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  Vol. 283 No. 21, June 7, 2000 TABLE OF CONTENTS
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A Clinical Decision Support System for Prevention of Venous Thromboembolism

Effect on Physician Behavior

Pierre Durieux, MD, MPH; Rémy Nizard, MD; Philippe Ravaud, MD, PhD; Nicolas Mounier, MD; Eric Lepage, MD, PhD

JAMA. 2000;283:2816-2821.

ABSTRACT

Context  Computer-based clinical decision support systems (CDSSs) have been promoted for their potential to improve quality of health care. However, given the limited range of clinical settings in which they have been tested, such systems must be evaluated rigorously before widespread introduction into clinical practice.

Objective  To determine whether presentation of venous thromboembolism prophylaxis guidelines using a CDSS increases the proportion of appropriate clinical practice decisions made.

Design  Time-series study conducted between December 1997 and July 1999.

Setting  Orthopedic surgery department of a teaching hospital in Paris, France.

Participants  A total of 1971 patients who underwent orthopedic surgery.

Intervention  A CDSS designed to provide immediate information pertaining to venous thromboembolism prevention among surgical patients was integrated into daily medical practice during three 10-week intervention periods, alternated with four 10-week control periods, with a 4-week washout between each period.

Main Outcome Measure  Proportion of appropriate prescriptions ordered for anticoagulation, according to preestablished clinical guidelines, during intervention vs control periods.

Results  Physicians complied with guidelines in 82.8% (95% confidence interval [CI], 77.6%-87.1%) of cases during control periods and in 94.9% (95% CI, 92.5%-96.6%) of cases during intervention periods. During each intervention period, the appropriateness of prescription increased significantly (P<.001). Each time the CDSS was removed, physician practice reverted to that observed before initiation of the intervention. The relative risk of inappropriate practice decisions during control periods vs intervention periods was 3.8 (95% CI, 2.7-5.4).

Conclusions  In our study, implementation of clinical guidelines for venous thromboembolism prophylaxis through a CDSS used routinely in an orthopedic surgery department and integrated into the hospital information system changed physician behavior and improved compliance with guidelines.



INTRODUCTION
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Computer-based clinical decision support systems (CDSSs) are defined as "any software designed to directly aid in clinical decision making in which characteristics of individual patients are matched to a computerized knowledge base for the purpose of generating patient-specific assessments or recommendations that are then presented to clinicians for consideration."1 Clinical decision support systems have been promoted for their potential to improve the quality of health care by supporting clinical decision making. In particular, it has been suggested that physicians have difficulties processing complex information2 and will improve their prescription practices in response to electronically delivered recommendations.3 However, given their rapid rate of development and the limited range of clinical settings in which they have been tested to date, it has been stressed that CDSSs should be rigorously evaluated before widespread introduction into clinical practice.1, 4

In clinical hospital practice, venous thromboembolism remains a serious problem and pulmonary embolism is a major cause of death.5 Fatal pulmonary embolism may occur in up to 1% of general surgery patients and 3% of orthopedic surgical patients who do not receive prophylaxis.6 The most efficient way to prevent both fatal and nonfatal venous thromboembolism is to use routine prophylaxis for moderate- to high-risk patients. Despite the publication of several clinical guidelines for venous thomboembolism prophylaxis in both Europe and North America6-9 as well as studies suggesting that prophylaxis remains underused, few studies aimed at improving prophylaxis practices have been performed.10-11 One probable reason is that optimal decisions about the use of anticoagulants in prevention of venous thromboembolism require access to a large amount of complex information to evaluate the degree of risk of hospitalized patients. We have developed a CDSS to implement clinical guidelines on venous thromboembolism prophylaxis in an orthopedic surgery department. In this study, we evaluated the effect of this system on physician behavior. We aimed to determine whether real-time presentation of venous thromboembolism prophylaxis guidelines through a CDSS increases the proportion of appropriate anticoagulant prescriptions ordered and whether this behavior change was extinguished after discontinuing use of the CDSS.


METHODS
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Study Site and Population

The study was conducted in the orthopedic surgery department of Lariboisière Hospital, a 1000-acute-bed teaching hospital of the Assistance Publique–Hôpitaux de Paris group (the Paris, France, metropolitan area public hospital network). About 2400 patients are hospitalized annually in this department. All surgeons (7 full-time, 7 part-time) working in the orthopedic surgery department were involved in the study. All orthopedic patients who underwent surgery in the department (from December 1997 to July 1999) were included in the study.

The Assistance Publique–Hôpitaux de Paris Institutional Review Board determined that, according to French policy, the study was exempt from review requirement and could be conducted without informed consent from patients.

