A P5 cancer medicine approach: why personalized medicine cannot ignore psychology

Observations Regarding the Detection of Abnormal Findings Following a Cancer Screening Whole-Body MRI in Asymptomatic Subjects: The Psychological Consequences and the Role of Personality Traits Over Time

BACKGROUND

The use of whole-body MRI (WB-MRI) in oncology has uncovered frequent unexpected abnormal findings (AFs). However, the impact of AFs on the patients' mental well-being is still poorly examined.

PURPOSE

To investigate the long-term psychological consequences of AF detection following WB-MRI for cancer screening in asymptomatic individuals.

STUDY TYPE

Prospective, longitudinal.

POPULATION

121 consecutive subjects of the general population (mean age = 52.61 ± 11.39 years; 63% males) scheduled for cancer screening by WB-MRI.

FIELD STRENGTH/SEQUENCE

1.5-T and 3-T; protocol complied with Oncologically Relevant Findings Reporting and Data System (ONCO-RADS) guidelines.

ASSESSMENT

Participants completed the first psychological investigation (T0) immediately after the WB-MRI. Subsequently, it was repeated after 1-year (T1), and 4-years (T2, subgroup of 61 participants) without an MRI exam, assessing personality traits, tumor risk perception, quality of life, depressive, and anxious symptoms. Radiologists directly reported WB-MRI findings to the participants, explaining the clinical implications and the location of the AFs. The number and severity of AFs were assessed.

STATISTICAL TESTS

Pearson's correlations and analysis of variance with repeated measures assessed the psychological health variables' relationship and their changes over time. A P-value <0.05 was considered statistically significant.

RESULTS

All participants presented AFs, with 101 individuals categorized as ONCO-RADS 2 and 19 as ONCO-RADS 3. The AFs were most prevalent in bones (31.5%). The overall participants showed only a slight increase in depressive symptoms at T1 [F(1,112) = 7.54]. The severity and the number of AFs were not significantly related to psychological changes [ranging from P = 0.503 to P = 0.997]. Depressive and anxious symptoms over time were significantly affected by the traits of conscientiousness [T1: F(1,112) = 7.87; T2: F(1.708,90.544) = 3.40] and openness [T1: F(1,112) = 4.41].

DATA CONCLUSION

Disclosing AFs by WB-MRI exams for cancer screening may not lead to long-term psychosocial consequences. Certain personality traits may, however, influence the psychological distress experienced by individuals with AFs after WB-MRI exams.

LEVEL OF EVIDENCE: 2

TECHNICAL EFFICACY

Stage 5.

The characteristics and role of digital literacy in an effective health protection

The evolution of modern healthcare underscores the crucial question of societal priorities in development. When distributing finite healthcare resources, decision-makers must weigh numerous factors and navigate a range of sometimes conflicting criteria, including equity, access, fairness, and effectiveness. This chapter aims to survey the social implications of digital literacy as a pivotal element for the optimal advancement of P5 medicine, with the objective of enhancing healthcare services. The untapped potential of telemedicine and other emerging P5 technologies remains substantial in terms of their integration into routine medical practice. Adequate digital literacy among both healthcare providers and users stands as a vital prerequisite for the successful adoption and further evolution of these innovations. Coupled with improved health literacy, these factors collectively should contribute to the provision of superior healthcare services and consequently to the overall well-being of the populace.

Integration of persistence in the 5P-medicine approach for age-related chronic diseases

5P medicine is defined as Personalized, Predictive, Preventive, Participatory, and Population-based. 5P medicine may be improved by including a factor that could provide information about the therapeutic value of a particular drug treatment and measure its effectiveness in clinical practice. We propose that this factor may be treatment persistence, and that its addition to 5P medicine would allow to define a new improved 6P medicine. Persistence is the length of time between initiation and the last dose, which immediately precedes discontinuation, that is, a definitive suspension of the treatment. By including this sixth P, the persistence, we would be able to present the value of a treatment for each individual patient with its own characteristics, state of the disease, with more than one age-related diseases and patient journey. Persistence is a concept of the value of a treatment that includes the three main stakeholders of the pharmacotherapeutic process: Patient, Physician, and Pharmacist. Persistence is becoming a useful measure to evaluate the long-term effectiveness of therapies in real-world setting in chronic diseases. Drug treatments with longer persistence are more likely to provide better disease control and to be amenable to dose adjustment in order to optimize treatment cost in age-related chronic diseases. Long-term persistence could be a measure of a drug´s real-world performance and has been shown to aid in clinical decision-making.

The infant-doctor relationship: an examination of infants' distress reactions in the presence of a doctor

Fear of doctors is a common source of distress among infants; however, the underlying sources of this distress are unknown. To investigate the doctor-infant relationship, the behaviors of 61 healthy infants (176-617 days old) were observed in a simulated examination room. Their behaviors and electrocardiograms were recorded. Two groups of infants were analyzed: those who cried and those who did not. When an experimenter dressed in the doctor's attire entered the room, all 9 infants who were crying (14.8% of all infants) stopped crying, all infants gazed at the experimenter, and their mean heart rate (HR) decreased. After the auscultation started, 29.5% of all infants cried, and the HRs of infants who cried were higher than those of infants who did not cry. During the auscultation, 80.0% of infants who cried averted from the experimenter, while 34.4% of infants who did not cry. Within 5 s of gazing at the stethoscope, the number of infants who cried increased from 3 to 12, and their mean HR also increased. Our findings suggest that the fear of doctors is not due to the appearance of doctors but rather to specific actions performed by doctors, such as auscultation. Infants may regard a doctor's appearance as a source of interest. Furthermore, a stethoscope is a possible trigger for infants' crying. These behavioral observations suggest the potential for patient-centered care for infants.

Cognitive alterations and brain functional changes following chemotherapy treatment in breast cancer patients: A systematic review on resting-state fMRI studies

Cognitive dysfunctions and functional brain modifications are among the side effects reported by breast cancer patients that persist beyond the chemotherapy. This paper aims at synthesizing the evidence on cognitive and functional brain changes and their associations in breast cancer patients treated with chemotherapy. A systematic literature search was performed using PubMed, Ovid MEDLINE, Scopus, and Embase up to July 2022. Eligible studies evaluated adult women with breast cancer treated with systemic chemotherapy, that performed cognitive assessment and resting-state functional MRI. Methodological quality was assessed. Sixteen studies were included, with a total of 1054 female participants. All studies reported alterations mainly concerned the fronto-parieto-temporal system and specifically involved the disruption of the DMN. Consistent with these findings, BCPs showed changes in cognitive performance reporting dysfunctions in executive ability, memory, and attention. However, not all the studies found a significant association between functional brain alterations and cognitive dysfunction. Some limitations including lack of sample homogeneity and different methodological approaches were reported. This work highlighted the presence of cognitive dysfunctions and functional brain alteration in breast cancer patients treated with chemotherapy. This allows a greater awareness of the side effects, promoting better clinical management. However, further research is needed to investigate the cause-effect relationship between cognitive and functional alterations.

