Effectiveness of eHealth interventions for cancer-related pain, fatigue, and sleep disorders in cancer survivors: A systematic review and meta-analysis of randomized controlled trials

Evaluating the cost, cost-effectiveness and survival of an eHealth-facilitated integrated care model for allogeneic stem cell transplantation: Results of the German SMILe randomized, controlled implementation science trial

PURPOSE

eHealth-facilitated integrated care models (eICMs) have proved effective in improving outcomes for chronically ill patients. However, evidence on cost-effectiveness of eICMs is scarce so far. Allogeneic stem cell transplantation (alloSCT) recipients' post-discharge treatment costs and mortality are greatly influenced by complications. Within the international, multicentric SMILe implementation science project, the eHealth-facilitated SMILe integrated care model (SMILe-ICM) was developed to support patients minimize complications' effects within the first year post-alloSCT. Using initial effectiveness findings from the first center that implemented the SMILe-ICM, this study provides a cost and cost-effectiveness evaluation considering one-year and long-term survival effects, post-discharge costs, and patient-related factors.

METHODS

A single-center hybrid effectiveness implementation randomized controlled trial was conducted at a German university hospital from 2/2020 to 8/2022. Eligible alloSCT patients were randomized to the SMILe-ICM or usual care, i.e., one pre-transplant educational nursing visit followed by a physician-led follow-up. The intervention group received usual care plus the SMILe-ICM's four intervention modules (i.e., monitoring of medical/symptom-related parameters, medication adherence, infection prevention, physical activity). All modules were delivered by Advanced Practice Nurses (APNs) in face-to-face visits, combined with continuous online support. Daily, patients entered seventeen medical and symptom-related parameters to the SMILe App, so that APNs could monitor for and investigate possible pre-complication signs. Healthcare utilization costs were assessed at eight time-points (d+30 post-alloSCT-d365) on fourteen self-reported cost indicators and validated against health records. To calculate costs, we applied German standardized unit costs. Cost- and cost-effectiveness were analyzed in five steps: 1.) Calculate total costs, including for the alloSCT inpatient stay and post-discharge follow-up. 2.) Determine life-years gained (survival) as a health benefit unit. 3.) Calculate overall and rehospitalization-free survival estimates. 4.) Calculate the intervention's long-term cost-effectiveness, including extended follow-up, rate of survival until day 1000, and restricted mean survival time. 5.) Contrast these long-term estimates to current post-discharge costs with comparable patient-related factors (age ≥ or < 65, living alone, gender).

RESULTS

Seventy-two patients participated (n = 36/group). Total intergroup healthcare utilization and post-discharge costs differed, but non-significantly. Survival rates improved with the SMILe-ICM (88% vs. 80%) at least until day +1000. Rehospitalization-free survival showed improvement (38% vs. 30%); however, considering this sample size, both findings were nonsignificant. Cost-effectiveness analysis showed an overall post-discharge cost-effectiveness of 35,364.01€/patient and 6,742€/life year gained - a mean of 79.21 additional days of life for an intervention investment of 1.464€/patient in the first year post-alloSCT. One-year cost-effectiveness was highest for patients living alone. Younger age correlated with longer survival but higher costs.

CONCLUSION

The SMILe-ICM appears to offer survival and rehospitalization benefits, particularly for vulnerable groups, e.g., patients living alone. Larger, adequately powered studies are needed to validate these findings.

Sleep quality in cancer patients: a common metric for several instruments measuring sleep quality

PURPOSE

Sleep problems are frequently observed in cancer patients. Multiple questionnaires for assessing sleep quality have been developed. The aim of this study was to present transfer rules that allow the conversion of the patients' scores from one questionnaire to another. In addition, we anchored this common metric to the general population.

METHODS

A sample of 1,733 cancer patients completed the following questionnaires: Pittsburgh Sleep Quality Index, Insomnia Sleep Index, Jenkins Sleep Scale, EORTC QLQ-C30, and the sleep scale of the EORTC QLQ-SURV100. The methods for establishing a common metric were based on Item Response Theory.

