randomised controlled trials (RCTs) of dietary and/or physical activity interventions targeting cancer-related fatigue in cancer survivors. The BCT taxonomy was used to code the BCTs that were applied in those interventions. BCTs that were reported in at least 25% of effective interventions were indicated as 'promising BCT', but only retained this classification when these BCTs were present in less than 25% of ineffective interventions.

RESULTS

Twenty-nine RCTs were identified, of which 17 were effective in reducing cancer-related fatigue. The most frequently applied BCTs were Goal setting (behaviour), Instruction on how to perform the behaviour, Demonstration of the behaviour, Behavioural practice/rehearsal, and Credible Source. The BCT 'Generalisation of the target behaviour' was identified as promising. These results should be interpreted with caution as only three studies screened their participants on level of cancer-related fatigue and most studies focused only on physical activity. Furthermore, many studies did not include a measure for actual behaviour change and had no follow-up period after the intervention ended.

CONCLUSIONS

There is a need for studies that screen their participants on level of cancer-related fatigue and a need for studies that focus more on dietary behaviours as a possible intervention to reduce fatigue. Also, studies should include follow-up timepoints after the interventions ends to examine long-term behaviour change. Future lifestyle interventions should describe interventions in detail to allow for easier coding of BCTs, and report on actual behaviour change following the intervention. Interventions may apply the BCT 'Generalisation of the target behaviour' to incorporate lifestyle behaviours in daily life. This may increase the chance that interventions will effectively reduce cancer-related fatigue.

Effect of the Fit2Thrive Intervention on Patient-reported Outcomes in Breast Cancer Survivors: A Randomized Full Factorial Trial

BACKGROUND

Moderate to vigorous physical activity (MVPA) interventions improve patient-reported outcomes (PROs) of physical and psychological health among breast cancer survivors (BCS); however, the effects of specific intervention components on PROs are unknown.

PURPOSE

To use the Multiphase Optimization Strategy (MOST) to examine overall effects of the Fit2Thrive MVPA promotion intervention on PROs in BCS and explore whether there are intervention component-specific effects on PROs.

METHODS

Physically inactive BCS [n = 269; Mage = 52.5 (SD = 9.9)] received a core intervention (Fitbit + Fit2Thrive smartphone app) and were randomly assigned to one of 32 conditions in a full factorial experiment of five components ("on" vs. "off"): (i) support calls, (ii) deluxe app, (iii) text messages, (iv) online gym, and (v) buddy. Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaires assessed anxiety, depression, fatigue, physical functioning, sleep disturbance and sleep-related impairment at baseline, post-intervention (12-week), and 24-week follow-up. Main effects for all components at each time point were examined using an intention to treat mixed-effects model.

RESULTS

All PROMIS measures except sleep disturbance significantly improved (p's < .008 for all) from baseline to 12-weeks. Effects were maintained at 24-weeks. The "on" level of each component did not result in significantly greater improvements on any PROMIS measure compared to the "off" level.

CONCLUSIONS

Participation in Fit2Thrive was associated with improved PROs in BCS, but improvements did not differ for "on" vs. "off" levels for any component tested. The low-resource Fit2Thrive core intervention is a potential strategy to improve PROs among BCS. Future studies should test the core in an RCT and examine various intervention component effects in BCS with clinically elevated PROs.

Differential Impact of Exercises on Quality-of-Life Improvement in Breast Cancer Survivors: A Network Meta-Analysis of Randomized Controlled Trials

This study aimed to assess the effectiveness of various exercise interventions in enhancing the quality of life for breast cancer survivors. To achieve this, randomized controlled trials were identified from major electronic databases, focusing on the relationship between exercise and quality of life in breast cancer survivors. The primary outcome was the impact of exercise on quality of life 12 weeks after the intervention, with a secondary outcome comparing dropout rates between intervention groups and a regular care control group. The study protocol was registered with INPLASY (INPLASY202340007). A network meta-analysis of nine randomized controlled trials involving 725 participants was conducted, examining aerobic and strength training, aerobic activity, yoga, and strength exercise. Results showed that aerobic and strength training was the most effective intervention, significantly improving the quality of life of breast cancer survivors (1.31; 95% confidence interval: 0.49 to 2.12). Aerobic activity had a borderline effect (0.83; 0.03 to 1.63), while no exercise interventions were associated with an increased dropout risk compared to the control group (regular care). The study concluded that concurrent aerobic and strength training can improve breast cancer survivors' quality of life after 12 weeks of intervention without increasing dropout risk compared to regular care.

