# Multifaceted Intervention to Prevent Venous Thromboembolism in Patients Hospitalized for Acute Medical Illness: A Multicenter Cluster-Randomized Trial

Pierre-Marie Roy, Antoine Rachas, Guy Meyer, Grégoire Le Gal, Pierre Durieux, Didier Honnart, Jeannot Schmidt, Catherine Legall, Pierre Hausfater, Jean-Marie Chrétien, et al.

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Pierre-Marie Roy, Antoine Rachas, Guy Meyer, Grégoire Le Gal, Pierre Durieux, et al. Multifaceted Intervention to Prevent Venous Thromboembolism in Patients Hospitalized for Acute Medical Illness: A Multicenter Cluster-Randomized Trial. PLoS ONE, 2016, 10.1371/journal.pone.0154832. hal-01326508

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RESEARCH ARTICLE

# Multifaceted Intervention to Prevent Venous Thromboembolism in Patients Hospitalized for Acute Medical Illness: A Multicenter Cluster-Randomized Trial

Pierre-Marie Roy¹*, Antoine Rachas²,³, Guy Meyer³, Grégoire Le Gal⁴,⁵, Pierre Durieux⁵, Dominique El Kouri⁶, Didier Honnart⁷, Jeannot Schmidt⁸, Catherine Legall⁹, Pierre Hausfater¹⁰, Jean-Marie Chrétien¹¹, Dominique Mottier¹², PREVENU study group¹¹

1. Département de Médecine d'Urgence, Centre Vasculaire et de la Coagulation, CHU Angers, Institut MITOVASC, EA3860, Université d'Angers, Angers, France
2. Unité d'Épidémiologie et de Recherche Clinique, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Centre d'investigation Épidémiologique 4, INSERM, Paris, France
3. Service de Pneumologie et Soins Intensifs, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, INSERM U 970, CIC 1418, Paris, France
4. Département de Médecine Interne et Pneumologie, CHU de la Cavale Blanche, Université de Bretagne Occidentale, EA3878 (GETBO), CIC INSERM 1412, Brest, France
5. Département de Santé Publique et Informatique Médicale, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Université Paris Descartes, Sorbonne Paris Cité, INSERM UMRS 872, Centre de recherche des Cordeliers, Paris, France
6. Service des Urgences, Médecine Polyvalente, CHU Hôtel Dieu, Nantes, France
7. Département de Médecine d'Urgence, CHU Dijon, Hôpital du Bocage, Dijon, France
8. Service d'Accueil des Urgences, CHU Gabriel Montpied, Université de Clermont-Ferrand, Clermont-Ferrand, France
9. Service des Urgences, CH Argenteuil Victor Dupouy, Argenteuil, France
10. Service des Urgences, CHU La Pitié Salpétrière, Assistance Publique Hôpitaux de Paris, Université Paris 06 UPMC, Paris, France
11. Délégation à la recherche clinique et innovation, cellule de gestion des données et évaluation, CHU Angers, Angers, France
12. Département de Médecine Interne et Pneumologie, CHU de la Cavale Blanche, Université de Bretagne Occidentale, EA3878 (GETBO), CIC INSERM 1412, Brest, France

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OPEN ACCESS

**Citation:** Roy P-M, Rachas A, Meyer G, Le Gal G, Durieux P, El Kouri D, et al. (2016) Multifaceted Intervention to Prevent Venous Thromboembolism in Patients Hospitalized for Acute Medical Illness: A Multicenter Cluster-Randomized Trial. PLoS ONE 11 (5): e0154832. doi:10.1371/journal.pone.0154832

**Editor:** Hugo ten Cate, Maastricht University Medical Center, NETHERLANDS

**Received:** November 28, 2015

**Accepted:** April 20, 2016

**Published:** May 26, 2016

**Copyright:** © 2016 Roy et al. This is an open access article distributed under the terms of the [Creative Commons Attribution License](http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

**Data Availability Statement:** We confirm that the data necessary to replicate our findings is contained within the manuscript and its supporting information files.

**Funding:** The study was supported by two grants from the French Ministry of Health (PHRC 2008 and 2011: 21-09) and received further financial aid from Bayer HealthCare SAS, France and Sanofi SAS, France. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

## Abstract

### Background

Misuse of thromboprophylaxis may increase preventable complications for hospitalized medical patients.

### Objectives

To assess the net clinical benefit of a multifaceted intervention in emergency wards (educational lectures, posters, pocket cards, computerized clinical decision support systems and, where feasible, electronic reminders) for the prevention of venous thromboembolism.

<footnote>a. Current address: Santé Publique-Epidémiologie, Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris, Le Kremlin-Bicêtre, France</footnote>

<footnote>b. Current address: Department of Medicine, Division of Haematology—Thrombosis Program, Ottawa Hospital Research Institute and University of Ottawa, Ottawa, Canada</footnote>

<footnote>c. Membership of the PREVENU study group is provided in the Acknowledgments.</footnote>

<footnote>PMRoy@chu-angers.fr</footnote>
**Competing Interests:** The authors declare having received research grant support from Bayer HealthCare SAS, France and Sanofi SAS, France to perform this study. They declare to have no other support from any organisation for the submitted work; no other financial relationships with any organisations that might have an interest in the submitted work in the previous three years, no other relationships or activities that could appear to have influenced the submitted work. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

## Patients/Methods

Prospective cluster-randomized trial in 27 hospitals. After a pre-intervention period, centers were randomized as either intervention (n = 13) or control (n = 14). All patients over 40 years old, admitted to the emergency room, and hospitalized in a medical ward were included, totaling 1,402 (712 intervention and 690 control) and 15,351 (8,359 intervention and 6,992 control) in the pre-intervention and intervention periods, respectively.

