Category: Analysis and Assessment

Primary Competency Area

Buprenorphine Treatment for Opioid Use Disorder during the COVID-19 Pandemic

Course Objective

  • Explain regulatory updates regarding buprenorphine treatment during a public health emergency
  • Describe practice-level changes in buprenorphine treatment throughout COVID-19
  • Discuss common issues affecting patients in buprenorphine treatment during COVID-19

Date: July 7th, 2020

Presenter:
Tiffany Lu, MD, MS
Assistant Professor of Medicine
Montefiore Medical Center / Albert Einstein School of Medicine


In this month’s Log-in2Learn Dr. Tiffany Lu provides an overview of buprenorphine treatment prior to the COVID-19 pandemic and the challenges associated with treatment for opioid use disorder during the COVID-19 pandemic. Dr. Lu describes the communities hardest hit by the COVID-19 pandemic and how the pandemic paved the way for regulation updates regarding buprenorphine treatment such as reduced restrictions and an increased use of telemedicine to treat opioid use disorders. The webinar also addresses some other measures put in place with buprenorphine treatment due to the public health emergency, including: longer prescriptions, halted urine drug testing (self reports), access to naloxone and harm reduction supplies. The presenter also shares available resources to support clinical providers as they face the challenges associated with buprenorphine treatment during the COVID-19 pandemic.

Participants will be able to:

  1. Explain regulatory updates regarding buprenorphine treatment during a public health emergency
  2. Describe practice-level changes in buprenorphine treatment throughout COVID-19
  3. Discuss common issues affecting patients in buprenorphine treatment during COVID-19
Assessing your Audience for More Effective Cross-Sector Collaboration

Course Objective

  • Define an audience analysis
  • List approaches to audience analysis
  • Describe how to conduct an audience analysis based on situational characteristics
  • Describe how to conduct an audience analysis based on demographic characteristics
  • Describe how to conduct an audience analysis based on audience disposition and motivation

Launch Date: June 30, 2020

Subject Matter Expert:
Nick Linardopoulos, PhD
Assistant Teaching Professor & Public Speaking Coordinator
Rutgers University, School of Communication & Information, Department of Communication


Multi-sector collaboration is increasingly important for addressing health challenges. This training focuses on assessing audiences to develop tailored communication strategies for building collaborative partnerships. Using a case approach based in fictitious Tycho County, this training will describe the steps of developing an Audience Analysis strategy in order to build cross-sectoral partnerships to address opioid misuse.

Participants will learn about the following:

  1. Define an audience analysis
  2. List approaches to audience analysis
  3. Describe how to conduct an audience analysis based on situational characteristics
  4. Describe how to conduct an audience analysis based on demographic characteristics
  5. Describe how to conduct an audience analysis based on audience disposition and motivation
The Purpose of Pilot Studies in Modern Research

Course Objective

  • Describe the cons of estimating effect sizes from pilot studies.
  • Contrast the cons of using pilot studies for power computations with pros of using the clinically meaningful estimate.
  • Describe the purpose of pilot studies in modern research.

Date: January 8, 2019

Presenter:
Martina Pavlicova, PhD, MS
Associate Professor of Biostatistics
Columbia University Medical Center


In this webinar, participants learn from Dr. Martina Pavlicova about the benefits and limitations of pilot testing in clinical research. First, Dr. Pavlicova uses a case study to provide a comprehensive review on hypothesis testing, random sampling, and data stratification. Since effect size and sample size effect power, participants learn that pilot studies have limited statistical significance. Dr. Pavlicova explains how piloting is still essential to clinical research when determining feasibility, acceptability, safety, and tolerability of a study.

