ArticlePlastic surgery (Oakville, Ont.)2019
Feasibility of Implementing a Breast Reconstruction Database.
Article in Plastic surgery (Oakville, Ont.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
objectiveTo assess whether implementing a breast reconstruction database would be feasible in terms of time commitment, cost, and overall benefits in a tertiary-care hospital.
methodsA 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.
resultsThirty-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%).
conclusionsPlastic 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.
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