Workforce Diversity in Eating Disorders: A Multi-Methods Study.
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ABSTRACT:
SUBMITTER: Jennings Mathis K
PROVIDER: S-EPMC7541546 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe primary care setting offers an attractive opportunity for, not only the identification of pediatric eating disorders, but also the delivery of evidence-based treatment. However, constraints of this setting pose barriers for implementing treatment. For interventions to be successful, they need to take into consideration the perspectives of stakeholders. As such, the purpose of this study was to examine in-depth primary care providers' perspective of challenges to identifying and managing eating disorders in the primary care setting.MethodsThis mixed methods study surveyed 60 Pediatric and Family Medicine providers across 6 primary care practices. Sixteen of these providers were further interviewed using a qualitative, semi-structured interview.ResultsProviders (n = 60, response rate of 45%) acknowledged the potential of primary care as a point of contact for early identification and treatment of pediatric eating disorders. They also expressed that this was an area of need in their practices. They identified numerous barriers to successful implementation of evidence-based treatment in this setting including scarcity of time, knowledge, and resources.ConclusionsInvestigations seeking to build capacities in primary care settings to address eating disorders must address these barriers.
| S-EPMC7807397 | biostudies-literature
Project description:Exome sequencing in eating disorders
| PRJNA395281 | ENA
Project description:BackgroundNetwork science represents a powerful and increasingly promising method for studying complex real-world problems. In the last decade, it has been applied to psychometric data in the attempt to explain psychopathologies as complex systems of causally interconnected symptoms. One category of mental disorders, relevant for their severity, incidence and multifaceted structure, is that of eating disorders (EDs), serious disturbances that negatively affect a person's eating behavior.AimsWe aimed to review the corpus of psychometric network analysis methods by scrutinizing a large sample of network-based studies that exploit psychometric data related to EDs. A particular focus is given to the description of the methodologies for network estimation, network description and network stability analysis providing also a review of the statistical software packages currently used to carry out each phase of the network estimation and analysis workflow. Moreover, we try to highlight aspects with potential clinical impact such as core symptoms, influences of external factors, comorbidities, and related changes in network structure and connectivity across both time and subpopulations.MethodsA systematic search was conducted (February 2022) on three different literature databases to identify 57 relevant research articles. The exclusion criteria comprehended studies not based on psychometric data, studies not using network analysis, studies with different aims or not focused on ED, and review articles.ResultsAlmost all the selected 57 papers employed the same analytical procedures implemented in a collection of R packages specifically designed for psychometric network analysis and are mostly based on cross-sectional data retrieved from structured psychometric questionnaires, with just few exemptions of panel data. Most of them used the same techniques for all phases of their analysis. In particular, a pervasive use of the Gaussian Graphical Model with LASSO regularization was registered for in network estimation step. Among the clinically relevant results, we can include the fact that all papers found strong symptom interconnections between specific and nonspecific ED symptoms, suggesting that both types should therefore be addressed by clinical treatment.ConclusionsWe here presented the largest and most comprehensive review to date about psychometric network analysis methods. Although these methods still need solid validation in the clinical setting, they have already been able to show many strengths and important results, as well as great potentials and perspectives, which have been analyzed here to provide suggestions on their use and their possible improvement.
| S-EPMC9621460 | biostudies-literature
Project description:BackgroundResilience research to date has been criticised for its consideration of resilience as a personal trait instead of a process, and for identifying individual factors related to resilience with no consideration of the ecological context. The overall aim of the current study was to explore the multi-level process through which adults recovering from EDs develop resilience, from the perspectives of clients and clinicians. The objective of this research was to outline the stages involved in the process of developing resilience, which might help to inform families and services in how best to support adults with EDs during their recovery.MethodThirty participants (15 clients; 15 clinicians) took part in semi-structured interviews, and responded to questions relating to factors associated with resilience. Using an inductive approach, data were analysed using reflexive thematic analysis.ResultsThe overarching theme which described the process of developing resilience was 'Bouncing back to being me', which involved three stages: 'Who am I without my ED?', 'My eating disorder does not define me', and 'I no longer need my eating disorder'. Twenty sub-themes were identified as being involved in this resilience process, thirteen of which required multi-level involvement.ConclusionThis qualitative study provided a multi-level resilience framework for adults recovering from eating disorders, that is based on the experiences of adults with eating disorders and their treating clinicians. This framework provided empirical evidence that resilience is an ecological process involving an interaction between internal and external factors occurring between adults with eating disorder and their most immediate environments (i.e. family and social). Anorexia nervosa, bulimia nervosa and binge-eating disorder demonstrate high rates of symptom persistence across time and poor prognosis for a significant proportion of individuals affected by these disorders, including health complications and increased risk of mortality. Many researchers have attempted to explore how to improve recovery outcomes for this population. Eating disorder experts have emphasised the need to focus not only on the weight indicators and eating behaviours that sustain the eating disorder during recovery, but also on the psychological well-being of the person recovering. One way to achieve this is to focus on resilience, which was identified as a fundamental aspect of eating disorder recovery in previous research. This study conceptualises resilience as a dynamic process that is influenced not only at a personal level but also through the environment in which the person lives. This study gathered data from adults with eating disorders and their treating clinicians, to devise a framework for resilience development for adults recovering from eating disorders. The paper discussed ways in which these findings and the framework identified can be easily implemented in clinical practice to facilitate a better understanding of eating disorder resilience and to enhance recovery outcomes.