High residual cardiovascular risk after lipid-lowering: prime time for Predictive, Preventive, Personalized, Participatory, and Psycho-cognitive medicine

As time has come to translate trial results into individualized medical diagnosis and therapy, we analyzed how to minimize residual risk of cardiovascular disease (CVD) by reviewing papers on "residual cardiovascular disease risk". During this review process we found 989 papers that started off with residual CVD risk after initiating statin therapy, continued with papers on residual CVD risk after initiating therapy to increase high-density lipoprotein-cholesterol (HDL-C), followed by papers on residual CVD risk after initiating therapy to decrease triglyceride (TG) levels. Later on, papers dealing with elevated levels of lipoprotein remnants and lipoprotein(a) [Lp(a)] reported new risk factors of residual CVD risk. And as new risk factors are being discovered and new therapies are being tested, residual CVD risk will be reduced further. As we move from CVD risk reduction to improvement of patient management, a paradigm shift from a reductionistic approach towards a holistic approach is required. To that purpose, a personalized treatment dependent on the individual's CVD risk factors including lipid profile abnormalities should be configured, along the line of P5 medicine for each individual patient, i.e., with Predictive, Preventive, Personalized, Participatory, and Psycho-cognitive approaches.

Institutionalization of personalized medicine in India: analysis of research trends and government interventions

The biggest challenges that any country faces are affordability and accessibility of quality healthcare. Technological advancements can address these challenges. One such advancement is personalized medicine (PM). This paper discusses the implementation and institutionalization of PM. Using the sectoral innovation system framework, this work describes government interventions with research trends in PM in India. The Web of Science database was used to analyze research trends. Indian government-funded interventions to institutionalize PM were compiled and analyzed. Results suggest that India's healthcare sector is dynamic. The framework discusses some specifics, including the research network, boundaries and government initiatives to promote PM adoption. Based on the policy gaps, this paper further proposes an integrated policy framework for incorporating PM into India's healthcare system.

Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study

Background

Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient’s sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient’s ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled “Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back” or, in short, BOUNCE.

Objective

The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer.

Methods

A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model.

Results

The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022.

Conclusions

This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients’ needs, supported by eHealth technologies.

Trial Registration

ClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675

International Registered Report Identifier (IRRID)

DERR1-10.2196/34564

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study

Being diagnosed with breast cancer (BC) can be a traumatic experience for patients who may experience symptoms of depression. In order to facilitate the prevention of such symptoms, it is crucial to understand how and why depressive symptoms emerge and evolve for each individual, from diagnosis through treatment and recovery. In the present work, data from a multicentric study of 706 BC patients followed for 12 months are analyzed. First, a trajectory-based unsupervised clustering based on K-means is performed to capture the dynamic patterns of change in patients' depressive symptoms after BC diagnosis and to identify distinct trajectory clusters. Then a supervised learning approach was employed to build a classification model of depression progression and to identify potential predictors. Patients were clustered into 4 groups: stable low, stable high, improving, and worsening depressive symptoms. In a nested cross-validation pipeline, the performance of the Support Vector Machine model for discriminating between "good" and "poor" progression was 0.78±0.05 in terms of AUC. Several psychological variables emerged as highly predictive of the evolution of depressive symptoms with the most important ones being negative affectivity and anxious preoccupation. Clinical Relevance-The findings of the present study may help clinicians tailor individualized psychological interventions aiming at alleviating the burden of these symptoms in women with breast cancer and improving their overall well-being.

Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1

Breast cancer diagnosis has been associated with poor mental health, with significant impairment of quality of life. In order to ensure support for successful adaptation to this illness, it is of paramount importance to identify the most prominent factors affecting well-being that allow for accurate prediction of mental health status across time. Here we exploit a rich set of clinical, psychological, socio-demographic and lifestyle data from a large multicentre study of patients recently diagnosed with breast cancer, in order to classify patients based on their mental health status and further identify potential predictors of such status. For this purpose, a supervised learning pipeline using cross-sectional data was implemented for the formulation of a classification scheme of mental health status 6 months after diagnosis. Model performance in terms of AUC ranged from 0.81± 0.04 to 0.90± 0.03. Several psychological variables, including initial levels of anxiety and depression, emerged as highly predictive of short-term mental health status of women diagnosed with breast cancer.

Mobile 5P-Medicine Approach for Cardiovascular Patients

Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these patients. Our proposed system, described in this article, aims to develop innovative solutions based on artificial intelligence techniques to empower patients with cardiovascular disease. These solutions will realize a novel 5P (Predictive, Preventive, Participatory, Personalized, and Precision) medicine approach by providing patients with personalized plans for treatment and increasing their ability for self-monitoring. Such capabilities will be derived by learning algorithms from physiological data and behavioral information, collected using wearables and smart devices worn by patients with health conditions. Further, developing an innovative system of smart algorithms will also focus on providing monitoring techniques, predicting extreme events, generating alarms with varying health parameters, and offering opportunities to maintain active engagement of patients in the healthcare process by promoting the adoption of healthy behaviors and well-being outcomes. The multiple features of this future system will increase the quality of life for cardiovascular diseases patients and provide seamless contact with a healthcare professional.

Patient Preferences for Lung Cancer Treatments: A Study Protocol for a Preference Survey Using Discrete Choice Experiment and Swing Weighting

Background: Advanced treatment options for non-small cell lung cancer (NSCLC) consist of immunotherapy, chemotherapy, or a combination of both. Decisions surrounding NSCLC can be considered as preference-sensitive because multiple treatments exist that vary in terms of mode of administration, treatment schedules, and benefit–risk profiles. As part of the IMI PREFER project, we developed a protocol for an online preference survey for NSCLC patients exploring differences in preferences according to patient characteristics (preference heterogeneity). Moreover, this study will evaluate and compare the use of two different preference elicitation methods, the discrete choice experiment (DCE) and the swing weighting (SW) task. Finally, the study explores how demographic (i.e., age, gender, and educational level) and clinical (i.e., cancer stage and line of treatment) information, health literacy, health locus of control, and quality of life may influence or explain patient preferences and the usefulness of a digital interactive tool in providing information on preference elicitation tasks according to patients.

Methods: An online survey will be implemented with the aim to recruit 510 NSCLC patients in Belgium and Italy. Participants will be randomized 50:50 to first receive either the DCE or the SW. The survey will also collect information on participants' disease-related status, health locus of control, health literacy, quality of life, and perception of the educational tool.