Guideline and Software Development

Clinical guidelines for venous thromboembolism prophylaxis were developed at Assistance Publique–Hôpitaux de Paris.12-13 These local guidelines for general surgery, urologic surgery, gynecologic surgery, and orthopedic surgery were created by local hospital experts. In this study, assessment of guideline use with and without the CDSS was restricted to orthopedic surgery patients.

The risk of thromboembolism in a hospital patient depends on the planned surgical procedure (or the reason for admission) and on preexisting patient-related variables. Each of these factors has been classified in existing guidelines as low, moderate, or high risk.6-9 There is no published classification of risk that combines patient risk factors and surgical risk factors to obtain an overall risk of venous thromboembolism. However, taking into account both types of risk for a given patient is crucial in clinical practice. Thus, the local hospital expert group proposed a classification system in which, for each patient, the presence of patient risk factors and surgical risk factors are combined to classify patients as having a low, moderate, or high risk for venous thromboembolism. A prophylactic strategy is recommended for each level of risk. When the risk level is low, no medication is recommended; when the risk level is moderate, prescription of a low dosage of low-molecular-weight heparin is recommended; and when the risk level is high, prescription of a high dosage of low-molecular-weight heparin is recommended (Table 1).


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Table 1. Guidelines for Venous Thromboembolism Prophylaxis*


Our CDSS is an online computer application designed as a tool to provide clinicians with relevant, real-time information pertaining to venous thromboembolism prevention among surgical patients. This application is linked to the diagnosis related group–based information system that is implemented in all French hospitals. Patients' administrative and clinical data are collected by direct entry in admitting, operating room, and medical care units. These data are stored in a coded and integrated clinical patient database and are available for computer-assisted decision making.

The CDSS can be accessed through computer terminals available just outside each operating room. Following each surgical procedure, after entering an identification code, the physician enters data related to the clinical situation of the patient (age, sex, disease, surgical procedure, and preexisting patient and surgical risk factors of venous thromboembolism). The physician orders all treatments necessary for patient follow-up (eg, antibiotic therapy, pain management, immobilization), including venous thromboembolism prophylaxis, through the computer system. The computer system critiques the orders using data contained in the patient's database and guideline-based criteria stored in the system's knowledge base. If the computer detects a discrepancy between the prescription and the corresponding information in the database, the physician is immediately notified via a message on the computer screen suggesting the appropriate prescription and explaining the reasons. The physician can choose to maintain or change his/her order. At the end of the process, the patient follow-up and prescription information, including venous thromboembolism prophylaxis, is printed out and included in the patient's file.

Study Design

The study had an alternating time-series design, with three 10-week intervention periods, four 10-week control periods, and a 4-week washout between each period.

During intervention periods, physicians received a message from the CDSS if their prescriptions were not appropriate according to the guidelines. During control periods, physicians ordered all treatment related to thromboembolism prophylaxis through the computer system but received no critiquing messages from the CDSS.

Outcome Measures

To evaluate the effects of the CDSS, the proportion of venous prophylaxis prescriptions that was appropriate according to clinical guidelines was considered to be the main end point. This proportion was estimated based on the final prescription order for each patient compared with treatment designated by algorithms established prior to the study and derived from the guidelines. Each prescription could be classified as appropriate or not appropriate. A prescription was classified as not appropriate when no medication was ordered by the physician when the CDSS recommended prescription of low-molecular-weight heparin (type 1 error), when the wrong dosage of low-molecular-weight heparin was prescribed (type 2 error), or when a prescription of low-molecular-weight heparin was made when the CDSS proposed no medication (type 3 error).

The percentage of inappropriate initial prescriptions that were changed after advice was given by the CDSS during intervention periods was also calculated according to each level of risk of venous thromboembolism. We also recorded the number of pulmonary embolisms and deep vein thromboses diagnosed in the orthopedic department during the study period.

Statistical Analysis

Analysis included all eligible patients. Comparisons of clinical characteristics of patients during intervention and control periods were tested using the {chi}2 test and the t test where appropriate. The nominal significance level for the end points was .05 (2-sided formulation).

To evaluate the effect of the decision-making application on appropriateness of prescription, we first chose the patient as the unit of analysis because the patient experiences the care and generates the original data. Then we took into account as a unit of analysis the physician (eg, the sequence of prescriptions of 1 physician). We accounted for the potential nonindependence of patient observations of a physician resulting from clustering by using a logistic regression model for binary data with random effect. We assumed that only the intercept, not the decision-making application effect, varies among physicians. The decision-making application effect was tested using the logit of the probability of appropriateness as response, while the period (control vs intervention) was considered the explicative covariate. The intercept was regarded as a random effect and the period as a fixed effect. Model parameters were estimated using the iteratively reweighted restricted likelihood method and fixed effects were tested with the Fisher exact test (SAS GLIMIX macro).14 Mean probability of appropriateness of prescription according to study period was then generated by taking the exponential transformation of the logit.