RESULTS

The main result of the study is a figure that allows the conversion from one of the above-mentioned sleep scales into another. Furthermore, the scores of the questionnaires can be transferred to theta scores that indicate the position within the group of cancer patients and also to T scores that indicate the position in relation to the general population. The correlations between the sleep scales ranged between 0.70 and 0.85.

CONCLUSIONS

The conversion rules presented in the study enable researchers and clinicians to directly compare single scores or mean scores across studies using different sleep scales, to assess the degree of sleep problems with regard to the general population, and to relate cutoff scores from one questionnaire to another.

Comparative efficacy of telehealth interventions on promoting cancer screening: A network meta-analysis of randomized controlled trials

BACKGROUND

Cancer screening is a pivotal method for reducing mortality from disease, but the screening coverage is still lower than expected. Telehealth interventions demonstrated significant benefits in cancer care, yet there is currently no consensus on their impact on facilitating cancer screening or on the most effective remote technology.

DESIGN

A network meta-analysis was conducted to detect the impact of telehealth interventions on cancer screening and to identify the most effective teletechnologies.

METHODS

Six English databases were searched from inception until July 2023 to yield relevant randomized controlled trials (RCTs). Two individual authors completed the literature selection, data extraction, and methodological evaluations using the Cochrane Risk of Bias tool. Traditional pairwise analysis and network meta-analysis were performed to identify the overall effects and compare different teletechnologies.

RESULTS

Thirty-four eligible RCTs involving 131,644 participants were enrolled. Overall, telehealth interventions showed statistically significant effects on the improvement of cancer screening. Subgroup analyses revealed that telehealth interventions were most effective for breast and cervical cancer screening, and rural populations also experienced benefits, but there was no improvement in screening for older adults. The network meta-analysis indicated that mobile applications, video plus telephone, and text message plus telephone were associated with more obvious improvements in screening than other teletechnologies.

CONCLUSION

Our study identified that telehealth interventions were effective for the completion of cancer screening and clarified the exact impact of telehealth on different cancer types, ages, and rural populations. Mobile applications, video plus telephone, and text message plus telephone are the three forms of teletechnologies most likely to improve cancer screening. More well-designed RCTs involving direct comparisons of different teletechnologies are needed in the future.

CLINICAL RELEVANCE

Telehealth interventions should be encouraged to facilitate cancer screening, and the selection of the optimal teletechnology based on the characteristics of the population is also necessary.

Effects of sleep disturbance, cancer-related fatigue, and psychological distress on breast cancer patients' quality of life: a prospective longitudinal observational study

More attention has gone to researching the cancer-related fatigue (CRF)-sleep disturbance (SD)-psychological distress (PD) symptom cluster in breast cancer patients during the chemotherapy period, but the change trend and heterogeneous development track in the whole treatment stage remain unclear, and it is also unclear whether the appearance of and changes in one symptom cause changes in other symptoms and quality of life (QoL). This study, using breast cancer patients' data collected through a validated questionnaire, examined the relationships between SD, CRF, PD, and QoL using latent growth modeling analyses. CRF developmental trajectories showed an upward trend over five surveys (slope = 0.649, P < 0.001); PD showed a significant weakening trend (slope = - 0.583, P < 0.001); SD showed an increasing trend (slope = 0.345, P < 0.001), and QoL showed a statistically significant weakening trend (slope = - 0.373, P < 0.001). The initial CRF (coefficient = - 0.233, P < 0.01), PD (coefficient = - 0.296, P < 0.01), and SD (coefficient = - 0.388, P < 0.001) levels had a statistically significant negative effect on initial QoL level. The linear development rate of PD was statistically significant and negatively affected that of QoL (coefficient = - 0.305, P < 0.05), whereas the quadratic development rate of SD negatively affected that of QoL (coefficient = - 0.391, P < 0.05). Medical staff should identify the change characteristics of different variables based on SD, CRF, PD, and QoL change trajectories, and advance the intervention time, as changes in variables affect other variables' subsequent changes.

