Psychosocial and palliative care in African national cancer control plans: A qualitative study.

OBJECTIVE: Low and middle income countries of Africa account for a disproportionate amount of the global health burden of cancer. Providing patients access to psychosocial oncology and palliative care through policy structures such as the National Cancer Control Plans (NCCP) is essential to improving the care provided to patients and their families. The first phase of this study sought to determine the extent to which palliative care and psychosocial oncology were integrated in NCCPs in African countries. METHODS: A qualitative thematic analysis of the plans was used using Nvivo, with two-raters coding and continuous team discussions. Data were organized into an infographic map showing the coverage of themes across African countries. RESULTS: Fifty-eight NCCPs and NCD plans were analyzed in the 54 countries in Africa. The findings illustrate a lack of standardization across countries' NCCPs in addressing psychosocial oncology and palliative care themes. Certain areas presented good coverage across several plans, such as barriers to access, education, awareness, and health behaviors, coordination of care, families, caregivers and community involvement, and palliative care. Other themes presented low coverage, such as doctor-patient communication, mental health, bereavement, psychosocial care, survivorship care, and traditional medicine. CONCLUSIONS: One may consider further developing NCCP areas as they pertain to psychosocial oncology and palliative care to ensure their proper place on the policy agenda for a healthier Africa.

The use of artificial intelligence in reconstructive surgery for head and neck cancer: a systematic review.

OBJECTIVES: The popularity of artificial intelligence (AI) in head and neck cancer (HNC) management is increasing, but postoperative complications remain prevalent and are the main factor that impact prognosis after surgery. Hence, recent studies aim to assess new AI models to evaluate their ability to predict free flap complications more effectively than traditional algorithms. This systematic review aims to summarize current evidence on the utilization of AI models to predict complications following reconstructive surgery for HNC. METHODS: A combination of MeSH terms and keywords was used to cover the following three subjects: "HNC," "artificial intelligence," and "free flap or reconstructive surgery." The electronic literature search was performed in three relevant databases: Medline (Ovid), Embase (Ovid), and Cochrane. Quality appraisal of the included study was conducted using the TRIPOD Statement. RESULTS: The review included a total of 5 manuscripts (n = 5) for a total of 7524 patients. Across studies, the highest area under the receiver operating characteristic (AUROC) value achieved was 0.824 by the Auto-WEKA model. However, only 20% of reported AUROCs exceeded 0.70. One study concluded that most AI models were comparable or inferior in performance to conventional logistic regression. The highest predictors of complications were flap type, smoking status, tumour location, and age. DISCUSSION: Some models showed promising results. Predictors identified across studies were different than those found in existing literature, showing the added value of AI models. However, the algorithms showed inconsistent results, underlying the need for better-powered studies with larger databases before clinical implementation.

A call for qualitative and mixed-methods research on gambling and cannabis.

Gambling disorder and cannabis use disorder are both considered major public health issues. Despite the well-documented frequency of substance use disorders among people with gambling disorder, little is known about the experiences of those who both engage with gambling and cannabis. A scoping review was undertaken to investigate studies focusing on the experiences of people who gamble and use cannabis. Unexpectedly, no qualitative or mixed-methods studies that included an in-depth qualitative component to study the lived experiences of this population were found. This absence highlights the critical need to diversify research methods and fill the gap in knowledge of the lived experiences of people who both gamble and consume cannabis.

Qualitative Experience of Self-Exclusion Programs: A Scoping Review.

Gambling disorder is a major public health issue in many countries. It has been defined as a persistent, recurrent pattern of gambling and is associated with substantial distress or impairment, lower quality of life, and living with a plurality of psychiatric problems. Many people suffering from gambling disorder seek help in ways other than formal treatment seeking, including self-management strategies. One example of responsible gambling tools that has gained popularity in recent years is self-exclusion programs. Self-exclusion entails individuals barring themselves from a gambling venue or a virtual platform. The aim of this scoping review is to summarize the literature on this topic and to explore participants' perceptions and experiences with self-exclusion. An electronic literature search was conducted on 16th May 2022 in the following databases: Academic Search Complete, CINAHL Plus with Full Text, Education Source, ERIC, MEDLINE with Full Text, APA PsycArticles, Psychology and Behavioral Sciences Collection, APA PsychInfo, Social Work Abstracts, and SocINDEX. The search yielded a total of 236 articles, of which 109 remained after duplicates were removed. After full-text reading, six articles were included in this review. The available literature shows that although there are many barriers and limitations to the current self-exclusion programs, self-exclusion is generally viewed as an effective responsible gambling strategy. There is a clear need to improve the current programs by increasing awareness, publicity, availability, staff training, off-site venue exclusion, and technology-assisted monitoring, as well as by adopting more holistic management approaches to gambling disorders in general.