Witnessing unnecessary suffering: A call for action and policy change to increase access to psycho-oncology care

Disparities in cancer care in individuals with severe mental illness: A narrative review

Individuals with severe mental illness (SMI) have higher mortality rates from cancer than individuals without SMI. The aim of this paper is to highlight these disparities in cancer care in individuals with SMI and suggest potential solutions. We conducted a narrative review of published papers, focusing on mortality, incidence, behavioral and provider risk factors, screening, diagnosis, treatment, and palliative care among individuals with SMI and cancer. The literature does not provide a clear consensus on whether a difference in cancer incidence exists among individuals with SMI compared to the general population. However, it is evident that individuals with SMI have higher mortality from cancer. Factors such as increased cancer related risk behavior, mental health stigma, and difficulty accessing cancer care contribute to this mortality difference. The literature also indicates lower screening rates, delayed and improper diagnosis and treatment, as well as inadequate clinical trial enrollment in individuals with SMI. While the literature is inconclusive regarding disparities in palliative care, we outline key concepts to provide the best possible end of life care to this population. We also summarize strategies to address disparities at the screening, diagnostic, and treatment levels and describe general strategic approaches to improve cancer care in individuals with SMI. We highlight patient-related, physician-related, and healthcare/systems-related factors leading to disparities in cancer care in individuals with SMI. Future research must examine the effectiveness of proposed solutions to guide evidence-based practices.

Oncology mental health providers' adaptation of an evidence-based intervention: A mixed-methods study

BACKGROUND

Adaptations are intentional modifications maximizing the fit of an evidence-based intervention (EBI) in new context. Little is known about EBI adaptation within psychosocial oncology. Guided by the Framework for Reporting Adaptations and Modifications-Enhanced (FRAME), this mixed-methods study describes oncology mental health providers' planned adaptations to a psychosocial oncology EBI and examines the relationship between planned adaptations and longitudinal EBI usage.

METHODS

Providers (N = 128) were social workers (47%) and psychologists (40%) practicing in community settings (44%) or academic medical centers (41%). They attended a 3-day training on a multicomponent psychosocial oncology EBI, the Biobehavioral Intervention (BBI). During training, providers prepared an "adaptation plan" describing necessary adaptations to BBI and rationales for change. Qualitative data from adaptation plans were analyzed using directed content analysis. Linear mixed models examined the relationship between adaptation characteristics (number, similarity to the manualized BBI) and EBI usage across 12 months post-training.

RESULTS

Three sets of qualitative themes reflecting FRAME elements emerged: (1) content modifications (e.g., shortening/condensing, selecting elements, adding/removing elements); (2) contextual changes (e.g., alternative group formats); and (3) reasons for adaptations (e.g., organization/setting, provider, and recipient factors). Neither number of adaptations nor adaptation similarity were associated with BBI usage across 12 months post-training.

CONCLUSIONS

To our knowledge, this study is the first to characterize oncology mental health providers' planned adaptations to a psychosocial oncology EBI. Planned adaptations did not increase usage, but importantly they did not decrease usage. The adaptation process enabled providers to make thoughtful adaptation choices, with implementation successful irrespective of setting constraints.

Emotion Regulation Flexibility and Electronic Patient-Reported Outcomes: A Framework for Understanding Symptoms and Affect Dynamics in Pediatric Psycho-Oncology

Simple Summary

The individual’s ability to conceive and regulate the broad spectrum of their human emotions is closely linked to their mental health. The implications of a serious disease such as cancer represent an extraordinary burden to these internal coping mechanisms, especially in the case of young patients. Regarding their well-being and support, it is therefore of particular interest for caregivers to be able to follow the dynamics of the patient’s emotional world and perceptions. Technical progress enables new possibilities for data collection through tools for digital patient self-reports while simultaneously creating new challenges. Within the scope of this article, we provide an overview of the literature on this topic, outlining the current strengths and weaknesses and possible perspectives on digital aids, especially in terms of capturing the flexibility, fluctuations and early detection of symptom changes.

Abstract

Emotion dysregulation is regarded as a driving mechanism for the development of mental health problems and psychopathology. The role of emotion regulation (ER) in the management of cancer distress and quality of life (QoL) has recently been recognized in psycho-oncology. The latest technological advances afford ways to assess ER, affective experiences and QoL in child, adolescent and young adult (CAYA) cancer patients through electronic patient-reported outcomes (ePRO) in their daily environment in real-time. Such tools facilitate ways to study the dynamics of affect and the flexibility of ER. However, technological advancement is not risk-free. We critically review the literature on ePRO in cancer existing models of ER in pediatric psycho-oncology and analyze strength, weaknesses, opportunities and threats of ePRO with a focus on CAYA cancer research and care. Supported by personal study-based experiences, this narrative review serves as a foundation to propose a novel methodological and metatheoretical framework based on: (a) an extended notion of ER, which includes its dynamic, adaptive and flexible nature and focuses on processes and conditions rather than fixed categorical strategies; (b) ePRO as a means to measure emotion regulation flexibility and affect dynamics; (c) identifying early warning signals for symptom change via ePRO and building forecasting models using dynamical systems theory.