Discussion: This protocol outlines methodological and practical steps to quantitatively elicit and study patient preferences for NSCLC treatment alternatives. Results from this study will increase the understanding of which treatment aspects are most valued by NSCLC patients to inform decision-making in drug development, regulatory approval, and reimbursement. Methodologically, the comparison between the DCE and the SW task will be valuable to gain information on how these preference methods perform against each other in eliciting patient preferences. Overall, this protocol may assist researchers, drug developers, and decision-makers in designing quantitative patient preferences into decision-making along the medical product life cycle.

Personalized, Predictive, Participatory, Precision, and Preventive (P5) Medicine in Rotator Cuff Tears

Rotator cuff (RC) disease is a common musculoskeletal disorder of the shoulder entailing pain, with reduced functionality and quality of life. The main objective of this study was to present a perspective of the current scientific evidence about personalized, predictive, participatory, precision, and preventive approaches in the management of RC diseases. The personalized, predictive, participatory, precision and preventive (P5) medicine model is an interdisciplinary and multidisciplinary approach that will provide researchers and clinicians with a comprehensive patrimony of knowledge in the management of RC diseases. The ability to define genetic predispositions in conjunction with the evaluation of lifestyle and environmental factors may boost the tailoring of diagnosis and therapy in patients suffering from RC diseases.

A meta-analysis on heart rate variability biofeedback and depressive symptoms

Heart rate variability biofeedback (HRVB) has been used for a number of years to treat depressive symptoms, a common mental health issue, which is often comorbid with other psychopathological and medical conditions. The aim of the present meta-analysis is to test whether and to what extent HRVB is effective in reducing depressive symptoms in adult patients. We conducted a literature search on Pubmed, ProQuest, Ovid PsycInfo, and Embase up to October 2020, and identified 721 studies. Fourteen studies were included in the meta-analysis. Three meta-regressions were also performed to further test whether publication year, the questionnaire used to assess depressive symptoms, or the interval of time between T0 and T1 moderated the effect of HRVB. Overall, we analysed 14 RCTs with a total of 794 participants. The random effect analysis yielded a medium mean effect size g = 0.38 [95% CI = 0.16, 0.60; 95% PI =  - 0.19, 0.96], z = 3.44, p = 0.0006. The total heterogeneity was significant, QT = 23.49, p = 0.03, I2 = 45%, which suggested a moderate variance among the included studies. The year of publication (χ2(1) = 4.08, p = 0.04) and the questionnaire used to assess symptoms (χ2(4) = 12.65, p = 0.01) significantly moderated the effect of the interventions and reduced heterogeneity. Overall, results showed that HRVB improves depressive symptoms in several psychophysiological conditions in adult samples and should be considered as a valid technique to increase psychological well-being.

Polygenic risk scores in the clinic: new perspectives needed on familiar ethical issues

Clinical use of polygenic risk scores (PRS) will look very different to the more familiar monogenic testing. Here we argue that despite these differences, most of the ethical, legal, and social issues (ELSI) raised in the monogenic setting, such as the relevance of results to family members, the approach to secondary and incidental findings, and the role of expert mediators, continue to be relevant in the polygenic context, albeit in modified form. In addition, PRS will reanimate other old debates. Their use has been proposed both in the practice of clinical medicine and of public health, two contexts with differing norms. In each of these domains, it is unclear what endpoints clinical use of PRS should aim to maximize and under what constraints. Reducing health disparities is a key value for public health, but clinical use of PRS could exacerbate race-based health disparities owing to differences in predictive power across ancestry groups. Finally, PRS will force a reckoning with pre-existing questions concerning biomarkers, namely the relevance of self-reported race, ethnicity and ancestry, and the relationship of risk factors to disease diagnoses. In this Opinion, we argue that despite the parallels to the monogenic setting, new work is urgently needed to gather data, consider normative implications, and develop best practices around this emerging branch of genomics.

The Need of Personalized Medicine in Coping with Stress during Infertility Treatment

The term personalized medicine was created for oncological patients, but due to its positive clinical results it is now used in many other fields of medicine, including reproductive medicine. The aim of the study was to determine the level of stress and strategies of coping with stress in patients treated for infertility. The study—using a questionnaire developed by the authors, the Perceived Stress Scale-10 (PSS-10), and the Coping Orientation to Problems Experienced Inventory (Mini-COPE)—was conducted among 456 people from infertile couples. Conclusions: More than half of the studied patients demonstrated a high level of stress. The choice of coping strategies was related to the respondents’ gender and level of stress as well as their experience with assisted reproductive technology.

Opportunities and Challenges of Web-Based and Remotely Administered Surveys for Patient Preference Studies in a Vulnerable Population

The application of web-based and remotely administered surveys is becoming increasingly popular due to the fact that it offers numerous advantages over traditional paper-based or computer-based surveys completed in the presence of the researcher. However, it is unclear whether complex preference elicitation tasks administered online in highly vulnerable patient populations are also feasible. This commentary discusses opportunities and challenges of conducting quantitative patient preference studies in lung cancer patients using web-based modes of data collection. We refer to our recent experience in the context of the Patient Preference in Benefit-Risk Assessments during the Drug Life Cycle (PREFER) project. Among the main advantages were the possibility of reaching a wider and geographically distant population in a shorter timeframe while reducing the financial costs of testing, the greater flexibility offered and the reduced burden on the patients. Some limitations were also identified and should be the object of further research, including the potential lack of inclusiveness of the research, the lack of control over who is completing the survey, a poor comprehension of the study material, and ultimately a lower level of engagement with the study. Despite these limitations, experience from the PREFER project suggests that online quantitative methods for data collection may provide a valuable method to explore preferences in vulnerable patient populations beyond the COVID-19 pandemic.

Fertility preservation in women affected by gynaecological cancer: the importance of an integrated gynaecological and psychological approach

Gynaecological cancer treatment significantly affects the fertility of women in reproductive age. Surgery, chemotherapy and radiotherapy are the mainstays of ovarian, cervical and endometrial cancers and anatomically or functionally impact the uterus and ovaries. Moreover, the sexual function and psychological wellbeing of patients are highly weakened after a cancer diagnosis: depression, anxiety and impairment of quality of life represent a relevant concern for patient care. The potential loss of fertility could be more distressing than cancer itself. For this reason, it is of paramount importance to try to preserve fertility in women affected by gynaecological cancers. Recently, tailored fertility preservation therapies have been developed to meet the childbearing demand from more than half of women between 18 and 40 years with a diagnosis of cancer. Currently, fertility preservation techniques play a significant role in improving the quality of life of women with gynaecological cancer. In this scenario, we propose a narrative overview of the recent literature about the importance of a multidisciplinary approach in the management of fertility preservation in the case of gynaecological cancers.

