scholarly journals The nature and scope of patient-sharing network research: a novel, important area for network science

2018 ◽  
Vol 8 (4) ◽  
pp. 626-628 ◽  
Author(s):  
Rebecca Robbins ◽  
Azizi Seixas ◽  
Antoinette Schoenthaler

Abstract A robust literature exists that draws on social network approaches to understand connections among individuals, and healthcare and behavior-related implications. This article offers commentary on the scoping review conducted by Dugoff et al. that examines “patient-sharing” networks, their characteristics, and various methodological approaches. The scoping review conducted by Dugoff et al. examines the characteristics and methods employed in patient-sharing network studies. It identified the most common measures used in patient-sharing network research, as well as theories used in patient-sharing network studies. Dugoff et al. also identified many studies that examined healthcare utilization considerations for patient sharing. Understanding the connections between providers and the flow of patients between providers could lend insight into barriers and enablers to efficient healthcare systems.

2021 ◽  
Vol 12 ◽  
Author(s):  
Marieke Wichers ◽  
Harriëtte Riese ◽  
Taylor M. Hodges ◽  
Evelien Snippe ◽  
Fionneke M. Bos

The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment.


2021 ◽  
Author(s):  
René Veenstra ◽  
Gijs Huitsing

Social network research is the way to examine bullying as a group process. Cross-sectional network studies allow us to examine who bullies whom or who defends whom, as well as the agreement on these dyadic relationships. Longitudinal network studies allow us to particularly examine selection and influence processes. The longitudinal studies with the most power have shown that selection and influence processes play a role for bullies. For victims, selection and influence processes have been found in adolescence (secondary education), but not in childhood (elementary education). Social network dynamics in bullying and victimization can also be linked to research on the impact of social norms or the evaluation of an intervention. Recent studies have also started to examine interdependencies between multiple positive and negative relationships. Most social network research on bullying and victimization has been done in late childhood or early adolescence. A few studies, however, have shown that it is also feasible to examine network-behavior dynamics at younger ages. Further research is necessary on whether and how individuals in a network, relationship patterns, or the entire network structure can be targeted by interventions.


2019 ◽  
Vol 42 ◽  
Author(s):  
Jeffrey R. Alberts ◽  
Christopher Harshaw ◽  
Gregory E. Demas ◽  
Cara L. Wellman ◽  
Ardythe L. Morrow

Abstract We identify the significance and typical requirements of developmental analyses of the microbiome-gut-brain (MGB) in parents, offspring, and parent-offspring relations, which have particular importance for neurobehavioral outcomes in mammalian species, including humans. We call for a focus on behavioral measures of social-emotional function. Methodological approaches to interpreting relations between the microbiota and behavior are discussed.


Author(s):  
Kinga Topolska ◽  
Adam Florkiewicz ◽  
Agnieszka Filipiak-Florkiewicz

This review provides insight into consumer attitudes toward functional food (FF), with the purpose of better understanding the needs and behavior regarding this kind of product. A total of 47 articles were selected for this paper. The available studies from last 20 years differ according to the focus (awareness, attitudes, motivations, willingness, acceptance by consumers) and methodologies used. Several factors, including socio-demographic, cognitive and attitudinal ones, seem to be serve as the basis for the acceptance of functional products. The research papers showed that nutritional knowledge is the most important of these. Older people are more interested in functional products than younger consumers, because of their stronger belief in the health benefits of FF. Moreover, women are more open to compromise between taste and health properties. Claims concerning the disease preventative properties of FF are the most attractive for consumers. This review focuses also on future perspectives for the functional food market. Adequate knowledge and evidence-based communication seem to be the most promising ways to increase consumers’ interest in these kinds of products.


Author(s):  
Sharon C Perelman ◽  
Steven Erde ◽  
Lynda Torre ◽  
Tunaidi Ansari

Abstract COVID-19 quickly immobilized healthcare systems in the United States during the early stages of the outbreak. While much of the ensuing response focused on supporting the medical infrastructure, Columbia University College of Dental Medicine pursued a solution to triage and safely treat patients with dental emergencies amidst the pandemic. Considering rapidly changing guidelines from governing bodies, dental infection control protocols and our clinical faculty's expertise, we modeled, built, and implemented a screening algorithm, which provides decision support as well as insight into COVID-19 status and clinical comorbidities, within a newly integrated Electronic Health Record (EHR). Once operationalized, we analyzed the data and outcomes of its utilization and found that it had effectively guided providers in triaging patient needs in a standardized methodology. This article describes the algorithm's rapid development to assist faculty providers in identifying patients with the most urgent needs, thus prioritizing treatment of dental emergencies during the pandemic.


