The innovation purchase and operating costs are affordable.
Innovation costs, including transaction costs (Leeman et al., 2019), can be a significant barrier to implementation if they are perceived to be too expensive or unaffordable. The original CFIR elaborated further on this construct, stating that the cost to purchase, subscribe, or use the innovation, including training costs associated with the innovation, is an important adoption and implementation determinant (Graham & Logan, 2004; Teplensky et al., 1995).
Qualitative coding guidelines that are aligned with the Updated CFIR will be added in the near future.
Include statements related to the cost of the innovation.
Exclude statements related to money, physical space, and time and code to Available Resources.
As we become aware of measures, we will post them here. Please contact us with updates.
Leeman, J., Baquero, B., Bender, M., Choy-Brown, M., Ko, L. K., Nilsen, P., Wangen, M., & Birken, S. A. (2019). Advancing the use of organization theory in implementation science. Preventive Medicine, 129, 105832. https://doi.org/10.1016/j.ypmed.2019.105832
Graham, I. D., & Logan, J. (2004). Innovations in knowledge transfer and continuity of care. Canadian Journal of Nursing Research, 36(2), 89–103.
Lewis, C. C., Mettert, K. D., Stanick, C. F., Halko, H. M., Nolen, E. A., Powell, B. J., & Weiner, B. J. (2021). The psychometric and pragmatic evidence rating scale (PAPERS) for measure development and evaluation. Implementation Research and Practice, 2, 263348952110373. https://doi.org/10.1177/26334895211037391
Lewis, C. C., Mettert, K., & Lyon, A. R. (2021). Determining the influence of intervention characteristics on implementation success requires reliable and valid measures: Results from a systematic review. Implementation Research and Practice, 2, 263348952199419. https://doi.org/10.1177/2633489521994197
Teplensky, J. D., Pauly, M. V., Kimberly, J. R., Hillman, A. L., & Schwartz, J. S. (1995). Hospital adoption of medical technology: An empirical test of alternative models. Health Services Research, 30(3), 437–465.