## Results

Symptomatic venous thromboembolism or major bleeding (primary outcome) occurred at 3 months in 3.1% and 3.2% of patients in the intervention and control groups, respectively (adjusted odds ratio: 1.02 [95% confidence interval: 0.78–1.34]). The rates of thromboembolism (1.9% vs. 1.9%), major bleedings (1.2% vs. 1.3%), and mortality (11.3% vs. 11.1%) did not differ between the groups. Between the pre-intervention and intervention periods, the proportion of patients who received prophylactic anticoagulant treatment more steeply increased in the intervention group (from 35.0% to 48.2%: +13.2%) than the control (40.7% to 44.1%: +3.4%), while the rate of adequate thromboprophylaxis remained stable in both groups (52.4% to 50.9%: -1.5%; 49.1% to 48.8%: -0.3%).

## Conclusions

Our intervention neither improved adequate prophylaxis nor reduced the rates of clinical events. New strategies are required to improve thromboembolism prevention for hospitalized medical patients.

## Trial Registration

ClinicalTrials.gov NCT01212393

## Introduction

Hospitalization for acute medical illness is a significant risk factor of venous thromboembolism (VTE), accounting for up to 20% of all VTEs and 80% of in-hospital fatal cases of pulmonary embolism.[1–3] Pharmacological regimens have been shown to reduce thromboembolic events [4, 5] and for over a decade, consensus guidelines have recommended thromboprophylaxis for high-risk medical patients.

Yet prophylaxis appears to be used inappropriately and often underused for hospitalized medical patients.[6, 7] As system-wide standardized interventions may be more effective than relying on individual physicians’ routine practices, the American College of Chest Physicians has recommended “for every hospital, that a formal active strategy addressing the prevention of VTE be developed”.[5] A recent meta-analysis has suggested that alerts or multifaceted interventions increase prophylaxis prescription, although how this finding applies to a VTE or bleeding setting remains unknown, given that most studies are underpowered to assess these outcomes.[8]

We hypothesized that a multifaceted intervention for VTE guidelines implementation in emergency departments should improve prophylaxis use for patients hospitalized in medical wards and decrease the rate of VTE or major bleedings.
# Methods

## Design

We performed a multicenter prospective controlled cluster-randomized trial in community and academic hospitals.

## Centers

Hospitals were eligible for participation if the annual number of visits in their emergency department was >30,000.

## Patients

We prospectively enrolled all consecutive patients over 40 years old presenting to the emergency department of the participating sites for acute medical illness and requiring hospitalization in a medical ward.

Patients were excluded from analysis if they were hospitalized for less than 48 hours, if venous thrombosis or pulmonary embolism was diagnosed within 48 hours following admission (in order to rule out any VTE that had occurred before hospital admission), and if they received anticoagulant treatment at a therapeutic dosage for another reason than acute VTE at the admission and/or during hospitalization.

## Pre-intervention period

All included emergency departments participated in a 1-week observational pre-intervention period. During this period, while information was collected on thromboprophylaxis use, patients were not followed-up for 3 months. This pre-intervention period was aimed at obtaining baseline values for comparison with the intervention period.

## Intervention period

A random number table was used to assign hospitals to either the intervention or standard practice group (control group). Randomization was stratified in order to include the same number of academic hospitals and centers using a computerized medical file in each group.

## Implementation of recommendations in the intervention group

The intervention was multifaceted, based on educational lectures, posters, and pocket cards, computerized clinical decision support systems, and computerized reminders (S1 and S2 Posters).

Emergency physicians and residents attended a lecture that presented the guidelines for thromboprophylaxis use in acutely ill medical patients.[5, 9] In summary, thromboprophylactic treatment was recommended for high-risk patients, i.e. patients confined to bed presenting with an acute medical condition associated with a high risk of VTE, and patients presenting with an acute medical condition associated with an intermediate risk of VTE and, at least, one VTE risk factor (Table 1). In patients for whom prophylaxis was recommended but with contraindication to antithrombotic treatment, a mechanical prophylaxis method was recommended, namely by means of compression stockings or intermittent pneumatic compression devices. The key objectives were to systematically evaluate the risk of thrombosis and to prescribe and initiate venous thromboembolism prophylaxis as soon as possible in those at high risk (Table 1).
<table><caption>Table 1. Definition of high-risk patients and recommendations of thromboprophylactic treatment.</caption><thead><tr><th colspan="2">High risk of venous thromboembolism (VTE) acute medical condition*</th></tr></thead><tbody><tr><td colspan="2">Congestive heart failure (New York Heart Association class III or IV)</td></tr><tr><td colspan="2">Acute respiratory failure</td></tr><tr><td colspan="2">Recent ischemic stroke or neurological injury with lower extremity weakness (&lt; 30 days)</td></tr><tr><td colspan="2">Recent myocardial infarct or acute coronary syndrome (&lt; 30 days)</td></tr><tr><th colspan="2">Intermediate risk of VTE acute medical condition § and VTE risk factor(s) †</th></tr><tr><td>Sepsis</td><td>Age ≥ 75 years</td></tr><tr><td>Acute rheumatic disorder</td><td>Previous VTE</td></tr><tr><td>Acute inflammatory disease</td><td>Active cancer</td></tr><tr><td></td><td>Obesity (body mass index ≥ 30)</td></tr><tr><td></td><td>Varicose veins</td></tr><tr><td></td><td>Hormone therapy (anti-androgen or estrogen)</td></tr><tr><td></td><td>Chronic heart or respiratory failure</td></tr><tr><td></td><td>Pregnancy or recent post-partum (&lt; 30 days)</td></tr></tbody></table>

