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Evaluating the Effects of a Pennsylvania-based Medicaid-funded Mental Health Peer Support Program

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Author :
Release : 2022
Genre : Mental health
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Evaluating the Effects of a Pennsylvania-based Medicaid-funded Mental Health Peer Support Program by : Jessica A. Peacock

Download or read book Evaluating the Effects of a Pennsylvania-based Medicaid-funded Mental Health Peer Support Program written by Jessica A. Peacock. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: Certified peer specialists, or mental health peer support services, have grown as a non-traditional service to provide mental health and recovery support to individuals struggling with a mental health diagnosis. The use of mental health peer support services is an attempt to provide non-clinical mental health recovery support through the lived experience of individuals in recovery. This non-experimental study aimed to evaluate the effects of Medicaid-funded mental health peer support services on mental health recovery outcomes of individuals with serious mental illness or severe emotional disturbances. This study used quantitative analysis of archival data. Four mental health recovery outcome variables were assessed for pretest and posttest change over one year of peer support services. Pretest and posttest recovery outcome scores were collected through the Adult Needs and Strengths Assessment archival data. This assessment measures individual strengths, mental health needs, risk behaviors, and life domain functioning of mental health peer support participants. Repeated measures analysis evaluated the pretest and posttest scores of 188 (n = 188) peer support services and identified significant differences between the means of pretest and posttest scores. These scores represented the variables of individual strengths and risk behaviors, suggesting that peer support effectively improves participants' strengths and risk behaviors. The analysis also identified a decrease in the means of mental health needs and life domain functioning scores, suggesting peer improvement in these domains; however, the decrease was not statistically significant. The findings of this study indicate that receiving mental health peer support services increases an individual's personal strengths and decreases their engagement in risk behaviors.

Research Awards Index

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Author :
Release : 1978
Genre : Medicine
Kind : eBook
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Book Synopsis Research Awards Index by :

Download or read book Research Awards Index written by . This book was released on 1978. Available in PDF, EPUB and Kindle. Book excerpt:

Monitoring and Evaluation of Mental Health Policies and Plans

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Author :
Release : 2007-11-07
Genre : Medical
Kind : eBook
Book Rating : 154/5 ( reviews)

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Book Synopsis Monitoring and Evaluation of Mental Health Policies and Plans by : World Health Organization

Download or read book Monitoring and Evaluation of Mental Health Policies and Plans written by World Health Organization. This book was released on 2007-11-07. Available in PDF, EPUB and Kindle. Book excerpt: This module examines key aspects of monitoring and evaluation as they relate to a mental health policy and plan including how to monitor a plan and the different ways to evaluate a policy and plan. It presents a five-step process for conducting evaluations and explains how results of an evaluation can be utilized to improve policies and plans. The module then provides a detailed case study of a policy and plan of a hypothetical country. It describes various ways that evaluation can be used over a period of time to assess and influence policy and the plan that arises from it including the practical steps involved in policy evaluation and the policy decisions that can be made on the basis of monitoring and evaluations. Also available: 14-module package: WHO Mental Health Policy and Service Guidance Package - 14 modules Other modules included in the package: Improving Access and Use of Psychotropic Medicines Child and Adolescent Mental Health Policies and Plans Mental Health Policy Plans and Programmes. Updated version Mental Health Context Mental Health Financing Advocacy for Mental Health Quality Improvement for Mental Health Organization of Services for Mental Health Planning and Budgeting to Deliver Services for Mental Health Mental Health Legislation and Human Rights Mental Health Policies and Programmes in the Workplace Mental Health Information Systems Human Resources and Training in Mental Health Monitoring and Evaluation of Mental Health Policies and Plans

The Social Determinants of Mental Health

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Release : 2015-04-01
Genre : Medical
Kind : eBook
Book Rating : 175/5 ( reviews)

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Book Synopsis The Social Determinants of Mental Health by : Michael T. Compton

Download or read book The Social Determinants of Mental Health written by Michael T. Compton. This book was released on 2015-04-01. Available in PDF, EPUB and Kindle. Book excerpt: The Social Determinants of Mental Health aims to fill the gap that exists in the psychiatric, scholarly, and policy-related literature on the social determinants of mental health: those factors stemming from where we learn, play, live, work, and age that impact our overall mental health and well-being. The editors and an impressive roster of chapter authors from diverse scholarly backgrounds provide detailed information on topics such as discrimination and social exclusion; adverse early life experiences; poor education; unemployment, underemployment, and job insecurity; income inequality, poverty, and neighborhood deprivation; food insecurity; poor housing quality and housing instability; adverse features of the built environment; and poor access to mental health care. This thought-provoking book offers many beneficial features for clinicians and public health professionals: Clinical vignettes are included, designed to make the content accessible to readers who are primarily clinicians and also to demonstrate the practical, individual-level applicability of the subject matter for those who typically work at the public health, population, and/or policy level. Policy implications are discussed throughout, designed to make the content accessible to readers who work primarily at the public health or population level and also to demonstrate the policy relevance of the subject matter for those who typically work at the clinical level. All chapters include five to six key points that focus on the most important content, helping to both prepare the reader with a brief overview of the chapter's main points and reinforce the "take-away" messages afterward. In addition to the main body of the book, which focuses on selected individual social determinants of mental health, the volume includes an in-depth overview that summarizes the editors' and their colleagues' conceptualization, as well as a final chapter coauthored by Dr. David Satcher, 16th Surgeon General of the United States, that serves as a "Call to Action," offering specific actions that can be taken by both clinicians and policymakers to address the social determinants of mental health. The editors have succeeded in the difficult task of balancing the individual/clinical/patient perspective and the population/public health/community point of view, while underscoring the need for both groups to work in a unified way to address the inequities in twenty-first century America. The Social Determinants of Mental Health gives readers the tools to understand and act to improve mental health and reduce risk for mental illnesses for individuals and communities. Students preparing for the Medical College Admission Test (MCAT) will also benefit from this book, as the MCAT in 2015 will test applicants' knowledge of social determinants of health. The social determinants of mental health are not distinct from the social determinants of physical health, although they deserve special emphasis given the prevalence and burden of poor mental health.

Applied Supervised Learning with Python

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Author :
Release : 2019-04-27
Genre : Computers
Kind : eBook
Book Rating : 831/5 ( reviews)

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Book Synopsis Applied Supervised Learning with Python by : Benjamin Johnston

Download or read book Applied Supervised Learning with Python written by Benjamin Johnston. This book was released on 2019-04-27. Available in PDF, EPUB and Kindle. Book excerpt: Explore the exciting world of machine learning with the fastest growing technology in the world Key FeaturesUnderstand various machine learning concepts with real-world examplesImplement a supervised machine learning pipeline from data ingestion to validationGain insights into how you can use machine learning in everyday lifeBook Description Machine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with in-line code running support. With the help of fun examples, you'll gain experience working on the Python machine learning toolkit—from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you’ve grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn. This book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data. By the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own! What you will learnUnderstand the concept of supervised learning and its applicationsImplement common supervised learning algorithms using machine learning Python librariesValidate models using the k-fold techniqueBuild your models with decision trees to get results effortlesslyUse ensemble modeling techniques to improve the performance of your modelApply a variety of metrics to compare machine learning modelsWho this book is for Applied Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some experience in any functional or object-oriented language and a basic understanding of Python libraries and expressions, such as arrays and dictionaries.

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