Multi-level analysis of electronic health record adoption by health care professionals: A study protocol
BACKGROUND: The electronic health record (EHR) is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be ac...
Autores principales: | , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873301/ https://www.ncbi.nlm.nih.gov/pubmed/20416054 http://dx.doi.org/10.1186/1748-5908-5-30 |
_version_ | 1782181309343334400 |
---|---|
author | Gagnon, Marie-Pierre Ouimet, Mathieu Godin, Gaston Rousseau, Michel Labrecque, Michel Leduc, Yvan Ben Abdeljelil, Anis |
author_facet | Gagnon, Marie-Pierre Ouimet, Mathieu Godin, Gaston Rousseau, Michel Labrecque, Michel Leduc, Yvan Ben Abdeljelil, Anis |
author_sort | Gagnon, Marie-Pierre |
collection | PubMed |
description | BACKGROUND: The electronic health record (EHR) is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless, the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings, as well as possible interrelations between these factors. METHODS: A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region (Canada). At the individual level, a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact, depending on the pace of EHR implementation, key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical models would be applied if necessary. RESULTS: The study will assess the contribution of organisational and individual factors, as well as their interactions, to the implementation of EHR in clinical settings. CONCLUSIONS: These results will be very relevant for decision makers and managers who are facing the challenge of implementing EHR in the healthcare system. In addition, this research constitutes a major contribution to the field of knowledge transfer and implementation science. |
format | Text |
id | pubmed-2873301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28733012010-05-20 Multi-level analysis of electronic health record adoption by health care professionals: A study protocol Gagnon, Marie-Pierre Ouimet, Mathieu Godin, Gaston Rousseau, Michel Labrecque, Michel Leduc, Yvan Ben Abdeljelil, Anis Implement Sci Study Protocol BACKGROUND: The electronic health record (EHR) is an important application of information and communication technologies to the healthcare sector. EHR implementation is expected to produce benefits for patients, professionals, organisations, and the population as a whole. These benefits cannot be achieved without the adoption of EHR by healthcare professionals. Nevertheless, the influence of individual and organisational factors in determining EHR adoption is still unclear. This study aims to assess the unique contribution of individual and organisational factors on EHR adoption in healthcare settings, as well as possible interrelations between these factors. METHODS: A prospective study will be conducted. A stratified random sampling method will be used to select 50 healthcare organisations in the Quebec City Health Region (Canada). At the individual level, a sample of 15 to 30 health professionals will be chosen within each organisation depending on its size. A semi-structured questionnaire will be administered to two key informants in each organisation to collect organisational data. A composite adoption score of EHR adoption will be developed based on a Delphi process and will be used as the outcome variable. Twelve to eighteen months after the first contact, depending on the pace of EHR implementation, key informants and clinicians will be contacted once again to monitor the evolution of EHR adoption. A multilevel regression model will be applied to identify the organisational and individual determinants of EHR adoption in clinical settings. Alternative analytical models would be applied if necessary. RESULTS: The study will assess the contribution of organisational and individual factors, as well as their interactions, to the implementation of EHR in clinical settings. CONCLUSIONS: These results will be very relevant for decision makers and managers who are facing the challenge of implementing EHR in the healthcare system. In addition, this research constitutes a major contribution to the field of knowledge transfer and implementation science. BioMed Central 2010-04-23 /pmc/articles/PMC2873301/ /pubmed/20416054 http://dx.doi.org/10.1186/1748-5908-5-30 Text en Copyright ©2010 Gagnon et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Study Protocol Gagnon, Marie-Pierre Ouimet, Mathieu Godin, Gaston Rousseau, Michel Labrecque, Michel Leduc, Yvan Ben Abdeljelil, Anis Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title | Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title_full | Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title_fullStr | Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title_full_unstemmed | Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title_short | Multi-level analysis of electronic health record adoption by health care professionals: A study protocol |
title_sort | multi-level analysis of electronic health record adoption by health care professionals: a study protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873301/ https://www.ncbi.nlm.nih.gov/pubmed/20416054 http://dx.doi.org/10.1186/1748-5908-5-30 |
work_keys_str_mv | AT gagnonmariepierre multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT ouimetmathieu multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT godingaston multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT rousseaumichel multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT labrecquemichel multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT leducyvan multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol AT benabdeljelilanis multilevelanalysisofelectronichealthrecordadoptionbyhealthcareprofessionalsastudyprotocol |