Thromboprophylaxis was recommended for the following patients confined to bed:

i) Patients with a high risk of venous thromboembolism acute medical condition *

ii) Patients with an intermediate risk of VTE acute medical condition §, if they had at least one additional VTE risk factor †

doi:10.1371/journal.pone.0154832.t001

The indications for thromboprophylaxis in hospitalized medical patients were summarized on posters and pocket cards. The list of antithrombotic treatments approved for this indication and their recommended doses were also provided.[5, 9]

A computer-based clinical decision support system was developed and installed on the emergency departments' computers in the intervention group. According to patient diagnosis and comorbidities, this system provided information on whether or not thromboprophylaxis was recommended, and, should this be the case, indicated the adequate treatment and doses.

In the emergency wards with access to computerized medical files, we planned to implement a software program which would systematically remind the consulting physician to assess thrombosis risk and start prophylaxis in patients hospitalized in a medical setting.

The intervention period lasted for 8 to 10 weeks.

## Control group

No intervention was performed in the centers allocated to the control group. The principal investigators were instructed to continue their practice as usual.

## Clinical outcomes

The primary outcome was defined at the patient level as a composite endpoint comprising of symptomatic VTE events and major bleedings during the three months following hospital admission. VTE events, major bleedings, and all-cause mortality during the 3 months following admission and during hospitalization were secondary outcomes.

VTE was defined as one of the following events: i) deep vein thrombosis, ii) pulmonary embolism, and iii) sudden death with no obvious cause (possible fatal pulmonary embolism). The VTE events had to be symptomatic and confirmed by objective tests.[10, 11] Major bleeding was defined according to the International Society on Thrombosis and Haemostasis' criteria (any bleeding resulting in death, in a critical organ or resulting in the transfusion of at least
two packs of blood red cells).[12] For patients who experienced several events, i.e. of venous thromboembolism and/or major bleedings, only the first was taken into account.

An independent adjudication committee, blinded to the group allocation, performed a chart review and analyzed all suspected outcome events.

## Prophylaxis adequacy

An adequacy assessment was performed, which was blinded to group assignment and mostly automated, based on several criteria:

* Patient's risk of VTE (high-risk or low-risk) according to the main reason for admission and VTE risk factors (Table 1)

* Delay between admission and treatment initiation (< 5 days)

* Duration of anticoagulation (at least 5 days or until discharge)

* Eventual contraindication for anticoagulant treatment, especially bleeding

* Dosage of anticoagulant treatment according to recommendations.

Thromboprophylaxis was considered as adequate if: i) for high-risk patients with thrombo-prophylaxis recommended as per the guidelines, antithrombotic treatment was initiated before Day 5 and administered at the correct dosage for at least 5 days or ii) for low-risk patients with no indication or those with contra-indication for anticoagulant treatment, antithrombotic treatment was not administered [5, 9]. Mechanical thromboprophylaxis was not assessed.

As thromboembolism could occur very early after admission [3] and in order to assess the rate of thromboprophylactic treatment prescribed by the emergency physicians, we performed a sensitivity analysis considered as adequate for high-risk patients, antithrombotic treatment initiated within the first 2 days following admission.

## Sample size

With the study design assuming 30 participating centers divided into two groups of 15, an intra-cluster correlation of 0.01, a 5% combined rate of VTE or major bleedings in the control group, a total of 16,170 patients with 8,085 in each group were required to detect a 1.5 percentage absolute difference between the two groups, with 3.5% in the intervention group, at a power of 80% and significance level of 5%.[13]

Considering that approximately 15% of patients would be hospitalized for less than 48 hours and 5% would be lost to follow-up, we planned to enroll a total of 20,000 patients.

