scholarly journals Psychosocial wellbeing among children and adults with arthrogryposis: a scoping review

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sarah Cachecho ◽  
Jill Boruff ◽  
Trudy Wong ◽  
Francis Lacombe ◽  
Noemi Dahan-Oliel
Keyword(s):  
Outcome Measures ◽  
Scoping Review ◽  
Psychosocial Support ◽  
Pediatric Population ◽  
Psychosocial Outcomes ◽  
Arthrogryposis Multiplex Congenita ◽  
Emotional Wellbeing ◽  
Factors Associated ◽  
Psychosocial Wellbeing ◽  
Qualitative Approaches

Abstract Background Arthrogryposis multiplex congenita (AMC) is a group of congenital conditions characterized by joint contractures in two or more body areas. Management of AMC starts early in life and focuses on improving mobility and function through intensive rehabilitation and surgical interventions. Psychosocial wellbeing is an important determinant of health and the psychosocial experience of individuals with AMC should be considered in the management of this condition. The aim of this scoping review was to explore what is known about the psychosocial wellbeing of children and adults with AMC, to identify the outcome measures used and to explore the factors associated with psychosocial outcomes in this population. Methods A comprehensive search in four databases was conducted. Articles discussing psychosocial outcomes and outcome measures used with children or adults with AMC were included. Data on the measures used, psychosocial outcomes, and factors associated with psychosocial outcomes, were extracted and analyzed descriptively and synthesized narratively. Results Seventeen articles were included in this scoping review, ten including the pediatric population, six including adults and one article including both children and adults with AMC. The most commonly used outcome measures were the PODCI in the pediatric studies, and the SF-36 in studies on adults. In the pediatric studies, psychosocial outcomes were often secondary, compared to the studies on adults. Results showed that in both children and adults, psychosocial outcomes are comparable with the levels of the general population. Qualitative studies reflected the affective needs of this population and issues with emotional wellbeing. Factors such as fatigue and pain were associated with poorer psychosocial outcomes in adults with an impact on social relationships, intimacy and family planning. Conclusion Validated outcome measures, qualitative approaches and longitudinal studies are needed to better understand the psychosocial outcomes in AMC over time. Psychosocial support should be part of the multidisciplinary management of AMC throughout the lifespan.

Factors associated with physician consultation and medication use in children and adolescents with chronic pain: A scoping review and original data

2020 ◽  
Vol 25 (1) ◽  
pp. 88-106
Author(s):  
Anna Könning ◽  
Nicola Rosenthal ◽  
Michelle Friese ◽  
Gerrit Hirschfeld ◽  
Donnamay Brown ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Children And Adolescents ◽  
Scoping Review ◽  
Medication Use ◽  
Original Data ◽  
Factors Associated ◽  
Physician Consultation

scholarly journals Cognitive biases, environmental, patient and personal factors associated with critical care decision making: A scoping review

2021 ◽  
Author(s):  
Iris E. Beldhuis ◽  
Ramesh S. Marapin ◽  
You Yuan Jiang ◽  
Nádia F. Simões de Souza ◽  
Artemis Georgiou ◽  
...  
Keyword(s):  
Decision Making ◽  
Critical Care ◽  
Scoping Review ◽  
Cognitive Biases ◽  
Personal Factors ◽  
Factors Associated ◽  
Care Decision

A Scoping Review of Resilience in Survivors of Human Trafficking

2021 ◽  
pp. 152483802098556
Author(s):  
Logan Knight ◽  
Yitong Xin ◽  
Cecilia Mengo
Keyword(s):  
Interpersonal Relationships ◽  
Scoping Review ◽  
National Origin ◽  
Future Research ◽  
Research Needs ◽  
Standardized Measures ◽  
Factors Associated ◽  
Current State ◽  
Case Files ◽  
Sexual Trafficking

Resilience is critical among survivors of trafficking as they are mostly vulnerable populations who face multiple adversities before, during, and after trafficking. However, resilience in survivors of trafficking is understudied. This scoping review aims to clarify the current state of knowledge, focusing on definitions of resilience, how resilience has been studied, and factors associated with resilience among survivors. Five databases were searched using key words related to trafficking and resilience. Studies were included if they were published in English between 2000 and 2019 and focused on resilience with the study design including at least one of these four features: (a) use of standardized measures of resilience, (b) qualitative descriptions of resilience, (c) participants were survivors or professionals serving survivors, and (d) data sources such as case files or program manuals directly pertained to survivors. Eighteen studies were identified. Findings indicated that resilience was primarily described as emergent from interactions between the survivor and the environment. Resilience in trafficking appeared largely similar to resilience in other kinds of victimization. Nonetheless, trafficking survivors also may display resilience in alternative ways such as refusing treatment. Positive interpersonal relationships were the most commonly mentioned resilience factor. In addition, current research lacks studies featuring longitudinal designs, interventions, participatory methods, types of trafficking other than sexual trafficking, and demographic characteristics such as age, gender, and national origin. Future research needs to establish definitions and measures of resilience that are culturally and contextually relevant to survivors and build knowledge necessary for designing and evaluating resilience-enhancing interventions.