The impact of motivational interviewing on behavioural change and health outcomes in cancer patients and survivors. A systematic review and meta-analysis

BACKGROUND

Cancer patients and survivors commonly have poorer health behaviours and subsequent outcomes, often as a result of negative impacts of diagnosis and treatment. Motivational interviewing is reported to be an effective psychological tool to produce a shift in one's behaviour resulting in improved outcomes. However, there is a lack of analyses investigating this tool's impact on healthy behaviours and health outcomes in cancer populations.

OBJECTIVE

To investigate the effect of motivational interviewing on behaviours and health outcomes in cancer populations.

METHODS

The studies were identified from four databases using variations of the terms "cancer" and "motivational interviewing". Randomised trials, non-randomised trials and quasi-experimental studies which contained control (or usual care) comparators were included. Risk of bias was assessed using the Cochrane Risk of Bias Version 5.1.0 and the Risk of Bias In Non-Randomised Studies of Interventions tools. The quality of evidence was assessed using the GRADE framework. Means difference and standardised mean differences and 95 % confidence intervals were used to report the pooled effects using a random effects model.

RESULTS

Twenty-one studies were included in the review and 17 studies were included in the meta-analysis. A total of 1752 cancer patients and survivors received MI as an intervention (or part thereof). Quality of life, anxiety, depression, functional tasks (6-minute walk test), body mass index and body weight (BMI/BW), physical activity (PA), self-efficacy and fatigue were outcomes measured in the selected studies. Effects were seen in functional tasks, physical activity, BMI/BW, depression and self-efficacy. All of these outcomes were from studies that were classed as very low-quality evidence except for BMI/BW and PA, which were from moderate-quality evidence.

CONCLUSION

Motivational interviewing had positive effects on functional tasks, PA, BMI/BW, depression and self-efficacy in people diagnosed with cancer. However, more higher-quality studies need to be conducted to further ascertain the effect of this intervention.

Non-pharmacological interventions for self-management of fatigue in adults: An umbrella review of potential interventions to support patients recovering from critical illness

PURPOSE

Fatigue is a common symptom after critical illness. However, evidence-based interventions for fatigue after critical illness are lacking. We aimed to identify interventions to support self-management of fatigue caused by physical conditions and assess their effectiveness and suitability for adaptation for those with fatigue after critical illness.

MATERIALS AND METHODS

We conducted an umbrella review of systematic reviews. Databases included CINAHL, PubMed, Medline, PsycINFO, British Nursing Index (BNI), Web of Science, Cochrane Database of Systematic Reviews (CDSR), JBI Evidence Synthesis Database, and PROSPERO register. Included reviews were appraised using the JBI Checklist for Systematic Reviews and Research Syntheses. Results were summarised narratively.

RESULTS

Of the 672 abstracts identified, 10 met the inclusion criteria. Reviews focused on cancer (n = 8), post-viral fatigue (n = 1), and Systemic Lupus Erythematosus (SLE) (n = 1). Primary studies often did not address core elements of self-management. Positive outcomes were reported across all reviews, and interventions involving facilitator support appeared to be most effective.

CONCLUSIONS

Self-management can be effective at reducing fatigue symptoms and improving quality of life for physical conditions and has clear potential for supporting people with fatigue after critical illness, but more conclusive data on effectiveness and clearer definitions of self-management are required.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Electronic Health Interventions for Patients With Breast Cancer: Systematic Review and Meta-Analyses

PURPOSE

Ongoing supportive care using electronic health (eHealth) interventions has the potential to provide remote support and improve health outcomes for patients with breast cancer. This study aimed to evaluate the effectiveness of eHealth interventions on patient-reported outcomes (quality of life [QOL], self-efficacy, and mental or physical health) for patients during and after breast cancer treatment and patient-reported experience measures (acceptability and engagement).

METHODS

Systematic review with meta-analyses (random-effects model) of randomized controlled trials was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Nine databases were searched using a prespecified search strategy. Patient-directed eHealth interventions for adult patients during or after active breast cancer treatment measuring QOL, self-efficacy, and mental (depressive, anxiety, and distress symptoms) or physical (physical activity, nutrition, and fatigue) health outcomes were included. Data from eligible full-text articles were independently extracted by six observers.