## Statistical analysis

The statistical analysis plan was defined following closure of the database, prior to any statistical analysis (S1 Statistical analysis plan). The statistician was blinded to the randomization group and center names. We estimated the odds ratio in mixed-effects logistic regression, adjusting for significant patient- and center-level confounders and taking into account the dependence between patients from the same hospital, also known as the clustering effect.[14]

Subgroup analyses were conducted for age (≤ or >75 years old) and according to whether or not a treatment was recommended. Sensitivity analyses were conducted using other definitions of the primary endpoint, not considering unexplained sudden deaths, such as venous thromboembolism events, and considering all unexplained deaths as venous thromboembolism events.
The change in practice adequacy was compared between the pre-intervention and interven-
tion periods by using a mixed-effects logistic regression model, including study group, study
period, and a term for the group-by-period interaction, adjusting for significant confounders.
Adjusted absolute differences from the marginal predictions of probabilities in the two groups
were derived from the logistic equation. P-values and 95% confidence intervals (95% CIs) were
computed by using the standard errors estimated with the delta method. In order to compare
our results to others, we performed a post-hoc analysis of the rate of thromboprophylactic
treatment regardless of adequacy to recommendations.

We estimated intra-class correlation by using the Murray formula.[15] All statistical analyses
were performed using the STATA software (release 11; Stata Corp., College Station, Texas, USA).

Ethics

The Ethics Committee of Angers University Hospital approved this study for all centers. The study was registered and approved by the French competent authorities on June 04, 2009 prior to perform the first inclusion (n°: 09-256). French regulations consider randomized cluster tri- als aiming to improve the implementation of good practice recommendations as non-interven- tional trials and do not require written consent from participants. However, we sought oral consent from patients for follow-up and informed all patients of their right to request the with- withdrawal of their personal data. The study was also registered at the international registry of clini- cal trials on September 29, 2010 (ClinicalTrials.gov Identifier: NCT01212393).

Results

Clusters

In total, 40 hospitals were screened for eligibility, six refused participation, and seven could not participate for logistical reasons (Fig 1). The 27 participating centers were all located through- out France and included 20 academic and seven community hospitals. All completed the study between November 2009 for the first center and November 2010 for the last center.

At the end of the pre-intervention period, the centers were randomized into the intervention
group (n = 13) or control group (n = 14). Ten centers were academic hospitals and seven cen-
ters used computerized medical files, in each group.

In each of the intervention group centers, educational lectures were organized and posters,
pocket cards, and a downloadable computerized clinical decision support system were pro-
vided. However, for technical and administrative reasons, computerized reminders could be
implemented in only two centers.

Patients

A total of 20,377 patients were enrolled, 1,686 in the pre-intervention period and 18,691 in the intervention period. Of these, 284 (16.8%) and 3,340 patients (17.9%) were secondarily excluded primarily due to early discharge, in the pre-intervention and intervention periods, respectively, leaving 1,402 (712 in the intervention group and 690 in the control group) and 15,351 (8,359 intervention and 6,992 control) patients in each period, respectively. The rate of patients lost to follow-up was 3.9%, resulting in a total of 14,760 patients analyzed for the primary outcome, composed of 8,068 in the intervention group and 6,692 in the control group (Fig 1).

All data regarding demographic characteristics, past medical history and co-morbidities,
medication on admission, main acute medical condition (principal reason for hospitalization),
procedures performed during hospitalization, and length of hospital stay has been provided in
Table 2 and S1 Table.
<figure><img src="image_4.png" /><figcaption>Fig 1. Flow chart.</figcaption></figure>

doi:10.1371/journal.pone.0154832.g001
## Primary and secondary clinical outcomes

The primary outcome occurred in 250 of 8,359 patients (3.1%) in the intervention group and in 214 of 6,992 (3.2%) in the control group (adjusted odds ratio: 1.02; 95% CI: 0.78–1.34; p = 0.87) (Table 3). Thromboembolic events (1.9% vs. 1.9%), major bleedings (1.2% vs. 1.3%), and all-cause mortality (11.3% vs. 11.1%) did not differ between the groups at three months.

There was no difference regarding thromboembolic events or major bleedings between the two arms in patients aged ≤75 years or >75 years, nor between those with or without an indication for prophylaxis. The use of different definitions of VTE did not change the results. The in-hospital event rates did not differ between the groups (S2, S3 and S4 Tables).

## Prophylactic practice outcomes

During the pre-intervention period, the rate of adequate thromboprophylaxis practice was 52.4% in the intervention group and 49.1% in the control group. During the intervention