All statistical analyses were performed using SAS version 6.12 computer software (SAS Institute Inc, Cary, NC).


RESULTS
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A total of 1971 patients were included in the study; 1112 during control periods and 859 during intervention periods. The computer system was used in 100% of patients who underwent surgery during the study period. Patient characteristics were comparable in the intervention and control periods, except for patient risk factors. There were more patients with no preexisting risk factors during the control periods than in the intervention periods (36.9% vs 31.5%; P=.04). However, distribution of venous thromboembolism risks were comparable in the 2 groups (Table 2). A total of 696 patients (35.3%) were at low risk of venous thromboembolism, 98 patients (5.0%) were at moderate risk, and 1177 patients (59.7%) were at high risk. During the study period, the mean number of patients per surgeon was 141 (range, 4-370). Five surgeons operated on fewer than 40 patients each and 8 surgeons operated on more than 100 patients.


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Table 2. Characteristics of Patients Enrolled During Control and Intervention Periods


Physicians complied with guidelines in 82.8% (95% confidence interval [CI], 77.6%-87.1%) of cases during control periods and in 94.9% (95% CI, 92.5%-96.6%) of cases during intervention periods. Logistic regression analysis, performed using the physician as the unit of analysis, demonstrated a significant physician effect (P<.001) and a significant difference between the 2 study periods on appropriateness of prescription (P<.001). The relative risk of inappropriateness was 3.8 (95% CI, 2.7-5.4) for control periods vs intervention periods, equivalent to a 73% reduction in risk of inappropriate prescription.

Results according to period are shown in Figure 1. During each intervention period, the proportion of appropriate prescriptions ordered increased significantly. Each time the CDSS was removed, physician compliance with guidelines reverted to that observed before initiation of the intervention.



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Figure. Appropriateness of Prescription by Study Period

For intervention periods, data are percentages of appropriate prescriptions ordered after opportunity to correct initial decision. See "Study Design" for a description of the study periods.


Results according to venous thromboembolism risk are shown in Table 3. A total of 191 prescriptions (17.2%) were judged inappropriate by the CDSS during control periods and 113 prescriptions (13.2%) were judged inappropriate during intervention periods. Among these 113 prescriptions, 69 (61.1%) were modified by the physician according to the recommendation of the CDSS and 44 (38.9%) remained unchanged. Overall, the effect of the CDSS was greatest for patients at moderate risk of venous thromboembolism. In this group, 18(81.8%) of 22 inappropriate prescriptions were changed after advice given by the CDSS. The CDSS appeared to have less effect for patients at high risk of venous thromboembolism. In this group, 24 (51.1%) of 47 inappropriate prescriptions were changed.


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Table 3. Appropriate and Inappropriate Prescriptions According to Venous Thromboembolism Risk During Intervention and Control Periods*


Table 4 presents the number of errors by type for the 191 inappropriate prescriptions ordered during the control periods and the 44 inappropriate prescriptions that were not changed during the intervention periods. The system did not allow for analysis of the 69 initial prescriptions that were changed according to the recommendation. During intervention periods, the error rate decreased by 86% for type 1 errors, by 59% for type 2 errors, and by 66% for type 3 errors.


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Table 4. Inappropriate Prescriptions by Type of Error*


The CDSS improved the clinical practice of all physicians except 1 whose proportion of appropriate prescriptions was close to 100% during control periods. The greatest improvement was observed among the 5 surgeons who operated on fewer than 40 patients.

One pulmonary embolism and 2 deep vein thromboses were diagnosed during control periods. No pulmonary embolisms and 2 deep vein thromboses were diagnosed during intervention periods.


COMMENT
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Our study showed that implementation of clinical guidelines for venous thromboembolism prophylaxis through a CDSS in an orthopedic surgery department significantly changed physician behavior and improved compliance with guidelines. The improvement was greater for patients at moderate risk of venous thromboembolism than for patients at high risk of venous thromboembolism where practices were already appropriate for more than 90% of patients before any intervention. In patients with elective hip surgery and hip fractures, drug regimens including subcutaneous heparin and low-molecular-weight heparin have been proven effective in prevention of deep vein thrombosis6-8 and this strategy is well accepted by French surgeons. However, the moderate risk constitutes a gray zone of uncertainties and is more difficult to define. Physicians may also have difficulty remembering the guidelines for this category involving relatively few patients (5% of the total). This explains the dramatic effect of the CDSS on physician behavior concerning this subgroup of patients during intervention periods. For the same group, the percentage of appropriate initial prescriptions (before advice was given by the CDSS) was much more important during intervention periods (45%) than during control periods (5.7%). Due to a Hawthorne effect, the physicians involved in the study were probably more watchful when the CDSS was in use than when it was not in use. This was an indirect effect of the CDSS.

