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OBJECTIVE: This pilot study aimed to evaluate the feasibility, acceptability, and psychosocial outcomes of a text-based online group therapy intervention, i-Restoring Body Image after Cancer (i-ReBIC). i-ReBIC was developed to reduce body image distress and psychosexual dysfunction among women diagnosed and treated for breast or gynecological cancer. METHODS: i-ReBIC was adapted from an empirically tested face-to-face group therapy intervention, ReBIC. Over the 8-week intervention, participants engaged in 90-minute weekly text-based online discussions. Each week, a new topic associated with reconnecting to the body, adjusting to a postcancer identity, and improving psychosexual functioning was addressed. Homework assignments included readings, guided imagery exercises, and journaling. RESULTS: Sixty women with cancer enrolled in the pilot study. Among them, 47 completed the intervention, and 44 filled out all prestudy and poststudy questionnaires. Ninety-three percent of participants (n = 41) were satisfied and reported that it met their expectations. Eighty percent of participants (n = 35) reported no technical difficulties during the intervention. Preoutcome and postoutcome measures on body image distress and experience of embodiment showed statistically significant improvements. Psychosexual distress and quality of life also showed improvements but were not statistically significant. CONCLUSIONS: This study suggests that i-ReBIC is feasible, well accepted, and effective in addressing persistent body image concerns experienced by women treated for breast or gynecological cancer. As an online group therapy, i-ReBIC can expand the reach of its original face-to-face intervention by mitigating barriers and improving access to care in a cost-effective manner.
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Imagem Corporal/psicologia , Neoplasias da Mama/psicologia , Sobreviventes de Câncer/psicologia , Intervenção Baseada em Internet , Aceitação pelo Paciente de Cuidados de Saúde , Psicoterapia , Disfunções Sexuais Psicogênicas/terapia , Adulto , Estudos de Viabilidade , Feminino , Humanos , Pessoa de Meia-Idade , Projetos PilotoRESUMO
BACKGROUND: Commonly offered as supportive care, therapist-led online support groups (OSGs) are a cost-effective way to provide support to individuals affected by cancer. One important indicator of a successful OSG session is group cohesion; however, monitoring group cohesion can be challenging due to the lack of nonverbal cues and in-person interactions in text-based OSGs. The Artificial Intelligence-based Co-Facilitator (AICF) was designed to contextually identify therapeutic outcomes from conversations and produce real-time analytics. OBJECTIVE: The aim of this study was to develop a method to train and evaluate AICF's capacity to monitor group cohesion. METHODS: AICF used a text classification approach to extract the mentions of group cohesion within conversations. A sample of data was annotated by human scorers, which was used as the training data to build the classification model. The annotations were further supported by finding contextually similar group cohesion expressions using word embedding models as well. AICF performance was also compared against the natural language processing software Linguistic Inquiry Word Count (LIWC). RESULTS: AICF was trained on 80,000 messages obtained from Cancer Chat Canada. We tested AICF on 34,048 messages. Human experts scored 6797 (20%) of the messages to evaluate the ability of AICF to classify group cohesion. Results showed that machine learning algorithms combined with human input could detect group cohesion, a clinically meaningful indicator of effective OSGs. After retraining with human input, AICF reached an F1-score of 0.82. AICF performed slightly better at identifying group cohesion compared to LIWC. CONCLUSIONS: AICF has the potential to assist therapists by detecting discord in the group amenable to real-time intervention. Overall, AICF presents a unique opportunity to strengthen patient-centered care in web-based settings by attending to individual needs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/21453.
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BACKGROUND: The recent onset of the COVID-19 pandemic and the social distancing requirement have created an increased demand for virtual support programs. Advances in artificial intelligence (AI) may offer novel solutions to management challenges such as the lack of emotional connections within virtual group interventions. Using typed text from online support groups, AI can help identify the potential risk of mental health concerns, alert group facilitator(s), and automatically recommend tailored resources while monitoring patient outcomes. OBJECTIVE: The aim of this mixed methods, single-arm study was to evaluate the feasibility, acceptability, validity, and reliability of an AI-based co-facilitator (AICF) among CancerChatCanada therapists and participants to monitor online support group participants' distress through a real-time analysis of texts posted during the support group sessions. Specifically, AICF (1) generated participant profiles with discussion topic summaries and emotion trajectories for each session, (2) identified participant(s) at risk for increased emotional distress and alerted the therapist for follow-up, and (3) automatically suggested tailored recommendations based on participant needs. Online support group participants consisted of patients with various types of cancer, and the therapists were clinically trained social workers. METHODS: Our study reports on the mixed methods evaluation of AICF, including therapists' opinions as well as quantitative measures. AICF's ability to detect distress was evaluated by the patient's real-time emoji check-in, the Linguistic Inquiry and Word Count software, and the Impact of Event Scale-Revised. RESULTS: Although quantitative results showed only some validity of AICF's ability in detecting distress, the qualitative results showed that AICF was able to detect real-time issues that are amenable to treatment, thus allowing therapists to be more proactive in supporting every group member on an individual basis. However, therapists are concerned about the ethical liability of AICF's distress detection function. CONCLUSIONS: Future works will look into wearable sensors and facial cues by using videoconferencing to overcome the barriers associated with text-based online support groups. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/21453.
