Get Statewide Patient Experience Data from MHQP
MHQP’s Statewide Patient Experience Survey (PES) is a valued resource for researchers, health plans, government agencies and provider organizations. Our methodology incorporates the highest scientific standards to produce valid and reliable results.
As the only Statewide PES in Massachusetts, the survey offers unique benefits, including statewide and regional benchmarks, robust multi-payer data, easy-to-understand data, and consultation to help interpret results. This is reliable data set gathered and analyzed by a nationally recognized survey vendor under the direction of MHQP, a trusted, independent, non-profit healthcare measurement organization.
The PES data is a rich resource for academic researchers, health plans, government agencies and provider organizations, who can license this data along with MHQP’s experienced analytic staff who support full utilization of the data.
MHQP’s PES Data can be used for the following:
- Research that includes trending: MHQP can provide current and the prior 4-year data extracts that are necessary for trend analysis
- Comprehensive and Valid Patient Experience Information
- Integration with Other Databases: can be linked to the Massachusetts Provider Database (MPD)
The Survey Data captures feedback from a large sample of adult and pediatric patients who are insured through employer-funded commercial health plans, which represents approximately 50% of the population in Massachusetts.
The survey is fielded annually and includes patients of providers at primary care practices having at least three primary care providers of the same primary care specialty, each having a panel size of at least 20 eligible patients. Survey results are statistically reliable and valid and are provided at the practice site level.
MHQP’s PES Data Includes:
- Reportable practice level data with over 30 elements
- Composite response counts and scores
- Historical data dating back to 2013
- Aggregate and detailed results
MHQP can provide PES data extracts as relational database tables or in a “flat” file structure (e.g. ASCII delimited or Excel).