Use of complementary therapies for side effect management in breast cancer: evidence and rationale

Hypnosis and cognitive behavioral therapy with online sessions to reduce fatigue in patients undergoing chemotherapy for a metastatic colorectal cancer: Rational and study protocol for a feasibility study

Background

In metastatic colorectal cancer (CRCm), fatigue is pervasive, reduces quality of life, and is negatively associated with survival. Its course is explained in part by psychosocial variables such as emotional distress, coping strategies, or perceived control. Thus, to reduce fatigue, psychosocial interventions appear to be relevant. In some cancers, Cognitive Behavioral Therapies (CBT) reduce fatigue. Hypnosis is also used as a complementary therapy to reduce the side effects of cancer. While CBT requires specific training often reserved for psychologists, hypnosis has the advantage of being increasingly practiced by caregivers and is therefore less expensive (Montgomery et al., 2007). On the other hand, CBT and hypnosis remain understudied in the CRC, do not focus on the symptom of fatigue and in Europe such programs have never been evaluated.

Objectives

Implementing an intervention in a healthcare setting is complex (e.g., economic and practical aspects) and recruiting participants can be challenging. The primary objective will therefore be to study the feasibility of two standardized interventions (hypnosis and CBT) that aim to reduce fatigue in patients with CRCm treated in a French cancer center.

Methods and design

A prospective, single-center, randomized interventional feasibility study, using mixed methods (both quantitative and qualitative). A total of 60 patients will be allocated to each intervention group [Hypnosis (n = 30) and CBT (n = 30)]. Participants will be randomized into two parallel groups (ratio 1:1). Both programs will consist of 6 weekly sessions focusing on the CRF management over a period of 6 weeks. Trained therapists will conduct the program combining 3 face-to-face sessions and 3 online sessions. The feasibility and experience of interventions will be evaluated by the outcome variables, including the adhesion rate, the reasons for acceptability, relevance or non-adherence, the satisfaction, the fatigue evolution (with ecological momentary assessments), and the quality of life. All questionnaires will be self-assessment using an online application from the cancer center.

Discussion

Results will highlight the barriers/facilitators to the implementation of the program and the relevance of the program to the patients, and will be used to generate hypotheses for a randomized control trial.

Clinical trial registration

ClinicalTrials.gov Identifier: NCT04999306; https://clinicaltrials.gov/ct2/show/NCT04999306.

Impact of changes in perceived attentional function on postsurgical health-related quality of life in breast cancer patients awaiting adjuvant treatment

PURPOSE

Few studies have assessed pre-surgery cognitive impairment or the impact of pre-surgery cognitive impairment on quality of life. The purpose of this study was to assess changes in perceived cognitive function from pre-surgery to 1 month post-surgery and to determine whether cognitive function predicted health-related quality of life in women who awaited adjuvant treatment for breast cancer.

METHODS

This study used a descriptive pre-post design to assess women newly diagnosed with breast cancer prior to any treatment (N = 132). Cognition was assessed using the Attentional Function Index (AFI) and health-related quality of life was assessed using the Functional Assessment of Cancer Therapy-General (FACT-G). Statistical methods included descriptive, comparative and regression analyses. Covariates assessed and controlled for in analyses included depressed mood, fatigue, disturbed sleep, surgery-related symptoms (lymphedema/decreased mobility), and cultural tendency.

RESULTS

Perceived attention and memory function decreased from pre-surgery to 1 month post-surgery alongside alterations in arm function and a decrease in depressed mood (p < 0.05). Regression analysis indicated that, after controlling for covariates, poorer perceived attention and memory function, surgery-specific symptoms, and a greater tendency toward collectivism predicted poorer quality of life.

CONCLUSION

Perceived function on tasks requiring attention and working memory 1 month post-surgery was poorer compared to pre-surgery suggesting that the mental and physical demands of a new diagnosis of breast cancer and surgery may effect cognitive function. Additionally, changes in perceived cognitive function significantly predicted perceived quality of life in women awaiting adjuvant treatment for breast cancer. Findings suggest that breast cancer patients are at risk for an early decline in cognitive function and that interventions aimed at supporting and optimizing function may improve quality of life early in the disease trajectory.

