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Formalisation and subordination: a contingency theory approach to optimising primary care teams
OBJECTIVE: While there is consensus on the need to strengthen primary care capacities to improve healthcare systems’ performance and sustainability, there is only limited evidence on the best way to organise primary care teams. In this article, we use a conceptual framework derived from contingency...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254417/ https://www.ncbi.nlm.nih.gov/pubmed/30478127 http://dx.doi.org/10.1136/bmjopen-2018-025007 |
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author | Contandriopoulos, Damien Perroux, Mélanie Duhoux, Arnaud |
author_facet | Contandriopoulos, Damien Perroux, Mélanie Duhoux, Arnaud |
author_sort | Contandriopoulos, Damien |
collection | PubMed |
description | OBJECTIVE: While there is consensus on the need to strengthen primary care capacities to improve healthcare systems’ performance and sustainability, there is only limited evidence on the best way to organise primary care teams. In this article, we use a conceptual framework derived from contingency theory to analyse the structures and process optimisation of multiprofessional primary care teams. DESIGN: We focus specifically on inter-relationships between three dimensions: team size, formalisation of care processes and nurse autonomy. Interview-based qualitative data for each of these three dimensions were converted into ordinal scores. Data came from eight pilot sites in Quebec (Canada). RESULTS: We found a positive association between team size and formalisation (correlation score 0.55) and a negative covariation (correlation score −0.64) between care process formalisation and nurses’ autonomy/subordination. Despite the study being exploratory in nature, such relationships validate the idea that these dimensions should be analysed conjointly and are coherent with our suggestion that using a framework derived from a contingency approach makes sense. CONCLUSIONS: The results provide insights about the structural design of nurse-intensive primary care teams. Non-physicians’ professional autonomy is likely to be higher in smaller teams. Likewise, a primary care team that aims to increase nurses’ and other non-physicians’ professional autonomy should be careful about the extent to which it formalises its processes. |
format | Online Article Text |
id | pubmed-6254417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62544172018-12-11 Formalisation and subordination: a contingency theory approach to optimising primary care teams Contandriopoulos, Damien Perroux, Mélanie Duhoux, Arnaud BMJ Open General practice / Family practice OBJECTIVE: While there is consensus on the need to strengthen primary care capacities to improve healthcare systems’ performance and sustainability, there is only limited evidence on the best way to organise primary care teams. In this article, we use a conceptual framework derived from contingency theory to analyse the structures and process optimisation of multiprofessional primary care teams. DESIGN: We focus specifically on inter-relationships between three dimensions: team size, formalisation of care processes and nurse autonomy. Interview-based qualitative data for each of these three dimensions were converted into ordinal scores. Data came from eight pilot sites in Quebec (Canada). RESULTS: We found a positive association between team size and formalisation (correlation score 0.55) and a negative covariation (correlation score −0.64) between care process formalisation and nurses’ autonomy/subordination. Despite the study being exploratory in nature, such relationships validate the idea that these dimensions should be analysed conjointly and are coherent with our suggestion that using a framework derived from a contingency approach makes sense. CONCLUSIONS: The results provide insights about the structural design of nurse-intensive primary care teams. Non-physicians’ professional autonomy is likely to be higher in smaller teams. Likewise, a primary care team that aims to increase nurses’ and other non-physicians’ professional autonomy should be careful about the extent to which it formalises its processes. BMJ Publishing Group 2018-11-25 /pmc/articles/PMC6254417/ /pubmed/30478127 http://dx.doi.org/10.1136/bmjopen-2018-025007 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | General practice / Family practice Contandriopoulos, Damien Perroux, Mélanie Duhoux, Arnaud Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title | Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title_full | Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title_fullStr | Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title_full_unstemmed | Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title_short | Formalisation and subordination: a contingency theory approach to optimising primary care teams |
title_sort | formalisation and subordination: a contingency theory approach to optimising primary care teams |
topic | General practice / Family practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254417/ https://www.ncbi.nlm.nih.gov/pubmed/30478127 http://dx.doi.org/10.1136/bmjopen-2018-025007 |
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