Literature DB >> 29682619

Path of least resistance: how computerised provider order entry can lead to (and reduce) wasteful practices.

Joseph Choi1,2, Cori Rebecca Atlin1.   

Abstract

BACKGROUND: Computerised provider order entry (CPOE) is rapidly becoming the mainstay in clinical care and has the potential to improve provider efficiency and accuracy. However, this hinges on careful planning and implementation. Poorly planned CPOE order sets can lead to undetected errors and waste. In our emergency department (ED), lactate dehydrogenase (LDH) was bundled into various blood work panels but had little clinical value.
OBJECTIVES: This quality improvement initiative aimed to reduce unnecessary LDH testing in the ED.
METHODS: A group of ED physicians reviewed CPOE blood work panels and uncoupled LDH in conditions where it was deemed not to provide any clinically useful information. We measured the daily number of LDH tests performed before and after its removal. We tracked the frequency of other serum tests as controls. We also analysed the number of add-on LDH (ie, to add LDH to samples already sent to the lab) as a balancing measure, since this can disrupt work flow and delay care.
RESULTS: Through this intervention, we reduced the number of LDH tests performed by 69%, from an average of 75.1 tests per day to 23.2 (P<0.0005). The baseline controls did not differ after the intervention (eg, a complete blood count was performed 197.7 and 196.1 times per day preintervention and postintervention, respectively (P=0.7663)). There was less than one add-on LDH per day on average.
CONCLUSIONS: CPOE care templates can be powerful in shaping behaviours and reducing variability. However, close oversight of these panels is necessary to prevent errors and waste.

Entities:  

Keywords:  decision making; decision support, computerised; emergency department; information technology; quality improvement

Year:  2018        PMID: 29682619      PMCID: PMC5905735          DOI: 10.1136/bmjoq-2018-000345

Source DB:  PubMed          Journal:  BMJ Open Qual        ISSN: 2399-6641


Introduction

Lactate dehydrogenase (LDH) is an enzyme that is found in nearly all tissues1 2 and can be elevated from many diseases (eg, myocardial infarction,3 tumour lysis syndrome,4 haemolysis5 and Pneumocysitis carinii pneumonia6). LDH is included in several computerised provider order entry (CPOE) laboratory panels in our emergency departments (EDs). However, as described by Jialal and Sokoll,7 its traditional usefulness as a screening test has been largely supplanted by more sensitive and specific biomarkers such as troponin, liver enzymes and other diagnostic techniques. CPOE systems can aid in the provision of standardised, evidence-based care.8 Standardisation is particularly helpful in the fast-paced, high-stakes, hectic environment of the ED.8 9 CPOE has the advantage of facilitating forcing functions (FFs). FFs are processes built into a workflow that necessitate a certain action or outcome before subsequent actions can be performed.10 CPOE FFs have been shown to significantly influence test ordering in the ED.10 11 We embarked on a quality improvement initiative aimed to reduce unnecessary LDH testing in the ED by modifying CPOE laboratory panels.

Methods

This was a prospective, multisite quality improvement project carried out at two academic tertiary care EDs with a combined 112 000 annual visits. Both EDs belong to a larger institution and use the same CPOE system (EPR, QuadraMed Corporation, Herndon, Virginia, USA). CPOE blood panels were reviewed by the lead author and a clinical biochemist and identified panels containing LDH. Panels are grouped by presenting complaint or syndrome, which included ‘abdominal pain’, ‘toxicology’ and ‘trauma’. The proposed removal of LDH from these panels was discussed by the entire ED physician group via an online survey and discussion. There was unanimous agreement among this group in favour of removing LDH from these CPOE panels. The primary outcome was the ordering rate of LDH, with rates of complete blood count and creatinine as controls. We collected data between 30 April and 20 July 2017. The changes to the CPOE system were introduced on 22 June 2017. Preintervention and postintervention groups were compared with Student’s t-test. We also measured the rates of LDH add-ons to the lab (ie, when a provider adds an extra test to blood samples already received in the lab that was not ordered at the time of sending) as a surrogate to potential disruption to provider workflow and delays to patient care.

Results

The daily rates of ordering for the selected tests across both EDs are shown in figure 1 and table 1. The rate of LDH ordering was 75.1 tests per day prior to the intervention and dropped to 23.2 tests per day afterwards (69.1% relative reduction, P<0.00005). The rates for the controls did not change (table 1). Using run charts, it is shown that the intervention reduced the rate by more than 3 SD away from the preintervention mean, signifying special cause variation that was sustained (figure 2). In our analysis of add-on rates, there was an average of fewer than one instance per day. At our institution, it costs $1.76 Canadian dollars per LDH test run, translating to savings of $33 340.56 annually.
Figure 1

Combined daily ED utilisation of select blood tests. CPOE, computerised provider order entry; ED, emergency department.

