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  1. Article ; Online: Risk factors for developmental vulnerability

    Fernanda Talarico / Yang S Liu / Dan Metes / Mengzhe Wang / Dori Wearmouth / Lawrence Kiyang / Yifeng Wei / Ashley Gaskin / Andrew Greenshaw / Magdalena Janus / Bo Cao

    Digital Health, Vol

    Insight from population-level surveillance using the Early Development Instrument

    2023  Volume 9

    Abstract: Objectives Population-level studies may elucidate the most promising intervention targets to prevent negative outcomes of developmental vulnerability in children. This study aims to bridge the current literature gap on identifying population-level ... ...

    Abstract Objectives Population-level studies may elucidate the most promising intervention targets to prevent negative outcomes of developmental vulnerability in children. This study aims to bridge the current literature gap on identifying population-level developmental vulnerability risk factors using combined social and biological/health information. Methods This study assessed developmental vulnerability among kindergarten children using the 2016 Early Development Instrument (EDI) and identified risk factors of developmental vulnerability using EDI data cross-linked to a population-wide administrative health dataset. A total number of 23,494 children aged 5–6 were included (48% female). Prenatal, neonatal, and early childhood risk factors for developmental vulnerability were investigated, highlighting the most important ones contributing to early development. Results The main risk factors for developmental vulnerability were children with a history of mental health diagnosis (risk ratio = 1.46), biological sex–male (risk ratio = 1.51), and poor socioeconomic status (risk ratio = 1.58). Conclusion Our study encompasses both social and health information in a populational-level representative sample of Alberta, Canada. The results confirm evidence established in other geographic regions and jurisdictions and demonstrate the association between perinatal risk factors and developmental vulnerability. Based on these results, we argue that the health system should adopt a multilevel prevention and intervention strategy, targeting individual, family, and community together.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 360 ; 300
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Differential power of placebo across major psychiatric disorders

    Bo Cao / Yang S. Liu / Alessandro Selvitella / Diego Librenza-Garcia / Ives Cavalcante Passos / Jeffrey Sawalha / Pedro Ballester / Jianshan Chen / Shimiao Dong / Fei Wang / Flavio Kapczinski / Serdar M. Dursun / Xin-Min Li / Russell Greiner / Andrew Greenshaw

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    a preliminary meta-analysis and machine learning study

    2021  Volume 9

    Abstract: Abstract The placebo effect across psychiatric disorders is still not well understood. In the present study, we conducted meta-analyses including meta-regression, and machine learning analyses to investigate whether the power of placebo effect depends on ...

    Abstract Abstract The placebo effect across psychiatric disorders is still not well understood. In the present study, we conducted meta-analyses including meta-regression, and machine learning analyses to investigate whether the power of placebo effect depends on the types of psychiatric disorders. We included 108 clinical trials (32,035 participants) investigating pharmacological intervention effects on major depressive disorder (MDD), bipolar disorder (BD) and schizophrenia (SCZ). We developed measures based on clinical rating scales and Clinical Global Impression scores to compare placebo effects across these disorders. We performed meta-analysis including meta-regression using sample-size weighted bootstrapping techniques, and machine learning analysis to identify the disorder type included in a trial based on the placebo response. Consistently through multiple measures and analyses, we found differential placebo effects across the three disorders, and found lower placebo effect in SCZ compared to mood disorders. The differential placebo effects could also distinguish the condition involved in each trial between SCZ and mood disorders with machine learning. Our study indicates differential placebo effect across MDD, BD, and SCZ, which is important for future neurobiological studies of placebo effects across psychiatric disorders and may lead to potential therapeutic applications of placebo on disorders more responsive to placebo compared to other conditions.
    Keywords Medicine ; R ; Science ; Q
    Subject code 150
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Needs, gaps and opportunities for standard and e-mental health care among at-risk populations in the Asia Pacific in the context of COVID-19

    Jill K. Murphy / Amna Khan / Qiumeng Sun / Harry Minas / Simon Hatcher / Chee H. Ng / Mellissa Withers / Andrew Greenshaw / Erin E. Michalak / Promit Ananyo Chakraborty / Karen Sharmini Sandanasamy / Nurashikin Ibrahim / Arun Ravindran / Jun Chen / Vu Cong Nguyen / Raymond W. Lam

    International Journal for Equity in Health, Vol 20, Iss 1, Pp 1-

    a rapid scoping review

    2021  Volume 22

    Abstract: Abstract Background The COVID-19 pandemic is expected to have profound mental health impact, including in the Asia Pacific Economic Cooperation (APEC) region. Some populations might be at higher risk of experiencing negative mental health impacts and may ...

