Literature DB >> 26825151

Preoperative Laboratory Investigations: Rates and Variability Prior to Low-risk Surgical Procedures.

Kyle R Kirkham1, Duminda N Wijeysundera, Ciara Pendrith, Ryan Ng, Jack V Tu, Andrew S Boozary, Joshua Tepper, Michael J Schull, Wendy Levinson, R Sacha Bhatia.   

Abstract

BACKGROUND: Increasing attention has been focused on low-value healthcare services. Through Choosing Wisely campaigns, routine laboratory testing before low-risk surgery has been discouraged in the absence of clinical indications. The authors investigated rates, determinants, and institutional variation in laboratory testing before low-risk procedures.
METHODS: Patients who underwent ophthalmologic surgeries or predefined low-risk surgeries in Ontario, Canada, between April 1, 2008, and March 31, 2013, were identified from population-based administrative databases. Preoperative blood work was defined as a complete blood count, prothrombin time, partial thromboplastin, or basic metabolic panel within 60 days before an index procedure. Adjusted associations between patient and institutional factors and preoperative testing were assessed with hierarchical multivariable logistic regression. Institutional variation was characterized using the median odds ratio.
RESULTS: The cohort included 906,902 patients who underwent 1,330,466 procedures (57.1% ophthalmologic and 42.9% low-risk surgery) at 119 institutions. Preoperative blood work preceded 400,058 (30.1%) procedures. The unadjusted institutional rate of preoperative blood work varied widely (0.0 to 98.1%). In regression modeling, significant predictors of preoperative testing included atrial fibrillation (adjusted odds ratio [AOR], 2.58; 95% CI, 2.51 to 2.66), preoperative medical consultation (AOR, 1.68; 95% CI, 1.65 to 1.71), previous mitral valve replacement (AOR, 2.33; 95% CI, 2.10 to 2.58), and liver disease (AOR, 1.69; 95% CI, 1.55 to 1.84). The median odds ratio for interinstitutional variation was 2.43.
CONCLUSIONS: Results of this study suggest that testing is associated with a range of clinical covariates. However, an association was similarly identified with preoperative consultation, and significant variation between institutions exists across the jurisdiction.

Entities:  

Mesh:

Year:  2016        PMID: 26825151     DOI: 10.1097/ALN.0000000000001013

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  14 in total

1.  Variability and Costs of Low-Value Preoperative Testing for Carpal Tunnel Release Surgery.

Authors:  Alex H S Harris; Esther L Meerwijk; Robin N Kamal; Erika D Sears; Mary Hawn; Dan Eisenberg; Andrea K Finlay; Hildi Hagedorn; Seshadri Mudumbai
Journal:  Anesth Analg       Date:  2019-09       Impact factor: 5.108

2.  Preoperative pulmonary function tests before low-risk surgery in Japan: a retrospective cohort study using a claims database.

Authors:  Hiroshi Yonekura; Kazuki Ide; Kahori Seto; Yohei Kawasaki; Shiro Tanaka; Isao Nahara; Chikashi Takeda; Koji Kawakami
Journal:  J Anesth       Date:  2017-11-04       Impact factor: 2.078

3.  Prevalence and Factors Associated With Low-Value Preoperative Testing for Patients Undergoing Carpal Tunnel Release at an Academic Medical Center.

Authors:  Qian Ding; Amber W Trickey; Seshadri Mudumbai; Robin N Kamal; Erika D Sears; Alex H S Harris
Journal:  Hand (N Y)       Date:  2020-02-26

4.  Routine perioperative practices and postoperative outcomes for elective lumbar laminectomies.

Authors:  Mina Tohidi; Tiffany Lung; David Yen
Journal:  J Spine Surg       Date:  2018-09

5.  Variability and Costs of Low-Value Preoperative Testing for Cataract Surgery Within the Veterans Health Administration.

Authors:  Seshadri C Mudumbai; Suzann Pershing; Tom Bowe; Robin N Kamal; Erika D Sears; Mary T Hawn; Dan Eisenberg; Andrea K Finlay; Hildi Hagedorn; Alex H S Harris
Journal:  JAMA Netw Open       Date:  2021-05-03

6.  Influence of Institution-Based Factors on Preoperative Blood Testing Prior to Low-Risk Surgery: A Bayesian Generalized Linear Mixed Approach.

Authors:  Kazuki Ide; Hiroshi Yonekura; Yohei Kawasaki; Koji Kawakami
Journal:  Comput Math Methods Med       Date:  2017-12-07       Impact factor: 2.238

7.  An Evidence-Based Health Care Knowledge Integration System: Assessment Protocol.

Authors:  Véronique Nabelsi; Sylvain Croteau
Journal:  JMIR Res Protoc       Date:  2019-03-11

8.  Role of Patient- and Surgery-Specific Risk in Receipt of Outpatient Preoperative Testing.

Authors:  Kevin R Riggs; Eric B Bass; Jodi B Segal
Journal:  Perioper Care Oper Room Manag       Date:  2018-03-06

Review 9.  Preoperative laboratory testing in elderly patients.

Authors:  Kyung-Cheon Lee; Il-Ok Lee
Journal:  Curr Opin Anaesthesiol       Date:  2021-08-01       Impact factor: 2.706

10.  Physician Characteristics Associated With Ordering 4 Low-Value Screening Tests in Primary Care.

Authors:  Zachary Bouck; Jacob Ferguson; Noah M Ivers; Eve A Kerr; Kaveh G Shojania; Min Kim; Peter Cram; Ciara Pendrith; Graham C Mecredy; Richard H Glazier; Joshua Tepper; Peter C Austin; Danielle Martin; Wendy Levinson; R Sacha Bhatia
Journal:  JAMA Netw Open       Date:  2018-10-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.