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1.
Eur J Psychotraumatol ; 14(2): 2284025, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-38111090

RESUMEN

Background: Adverse childhood experiences (ACEs) have been shown to negatively affect health in adulthood. Estimates of associations between ACEs and chronic painful conditions are lacking.Objectives: This systematic review and meta-analysis aimed to evaluate associations between exposure to ACEs and chronic pain and pain-related disability in adults.Methods: We searched 10 electronic databases from inception to February 2023. We included observational studies assessing associations between direct ACEs (childhood sexual, physical, emotional abuse, or neglect) alone or in combination with indirect ACEs (witnessing domestic violence, household mental illness), and adult chronic pain (≥3 months duration) and pain-related disability (daily activities limited by chronic pain). Pairs of reviewers independently extracted data and assessed study risks of bias. Random-effect models were used to calculate pooled adjusted odds ratios [aOR]. Tau square [T2], 95% prediction intervals [95%PI] and I2 expressed the amount of heterogeneity, and meta-regressions and subgroup meta-analyses investigated sources of heterogeneity (PROSPERO: CRD42020150230).Results: We identified 85 studies including 826,452 adults of which 57 studies were included in meta-analyses. Study quality was generally good or fair (n = 70). The odds of reporting chronic pain in adulthood were significantly higher among individuals exposed to a direct ACE (aOR, 1.45, 95%CI, 1.38-1.53). Individuals reporting childhood physical abuse were significantly more likely to report both chronic pain (aOR, 1.50, 95CI, 1.39-1.64) and pain-related disability (1.46, 95CI, 1.03-2.08) during adulthood. Exposure to any ACEs alone or combined with indirect ACEs significantly increase the odds of adult chronic painful conditions (aOR, 1.53, 95%CI, 1.42-1.65) and pain-related disability (aOR, 1.29; 95%CI, 1.01-1.66). The risk of chronic pain in adulthood significantly increased from one ACE (aOR, 1.29, 95%CI, 1.22-1.37) to four or more ACEs (1.95, 95%CI, 1.73-2.19).Conclusions: Single and cumulative ACEs are significantly associated with reporting of chronic pain and pain-related disability as an adult.


Previous meta-analyses highlighted the negative impact of adverse childhood experiences on physical, psychological, and behavioural health across the lifespan.We found exposure to any direct adverse childhood experience, i.e. childhood sexual, physical, emotional abuse, or neglect alone or combined, increased the risk of reporting chronic pain and pain-related disability in adulthood.The risk of reporting chronic painful disorders increased with increasing numbers of adverse childhood experiences.


Asunto(s)
Experiencias Adversas de la Infancia , Dolor Crónico , Trastornos Mentales , Delitos Sexuales , Adulto , Humanos , Dolor Crónico/epidemiología
2.
JBI Evid Synth ; 21(7): 1477-1484, 2023 07 01.
Artículo en Inglés | MEDLINE | ID: mdl-37434376

RESUMEN

OBJECTIVE: The aim of this scoping review is to synthesize knowledge from the literature on curriculum frameworks and current educational programs that focus on the teaching and learning of artificial intelligence (AI) for medical students, residents, and practicing physicians. INTRODUCTION: To advance the implementation of AI in clinical practice, physicians need to have a better understanding of AI and how to use it within clinical practice. Consequently, medical education must introduce AI topics and concepts into the curriculum. Curriculum frameworks are educational road maps to teaching and learning. Therefore, any existing AI curriculum frameworks must be reviewed and, if none exist, such a framework must be developed. INCLUSION CRITERIA: This review will include articles that describe curriculum frameworks for teaching and learning AI in medicine, irrespective of country. All types of articles and study designs will be included, except conference abstracts and protocols. METHODS: This review will follow the JBI methodology for scoping reviews. Keywords will first be identified from relevant articles. Another search will then be conducted using the identified keywords and index terms. The following databases will be searched: MEDLINE (Ovid), Embase (Ovid), Cochrane Central Register of Controlled Trials (CENTRAL), CINAHL (EBSCOhost), and Scopus. Gray literature will also be searched. Articles will be limited to the English and French languages, commencing from the year 2000. The reference lists of all included articles will be screened for additional articles. Data will then be extracted from included articles and the results will be presented in a table.


Asunto(s)
Médicos , Estudiantes de Medicina , Humanos , Inteligencia Artificial , Curriculum , Escolaridad , Literatura de Revisión como Asunto
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