Focusing on the "Person" in Personalized Medicine: The Future of Patient-Centered Care in Radiation Oncology

Systematic Review of Socio-Emotional Values Within Organizations

The theory of separation assumes, with provocation, that an organization cannot reconcile profits and social function. Organizations can reconcile these two, apparently contrasting, missions, by considering emotions, especially moral emotions, to create a genuine motivation for focusing on goals beyond simple economic earnings and protecting organizations or groups of people from dysfunctional attitudes and behaviors, as well as considering the important role of the stakeholder accountability. Using the PRISMA method, we created a review of records using keywords relating to a socio-emotional value within organizations, with a particular focus on the last 20 years. We used the SCOPUS database and, after removing irrelevant records, we used the VOSviewer tool to create a cluster map of different areas in this topic. Some records cite the socio-emotional value that is related to organizational and employee suffering, while other articles consider it a positive factor that improves performance and prevents problems in organizations.

Men's preferences for image-guidance in prostate radiation therapy: A discrete choice experiment

INTRODUCTION

There are several options for real-time prostate monitoring during radiation therapy including fiducial markers (FMs) and transperineal ultrasound (TPUS). However, the patient experience for these procedures is very different. This study aimed to determine patient preferences around various aspects of prostate image-guidance, focusing on FMs and TPUS.

METHODS

A discrete choice experiment (DCE) was conducted, describing the image-guidance approach by: pain, cost, accuracy, side effects, additional appointments, and additional time. Participants were males with prostate cancer (PCa) and from the general Australian population. A DCE survey required participants to make hypothetical choices in each of 8 choice sets. Multinomial logit modelling and Latent Class Analysis (LCA) were used to analyse the responses. Marginal willingness to pay (mWTP) was calculated.

RESULTS

476 respondents completed the survey (236 PCa patients and 240 general population). The most important attributes for both cohorts were pain, cost and accuracy (p < 0.01). PCa patients were willing to pay more to avoid the worst pain than the general population, and willing to pay more for increased accuracy. LCA revealed 3 groups: 2 were focused more on the process-related attributes of pain and cost, and the third was focused on the clinical efficacy attributes of accuracy and side effects.

CONCLUSION

Both cohorts preferred less cost and pain and improved accuracy, with men with PCa valuing accuracy more than the general population. In addition to the clinical and technical evidence, radiation oncology centres should consider the preferences of patients when considering choice of image-guidance techniques.

Patient perceptions and preferences about prostate fiducial markers and ultrasound motion monitoring procedures in radiation therapy treatment

INTRODUCTION

Patient experiences and preferences of image-guidance procedures in prostate cancer radiotherapy are largely unknown. This study explored experiences and preferences of patients undergoing both fiducial marker (FM) insertion and Clarity ultrasound (US) procedures.

METHODS

A sequential explanatory mixed method approach was used. A questionnaire (n = 40) ranked experiences from 0 to 10 (worst) in the domains of invasiveness; pain; physical discomfort; and psychological discomfort. Responses were analysed with descriptive and inferential statistics. Semi-structured interviews (n = 22) obtained further insights into their perspectives and preferences and were thematically analysed.

RESULTS

Perceptions of invasiveness varied with 46% reporting FMs more invasive than US and 49% the same for the two procedures. The mean score for FM was 3.6 and 2.1 for US. Mean scores for pain, physical and psychological discomfort were higher for FMs with 3.3, 3.2 and 2.9, respectively, and 1.1, 1.2 and 1.7 respectively for US, only pain achieved significance (P < 0.05). Three themes emerged from the interviews: Expectations versus Experience; Preferences linked to Priorities; and Motivations. Eleven patients (50%) preferred US; however, 10 (45%) could not illicit a preference.

CONCLUSION

Participants found both of the FM and US image-guidance procedures tolerable and acceptable. Men's preference was elusive, suggesting a more rigorous preference methodology is required to understand preferences in this population.

Digi-Do: a digital information tool to support patients with breast cancer before, during, and after start of radiotherapy treatment: an RCT study protocol

BACKGROUND

Radiation Therapy (RT) is a common treatment after breast cancer surgery and a complex process using high energy X-rays to eradicate cancer cells, important in reducing the risk of local recurrence. The high-tech environment and unfamiliar nature of RT can affect the patient's experience of the treatment. Misconceptions or lack of knowledge about RT processes can increase levels of anxiety and enhance feelings of being unprepared at the beginning of treatment. Moreover, the waiting time is often quite long. The primary aim of this study will be to evaluate whether a digital information tool with VR-technology and preparatory information can decrease distress as well as enhance the self-efficacy and health literacy of patients affected by breast cancer before, during, and after RT. A secondary aim will be to explore whether the digital information tool increase patient flow while maintaining or increasing the quality of care.