Propelling Health Care into the Twenties

The scope and potential of personalised health care are underappreciated and underrealised, often because of resistance to change. The consequence is that many inadequacies of health care in Europe persist unnecessarily, and many opportunities for improvement are neglected. This article identifies the principal challenges, outlines possible approaches to resolving them, and highlights the benefits that could result from greater adoption of personalised health care. It locates the discussion in the context of European policy, focusing particularly on the most recent and authoritative reviews of health care in the EU Member States, and on the newly acquired spirit of readiness and pragmatism among European officials to embrace change and innovative technologies in a new decade. It highlights the attention now being given by policymakers to incentives, innovation, and investment as levers to improve European citizens' prospects in a rapidly evolving world, and how these distinct and disruptive themes contribute to a renaissance in thinking about delivering optimal health care in Europe. It explores the chances offered to patients by specific initiatives in health domains such as cancer and antimicrobial resistance, and by innovative science, novel therapies, earlier diagnosis tools, and deeper understanding of health promotion and prevention. And it reflects on how health care providers could benefit from a shift towards better primary care and towards deploying health data more effectively, including the use of artificial intelligence, coupled with a move to a smoother organisational/regulatory structure and realigned professional responsibilities. The conclusion is that preparing Europe's health care systems for the inevitable strains of the coming years is both possible and necessary. A more courageous approach to embracing personalised health care could guarantee the sustainability of Europe's health care systems before rising demands and exponential costs overwhelm them - an exercise in future-proofing, in ensuring that they are equipped to withstand whatever lies ahead. A focus on the potential and implementation of personalised care would permit more efficient use of resources and deliver better quality health-preserving care.

Patients' health locus of control and preferences about the role that they want to play in the medical decision-making process

Health locus of control (HLOC) may influence people's behavior regarding their health as well as their desires to be involved in the medical decision-making. Our study aimed to examine HLOC's relations with people's control preferences about the medical decision-making. A total of 153 people filled out the self-administered version of the Control Preference Scale and the Multidimensional Health Locus of Control Scale - form C. The most preferred role is the collaborative one. However, HLOC explained heterogeneity in people's control preferences: lower scores in external HLOC were related to a greater preference for the active and the collaborative role. From the personalized medicine perspective, an accurate evaluation of the patient's HLOC could help tailoring the decision-making process within the clinical context.

Breast implant-associated anaplastic large cell lymphoma: emotional impact and guidelines for psychological support

PURPOSE

During the last two decades, the number of breast implants used in aesthetic, oncologic, and risk-reducing surgery has increased substantially mainly due to the improvement and confirmed safety of these devices. Since the identification of the first case of anaplastic large cell lymphoma associated with a breast implant (BIA-ALCL) 20 years ago, there has been an increase in the number of reports of this very rare disease, demonstrating a clear association with breast implants. While the majority of cases are localized and cured by implant removal and full capsulectomy, a small percentage require chemotherapy and the mortality rate is very low. Nevertheless, the evidence linking BIA-ALCL to implant surface texturing has raised concerns about the long-term safety of these devices resulting in patient and regulatory authority concerns globally.

METHODS AND RESULTS

In this commentary, we report the current debate on BIA-ALCL and the main European government's actions, with a special focus on the emotional impact that media coverage has on cancer patients. We comment the emotional impact of such risk for patients with breast implant, the hard process of patient's acceptance for mastectomy and reconstructive surgery, and how this is an essential part of recovery and return to the normal living for many women.

CONCLUSION

We conclude by providing guidelines for patient-physician communication and patients' psychological support on this topic of delicate actuality. Our contribution aims at guiding the medical community in managing risk communication about BIA-ALCL with a multidisciplinary approach, according to the most recently available published evidence.

Breast implant-associated anaplastic large cell lymphoma: A comprehensive review

Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a recently recognized non-Hodgkin lymphoma of T-cell origin. Despite the low incidence of this new disease, the increasing use of breast implants for cosmetic or post-mastectomy reconstruction purposes places BIA-ALC as an emerging and compelling medical challenge. The real BIA-ALCL pathogenesis has not been fully uncovered so far, while different putative causal factors have been proposed. Breast implants with textured surfaces seem to be associated with nearly all cases of BIA-ALCL, while the real the risk of disease development has not been well estimated so far. Late onset, persistent seroma around breast implant represents the classical clinical presentation. Most of the BIA-ALCL patients presents with localized disease, which confers an excellent prognosis. Unlike other non-Hodgkin lymphomas, surgical excision of the mass has a key role in the treatment. For patients with advanced and disseminated diseases, the treatment did not differ from other types of T-cell lymphoma. For these reasons, BIA-ALCL represents an emerging disease which requires multidisciplinary team approach to well define diagnostic workup and treatment for each patient. This review article aims to summarize available data on BIA-ALCL. First, we will outline available data on BIA-ALCL epidemiology, pathogenesis, diagnostic work-up, and treatment. Second, we will point out the potential psychological implications as well as the risk of perception distortion for women with breast implants, especially for those with previous breast cancer. Lastly, we will summarize the current national recommendations regarding textured breast implants and discuss the diagnostic-therapeutic algorithm for BIA-ALCL management.

Image-Guided Thermal Ablation as an Alternative to Surgery for Papillary Thyroid Microcarcinoma: Preliminary Results of an Italian Experience

PURPOSE

To report the results of our preliminary experience in treating patients with papillary thyroid microcarcinoma (PTMC) with image-guided thermal ablation, in particular estimating the feasibility, safety and short-term efficacy.

MATERIALS AND METHODS

From 2018 patients with cytologically proven PTMC < 10 mm were discussed in a multidisciplinary team and evaluated for feasibility of image-guided thermal ablation. In case of technical feasibility, the three possible alternatives (i.e., image-guided thermal ablation, surgery, and active surveillance) were discussed with patients. Patients who agreed to be treated with image guided thermal ablation underwent radiofrequency (RFA) or laser ablation under local anesthesia and conscious sedation. Treatment feasibility, technical success, technique efficacy, change in thyroid function tests, side effects, minor and major complications, patients satisfaction and pain/discomfort perception during and after treatment, and disease recurrence during follow-up were recorded.

