Display Settings:

Format

Send to:

Choose Destination
We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
    Implement Sci. 2012 Jul 3;7:59. doi: 10.1186/1748-5908-7-59.

    Measurement of a model of implementation for health care: toward a testable theory.

    Source

    Department of Psychiatry, Yale School of Medicine, 950 Campbell Avenue, NEPEC/182, West Haven, CT 06516, USA. Joan.Cook@yale.edu

    Abstract

    BACKGROUND:

    Greenhalgh et al. used a considerable evidence-base to develop a comprehensive model of implementation of innovations in healthcare organizations [1]. However, these authors did not fully operationalize their model, making it difficult to test formally. The present paper represents a first step in operationalizing Greenhalgh et al.'s model by providing background, rationale, working definitions, and measurement of key constructs.

    METHODS:

    A systematic review of the literature was conducted for key words representing 53 separate sub-constructs from six of the model's broad constructs. Using an iterative process, we reviewed existing measures and utilized or adapted items. Where no one measure was deemed appropriate, we developed other items to measure the constructs through consensus.

    RESULTS:

    The review and iterative process of team consensus identified three types of data that can been used to operationalize the constructs in the model: survey items, interview questions, and administrative data. Specific examples of each of these are reported.

    CONCLUSION:

    Despite limitations, the mixed-methods approach to measurement using the survey, interview measure, and administrative data can facilitate research on implementation by providing investigators with a measurement tool that captures most of the constructs identified by the Greenhalgh model. These measures are currently being used to collect data concerning the implementation of two evidence-based psychotherapies disseminated nationally within Department of Veterans Affairs. Testing of psychometric properties and subsequent refinement should enhance the utility of the measures.

    PMID:
    22759451
    [PubMed - indexed for MEDLINE]
    PMCID:
    PMC3541168
    Free PMC Article

    Images from this publication.See all images (1)Free text

    Figure 1

      Supplemental Content

      Icon for BioMed Central Icon for PubMed Central

      Save items

      Recent activity

      Your browsing activity is empty.

      Activity recording is turned off.

      Turn recording back on

      See more...
      Write to the Help Desk