<table><caption>Table 2. Characteristics of the study population.</caption><thead><tr><th rowspan="3"></th><th colspan="4">Intervention group</th><th colspan="2">Control group</th></tr><tr><th colspan="2">Period</th><th colspan="2">Period</th></tr><tr><th>Pre-intervention<br>N = 712</th><th>Intervention<br>N = 8359</th><th>Pre-intervention<br>N = 690</th><th>Intervention<br>N = 6992</th><th></th><th></th></tr></thead><tbody><tr><td><strong>Demographic characteristics</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Median age—y (IQR)</td><td>73 (58–83)</td><td>74 (59–83)</td><td>72 (59–81)</td><td>73 (58–82)</td><td></td><td></td></tr><tr><td>Male—n (%)</td><td>361 (50.7)</td><td>4136 (49.5)</td><td>352 (51.0)</td><td>3536 (50.6)</td><td></td><td></td></tr><tr><td><strong>Patient history & co-morbidities</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Previous thromboembolism—n (%)</td><td>38 (5.3)</td><td>487 (5.8)</td><td>45 (6.5)</td><td>448 (6.4)</td><td></td><td></td></tr><tr><td>Chronic respiratory disease—n (%)</td><td>112 (15.8)</td><td>1335 (16.0)</td><td>115 (16.7)</td><td>1226 (17.6)</td><td></td><td></td></tr><tr><td>Congestive heart failure—n (%)</td><td>66 (9.3)</td><td>849 (10.2)</td><td>87 (12.6)</td><td>1038 (14.9)</td><td></td><td></td></tr><tr><td>Chronic inflammatory disease—n (%)</td><td>33 (4.7)</td><td>293 (3.5)</td><td>32 (4.7)</td><td>263 (3.8)</td><td></td><td></td></tr><tr><td>Active malignant condition—n (%)</td><td>111 (15.6)</td><td>1219 (14.6)</td><td>95 (13.8)</td><td>1021 (14.6)</td><td></td><td></td></tr><tr><td>Surgery within 1 month—n (%)</td><td>13 (1.8)</td><td>176 (2.1)</td><td>20 (2.9)</td><td>113 (1.6)</td><td></td><td></td></tr><tr><td>Hospitalization within 1 month—no. (%)</td><td>69 (9.7)</td><td>753 (9.0)</td><td>76 (11.0)</td><td>676 (9.7)</td><td></td><td></td></tr><tr><td><strong>Renal function at admission</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Median creatinin—µmol/l (IQR)</td><td>80 (63–105)</td><td>78 (64–103)</td><td>88 (69–117)</td><td>86 (69–113)</td><td></td><td></td></tr><tr><td>Creatinin clearance* < 30ml/min—n (%)</td><td>55 (8.3)</td><td>478 (7.2)</td><td>53 (7.0)</td><td>565 (8.9)</td><td></td><td></td></tr><tr><td><strong>Main acute medical condition</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>With high risk of thromboembolic event **—n (%)</td><td>208 (29.3)</td><td>2555 (30.7)</td><td>197 (28.7)</td><td>2292 (33.0)</td><td></td><td></td></tr><tr><td>With intermediate risk** —n (%)</td><td>172 (24.2)</td><td>2382 (28.7)</td><td>188 (27.4)</td><td>1916 (27.5)</td><td></td><td></td></tr><tr><td>With low risk** —n (%)</td><td>302 (42.5)</td><td>3037 (36.5)</td><td>276 (40.2)</td><td>2437 (35.0)</td><td></td><td></td></tr><tr><td>Acute or recent bleeding—n (%)</td><td>28 (3.9)</td><td>336 (4.0)</td><td>25 (3.6)</td><td>310 (4.5)</td><td></td><td></td></tr><tr><td><strong>Procedures during hospitalization</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Surgery (general or regional anesthesia)—n (%)</td><td>15 (2.1)</td><td>253 (3.4)</td><td>36 (5.2)</td><td>320 (4.6)</td><td></td><td></td></tr><tr><td>Indwelling central venous catheter—n (%)</td><td>9 (1.3)</td><td>73 (0.9)</td><td>12 (1.7)</td><td>90 (1.3)</td><td></td><td></td></tr><tr><td><strong>Duration of hospitalization</strong></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Median—days (IQR)</td><td>7 (4–12)</td><td>7 (4–13)</td><td>8 (4–14)</td><td>8 (4–14)</td><td></td><td></td></tr><tr><td>&gt;14 days—n (%)</td><td>131 (18.4)</td><td>1644 (19.7)</td><td>166 (24.1)</td><td>1625 (23.2)</td><td></td><td></td></tr></tbody></table>

<footnote>* Creatinin clearance calculated by simplified MDRD formula, considering all patients were white</footnote>

<footnote>** Risk stratification based on the 2008 American College of Chest Physicians guidelines for thromboprophylaxis in acutely ill medical patients. IQR: interquartile range.</footnote>
<table><caption>Table 3. Clinical events.</caption><thead><tr><th></th><th>Intervention group</th><th>Control group</th><th>OR (95% CI) adjusted for cluster effect only*</th><th>p</th><th>OR (95% CI) adjusted for cluster and fixed effects**</th><th>p</th></tr></thead><tbody><tr><td>Thromboembolic event or major bleeding—no./N (%)</td><td>250/8068 (3.1)</td><td>214/6692 (3.2)</td><td>0.99 (0.75–1.32)</td><td>0.97</td><td>1.02 (0.78–1.34)</td><td>0.87</td></tr><tr><td>First event:</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Thromboembolic event—no./N (%)</td><td>150/8068 (1.9)</td><td>128/6692 (1.9)</td><td>1.02 (0.70–1.47)</td><td>0.94</td><td>1.01 (0.71–1.45)</td><td>0.93</td></tr><tr><td>Pulmonary embolism (including fatal)—no.</td><td>31</td><td>36</td><td></td><td></td><td></td><td></td></tr><tr><td>Unexplained sudden death—no.</td><td>71</td><td>58</td><td></td><td></td><td></td><td></td></tr><tr><td>Proximal deep vein thrombosis—no.</td><td>24</td><td>22</td><td></td><td></td><td></td><td></td></tr><tr><td>Distal deep vein thrombosis—no.</td><td>24</td><td>12</td><td></td><td></td><td></td><td></td></tr><tr><td>Major bleeding (including fatal)—no./N (%)</td><td>100/8068 (1.2)</td><td>86/6692 (1.3)</td><td>0.93 (0.57–1.50)</td><td>0.76</td><td>0.99 (0.60–1.63)</td><td>0.97</td></tr><tr><td>Non-fatal major bleeding—no.</td><td>76</td><td>74</td><td></td><td></td><td></td><td></td></tr><tr><td>Fatal bleeding—no.</td><td>24</td><td>12</td><td></td><td></td><td></td><td></td></tr><tr><td>Death—no./N (%)</td><td>940/8298 (11.3)</td><td>764/6884 (11.1)</td><td>0.93 (0.72–1.19)</td><td>0.57</td><td>0.96 (0.75–1.23)</td><td>0.75</td></tr><tr><td>Fatal pulmonary embolism—no.</td><td>3</td><td>5</td><td></td><td></td><td></td><td></td></tr><tr><td>Unexplained sudden death—no.</td><td>72</td><td>59</td><td></td><td></td><td></td><td></td></tr><tr><td>Fatal hemorrhage—no.</td><td>37</td><td>25</td><td></td><td></td><td></td><td></td></tr><tr><td>Death unrelated to PE or hemorrhage—no.</td><td>663</td><td>534</td><td></td><td></td><td></td><td></td></tr><tr><td>Death with insufficient information—no.</td><td>165</td><td>141</td><td></td><td></td><td></td><td></td></tr></tbody></table>

