Literature DB >> 26448800

Electronic Ordering System Improves Postoperative Pain Management After Total Knee or Hip Arthroplasty.

M K Urban1, T Chiu2, S Wolfe3, S Magid3.   

Abstract

OBJECTIVES: The authors investigated the impact of computerized provider order entry (CPOE) on the delivery times of analgesia and subsequent patient outcomes. We hypothesized that patients would report less pain and use less pain medications compared with the previous paper-based system.
METHODS: Two groups of patients after a total hip (THA) or knee arthroplasty (TKA) were retrospectively compared: one comprising 106 patients when the paper-based ordering system was in effect (conventional group), and one comprising 96 patients after CPOE was installed (electronic group). All patients received a regional anaesthetic at surgery (combined spinal-epidural). TKA patients also received a single-injection femoral nerve block. After transfer to the postoperative anaesthesia care unit (PACU), a patient-controlled epidural analgesia (PCEA) infusion was initiated. The following data was collected from the PACU record: time to initiation of analgesia, visual analog scale (VAS) pain scores at initiation of analgesia and hourly for the first postoperative day (POD), volume of pain medication used, length of stay (LOS) in the PACU and the hospital.
RESULTS: The time to initiation of analgesia from arrival in the PACU was significantly lower in the electronic group compared to the conventional group (24.5 ± 28.3 minutes vs. 51.1 ± 26.2 minutes; mean ± SD, p < 0.001), as were VAS pain scores (0.82 ± 1.08 vs. 1.5 ± 1.52, p < 0.001) and the volume of PCEA needed to control pain (27.9 ± 20.2 ml vs. 34.8 ± 20.3 ml, p = 0.001) at 4 hours postoperatively. PACU LOS and hospital LOS did not significantly differ in the two groups.
CONCLUSIONS: After implementation of CPOE, patients received their postoperative analgesia faster, had less pain, and required less medication.

Entities:  

Keywords:  Patient controlled anesthesia (PCA); arthroplasty; computerized physician order entry (CPOE); electronic health records and systems; medication management

Mesh:

Substances:

Year:  2015        PMID: 26448800      PMCID: PMC4586345          DOI: 10.4338/ACI-2014-12-RA-0114

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  21 in total

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Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

2.  The effects of femoral nerve blockade in conjunction with epidural analgesia after total knee arthroplasty.

Authors:  Jacques T YaDeau; Janet B Cahill; Mark W Zawadsky; Nigel E Sharrock; Friedrich Bottner; Christine M Morelli; Richard L Kahn; Thomas P Sculco
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4.  PCA safety data review after clinical decision support and smart pump technology implementation.

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5.  The prevention of postoperative pain.

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Review 6.  Pain management after major orthopaedic surgery: current strategies and new concepts.

Authors:  Raymond S Sinatra; Jaime Torres; Arsenio M Bustos
Journal:  J Am Acad Orthop Surg       Date:  2002 Mar-Apr       Impact factor: 3.020

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Authors:  Lloyd Davis; Luigi Brunetti; Eui-Kyung Lee; Nari Yoon; Sung-Hee Cho; Dong-Churl Suh
Journal:  Res Social Adm Pharm       Date:  2013-12-03

Review 8.  Risk factors for venous thromboembolism after total hip and knee replacement surgery.

Authors:  Richard H White; Mark C Henderson
Journal:  Curr Opin Pulm Med       Date:  2002-09       Impact factor: 3.155

9.  Impact of computerized physician order entry on clinical practice in a newborn intensive care unit.

Authors:  Leandro Cordero; Lynn Kuehn; Rajee R Kumar; Hagop S Mekhjian
Journal:  J Perinatol       Date:  2004-02       Impact factor: 2.521

10.  Implementation of standard order sets for patient-controlled analgesia.

Authors:  Lynn Marie Weber; Virginia L Ghafoor; Pamela Phelps
Journal:  Am J Health Syst Pharm       Date:  2008-06-15       Impact factor: 2.637

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  2 in total

1.  Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

Authors:  Peter L Elkin; Daniel R Schlegel; Michael Anderson; Jordan Komm; Gregoire Ficheur; Leslie Bisson
Journal:  Appl Clin Inform       Date:  2018-06-13       Impact factor: 2.342

2.  Health Information Technology Continues to Show Positive Effect on Medical Outcomes: Systematic Review.

Authors:  Amanda Beane; Clemens Scott Kruse
Journal:  J Med Internet Res       Date:  2018-02-05       Impact factor: 5.428

  2 in total

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