RESULTS

A total of 13 patients were evaluated, and 11/13 (84.6%) patients (9 female, 2 male, mean age 49.3 ± 8.7 years) resulted suitable for image-guided thermal ablation. All 11 patients agreed to be treated with image-guided thermal ablation. In addition, 3/11 (27.3%) were treated with laser ablation and 8/11 (72.7%) with RFA. All procedures were completed as preoperatively planned (technical success 100%). Technique efficacy was achieved in all 11/11 (100%) cases. Ablated volume significantly reduced from 0.87 ± 0.67 ml at first follow-up to 0.17 ± 0.36 at last follow-up (p = 0.003). No change in thyroid function tests occurred. No minor or major complications occurred. All patients graded 10 the satisfaction for the treatment, and mean pain after the procedure was reported as 1.4 ± 1.7, and mean pain after the procedure as 1.2 ± 1.1 At a median follow-up of 10.2 months (range 1.5-12 months), no local recurrence or distant metastases were found.

CONCLUSIONS

Image guided thermal ablations appear to be feasible and safe in the treatment of PTMC. These techniques hold the potential to offer patients a minimally invasive curative alternative to surgical resection or active surveillance. These techniques appear to be largely preferred by patients.

Dimensionality and Measurement Invariance of the Italian Version of the EORTC QLQ-C30 in Postoperative Lung Cancer Patients

Background

This study aims to validate and evaluate the psychometric properties and measurement invariance of the Italian version of the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core 30 (QLQ-C30), which is a measure of quality of life (QoL) for lung cancer patients after surgery.

Methods

A total of 167 lung cancer patients completed the Italian version of the EORTC QLQ-C30 questionnaire at 30 days after they received a lobectomy. The factor structure of this scale was assessed by performing confirmatory factor analysis (CFA). Measurement invariance was evaluated by considering differential item functioning (DIF) due to age, gender, and type of surgery (i.e., robot- or not robot-assisted).

Results

The CFA demonstrated the validity of the factor structure of the EORTC QLQ-C30 in assessing overall health and eight distinct subscales of adverse events and functioning. Moreover, the results highlighted a minimal DIF with only trivial consequences on measurement invariance. Specifically, the DIF did not affect the mean differences of latent scores of QoL between patients undergoing robot-assisted surgery or traditional surgery.

Conclusion

These findings supported the validity and suitability of the EORTC QLQ-C30 for the assessment of QoL in lung cancer patients of diverse ages and genders undergoing lobectomy with or without robot-assisted surgery.

Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature

The main objective of this work is to provide a review of existing research work into predictive, personalized, preventive and participatory medicine in telemedicine and ehealth. The academic databases used for searches are IEEE Xplore, PubMed, Science Direct, Web of Science and ResearchGate, taking into account publication dates from 2010 up to the present day. These databases cover the greatest amount of information on scientific texts in multidisciplinary fields, from engineering to medicine. Various search criteria were established, such as ("Predictive" OR "Personalized" OR "Preventive" OR "Participatory") AND "Medicine" AND ("eHealth" OR "Telemedicine") selecting the articles of most interest. A total of 184 publications about predictive, personalized, preventive and participatory (4P) medicine in telemedicine and ehealth were found, of which 48 were identified as relevant. Many of the publications found show how the P4 medicine is being developed in the world and the benefits it provides for patients with different illnesses. After the revision that was undertaken, it can be said that P4 medicine is a vital factor for the improvement of medical services. It is hoped that one of the main contributions of this study is to provide an insight into how P4 medicine in telemedicine and ehealth is being applied, as well as proposing outlines for the future that contribute to the improvement of prevention and prediction of illnesses.

Predicting trajectories of recovery in prostate cancer patients undergone Robot-Assisted Radical Prostatectomy (RARP)

OBJECTIVE

To identify trends of patients' urinary and sexual dysfunctions from a clinical and psychological perspective and understand whether sociodemographic and medical predictors could differentiate among patients following different one-year longitudinal trajectories.

METHODS

An Italian sample of 478 prostate cancer patients undergone Robot-Assisted Radical Prostatectomy completed the EPIC-26 survey between July 2015 and July 2016 at the pre-hospitalization (T0), 45 days (T1) and 3 (T2), 6 (T3), 9 (T4), and 12 months (T5) after surgery. Sociodemographic and clinical characteristics (age, BMI, diabetes, nerve-sparing procedure) were also collected. Latent Class Growth Analysis was conducted separately for sexual dysfunction and urinary incontinence EPIC-26 subscales. The association between membership in the two longitudinal trajectories of urinary and sexual dysfunctions was assessed by considering Chi-square test and its related contingency table.

RESULTS

People who have a high level of urinary incontinence at T1 are likely to have a worse recovery. Age, BMI and pre-surgical continence may affect the level of incontinence at T1 and the recovery trajectories. Patients with low and moderate sexual problems at T1 can face a moderate linear recovery, while people with high level of impotence immediately after surgery may take a longer period to solve sexual dysfunctions. Age and the pre-surgical sexual condition may impact the recovery. Finally, a great proportion of patients reported both steady problems in sexual function and constant high levels of urinary incontinence over time.

CONCLUSIONS

This study highlights different categories of patients at risk who may be important to know in order to develop personalized medical pathways and predictive models in a value-based healthcare.

A P5 Approach to m-Health: Design Suggestions for Advanced Mobile Health Technology

In recent years, technology has been developed as an important resource for health care management, especially in regard to chronic conditions. In the broad field of eHealth, mobile technology (mHealth) is increasingly used to empower patients not only in disease management but also in the achievement of positive experiences and experiential growth. mHealth tools are considered powerful because, unlike more traditional Internet-based tools, they allow patients to be continuously monitored and followed by their own mobile devices and to have continual access to resources (e.g., mobile apps or functions) supporting health care management activities. However, the literature has shown that, in many cases, such technology not accepted and/or adopted in the long term by its users. To address this issue, this article reviews the main factors influencing mHealth technology acceptance/adoption in health care. Finally, based on the main aspects emerging from the review, we propose an innovative approach to mHealth design and implementation, namely P5 mHealth. Relying on the P5 approach to medicine and health care, this approach provides design suggestions to address mHealth adoption issues already at the initial stages of development of the technologies.

Physician-Specific Maximum Acceptable Risk in Personalized Medicine: Implications for Medical Decision Making

BACKGROUND

In discrete-choice experiments (DCEs), respondents are presented with a series of scenarios and asked to select their preferred choice. In clinical decision making, DCEs allow one to calculate the maximum acceptable risk (MAR) that a respondent is willing to accept for a one-unit increase in treatment efficacy. Most published studies report the average MAR for the whole sample, without conveying any information about heterogeneity. For a sample of psychiatrists prescribing drugs for a series of hypothetical patients with schizophrenia, this article demonstrates how heterogeneity accounted for in the DCE modeling can be incorporated in the derivation of the MAR.

