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Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study

BACKGROUND: Malnutrition in elderly institutionalized patients is a significant challenge associated with adverse health outcomes. The ‘MyFood’ decision support system was designed to prevent and treat malnutrition and has previously been studied in a hospital setting. The aim of this study was to e...

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Autores principales: Varsi, Cecilie, Andersen, Lene Frost, Koksvik, Gunhild Tellebon, Severinsen, Frida, Paulsen, Mari Mohn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012554/
https://www.ncbi.nlm.nih.gov/pubmed/36915076
http://dx.doi.org/10.1186/s12913-023-09227-8
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author Varsi, Cecilie
Andersen, Lene Frost
Koksvik, Gunhild Tellebon
Severinsen, Frida
Paulsen, Mari Mohn
author_facet Varsi, Cecilie
Andersen, Lene Frost
Koksvik, Gunhild Tellebon
Severinsen, Frida
Paulsen, Mari Mohn
author_sort Varsi, Cecilie
collection PubMed
description BACKGROUND: Malnutrition in elderly institutionalized patients is a significant challenge associated with adverse health outcomes. The ‘MyFood’ decision support system was designed to prevent and treat malnutrition and has previously been studied in a hospital setting. The aim of this study was to explore the experiences of nursing staff regarding the implementation of MyFood in settings treating elderly patients. METHODS: The study was conducted in two settings treating elderly patients in Norway. Nursing staff received training in how to follow-up patients with MyFood. Qualitative interviews were conducted with 12 nursing staff. The Consolidated Framework for Implementation Research (CFIR) was used to guide the data collection and the thematic data analysis. RESULTS: The implementation of a digital decision support system to prevent and treat malnutrition into settings treating elderly patients was found to be affected by intervention-related, contextual, and personal factors. Although nursing staff experienced several advantages, the leadership engagement was low and hampered the implementation. CONCLUSION: Nursing staff experienced several advantages with implementing a digital decision support system for the prevention and treatment of malnutrition in institutionalized elderly patients, including quality improvements and time savings. The results indicate that the leadership engagement was weak and that some nursing staff experienced low self-efficacy in digital competence. Future improvements include increasing the level of training, using MyFood throughout the patient course and involving the patient’s next-of-kin. TRIAL REGISTRATION: The study was acknowledged by The Norwegian Centre for Research Data (NSD), ref. number 135175.
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spelling pubmed-100125542023-03-15 Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study Varsi, Cecilie Andersen, Lene Frost Koksvik, Gunhild Tellebon Severinsen, Frida Paulsen, Mari Mohn BMC Health Serv Res Research BACKGROUND: Malnutrition in elderly institutionalized patients is a significant challenge associated with adverse health outcomes. The ‘MyFood’ decision support system was designed to prevent and treat malnutrition and has previously been studied in a hospital setting. The aim of this study was to explore the experiences of nursing staff regarding the implementation of MyFood in settings treating elderly patients. METHODS: The study was conducted in two settings treating elderly patients in Norway. Nursing staff received training in how to follow-up patients with MyFood. Qualitative interviews were conducted with 12 nursing staff. The Consolidated Framework for Implementation Research (CFIR) was used to guide the data collection and the thematic data analysis. RESULTS: The implementation of a digital decision support system to prevent and treat malnutrition into settings treating elderly patients was found to be affected by intervention-related, contextual, and personal factors. Although nursing staff experienced several advantages, the leadership engagement was low and hampered the implementation. CONCLUSION: Nursing staff experienced several advantages with implementing a digital decision support system for the prevention and treatment of malnutrition in institutionalized elderly patients, including quality improvements and time savings. The results indicate that the leadership engagement was weak and that some nursing staff experienced low self-efficacy in digital competence. Future improvements include increasing the level of training, using MyFood throughout the patient course and involving the patient’s next-of-kin. TRIAL REGISTRATION: The study was acknowledged by The Norwegian Centre for Research Data (NSD), ref. number 135175. BioMed Central 2023-03-13 /pmc/articles/PMC10012554/ /pubmed/36915076 http://dx.doi.org/10.1186/s12913-023-09227-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Varsi, Cecilie
Andersen, Lene Frost
Koksvik, Gunhild Tellebon
Severinsen, Frida
Paulsen, Mari Mohn
Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title_full Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title_fullStr Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title_full_unstemmed Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title_short Intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
title_sort intervention-related, contextual and personal factors affecting the implementation of an evidence-based digital system for prevention and treatment of malnutrition in elderly institutionalized patients: a qualitative study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012554/
https://www.ncbi.nlm.nih.gov/pubmed/36915076
http://dx.doi.org/10.1186/s12913-023-09227-8
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