METHOD

The study is a prospective and longitudinal RCT study with an Action Research participatory design approach including mixed-methods data collection, i.e., standardised instruments, qualitative interviews (face-to-face and telephone) with a phenomenological hermeneutical approach, diaries, observations, and time measurements, and scheduled to take place from autumn 2020 to spring 2022. The intervention group (n = 80), will receive standard care and information (oral and written) and the digital information tool; and the control group (n = 80), will receive standard care and information (oral and written). Study recruitment and randomisation will be completed at two centres in the west of Sweden.

DISCUSSION

Research in this area is scarce and, to our knowledge, only few previous studies examine VR as a tool for increasing preparedness for patients with breast cancer about to undergo RT that also includes follow-ups six months after completed treatment. The participatory approach and design will safeguard the possibilities to capture the patient perspective throughout the development process, and the RCT design supports high research quality. Digitalisation brings new possibilities to provide safe, person-centred information that also displays a realistic picture of RT treatment and its contexts. The planned study will generate generalisable knowledge of relevance in similar health care contexts.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04394325. Registered May 19, 2020. Prospectively registered.

Empowering patients in decision-making in radiation oncology - can we do better?

The decision as to whether or not a patient should receive radiation therapy as part of their cancer treatment is based on evidence‐based practice and on recommended international consensus treatment guidelines. However, the merit of involving the patients' individual preferences and values in the treatment decision is frequently overlooked. Here, we review the current literature pertaining to shared decision‐making (SDM) in the field of radiation oncology, including discussion of the patient's perception of radiation therapy as a treatment option and patient involvement in clinical trials. The merit of decision aids during the SDM process in radiation oncology is considered, as are patient preferences for active or passive involvement in decisions about their treatment. Clarity of terminology, a better understanding of effective strategies and increased resources will be needed to ensure SDM in radiation oncology becomes a reality.

Effects of Shared Decision Making on Distress and Health Care Utilization Among Patients With Lung Cancer: A Systematic Review

CONTEXT

Lung cancer is associated with significant distress, poor quality of life, and a median prognosis of less than one year. Benefits of shared decision making (SDM) have been described for multiple diseases, either by the use of decisions aids or as part of supportive care interventions.

OBJECTIVES

The objective of this study was to summarize the effects of interventions facilitating SDM on distress and health care utilization among patients with lung cancer.

METHODS

We performed a systematic literature search in the CINAHL, Cochrane, EMBASE, MEDLINE, and PsychINFO databases. Studies were eligible when conducted in a population of patients with lung cancer, evaluated the effects of an intervention that facilitated SDM, and measured distress and/or health care utilization as outcomes.

RESULTS

A total of 12 studies, detailed in 13 publications, were included: nine randomized trials and three retrospective cohort studies. All studies reported on a supportive care intervention facilitating SDM as part of their intervention. Eight studies described effects on distress, and eight studies measured effects on health care utilization. No effect was found in studies measuring generic distress. Positive effects, in favor of the intervention groups, were observed in studies using anxiety-specific measures (n = 1) or depression-specific measures (n = 3). Evidence for reductions in health care utilization was found in five studies.

CONCLUSION

Although not supported by all studies, our findings suggest that facilitating SDM in the context of lung cancer may lead to improved emotional outcomes and less aggressive therapies. Future studies, explicitly studying the effects of SDM by using decision aids, are needed to better elucidate potential benefits.

Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy

PURPOSE

The purpose of this study was to compare the effectiveness of ensemble methods (e.g., random forests) and single-model methods (e.g., logistic regression and decision trees) in predictive modeling of post-RT treatment failure and adverse events (AEs) for breast cancer patients using automatically extracted EMR data.

METHODS

Data from 1967 consecutive breast radiotherapy (RT) courses at one institution between 2008 and 2015 were automatically extracted from EMRs and oncology information systems using extraction software. Over 230 variables were extracted spanning the following variable segments: patient demographics, medical/surgical history, tumor characteristics, RT treatment history, and AEs tracked using CTCAEv4.0. Treatment failure was extracted algorithmically by searching posttreatment encounters for evidence of local, nodal, or distant failure. Individual models were trained using decision trees, logistic regression, random forests, and boosted decision trees to predict treatment failures and AEs. Models were fit on 75% of the data and evaluated for probability calibration and area under the ROC curve (AUC) on the remaining test set. The impact of each variable segment was assessed by retraining without the segment and measuring change in AUC (ΔAUC).

RESULTS

All AUC values were statistically significant (P < 0.05). Ensemble methods outperformed single-model methods across all outcomes. The best ensemble method outperformed decision trees and logistic regression by an average AUC of 0.053 and 0.034, respectively. Model probabilities were well calibrated as evidenced by calibration curves. Excluding the patient medical history variable segment led to the largest AUC reduction in all models (Average ΔAUC = -0.025), followed by RT treatment history (-0.021) and tumor information (-0.015).

