Neonatal outcomes among pregnant individuals with co-occurring opioid/methamphetamine use disorders and mental health diagnosis

Objectives: To ascertain whether doctors were experiencing higher rates of distress during Covid-19 and whether this was impacted by demographic factors. Our hypotheses were that being a junior doctor, having a previous mental health diagnosis and treating Covid-19 positive patients would predict higher rates of distress. Methods: Cross-sectional survey conducted via Survey Monkey. Voluntary participants were recruited from the mailing list of a national-based referral service for doctors to psychiatrists. Distress was measured using the Kessler Psychological Distress Scale (K10). Demographic factors were analysed for predictive value of a higher rating on the K10. Areas of concern in relation to Covid-19 and preference for support services were measured on a Likert scale and compared to levels of distress. Results: The rate of very high distress was 15%. Being a junior doctor and having a previous mental health diagnosis were predictive factors of a higher K10 score. K10 was not affected by likelihood of contact with Covid-19-positive patients. Social isolation had a larger impact on mental health in the context of a previous psychiatric diagnosis. Face-to-face assessments were preferred. Conclusions: Rates of distress in doctors have been higher than baseline during Covid-19. Some groups have been particularly vulnerable.

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Do the Guidelines for Adolescent Preventive Services (GAPS) Facilitate Mental Health Diagnosis?

Journal of Primary Care & Community Health ◽

10.1177/2150131914520711 ◽

2014 ◽

Vol 5 (2) ◽

pp. 85-89 ◽

Cited By ~ 2

Author(s):

Anne M. Gadomski ◽

Melissa B. Scribani ◽

Nicole Krupa ◽

Paul L. Jenkins

Keyword(s):

Mental Health ◽

Preventive Services ◽

Mental Health Diagnosis ◽

Health Diagnosis

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Use of Social Media and Smartwatch Data Analytics for Mental Health Diagnosis

2021 International Conference on Innovative Trends in Information Technology (ICITIIT) ◽

10.1109/icitiit51526.2021.9399591 ◽

2021 ◽

Author(s):

Nakul Amate ◽

Sagar Patil ◽

Pranav Jojan ◽

Sahil Morankar

Keyword(s):

Mental Health ◽

Social Media ◽

Data Analytics ◽

Mental Health Diagnosis ◽

Use Of Social Media ◽

Health Diagnosis

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Off-label antipsychotic use patterns among Texas Medicaid adults 2013–2016

Journal of Comparative Effectiveness Research ◽

10.2217/cer-2021-0048 ◽

2021 ◽

Vol 10 (14) ◽

pp. 1045-1053

Author(s):

Shuang Chen ◽

Jamie C Barner ◽

Eun Cho

Keyword(s):

Mental Health ◽

Clinical Characteristics ◽

Mental Health Disorder ◽

Off Label Use ◽

Mental Health Diagnosis ◽

Lower Odds ◽

Off Label ◽

Use Patterns ◽

Second Generation Antipsychotic ◽

Health Diagnosis

Aim: To describe trends in off-label antipsychotic use among Texas Medicaid adults and examine whether demographic and clinical characteristics were associated with off-label use. Methods: Three diagnostic groups (i.e. no diagnosis, on label and off-label) were created based on mental health disorder diagnoses and related antipsychotic prescriptions. Results: During 2013–2016, the prevalence of off-label antipsychotic use decreased from 22.5% to 17.4% and the proportions of no mental health diagnosis remained stable (7.3–9.4%). Patients aged ≥25 years and second-generation antipsychotic users had significantly lower odds of receiving antipsychotics off-label or with no diagnosis. Conclusion: Compared with previous Medicaid database studies, the proportions of off-label antipsychotic use and antipsychotic use with no concurrent psychiatric diagnosis were notably lower.

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Considerations in Designing Digital Peer Support for Mental Health: Interview Study Among Users of a Digital Support System (Buddy Project) (Preprint)

10.2196/preprints.21819 ◽

2020 ◽

Author(s):

Nazanin Andalibi ◽

Madison K Flood

Keyword(s):

Mental Health ◽

Social Media ◽

Peer Support ◽

Support System ◽

Relevant Information ◽

Coping Mechanisms ◽

Interview Study ◽

Comparative Approach ◽

Mental Health Diagnosis ◽

Health Diagnosis

BACKGROUND Peer support is an approach to cope with mental illness, and technology provides a way to facilitate peer support. However, there are barriers to seeking support in offline and technology-mediated contexts. OBJECTIVE This study aims to uncover potential ways to design digital mental health peer support systems and to outline a set of principles for future designers to consider as they embark on designing these systems. By learning how existing systems are used by people in daily life and by centering their experiences, we can better understand how to design mental health peer support technologies that foreground people’s needs. One existing digital peer support system is Buddy Project, the case study in this paper. METHODS This paper reports on an interview study with Buddy Project users (N=13). Data were analyzed using the constant comparative approach. RESULTS Individuals matched through Buddy Project developed supportive friendships with one another, leading them to become each other’s peer supporters in their respective journeys. It was not only the mental health peer support that was important to participants but also being able to connect over other parts of their lives and identities. The design of Buddy Project provided a sense of anonymity and separation from pre-existing ties, making it easier for participants to disclose struggles; moreover, the pairs appreciated being able to browse each other’s social media pages before connecting. Buddy Project has an explicit mission to prevent suicide and demonstrates this mission across its online platforms, which helps reduce the stigma around mental health within the peer support space. Pairs were matched based on shared interests and identities. This choice aided the pairs in developing meaningful, compatible, and supportive relationships with each other, where they felt seen and understood. However, the pairs were concerned that matching based on a shared mental health diagnosis may lead to sharing unhealthy coping mechanisms or comparing themselves and the severity of their experiences with their peers. CONCLUSIONS The results of this study shed light on desirable features of a digital mental health peer support system: matching peers based on interests and identities that they self-identify with; having an explicit mental health–related mission coupled with social media and other web-based presences to signal that discussing mental health is safe within the peer support ecosystem; and not matching peers based on a broad mental health diagnosis. However, if the diagnosis is important, this matching should account for illness severity and educate peers on how to provide support while avoiding suggesting unhelpful coping mechanisms; allowing for some degree of anonymity and control over how peers present themselves to each other; and providing relevant information and tools to potential peers to help them decide if they would like to embark on a relationship with their matched peer before connecting with them. CLINICALTRIAL