RESULTS

Thirty-two unique studies (4,790 patients) were included. All were health self-management interventions, and most were multicomponent (videos, forums, and electronic reminder systems) websites. Meta-analyses revealed a significant effect of eHealth interventions on QOL (standardized mean difference [SMD], 0.20 [95% CI, 0.03 to 0.36]), self-efficacy (SMD, 0.45 [95% CI, 0.24 to 0.65]), distress (SMD, -0.41 [95% CI,-0.63 to -0.20]), and fatigue (SMD, -0.37 [95% CI, -0.61 to -0.13]). Twenty-five studies (78.1%) measured patient-reported experience measures. Acceptability (n = 9) was high, with high ratings for satisfaction (range, 71%-100%), usefulness (range, 71%-95%), and ease-of-use (range, 73%-92%). Engagement (n = 25) decreased over time, but disease-focused information and interactive support were most engaging.

CONCLUSION

eHealth interventions may provide an acceptable and effective strategy for improving QOL, distress, self-efficacy, and fatigue among patients with breast cancer.

Supportive Care Interventions for People With Cancer Assisted by Digital Technology: Systematic Review

BACKGROUND

Although relatively new, digital health interventions are demonstrating rapid growth because of their ability to facilitate access and overcome issues of location, time, health status, and most recently, the impact of a major pandemic. With the increased uptake of digital technologies, digital health has the potential to improve the provision of supportive cancer care.

OBJECTIVE

This systematic review aims to evaluate digital health interventions for supportive cancer care.

METHODS

Published literature between 2000 and 2020 was systematically searched in MEDLINE, PubMed, Embase, PsycINFO, Cochrane Central Register of Controlled Trials, and Scopus. Eligible publications were randomized controlled trials of clinician-led digital health interventions to support adult cancer patients. The interventions included were determined by applying a digital health conceptual model. Studies were appraised for quality using the revised Cochrane risk of bias tool.

RESULTS

Twenty randomized controlled trials met the inclusion criteria for the analysis. Interventions varied by duration, frequency, degree of technology use, and applied outcome measures. Interventions targeting a single tumor stream, predominantly breast cancer, and studies involving the implementation of remote symptom monitoring have dominated the results. In most studies, digital intervention resulted in significant positive outcomes in patient-reported symptoms, levels of fatigue and pain, health-related quality of life, functional capacity, and depression levels compared with the control.

CONCLUSIONS

Digital health interventions are helpful and effective for supportive care of patients with cancer. There is a need for high-quality research. Future endeavors could focus on the use of valid, standardized outcome measures, maintenance of methodological rigor, and strategies to improve patient and health professional engagement in the design and delivery of supportive digital health interventions.

TRIAL REGISTRATION

PROSPERO CRD42020149730; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149730.

Targeting Sedentary Behavior in CKD: A Pilot and Feasibility Randomized Controlled Trial

BACKGROUND AND OBJECTIVES

We tested the feasibility of reducing sedentary behavior common in CKD.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We carried out a Sit Less, Interact, Move More intervention in a 24-week parallel-group, randomized controlled trial in patients with stages 2-5 CKD. In the intervention group (n=54), accelerometry performed at baseline and repeated every 4 weeks was used to develop and monitor adherence to individualized plans targeting sedentary and stepping durations. The control group (n=52) was provided national physical activity recommendations; accelerometry was performed at baseline and every 8 weeks. Between-groups changes from baseline to the average follow-up values at weeks 8, 16, and 24 of the sedentary and stepping durations were the coprimary end points.

RESULTS

The mean age was 69±13 years. Fourteen percent were on dialysis or received a kidney transplant. Eight percent of the control group and 17% of the intervention group were lost to follow-up. Sedentary and stepping durations did not change in the control group. Within the intervention group, the maximum decrease in sedentary duration (-43; 95% confidence interval, -69 to -17 min/d) and increase in stepping duration (16; 95% confidence interval, 7 to 24 min/d) and the number of steps per day (1265; 95% confidence interval, 518 to 2012) were seen at week 20. These attenuated at week 24. In mixed effects models, overall treatment effects between groups on sedentary (-17; 95% confidence interval, -43 to 8 min/d) and stepping (6; 95% confidence interval, -3 to 15 min/d) durations and the number of steps per day, a secondary end point (652; 95% confidence interval, -146 to 1449), were not significantly different. The intervention significantly reduced secondary end points of body mass index (-1.1; 95% confidence interval, -1.9 to -0.3 kg/m2) and body fat percentage (-2.1%; 95% confidence interval, -4.4% to -0.2%).

CONCLUSIONS

It is feasible to reduce sedentary duration and increase stepping duration in patients with CKD, but these were not sustained.

CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER

National Health and Nutrition Examination Survey (NHANES), NCT02970123.

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.