| S-EPMC8191215 | biostudies-literature
Project description:Although previous research has supported the importance of anxiety as an etiological and maintenance factor for eating disorders, the specific mechanisms are not well understood. The role of anxiety in the context of eating behavior is especially unclear. The purpose of this study was to identify anxiety-eliciting eating situations and anxiety management strategies patients use to mitigate anxiety experienced in the context of eating as determined by diagnostic groups and symptom patterns. Fifty-three eating disorder outpatients were administered the Eating and Anxiety Questionnaire (EAQ) and the Eating Disorder Diagnostic Scale. Ratings indicated significant anxiety in most eating situations, whereas management strategies were more limited yet regularly employed. Factor analysis of the EAQ revealed a 6-factor solution for anxiety management strategies and a 4-factor solution for anxiety-eliciting situations. These results indicate patients with eating disorders report high levels of anxiety associated with eating behaviors but utilize limited yet consistent anxiety management strategies. Effective intervention strategies for managing eating-related anxiety should be incorporated into treatment and may need to be specified for different diagnostic subgroups.
| S-EPMC5558599 | biostudies-other
Project description:There is increasing recognition of the limitations of current approaches to psychiatric classification. Nowhere is this more apparent than in the eating disorders (EDs). Several alternative methods of classifying EDs have been proposed, which can be divided into two major groups: 1) those that have classified individuals on the basis of disordered eating symptoms; and, 2) those that have classified individuals on the basis of comorbid psychopathology and associated features. Several reviews have addressed symptom-based approaches to ED classification, but we are aware of no paper that has critically examined comorbidity-based systems. Thus, in this paper, we review models of classifying EDs that incorporate information about comorbid psychopathology and associated features. Early approaches are described first, followed by more recent scholarly contributions to comorbidity-based ED classification. Importantly, several areas of overlap among the classification schemes are identified that may have implications for future research. In particular, we note similarities between early models and newer studies in the salience of impulsivity, compulsivity, distress, and inhibition versus risk taking. Finally, we close with directions for future work, with an emphasis on neurobiologically-informed research to elucidate basic behavioral and neuropsychological correlates of comorbidity-based ED classes, as well as implications for treatment.
| S-EPMC3594041 | biostudies-literature
Project description:IntroductionAlthough the sustainability of the health workforce has been identified as essential to achieving health and wider development objectives, challenges with securing and retaining the healthcare workforce persist. In the UK, there are notable shortages across a wide range of National Health Service (NHS) staff groups, with a high staff turnover indicating retention issues in the healthcare workforce. In addition, gaps exist in understanding the root cause of individual organisation's workforce deficiencies and how their practice environment factors interact to impact workforce recruitment and retention.Methods and analysisAn exploratory mixed-methods approach will be conducted to investigate the impact of organisational practice environment factors on healthcare workforce recruitment and retention in two Integrated Care Systems (ICS) in the East of England. We will conduct an online survey of newly qualified and established nurses and allied health professionals using a questionnaire adapted from two validated instruments. Our calculation suggests a sample size of 373 participants, we will aim to surpass this in our recruitment to strengthen the statistical analyses. Multilevel linear regression models will be fitted to evaluate the association between organisational practice environmental factors and staff recruitment and retention. The qualitative interviews will explore the experiences and perspectives of staff and senior leaders to explain the survey results and any significant associations therein. Also, the interviews will explore how to strengthen the partnership between higher education institutions, Health Education England, health and care service providers, NHS nursing and allied health professional staff to enhance recruiting and retaining staff. An exploratory inductive coding and analysis will follow Braun and Clarke's recommendations to generate key themes from transcribed interview data.Ethics and disseminationEthical approval has been obtained through the University of Suffolk Research Ethics Committee (approval number: RETH(S)22/051). Findings from our work will be disseminated through publications in peer-reviewed journals; presentations at stakeholders' events, professional and academic conferences; and short reports for stakeholders, including participating ICSs.