Table 1

Combined average daily ordering rates for selected tests across both ED sites

TestPreintervention (tests/day)Postintervention (tests/day)P values
LDH75.123.2P<0.00005
CBC197.7196.1P=0.7663
Creatinine113.0110.9P=0.5661

CBC, complete blood count; ED, emergency department; LDH, lactate dehydrogenase.

Figure 2

Combined daily ED utilisation of serum LDH testing. CPOE, computerised provider order entry; ED, emergency department; LDH, lactate dehydrogenase.

Combined daily ED utilisation of select blood tests. CPOE, computerised provider order entry; ED, emergency department. Combined daily ED utilisation of serum LDH testing. CPOE, computerised provider order entry; ED, emergency department; LDH, lactate dehydrogenase. Combined average daily ordering rates for selected tests across both ED sites CBC, complete blood count; ED, emergency department; LDH, lactate dehydrogenase.

Discussion

This project highlights the double-edged sword of CPOE. While CPOE order sets reduce practice variation and improve adherence to guidelines, they can also have unintended negative consequences.12 13 For example, CPOE order sets may contribute to perceived loss of physician autonomy,9 increased patient length of stay9 and workflow disruption.14 Design and upkeep of CPOE systems require vigilance, given that design flaws can have far-reaching implications, including potential adverse events.15 16 Including LDH as a default order prompted wasteful, non-evidence-based test ordering practices. By eliminating LDH from standard panels, it required providers to actively choose to order LDH and subsequently produced a dramatic 69.1% reduction in testing. Physicians were surveyed postintervention, and they did not even notice its absence in the lab panels. Through this, we were able to eliminate waste, improve testing stewardship and cut costs with no apparent adverse effects. There was no change in the rates of the control groups, suggesting that the change is not attributable to other background effects or overall changes in provider behaviour.

Limitations

The limited scope of this project did not allow for a full assessment of unintended consequences, namely ED length of stay. We captured that there was less than one LDH test added on to bloodwork already sent to the lab daily, which we expect will not contribute substantially to ED length of stay or workflow disruption. Considering the immediate success of this intervention, there were no additional plan-do-study-act cycles performed in this project.
  15 in total

1.  Safe but sound: patient safety meets evidence-based medicine.

Authors:  Kaveh G Shojania; Bradford W Duncan; Kathryn M McDonald; Robert M Wachter
Journal:  JAMA       Date:  2002 Jul 24-31       Impact factor: 56.272

2.  Categorizing the unintended sociotechnical consequences of computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Richard H Dykstra; Kenneth Guappone; James D Carpenter; Veena Seshadri
Journal:  Int J Med Inform       Date:  2006-06-21       Impact factor: 4.046

3.  Forcing functions: the need for restraint.

Authors:  Ann M Bisantz; Robert L Wears
Journal:  Ann Emerg Med       Date:  2008-08-22       Impact factor: 5.721

4.  SGEM Hot Off the Press: Computer provider order entry (CPOE) and emergency department flow.

Authors:  Katie Lin; Kenneth Chan; Rohit Mohindra; Ken Milne; Brent Thoma; Chris Bond
Journal:  CJEM       Date:  2017-03       Impact factor: 2.410

Review 5.  The effect of computerized provider order entry systems on clinical care and work processes in emergency departments: a systematic review of the quantitative literature.

Authors:  Andrew Georgiou; Mirela Prgomet; Richard Paoloni; Nerida Creswick; Antonia Hordern; Scott Walter; Johanna Westbrook
Journal:  Ann Emerg Med       Date:  2013-03-30       Impact factor: 5.721

6.  Serum lactate dehydrogenase isoenzyme and total lactate dehydrogenase values in health and disease, and clinical evaluation of these tests by means of discriminant analysis.

Authors:  J H Glick
Journal:  Am J Clin Pathol       Date:  1969-09       Impact factor: 2.493

7.  Effectively reducing amylase testing using computer order entry in the emergency department: quality improvement without eliminating physician choice.

Authors:  Cassie Jaeger; Paul Sullivan; James Waymack; David Griffen Griffen
Journal:  J Innov Health Inform       Date:  2017-10-06

8.  Lactate Dehydrogenase: A Marker of the Severity of Vaso-Occlusive Crisis in Children with Sickle Cell Disease Presenting at the Emergency Department.

Authors:  Marina García-Morin; Carolina López-Sangüos; Paula Vázquez; Teresa Alvárez; Rafael Marañón; Jorge Huerta; Elena Cela
Journal:  Hemoglobin       Date:  2016-11       Impact factor: 0.849

9.  Serum enzyme determinations in the diagnosis and assessment of myocardial infarction.

Authors:  B E Sobel; W E Shell
Journal:  Circulation       Date:  1972-02       Impact factor: 29.690

Review 10.  Acute tumor lysis syndrome in patients with high-grade non-Hodgkin's lymphoma.

Authors:  K R Hande; G C Garrow
Journal:  Am J Med       Date:  1993-02       Impact factor: 4.965

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