TY - JOUR
T1 - Quality improvement in preoperative assessment by implementation of an electronic decision support tool
AU - Flamm, M.
AU - Fritsch, G.
AU - Hysek, M.
AU - Klausner, S.
AU - Entacher, K.
AU - Panisch, S.
AU - Soennichsen, A.C.
N1 - Cited By :17
Export Date: 14 December 2023
CODEN: JAMAF
Correspondence Address: Flamm, M.; Department of Evidence-based Medicine and Clinical Epidemiology, , Krems, Austria; email: [email protected]
References: Kaplan, E.B., Sheiner, L.B., Boeckmann, A.J., The usefulness of preoperative laboratory screening (1985) JAMA, 253, pp. 3576-3581; Vogt, A.W., Henson, L.C., Unindicated preoperative testing: ASA physical status and financial implications (1997) J Clin Anesth, 9, pp. 437-441; Narr, B.J., Warner, M.E., Schroeder, D.R., Outcomes of patients with no laboratory assessment before anesthesia and a surgical procedure (1997) Mayo Clin Proc, 72, pp. 505-509; Munro, J., Booth, A., Nicholl, J., Routine preoperative testing: a systematic review of the evidence (1997) Health Technol Assess, 1, pp. 1-4; Schein, O.D., Katz, J., Bass, E.B., The value of routine preoperative medical testing before cataract surgery. Study of medical testing for cataract surgery (2000) N Engl J Med, 342, pp. 168-175; Cavallini, G.M., Saccarola, P., D'Amico, R., Impact of preoperative testing on ophthalmologic and systemic outcomes in cataract surgery (2004) Eur J Ophthalmol, 14, pp. 369-374; Keay, L., Lindsley, K., Tielsch, J., Routine preoperative medical testing for cataract surgery (2012) Cochrane Database Syst Rev, 3, pp. CD007293; Dzankic, S., Pastor, D., Gonzalez, C., The prevalence and predictive value of abnormal preoperative laboratory tests in elderly surgical patients (2001) Anesth Analg, 93, pp. 301-308; Fritsch, G., Flamm, M., Hepner, D.L., Abnormal pre-operative tests, pathologic findings of medical history, and their predictive value for perioperative complications (2012) Acta Anaesthesiol Scand, 56, pp. 339-350; Chung, F., Yuan, H., Yin, L., Elimination of preoperative testing in ambulatory surgery (2009) Anesth Analg, 108, pp. 467-475; (2012) NICE-Guideline CG3 Preoperative Tests-the use of routine preoperative tests for elective surgery, , http://www.nice.org.uk, National Institute for Health and Clinical Excellence, accessed 10 Jan 2012; Fleisher, L.A., Beckman, J.A., Brown, K.A., (2007) Circulation, 116, pp. e418-e499. , ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery): developed in collaboration with the American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and Society for Vascular Surgery; Practice advisory for preanesthesia evaluation: a report by the American Society of Anesthesiologists Task Force on Preanesthesia Evaluation (2002) Anesthesiology, 96, pp. 485-496; Apfelbaum, J.L., Connis, R.T., Nickinovich, D.G., Practice advisory for preanesthesia evaluation: an updated report by the American Society of Anesthesiologists Task Force on Preanesthesia Evaluation (2012) Anesthesiology, 116, pp. 522-538; Flamm, M., Fritsch, G., Seer, J., Non-adherence to guidelines for preoperative testing in a secondary care hospital in Austria: the economic impact of unnecessary and double testing (2011) Eur J Anaesthesiol, 28, pp. 867-873; Hofmarcher, M.M., Rack, H.M., Austria: health system review (2006) Health Syst Transition, 8, pp. 1-247; (2009) Preoperative Assessment, , http://www.oegari.at/arbeitsgruppe.asp?id=205, Austrian Society of Anaesthesiology, Resuscitation and Intensive Care Medicine OeGARI, accessed 10 Jan 2012; McKibbon, K.A., Lokker, C., Handler, S.M., The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials (2012) J Am Med Inform Assoc, 19, pp. 22-30; Ferrando, A., Ivaldi, C., Buttiglieri, A., Guidelines for preoperative assessment: impact on clinical practice and costs (2005) Int J Qual Health Care, 17, pp. 323-329; Ohno-Machado, L., Cost-effectiveness of informatics and health IT: impact on finances and quality of care (2012) JAMIA, 19, p. 327; Bryson, G.L., Wyand, A., Bragg, P.R., Preoperative testing is inconsistent with published guidelines and rarely changes management (2006) Can J Anaesth, 53, pp. 236-241; Davis, D.A., Taylor-Vaisey, A., Translating guidelines into practice. A systematic review of theoretic concepts, practical experience and research evidence in the adoption of clinical practice guidelines (1997) CMAJ, 157, pp. 408-416; Mancuso, C.A., Impact of new guidelines on physicians' ordering of preoperative tests (1999) J Gen Intern Med, 14, pp. 166-172; Greer, A.E., Irwin, M.G., Implementation and evaluation of guidelines for preoperative testing in a tertiary hospital (2002) Anaesth Intensive Care, 30, pp. 326-330; (2012) Bundesqualitätsleitlinie zur integrativen Versorgung von erwachsenen Patientinnen und Patienten für die präoperative Diagnostik bei elektiven Eingriffen, , http://www.bmg.gv.at/cms/home/attachments/3/5/6/CH1063/CMS1334240501976/5_praeop_endgueltige_fassung_komplett_neu_0-fehler.pdf, Austrian Ministry of Health, accessed 10 Jan 2012; Weiner, J.P., Kfuri, T., Chan, K., 'e-Iatrogenesis': the most critical unintended consequence of CPOE and other HIT (2007) J Am Med Inform Assoc, 14, pp. 387-388
PY - 2013
Y1 - 2013
N2 - Objectives
To evaluate the impact of the electronic decision support (eDS) tool ‘PReOPerative evaluation’ (PROP) on guideline adherence in preoperative assessment in statutory health care in Salzburg, Austria.