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Post-intensive care syndrome (PICS) in children

Russian Osteopathic Journal ◽

10.32885/2220-0975-2021-3-95-105 ◽

2021 ◽

pp. 95-105

Author(s):

L. K. Karimova ◽

V. O. Belash

Keyword(s):

Mental Health ◽

Intensive Care ◽

Critically Ill ◽

Pediatric Intensive Care ◽

Functional Disorders ◽

Mental Health Diagnosis ◽

The Family ◽

Life Threatening ◽

Post Intensive Care Syndrome ◽

Health Diagnosis

The survival rate of children who require intensive care for life-threatening diseases or injuries has recently increased significantly. In pediatric intensive care, a decrease in mortality is accompanied by an increase in morbidity. This trend has led to a shift in focus of attention from reducing mortality to optimizing outcomes in critically ill patients. A broader approach and focus on outcome in critically ill survivors has been greatly facilitated by the development of a concept that integrates post-intensive care (PIC) diseases into Post Intensive Care Syndrome (PICS). The concept of PIC syndrome implies the occurrence of disorders in patients after IC in three main areas: mental health, cognitive functions and physical health, and also takes into account the state of the family of surviving patients, in particular, parents, who often have a deterioration in mental health. Diagnosis and treatment of this condition involves the work of a multidisciplinary team, in which it is desirable to include an osteopathic doctor in order to more effectively and timely diagnose and correct reversible functional disorders.

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SELF-COMPASSION IN ADOLESCENTS AND YOUNG ADULTS WITH INFLAMMATORY BOWEL DISEASE: RELATIONSHIP OF SELF-COMPASSION TO PSYCHOLOGICAL AND PHYSICAL OUTCOMES

Inflammatory Bowel Diseases ◽

10.1093/ibd/izaa347.130 ◽

2021 ◽

Vol 27 (Supplement_1) ◽

pp. S55-S55

Author(s):

Nicole Neiman ◽

Ann Ming Yeh ◽

Rachel Bensen ◽

Elvi Sanjines ◽

Anava Wren

Keyword(s):

Mental Health ◽

Inflammatory Bowel Disease ◽

Young Adults ◽

Pain Interference ◽

Anxiety And Depression ◽

Mental Health Diagnosis ◽

Self Compassion ◽

Inflammatory Bowel ◽

Health Diagnosis ◽

Physical Outcomes

Abstract Background Adolescents and young adults (AYA) with Inflammatory Bowel Disease (IBD) are at increased risk for poor psychological and physical well-being. Self-compassion (i.e., understanding and acceptance towards oneself) has been associated with better psychological and physical outcomes in AYA with chronic health conditions. There is limited research exploring self-compassion in AYA with IBD. Aims To examine: 1) the reliability of a Self-Compassion Scale (SCS-SF), and 2) how self-compassion relates to physical (i.e., pain interference, fatigue) and psychological (i.e., stress, anxiety, depression) outcomes in a sample of AYA with IBD. Methods This study was a collaboration with ImproveCareNow, and all procedures were approved by Stanford’s Institutional Review Board. Study participants included 85 AYA (mean=18 yrs) with IBD (52% Crohn’s; 55% female; 61% White). Participants completed a one-time online survey. The internal reliability of SCS-SF was a = 0.88, indicating high internal consistency. Hierarchical linear regression (HLR) analyses examined the unique contribution of self-compassion to pain interference, fatigue, physical stress, psychological stress, anxiety, and depression after controlling for significant demographic and medical variables (sex, IBD diagnosis, mental health diagnosis). Results The overall HLR models were significant for all dependent variables. For physical outcomes, the overall model examining pain interference was significant (F(3, 72) = 4.517; P = 0.003), with sex, IBD diagnosis, and mental health diagnosis accounting for 13% of the variance in pain interference. Self-compassion accounted for an additional 20% of the variance in pain interference over and above demographic/medical variables. For psychological outcomes, the overall model examining anxiety was significant (F(3, 73) = 15.54; P < 0.001), with sex, IBD diagnosis, and mental health diagnosis accounting for 33% of the variance in anxiety. Self-compassion accounted for an additional 46% of the variance in anxiety over and above demographic/medical variables. HLR also demonstrated that self-compassion was a significant independent predictor of pain interference (b = -0.30, P = 0.015), fatigue (b = -0.38, P = 0.001), psychological stress (b = -0.51, P = < 0.001), anxiety (b = -0.41, P = < 0.001), and depression (b = -0.59, P = < 0.001). Participants reporting higher levels of self-compassion had less pain interference, fatigue, stress, anxiety, and depression. Conclusion Preliminary results suggest self-compassion may be an important factor in explaining the variability of key physical and psychological outcomes among AYA with IBD. Research should investigate self-compassion in diverse IBD populations, and explore if feelings of kindness and acceptance towards oneself can be a protective factor for AYA by supporting positive coping and adjustment to IBD.

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