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Understanding Drivers of Resistance Toward Implementation of Web-Based Self-Management Tools in Routine Cancer Care
Matthijs de Wit1,2,3, Mirella Kleijnen4, Birgit Lissenberg-Witte5
1Vrije Universiteit Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, Amsterdam, Netherlands.
Journal of Medical Internet Research
|December 18, 2019
Summary
Oncology nurses show resistance to web-based self-management tools due to complexity and lack of value. Managerial support and government influence can moderate these barriers, improving patient care tool adoption.
Area of Science:
- Health Informatics
- Nursing Research
- Innovation Adoption
Background:
- Patient engagement with web-based self-management tools is crucial but hindered by healthcare professional resistance.
- Understanding the drivers of this resistance is key to successful implementation.
Purpose of the Study:
- To investigate the drivers of resistance among oncology nurses towards web-based self-management tools in cancer care.
- To develop and test a model explaining this resistance.
Main Methods:
- Developed the Resistance to Innovation model (RTI-model) incorporating functional and psychological drivers.
- Conducted a cross-sectional survey of 285 oncology nurses in the Netherlands.
- Utilized structural equation modeling to analyze the data.
Main Results:
- Both passive and active resistance were driven by functional (complexity, lack of value) and psychological (role ambiguity, social pressure) drivers.
- Incompatibility with routines was not a significant driver.
- Resistance drivers were moderated by expertise, managerial support, and governmental influence.
Conclusions:
- Functional and psychological drivers significantly influence oncology nurses' resistance to web-based self-management tools.
- Tailored interventions considering expertise, managerial support, and external influences are needed to overcome resistance.
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