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Perspectives on Behavior Science Dec 2023Although the term is used colloquially in the English language, it refers to a specific instance of verbal behavior within behavior analysis. Since Horne and Lowe's... (Review)
Review
Although the term is used colloquially in the English language, it refers to a specific instance of verbal behavior within behavior analysis. Since Horne and Lowe's (Horne & Lowe, 1996) seminal account on naming, the concept continues to generate clinical and research interest to-date. We conducted a systematic search of the behavior analytic studies on naming to highlight the methods that were used to test naming, the terminology that have been adopted, the conceptual underpinnings, and the methods used to train naming if it was found to be absent. Forty-six studies met inclusion criteria and we conducted a descriptive analysis of these studies. We found that most studies either used the terms naming or bidirectional naming. We found wide variation in the methods used to test and train naming. Nearly one third of these studies attempted to offer evidence that naming facilitated some other type of behavior, and the remaining studies attempted to train naming in individuals when the behavior was found to be absent. Overall, our review highlighted that there exists a rich empirical dataset on testing and training naming within behavior analysis, and we discussed specific areas for future research.
PubMed: 38144546
DOI: 10.1007/s40614-023-00374-1 -
Eating and Weight Disorders : EWD Aug 2023Pregorexia is a phenomenon posited to occur in the peripartum, characterized by an attempt to counter pregnancy's physiological changes in body shape through reduced... (Meta-Analysis)
Meta-Analysis Review
PURPOSE
Pregorexia is a phenomenon posited to occur in the peripartum, characterized by an attempt to counter pregnancy's physiological changes in body shape through reduced calorie intake or increased physical activity.
METHODS
In this pre-registered systematic review and meta-analysis, body image dissatisfaction and eating psychopathology in the peripartum according to gestational age were formally assessed. PubMed was searched up to May 2023. Selection criteria were represented by studies on body image concerns or eating psychopathology in the peripartum (up to 1 year after delivery). The population needed to include women from the general population or among patients with a history of (or current) eating disorder. For the meta-analysis, 17 studies were included: 10 for body image dissatisfaction (2625 individuals overall), 7 for eating behaviors (2551 individuals overall). The interplay between body image and the following themes was examined in depth: the adoption of breastfeeding, peripartum depression, sociocultural influences on body image, sexual disturbances, experiencing or reporting an altered food intake.
RESULTS
Progressive dissatisfaction with body image during pregnancy by gestational age was observed, stably elevated for at least 12 months postpartum. Eating psychopathology was observed as elevated only at 12 months in the postpartum, but not during pregnancy.
DISCUSSION
The current work offers normative values of body image satisfaction and eating psychopathology in the peripartum by gestational age. The relevance of current results was discussed, in order to inform both current clinical practice and future public policies.
LEVEL OF EVIDENCE
Level I-Evidence obtained from: systematic reviews and meta-analyses.
Topics: Female; Humans; Pregnancy; Body Dissatisfaction; Body Image; Feeding and Eating Disorders; Gestational Age; Peripartum Period
PubMed: 37526698
DOI: 10.1007/s40519-023-01595-8 -
JMIR Medical Informatics May 2024With the increasing availability of data, computing resources, and easier-to-use software libraries, machine learning (ML) is increasingly used in disease detection and... (Review)
Review
BACKGROUND
With the increasing availability of data, computing resources, and easier-to-use software libraries, machine learning (ML) is increasingly used in disease detection and prediction, including for Parkinson disease (PD). Despite the large number of studies published every year, very few ML systems have been adopted for real-world use. In particular, a lack of external validity may result in poor performance of these systems in clinical practice. Additional methodological issues in ML design and reporting can also hinder clinical adoption, even for applications that would benefit from such data-driven systems.
OBJECTIVE
To sample the current ML practices in PD applications, we conducted a systematic review of studies published in 2020 and 2021 that used ML models to diagnose PD or track PD progression.
METHODS
We conducted a systematic literature review in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed between January 2020 and April 2021, using the following exact string: "Parkinson's" AND ("ML" OR "prediction" OR "classification" OR "detection" or "artificial intelligence" OR "AI"). The search resulted in 1085 publications. After a search query and review, we found 113 publications that used ML for the classification or regression-based prediction of PD or PD-related symptoms.