    Abstract Abstract Background The COVID-19 pandemic is expected to have profound mental health impact, including in the Asia Pacific Economic Cooperation (APEC) region. Some populations might be at higher risk of experiencing negative mental health impacts and may encounter increased barriers to accessing mental health care. The pandemic and related restrictions have led to changes in care delivery, including a rapid shift to the use of e-mental health and digital technologies. It is therefore essential to consider needs and opportunities for equitable mental health care delivery to the most at-risk populations. This rapid scoping review: 1) identifies populations in the APEC region that are at higher risk of the negative mental health impacts of COVID-19, 2) identifies needs and gaps in access to standard and e-mental health care among these populations, and 3) explores the potential of e-mental health to address these needs. Methods We conducted a rapid scoping review following the PRISMA Extension for Scoping Reviews (PRISMA-ScR). We searched Medline, Embase and PsychInfo databases and Google Scholar using a search strategy developed in consultation with a biomedical librarian. We included records related to mental health or psychosocial risk factors and COVID-19 among at-risk groups; that referred to one or more APEC member economies or had a global, thus generalizable, scope; English language papers, and papers with full text available. Results A total of 132 records published between December 2019 and August 2020 were included in the final analysis. Several priority at-risk populations, risk factors, challenges and recommendations for standard and e-mental health care were identified. Results demonstrate that e-mental health care can be a viable option for care delivery but that specific accessibility and acceptability considerations must be considered. Options for in-person, hybrid or “low-tech” care must also remain available. Conclusions The COVID-19 pandemic has highlighted the urgent need for equitable standard ...
    Keywords COVID-19 ; Mental health ; Equity ; Asia Pacific ; E-mental health ; At-risk populations ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

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  4. Article ; Online: Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support

    Ejemai Eboreime / Reham Shalaby / Wanying Mao / Ernest Owusu / Wesley Vuong / Shireen Surood / Kerry Bales / Frank P. MacMaster / Diane McNeil / Katherine Rittenbach / Arto Ohinmaa / Suzette Bremault-Phillips / Carla Hilario / Russ Greiner / Michelle Knox / Janet Chafe / Jeff Coulombe / Li Xin-Min / Carla McLean /
    Rebecca Rathwell / Mark Snaterse / Pamela Spurvey / Valerie H Taylor / Susan McLean / Liana Urichuk / Berhe Tzeggai / Christopher McCabe / David Grauwiler / Sara Jordan / Ed Brown / Lindy Fors / Tyla Savard / Mara Grunau / Frank Kelton / Sheila Stauffer / Bo Cao / Pierre Chue / Adam Abba-Aji / Peter Silverstone / Izu Nwachukwu / Andrew Greenshaw / Vincent Israel Opoku Agyapong

    BMC Health Services Research, Vol 22, Iss 1, Pp 1-

    Protocol for an innovative supportive program

    2022  Volume 11

    Abstract: Abstract Background Individuals discharged from inpatient psychiatry units have the highest readmission rates of all hospitalized patients. These readmissions are often due to unmet need for mental health care compounded by limited human resources. ... ...

    Abstract Abstract Background Individuals discharged from inpatient psychiatry units have the highest readmission rates of all hospitalized patients. These readmissions are often due to unmet need for mental health care compounded by limited human resources. Reducing the need for hospital admissions by providing alternative effective care will mitigate the strain on the healthcare system and for people with mental illnesses and their relatives. We propose implementation and evaluation of an innovative program which augments Mental Health Peer Support with an evidence-based supportive text messaging program developed using the principles of cognitive behavioral therapy. Methods A pragmatic stepped-wedge cluster-randomized trial, where daily supportive text messages (Text4Support) and mental health peer support are the interventions, will be employed. We anticipate recruiting 10,000 participants at the point of their discharge from 9 acute care psychiatry sites and day hospitals across four cities in Alberta. The primary outcome measure will be the number of psychiatric readmissions within 30 days of discharge. We will also evaluate implementation outcomes such as reach, acceptability, fidelity, and sustainability. Our study will be guided by the Consolidated Framework for Implementation Research, and the Reach-Effectiveness-Adoption-Implementation-Maintenance framework. Data will be extracted from administrative data, surveys, and qualitative methods. Quantitative data will be analysed using machine learning. Qualitative interviews will be transcribed and analyzed thematically using both inductive and deductive approaches. Conclusions To our knowledge, this will be the first large-scale clinical trial to assess the impact of a daily supportive text message program with and without mental health peer support for individuals discharged from acute psychiatric care. We anticipate that the interventions will generate significant cost-savings by reducing readmissions, while improving access to quality community mental healthcare ...
    Keywords Mental health ; Hospital readmission ; Text4Support ; Peer support ; Public aspects of medicine ; RA1-1270
    Subject code 028 ; 360
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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