MoBip Project

2016 ◽  
pp. 147-169 ◽  
Author(s):  
Hakan Altinpulluk ◽  
Gulsun Kurubacak
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Universal Design ◽  
Theoretical Framework ◽  
Social Awareness ◽  
Healthcare Sector ◽  
College Professors ◽  
The Core

This study aims to set forth a framework for how the design and scenarios should be handled, and how mHealth ecosystem and Universal Design principles should be used in the designing of an “interactive augmented reality 3-D pop-up book” that can be viewed on mobile devices. This book, which will pursue the goal of increasing university college professors' awareness about students with bipolar disorder, will be the first mHealth study handled in this scope in the literature. In the background section of the study, the authors first elaborate on the rapid advancement of mobile devices, their proliferation and their reflections on mHealth projects in the healthcare sector. Then the authors include mHealth-related applications that raise awareness, the authors analyze the importance of social awareness about mental health, and finally, the authors get to the core of bipolar disorder and present the current situation. Within the scope of this study, the authors construct a theoretical framework that will assume the guiding role in the completion of an interactive 3-D pop-up book.

MoBip Project

2016 ◽  
pp. 493-514
Author(s):  
Hakan Altinpulluk ◽  
Gulsun Eby
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Universal Design ◽  
Theoretical Framework ◽  
Social Awareness ◽  
Healthcare Sector ◽  
College Professors ◽  
The Core

This study aims to set forth a framework for how the design and scenarios should be handled, and how mHealth ecosystem and Universal Design principles should be used in the designing of an “interactive augmented reality 3-D pop-up book” that can be viewed on mobile devices. This book, which will pursue the goal of increasing university college professors' awareness about students with bipolar disorder, will be the first mHealth study handled in this scope in the literature. In the background section of the study, the authors first elaborate on the rapid advancement of mobile devices, their proliferation and their reflections on mHealth projects in the healthcare sector. Then the authors include mHealth-related applications that raise awareness, the authors analyze the importance of social awareness about mental health, and finally, the authors get to the core of bipolar disorder and present the current situation. Within the scope of this study, the authors construct a theoretical framework that will assume the guiding role in the completion of an interactive 3-D pop-up book.

scholarly journals The Stanley Foundation Bipolar Network

2001 ◽  
Vol 178 (S41) ◽  
pp. s177-s183 ◽  
Author(s):  
Ralph W. Kupka ◽  
Willem A. Nolen ◽  
Lori L. Altshuler ◽  
Mark A. Frye ◽  
Kirk D. Denicoff ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Psychiatric Comorbidity ◽  
Case Series ◽  
Assessment Methodology ◽  
Double Blind ◽  
Bipolar Illness ◽  
The Core ◽  
Open Case ◽  
Prospective Longitudinal

BackgroundThe Stanley Foundation Bipolar Network (SFBN) evaluates treatments, course and clinical and neurobiological markers of response in bipolar illness.AimsTo give a preliminary summary of emerging findings in these areas.MethodStudies with established and potentially antimanic, antidepressant and mood-stabilising agents range from open case series to double-blind randomised clinical trials, and use the same core assessment methodology, thereby optimising the comparability of the outcomes. The National Institute of Mental Health Life Chart Method is the core instrument for retrospective and prospective longitudinal illness description.ResultsThe first groups of patients enrolled show a considerable degree of past and present symptomatology, psychiatric comorbidity and functional impairment. There are associations of both genetic and early environmental factors with more severe courses of illness. Open case series with add-on olanzapine, lamotrigine, gabapentin or topiramate show a differential spectrum of effectiveness in refractory patients.ConclusionsThe SFBN provides important new data for the understanding and treatment of bipolar disorder.

TEORIA DAS RELAÇÕES INTERPESSOAIS: REFLEXÕES ACERCA DA FUNÇÃO TERAPÊUTICA DO ENFERMEIRO EM SAÚDE MENTAL

2019 ◽  
Vol 10 (3) ◽  
Author(s):  
Carlon Washington Pinheiro ◽  
Michell Ângelo Marques Araújo ◽  
Karla Maria Carneiro Rolim ◽  
Camila Moreira De Oliveira ◽  
Alexsandro Batista De Alencar
Keyword(s):  
Mental Health ◽  
Therapeutic Relationship ◽  
Interpersonal Relations ◽  
Theoretical Framework ◽  
Psychiatric Nursing ◽  
Nursing Theory ◽  
Therapeutic Function ◽  
Salud Mental