CONCLUSION

In this largest such study in breast cancer performed to date, automatically extracted EMR data provided a basis for reliable outcome predictions across multiple statistical methods. Ensemble methods provided substantial advantages over single-model methods. Patient medical history contributed the most to prediction quality.

Shared decision-making in older patients with colorectal or pancreatic cancer: Determinants of patients' and observers' perceptions

OBJECTIVE

To identify determinants of older patients' perceptions of involvement in decision-making on colorectal (CRC) or pancreatic cancer (PC) treatment, and to compare these with determinants of observers' perceptions.

METHODS

Patients' perceptions of involvement were constructed by the 9-item SDM questionnaire (SDM-Q-9) and a Visual Analogue Scale for Involvement (VAS-I). Observers' perceptions were constructed by the OPTION5, OPTION12, and MAPPIN'SDM. Convergent validities were calculated between the patient-sided and observer instruments using Spearman's correlation coefficient. Linear regression was used to identify determinants per criterion.

RESULTS

58 CRC and 22 PC patients were included (mean age: 71.8 ± 5.2 years, 45.0% female). No significant correlations were found between the patient-sided and observer instruments. Patients' impression of involvement was influenced by patient characteristics such as quality of life and satisfaction, while observers' perceptions mainly referred to encounter characteristics such as the mean duration of consultations and general communication skills.

CONCLUSION

Due to evident differences in determinants, older CRC/PC patients' and observers' perceptions of involvement should both be collected in evaluating the quality of medical decision-making.

PRACTICE IMPLICATIONS

General communication skills should be integrated in SDM training interventions. New SDM measurement tools for patients are needed to sufficiently discriminate between the constructs of involvement and satisfaction.

Training surgeons in shared decision-making with cancer patients aged 65 years and older: a pilot study

OBJECTIVE

Treatment decision-making in older patients with colorectal (CRC) or pancreatic cancer (PC) needs improvement. We introduced the EASYcare in Geriatric Onco-surgery (EASY-GO) intervention to optimize the shared decision-making (SDM) process among these patients.

METHODS

The EASY-GO intervention comprised a working method with geriatric assessment and SDM training for surgeons. A non-equivalent control group design was used. Newly diagnosed CRC/PC patients aged ≥65 years were included. Primary patient-reported experiences were the quality of SDM (SDM-Q-9, range 0-100), involvement in decision-making (Visual Analog Scale for Involvement in the decision-making process [range 0-10]), satisfaction about decision-making (Visual Analog Scale for Satisfaction concerning the decision-making process [range 0-10]), and decisional regret (Decisional Regret Scale [DRS], range 0-100). Only for DRS, lower scores are better.

RESULTS

A total of 71.4% of the involved consultants and 42.9% of the involved residents participated in the EASY-GO training. Only 4 trained surgeons consulted patients both before (n=19) and after (n=19) training and were consequently included in the analyses. All patient-reported experience measures showed a consistent but non-significant change in the direction of improved decision-making after training. According to surgeons, decisions were significantly more often made together with the patient after training (before, 38.9% vs after, 73.7%, p=0.04). Sub-analyses per diagnosis showed that patient experiences among older PC patients consistent and clinically relevant changed in the direction of improved decision-making after training (SDM-Q-9 +13.4 [95% CI -7.9; 34.6], VAS-I +0.27 [95% CI -1.1; 1.6], VAS-S +0.88 [95% CI -0.5; 2.2], DRS -10.3 [95% CI -27.8; 7.1]).

CONCLUSION

This pilot study strengthens the practical potential of the intervention's concept among older surgical cancer patients.

A Review of Shared Decision-Making and Patient Decision Aids in Radiation Oncology

Cancer treatment decisions are complex and may be challenging for patients, as multiple treatment options can often be reasonably considered. As a result, decisional support tools have been developed to assist patients in the decision-making process. A commonly used intervention to facilitate shared decision-making is a decision aid, which provides evidence-based outcomes information and guides patients towards choosing the treatment option that best aligns with their preferences and values. To ensure high quality, systematic frameworks and standards have been proposed for the development of an optimal aid for decision making. Studies have examined the impact of these tools on facilitating treatment decisions and improving decision-related outcomes. In radiation oncology, randomized controlled trials have demonstrated that decision aids have the potential to improve patient outcomes, including increased knowledge about treatment options and decreased decisional conflict with decision-making. This article provides an overview of the shared-decision making process and summarizes the development, validation, and implementation of decision aids as patient educational tools in radiation oncology. Finally, this article reviews the findings from decision aid studies in radiation oncology and offers various strategies to effectively implement shared decision-making into clinical practice.