254870 Family PACT Provider Profiles: Individualized client demographic metrics within a large network of California family planning clinics

Monday, October 29, 2012 : 5:10 PM - 5:30 PM

Sandy Navarro, GISP , Bixby Center for Global Reproductive Health, University of California, San Francisco, Sacramento, CA
Michael Howell, MA , Bixby Center for Global Reproductive Health, University of California, San Francisco, Sacramento
Leslie A. Watts, MS , Bixby Center for Global Reproductive Health, University of California, San Francisco, Sacramento, CA
Marina Chabot, MSc , Bixby Center for Global Reproductive Health, University of California San Francisco, Sacramento, CA
Heike Thiel de Bocanegra, PhD, MPH , Bixby Center for Global Reproductive Health, University of California, San Francisco, Sacramento, CA
Alberto Odor, MD , Health Informatics Program, School of Medicine and Betty Irene Moore School of Nursing, University of California Davis, Sacramento, CA
Michael Policar, MD, MPH , Bixby Center for Global Reproductive Health, University of California, San Francisco, Sacramento, CA
  
     
Background: Aggregated metrics from electronic health data sources are sought more than ever before, especially around public health. Family PACT is California's Medicaid family planning expansion serving 1.8 million clients annually. Provider Profiles were developed as a program-wide quality improvement and utilization management (QI/UM) effort. In 2005, the first semi-annual set of “profiles” was distributed by mail to approximately 2,000 medical directors. Over time, the profile matured to include nine indicators on topics such as chlamydia screening rates and average reimbursement per client. Building on the momentum of the QI/UM Profile project, a Demographic Profile was released in 2011. Objective: Present each of the demographic metrics, the methods the State of California uses to share them with clinician providers, and the feedback survey findings. Methods: Claims and enrollment data were used to develop eight demographic metrics: Four pie chart metrics represent the percent of clients served by sex/age, primary language, ZIP Code, and race/ethnicity. Four bar charts show client volume trends among special populations such as teens and males. The metrics were marketed as ‘bonus information' to providers who opt to ‘go paperless' and retrieve their data online. Providers were asked to provide written feedback focusing on usefulness, perceived accuracy, and understandability. Results: The demographic metrics provide an opportunity for providers to better understand their family planning client population thereby enhancing their quality of care in areas such as linguistic and cultural competency. The metrics also have shown to be useful in informing decisions around the distribution of expensive client education materials in various languages. Discussion: A web-based soft release is an efficient method to distribute new metrics within a large network of family planning clinics. By remaining available only through a web-based download, the demographic metrics facilitate a transition from expensive color-printed mailings.

Learning Areas:
Administer health education strategies, interventions and programs
Communication and informatics
Provision of health care to the public
Public health administration or related administration
Public health or related organizational policy, standards, or other guidelines

Learning Objectives:
Discuss how aggregated data-sharing by a public health-based clinical services program is useful to providers and program administrators. Describe the process and technology used to create innovative individualized metrics from Medicaid-based fee-for-service claims and program enrollment data. List eight automated demographic categorization/presentation techniques easily-understood by and appropriate for family planning professionals.

Keywords: Family Planning, Health Information Systems

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a public health informaticist with over a decade experience analyzing family planning claims and enrolment data. I hold degrees in Sociology, Geographic Information Systems, and am a MS candidate (2012) in Health Informatics at UC Davis.
Any relevant financial relationships? Yes

Name of Organization Clinical/Research Area Type of relationship
University of California, San Francisco Reproductive Health Employment (includes retainer)

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.

Back to: 3428.1: Facilitating Rapid Adoption and Meaningful Use of mHealth, Electronic Health Records for Healthcare and Public Health - Part 2