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OBJECTIVE: Counsellor familiarity and engagement with technology-mediated communication represents an important factor in the ability to implement support programs to cancer patients. This study describes the experiences of a cohort of expert psycho-oncology counsellors who learned to facilitate online support groups (OSGs) and identifies the important elements of their learning experience that led to their engagement. PROCEDURE AND METHOD: Six psycho-oncology counsellors were trained to facilitate OSGs and later facilitated OSGs in their own practice context. They subsequently reflected on and discussed their experiences with OSGs over time: in a panel discussion within 6 months of training, and in two focus groups. A participatory method was used to describe and interpret key elements of the learning process. RESULTS AND DISCUSSION: Three themes of the counsellors' learning experience emerged: immersion in experiential learning, perceptions of clinical value and benefit, and overcoming challenges with adapted skills. Counsellors described components of their experiential learning: co-facilitating online cancer support groups with an expert, debriefing online, and participating in an online peer supervision group, as critical to their becoming engaged. Despite initial challenges, the counsellors learned new skills, and adapted known clinical skills, to the text-only environment. CONCLUSION: With appropriate training and practice over time, counsellors familiar with delivering face-to-face support groups to cancer patients became skilled and engaged in leading OSG's for cancer patients. Learning to facilitate OSGs shifted practice by significantly expanding the scope of services they were able to provide their patients and has implications for expanding access to support services.
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Internet , Neoplasias/psicologia , Psicologia/educação , Grupos de Autoajuda , Aconselhamento/métodos , Humanos , Competência Profissional , Psicologia/métodos , Psicologia/normas , Grupos de Autoajuda/organização & administraçãoRESUMO
A psychosocial oncology learning needs assessment was developed and offered online to cancer care providers in a variety of settings across all health regions in British Columbia. The purpose was to better understand the psychosocial learning needs of cancer care providers and to use this knowledge to shape continuing education priorities. Respondents' preferred learning formats, access to technology and barriers to accessing psychosocial learning opportunities were also assessed. Cancer care providers including radiation therapists, social workers, dieticians, pharmacists, physicians and nurses in both community and agency settings were surveyed. Two hundred and sixty-seven people completed the survey. Key learning needs identified included cultural aspects of care, symptom management, treating the anxious patient, self-care for the professional, care of elderly patients, basic cancer-related medical issues surrounding care and ethics. Community respondents indicated more needs than agency respondents. On-site training was the most preferred learning format, and time constraints were the biggest barrier to accessing learning opportunities. Participants had access to technology. Next steps include conducting key informant and focus group interviews to determine if interest in a learning need is the same as a relevant knowledge and practice gap. This research suggests that cancer care providers are interested in learning more about the psychosocial issues related to cancer care.
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Oncologia/educação , Avaliação das Necessidades , Neoplasias/terapia , Relações Profissional-Paciente , Colúmbia Britânica , Coleta de Dados , Humanos , Internet , PsicologiaRESUMO
A growing number of face-to-face group therapy interventions are being translated into online versions in psycho-oncology. Yet few researchers have systematically described the complex translation process or systematic approaches used to maintain the integrity of the original empirically supported interventions. In this article, we present a case study to illustrate the process of translating an evidence-based face-to-face therapy group, Restoring Body Image after Cancer (ReBIC) into an online format. We highlight how three critical therapeutic components from the original intervention (guided imagery exercises, psychoeducational reading materials, and psychotherapeutic group processes) were maintained and translated for online delivery. We provide preliminary recommendations for future translation efforts of text-based online group therapies to encourage best practices.