Objetivo: Refletir teoricamente sobre a importância da Teoria das Relações Interpessoais de Peplau, contextualizada com o processo de formação da identidade do enfermeiro como terapeuta em saúde mental e psiquiatria. Metodologia: A partir do estudo da obra sobre Relações Interpessoais em Enfermagem de Peplau e demais textos, a reflexão organizou-se em três eixos: a teoria das relações interpessoais, a relação terapêutica na teoria de Peplau e o subpapel de assessor/counseling. Resultados: Os três eixos foram detalhados, aliando as contribuições da literatura, com novas possibilidades de aplicação do arcabouço teórico. Conclusão: A Teoria das Relações Interpessoais com foco no conceito de counseling possibilita reflexões sobre a representação do enfermeiro como terapeuta e fortalece ações de enfermagem no contexto do cuidado em saúde mental.Descritores: Enfermagem; Enfermagem Psiquiátrica; Teoria de Enfermagem; Saúde Mental.THEORY OF INTERPERSONAL RELATIONS: REFLECTIONS ON THE THERAPEUTIC FUNCTION OF THE NURSE IN MENTAL HEALTHObjective: To reflect theoretically on the importance of Peplau's Theory of Interpersonal Relations, contextualized with the process of formation of the nurse's identity as a therapist in mental health and psychiatry. Methodology: From the study of Peplau's work on Interpersonal Relations in Nursing and other texts, the reflection was organized in three axes: the theory of interpersonal relations, the therapeutic relationship in Peplau's theory and the counseling sub-role. Results: The three axes were detailed, combining the contributions of the literature, with new possibilities of application of the theoretical framework. Conclusion: The Theory of Interpersonal Relations focusing on the concept of counseling enables reflections on the representation of nurses as therapists and strengthens nursing actions in the context of mental health care.Descriptors: Nursing; Psychiatric Nursing; Nursing theory; Mental Health.TEORÍA DE LAS RELACIONES INTERPERSONALES: REFLEXIONES ACERCA DE LA FUNCIÓN TERAPÉUTICA DEL ENFERMERO EN SALUD MENTALObjetivo: Reflexionar teóricamente sobre la importancia de la Teoría de las Relaciones Interpersonales de Peplau, contextualizada con el proceso de formación de la identidad del enfermero como terapeuta en salud mental y psiquiatría. Metodología: A partir del estudio del trabajo de Peplau sobre las relaciones interpersonales en enfermería y otros textos, la reflexión se organizó en tres ejes: la teoría de las relaciones interpersonales, la relación terapéutica en la teoría de Peplau y el sub-rol de asesor/consejero. Resultados: Los tres ejes fueron detallados, combinando las contribuciones de la literatura, con nuevas posibilidades de aplicación del marco teórico. Conclusión: La teoría de las relaciones interpersonales, centrada en el concepto de asesoramiento, permite reflexionar sobre la representación de las enfermeras como terapeutas y fortalece las acciones de enfermería en el contexto de la atención de la salud mental.Descriptores: Enfermería, Enfermería Psiquiátrica, Teoría de Enfermería, Salud Mental.

scholarly journals Fidelity to an evidence-based model for crisis resolution teams: a cross-sectional multicentre study in Norway

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
N. Hasselberg ◽  
K. H. Holgersen ◽  
G. M. Uverud ◽  
J. Siqveland ◽  
B. Lloyd-Evans ◽  
...  
Keyword(s):  
Mental Health ◽  
Multidisciplinary Teams ◽  
Evidence Based ◽  
Crisis Resolution ◽  
Health Crisis ◽  
The Core ◽  
Crisis Resolution Teams ◽  
Fidelity Scale ◽  
The Uk ◽  
Evidence Based Model

Abstract Background Crisis resolution teams (CRTs) are specialized multidisciplinary teams intended to provide assessment and short-term outpatient or home treatment as an alternative to hospital admission for people experiencing a mental health crisis. In Norway, CRTs have been established within mental health services throughout the country, but their fidelity to an evidence-based model for CRTs has been unknown. Methods We assessed fidelity to the evidence-based CRT model for 28 CRTs, using the CORE Crisis Resolution Team Fidelity Scale Version 2, a tool developed and first applied in the UK to measure adherence to a model of optimal CRT practice. The assessments were completed by evaluation teams based on written information, interviews, and review of patient records during a one-day visit with each CRT. Results The fidelity scale was applicable for assessing fidelity of Norwegian CRTs to the CRT model. On a scale 1 to 5, the mean fidelity score was low (2.75) and with a moderate variation of fidelity across the teams. The CRTs had highest scores on the content and delivery of care subscale, and lowest on the location and timing of care subscale. Scores were high on items measuring comprehensive assessment, psychological interventions, visit length, service users’ choice of location, and of type of support. However, scores were low on opening hours, gatekeeping acute psychiatric beds, facilitating early hospital discharge, intensity of contact, providing medication, and providing practical support. Conclusions The CORE CRT Fidelity Scale was applicable and relevant to assessment of Norwegian CRTs and may be used to guide further development in clinical practice and research. Lower fidelity and differences in fidelity patterns compared to the UK teams may indicate that Norwegian teams are more focused on early interventions to a broader patient group and less on avoiding acute inpatient admissions for patients with severe mental illness.