Feasibility and Usability of EnergyPoints: A Mobile Health App to Guide Acupressure Use for Cancer Symptom Management

OBJECTIVE

To examine the feasibility and usability of EnergyPoints™, an innovative mobile health app that teaches and guides people with cancer to implement daily acupressure to self-manage their fatigue and sleep disturbances.

METHODS AND INTERVENTION

The study used an integrated agile, human-centered approach. Adults (age 18 years and over) with cancer experiencing at least moderate fatigue, and living in the Greater New York City community, were recruited from social media, patient advocacy groups, and referrals. Twenty participants (in 3 sprints of 3, 5, and 12) were video-recorded thinking aloud while using the app for the first time. They then used the app at home to self-administer acupressure (twice daily for 1 week) while continuously wearing a fitness tracker. Each participant completed an exit interview and modified Computer System Usability Questionnaire post-participation.

RESULTS

Participants were ages 40 to 76 years and 65% female; 65% were non-Hispanic white. Mean pass rates per ritual exceeded 80%. Users completed (totally or partially) greater than 90% of stimulating acupressure and 70% of relaxing acupressure rituals. Sprint 3 SPs totally completed at least 1 ritual 87% of the time. The majority agreed or strongly agreed the app was easy to use (90%), easy to learn (85%), easy to understand (75%), and effective in helping perform self-acupressure (85%). In an analysis of ease of completing 5 key tasks, all successfully completed the tasks; 3 users required some assistance. Of 654 usability statements, those coded as personal experience/context (197), content related to acupressure learning (105), and content related to the onboarding/profile (71) were most frequent. The design team integrated recommendations into the app before the next sprint.

CONCLUSIONS

Findings supported feasibility and usability, as well as acceptability, and led to significant alterations and improvements. EnergyPoints™ offers an opportunity to mainstream acupressure and help cancer survivors self-manage their symptoms.

The effectiveness of symptom management interventions based on electronic patient-reported outcomes (ePROs) for symptom burden, quality of life, and overall survival among patients with cancer: A meta-analysis of randomized controlled trials

OBJECTIVE

To explore the effectiveness of ePRO-based symptom management interventions on symptom burden, quality of life, and overall survival among patients with cancer for the first time and to explore the effects of different types of these interventions.

BACKGROUND

Since advances in screening and treatment have transformed cancer into a chronic illness rather than a fatal disease, symptom management has become increasingly critical in oncology nursing. In recent decades, ePROs have been increasingly used in the symptom management of cancer patients to improve their symptom burden, quality of life and overall survival, but the existing findings are still inconsistent and equivocal.

METHODS

A literature search was conducted in PubMed, Web-of-Science, CENTRAL, and CINAHL-Plus-with-Full-Text from inception to January 31, 2023. The quality of methodology and evidence were evaluated by the revised Cochrane risk-of-bias tool and the Grading of Recommendations, Assessment, Development, and Evaluation framework. All data were analyzed using R within the RStudio platform, and the effects of interventions were determined by calculating SMD, HR and 95 %CI. Subgroup analysis, sensitivity analysis and cumulative meta-analysis were performed, and statistical heterogeneity was examined by I2 statistic, P value, and Egger's or arcsine test. Statistical significance was defined as a two-tailed P value <0.05.