METHODS

Psychiatrists were given information about a group of patients' responses to treatment on the Positive and Negative Syndrome Scale (PANSS) and the weight gain associated with the treatment observed in a series of 26 vignettes. We estimated a random parameters logit (RPL) model with treatment choice as the dependent variable.

RESULTS

Results from the RPL were used to compute the MAR for the overall sample. This was found to be equal to 4%, implying that, overall, psychiatrists were willing to accept a 4% increase in the risk of an adverse event to obtain a one-unit improvement of symptoms - measured on the PANSS. Heterogeneity was then incorporated in the MAR calculation, finding that MARs ranged between 0.5 and 9.5 across the sample of psychiatrists.

LIMITATIONS

We provided psychiatrists with hypothetical scenarios, and their MAR may change when making decisions for actual patients.

CONCLUSIONS

This analysis aimed to show how it is possible to calculate physician-specific MARs and to discuss how MAR heterogeneity could have implications for medical practice.

For the Many, Not the Few: Patient Empowerment

Today's patients are more knowledgable than ever before and should be placed at the centre of their own healthcare decisions. Empowering the patient is, and always will be, a fundamental pillar of personalised medicine. Front-line healthcare professionals cannot treat a patient properly without taking into account his or her perceptions of value. They cannot treat a patient properly without taking into account that patient's lifestyle and, of course, they cannot treat a patient properly without creating equal access across the EU to the best possible treatments available. The authors of this article examine ways to enhance the empowerment of Europe's patients.

Building Eminence through Evidence

With modern-day medicine going the way it is - new developments, great science, the advent of personalised medicine and more - there's little doubt that healthcare can move in the right direction if everything is put in place to allow it to do so. But in many areas progress is being halted. Or at the very least slowed. Like it or not, many front-line healthcare professionals still do things the way they did things three decades ago, and are reluctant to adapt to new methods (assuming they are aware of them). Evidence exists that today's rapidly developing new medicines and treatments can positively influence healthcare in modern-day Europe, but a gap in education (also applying to patients and politicians), often exacerbated by “fake news” on the internet, is hampering uptake of new and often better methods, while even causing doubts about vaccines. More understanding at every level will inevitably lead to swifter integration of innovation into the healthcare systems of Europe. The time to look, listen and learn has come.

Memories of paternal relations are associated with coping and defense mechanisms in breast cancer patients: an observational study

BACKGROUND

Breast cancer diagnosis and treatment represent stressful events that demand emotional adjustment, thus recruiting coping strategies and defense mechanisms. As parental relations were shown to influence emotion regulation patterns and adaptive processes in adulthood, the present study investigated whether they are specifically associated to coping and defense mechanisms in patients with breast cancer.

METHODS

One hundred and ten women hospitalized for breast cancer surgery were administered questionnaires assessing coping with cancer, defense mechanisms, and memories of parental bonding in childhood.

RESULTS

High levels of paternal overprotection were associated with less mature defenses, withdrawal and fantasy and less adaptive coping mechanisms, such as hopelessness/helplessness. Low levels of paternal care were associated with a greater use of repression. No association was found between maternal care, overprotection, coping and defense mechanisms. Immature defenses correlated positively with less adaptive coping styles, while mature defenses were positively associated to a fighting spirit and to fatalism, and inversely related to less adaptive coping styles.

CONCLUSIONS

These data suggest that paternal relations in childhood are associated with emotional, cognitive, and behavioral regulation in adjusting to cancer immediately after surgery. Early experiences of bonding may constitute a relevant index for adaptation to cancer, indicating which patients are at risk and should be considered for psychological interventions.

How Do Patients Experience Individualized Medicine? A Qualitative Interview-based Study of Gene Expression Analyses in the Treatment of Breast Cancer

INTRODUCTION

In recent years, the hopes and expectations associated with so-called individualized medicine have been the subject of intense debate as has the medical potential of this approach. Questions about the uses of gene expression analyses for decisions on adjuvant systemic treatment options for patients with breast cancer have played a prominent role in this debate. There are a number of empirical studies on the effect of gene expression tests on the therapy decisions of physicians and the potentially conflicted decisions for patients. Very little attention has been paid to how patients perceive such approaches, the extent to which they feel included in the therapy decision, and the expectations they associate with such an approach.

MATERIAL AND METHODS

Using qualitative explorative interviews, the study looked at how well patients with breast cancer understood the individualized treatment approaches and examined patients' experiences and expectations with regard to gene expression analyses. The sample consisted of 8 patients who were diagnosed with primary hormone receptor-positive, HER2-negative breast cancer between 2013 and 2014 and who underwent gene expression analyses as part of their adjuvant therapy planning.

RESULTS

Patients were found to have a quite realistic view of the benefits of gene expression analyses, although it also became clear that the treatment could also raise false hopes. The statements by the interviewed women also illustrated the necessity of continuing to explore the possibilities and limits to joint decision-making in such complex medical contexts as individualized molecular genomic medicine. And finally, the interviews reflected the hope for individualized treatment in the broadest sense of the word.

CONCLUSION

The results of the study highlight the challenge of taking psychosocial aspects of medical treatment sufficiently into consideration, given the ever increasing options for molecular genomic individualization.

A Qualitative Investigation on Patient Empowerment in Prostate Cancer

Purpose: Men with prostate cancer often describe low levels of empowerment. eHealth interventions may represent useful tools to deliver care and education and to meet patients' needs within an empowerment framework. In order to design a platform for cancer patients' empowerment within the H2020 iManageCancer project, the perspective of the target population for the platform was assessed. The present study aims to assess the qualitative experience of prostate cancer patients during treatment in order to provide insights for clinical practice with a particular focus on the design of a web platform to promote cancer patients' empowerment.

Methods: Ten patients undergoing radiation therapy treatment took part in a semi-structured interview to explore different aspects of patient empowerment. Four main thematic areas were addressed: patient-healthcare providers' communication, decision-making, needs, and resources. A qualitative approach using thematic analysis was followed.

Results: Half of the patients reported little to no possibility to share information and questions with healthcare providers. With regards to decision-making, the role of healthcare providers was perceived as directive/informative, but half of the patients perceived to assume an active role in at least one interaction. Difficulties and needs included the choice of the specialist or of the structure after diagnosis, clinicians' support in self-management, surgical consequences, and side effects, preparation for radiation therapy. Resources included family and social support both from a practical and from an emotional perspective, coping style, and work schedule management.

Conclusions: These results suggest that relations with healthcare providers should be supported, especially immediately after diagnosis and after surgery. Support to self-management after surgery and at the beginning of radiation therapy treatment also constitutes a priority. The adoption of a personalized approach from the beginning of prostate cancer care flow may promote patient empowerment, overcoming the aforementioned needs and mobilizing resources. The social network represents an important resource that could be integrated in interventions. These considerations will be taken into account in the design of a cancer self-management platform aiming to increase patients' empowerment.

