Prevention and Treatment of HIV Among People Living with Substance Use and/or Mental Disorders (DA2355)
Author(s): Substance Abuse and Mental Health Services Administration
Pre-Approved for: CA BRN, CCAPP, CE Broker Provider, Delaware BON, FCB, MCBAP-Specific , NAADAC, RNs
Credit Hours: 7
This course is online. All course material is available online and is accessible immediately after purchase from your account homepage. Certificate of Completion is available immediately upon passing the exam.
This course is the Substance Abuse and Mental Health Services Administration (SAMHSA) Evidence-Based Resource Guide Series for the Prevention and Treatment of people living with HIV alongside substance use and/or mental health disorders.
This guide reviews effective programs and practices to prevent HIV, promotes assessing for mental illness, and increases adherence to and retention in care.
- Analyze data about populations experiencing mental illness and/or SUDs who are more at risk for contracting HIV and assess current staff workload distributions.
- Review current evidence on the effectiveness of programs and practices to enact preventative HIV care among this at-risk population.
- Develop and implement appropriate, best-practice programs for individual and community use with a focus on mental health issues in people at higher risk of contracting HIV.
- Educate healthcare professionals for implementing person-centered care approaches, ensure a fair workload distribution, and create accessible services for people living with HIV and mental/SUD health disorders.
- Monitor implemented systems for client progress with better health outcomes to reduce HIV populations and promote mental health well-being.
- Content of the Guide
- Chapter One - Issue Brief
- Chapter Two - What Research Tells Us
- Chapter Three - Guidance for Selecting and Implementing Evidence-based Practices
- Examples of Effective Programs and Strategies
- Resources for Evaluation and Quality Improvement
Appendix 1 - Acknowledgements
Appendix 2 - Evidence Review Methodology