RESULTS

A total of 23 randomized controlled trials with 7231 patients were included. The results indicated that ePRO-based symptom management interventions could improve the symptom burden (SMD = -0.19, 95 % CI [-0.33, -0.05], P < 0.01), quality of life (SMD = 0.16, 95 % CI [0.06, 0.25], P < 0.01) and overall survival (HR = 0.84, 95 % CI [0.73, 0.97], P = 0.02) of cancer patients. Subgroup analysis showed that targeted interventions for patients undergoing specific treatments were effective in relieving the symptom burden and enhancing quality of life. Short-term (≤3 months) interventions or reporting via telephone call contributed to alleviating the symptom burden, while quality of life improved when the intervention was more than three months in duration or not reported by telephone call. The pooled results of symptom burden and quality of life were stable, and the beneficial trends of all three outcomes were steady. The overall quality of methodology and evidence was moderate.

CONCLUSIONS

We found that ePRO-based symptom management interventions are conducive to improving symptom burden, quality of life, and overall survival of cancer patients. In addition to encouraging the integration of ePRO-based interventions into routine oncology care, interventions with tailored plans, proper intensity and multidimensional supports need to be developed in the future to optimize the symptom management of cancer patients.

REGISTRATION

CRD42023393330.

Personalised electronic health programme for recovery after major abdominal surgery: a multicentre, single-blind, randomised, placebo-controlled trial

BACKGROUND

Despite the adoption of minimally invasive techniques, recovery after abdominal surgery takes a long time. Electronic health (eHealth) modalities can provide guidance to patients, facilitating early return to normal activities. We aimed to assess the impact of a personalised eHealth programme on patients' return to normal activities after major abdominal surgery.

METHODS

This single-blind, randomised, placebo-controlled trial was done at 11 teaching hospitals in the Netherlands. Eligible participants were aged 18-75 years who underwent a laparoscopic or open colectomy or hysterectomy. An independent researcher randomly allocated participants (in a 1:1 ratio) to either the intervention or control group by use of computer-based randomisation lists, with stratification by sex, type of surgery, and hospital. Participants in the intervention group had access to a perioperative, personalised eHealth programme consisting of both standard face-to-face care and eHealth, that comprised interactive tools offering goal attainment and a personalised outcome measurement, which managed recovery expectations and provided postoperative guidance tailored to each patient. Patients were provided with an activity tracker and had access to a website and mobile app with an electronic consultation (eConsult) functionality. The control group received standard care and access to a placebo website containing recovery advice provided by the hospital. The primary outcome was the number of days between surgery and personalised return to normal activities, assessed with Kaplan-Meier curves. Intention-to-treat and per-protocol analyses were done with a Cox regression model. This trial is registered with the Netherlands National Trial Register (NTR5686).

FINDINGS

Between Feb 11, 2016, and Aug 9, 2017, 355 participants were randomly assigned to the intervention (n=178) or control (n=177) groups. 342 participants were included in the intention-to-treat analysis. The median time until return to normal activities was 52 days (IQR 33-111) in the intervention group, and 65 days (39-152) in the control group (adjusted hazard ratio 1·30 [95% CI 1·03-1·64]; p=0·027). The frequency of postoperative complications did not differ between groups.

INTERPRETATION

This eHealth programme, delivering personalised care based on goal attainment scaling, enabled patients to return to their normal activities 13 days earlier than those who received standard care.

FUNDING

ZonMw.

Effects of exercise interventions on cancer-related fatigue and quality of life among cancer patients: a meta-analysis

PURPOSE

In this study, exercise interventions were evaluated for their effects on cancer-related fatigue (CRF) and quality of life (QoL) among cancer patients.

DESIGN

A meta-analysis was performed.

METHODS

We systematically searched the PubMed/Medline, Web of Science, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, and CINAHL databases, and gray literature sources including the Virginia Henderson International Nursing Library and Google Scholar. This study only included randomized controlled trials (RCTs) examining how exercise interventions affect CRF and QoL among cancer patients. Based on the Cochrane Risk-of-Bias Assessment Tool, version 2 (RoB 2) and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, the methodological quality of the included studies was evaluated. In addition, standardized mean differences (SMDs) and 95% confidence intervals (CIs) were applied to assess the intervention effect with respect to CRF and QoL. Data analysis was performed using Review Manager (version 5.4).

