Publications by authors named "Madeline Ward"

This pilot randomized control trial examines the feasibility and acceptability of a novel mHealth intervention for patients with schizophrenia spectrum disorders following discharge from inpatient hospitalization. Using cognitive behavior therapy for psychosis strategies, the app provides just-in-time assessment and intervention for individuals to promote healthy coping skills and treatment adherence. We assessed the mHealth intervention relative to a comparison app that included mobile assessment plus psychoeducation alone.

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Although there have been momentous and critical advancements in serious mental illness (SMI) psychology doctoral training models and competencies, there is still much systemic change needed to increase access to evidence-based SMI training for psychologists. In the last decade, there has been little to no growth or expansion of SMI training opportunities in clinical psychology doctoral programs in the United States, and psychologists are underrepresented in serving clients with SMI. As trainees and trainers committed to careers in SMI, the contributors aimed to identify barriers and facilitators throughout each stage of the SMI doctoral training pathway, including pregraduate school, graduate school, and internship to reflect critically on systemic issues that have impeded trainees from accessing the appropriate tools for SMI training.

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This commentary argues that financial incentives for employees who meet body mass index requirements reinforce healthism, a false and oppressive ideology. Healthism is the view that personal health is the vehicle of well-being and that health is achieved by taking personal responsibility for habit modification. Healthist views about body shape and body weight enforce oppressive norms and can lead to pernicious harms, especially to members of vulnerable groups.

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Individual-level models incorporate individual-specific covariate information, such as spatial location, to model infectious disease transmission. However, fitting these models with traditional Bayesian methods becomes cumbersome as model complexity or population size increases. We consider a spatial individual-level model with a binary susceptibility covariate.

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Background: The ways patients with psychosis and depression engage in therapeutic treatment is not well understood. To determine if an intensive outpatient psychotherapy program could benefit patients experiencing psychotic symptoms, it is important to know how these individuals engage with psychotherapeutic treatment.

Methods: The present study from the Rhode Island Hospital Methods to Improve Diagnostic Assessment and Services (MIDAS) project compared dropout rates, treatment response, and satisfaction among 219 individuals with psychosis and major depressive disorder (MDD) to 2,545 individuals with MDD at a general, Acceptance and Commitment Therapy-based partial hospital program (PHP).

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There are no studies of the safety and effectiveness of telehealth psychiatric treatment of partial hospital level of care, in general, and for borderline personality disorder (BPD) in particular. In the present report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, the authors compared the effectiveness of their partial hospital treatment program in treating patients with BPD. For both the in-person and telehealth partial hospital level of care, patients with BPD were highly satisfied with treatment and reported a significant reduction in symptoms from admission to discharge.

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With current trends in cannabis legalization, large efforts are being made to understand the effects of less restricted legislation on human consumption, health, and abuse of these products. Little is known about the effects of cannabis legalization and increased cannabis use on vulnerable populations, such as dogs. The objective of this study was to examine the effects of different state-level cannabis legislation, county-level socioeconomic factors, and dog-level characteristics on dog cannabis poisoning reports to an animal poison control center (APCC).

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Multiple challenges exist integrating research into clinical practice, particularly in acute care settings where randomized controlled trials may be impractical or unethical. Partial or day hospitals are one such setting. As compared to outpatients and inpatients, relatively little research is conducted or reported in partial hospital program (PHP) patients, leaving providers in this setting without a solid empirical basis from which to draw.

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Plasma lipoproteins are important carriers of cholesterol and have been linked strongly to cardiovascular disease (CVD). Our study aimed to achieve fine-grained measurements of lipoprotein subpopulations such as low-density lipoprotein (LDL), lipoprotein(a) (Lp(a), or remnant lipoproteins (RLP) using electron microscopy combined with machine learning tools from microliter samples of human plasma. In the reported method, lipoproteins were absorbed onto electron microscopy (EM) support films from diluted plasma and embedded in thin films of methyl cellulose (MC) containing mixed metal stains, providing intense edge contrast.

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Background: School absenteeism data have been collected daily by the public health unit in Wellington-Dufferin-Guelph, Ontario since 2008. To date, a threshold-based approach has been implemented to raise alerts for community-wide and within-school illness outbreaks. We investigate several statistical modelling approaches to using school absenteeism for influenza surveillance at the regional level, and compare their performances using two metrics.

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