*OR from mixed logistic regression including center as random intercept

** Fixed effects were:—for thromboembolic event and major bleeding: age, gender, history of active malignant condition, hospitalization within 1 month, renal function at admission, main acute medical condition, surgery (general or regional anesthesia), indwelling central venous catheter or cardiac stimulator implantation, length of hospitalization, university hospital;—for mortality: same factors, plus history of previous thromboembolism, history of congestive heart failure, antiplatelet therapy; OR: odds ratio; CI: confidence interval; PE: pulmonary embolism

doi:10.1371/journal.pone.0154832.t003

period, the rate of adequate practice did not change significantly in either group (-1.5% in the intervention group and -0.3% in the control group) (Table 4). Similar results were produced if the thromboprophylaxis was considered adequate only if the treatment was initiated within the first 2 days, as opposed to 5, or, in the subgroup analysis in terms of whether an antithrombotic treatment was indicated (S5 and S6 Tables).

Indeed, in the intervention group, the rate of high-risk patients for whom prophylaxis was indicated (Table 1) and who received adequate antithrombotic treatment increased during the intervention period (+6.8%), though this was accompanied by an increase in the rate of high-risk patients who received inadequate treatment because of inadequate dosage, delay, or duration (+2.3%) and in the rate of patients who received treatment when prophylaxis was not indicated or antithrombotic treatment was contraindicated (+3.4%). In the control group, the rate of patients for whom prophylaxis was indicated and who received adequate antithrombotic treatment increased (+5.0%), yet the rate of treatment remained stable for the other patients (Table 4).

The overall proportion of patients who received prophylactic anticoagulant treatment, regardless of the adequacy of the prescription, increased significantly more in the intervention group (+13.2% [35.0% to 48.2%]) than in the control group (+3.4% [40.7% to 44.1%]) (adjusted between-group difference in the change: 6.6% [1.6 to 11.6]; post-hoc analysis; S7 Table).
<table><caption>Table 4. Thromboprophylaxis practice adequacy.</caption><thead><tr><th rowspan="3"></th><th colspan="4">Intervention group</th><th colspan="2">Control group</th><th rowspan="3">Adjusted<br>difference in<br>change (95% CI),<br>percentage<br>points*†</th><th rowspan="3">p value</th></tr><tr><th colspan="2">Period</th><th rowspan="2">Adjusted<br>absolute<br>change,<br>%*§</th><th colspan="2">Period</th><th rowspan="2">Adjusted<br>absolute<br>change,<br>%*§</th></tr><tr><th>Pre-<br>intervention<br>N = 712</th><th>Intervention<br>N = 8359</th><th>Pre-<br>intervention<br>N = 690</th><th>Intervention<br>N = 6992</th></tr></thead><tbody><tr><td>Adequate prevention<br>practices—no. (%)</td><td>373 (52.4)</td><td>4254 (50.9)</td><td>-1.4</td><td>339 (49.1)</td><td>3413 (48.8)</td><td>-0.2</td><td>-1.2 (-6.6 to 4.2)</td><td>0.65</td></tr><tr><td>Prophylactic<br>anticoagulation given as<br>recommended in patients<br>with indication—no. (%)</td><td>73 (10.3)</td><td>1474 (17.6)</td><td>5.5</td><td>81 (11.7)</td><td>1094 (15.6)</td><td>3.7</td><td>1.7 (-1.8 to 5.2)</td><td>0.33</td></tr><tr><td>No prophylactic treatment<br>in patients without<br>indication—no. (%)</td><td>276 (38.8)</td><td>2517 (30.1)</td><td>-7.3</td><td>238 (34.5)</td><td>2060 (29.5)</td><td>-4.9</td><td>-2.4 (-7.4 to 2.6)</td><td>0.34</td></tr><tr><td>No prophylactic treatment<br>in patients contraindicated<br>to prophylactic<br>anticoagulation—no. (%)</td><td>24 (3.4)</td><td>263 (3.1)</td><td>-0.2</td><td>20 (2.9)</td><td>259 (3.7)</td><td>0.9</td><td>-1.0 (-2.9 to 0.8)</td><td>0.25</td></tr><tr><td>Inadequate prevention<br>practices—no. (%)</td><td>339 (47.6)</td><td>4105 (49.1)</td><td></td><td>351 (50.9)</td><td>3579 (51.2)</td><td></td><td></td><td></td></tr><tr><td>Treatment recommended<br>but not given—no. (%)</td><td>163 (22.9)</td><td>1553 (18.6)</td><td>-3.4</td><td>151 (21.9)</td><td>1587 (22.7)</td><td>0.8</td><td>-4.3 (-8.9 to 3.9)</td><td>0.072</td></tr><tr><td>Treatment recommended,<br>but not given as<br>recommended—no. (%)</td><td>83 (11.7)</td><td>1195 (14.3)</td><td>1.8</td><td>86 (12.5)</td><td>900 (12.9)</td><td>-0.1</td><td>1.9 (-1.2 to 5.2)</td><td>0.24</td></tr><tr><td>Treatment not<br>recommended (or<br>contraindicated) but given<br>—no. (%)</td><td>93 (13.1)</td><td>1357 (16.2)</td><td>2.3</td><td>114 (16.5)</td><td>1092 (15.6)</td><td>-0.2</td><td>2.5 (-1.1 to 6.1)</td><td>0.17</td></tr></tbody></table>

