A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study

Date

2020-08-01

Author

Olmert, Tony
Cooper, Jason D.
Han, Sung Yeon Sarah
Barton-Owen, Giles
Farrag, Lynn
Bell, Emily
Friend, Lauren V.
Özcan Kabasakal, Süreyya
Rustogi, Nitin
Preece, Rhian L.
Eljasz, Pawel
Tomasik, Jakub
Cowell, Daniel
Bahn, Sabine

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

108
views

0
downloads

Background: Mood disorders affect hundreds of millions of people worldwide, imposing a substantial medical and economic burden. Existing diagnostic methods for mood disorders often result in a delay until accurate diagnosis, exacerbating the challenges of these disorders. Advances in digital tools for psychiatry and understanding the biological basis of mood disorders offer the potential for novel diagnostic methods that facilitate early and accurate diagnosis of patients.

Subject Keywords

Proteomics, Early Diagnosis, Mood Disorders, Bipolar Disorder, Major Depressive Disorders

URI

https://hdl.handle.net/11511/56604

Journal

JMIR RESEARCH PROTOCOLS

DOI

https://doi.org/10.2196/18453

Collections

Department of Chemistry, Article

Suggestions

OpenMETU
Core

A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data Tomasik, Jakub; Han, Sung Yeon Sarah; Barton-Owen, Giles; Mirea, Dan-Mircea; Martin-Key, Nayra A.; Rustogi, Nitin; Lago, Santiago G.; Olmert, Tony; Cooper, Jason D.; Özcan Kabasakal, Süreyya; Eljasz, Pawel; Thomas, Gregoire; Tuytten, Robin; Metcalfe, Tim; Schei, Thea S.; Farrag, Lynn P.; Friend, Lauren V.; Bell, Emily; Cowell, Dan; Bahn, Sabine (2021-01-01) The 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 comple...
A test of theory of planned behavior in type II diabetes adherence: The leading role of perceived behavioral control Dilekler, İlknur; Doğulu, Canay; Bozo Özen, Özlem (Springer Science and Business Media LLC, 2019-01-01) Diabetes mellitus is a health complication that millions of people suffer from all over the world. Type II (non-insulin dependent) diabetes requires many changes in the daily lives of patients, including monitoring blood glucose, following a healthy diet, exercising, and taking medications. Although it is vital for their health, patients generally find it difficult to adhere to their medical regimen. In order to better understand the adherence behaviors of type II diabetes patients, the theory of planned be...
A Framework for design and personalization of digital, just-in-time, adaptive interventions Gönül, Suat; Coşar, Ahmet; Department of Computer Engineering (2018) Adverse and suboptimal health behaviors and chronic diseases are responsible from a substantial majority of deaths globally. Studies show that personalized support programs yield better results in overcoming these undesired behaviors and diseases. Digital, just-in-time, adaptive interventions are mobile phone-based notifications that are being used to support people wherever and whenever needed in coping with the health problem. In this study, a framework is proposed for design and personalization of such i...
A Qualitative investigation of stigma experiences of individuals with depressive disorders in Turkey Şener, Meryem Nur; Canel Çınarbaş, Deniz; Department of Psychology (2020) The aim of the present study was to explore stigma experiences of individuals diagnosed with depressive disorders in Turkey, from their own perspective. To this end, qualitative research methodology was employed and fourteen participants who had a diagnosis of depressive disorder were interviewed for the study. The data obtained through interviews was analyzed using Interpretative Phenomenological Analysis (IPA). At the end of the analysis process, five superordinate themes were identified, which were the e...
Understanding the Role of Polymer Surface Nanoscale Topography on Inhibiting Bacteria Adhesion and Growth Liu, Luting; Ercan, Batur; Sun, Linlin; Ziemer, Katherine S.; Webster, Thomas J. (2016-01-01) Catheter-associated infections, most of which are caused by microbial biofilms, are still a serious issue in healthcare and are associated with significant morbidity, mortality, and excessive medical costs. Currently, the use of nanostructured materials, especially materials with nano featured topographies, which have more surface area, altered surface energy, enhanced select protein adsorption, and selectively increased desirable cell functions while simultaneously decreasing competitive cell functions, se...

Citation Formats

T. Olmert et al., “A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study,” JMIR RESEARCH PROTOCOLS, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56604.