Category: Analysis and Assessment

Primary Competency Area

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.

The City Health Dashboard: A New Resource for Population Health Improvement
Illustration of City

Course Objective

  • Describe the role of data in improving population health in urban areas
  • Describe how data on health status and health determinants improve cross-sector collaboration and decision making around health
  • Explain how the City Health Dashboard can be improved to be a more effective tool for health improvement

Date: May 1, 2018

Presenter:
Shoshanna Levine, MPH, DrPH
Program Director
City Health Dashboard


Over two-thirds of the U.S. population lives in cities. There is currently a shift for city governments to work with multi-level stakeholders to use a population health approach to target social determinants of health and improve the overall quality and health of the population. Dr. Soshanna Levine discusses the importance of using data as a cross-sectional, collaborative health improvement approach. The Department of Population Health at NYU Langone Medical Center and the Robert F. Wagner School of Public Service at NYU partnered with national networks to create the City Health Dashboard to help cities understand, compare, and take action to improve the health of their municipalities. The tool uses data from federal, state, and local agencies to present 36 measures linked to the health status across five domains (health behaviors, clinical care, social and economic factors, physical environment, health outcomes). The dashboard is a health improvement planning resource for 500 cities across the U.S. and will also provide evidence-based interventions and resources to city leadership, government, and stakeholders. Dr. Levine presents an overview of the dashboard and methods to engage local communities in data-driven health improvement activities.

Using Geographic Information Science to Advance Health Equity and Environmental Justice
Hand of Geography Layout

Course Objective

  • To describe how geographic information science can be used to advance health equity and environmental justice.
  • To describe the environmental factors that lead to health disparities.
  • To list examples of how geographic information science has been used in health equity research.

Date: May 2, 2017

Presenter:
Andrew Maroko, PhD
Associate Director
Lehman College Urban GISc Lab
CUNY Graduate School of Public Health and Health Policy


Environmental factors have an important impact on the health of communities. Public health professionals may use geographic information sciences (GIS) to assess the health of communities by analyzing exposure, or being subjected to negative factors such as pollution, as well as accessibility, or the ability to access positive factors such as green space and healthy food. In this webinar, Dr. Andrew Maroko discusses the process of geovisualization, hypothesis generation, data exploration, and communication and knowledge transfer in conducting environmental justice research. Dr. Maroko also describes various methods and technologies used to estimate exposure and accessibility, and provides examples of GIS in environmental justice/health equity projects in New York City and Glasgow, Scotland.

Region 2 Public Health Training Center