RESULTS
Only 65.5% (74/113) of studies used a holdout test set to avoid potentially inflated accuracies, and approximately half (25/46, 54%) of the studies without a holdout test set did not state this as a potential concern. Surprisingly, 38.9% (44/113) of studies did not report on how or if models were tuned, and an additional 27.4% (31/113) used ad hoc model tuning, which is generally frowned upon in ML model optimization. Only 15% (17/113) of studies performed direct comparisons of results with other models, severely limiting the interpretation of results.
CONCLUSIONS
This review highlights the notable limitations of current ML systems and techniques that may contribute to a gap between reported performance in research and the real-life applicability of ML models aiming to detect and predict diseases such as PD.
PubMed: 38771237
DOI: 10.2196/50117 -
Administration and Policy in Mental... Dec 2023Measurement feedback systems (MFS) can help guide treatment and improve clinical outcomes. Studies of MFS are heterogeneous both in execution and results, and the...
Measurement feedback systems (MFS) can help guide treatment and improve clinical outcomes. Studies of MFS are heterogeneous both in execution and results, and the effects of MFS seem restricted by limited attention to process and implementation elements and by limited adoption by health professionals. The current systematic review mapped the use of process and implementation elements in MFS studies. An overview of therapists' use of and attitudes toward MFS is provided. Three-level meta-analyses were used to test theoretically informed process and implementation elements as moderators of the effects of MFS. Hypotheses and general propositions from Clinical Performance Feedback Intervention Theory (CP-FIT) were used to organize the elements of the studies and were used as moderator variables. Previous studies on MFS interventions have had a limited focus on implementation efforts and process elements that may increase the effects of MFS and their use among therapists. Efforts have sparsely been made to reduce barriers to MFS use, and several studies have reported limited engagement with MFS among therapists. Therapists' attitudes toward MFS, feedback, or standardized measures were heterogeneously reported, making data synthesis challenging. Identified process and implementation elements were not significantly associated with effect sizes in the studies and the results did not support the propositions of CP-FIT. The lack of statistically significant associations may be due to limited reporting of details about process and implementation aspects. More research designed to test hypotheses regarding process and implementation elements is needed to improve the use and effects of MFS. Future studies should aspire to report findings in a manner that allows for an understanding of the implementation process and therapists' adoption of these systems.
PubMed: 38153585
DOI: 10.1007/s10488-023-01325-3 -
Journal of Advanced Nursing Aug 2023Healthcare systems are responsible for 4%-5% of the emissions of greenhouse gases worldwide. The Greenhouse Gas Protocol divides carbon emissions into three scopes:... (Review)
Review
UNLABELLED
Healthcare systems are responsible for 4%-5% of the emissions of greenhouse gases worldwide. The Greenhouse Gas Protocol divides carbon emissions into three scopes: scope 1 or direct emissions secondary to energy use; scope 2 or indirect emissions secondary to purchased electricity; and scope 3 for the rest of indirect emissions.
AIM
To describe the environmental impact of health services.
DESIGN
A systematic review was conducted in the Medline, Web of Science, CINAHL, and Cochrane databases. Studies that focused their analysis on a functional healthcare unit and which included. This review was conducted from August to October 2022.
RESULTS
The initial electronic search yielded a total of 4368 records. After the screening process according to the inclusion criteria, 13 studies were included in this review. The reviewed studies found that between 15% and 50% of the total emissions corresponded to scopes 1 and 2 emissions, whereas scope 3 emissions ranged between 50% and 75% of the total emissions. Disposables, equipment (medical and non-medical) and pharmaceuticals represented the higher percentage of emissions in scope 3.
CONCLUSION
Most of the emissions corresponded to scope 3, which includes the indirect emission occurring as a consequence of the healthcare activity, as this scope includes a wider range of emission sources than the other scopes.
IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE
Interventions should be carried out by the healthcare organizations responsible of Greenhouse Gas emissions, and also every single individual that integrates them should make changes. The use of evidence-based approaches to identify carbon hotspots and implement the most effective interventions in the healthcare setting could lead to a significant reduction of carbon emissions.
IMPACT
This literature review highlights the impact that healthcare systems have on climate change and the importance of adopting and carrying out interventions to prevent its fast development.
REPORTING METHOD
This review adhered to PRISMA guideline. PRISMA 2020 is a guideline designed for systematic reviews of studies that analyse the effects of heath interventions, and aim is to help authors improve the reporting of systematic review and meta-analyses.
PATIENT OR PUBLIC CONTRIBUTION
No Patient or Public Contribution.
Topics: Humans; Carbon Footprint; Greenhouse Gases; Delivery of Health Care; Carbon
PubMed: 37198974
DOI: 10.1111/jan.15671 -
Disability and Rehabilitation.... Nov 2023Exoskeleton can assist individuals with spinal cord injuries (SCI) with simple movements and transform their lives by enhancing strength and mobility. Nonetheless, the... (Review)
Review
PURPOSE
Exoskeleton can assist individuals with spinal cord injuries (SCI) with simple movements and transform their lives by enhancing strength and mobility. Nonetheless, the current utilization outside of rehabilitation contexts is limited. To promote the widespread adoption of exoskeletons, it is crucial to consider the acceptance of these devices for both rehabilitation and functional purposes. This systematic review aims to identify the barriers or facilitators of the use of lower limbs exoskeletons, thereby providing strategies to improve interventions and increase the adoption of these devices.
METHODS
A comprehensive search was conducted in EMBASE, Web of Science, Scopus, Cochrane, and PubMed. Studies reporting barriers and facilitators of exoskeleton use were included. The studies' quality was assessed using the Mixed Methods Appraisal Tool and undertook a thematic content analysis for papers examining the barriers and facilitators.
RESULTS
Fifteen articles met the inclusion criteria. These revealed various factors that impact the utilization of exoskeletons. Factors like age, engagement in an active lifestyle, and motivation were identified as facilitators, while fear of falling and unfulfilled expectations were recognized as barriers. Physical aspects such as fatigue, neuropathic discomfort, and specific health conditions were found to be barriers.
CONCLUSION
This systematic review provides a comprehensive overview of the barriers and facilitators to the use of exoskeleton technology. There are therefore still challenges to be faced, efforts must be made to improve its design, functionality, and accessibility. By addressing these barriers, exoskeletons can significantly improve the quality of life of people with SCI.
PubMed: 38009458
DOI: 10.1080/17483107.2023.2287153 -
Frontiers in Public Health 2024Gambling disorder (GD) is a pressing public health concern with significant societal costs. The recently developed nudge theory, which is rooted in behavioral economics,... (Review)
Review
BACKGROUND
Gambling disorder (GD) is a pressing public health concern with significant societal costs. The recently developed nudge theory, which is rooted in behavioral economics, aims to influence the decision-making behaviors of individuals by implementing changes in the environment.
AIM
This scoping review aims to synthesize the literature on nudge theory as it relates to gambling.
METHODS
This scoping review accords with the Arksey and O'Malley framework, as refined by Levac et al. It includes only articles from peer-reviewed journals that focus, as main themes, on both nudge theory and gambling. The final study selection includes six articles.
RESULTS
The scoping review process led to studies explaining how (1) nudges aim to prod people toward healthier gambling choices, fostering the adoption of more responsible gambling practices, and (2) some gambling features, called dark nudges (or sludges), exploit and harm the decision-making processes of people who gamble.
CONCLUSION
This scoping review highlights the fact that many stakeholders are involved in the field of gambling, and that better cooperation between them would promote safer and more responsible gambling practices. Future research is also needed to empirically test nudges to develop a better understanding of their impact on those who gamble.
Topics: Gambling; Humans; Decision Making; Psychological Theory; Choice Behavior; Behavior, Addictive; Economics, Behavioral
PubMed: 38915754
DOI: 10.3389/fpubh.2024.1377183 -
Frontiers in Psychology 2023Cognitive tele-assessment (CTA) adoption has increased considerably recently, in parallel with the maturation of the digital technologies that enable it, and the push to...
