Project Details

Evaluation of State Flex Program Impact and Performance: Innovative Projects and PIMS Data

Research Center(s): Maine
Principal Investigator: John Gale
Contact Person: John Gale

Purpose

This project has two components: the continuation of our evaluation of innovative projects by State Flex Programs, and the continuation of our Flex Program evaluation using PIMS data. This project will result in semi-annual monitoring analysis reports, a final report, and a policy brief summarizing our findings. 

Background

This project represents a continuation of our prior work in these areas. The goals for this project are to monitor and evaluate the implementation and impact of these innovative programs and assess the extent to which they provide models that can be used by other state Flex programs. The results will also inform FORHP’s revisions of the program guidance for the next competitive funding cycle. In the initial year of the evaluation, we conducted interviews with the 16 states that requested funding under Program Area Five: Integration of Innovative Health Care Models, and selected eight states for ongoing evaluation. These states were engaged in projects focused on telehealth, care coordination, and quality improvement. Working with the states, we developed logic models that laid out the framework and desired outcomes for the projects, and created tracking tools based on the logic models to capture both qualitative and quantitative information. During this continuation phase, we will collect and analyze the first quarter 2017 data and conduct and conduct key informant interviews.

Additionally, a primary focus of the Performance Improvement and Measurement System (PIMS) component of the evaluation during the next project year will be to determine whether and how the current PIMS measure set and data collection processes can be improved to ensure the reliability (i.e., consistency), validity (i.e., accuracy), and overall usability of the data to facilitate longitudinal evaluation of Flex Program performance. This work will help to ensure PIMS is gathering the most relevant information possible, and that the data are being collected and analyzed to support program accountability and evaluation.