scholarly journals Practice of Telehealth in Otolaryngology: A Scoping Review in the Era of COVID-19

2021 ◽  
pp. 019459982110137
Author(s):  
Joseph N. Gonzalez ◽  
Lucas G. Axiotakis ◽  
Victoria X. Yu ◽  
David A. Gudis ◽  
Jonathan B. Overdevest
Keyword(s):  
Outcome Measures ◽  
Scoping Review ◽  
Medical Center ◽  
Randomized Study ◽  
Marked Change ◽  
Policy Decision ◽  
Columbia University ◽  
Group Assignment ◽  
Scoping Reviews ◽  
Full Text Review

Objective The COVID-19 pandemic has spurred widespread adoption and advancement in telehealth activities, representing a marked change in otolaryngology practice patterns. The present study undertakes a scoping review of research focused on telehealth in otolaryngology (teleotolaryngology) to identify key themes and commonly utilized outcome measures that will assist future development in this growing field. Data Sources PubMed, Embase, and Cochrane databases and reference review. Review Methods Per guidelines of the PRISMA Extension for Scoping Reviews, we performed database queries using a comprehensive search strategy developed in collaboration with research librarians at the Columbia University Irving Medical Center. We identified 596 unique references to undergo title and abstract review by 2 independent reviewers, leaving 439 studies for full-text review. Results We included 285 studies for extraction of notable findings, leaving 262 unique studies after accounting for content overlap. We identified core outcome measures, including patient and provider satisfaction, costs and benefits, quality of care, feasibility, and access to care. Publication volume increased markedly over time, though only 4% of studies incorporated randomized study group assignment. Using an iterative approach to thematic development, we organized article content across 5 main themes: (1) exploration of teleotolaryngology evolution, (2) role in virtual clinical encounters, (3) applications in interdisciplinary care and educational initiatives, (4) emerging and innovative technologies, and (5) barriers to implementation. Conclusion This scoping review of teleotolaryngology documents its evolution and identifies current use cases, limitations, and emerging applications, providing a foundation from which to build future studies, inform policy decision making, and facilitate implementation where appropriate.

scholarly journals Scoping review protocol: the use of telemedicine in providing opioid agonist treatment and related psychosocial supports

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040556
Author(s):  
Des Crowley ◽  
Robyn Homeniuk ◽  
Ide Delargy
Keyword(s):  
Scoping Review ◽  
Psychosocial Support ◽  
Descriptive Analysis ◽  
Cochrane Library ◽  
Opioid Use ◽  
Opioid Agonist ◽  
Opioid Agonist Treatment ◽  
Search Terms ◽  
Medical Librarian ◽  
The Cochrane Library

IntroductionThe global opioid-related disease burden is significant. Opioid agonist treatment (OAT) can be effective in reducing illicit opioid use and fatal overdose, and improving multiple health and social outcomes. Despite evidence for its effectiveness, there are significant deficits in OAT globally. COVID-19 has required rapid adaptation of remote models of healthcare. Telemedicine is not used routinely in OAT, and little is known about the current levels of use and effectiveness. The objective of this review is to describe models of telemedicine and their efficacy.Methods and analysisThis scoping review uses the review methodology described by Arksey and O’Malley and adapted by Levac et al. The search strategy developed by the medical librarian at the Irish College of General Practitioners in conjunction with the research team will involve five databases (PubMed, EMBASE, the Cochrane Library, PsycInfo and OpenGrey) and the hand searching of reference lists. A limited initial search of two databases will be completed to refine search terms, followed by a second comprehensive search using newly refined search terms of all databases and finally hand searching references of included studies. To be included, studies must report on remote ways of providing OAT (including assessment, induction and monitoring) or related psychosocial support; be published in English after 2010. Two researchers will independently screen titles, abstracts and full-text articles considered for inclusion. Data will be extracted onto an agreed template and will undergo a descriptive analysis of the contextual or process-oriented data and simple quantitative analysis using descriptive statistics.Ethics and disseminationResearch ethics approval is not required for this scoping review. The results of this scoping review will inform the development of a national remote model of OAT. The results will be published in peer-reviewed journals and presented at relevant conferences.

