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Annotation: This interactive, one-hour, online course covers the basics of public health ethics and teaches strategies for making ethical decisions for situations that commonly arise in public health practice. You will explore the content of the American Public Health Association Public Health Code of Ethics (2019) and learn how to apply it and other tools to case studies.

Learning Objectives: • Summarize the key differences between the ethical approaches of the clinical and public health professions. • Define the core values of public health. • Describe the APHA Public Health Code of Ethics’ considerations and their application to decision-making. • Consider different theoretical perspectives to apply to ethical dilemmas. • Use an eight-step procedure to critically consider ethical issues in public health practice.

Annotation: Health equity is a top priority for many health agencies. Public health leaders can use performance management systems to advance health equity goals by systematically collecting and monitoring data to track results and identify opportunities for improvement. On the latest episode of the Public Health Review podcast, ASTHO senior executive consultant Nicole Alexander-Scott (alumni-RI), Harry Chen (alumni-VT), and Montana's state health improvement coordinator, Anna Bradley, discuss how the current equity efforts can integrate with established performance management practices.

Learning Objectives: • Learn how current equity efforts can integrate with established performance management practices. • Discuss how health agencies can use planning documents to integrate equity in health assessments and strategic planning.

Annotation: Efforts are underway to reimagine and transform the data system used in public health so it doesn’t just identify, manage, and respond to disease—it also promotes holistic well-being. Plans for modernizing the public health data system must ensure that it supports a complete picture of all the communities affected by poor health outcomes—as well as the underlying reasons those communities are affected—to inform efforts to advance health equity. Doing so requires a data system that includes upstream influences on health, such as social determinants of health and the policies and systems that perpetuate inequities. It coordinates across public and private sectors. It is inclusive in terms of how and by whom the data are collected, analyzed, and interpreted, and it centers community involvement throughout the data life cycle. This virtual discussion includes experts who are leading efforts across the United States to reimagine public health data to become more effective at promoting the public’s health and addressing root causes of health inequities. These perspectives range across the sectors involved in generating, shaping, and interpreting public health data including philanthropy, local public health agencies, technology, and community-based organizations. The gathered experts will share their experience and vision for transforming the public health data system.

Learning Objectives: • Learn how public health data can be effective at promoting the public's health and addressing root causes of health equity • Learn multiple perspectives for transforming the public health data system

Annotation: n this series of learning modules developed in collaboration with the MCH Navigator, we will discuss how the MCH Leadership Competencies — specifically those related to critical thinking (population data, critical analysis, research, epidemiology, and application of evidence-based practice guidelines) — form a supporting structure to: (1) understand the evidence base; (2) develop a plan to move from an analysis of populations needs to evidence-based/informed action steps to address those needs; and (3) use trusted tools to advance health equity within the framework of social determinants of health.

Learning Objectives: • Consider the role of a leader in identifying an issue or problem, framing it as a specific question, considering it from multiple perspectives, evaluating relevant information, and developing a reasoned resolution • Explain the process by which critical thinking informs and aids in addressing a clinical, organizational, community-based, or research challenge • Discuss how evidence-based decision making and implementation science are critical thinking skills

Annotation: This Web-on-demand course provides training on the basics of public health ethics and the process of ethical analysis and describes tools and resources for addressing ethical challenges that commonly arise in the practice of public health. The course also explores the complementary nature of public health law and public health ethics, reviews approaches to implementing public health ethics in health departments and presents a case study to illustrate the steps of applying an ethical analysis to a real-life case scenario. xxx

Learning Objectives: • List 3 ways to define the field of public health ethics. • Describe 2 ways public health ethics and law can work together to address ethical challenges. • Describe 3 resources for helping public health officials make ethically informed choices. • List 2 specific ways to integrate ethical considerations into public health decision-making. • Explore multiple solutions by organizing, prioritizing, and defending each possible solution.

