Longevity Leaders: Data-driven Health Strategies for Older Residents provides participants with the skills, resources and time to develop projects focused on agency leadership priorities. We provide an overview of the continuous quality improvement (CQI) process to strengthen health promotion work and the strengthening of community resources shown to empower older residents and their friends and families.

The course is four two-day sessions, with one day of classroom instruction followed by a day of coaching and focus on team project development. In between sessions participants can explore the web-based lessons and access links to data sources and research. We introduce and reinforce key project conception and data analysis skills such as problem ideation, process mapping and visualizing data throughout the course to help participants better use data to tell the story of their communities. We can easily customize this learning experience to meet the specific needs of agencies and communities.

Measure the health status of older residents.

Following an introduction to the components of continuous quality improvement (CQI): assess, plan, act, and evaluate, participants start the assessment phase by exploring data to identify the older populations they serve, the magnitude of health challenges in their communities, and the community capacity to meet the identified needs.

Design evidence-based prevention strategies.

Participants explore the planning phase of CQI by investigating effective prevention strategies based on scientific research to target the root causes of challenges older residents are facing. By reviewing evidence-based strategies shown to strengthen families and communities, participants are able to identify priority strategies for their communities.

Begin data-driven implementation.

Participants are introduced to the CQI phase of action by creating a logic model that identifies evidence-based strategies, desired outcomes, and key partnerships. We introduce participants to relevant innovations in technology that promote a tech-empowered process for achieving meaningful results in their communities.

Identify meaningful progress.

Participants are introduced to the CQI phase of evaluation by developing effective strategies to track progress toward their desired short and long-term outcomes. We introduce theories of change and communication strategies to support a transparent community change process.

This course is modeled on our successful Data Leaders and Continuous Quality Improvement Program for child welfare, created in partnership with Casey Family Programs, and currently ongoing in New Mexico, New York City, and Connecticut.


Dominic Cappello (Co-Facilitator and CQI Specialist) is the co-founder of Safety+Success, a socially-engaged design and strategic planning firm in Santa Fe, New Mexico. A specialist in continuous quality improvement, Dominic advocates for a data-driven and result-focused problem-solving process. He has a Master of Arts in Liberal Studies with an emphasis in Language and Communications from Regis University. He oversaw the development and implementation of the Data Leaders and Quality Improvement Initiatives in New Mexico, Connecticut and NYC with the support of Casey Family Programs. Dominic worked for the NM of Health's Epidemiology and Division and the NM Protective Services Division-Research, Assessment and Data Bureau. He also has extensive expertise in reaching families through his development of the CDC-funded and National Education Association sponsored “Can We Talk? /Conversamos?” parent education project. Dominic’s work reached a national audience when he appeared on Oprah to discuss his Ten Talks book series on family communication and health. Dominic is the co-author (with Katherine Ortega Courtney, PhD) of Anna, Age Eight: The data-driven prevention of childhood trauma and maltreatment.

Gregory Sherrow is technology architect for both educational and commercial enterprises. Trained as an educator, he has been involved in web development since 1997 and has developed and managed web technology solutions for companies large and small, most notably 6+ years as the head of Patagonia, Inc. Web Development Department plus additional departmental director positions. He designed the learning management systems for Data Leaders for Child Welfare in NM, CT and NYC. He programmed the prototypes for the Safety+Success learning management systems focused on family safety and health piloted in South Carolina and New Mexico. His learning management system clients include State Departments of Health, Education and Attorney General's Office. He focuses on using technology to create a seamless system of care for all counties, with an emphasis on meeting the needs of intergenerational families.

Richard Dunks (Co-Facilitator and Data Specialist) is the founder of Datapolitan, an urban informatics consultancy based in New York City that focuses on the data and information needs of the public sector, including government agencies and non-profits. A graduate of the urban data science program at NYU's Center for Urban Science and Progress, Richard works on applying new and innovative techniques to the processing, analysis, and visualization of public data to make meaningful and positive actions with measurable impact. With over 6 years of experience as a data analyst in the public sector, Richard brings a variety of skills to the task of making sense of data. Through past work with the Center for Government Excellence at Johns Hopkins University, he helped develop innovative methods of data analysis and visualization to medium-sized cities across the country. He currently teaches a series of informative and engaging classes in open data and geospatial analysis for the City of New York, and has taught courses in data mining, spatial analysis, information visualization, and informatics at Columbia University, Fordham University, and Pratt Institute. With an almost pathological aversion to the well-worn path or the box to which it leads, Richard is often found blazing his own trail through the maze of data that surrounds us.

For more information about the course or customization — please contact us.