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Intention to Use a Mental Health App for Menopause: Health Belief Model Approach

Intention to Use a Mental Health App for Menopause: Health Belief Model Approach

The HBM consists of several key components, namely perceived susceptibility (an individual’s perception of their vulnerability or likelihood of experiencing a particular health condition), perceived severity (an individuals’ belief about the seriousness and potential consequences of a health condition), perceived benefits (an individuals’ beliefs in the effectiveness and positive outcomes of adopting a health-related behavior), perceived barriers (an individual’s assessment of obstacles, costs, or negative aspects

Nayra A Martin-Key, Erin L Funnell, Jiri Benacek, Benedetta Spadaro, Sabine Bahn

JMIR Form Res 2024;8:e60434

Identification of Predictors of Mood Disorder Misdiagnosis and Subsequent Help-Seeking Behavior in Individuals With Depressive Symptoms: Gradient-Boosted Tree Machine Learning Approach

Identification of Predictors of Mood Disorder Misdiagnosis and Subsequent Help-Seeking Behavior in Individuals With Depressive Symptoms: Gradient-Boosted Tree Machine Learning Approach

An additional barrier to receiving a correct diagnosis and necessary care is the reluctance of affected individuals to speak to medical professionals about their mental health. The European Study of the Epidemiology of Mental Disorders carried out across 6 countries found that only 25.4% of respondents spoke to a medical professional about their mental health problems [14].

Jiri Benacek, Nimotalai Lawal, Tommy Ong, Jakub Tomasik, Nayra A Martin-Key, Erin L Funnell, Giles Barton-Owen, Tony Olmert, Dan Cowell, Sabine Bahn

JMIR Ment Health 2024;11:e50738

Opportunities for the Implementation of a Digital Mental Health Assessment Tool in the United Kingdom: Exploratory Survey Study

Opportunities for the Implementation of a Digital Mental Health Assessment Tool in the United Kingdom: Exploratory Survey Study

Of the 618 participants, 232 (37.5%) had at least an undergraduate degree, 193 (31.2%) were single, and 191 (30.9%) were married or in a civil partnership. Regarding accommodation characteristics, living alone or with a partner was the most common arrangement, with 35.6% (220/618) living alone, 26.7% (165/618) living with a partner, and 16.7% (103/618) living with a partner and children.

Benedetta Spadaro, Nayra A Martin-Key, Erin Funnell, Jiří Benáček, Sabine Bahn

JMIR Form Res 2023;7:e43271

The Current State and Validity of Digital Assessment Tools for Psychiatry: Systematic Review

The Current State and Validity of Digital Assessment Tools for Psychiatry: Systematic Review

To this end, the key objectives of this systematic review are to summarize available digital mental health assessment tools as well as evaluate their accuracy among studies using a gold standard reference test. We will first examine the types of available digital mental health assessment tools (eg, digitized versions of existing psychiatric pen-and-paper questionnaires vs more sophisticated digital tools).

Nayra A Martin-Key, Benedetta Spadaro, Erin Funnell, Eleanor Jane Barker, Thea Sofie Schei, Jakub Tomasik, Sabine Bahn

JMIR Ment Health 2022;9(3):e32824

mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

mHealth Solutions for Perinatal Mental Health: Scoping Review and Appraisal Following the mHealth Index and Navigation Database Framework

Critically, pregnancy can be a triggering event; 10% to 20% of pregnant individuals with bipolar disorder experience a relapse during or after pregnancy, often culminating in a severe mental illness episode (ie, postpartum psychosis and mania) requiring hospitalization [6-8]. In some individuals, postpartum psychosis can also be the first manifestation of bipolar disorder [9,10].

Benedetta Spadaro, Nayra A Martin-Key, Erin Funnell, Sabine Bahn

JMIR Mhealth Uhealth 2022;10(1):e30724

Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study

Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study

Olmert et al [47] provided a detailed description of the delta study design and sampling procedures. In brief, the key objectives of the study were to develop and validate a diagnostic algorithm to (1) reduce the misdiagnosis of MDD and BD and (2) achieve a more accurate and earlier diagnosis of MDD in individuals presenting with depressive symptoms.

Nayra A Martin-Key, Dan-Mircea Mirea, Tony Olmert, Jason Cooper, Sung Yeon Sarah Han, Giles Barton-Owen, Lynn Farrag, Emily Bell, Pawel Eljasz, Daniel Cowell, Jakub Tomasik, Sabine Bahn

JMIR Form Res 2021;5(10):e27908

Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators

Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators

In this regard, moving away from a categorical, symptom-count approach to a transdiagnostic view of psychopathology may facilitate early and accurate diagnosis, and allow for personalized treatment strategies.

Benedetta Spadaro, Nayra A Martin-Key, Sabine Bahn

J Med Internet Res 2021;23(10):e27507

Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study

Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study

Mood disorders are psychiatric conditions in which disturbances in a person’s mood are associated with a diverse range of functional impairments [1,2], psychiatric and physical comorbidities [3-5], and increased mortality [6,7]. It is estimated that between 300 and 400 million people worldwide are affected from a mood disorder [8,9].

Dan-Mircea Mirea, Nayra A Martin-Key, Giles Barton-Owen, Tony Olmert, Jason D Cooper, Sung Yeon Sarah Han, Lynn P Farrag, Emily Bell, Lauren V Friend, Pawel Eljasz, Daniel Cowell, Jakub Tomasik, Sabine Bahn

JMIR Ment Health 2021;8(2):e23813

The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis

The Current State and Diagnostic Accuracy of Digital Mental Health Assessment Tools for Psychiatric Disorders: Protocol for a Systematic Review and Meta-analysis

Importantly, research has demonstrated that patients have a strong interest in using digital technologies to help monitor their mental health [10,11] and are more likely to report severe symptoms on technology platforms than in a face-to-face meeting with a health care professional [11].

Nayra A Martin-Key, Thea S Schei, Eleanor J Barker, Benedetta Spadaro, Erin Funnell, Jiri Benacek, Jakub Tomasik, Sabine Bahn

JMIR Res Protoc 2021;10(1):e25382