RESULTS

There were a total of 1573 participants in the 28 included articles. According to the meta-analysis, CRF (SMD = -0.35, 95% CI: -0.63 to -0.07, p = 0.01) and QoL (SMD = 0.36, 95% CI: 0.20 to 0.53, p < 0.01) were positively affected by exercise interventions. Subgroup analyses revealed considerable improvements in CRF (SMD = -0.54, 95% CI: -1.00 to -0.09, p = 0.02) and QoL (SMD = 0.38, 95% CI: 0.16 to 0.59, p < 0.01) from aerobic exercise. An intervention duration less than 12 weeks had a better effect on CRF (SMD = -0.80, 95% CI: -1.43 to -0.17, p = 0.01) and QoL (SMD = 0.53, 95% CI: 0.21 to 0.85, p < 0.01), and three times per week was the most effective frequency in improving QoL (SMD = 0.69, 95% CI: 0.28 to 1.11, p < 0.01). Exercise intervention was more successful in improving CRF (SMD = -0.66, 95% CI: -1.10 to -0.21, p < 0.01) and QoL (SMD=-0.50, 95% CI: 0.23 to 0.78, p < 0.01) in female cancer patients. Sensitivity analyses showed that the pooled outcomes were reliable and stable.

CONCLUSION

Exercise interventions are a workable approach to improve CRF and QoL among cancer patients. An aerobic exercise intervention of less than 12 weeks might be most effective in improving CRF and QoL, and three times per week might be the most appropriate frequency. Exercise might have a more positive effect on improving CRF and QoL in female cancer patients. Additionally, a larger number of high-quality RCTs should be conducted to further confirm the efficacy of exercise interventions on CRF and QoL among cancer patients.

REGISTRATION NUMBER

CRD42022351137.

Digital health and telehealth in cancer care: a scoping review of reviews

The COVID-19 pandemic necessitated remote cancer care delivery via the internet and telephone, rapidly accelerating an already growing care delivery model and associated research. This scoping review of reviews characterised the peer-reviewed literature reviews on digital health and telehealth interventions in cancer published from database inception up to May 1, 2022, from PubMed, Cumulated Index to Nursing and Allied Health Literature, PsycINFO, Cochrane Reviews, and Web of Science. Eligible reviews conducted a systematic literature search. Data were extracted in duplicate via a pre-defined online survey. Following screening, 134 reviews met the eligibility criteria. 77 of those reviews were published since 2020. 128 reviews summarised interventions intended for patients, 18 addressed family caregivers, and five addressed health-care providers. 56 reviews did not target a specific phase of the cancer continuum, whereas 48 reviews tended to address the active treatment phase. 29 reviews included a meta-analysis, with results showing positive effects on quality of life, psychological outcomes, and screening behaviours. 83 reviews did not report intervention implementation outcomes but when reported, 36 reported acceptability, 32 feasibility, and 29 fidelity outcomes. Several notable gaps were identified in these literature reviews on digital health and telehealth in cancer care. No reviews specifically addressed older adults, bereavement, or sustainability of interventions and only two reviews focused on comparing telehealth to in-person interventions. Addressing these gaps with rigorous systematic reviews might help guide continued innovation in remote cancer care, particularly for older adults and bereaved families, and integrate and sustain these interventions within oncology.

Acupuncture therapies for cancer-related fatigue: A Bayesian network meta-analysis and systematic review

Background

Cancer-related fatigue (CRF) is one of the most commonly reported symptoms impacting cancer survivors. This study evaluated and compared the effectiveness and safety of acupuncture treatments for CRF.

