When should measures be updated? Development of a conceptual framework for maintenance of quality-of-care measures

Qual Saf Health Care. 2008 Jun;17(3):182-6. doi: 10.1136/qshc.2006.021170.

Abstract

Objective: To document current practices on long-term maintenance of quality measures and to develop a consensus framework to guide the design of maintenance systems.

Study design: Survey of 10 organisations developing measures and selected researchers in the USA about current policies and procedures and desirable properties for a comprehensive system for measures maintenance. Panel discussions with all respondents to arrive at consensus recommendations for a framework for maintenance of measures.

Participants: Five measures developers, two provider and three purchaser organisations. Six were private sector organisations, two were governmental agencies, and two were accreditation institutions.

Principal findings: All organisations had procedures for measures maintenance, but the degree of formalisation of the procedures varied. Three key functions for a measures maintenance system emerged: ad hoc review to deal with unexpected problems; annual maintenance to incorporate changes in coding conventions; and regular re-evaluation to thoroughly review measures at predefined intervals. Importance, scientific soundness, feasibility and usability were universally used as evaluation criteria. The panel discussions yielded a consensus set of recommendations for relationships between maintenance functions, evaluation criteria and measures disposition.

Conclusions: A sufficient degree of implicit consensus was found among leading measures developers to arrive at a consensus framework for policies and procedures for measures maintenance. Although organisations may choose to implement the framework in a way that is most consistent with their mission and structure, it provides guidance regarding which components should be included.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Decision Making, Organizational
  • Government Agencies / standards
  • Organizational Policy
  • Private Sector / standards
  • Quality Indicators, Health Care*
  • Total Quality Management / methods*
  • United States