* Adjusted for cluster effect, age, history of chronic respiratory disease, active malignant condition, antiplatelet therapy, surgery during hospitalization, indwelling central venous catheter or cardiac stimulator implantation, length of hospitalization

§ Adjusted absolute change in the frequency of adequate prevention practice between the pre-intervention and intervention periods

† Difference in absolute change of adequacy between the intervention and control groups

CI: confidence interval

doi:10.1371/journal.pone.0154832.t004

Discussion

In this cluster-randomized trial, a multifaceted intervention aimed at implementing venous thromboembolism prophylaxis recommendations did not reduce the rate of symptomatic thromboembolic events or major bleedings within 3 months following hospitalization for acute medical illness. Although it led to an increase in the rate of antithrombotic treatment use, the intervention did not increase the rate of adequate prophylaxis.

Several explanations might account for these negative and unexpected results. First, we planned to implement a multifaceted intervention including a computer-based clinical decision support system and computerized reminders in the intervention group because such interventions appear to be the most effective system-wide measures for improving the quality of care in hospitals.[8, 16] Although all other components of the intervention were implemented in all sites in the intervention group, we were only able to implement plugin reminders in two centers. Two sites had no computerized medical file, four had a computerized file incompatible with the plugin and in five centers, hospital policy did not allow plugin implementation. Moreover, the plugin that we implemented in these two centers could not select high-risk patients
and provided reminder for all hospitalized medical patients. This result emphasizes that, com-
plex interventions based on information technology systems and equipment remain difficult to
generalize.[17]

Second, the intervention did not increase the rate of adequate prophylaxis. Although an
increase in the rate of prophylaxis was observed in the intervention group, this was partially
explained by an increase in over-treatment in patients who were not at risk, along with an
increase in inappropriate treatment in others. Of note, these outcomes had hardly ever previously
been studied. Most previous trials were focused on high-risk patients and did not analyze change
versus baseline prescription rates.[17–22] Only one previous study demonstrated a reduction in
over-treatment using a specific anticoagulant prescription form, [23] yet other reports echo our
own in their apparent increases in over-treatment.[24] No prior study has assessed the rate of
inadequate treatment, even though inappropriate dosages appear inefficient in the prevention of
VTE and over-treatment may expose patients to an unnecessary risk of bleeding.[25]

Third, assessing the thromboembolic risk in medical patients is not always straightforward.
Current recommendations are mostly based on the main reason for admission, but a clear defi-
nition of most diseases known to be at-risk of VTE is lacking. This is at least the case for acute
respiratory failure and rheumatic disorders. The diagnosis may also be uncertain at the time of
admission and the definition of bedrest may vary across physicians. A simpler and more reli-
able risk assessment model may be more effective for a system-wide intervention.[26]

To our knowledge, this study is the first randomized trial planned to assess the clinical bene-
fit-risk ratio of such a multifaceted intervention in unselected hospitalized patients. Among the
ten prior randomized studies [17–24, 27], only one demonstrated a decrease in thromboem-
bolic events.[20] This single-center study was based on a complex strategy based on the analy-
sis of the computerized medical files and using electronic alerts in a selected group of untreated
high-risk medical and surgical patients (80% patients with underlying cancer). The other stud-
ies reported so far were weakened by their study design (primarily before-and-after cycle), size,
and outcome criteria (most often not clinical events).[8] A recent meta-analysis of randomized
control trials evaluating different interventions to improve thromboprophylaxis has reported
an increase in the proportion of high-risk patients receiving treatment, though has failed to
demonstrate an improvement in clinical events.[8] Our study, including a large number of
patients providing a high power to detect a clinically significant improvement in outcomes,
confirms these results.

