La faisabilité d’une base de données de reconstruction mammaire

Connor R. McGuire, Laura Allen, Martin R. LeBlanc

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

Objective: To assess whether implementing a breast reconstruction database would be feasible in terms of time commitment, cost, and overall benefits in a tertiary-care hospital. Methods: A survey was sent to 40 Canadian plastic surgeons who have a practice focused on breast reconstruction. The survey assessed demographics, practice characteristics, database use, and opinions on database construction. Univariate descriptive analyses were performed on all variables. Results: Thirty-one surgeons responded to the survey (77.5%). Most were from Ontario (29.1%) and worked in an academic center (83.9%). Of all, 45.3% of surgeons performed more than 50 breast reconstructions yearly. Six (19.4%) surgeons utilized databases that were all started for quality improvement and research purposes. Databases included variables such as demographics, type of reconstruction, complications, surgeons involved, and type of implants. Data are input by research assistants (50%) for approximately 4.2 hours per month at a cost below 200$CAD per month. Databases are funded by research grants (50%), hospital funds (33.3%), and/or division funds (16.7%). Of the surgeons without databases, 60% have considered starting a database. Barriers include being too busy (72%) and impressions of the cost being too high (32%). Surgeons commonly felt that a database would be beneficial at their practice (80%), provincially (77.4%), and nationally (67.7%). Conclusions: Plastic surgeons are open to the idea of constructing a breast reconstruction database and that the costs and time required are lower than expected. Grants or integration with existing databases should be pursued on a provincial level first prior to pursuing a national database.

Título traducido de la contribuciónFeasibility of Implementing a Breast Reconstruction Database
Idioma originalFrench
Páginas (desde-hasta)38-43
Número de páginas6
PublicaciónPlastic Surgery
Volumen27
N.º1
DOI
EstadoPublished - feb. 1 2019

Nota bibliográfica

Funding Information:
Abstract Objective: To assess whether implementing a breast reconstruction database would be feasible in terms of time commitment, cost, and overall benefits in a tertiary-care hospital. Methods: A survey was sent to 40 Canadian plastic surgeons who have a practice focused on breast reconstruction. The survey assessed demographics, practice characteristics, database use, and opinions on database construction. Univariate descriptive analyses were performed on all variables. Results: Thirty-one surgeons responded to the survey (77.5%). Most were from Ontario (29.1%) and worked in an academic center (83.9%). Of all, 45.3% of surgeons performed more than 50 breast reconstructions yearly. Six (19.4%) surgeons utilized databases that were all started for quality improvement and research purposes. Databases included variables such as demographics, type of reconstruction, complications, surgeons involved, and type of implants. Data are input by research assistants (50%) for approximately 4.2 hours per month at a cost below 200$CAD per month. Databases are funded by research grants (50%), hospital funds (33.3%), and/or division funds (16.7%). Of the surgeons without databases, 60% have considered starting a database. Barriers include being too busy (72%) and impressions of the cost being too high (32%). Surgeons commonly felt that a database would be beneficial at their practice (80%), provincially (77.4%), and nationally (67.7%). Conclusions: Plastic surgeons are open to the idea of constructing a breast reconstruction database and that the costs and time required are lower than expected. Grants or integration with existing databases should be pursued on a provincial level first prior to pursuing a national database.

Funding Information:
implants (83.3%), and many others (see Table 2). Surgeons would like their database to also include photos (33.3%), complications (16.7%), quality-of-life data (16.7%), and patient costs (16.7%). Data are mostly input by research assistants (50%) and the surgeon (33.3%), for an average of 4.2 hours per month (SD: 3.4) at a cost of between $100 and $200 (50%). The databases are funded primarily by research grants (50%), hospital funds (33.3%), and division funds (16.7%). Most databases receive input from fewer than 5 (83.3%) surgeons, and the use is well established in their respective practice (83.3%; Table 2).

Publisher Copyright:
© 2018 The Author(s).

ASJC Scopus Subject Areas

  • Surgery

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