| S-EPMC10860040 | biostudies-literature
Project description:BackgroundThe Eating Disorders Genetics Initiative (EDGI) is an international investigation exploring the role of genes and environment in anorexia nervosa, bulimia nervosa, and binge-eating disorder.MethodsA total of 14,500 individuals with eating disorders and 1500 controls will be included from the United States (US), Australia (AU), New Zealand (NZ), and Denmark (DK). In the US, AU, and NZ, participants will complete comprehensive online phenotyping and will submit a saliva sample for genotyping. In DK, individuals with eating disorders will be identified by the National Patient Register, and genotyping will occur using bloodspots archived from birth. A genome-wide association study will be conducted within EDGI and via meta-analysis with other data from the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED).DiscussionEDGI represents the largest genetic study of eating disorders ever to be conducted and is designed to rapidly advance the study of the genetics of the three major eating disorders (anorexia nervosa, bulimia nervosa, and binge-eating disorder). We will explicate the genetic architecture of eating disorders relative to each other and to other psychiatric and metabolic disorders and traits. Our goal is for EDGI to deliver "actionable" findings that can be transformed into clinically meaningful insights.Trial registrationEDGI is a registered clinical trial: clinicaltrials.gov NCT04378101 .
| S-EPMC8097919 | biostudies-literature
Project description:BackgroundAnorexia nervosa is one of the more severe eating disorders, which is characterized by reduced food intake, leading to emaciation and psychological maladjustment. Treatment outcomes are often discouraging, with most interventions displaying a recovery rate below 50%, a dropout rate from 20% to 50%, and a high risk of relapse. Patients with anorexia nervosa often display anxiety and aversive behaviors toward food. Virtual reality has been successful in treating vertigo, anxiety disorder, and posttraumatic stress syndrome, and could potentially be used as an aid in treating eating disorders.ObjectiveThe aim of this study was to evaluate the feasibility and usability of an immersive virtual reality technology administered through an app for use by patients with eating disorders.MethodsTwenty-six participants, including 19 eating disorder clinic personnel and 5 information technology personnel, were recruited through emails and personal invitations. Participants handled virtual food and utensils on an app using immersive virtual reality technology comprising a headset and two hand controllers. In the app, the participants learned about the available actions through a tutorial and they were introduced to a food challenge. The challenge consisted of a meal type (meatballs, potatoes, sauce, and lingonberries) that is typically difficult for patients with anorexia nervosa to eat in real life. Participants were instructed, via visual feedback from the app, to eat at a healthy rate, which is also a challenge for patients. Participants rated the feasibility and usability of the app by responding to the mHealth Evidence Reporting and Assessment checklist, the 10-item System Usability Scale, and the 20-point heuristic evaluation questionnaire. A cognitive walkthrough was performed using video recordings of participant interactions in the virtual environment.ResultsThe mean age of participants was 37.9 (SD 9.7) years. Half of the participants had previous experience with virtual reality. Answers to the mHealth Evidence Reporting and Assessment checklist suggested that implementation of the app would face minor infrastructural, technological, interoperability, financial, and adoption problems. There was some disagreement on intervention delivery, specifically regarding frequency of use; however, most of the participants agreed that the app should be used at least once per week. The app received a mean score of 73.4 (range 55-90), earning an overall "good" rating. The mean score of single items of the heuristic evaluation questionnaire was 3.6 out of 5. The lowest score (2.6) was given to the "accuracy" item. During the cognitive walkthrough, 32% of the participants displayed difficulty in understanding what to do at the initial selection screen. However, after passing the selection screen, all participants understood how to progress through the tasks.ConclusionsParticipants found the app to be usable and eating disorder personnel were positive regarding its fit with current treatment methods. Along with the food item challenges in the current app, participants considered that the app requires improvement to offer environmental and social (eg, crowded room vs eating alone) challenges.
| S-EPMC8057519 | biostudies-literature
Project description:Eating disorders are life-interrupting psychiatric conditions with high morbidity and mortality, yet the basic mechanisms underlying these conditions are understudied compared with other psychiatric disorders. In this opinion, we suggest that recent knowledge gleaned from genomic and neuroimaging investigations of eating disorders in humans presents a rich opportunity to sharpen animal models of eating disorders and to identify neural mechanisms that contribute to the risk and maintenance of these conditions. Our article reflects the state of the science, with a primary focus on anorexia nervosa (AN) and binge-eating behavior, and encourages further study of all conditions categorized under feeding and eating disorders.
| S-EPMC8627201 | biostudies-literature