The CDSS reduced all types of errors but its input seemed to be particularly important for type 1 errors (failure to order a medication when prophylaxis was recommended).

Our study contributes several important considerations to the understanding of the potential role of CDSSs in clinical guideline implementation. First, this study confirms that use of a CDSS at the time of prescription constitutes an effective guideline implementation strategy.15-18 A significant effect on physician behavior was observed despite a high baseline compliance to guidelines (84.1%) before intervention. In 2 recent studies performed in surgical and medical-surgical patients, 86% and 85%, respectively, received venous thromboembolism prophylaxis before any intervention.10, 19

The CDSS was able to maintain a sustained effect of guidelines for a relatively long period. Failure to do so constitutes a major weakness of most guideline implementation strategies, including paper reminders.20-21 The guidelines can also be easily updated on the CDSS, which facilitates the implementation over time of up-to-date guidelines.15-16

The CDSS was integrated into the daily practice of physicians. Thus, all consecutive patients who underwent surgery during the study period were included in the study. Since the computer system was used as a data collection tool, it was easy to evaluate the effect of the system.

Second, when we designed the CDSS, we chose to establish a critiquing system rather than a reminding system. Such critiquing systems, which advise clinicians about what should be done after a prescription contrary to guidelines has been ordered, have been commonly applied.22 A simple reminder system that notifies clinicians before prescription of tasks that should be done probably can be disregarded more easily by the clinician. A critiquing system can also be used on a routine basis to calculate physician deviation rates before intervention, thus facilitating efforts toward continuous quality improvement.23

Third, some investigators have considered that reminding or alerting clinicians about what constitutes appropriate practice is a continuing medical education strategy.24 The rate of reversion of compliance to guidelines to baseline values during each control period, even after 15 months, showed that a CDSS cannot be considered an educational tool or that education alone is unable to sustain substantial changes in physician practice as has been suggested previously.25-26

Our study had several limitations. The clinical guidelines, particularly the combination of patient- and surgery-related risk factors used to generate venous thromboembolism risk, were developed locally and may not be acceptable to other groups of physicians. The CDSS was implemented in 1 department of 1 hospital and, therefore, the applicability of our results to other settings is unknown. Another limitation is that we evaluated the effect of implementing a CDSS on process, not on patient outcomes. The number of pulmonary embolisms and deep vein thromboses diagnosed among patients during their hospital stay is insufficient to evaluate patient outcomes since a thromboembolism event can occur after discharge. However, the aim of the CDSS was to increase the appropriateness of prophylaxis, not to demonstrate a relationship between prophylaxis and thromboembolism. In addition, there is no noninvasive, accurate, and inexpensive diagnostic test to identify patients with deep vein thrombosis.27 The difficulties in interpreting outcomes are widely recognized.28 Numerous authors now consider it better to evaluate process rather than outcomes when assessing quality of care.29-31 Outcomes have multiple determinants and it is impossible to know what proportion of a given health outcome is determined by quality factors (ie, processes and structure of care) and what proportion is due to patient-related risk factors.32 Interpretation of health outcomes is hampered by the problem of case-mix.28 Statistical analyses require an adequate number of outcomes for the results to be meaningful.29, 32 Conversely, the use of process measures can identify specific shortcomings (eg, proportion of inappropriate prescriptions) and point toward what needs to be changed.28

Clinical decision support systems have been successfully implemented for preventive care, drug dosing, and management of diseases.1 Our study shows that implementation of clinical guidelines for venous thromboembolism prophylaxis through a CDSS used routinely in an orthopedic surgery ward and integrated into a computerized hospital information system significantly changed physician behavior and improved compliance with guidelines. This system, integrated in the daily practice of physicians, appeared to constitute a way to obtain a sustained effect of clinical guidelines. Given the limited range of clinical settings and health systems in which CDSSs have been tested, it is important to evaluate such systems on physician behavior.


AUTHOR INFORMATION
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Funding/Support: This study was supported by the Direction des Hôpitaux, Ministère de l'Emploi et de la Solidarité (Projets Hospitaliers de Recherche Clinique, Délégation à la Recherche Clinique d'Ile de France grant AOM 95-239).