Cognitive tele-assessment (CTA) adoption has increased considerably recently, in parallel with the maturation of the digital technologies that enable it, and the push to move assessment to the online format during the COVID-19 pandemic in 2019. This mode of assessment stems from remote assessment applications that originated in general tele-medicine, where it was typically used for patient screening as part of an intervention. The development of remote tele-medicine was later adapted for CTA in adult populations in tele-neuropsychiatry and tele-psychology and is increasingly applied in experimental research in cognitive science research with adult and pediatric populations, and for remote academic assessment. Compared to in-person assessment, CTA offers advantages such as decreasing time and logistic costs and facilitating the assessment of remote or special needs populations. However, given the novelty of CTA, its technical, methodological, and ethical issues remain poorly understood, especially in cases where methods for assessment of adults are used in pediatric populations. In the current paper, we provide a scoping review on the evolution of remote tele-assessment from the years 2000 to 2021, to identify its main themes, methodologies, and applications, and then focus on the issues of assessment in pediatric populations. Finally, we present recommendations on how to address the challenges previously mentioned.
PubMed: 38162979
DOI: 10.3389/fpsyg.2023.1288021 -
Cureus Sep 2023Blockchain technology has gained attention as a potential solution for improving data security, privacy, and interoperability in various industries, including... (Review)
Review
Blockchain technology has gained attention as a potential solution for improving data security, privacy, and interoperability in various industries, including healthcare. In the field of dentistry, the implementation of blockchain holds promise for transforming dental practice and management. However, a comprehensive evaluation of the existing literature regarding the implementation of blockchain technology in dental practice is lacking. This systematic review aimed to assess the current evidence on the implementation of blockchain technology in dental practice and management. A systematic literature search was conducted using major databases to identify relevant studies. The search strategy included keywords related to blockchain technology and dentistry. The investigation was performed as per the PRISMA guidelines. Studies reporting on the implementation, adoption, and outcomes of blockchain technology in dental practice and management were included. Quality assessment and data extraction were performed following predefined criteria. The initial search yielded a multitude of articles, and after applying the inclusion and exclusion criteria, six studies were included in the systematic review. The studies explored various aspects of blockchain technology implementation in dental practice, including data security, interoperability, supply chain management, and patient consent management. Furthermore, the use of blockchain-based systems showed potential benefits in enhancing supply chain management efficiency and patient consent authentication. This systematic review provided insights into the current state of blockchain technology implementation in dental practice and management. The findings suggested that blockchain technology has the potential to enhance data security, privacy, and interoperability in dental practices. However, further research and real-world implementation studies are needed to fully understand the impact of blockchain technology on dental practice and to address the existing challenges.
PubMed: 37868487
DOI: 10.7759/cureus.45512 -
Heliyon Jan 2024This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic... (Review)
Review
This study aimed at determining the effects of technology adoption on farmers' well-being. Specifically, we analysed and extended the current understanding of the topic by focusing on the concepts of technology adoption and well-being. The data were sourced from 30 papers that were selected based on specific criteria from the WoS and Scopus databases. They were acquired through a systematic search and quality appraisal process. The adopted technology can be grouped into sustainable agricultural practices and innovations, digital agriculture and information technology, precision farming and resource management, financial inclusion and agricultural transactions, remote sensing and satellite technology, and agricultural programs and initiatives. Most papers indicated that technology adoption improved farmers' well-being which was basically measured using productivity and income. The measure however lacked farmers' value judgments, such as happiness. Agricultural technology could have a mixed effect on farmers' well-being, depending on the type of technology adopted and the compatibility of farmers with technology in their agricultural practices. This study will assist researchers in developing an appropriate framework and strategy to improve farmers' welfare, which can alleviate poverty. These may further help policymakers identify the best technological innovations that can improve farmers' economic and social welfare, thereby facilitating the development of plans to meet farmers' needs and interests. Finally, the study suggested future research directions for researchers and academics.
PubMed: 38312653
DOI: 10.1016/j.heliyon.2024.e24316