Introduction to Qualitative Research
Group of People Conducting Research

Course Objective

  • Describe the rationale for using qualitative research to answer a particular question or to study a phenomenon of interest
  • Describe critical elements of each of the five main approaches to qualitative research
  • Describe the four main types of qualitative data collection methods including the main procedures and challenges associated with each
  • Select an appropriate data collection method(s) for a given study question or approach
  • Discuss commonly used strategies to ensure validity and reliability in qualitative research

Date: December 14, 2018

Presenter:
New York City-Long Island-Lower Tri-County Public Health Training Center with revisions made by the Region 2 Public Health Training Center


Qualitative research is “an inquiry process of understanding whereby the researcher builds a complex, holistic picture, analyzes words, reports detailed views of informants, and conducts the study in a natural setting,” (Creswell 249). In ‘Introduction to Qualitative Research,’ learners follow along with two staff members from the Huntsville Department of Health as they discuss key concepts in qualitative research and decide how to examine an underutilized program using qualitative methods. Through interactive exercises and feedback, learners will explore the most common approaches to and data collection methods in qualitative research. The following discussion was based on John W. Creswell’s Qualitative Inquiry & Research Design, a text commonly used in qualitative research methods courses. Additional resources and suggested readings are provided for those who are interested in learning more about specific topics and concept introduced in this training.

Introduction to Qualitative Analysis with ATLAS.ti
Person Writing on Sticky Notes

Course Objective

  • Critically interpret the meaning of textual data using inductive reasoning
  • Develop a preliminary classification scheme using interpretative reading
  • Categorize inferences with meaningful conceptual labels and/or codes
  • Formulate conclusions based on relationships between established categories and/or codes
  • Perform basic qualitative analysis techniques in ATLAS.ti software, including:
    • Prepare primary documents for importing into ATLAS.ti’s Hermeneutic Unit
    • Generate output of coded textual data
    • Troubleshoot key importing, coding and output operations in ATLAS.ti

Date: December 14, 2018

Presenter:
New York City-Long Island-Lower Tri-County Public Health Training Center with revisions made by the Region 2 Public Health Training Center


Qualitative research produces rich, narrative data that requires both analysis and interpretation. In this section, learners are guided through the basic steps of the analysis process: Organize, Reduce, and Describe. An interactive practice exercise accompanies each step. Following this discussion, ATLAS.ti is introduced as a computer assisted software package that can supplement and improve pen and paper coding processes. Users follow instructional videos to learn how to use ATLAS.ti to manage large bodies of textual, graphical, audio, and video data. It is recommended that users download a trial version of ATLAS.ti software to follow along with the instructional videos in Part III and to practice at home. Download a trial version of ATLAS.ti.

Introduction to Mixed Methods
Magnifying Glass on Green Paper Person

Course Objective

  • Compare the strengths and weaknesses of qualitative and quantitative research.
  • Explain how mixed methods research design can take advantage of the strengths of both approaches.
  • Identify the five main types of mixed methods design and the goals of each type.
  • Match the appropriate type of mixed methods design with the aims of the research question.
  • Recognize the implications of mixed methods design on other aspects of the research design, including the sampling, measurement, and analysis.
  • Describe the main ways in which qualitative and quantitative data may be appropriately integrated during analysis.

Date: December 14, 2018

Presenter:
New York City-Long Island-Lower Tri-County Public Health Training Center with revisions made by the Region 2 Public Health Training Center


The following course is designed to provide the learner with an introduction to the benefits of mixed methods, different mixed methods research designs, and methods of analyzing and integrating mixed methods data.

Facilitating Focus Groups
Focus Group

Course Objective

  • Identify focus group standards for planning and logistics.
  • Moderate a focus group utilizing listening, open-ended questioning, and probing techniques while encouraging active participation.
  • Manage the logistical execution of the focus group with attention to conversation flow, group participation, and time-keeping

Date: December 14, 2018

Presenter:
New York City-Long Island-Lower Tri-County Public Health Training Center with revisions made by the Region 2 Public Health Training Center


In this video-based training program, participants sit in on a mock focus group and watch as the moderator models different techniques to carry out the focus group. The program addresses techniques including ice-breaker exercises, validation techniques, and other strategies to probe group members for clarity and deeper meaning, while encouraging group interactions and active conversation.