Acknowledgment: We thank Cédric Belliot for data management, the physicians at the Department of Orthopedics of Lariboisière Hospital, and Laurent Sedel, MD, head of the department. We especially thank Michael Fine, MD, University of Pittsburgh, Pittsburgh, Pa, for comments during preparation of the manuscript. We also acknowledge the contribution of the physicians who participated in the development of the clinical guidelines, particularly Yves Chapuis, MD (Cochin Hospital, Paris, France), president of the expert group, Meyer Samama, MD (Hôtel Dieu, Paris, France), and Marc Samama, MD (Pitié-Salpétrière Hospital, Paris, France).

Reprints not available from the author.

Corresponding Author: Pierre Durieux, MD, MPH, Santé Publique, Faculté de Médecine Broussais Hôtel Dieu, 15 rue de l'Ecole de Médecine, 75006 Paris, France (e-mail: pierre.durieux{at}egp.ap-hop-paris.fr).

Author Affiliations: Department of Public Health, Faculté de Médecine Broussais Hôtel Dieu (Dr Durieux), Department of Orthopedics, Lariboisière Hospital, Assistance Publique–Hôpitaux de Paris (Dr Nizard), Epidemiology Unit, Bichat Hospital, Assistance Publique–Hôpitaux de Paris (Dr Ravaud), Paris, France; and the Department of Biostatistics and Medical Informatics, Henri Mondor Hospital, Assistance Publique–Hôpitaux de Paris, Créteil, France (Drs Mounier and Lepage).


REFERENCES
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J. Am. Med. Inform. Assoc. 2005;12:474-480.
ABSTRACT | FULL TEXT  

Electronic Alerts to Prevent Venous Thromboembolism among Hospitalized Patients
Kucher et al.
NEJM 2005;352:969-977.
ABSTRACT | FULL TEXT  

Specialist Nurse-Led Clinics to Improve Control of Hypertension and Hyperlipidemia in Diabetes: Economic analysis of the SPLINT trial
Mason et al.
Diabetes Care 2005;28:40-46.
ABSTRACT | FULL TEXT  

A systematic review of computer-based patient record systems and quality of care: more randomized clinical trials or a broader approach?
Delpierre et al.
Int J Qual Health Care 2004;16:407-416.
ABSTRACT | FULL TEXT  

Impact of Prescribing Guidelines for Inpatient Anticoagulation
Schumock et al.
The Annals of Pharmacotherapy 2004;38:1570-1575.
ABSTRACT | FULL TEXT  

Antithrombotic and Thrombolytic Therapy: From Evidence to Application: The Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy
Schunemann et al.
Chest 2004;126:688S-696S.
ABSTRACT | FULL TEXT  

Computerized Reminders Reduce the Use of Medications during Shortages
Bogucki et al.
J. Am. Med. Inform. Assoc. 2004;11:278-280.
ABSTRACT | FULL TEXT  

Pulmonary Embolism After Coronary Artery Bypass Grafting
Goldhaber and Schoepf
Circulation 2004;109:2712-2715.
FULL TEXT  

Acute Pulmonary Embolism: Part II: Risk Stratification, Treatment, and Prevention
Goldhaber and Elliott
Circulation 2003;108:2834-2838.
FULL TEXT  

Prevention of Venous Thromboembolism in the ICU
Geerts and Selby
Chest 2003;124 :357S-363S.
ABSTRACT | FULL TEXT  

Value for money of changing healthcare services? Economic evaluation of quality improvement
Severens
Qual Saf Health Care 2003;12:366-371.
ABSTRACT | FULL TEXT  

Integrating Medical Informatics and Health Services Research: The Need for Dual Training at the Clinical Health Systems and Policy Levels
Mandl and Lee
J. Am. Med. Inform. Assoc. 2002;9:127-132.
ABSTRACT | FULL TEXT  

When Is It Cost-effective to Change the Behavior of Health Professionals?
Mason et al.
JAMA 2001;286:2988-2992.
ABSTRACT | FULL TEXT  

Evidence-Based Medicine in Anesthesiology
Pronovost et al.
Anesth. Analg. 2001;92:787-794.
FULL TEXT  

A Randomized Controlled Trial of Point-of-Care Evidence to Improve the Antibiotic Prescribing Practices for Otitis Media in Children
Christakis et al.
Pediatrics 2001;107:15e-15.
ABSTRACT | FULL TEXT  

Prevention of Venous Thromboembolism
Geerts et al.
Chest 2001;119 :132S-175S.
FULL TEXT  





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