Online Program

324534
D. Analytic and reporting tools in decision-support for improving quality of health care services


Saturday, October 31, 2015 : 11:30 a.m. - 12:00 p.m.

Rae Starr, L.A. Care Health Plan, Santa Monica, CA
This module of the course describes analytic tools and reporting tools often used with patient experience survey data, for decision support in improving service quality.  Extensions of contingency table methods are described for use in concise and efficient reporting.  Graphical techniques for key driver analysis are described.  Straightforward methods for using the survey report for evaluating and comparing broad sets of programs are discussed.  Limitations posed by anonymity rules are explained, and strategies for minimizing the impact on analytic value while minimizing risks to patient privacy are discussed.

Learning Areas:

Biostatistics, economics
Communication and informatics
Conduct evaluation related to programs, research, and other areas of practice
Ethics, professional and legal requirements
Program planning
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Describe two data requirements for analyzing exposure to services, as part of quality improvement program evaluation. List at least five techniques for tabulating survey data for evidence-based decision support to administrators. Describe two methods for working within anonymity constraints to produce usable analyses without putting patients at risk.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: Served 8 years as Senior Biostatistician at the nation’s largest public health plan, managing the CAHPS patient experience survey program, covering each skill area in Learning Institute workshop. Interacted with each functional department rated in CAHPS; designed analytic plans to guide interventions; designed contracts for ancillary services to enhance the quality of the surveys. Delivered agency-sponsored briefings and invited presentations on this material at national conferences focused on the CAHPS surveys and Medicaid quality improvement.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.