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  • 1
    In: HAND, SAGE Publications, Vol. 15, No. 5 ( 2020-09), p. 608-614
    Abstract: Background: Carpal tunnel release (CTR) can be performed with a variety of anesthesia techniques. General anesthesia is associated with higher risk profile and increased resource utilization, suggesting it should not be routinely used for CTR. The purpose of this study was to examine the patient factors associated with surgeons’ requests for general anesthesia for CTR and the frequency of routine use of general anesthesia by Veterans Health Administration (VHA) surgeons and facilities. Methods: National VHA data for fiscal years 2015 and 2017 were used to identify patients receiving CTR. Mixed-effects logistic regression was used to evaluate patient, procedure, and surgeon factors associated with requests by the surgeon for general anesthesia versus other anesthesia techniques. Results: In all, 18 145 patients underwent CTR performed by 780 surgeons in 113 VHA facilities. Overall, there were 2218 (12.2%) requests for general anesthesia. Although some patient (eg, older age, obesity), procedure (eg, open vs endoscopic), and surgeon (eg, higher volume) factors were associated with lower odds of requests for general anesthesia, there was substantial facility- and surgeon-level variability. The percentage of patients with general anesthesia requested ranged from 0% to 100% across surgeons. Three facilities and 28 surgeons who performed at least 5 CTRs requested general anesthesia for more than 75% of patients. Conclusions: Where CTR is performed and by whom appear to influence requests for general anesthesia more than patient factors in this study. Avoidance of routine use of general anesthesia for CTR should be considered in future clinical practice guidelines and quality measures.
    Type of Medium: Online Resource
    ISSN: 1558-9447 , 1558-9455
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2316440-2
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  • 2
    In: BMC Health Services Research, Springer Science and Business Media LLC, Vol. 19, No. 1 ( 2019-12)
    Abstract: The American Society of Anesthesiologists Physical Status (ASA-PS) classification system was developed to categorize the fitness of patients before surgery. Increasingly, the ASA-PS has been applied to other uses including justification of inpatient admission. Our objectives were to develop and cross-validate a statistical model for predicting ASA-PS; and 2) assess the concurrent and predictive validity of the model by assessing associations between model-derived ASA-PS, observed ASA-PS, and a diverse set of 30-day outcomes. Methods Using the 2014 American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Participant Use Data File, we developed and internally cross-validated multinomial regression models to predict ASA-PS using preoperative NSQIP data. Accuracy was assessed with C-Statistics and calibration plots. We assessed both concurrent and predictive validity of model-derived ASA-PS relative to observed ASA-PS and 30-day outcomes. To aid further research and use of the ASA-PS model, we implemented it into an online calculator. Results Of the 566,797 elective procedures in the final analytic dataset, 8.9% were ASA-PS 1, 48.9% were ASA-PS 2, 39.1% were ASA-PS 3, and 3.2% were ASA-PS 4. The accuracy of the 21-variable model to predict ASA-PS was C = 0.77 +/− 0.0025. The model-derived ASA-PS had stronger association with key indicators of preoperative status including comorbidities and higher BMI (concurrent validity) compared to observed ASA-PS, but less strong associations with postoperative complications (predictive validity). The online ASA-PS calculator may be accessed at https://s-spire-clintools.shinyapps.io/ASA_PS_Estimator/ Conclusions Model-derived ASA-PS better tracked key indicators of preoperative status compared to observed ASA-PS. The ability to have an electronically derived measure of ASA-PS can potentially be useful in research, quality measurement, and clinical applications.
    Type of Medium: Online Resource
    ISSN: 1472-6963
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2050434-2
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  • 3
    In: JAMA Network Open, American Medical Association (AMA), Vol. 4, No. 5 ( 2021-05-06), p. e217470-
    Type of Medium: Online Resource
    ISSN: 2574-3805
    Language: English
    Publisher: American Medical Association (AMA)
    Publication Date: 2021
    detail.hit.zdb_id: 2931249-8
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