Comparison of eight screening tools to detect interactions between herbal supplements and oncology agents

INTRODUCTION

Patients with cancer are increasingly using herbal supplements, unaware that supplements can interact with oncology treatment. Herb-drug interaction management is critical to ensure optimal treatment outcomes. Several screening tools exist to detect drug-drug interactions, but their performance to detect herb-drug interactions is not known. This study compared the performance of eight drug-drug interaction screening tools to detect herb-drug interaction with anti-cancer agents.

METHODS

The herb-drug interaction detection performance of four subscription (Micromedex, Lexicomp, PEPID, Facts & Comparisons) and free (Drugs.com, Medscape, WebMD, RxList) drug-drug interaction tools was assessed. Clinical relevance of each herb-drug interaction was determined using Natural Medicine and each drug-drug interaction tool. Descriptive statistics were used to calculate sensitivity, specificity, positive predictive value, and negative predictive value. Linear regression was used to compare performance between subscription and free tools.

RESULTS

All tools had poor sensitivity (<0.20) for detecting herb-drug interaction. Lexicomp had the highest positive predictive value (0.98) and best overall performance score (0.54), while Medscape was the best performing free tool (0.52). The worst subscription tools were as good as or better than the best free tools, and as a group subscription tools outperformed free tools on all metrics. Using an average subscription tool would detect one additional herb-drug interaction for every 10 herb-drug interactions screened by a free tool.

CONCLUSION

Lexicomp is the best available tool for screening herb-drug interaction, and Medscape is the best free alternative; however, the sensitivity and performance for detecting herb-drug interaction was far lower than for drug-drug interactions, and overall quite poor. Further research is needed to improve herb-drug interaction screening performance.

Prevalence of post-traumatic stress disorder among Lithuanian breast cancer patients and its risk factors

INTRODUCTION

Post-traumatic stress disorder (PTSD) is more common among oncology patients than in the general population. The purpose of this study was to examine the prevalence of PTSD symptoms among Lithuanian patients with breast cancer and to analyse its clinical, psychosocial and demographic risk factors.

METHODS

Women with T1-T3/N0-N3/M0 stages of breast cancer took part in this study. There were two phases of the study: the first, before breast surgery (N = 421) and the second, a year after (N = 188). Women were given the following questionnaires: an Impact of Event Scale-Revised (IES-R); Beck's Depression Inventory, second edition (BDI-II); and the Vrana-Lauterbach Traumatic Event Scale, Civilian version (TEQC).

RESULTS

The prevalence of PTSD symptoms significantly decreased over the year. Before surgery, women who were employed, had experienced emotionally traumatic events during their lifespan and were dissatisfied with delivery of the information about the disease had more PTSD symptoms. One year later, those who had undergone breast-saving surgery, were living in a partnership, had a higher education, were unemployed and had experienced severe traumatic events during the previous year had more PTSD symptoms. The IES-R questionnaire's estimates correlated with BDI-II estimates.

CONCLUSIONS

Health care professionals, who work with cancer patients, are recommended to pay closer attention to the stress patients' experience, especially in those more vulnerable women who have several of the aforementioned risk factors. Targeted training for doctors, during which they could learn how to report the diagnosis to oncology patients would be of great benefit.

eHealth for improving quality of life in breast cancer patients: A systematic review

Breast cancer patients (and survivors) use to deal with important challenges daily, such as coping with stress and depression, and adopting healthy lifestyles in order to improve treatment effectiveness; moreover, some experiential issues are quite specific of this disease, such as sexuality and fertility disfunctions after hormonal therapy, and distortions in body image after breast surgery. Recent literature highlighted the utility of eHealth or the use of new technologies to promote health management and quality of life in chronic diseases generally. The present contribution aims at (1) exploring usage and effectiveness of eHealth resources to improve breast cancer patients/survivors' quality of life, and (2) describing whether existing eHealth interventions addressed specific characteristics of breast cancer, or employed a generic approach only. A systematic literature search according to PRISMA guidelines was performed. Twenty-four studies met inclusion criteria and were included. Discussion highlights a majority of encouraging results about eHealth in breast cancer patients' health management, especially in those interventions featuring eHealth tools for improving patients' abilities (e.g., coping) and complex eHealth systems with multiple resources. However, generic use of eHealth is still predominant over disease-focused solutions. Guidelines for future eHealth research and development are listed in order to promote technology design centered on the lived experience of specific illness.