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Introduction The aim of this systematic review was to summarize the current literature on wearable technologies in oncology patients for the purpose of prognostication, treatment monitoring, and rehabilitation planning. Methods A search was conducted in Medline ALL, Cochrane Central Register of Controlled Trials, Embase, Emcare, CINAHL, Scopus, and Web of Science, up until February 2022. Articles were included if they reported on consumer grade and/or non-commercial wearable devices in the setting of either prognostication, treatment monitoring or rehabilitation. Results We found 199 studies reporting on 18 513 patients suitable for inclusion. One hundred and eleven studies used wearable device data primarily for the purposes of rehabilitation, 68 for treatment monitoring, and 20 for prognostication. The most commonly-reported brands of wearable devices were ActiGraph (71 studies; 36%), Fitbit (37 studies; 19%), Garmin (13 studies; 7%), and ActivPAL (11 studies; 6%). Daily minutes of physical activity were measured in 121 studies (61%), and daily step counts were measured in 93 studies (47%). Adherence was reported in 86 studies, and ranged from 40% to 100%; of these, 63 (74%) reported adherence in excess of 80%. Conclusion Wearable devices may provide valuable data for the purposes of treatment monitoring, prognostication, and rehabilitation. Future studies should investigate live-time monitoring of collected data, which may facilitate directed interventions. [ABSTRACT FROM AUTHOR]

Supplemental Digital Content is Available in the Text. Introduction: Health numeracy (numerical literacy) refers to an individual's ability to use numerical information to make effective health decisions. Numeracy is fundamental in the role of a health care provider, forming the basis of evidence-based medicine and effective patient-provider communication. Despite a high level of education, many health care providers struggle with numeracy. Numeracy is often integrated into training curricula; however, teaching modality, competencies covered, learner satisfaction, and effectiveness of these educational interventions varies. Method: A scoping review was conducted to explore and summarize what is known about numeracy skills education programs for health care providers. A comprehensive literature search was conducted from January 2010 to April 2021 in 10 databases. Controlled vocabulary terms and text words were used. The search was restricted to human studies, adults, and the English language. Articles were included if they were related to numeracy education for health care providers or trainees and provided details regarding methods, evaluation, and results. Results: The literature search retrieved 31,611 results and 71 met the inclusion criteria. Most interventions were conducted in a university setting, and targeted nursing students, medical students, resident physicians, and pharmacy students. Common numeracy concepts included statistics/biostatistics, medication calculations, evidence-based medicine, research methodology, and epidemiology. A variety of teaching modalities were used, which most often combined active approaches (eg, workshops, laboratories, small-group exercises, and discussion boards) with passive approaches (eg, traditional lectures and didactic teaching). Measured outcomes included knowledge and skills, self-efficacy, attitudes, and engagement. Discussion: Although efforts have been made to incorporate numeracy into training curricula, greater emphasis should be placed on developing strong numeracy skills in health care providers, particularly given the role numerical information plays in clinical decision making, evidence-based practices, and patient-provider communication. [ABSTRACT FROM AUTHOR]

Background: People who use drugs with life-limiting illnesses experience substantial barriers to accessing palliative care. Demand for palliative care is expected to increase during communicable disease epidemics and pandemics. Understanding how epidemics and pandemics affect palliative care for people who use drugs is important from a service delivery perspective and for reducing population health inequities. Aim: To explore what is known about communicable disease epidemics and pandemics, palliative care, and people who use drugs. Design: Scoping review. Data sources: We searched six bibliographic databases from inception to April 2021 as well as the grey literature. We included English and French records about palliative care access, programs, and policies and guidelines for people ⩾18 years old who use drugs during communicable disease epidemics and pandemics. Results: Forty-four articles were included in our analysis. We identified limited knowledge about palliative care for people who use drugs during epidemics and pandemics other than HIV/AIDS. Through our thematic synthesis of the records, we generated the following themes: enablers and barriers to access, organizational barriers, structural inequity, access to opioids and other psychoactive substances, and stigma. Conclusions: Our findings underscore the need for further research about how best to provide palliative care for people who use drugs during epidemics and pandemics. We suggest four ways that health systems can be better prepared to help alleviate the structural barriers that limit access as well as support the provision of high-quality palliative care during future epidemics and pandemics. [ABSTRACT FROM AUTHOR]

Background: Age-related complex medical conditions have been commonly reported among adolescents and young adults with advanced life-limiting illness. There is increasing interest in exploring their palliative care needs and end-of-life experiences. Aim: This scoping review aimed to explore the available literature about providing palliative and end-of-life care to adolescents and young adults with advanced life-limiting illnesses. Design: Scoping review. This review was registered on Open Science Framework (https://doi.org/10.17605/OSF.IO/SPTD7). Data sources: Electronic databases (MEDLINEALL, Embase, Emcare, Cochrane Central Register of Controlled Trial CENTRAL, Scopus, PsycINFO, Cochrane Database of Systematic Reviews), Google Scholar and reference lists were searched up to October 2021. We included studies reporting on adolescents and/or young adults with advanced life-limiting illnesses. There were no limitations concerning location, type of illness or study design. Results: We identified 51 studies published between 2002 and 2021. Most studies were published in the United States (n = 34, 67%), and nine studies (18%) reported exclusively on patients with non-malignant illnesses. Two thirds of the identified studies were case reports and retrospective chart reviews (n = 33). Three main topics were identified: Physical symptom burden (n = 26, 51%), Psychological and social needs (n = 33, 65%), and end-of-life care (n = 30, 59%). Twenty-six studies (51%) were focused only on one topic, and the age range used to identify adolescents and young adults varied based on the study location. Conclusion: The findings of this review shed light on the different palliative care experiences and knowledge gaps related to adolescents and young adults as an underserved and vulnerable patient population. Further research needs to be dedicated toward palliative care programs tailored for adolescents and young adults. [ABSTRACT FROM AUTHOR]

Purpose: The adoption of artificial intelligence (AI) in health care may afford new avenues for personalized and patient-centered care. This systematic review explored the role of AI in symptom monitoring for adult cancer survivors., Methods: A comprehensive search was performed from inception to November 2023 in seven bibliographic databases and three clinical trial registries. This PROSPERO registered review (ID: CRD42023476027) assessed reports of empirical research studies of AI use in symptom monitoring (physical and psychological symptoms) across all cancer types in adults., Results: A total of 18,530 reports were identified, of which 41 met review criteria and were analyzed. Included studies were predominantly published between 2021 and 2023, originated in the United States (39.0%) and Japan (14.6%), and primarily used cohort designs (80.5%), followed by cross-sectional designs (12.2%). The mean sample size was 617.14 (standard deviation = 1,401.37), with most studies primarily including multiple tumor types (31.7%) or breast cancer survivors (26.8%). Machine learning algorithms (43.9%) was the most used AI method, followed by natural language processing (29.3%), AI-driven chatbots (17.1%), and decision support tools (9.8%). The most common inputs to the AI algorithms were textual data, patient-reported symptoms, and physiologic measurements. The most examined symptom was pain (34.2% of studies), followed by fatigue and nausea (17.1% of studies each). Overall, the review showed increasing AI technology use in the prediction and monitoring of cancer symptoms., Conclusion: AI is being used to enhance symptom monitoring in various cancer settings. When considering integration into clinical practice, standardization of data capture, the use of analytics, investing in infrastructure, and the end-user experience should be considered for successful implementation and monitoring the improvement of patient outcomes.