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Innovations: components of bundles.

V L Koontz

    Medical Care
    |April 1, 1979
    PubMed
    Summary

    Government-funded program adoption is complex. A study found traditional innovation predictors were poor at explaining individual decisions for a new health practice, highlighting the importance of client reactions to program components.

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    Area of Science:

    • Health Services Research
    • Sociology of Innovation
    • Program Implementation Science

    Background:

    • Government-funded programs require public acceptance for success.
    • Existing innovation adoption theories often guide program planning.
    • Understanding factors influencing adoption is crucial for program effectiveness.

    Purpose of the Study:

    • To evaluate the utility of established innovation predictors in explaining adoption of a new government-funded group health practice.
    • To identify key determinants of individual adoption decisions, knowledge, and attitudes towards the program.

    Main Methods:

    • A study was conducted on a newly formed group health practice.
    • The research assessed the predictive power of commonly used innovation adoption variables.
    • Client reactions to specific program components were analyzed.

    Main Results:

    • Traditional predictors showed limited utility in explaining individual adoption decisions.
    • Knowledge and attitude levels regarding the program were not well explained by standard predictors.
    • Client responses to specific elements of the program 'bundle' significantly influenced adoption.

    Conclusions:

    • Existing innovation theory may not fully capture adoption dynamics for all government-funded programs.
    • Client perceptions and reactions to program features are critical drivers of adoption.
    • Future research should explore program-specific factors and client-centered elements in adoption studies.

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