Value as the key concept in the health care system: how it has influenced medical practice and clinical decision-making processes

In the last 10 years, value has played a key role in the health care system. In this concept, innovations in medical practice and the increasing importance of patient centeredness have contributed to draw the attention of the medical community. Nonetheless, a large consensus on the meaning of "value" is still lacking: patients, physicians, policy makers, and other health care professionals have different ideas on which component of value may play a prominent role. Yet, shared clinical decision-making and patient empowerment have been recognized as fundamental features of the concept of value. Different paradigms of health care system embrace different meanings of value, and the absence of common and widely accepted definition does not help to identify a unique model of care in health care system. Our aim is to provide an overview of those paradigms that have considered value as a key theoretical concept and to investigate how the presence of value can influence the medical practice. This article may contribute to draw attention toward patients and propose a possible link between health care system based on "value" and new paradigms such as patient-centered system (PCS), patient empowerment, and P5 medicine, in order to create a predictive, personalized, preventive, participatory, and psycho-cognitive model to treat patients. Indeed, patient empowerment, value-based system, and P5 medicine seem to shed light on different aspects of a PCS, and this allows a better understanding of people under care.

Perceived utility of an integrated psychological intervention for gynaecological cancer patients admitted for surgery: preliminary data

OBJECTIVE

To investigate patients' satisfaction and perceived utility for psychological consultations delivered by clinical psychologists in a sample of gynaecological cancer patients hospitalised for surgery.

METHODS

A total of 51 gynaecological cancer patients who scored higher than four on the distress thermometer (DT) were proposed and received a psychological consultation during hospitalisation for surgery. After six months from discharge, patients were asked, during a telephone interview, to rate their level of distress post-treatment, their perceived satisfaction, and usefulness of the psychological intervention received.

RESULTS

At the time of the telephone interview, the distress levels stated by patients tended to be lower than those at hospital admission, and around 61% of the patients expressed maximum satisfaction with psychological intervention. Among these, 60.8% rated the psychological consultation useful for dealing with the hospitalisation itself, 45.1% useful for dealing with personal issues and 58.8% for dealing with issues related to returning home. People who were at their first diagnosis and those who had no other reason to be distressed beyond their cancer found psychological support significantly more useful for facing up to personal issues.

CONCLUSIONS

Patients are highly satisfied with integrative psychological interventions delivered by clinical psychologists in a medical setting such as that of gynaecological cancer surgery and from the six-month follow-up, it emerged that such interventions help in promoting patients' adjustment to the phase of hospitalisation and post-hospital discharge.

Psychological impact of fertility preservation techniques in women with gynaecological cancer

Gynaecological cancer is a very stressful experience for women and treatments can compromise fertility and reproductive capacity. Fertility preservation techniques in women with gynaecological cancer can play an important role in improving the quality of life of these patients but, in many cases, the information about this type of treatment is not adequate. It is important to further investigate this topic in order to reduce the impact of gynaecological cancer on the quality of life of survivors as much as possible.

Multimorbidity, P4 medicine and holism

RATIONALE, AIMS AND OBJECTIVES

Multimorbidity is a serious challenge to providing patients with quality health care. Sturmberg et al. propose a P4 or whole-person medical model based on a holistic approach to deliver such care. The aim of this commentary is to examine critically their P4 model and holistic approach.

METHODS

The P4 model and holistic approach of Sturmberg et al. are analysed conceptually in terms of an effective strategy or sequence for framing P4 medicine and with respect to different philosophical notions of holism for grounding it.

RESULTS

Instead of a P4 medicine strategy or sequence that emphasizes the predictive and preventive aspects of health care from a biomedical perspective, as Sturmberg et al. do, a more effective strategy or sequence for framing P4 medicine to deliver quality health care is to accentuate the personalized and participatory aspects from a humanistic perspective. The basis of this proposed strategy for P4 medicine is not a technoscientific holism that emphasizes mechanisms to define the whole utilizing bottom-up causation, as Sturmberg et al. ground their biomedical P4 model, but rather a phenomenological holism that also incorporates the person's illness experience and top-down causation.

CONCLUSIONS

The proposal of Sturmberg et al. to treat patient multimorbidity through P4 medicine and a holistic approach is certainly a move in the right direction. However, to achieve their goal requires an alternative strategy for P4 medicine and a more robust notion of holism.

A web-based interactive tool to improve breast cancer patient centredness

The uniqueness of a patient as determined by the integration of clinical data and psychological aspects should be the aspired aim of a personalized medicine approach. Nevertheless, given the time constraints usually imposed by the clinical setting, it is not easy for physicians to collect information about the patient’s unique mental dimensions and needs related to her illness. Such information may be useful in tailoring patient–physician communication, improving the patient’s understanding of provided information, her involvement in the treatment process, and in general her empowerment during and after the therapeutic journey. The primary objective of this study is to evaluate the effect of an interactive empowerment tool (IEm) on enhancing the breast cancer patient–physician experience, in terms of increasing empowerment, i.e. by providing physicians with a personalised patient’s profile, accompanied by specific recommendations to advise them how to interact with each individual patient on the basis of her personal profile.

The study will be implemented as a two-arm randomised controlled trial with 100 adult breast cancer patients who fill in the ALGA-BC questionnaire, a computerised validated instrument to evaluate the patient’s physical and psychological characteristics following a breast cancer diagnosis. The IEm tool will collect and analyse the patient’s answers in real time and send them, together with specific recommendations to the physician’s computer immediately before physician’s first encounter with the patient. Patients will be randomised to either the intervention group using the IEm tool or to a control group who will only fill in the questionnaire without taking advantage of the tool (physicians will not receive the patient’s profile).

The proposed approach is supposed to improve the patient–physician communication leading to increased patient participation in the therapeutic process as a consequence leading to improvement in patient empowerment and personalisation of care.

Conceptual and terminological confusion around personalised medicine: a coping strategy

BACKGROUND

The idea of personalised medicine (PM) has gathered momentum recently, attracting funding and generating hopes as well as scepticism. As PM gives rise to differing interpretations, there have been several attempts to clarify the concept. In an influential paper published in this journal, Schleidgen and colleagues have proposed a precise and narrow definition of PM on the basis of a systematic literature review. Given that their conclusion is at odds with those of other recent attempts to understand PM, we consider whether their systematic review gives them an edge over competing interpretations.

