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Measure Science Practice Areas
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Measurement Science Practice Areas

Measure Development

PCPI follows a rigorous, evidence-based and multi-disciplinary measure development process that has been refined and standardized since its inception. The process combines staff expertise in measure development methodology with the clinical expertise of multi-specialty, multi-disciplinary work groups to develop measures that lead to improved health outcomes for patients.

Key measure development considerations:

  • Supporting evidence and link to outcomes
  • Gaps and/or variations in care
  • Gaps in measurement
  • Feasibility of measure implementation

 

 Measure Specifications

PCPI relies on public comment to refine and retool its measures and will publish calls for public comment on this page as needed

PCPI develops specifications for multiple data source implementations, with an emphasis on specifications for electronic health records (EHRs) and clinical data registries. We bring expertise in the development of health quality measures format (HQMF) electronic clinical quality measure (eCQM) specifications in accordance with nationally adopted standards, models and tools. 

 



Key measure specification considerations:

  • Data source(s) for implementation
  • Data elements required to express measure intent are clearly defined
  • Clinical terminologies for reporting of quality measure data

 

Measure Testing

Through novel qualitative and quantitative measure testing methodologies, PCPI tests measures for feasibility and scientific acceptability. We initiate testing as early as possible during the measure development process and encourage measure developers to test early and test often. 


Measure testing demonstrates that:

  • Measures capture the intended data 
  • There is no significant difference in the way measures are being captured for each data source
  • Providers and consumers can have increased confidence in measures and measure results
  • Measures can be implemented with a reasonable amount of effort
  • Measure results provide information about the quality and value of care
  • Key measure testing considerations are:
  • Data source
  • Data availability
  • Required sample sizes
  • Test site availability
  • Appropriate testing methodologies

Measure Protocols

Measure testing is a critical step in the measure development process. PCPI's Measure Testing Protocol (updated in 2010) is a standardized methodology that tests performance measures and guides measure testing activities.

Along with a number of collaborators, PCPI is using this Protocol to determine the feasibility, validity and reliability of the physician performance measures.
 
How Does the Measure Testing Protocol Work? 
PCPI uses the Protocol to prioritize measure testing activities. The Protocol:

  1. Helps identify key scientific areas for testing, in turn constituting a comprehensive evidence base for each PCPI measure
  2. Identifies the scientific attributes that are considered desirable for performance measures
  3. Provides research recommendations where appropriate, and possible, to help ensure an adequate level of research quality is included within the evidence base for each performance measure


 

Our Members

353 N. Clark St. Suite 1400-a, Chicago, IL 60654 | Phone: 312-757-PCPI | General Email: info@thepcpi.org