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Design propositions for nudging in healthcare: Adoption of national electronic health record systems

OBJECTIVES: Electronic health records (EHRs) are considered important for improving efficiency and reducing costs of a healthcare system. However, the adoption of EHR systems differs among countries and so does the way the decision to participate in EHRs is presented. Nudging is a concept that deals...

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Autores principales: Steinhauser, Stefanie, Raptis, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262653/
https://www.ncbi.nlm.nih.gov/pubmed/37325075
http://dx.doi.org/10.1177/20552076231181208
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author Steinhauser, Stefanie
Raptis, Georgios
author_facet Steinhauser, Stefanie
Raptis, Georgios
author_sort Steinhauser, Stefanie
collection PubMed
description OBJECTIVES: Electronic health records (EHRs) are considered important for improving efficiency and reducing costs of a healthcare system. However, the adoption of EHR systems differs among countries and so does the way the decision to participate in EHRs is presented. Nudging is a concept that deals with influencing human behaviour within the research stream of behavioural economics. In this paper, we focus on the effects of the choice architecture on the decision for the adoption of national EHRs. Our study aims to link influences on human behaviour through nudging with the adoption of EHRs to investigate how choice architects can facilitate the adoption of national information systems. METHODS: We employ a qualitative explorative research design, namely the case study method. Using theoretical sampling, we selected four cases (i.e., countries) for our study: Estonia, Austria, the Netherlands, and Germany. We collected and analyzed data from various primary and secondary sources: ethnographic observation, interviews, scientific papers, homepages, press releases, newspaper articles, technical specifications, publications from governmental bodies, and formal studies. RESULTS: The findings from our European case studies show that designing for EHR adoption should encompass choice architecture elements (i.e., defaults), technical elements (i.e., choice granularity and access transparency), and institutional elements (i.e., regulations for data protection, information campaigns, and financial incentives) in combination. CONCLUSIONS: Our findings provide insights on the design of the adoption environments of large-scale, national EHR systems. Future research could estimate the magnitude of effects of the determinants.
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spelling pubmed-102626532023-06-15 Design propositions for nudging in healthcare: Adoption of national electronic health record systems Steinhauser, Stefanie Raptis, Georgios Digit Health Original Research OBJECTIVES: Electronic health records (EHRs) are considered important for improving efficiency and reducing costs of a healthcare system. However, the adoption of EHR systems differs among countries and so does the way the decision to participate in EHRs is presented. Nudging is a concept that deals with influencing human behaviour within the research stream of behavioural economics. In this paper, we focus on the effects of the choice architecture on the decision for the adoption of national EHRs. Our study aims to link influences on human behaviour through nudging with the adoption of EHRs to investigate how choice architects can facilitate the adoption of national information systems. METHODS: We employ a qualitative explorative research design, namely the case study method. Using theoretical sampling, we selected four cases (i.e., countries) for our study: Estonia, Austria, the Netherlands, and Germany. We collected and analyzed data from various primary and secondary sources: ethnographic observation, interviews, scientific papers, homepages, press releases, newspaper articles, technical specifications, publications from governmental bodies, and formal studies. RESULTS: The findings from our European case studies show that designing for EHR adoption should encompass choice architecture elements (i.e., defaults), technical elements (i.e., choice granularity and access transparency), and institutional elements (i.e., regulations for data protection, information campaigns, and financial incentives) in combination. CONCLUSIONS: Our findings provide insights on the design of the adoption environments of large-scale, national EHR systems. Future research could estimate the magnitude of effects of the determinants. SAGE Publications 2023-06-07 /pmc/articles/PMC10262653/ /pubmed/37325075 http://dx.doi.org/10.1177/20552076231181208 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Steinhauser, Stefanie
Raptis, Georgios
Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title_full Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title_fullStr Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title_full_unstemmed Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title_short Design propositions for nudging in healthcare: Adoption of national electronic health record systems
title_sort design propositions for nudging in healthcare: adoption of national electronic health record systems
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262653/
https://www.ncbi.nlm.nih.gov/pubmed/37325075
http://dx.doi.org/10.1177/20552076231181208
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