DISCUSSION

We have found some methodological weaknesses and questionable assumptions in Schleidgen and colleagues' attempt to provide a more specific definition of PM. Our perplexities concern the lack of criteria for assessing the epistemic strength of the definitions that they consider, as well as the logical principles used to extract a more precise definition, the narrowness of the pool from which they have drawn their empirical data, and finally their overlooking the fact that definitions depend on the context of use. We are also worried that their ethical assumption that only patients' interests are legitimate is too simplistic and drives all other stakeholders' interests-including those that are justifiable-underground, thus compromising any hope of a transparent and fair negotiation among a plurality of actors and interests.

CONCLUSION

As an alternative to the shortcomings of attempting a semantic disciplining of the concept we propose a pragmatic approach. Rather than considering PM to be a scientific concept in need of precise demarcation, we look at it as an open and negotiable concept used in a variety of contexts including at the level of orienting research goals and policy objectives. We believe that since PM is still more an ideal than an achieved reality, a plurality of visions is to be expected and we need to pay attention to the people, reasons and interests behind these alternative conceptions. In other words, the logic and politics of PM cannot be disentangled and disagreements need to be tackled addressing the normative and strategic conflicts behind them.

The choice dilemma in chronic hematological conditions: Why choosing is not only a medical issue? A psycho-cognitive perspective

Research in cognitive psychology focused on risk perception and decision making was shown to facilitate treatment choice and patient's satisfaction with decision in a number of medical conditions, increasing perceived alliance between patient and physician, and adherence to treatment. However, this aspect has been mostly neglected in the literature investigating choice of treatment for chronic hematological conditions. In this paper, a patient centered model and a shared decision making (SDM) approach to treatment switch in chronic hematological conditions, in particular chronic myeloid leukemia, atrial fibrillation, and β-thalassemia is proposed. These pathologies have a series of implications requiring important decisions about new available treatments. Although new generation treatments may provide a significant improvement in patient's health and health-related quality of life (HrQoL), a significant percentage of them is uncertain about or refuse treatment switch, even when strongly suggested by healthcare guidelines. Possible cognitive and emotional factors which may influence decision making in this field and may prevent appropriate risk-and-benefits evaluation of new treatment approaches are reviewed. Possible adaptive strategies to improve quality of care, patient participation, adherence to treatment and final satisfaction are proposed, and implications relatively to new treatment options available are discussed.

Decision-Making Process Related to Participation in Phase I Clinical Trials: A Nonsystematic Review of the Existing Evidence

Due to the lack of other treatment options, patient candidates for participation in phase I clinical trials are considered the most vulnerable, and many ethical concerns have emerged regarding the informed consent process used in the experimental design of such trials. Starting with these considerations, this nonsystematic review is aimed at analyzing the decision-making processes underlying patients' decision about whether to participate (or not) in phase I trials in order to clarify the cognitive and emotional aspects most strongly implicated in this decision. Considering that there is no uniform decision calculus and that many different variables other than the patient-physician relationship (including demographic, clinical, and personal characteristics) may influence patients' preferences for and processing of information, we conclude that patients' informed decision-making can be facilitated by creating a rigorously developed, calibrated, and validated computer tool modeled on each single patient's knowledge, values, and emotional and cognitive decisional skills. Such a tool will also help oncologists to provide tailored medical information that is useful to improve the shared decision-making process, thereby possibly increasing patient participation in clinical trials.

BREATH: Web-Based Self-Management for Psychological Adjustment After Primary Breast Cancer--Results of a Multicenter Randomized Controlled Trial

PURPOSE

Early breast cancer survivors (BCSs) report high unmet care needs, and easily accessible care is not routinely available for this growing population. The Breast Cancer E-Health (BREATH) trial is a Web-based self-management intervention to support the psychological adjustment of women after primary treatment, by reducing distress and improving empowerment.

PATIENTS AND METHODS

This multicenter, randomized, controlled, parallel-group trial evaluated whether care as usual (CAU) plus BREATH is superior to CAU alone. BREATH is delivered in sixteen fully automated weekly modules covering early survivorship issues. Two to 4 months post-treatment, BCSs were randomly assigned to receive CAU + BREATH (n = 70) or CAU alone (n = 80) using a stratified block design (ratio 1:1). Primary outcomes were distress (Symptom Checklist-90) and empowerment (Cancer Empowerment Questionnaire), assessed before random assignment (baseline, T0) and after 4 (T1), 6 (T2), and 10 months (T3) of follow-up. Statistical (analysis of covariance) and clinical effects (reliable change index) were tested in an intention-to-treat analysis (T0 to T1). Follow-up effects (T0 to T3) were assessed in assessment completers.

RESULTS

CAU + BREATH participants reported significantly less distress than CAU-alone participants (-7.79; 95% CI, -14.31 to -1.27; P = .02) with a small-to-medium effect size (d = 0.33), but empowerment was not affected (-1.71; 95% CI, 5.20 to -1.79; P = .34). More CAU + BREATH participants (39 of 70 [56%]; 95% CI, 44.1 to 66.8) than CAU-alone participants (32 of 80 [40%]; 95% CI, 30.0 to 51.0) showed clinically significant improvement (P = .03). This clinical effect was most prominent in low-distress BCSs. Secondary outcomes confirmed primary outcomes. There were no between-group differences in primary outcomes during follow-up.

CONCLUSION

Access to BREATH reduced distress among BCSs, but this effect was not sustained during follow-up.

The relationship between family history of cancer, coping style and psychological distress

OBJECTIVE

To investigate the relationship between family history of cancer, coping style and psychological distress.

METHODS

Total 80 patients with family history of cancer and 72 normal controls were analyzed using self-reporting inventory (SCL-90), coping style scale and impact of event scale-revised (IES-R).

RESULTS

1. Between the two groups of patients, there were significant differences in anxiety, depression, cancer-specific distress and coping style. 2. Psychological distress (anxiety, depression and cancer-specific distress) had positive correlation with negative coping style and family history. 3. Negative coping style played an intermediary role in the family history and psychological distress.

CONCLUSION

The negative coping style will predispose to a more stronger psychological distress among the individuals with family history of cancer.

Jumping on the Train of Personalized Medicine: A Primer for Non- Geneticist Clinicians: Part 3. Clinical Applications in the Personalized Medicine Area

The rapid decline of sequencing costs brings hope that personal genome sequencing will become a common feature of medical practice. This series of three reviews aim to help non-geneticist clinicians to jump into the fast-moving field of personalized genetic medicine. In the first two articles, we covered the fundamental concepts of molecular genetics and the methodologies used in genetic epidemiology. In this third article, we discuss the evolution of personalized medicine and illustrate the most recent success in the fields of Mendelian and complex human diseases. We also address the challenges that currently limit the use of personalized medicine to its full potential.