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Acad Med ; 91(5): 717-22, 2016 05.
Article in English | MEDLINE | ID: mdl-26535864

ABSTRACT

PURPOSE: Performing and teaching appropriate follow-up of outpatient laboratory results (LRs) is a challenge. The authors tested peer-review among residents as a potentially valuable intervention. METHOD: Investigators assigned residents to perform self-review (n = 27), peer-review (n = 21), or self- + peer-review (n = 30) of outpatient charts. They also compared residence performance with that of historical controls (n = 20). In September 2012, residents examined 10 LRs from April 2012 onward. A second review in November 2012 ascertained whether performing chart review improved residents' practice behaviors. RESULTS: Initially, the least-square (LS) mean number of LRs without documentation of follow-up per resident in the self-, peer-, and self- + peer-review group was, respectively, 0.5 (SD 1.0), 1.0 (SD 1.7), and 0.9 (SD 1.3), and post intervention, this was 1.0 (SD 0.2), 0.3 (SD 0.2), and 0.6 (SD 0.2) (self- versus peer-review P = .03). Initially the LS mean follow-up time per resident in the self-, peer-, and self- + peer-review group was, respectively, 4.2 (SD 1.2), 6.9 (SD 1.4), and 5.9 (SD 1.2) days, and after the intervention, LS mean time was 5.0 (SD 0.5), 2.5 (SD 0.6), and 3.9 (SD 0.5) days (self- versus peer-review P < .01). Self-review was not associated with significant improvements in practice. CONCLUSIONS: In this comparison of self- and peer-review, only residents who performed peer-review demonstrated significant improvements in their documentation practices. These findings support the use of resident peer-review in improving LR follow-up, and potentially, in other, broader resident quality improvement initiatives.


Subject(s)
Aftercare/standards , Ambulatory Care/standards , Clinical Competence/statistics & numerical data , Clinical Laboratory Services , Internship and Residency/standards , Peer Review, Health Care , Self-Assessment , Aftercare/statistics & numerical data , Ambulatory Care/statistics & numerical data , Boston , Female , Humans , Internal Medicine/education , Internship and Residency/statistics & numerical data , Logistic Models , Male , Outcome and Process Assessment, Health Care , Program Evaluation
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