scholarly journals A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jakub Tomasik ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Dan-Mircea Mirea ◽  
Nayra A. Martin-Key ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Diagnostic Algorithm ◽  
Health Questionnaire ◽  
Major Depressive ◽  
Blood Biomarker ◽  
Mental Health Questionnaire ◽  
Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

scholarly journals Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
VanDung Nguyen ◽  
Tran Trong Khanh ◽  
Tri D. T. Nguyen ◽  
Choong Seon Hong ◽  
Eui-Nam Huh
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Computing System ◽  
Mobile User ◽  
Computation Offloading ◽  
Context Aware ◽  
Computing Systems ◽  
Iot Applications ◽  
Service Times

AbstractIn the Internet of Things (IoT) era, the capacity-limited Internet and uncontrollable service delays for various new applications, such as video streaming analysis and augmented reality, are challenges. Cloud computing systems, also known as a solution that offloads energy-consuming computation of IoT applications to a cloud server, cannot meet the delay-sensitive and context-aware service requirements. To address this issue, an edge computing system provides timely and context-aware services by bringing the computations and storage closer to the user. The dynamic flow of requests that can be efficiently processed is a significant challenge for edge and cloud computing systems. To improve the performance of IoT systems, the mobile edge orchestrator (MEO), which is an application placement controller, was designed by integrating end mobile devices with edge and cloud computing systems. In this paper, we propose a flexible computation offloading method in a fuzzy-based MEO for IoT applications in order to improve the efficiency in computational resource management. Considering the network, computation resources, and task requirements, a fuzzy-based MEO allows edge workload orchestration actions to decide whether to offload a mobile user to local edge, neighboring edge, or cloud servers. Additionally, increasing packet sizes will affect the failed-task ratio when the number of mobile devices increases. To reduce failed tasks because of transmission collisions and to improve service times for time-critical tasks, we define a new input crisp value, and a new output decision for a fuzzy-based MEO. Using the EdgeCloudSim simulator, we evaluate our proposal with four benchmark algorithms in augmented reality, healthcare, compute-intensive, and infotainment applications. Simulation results show that our proposal provides better results in terms of WLAN delay, service times, the number of failed tasks, and VM utilization.

scholarly journals Pilot Testing the Theoretical Framework of Acceptability in a Process Evaluation of a Community Pharmacy–Based Men’s Mental Health Promotion Program

SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401988512
Author(s):  
Andrea Lynn Murphy ◽  
David Martin Gardner
Keyword(s):  
Mental Health ◽  
Health Promotion ◽  
Process Evaluation ◽  
Theoretical Framework ◽  
Mental Health Promotion ◽  
Health Promotion Program ◽  
Perceived Effectiveness ◽  
Pilot Testing ◽  
Promotion Program ◽  
Affective Attitude

The objective of this study was to assess men’s acceptability of a men’s mental health promotion program in community pharmacies through pilot testing the theoretical framework of acceptability (TFA) as part of the process evaluation. Five men were interviewed about their experiences with the Headstrong program to learn about the acceptability of the program. The TFA was used as the deductive coding scheme and consists of seven constructs including affective attitude, burden, intervention coherence, ethicality, opportunity costs, perceived effectiveness, and self-efficacy. Three constructs, affective attitude, perceived effectiveness, and intervention coherence, from the TFA were coded in all five transcripts. The most frequently coded constructs were affective attitude and perceived effectiveness, coded 19 and 17 times, respectively. Interviewees all reported good relationships with their pharmacists, which influenced their willingness, attitude, and low burden for participation in Headstrong. Each of the men expressed comments reflecting anticipated effectiveness of the program outside of their own experience and how it could impact other men. Use of the TFA as part of a process evaluation of men’s experiences in a men’s mental health program was useful in identifying men’s perceptions of the program’s acceptability. Further research regarding how the quality of existing relationships with clinicians and patients impacts the TFA constructs of affective attitudes, perceived effectiveness, and burden would be useful.

Sign in / Sign up

Export Citation Format

Share Document