Determining the predictors of innovation implementation in healthcare: a quantitative analysis of implementation effectiveness

被引:91
|
作者
Jacobs, Sara R. [1 ]
Weiner, Bryan J. [2 ,3 ]
Reeve, Bryce B. [2 ,4 ]
Hofmann, David A. [5 ]
Christian, Michael [5 ]
Weinberger, Morris [2 ,3 ,6 ]
机构
[1] RTI Int, Publ Hlth Res Div, Res Triangle Pk, NC 27709 USA
[2] Univ N Carolina, Gillings Sch Global Publ Hlth, Dept Hlth Policy & Management, Chapel Hill, NC USA
[3] Univ N Carolina, Cecil G Sheps Ctr Hlth Serv Res, Chapel Hill, NC USA
[4] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
[5] Univ N Carolina, Kenan Flagler Business Sch, Dept Org Behav, Chapel Hill, NC USA
[6] Durham Dept Vet Affairs, Ctr Hlth Serv Res Primary Care, Durham, NC USA
基金
美国国家卫生研究院;
关键词
Innovation; Implementation effectiveness; Implementation climate; Innovation implementation framework; Community clinical oncology program; QUALITY IMPROVEMENT; KLEIN; TECHNOLOGY; FRAMEWORK; MODEL;
D O I
10.1186/s12913-014-0657-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: The failure rates for implementing complex innovations in healthcare organizations are high. Estimates range from 30% to 90% depending on the scope of the organizational change involved, the definition of failure, and the criteria to judge it. The innovation implementation framework offers a promising approach to examine the organizational factors that determine effective implementation. To date, the utility of this framework in a healthcare setting has been limited to qualitative studies and/or group level analyses. Therefore, the goal of this study was to quantitatively examine this framework among individual participants in the National Cancer Institute's Community Clinical Oncology Program using structural equation modeling. Methods: We examined the innovation implementation framework using structural equation modeling (SEM) among 481 physician participants in the National Cancer Institute's Community Clinical Oncology Program (CCOP). The data sources included the CCOP Annual Progress Reports, surveys of CCOP physician participants and administrators, and the American Medical Association Physician Masterfile. Results: Overall the final model fit well. Our results demonstrated that not only did perceptions of implementation climate have a statistically significant direct effect on implementation effectiveness, but physicians' perceptions of implementation climate also mediated the relationship between organizational implementation policies and practices (IPP) and enrollment (p < 0.05). In addition, physician factors such as CCOP PI status, age, radiological oncologists, and non-oncologist specialists significantly influenced enrollment as well as CCOP organizational size and structure, which had indirect effects on implementation effectiveness through IPP and implementation climate. Conclusions: Overall, our results quantitatively confirmed the main relationship postulated in the innovation implementation framework between IPP, implementation climate, and implementation effectiveness among individual physicians. This finding is important, as although the model has been discussed within healthcare organizations before, the studies have been predominately qualitative in nature and/or at the organizational level. In addition, our findings have practical applications. Managers looking to increase implementation effectiveness of an innovation should focus on creating an environment that physicians perceive as encouraging implementation. In addition, managers should consider instituting specific organizational IPP aimed at increasing positive perceptions of implementation climate. For example, IPP should include specific expectations, support, and rewards for innovation use.
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页数:13
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