Advanced Program Evaluation
Advanced Program Evaluation Graph

Course Objective

  • Appreciate that a comprehensive evaluation plan addresses a program logic, stakeholders, evaluation questions and evaluation design.
  • Assess advantages and limitations of evaluation designs, including randomized, quasi-experimental and pre-post designs.
  • Appraise and compare options for data collection methods, measures and sampling strategies.
  • Identify and address associated threats to validity.
  • Identify strategies for addressing budget, time, data and political constraints in evaluation practice.

Date: December 14, 2018

Presenter:
New York City-Long Island-Lower Tri-County Public Health Training Center with revisions made by the Region 2 Public Health Training Center


*This course is Certified Quality through the Public Health Learning Navigator, an initiative of the Public Health Learning Network (PHLN) and National Network of Public Health Institutes (NNPHI).

Learners will take on the role of a staff member at the Middleton County Health Department who is tasked with helping to develop an evaluation plan for an obesity-prevention program recently launched in Middleton County. Using the CDC Program Evaluation Framework, learners will connect each step of the framework with a section of the evaluation plan, going into detailed discussion about: incorporating stakeholders, logic models and evaluation questions in the process; characteristics of different research designs for evaluation and considerations for choosing an appropriate design; options for data collection methods and sampling; and thinking through threats to validity. Additionally, the learner will review strategies for conducting rigorous evaluations within constraints of budget, time, and resources.

Prescription Drug Monitoring Programs and Drug Poisonings: What do we know? What do we need to know?
Pharmacists Looking at Medication

Course Objective

  • Define prescription drug monitoring programs (PDMP)
  • List the measurement issues that arise when studying PDMPs and their effect on prescription opioid and heroin poisoning rates
  • Describe the evidence surrounding the effects of PDMPs on rates of nonfatal and fatal prescription opioid and heroin poisoning

Date: December 4, 2018

Presenter:
Silvia Martins MD, PhD
Associate Professor of Epidemiology
Columbia University Mailman School of Public Health

Magdalena Cerda, DrPH
Associate Professor, Department of Population Health
New York University School of Medicine

David Fink, MPhil, MPH
PhD Candidate, Epidemiology Department
Columbia University Mailman School of Public Health


Participants learn from Dr. Silvia Martins, Dr. Magdalena Cerda and Dr. David Fink about the use of prescription drug monitoring programs (PDMPs) in the United States. First, Dr. David Fink provides an overview in current PDMP practices, explains the inconsistent evidence related to their success in reducing fatal and nonfatal prescription drug poisoning, and explores the unintended consequences of PDMP implementation such as increased heroin poisoning rates. Then, Dr. Cerda categorizes different PDMPs as proactive and reactive, then describes their research of PDMP implementation from 1999 to 2016. Lastly, Dr. Martins explains how proactive PDMPs–which proactively provide unsolicited information to PDMP users, provide open access to law enforcement, and require frequent data reporting–are less likely to be associated with increased in fatal heroin poisonings than reactive PDMPs.

Public Media Data for Public Health
Illustration of Graphs

Course Objective

  • Describe public media data available for disease surveillance
  • Describe public media data available for audience segmentation
  • Describe public media data available for message design and tailoring

Date: July 10, 2018

Presenter:
Dr. Joe Smyser, PhD
CEO
Public Good Projects


This webinar explores new ways to use public media data to solve large, complex public heatlh issues like opioid abuse and mental health. Dr. Joe Smyser explains how the Public Good Projects uses data from Facebook, Google, and designated market areas (DMAs) to create insights about a population’s health knowledge, attitudes, and beliefs in real time to inform public health media campaigns. Participants of this webinar will be exposed to case studies of how this data was used to create tailored messages for specific populations about opioids and mental health using digital marketing principles.

Region 2 Public Health Training Center