Models and frameworks are integral in evidence-based practice because they give a solid, evidence-based path for action (Speroni et al., 2020). Change models help researchers maintain focus on the project/research and its objectives and prevent deviations from these objectives. They assist with decision-making as they categorize the changes depending on the theory used.
The frameworks provide precision in decision-making and help with precision as they outline assistive steps that help implement change or carry out interventions (Fineout-Overholt, 2022). They also simplify the complex change process hence their significance. Their reliability is grounded on advanced research and experience backing these theories.
Selecting the wrong change framework has various implications in research and can lead to biased results. It makes meeting the set objectives and the desired outcomes challenging (Nilsen, 2020). Biases such as selection bias occur when the wrong framework is selected. It alters research implementation and data collection, analysis, and dissemination.
Nilsen (2020) notes that selecting the wrong framework makes reading and understanding research difficult because they do not resonate. The research findings are thus often weak and hardly usable due to the mismatch in the concepts in the research and the theory or framework. Thus, selecting the suitable model or framework impacts the results and quality of outcomes.
References
Melnyk, B. M., & Fineout-Overholt, E. (2022). Evidence-based practice in nursing & healthcare: A guide to best practice. Lippincott Williams & Wilkins.
Nilsen, P. (2020). Overview of theories, models, and frameworks in implementation science. In Handbook on implementation science (pp. 8-31). Edward Elgar Publishing. https://doi.org/10.4337/9781788975995.00008