Episode 272 - Tracey Feild and Cynthia Weiskittel: Better Decisions for Better Results: Continuous Quality Improvement
Tuesday, October 01, 2019, 9:23:22 AM
In this episode, our guests Tracey Feild and Cynthia Weiskittel describe their experience with programs they implemented that utilize data-driven processes to measure the quality and impact of service delivery. They discuss the challenges to using data and fostering buy-in to measuring service provision. Our experts conclude with describing how providers can bring this process to bear in their own organizations.
diversity in continuing quality improvement , Sunday, February 14, 2021
By Elyse F. :
This podcast intrigued me in learning more about continuing quality improvement and macro social work. As the interviewees state, it is imperative that there is communication between those conducting CQI and those working with clients directly. While communicating data is imperative, I think data and anecdotal evidence should be used in conjunction to implement best practices. I would have appreciated a discussion on the notion that data might say a certain intervention is working, but the specific clients or community in which an agency is serving might have different results or experiences with this intervention.
Further, I appreciate the discussion of the social work field moving to incorporate data and holding organizations accountable for data and trends being communicated to the frontline workers. I agree that initiatives such as the child stat and RED team can be an asset to the child welfare system and social work as a whole. These initiatives work to ensure that agencies are using methods that are scientifically proven and are being effectively implemented by the frontline workers. While I agree that science and data should be incorporated in all aspects of social work practice, one must be critical of the culture/environment in which the research is conducted. I believe it is necessary to include a dialogue of the biases that exist in research today. A lot of research is conducted in a white, cis-gender, heterosexual, male-dominated context. This is not necessarily representative of the populations that social workers work with. While the field is forging to incorporate data and science into our practices, researchers need to expand on evidence-based practices and how these practices fit into diverse populations.
episode 272 review, Monday, February 03, 2020
By Allie A :
One thing about this episode that struck me is how Charles pointed out how UB’s School of Social Work is really trying to help students understand the importance data and research is and informing social work practices. Being a current MSW student at UB, I think the program is quite effective at instilling and students the role and importance of data is in informing every possible area of practice in social work. It wasn’t until I began this program that I was able to make the connection to how data and research directly translated to effective and best practices. I also found it interesting how one of the speakers pointed out that social workers often can make general assumptions about issues that client populations are facing. With this being said, I would definitely agree that having tangible data to look towards is crucial in developing appropriate and effective services for clients based on their needs and experiences. Furthermore I think that data and research is also important at illuminating the severity of certain issues faced by clients that may not be getting as much attention as they deserve.
DISCLAIMER: The content shared by the presenter(s) and/or interviewer(s) of each podcast is their own and not necessarily representative of any views, research, or practice from the UB School of Social Work or the inSocialWork® podcast series.