Annotation: This webinar introduces participants to the basics of institutional review board (IRBs), the need for them and when to submit research protocols for review to an IRB. The webinar, webinar slides, and participant biographies are available.

Learning Objectives: • How do I know if I am doing human subject research? • How does an IRB ensure the rights and welfare of human subjects involved in research are adequately protected? • Participants will learn to "issue spot" where the need for an IRB is likely to arise. • Participants will understand the background and purpose of the relevant human subject research regulations. • Participants will understand how to draft functional IRB protocols and procedures.

Annotation: This series of short tutorials (about 15 minutes each) focus on specific aspects of U. S. Department of Health and Human Services' Office for Human Research Protections (OHRP) human subjects regulations and policy. They include Institutional Review Board (IRB) review criteria, quorum and voting in IRB meetings; membership requirements for IRBs, prisoner research series, and OHRP reporting requirements.

Annotation: This webcast presents key findings from the Washington Health Alliance’s 2014 Disparities in Care Report that health care providers and their community partners can use to jointly address racial and ethnic disparities in health. Utilizing the report and its Medicaid claims analysis, health-related organizations can see how care is or is not provided and where opportunities for collaboration may exist.

Learning Objectives: • Increase knowledge of the Washington Health Alliance as a partner in health system transformation and population health efforts. • Increase understanding of health care data available through the Washington Health Alliance. • Identify five key findings from the Washington Health Alliance’s 2014 Disparities in Care report.

Special Instructions: Webinar participants will be encouraged to share ideas for using data to promote population health and health equity. Slides will be available the morning of the session on the Hot Topics website. This session will be recorded and the archive posted by the next day. We offer audio for this webinar through the phone or through your computer's speakers. Due to differences in internet quality at viewers' locations, we can't guarantee that the computer audio will be smooth and continuous. If the audio cuts out and is distracting, please call in on the phone line instead.

Annotation: This video conference profiles a large urban county experience in creating a unique integrated database comprised of public and private sector records on children zero‐six years of age. This community’s experience serves as a powerful example of how data can inform the decision making of funders, policymakers and providers. The presentation includes a description of how the integrated child well‐being database was created over 12 years, as well as how it is utilized on an ongoing basis to inform policy and practice. With records on more than 400,000 children born in the county, the data system links together information on births, child maltreatment, receipt of public assistance, as well as engagement in programming such as home visiting, child care, and mental health services. Collectively, the experience of over a decade shows the power of data in informing policy and program improvement. The presentation also addresses the challenges that have been faced and overcome regarding practical issues around data sharing agreements and securing data from many different public and private providers into an integrated dataset. It also addresses how to build a strong relationship between the government officials, academics, and the program providers so that trust and collaboration form the basis for improving the services available to children and their families.

Annotation: MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research. Through a series of interactive online units you will learn about terminology, key concepts, and best practice in research data management. The modules are slide decks with embedded videos, and each contains learning objectives.

Learning Objectives: There are seven online units in this course and one set of offline (downloadable) data handling tutorials that will help you: 1. Understand how data are used in research and in society 2. Create a data management plan and apply it from the start to the finish of your research project 3. Name, organise, and version your data files and code effectively 4. Prepare your files and documentation for submission into a trustworthy repository or archive 5. Know how to store and transport your data safely and securely 6. Understand legal and ethical requirements for managing data about human subjects and how to safeguard sensitive data 7. Know the benefits of sharing data and the FAIR principles; licensing data for re-use 8. Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS

Special Instructions: Each unit takes up to one hour, plus time for further reading and carrying out the data handling exercises. In the units you will find explanations, descriptions, examples, exercises, and video clips in which academics, PhD students and others talk about the challenges of managing research data. The data handling tutorials (the orange button) assume some experience with each software environment and provide exercises in PDF along with open datasets to download and work through using your own installed software.

Continuing Education: Learners who require a certificate of completion may wish to enroll for their 5-week rolling Coursera MOOC instead: Research Data Management and Sharing, delivered in partnership with the University of North Carolina-Chapel Hill.