Data Collection and Analysis
States employ many different types of data collection efforts to determine how well their programs are working. Some of the most frequent sources of data include:
- Required data submissions by MLTSS contractors and providers
- Record/chart reviews
- Member or provider surveys and interviews
- Reportable events, incidents, complaints
- Results of licensure and certification determinations
- Fair hearings and appeals
- Waiting lists
Many states collect a wealth of data but lack the systems to organize and use information effectively for decision making. They stress the value of converting data to performance measures so that trends can be reviewed over time and data can be compared across providers. (Be sure to click on the Resource Library tab above where we have listed state performance measures.)
States also advocate reviewing performance measures and other data by sub-groups. For example, data may indicate that members, when studied in the aggregate, have a low incidence of preventable hospitalizations. However, problems may be detected when data are looked at for specific sub-groups of members, such as those with diabetes, mental illness, or physical disabilities.
Historically, many states have struggled with efforts to use and report performance data. With data consistency and reliability improving, more states are publicly reporting their performance data to state legislatures, providers and consumers to help in their decision-making. The quality of data often improves as it is publicly reported and the value of collecting it can be enhanced as you and others use it to make improvements.
As a condition of federal approval, MLTSS programs are required to report program data to CMS. These reports may have specific formats and parameters; others may be less structured. States developing MLTSS programs should carefully review reporting requirements for CMS and be prepared to report, not only the data, but also the state’s plan for addressing areas of poor performance.