Materials and methods
The evaluation was designed as a non-randomized controlled trial with a historical control group (CG). In 2007, we consecutively recruited 1363 patients admitted for elective surgery, and evaluated the preoperative assessment. In 2008, PROP was implemented and available online. In 2009 we recruited 1148 patients preoperatively assessed using PROP (294 outpatients, 854 hospital sector). Our analysis includes full blood count, liver function tests, coagulation parameters, electrolytes, ECG, and chest x-ray.
Results
The number of tests/patient without indication was 3.39 in the CG vs 0.60 in the intervention group (IG) (p<0.001). 97.8% (CG) vs 31.5% (IG) received at least one unnecessary test. However, we also observed an increase in recommended tests not performed/patient (0.05±0.27 (CG) vs 0.55±1.00 (IG), p<0.001). 4.2% (CG) vs 30.1% (IG) missed at least one necessary test. The guideline adherence (correctly tested/not tested) improved distinctively for all tests (1.6% (CG) vs 49.3% (IG), p<0.001).
Discussion
PROP reduced the number of unnecessary tests/patient by 2.79 which implied a reduction of patients' burden, and a relevant cut in unnecessary costs. However, the advantage in specificity caused an increase in the number of patients incorrectly not tested. Further research is required regarding the impact of PROP on perioperative outcomes.
AB - Objectives
To evaluate the impact of the electronic decision support (eDS) tool ‘PReOPerative evaluation’ (PROP) on guideline adherence in preoperative assessment in statutory health care in Salzburg, Austria.
Materials and methods
The evaluation was designed as a non-randomized controlled trial with a historical control group (CG). In 2007, we consecutively recruited 1363 patients admitted for elective surgery, and evaluated the preoperative assessment. In 2008, PROP was implemented and available online. In 2009 we recruited 1148 patients preoperatively assessed using PROP (294 outpatients, 854 hospital sector). Our analysis includes full blood count, liver function tests, coagulation parameters, electrolytes, ECG, and chest x-ray.
Results
The number of tests/patient without indication was 3.39 in the CG vs 0.60 in the intervention group (IG) (p<0.001). 97.8% (CG) vs 31.5% (IG) received at least one unnecessary test. However, we also observed an increase in recommended tests not performed/patient (0.05±0.27 (CG) vs 0.55±1.00 (IG), p<0.001). 4.2% (CG) vs 30.1% (IG) missed at least one necessary test. The guideline adherence (correctly tested/not tested) improved distinctively for all tests (1.6% (CG) vs 49.3% (IG), p<0.001).
Discussion
PROP reduced the number of unnecessary tests/patient by 2.79 which implied a reduction of patients' burden, and a relevant cut in unnecessary costs. However, the advantage in specificity caused an increase in the number of patients incorrectly not tested. Further research is required regarding the impact of PROP on perioperative outcomes.
KW - electrolyte
KW - adult
KW - article
KW - Austria
KW - blood cell count
KW - controlled study
KW - cost control
KW - decision support system
KW - elective surgery
KW - electrocardiogram
KW - electronic decision support tool
KW - female
KW - health care cost
KW - health care practice
KW - human
KW - information processing device
KW - liver function test
KW - major clinical study
KW - male
KW - practice guideline
KW - preoperative evaluation
KW - reimbursement
KW - thorax radiography
KW - total quality management
KW - aged
KW - clinical guideline
KW - diagnostic test
KW - economics
KW - electronic decision support
KW - evaluation
KW - implementation
KW - middle aged
KW - preoperative care
KW - standard
KW - utilization review
KW - preoperative assessment
KW - Adult
KW - Aged
KW - Decision Support Systems, Clinical
KW - Diagnostic Tests, Routine
KW - Female
KW - Guideline Adherence
KW - Humans
KW - Male
KW - Middle Aged
KW - Practice Guidelines as Topic
KW - Preoperative Care
KW - Quality Improvement
KW - Surgical Procedures, Elective
KW - MLCS
KW - MLOWN
U2 - 10.1136/amiajnl-2012-001178
DO - 10.1136/amiajnl-2012-001178
M3 - Article
SN - 1067-5027
VL - 20
SP - e91-e96
JO - Journal of the American Medical Informatics Association : JAMIA
JF - Journal of the American Medical Informatics Association : JAMIA
IS - E1
ER -