Methods

We searched PubMed, Embase, Web of Science, Cochrane Library, China Biology Medicine China National Knowledge Infrastructure, China Science and Technology Journal Database, and WanFang Database from inception to November 2022 to identify eligible randomized controlled trials (RCTs) comparing acupuncture treatments with sham interventions, waitlist (WL), or usual care (UC) for CRF treatment. The outcomes included the Cancer Fatigue Scale (CFS) and Pittsburgh Sleep Quality Index (PSQI), and pair-wise and Bayesian network meta-analyses were performed using STATA v17.0.

Results

In total, 34 randomized controlled trials featuring 2632 participants were included. In the network meta-analysis, the primary analysis using CFS illustrated that point application (PA) + UC (standardized mean difference [SMD] = −1.33, 95% CI = −2.02, −0.63) had the highest probability of improving CFS, followed by manual acupuncture (MA) + PA (SMD = −1.21, 95% CI = −2.05, −0.38) and MA + UC (SMD = −0.80, 95% CI = −1.50, −0.09). Moreover, the adverse events of these interventions were acceptable.

Conclusion

This study demonstrated that acupuncture was effective and safe on CRF treatment. However, further studies are still warranted by incorporating more large-scale and high-quality RCTs.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42022339769.

Psychosocial and Integrative Oncology: Interventions Across the Disease Trajectory

This article provides an overview of the fields of psychosocial and integrative oncology, highlighting common psychological reactions to being diagnosed with and treated for cancer, including distress, anxiety, depression, fear of cancer recurrence and caregiver burden, as well as symptoms of fatigue, pain, and sleep disturbance. Patterns of symptomatology across the disease continuum are also discussed. Interventions targeted at treating these symptoms are reviewed, including acceptance-based and mindfulness therapies, mind-body therapies, and meaning-based approaches designed for people with advanced stages of disease, including psychedelic therapy. Common methodological issues and shortcomings of the evidence base are summarized with design recommendations, and a discussion of trends in future research including pragmatic research design, digital health interventions, and implementation science completes the article.

Updates in Cancer Rehabilitation Telehealth

Purpose of Review

To describe the various uses of telehealth as it applies to cancer rehabilitation and to review recent findings since the onset of the COVID-19 pandemic.

Recent Findings

Telehealth has numerous applications in cancer rehabilitation including physiatry services, skilled therapies, exercise interventions, symptom management, and support groups. Numerous studies have shown that regular physician and skilled therapy services can be provided through telehealth platforms, though certain clinical situations may require in-person visits. Telehealth exercise-based interventions are feasible, safe, and can improve quality of life. Telehealth also may be an effective tool in symtom management and as a medium for support groups.

Summary

Telemedicine and telehealth platforms are effective tools in the field of cancer rehabilitation that not only provide increased safety and convenience for a burdened patient population but may also hold the potential to elevate beyond the current standard of care.

Different Machine Learning Approaches for Implementing Telehealth-Based Cancer Pain Management Strategies

Background: The most effective strategy for managing cancer pain remotely should be better defined. There is a need to identify those patients who require increased attention and calibrated follow-up programs. Methods: Machine learning (ML) models were developed using the data prospectively obtained from a single-center program of telemedicine-based cancer pain management. These models included random forest (RF), gradient boosting machine (GBM), artificial neural network (ANN), and the LASSO−RIDGE algorithm. Thirteen demographic, social, clinical, and therapeutic variables were adopted to define the conditions that can affect the number of teleconsultations. After ML validation, the risk analysis for more than one remote consultation was assessed in target individuals. Results: The data from 158 patients were collected. In the training set, the accuracy was about 95% and 98% for ANN and RF, respectively. Nevertheless, the best accuracy on the test set was obtained with RF (70%). The ML-based simulations showed that young age (<55 years), lung cancer, and occurrence of breakthrough cancer pain help to predict the number of remote consultations. Elderly patients (>75 years) with bone metastases may require more telemedicine-based clinical evaluations. Conclusion: ML-based analyses may enable clinicians to identify the best model for predicting the need for more remote consultations. It could be useful for calibrating care interventions and resource allocation.