2021 ◽  
Vol 38 (4) ◽  
pp. 1410-1429
Author(s):  
Claire Wilson ◽  
Tommy van Steen ◽  
Christabel Akinyode ◽  
Zara P. Brodie ◽  
Graham G. Scott

Technology has given rise to online behaviors such as sexting. It is important that we examine predictors of such behavior in order to understand who is more likely to sext and thus inform intervention aimed at sexting awareness. We used the Theory of Planned Behavior (TPB) to examine sexting beliefs and behavior. Participants (n = 418; 70.3% women) completed questionnaires assessing attitudes (instrumental and affective), subjective norms (injunctive and descriptive), control perceptions (self-efficacy and controllability) and intentions toward sexting. Specific sexting beliefs (fun/carefree beliefs, perceived risks and relational expectations) were also measured and sexting behavior reported. Relationship status, instrumental attitude, injunctive norm, descriptive norm and self-efficacy were associated with sexting intentions. Relationship status, intentions and self-efficacy related to sexting behavior. Results provide insight into the social-cognitive factors related to individuals’ sexting behavior and bring us closer to understanding what beliefs predict the behavior.


2021 ◽  
pp. 1-22
Author(s):  
Feliciano Villar ◽  
Rodrigo Serrat ◽  
Michael W. Pratt

Abstract Research on later-life generativity has promoted a new view of older persons that, far from the traditional images of disability, dependence and frailty, recognises their capacities, and potential to continue growing, while underlining their participation and contributions to families, communities and society. The goal of this study was to carry out a scoping review on later-life generativity, the first one conducted on this topic as far as we know, to show how studies in this area have evolved, which aspects of generativity in later life have been studied, and the methodological and epistemological approaches that are dominant in this area of inquiry. Our scoping review shows that research into generativity in later life has grown steadily over the past 30 years, and particularly during the last decade. However, our results also show how such growing interest has focused on certain methodological approaches, epistemological frameworks and cultural contexts. We identify four critical gaps and leading-edge research questions that should be at the forefront of future research into generativity in later life, gaps that reflect biases in the existing literature identified in the study. These are classified as methodological, developmental, contextual and ‘dark-side’ gaps.


2021 ◽  
Vol 2 ◽  
Author(s):  
Maarit Karhula ◽  
Sari Saukkonen ◽  
Essi Xiong ◽  
Anu Kinnunen ◽  
Tuija Heiskanen ◽  
...  

Background: The International Classification of Functioning, Disability and Health (ICF) classification is a biopsychosocial frame of reference that contributes to a holistic understanding of the functioning of a client and the factors involved. Personal factors (PFs) are not currently classified in the ICF due to large societal and cultural diversity and lack of clarity in the scope of such factors.Aims: To ascertain which factors in the ICF classification have been defined as PFs in different studies and what conclusions have been drawn on their role in the ICF classification.Methods: The study was a scoping review. A systematic search for articles published in 2010–2020 was performed on the Cinahl, Pubmed, ScienceDirect, and Sport Discus databases. The PFs specified in the articles were classified according to the seven categories proposed by Geyh et al. socio-demographic factors; position in the immediate social and physical context; personal history and biography; feelings; thoughts and beliefs; motives; and general patterns of experience and behavior.Results: The search yielded 1,988 studies, of which 226 met the inclusion criteria. The studies had addressed a wide variety of PFs that were linked to all seven categories defined by Geyh et al. Some studies had also defined PFs that were linkable to other components of the ICF or that did not describe functioning. Approximately 22% (51) of the studies discussed the role of PFs in rehabilitation.Conclusions: The range of PFs in the ICF classification addressed in the reviewed studies is wide. PFs play an important role in rehabilitation. However, according to the reviewed studies, a more precise coding of PFs is not yet warranted.


2018 ◽  
Author(s):  
Mian Zhang ◽  
Yuhong Ji

A problem facing healthcare record systems throughout the world is how to share the medical data with more stakeholders for various purposes without sacrificing data privacy and integrity. Blockchain, operating in a state of consensus, is the underpinning technology that maintains the Bitcoin transaction ledger. Blockchain as a promising technology to manage the transactions has been gaining popularity in the domain of healthcare. Blockchain technology has the potential of securely, privately, and comprehensively manage patient health records. In this work, we discuss the latest status of blockchain technology and how it could solve the current issues in healthcare systems. We evaluate the blockchain technology from the multiple perspectives around healthcare data, including privacy, security, control, and storage. We review the current projects and researches of blockchain in the domain of healthcare records and provide the insight into the design and construction of next generations of blockchain-based healthcare systems.


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