In:
Plastic and Reconstructive Surgery - Global Open, Ovid Technologies (Wolters Kluwer Health), Vol. 8, No. 2 ( 2020-02-25), p. e2630-
Kurzfassung:
Specific measures tailored to the properties of individual procedures will ensure the appropriate evaluation of quality. Because postmastectomy breast reconstruction (PMBR) is becoming increasingly common, a review of the literature is timely to identify potential breast reconstruction–specific measures that can be applied by institutions and national healthcare organizations to improve quality. Methods: We searched PubMed and Embase for studies examining the quality of care for patients undergoing PMBR. Data extracted from the articles include basic study characteristics, the number of quality metrics, type of quality metric (defined by Donabedian model), and the domain of quality (defined by the National Academy of Medicine). Results: A total of 2,158 articles were identified in the initial search, and 440 studies were included for data extraction. The most common type of quality measure was outcome measures (91%), and the least common measure was structure measures (1%). The most common metrics were operative time (41%), hospital type (28%), and aspects of the patient–provider interactions (20%). Additionally, we found that timeliness and equity were least common among the 6 National Academy of Medicine domains. Conclusions: We identified metrics utilized in the PMBR, some of which can be further investigated through high-level evidence studies and incorporated into policy. Because many factors influence surgical outcomes and breast reconstruction is driven by patient preferences, an inclusion of structure, process, and outcome metrics will help improve care for this patient population. Moreover, nonpunitive initiatives, specifically quality collaboratives, may provide an avenue to improve care quality without compromising patient safety.
Materialart:
Online-Ressource
ISSN:
2169-7574
DOI:
10.1097/GOX.0000000000002630
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2020
ZDB Id:
2723993-7