Pediatric Orbital Roof Fractures: A Ratio of Orbital Dimensions Correlated to Prevalence of Fracture

2020 ◽  
Author(s):  
Stephen C. Dryden ◽  
Andrew G. Meador ◽  
Andrew B. Johnston ◽  
Adrianna E. Eder ◽  
James C. Fleming ◽  
...  
Keyword(s):  
Outcome Measures ◽  
Pediatric Population ◽  
Relative Length ◽  
Orbital Floor ◽  
Orbital Fracture ◽  
Orbital Roof ◽  
Fracture Patterns ◽  
Gender And Age ◽  
The Mean ◽  
Orbital Roof Fractures

Abstract Objective Orbital roof fractures are more likely to occur in younger children, specifically younger than 7 years. Cranium to face ratio decreases with age; however, there is no definition for measurement of the neurocranium or face. We propose using the length of the orbital roof as a measurement of the neurocranium and length of the orbital floor as a tool to estimate midface size. The purpose of this study is to test this measurement as a correlation rate of orbital roof fractures within the pediatric population. Design This is a retrospective study. Setting This study was done at the LeBonheur Children's Hospital. Participants Sixty-six patients with orbital roof fractures were identified and stratified by gender and age, specifically younger than 7 years and 7 years or older. Main Outcome Measures The main outcome measures were orbital roof length, floor length, and ratio thereof. Results Mean orbital roof length was 43.4 ± 3.06 and 45.1 ± 3.94 mm for patients <7 and ≥7 years, respectively (p = 0.02). Mean orbital floor length was 41.3 ± 2.99 and 47.7 ± 4.19 for patients <7 and ≥7 years, respectively (p < 0.00001). The mean roof to floor ratio (RTFR) for patients <7 years was 1.051 ± 0.039 and for patients ≥ 7 years was 0.947 ± 0.031 (p < 0.00001). Conclusion As children age, the relative length of the orbital roof decreases when compared with the orbital floor. The RTFR was more than 1.0 in children younger than 7 years. These differences were statistically significant when compared with children 7 years and older. This measurement shift follows the differences noted in orbital fracture patterns during childhood.

Artificial Intelligence in Predicting Cardiac Arrest: A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Asma Alamgir ◽  
Osama Mousa 2nd ◽  
Zubair Shah 3rd
Keyword(s):  
Artificial Intelligence ◽  
At Risk ◽  
Cardiac Arrest ◽  
Scoping Review ◽  
Pediatric Population ◽  
Data Extraction ◽  
Warning System ◽  
Reference List ◽  
Evaluation Tool ◽  
Patients At Risk

BACKGROUND Cardiac arrest is a life-threatening cessation of heart activity. Early prediction of cardiac arrest is important as it provides an opportunity to take the necessary measures to prevent or intervene during the onset. Artificial intelligence technologies and big data have been increasingly used to enhance the ability to predict and prepare for the patients at risk. OBJECTIVE This study aims to explore the use of AI technology in predicting cardiac arrest as reported in the literature. METHODS Scoping review was conducted in line with guidelines of PRISMA Extension for Scoping Review (PRISMA-ScR). Scopus, Science Direct, Embase, IEEE, and Google Scholar were searched to identify relevant studies. Backward reference list checking of included studies was also conducted. The study selection and data extraction were conducted independently by two reviewers. Data extracted from the included studies were synthesized narratively. RESULTS Out of 697 citations retrieved, 41 studies were included in the review, and 6 were added after backward citation checking. The included studies reported the use of AI in the prediction of cardiac arrest. We were able to classify the approach taken by the studies in three different categories - 26 studies predicted cardiac arrest by analyzing specific parameters or variables of the patients while 16 studies developed an AI-based warning system. The rest of the 5 studies focused on distinguishing high-risk cardiac arrest patients from patients, not at risk. 2 studies focused on the pediatric population, and the rest focused on adults (n=45). The majority of the studies used datasets with a size of less than 10,000 (n=32). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (n=38) and the most used algorithm belonged to the neural network (n=23). K-Fold cross-validation was the most used algorithm evaluation tool reported in the studies (n=24). CONCLUSIONS : AI is extensively being used to predict cardiac arrest in different patient settings. Technology is expected to play an integral role in changing cardiac medicine for the better. There is a need for more reviews to learn the obstacles of implementing AI technologies in the clinical setting. Moreover, research focusing on how to best provide clinicians support to understand, adapt and implement the technology in their practice is also required.

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