Prior to Implementation of Digital Pathology—Assessment of Expectations among Staff by Means of Normalization Process Theory

Minne L.N. Mikkelsen*, Marianne H. Frederiksen, Niels Marcussen, Bethany Williams, Kristian Kidholm

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Abstrakt

The Region of Southern Denmark is the first in Denmark to implement digital pathology (DIPA), starting at the end of 2020. The DIPA process involves changes in workflow, and the pathologist will have to diagnose based on digital whole slide imaging instead of through the traditional use of the conventional light microscope and glass slides. In addition, in the laboratory, the employees will have to implement one more step to their workflow—scanning of tissue. The aim of our study was to assess the expectations and readiness among employees and management towards the implementation of DIPA, including their thoughts and motivations for starting to use DIPA. We used a mixed-method approach. Based on the findings derived from 18 semi-structured interviews with employees from the region’s departments of pathology, we designed a questionnaire, including questions from the normalization measure development tool. The questionnaires were e-mailed to 181 employees. Of these employees, 131 responded to the survey. Overall, they reported feeling sufficiently tech-savvy to be able to use DIPA, and they had high expectations as well as motivation and readiness for the upcoming changes. However, the employees were skeptical regarding the allocation of resources, and few were aware of reports about the effects of DIPA. Based on the findings, it seems to be important to provide not only a thorough introduction to the new intervention and the changes it will entail, but also to continue to ensure that the staff know how it works and why it is necessary to implement.

OriginalsprogEngelsk
Artikelnummer7253
TidsskriftInternational Journal of Environmental Research and Public Health
Vol/bind19
Udgave nummer12
Antal sider19
ISSN1661-7827
DOI
StatusUdgivet - 1. jun. 2022

Bibliografisk note

Funding Information:
This research was funded by Centre for Innovative Medical Technology, Odense University Hospital, and Hospital Sønderjylland, University Hospital of Southern Denmark, and University of Southern Denmark and the Department of Pathology, Odense University Hospital. The authors would like to thank OPEN for help and guidance according to data management and analysis. Furthermore, we indeed would like to thank the Departments of Pathology in the Region of Southern Denmark for participating in the study and for giving their time. We would also like to thank Tracy Finch and Jason Scott for helping out with questions about NoMAD and analysis of NoMAD. Thanks to Jason Scott for sharing figure template for illustrating findings according to NoMAD sub-constructs and showing how to analyze an overall score for each core mechanism.

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