The main strengths of our study are its size, design, and primary outcome, assessing the
clinical benefit of the intervention rather than processes of care. Although the number of par-
ticipating centers was 27 instead of 30, the statistical power and the cluster-randomized design,
allowing us to check for time effect and avoid contamination bias, give us confidence in our
results. The study also has some limitations. Firstly, some of our criteria for adequate prophy-
laxis based on 2008 guidelines may today be debatable.[26, 28] Secondly, we focused our analy-
sis on antithrombotic treatment and did not assess mechanical thromboprophylaxis. Thirdly,
due to the lack of stratification by the centers’ activities, there were some differences in the
number of patients and patients’ characteristics between the two groups. Fourthly, the rate of
thromboembolic events in the control group was lower than expected. Physicians were aware
of an ongoing study of thromboprophylaxis and may have improved their baseline practice
(Hawthorne effect). Finally, ICU admission and invasive treatments were not recorded.

In conclusion, our multifaceted intervention, aiming to implement current recommenda-
tions on thromboprophylaxis for unselected medical patients, failed to demonstrate any clinical
benefit. The intervention was associated with an increase in the use of antithrombotic treat-
ment but no increase in adequate thromboprophylaxis was observed. New strategies are
required to address thromboprophylaxis in hospitalized medical patients, including simpler
assessment of the risk of VTE, at least in hospitals where complex strategies based on computerized reminders and alerts are not implementable.

## Statistical analysis

The statistical analysis was performed by Dr Antoine Rachas and supervised by Pr Gilles Chatterlier (Centre d'investigation Épidémiologique 4, INSERM, Paris, France; Unité d'Épidémiologie et de Recherche Clinique, Assistance Publique Hopitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France).

## Supporting Information

S1 CONSORT Checklist. CONSORT extension for cluster trial checklist.

(DOCX)

S1 Poster. Poster A used in the intervention group (in French).

(PDF)

S2 Poster. Poster B used in the intervention group (in French).

(PDF)

S1 Protocol. Study protocol (English version).

(DOCX)

S1 Statistical Analysis Plan.

(PDF)

S1 Table. Baseline characteristics of patients included during the intervention period by lost to follow-up status.

(DOC)

S2 Table. Subgroups analysis of clinical events.

(DOC)

S3 Table. Sensitivity analyses of the main outcome.

(DOC)

S4 Table. In-hospital outcomes.

(DOC)

S5 Table. Thromboprophylaxis practices adequacy according to whether a preventive anticoagulant treatment was recommended.

(DOC)

S6 Table. Thromboprophylaxis practices adequacy and delay of prescription.

(DOC)

S7 Table. Prescription of prophylactic anticoagulant treatment.

(DOC)

S8 Table. Three-months outcomes in the 2 hospitals for which a computerized reminder was implemented.

(DOC)

S9 Table. Thromboprophylaxis practices adequacy in the 2 hospitals for which a computerized reminder was implemented.

(DOC)
**S10 Table. Intracluster correlation coefficients.**

(DOC)

**Acknowledgments**

The study was supported by the French investigation network on VTE (INNOVTE). We would like to thank all the members of the PREVENU study group and the research assistants, secretaries, physicians, and residents of the emergency departments for their invaluable collaboration. We also wish to thank Babak Khoshnood for his statistical support and Guillaume de Charette for his technical support.

**PREVENU study group**

The members of the PREVENU study group were as follows:

**Steering Committee**—Pierre-Marie Roy (Study Chair and PREVENU study group leader; CHU Angers, France, PMRoy@chu-angers.fr), Dominique Mottier (CHU, Brest, France), Jean-not Schmidt (CHU, Clermont Ferrand, France), Catherine Le Gall (CH, Argenteuil, France), Pierre Hausfater (APHP, Pitiè-Salpétrière, Paris, France), Grégoire Le Gal (CHU, Brest, France), and Pierre Durieux (APHP, Hôpital Européen Georges Pompidou, Paris, France);

**Critical Events Adjudication Committee**—Guy Meyer (APHP, Hôpital Européen Georges Pompidou, Paris, France), Philippe Girard (Institut Montsouris, Paris, France), Françoise Parent (APHP, Hôpital de Bicêtre, le Kremlin Bicêtre, France), Olivier Sanchez (APHP, Hôpital Européen Georges Pompidou, Paris, France), and Andrea Penaloza (Cliniques Universitaires Saint Luc, Bruxelles, Belgium);

**Statistical analysis**—Antoine Rachas (APHP, Hôpital de Bicêtre, le Kremlin Bicêtre, France) and Gilles Chatellier (Hôpital Européen Georges Pompidou, Paris, France);

**Data management:** Jean-Marie Chrétien (CHU, Angers, France);

**Investigators (by city)**—Albert Trinh-Duc and Albane Buan (CH, Agen, France); Aurore Armand, Thibault Schotte and Sophie Dambrine (CHU, Angers, France); Catherine Le Gall and Pascal Peudepièce (CH, Argenteuil, France); Mohamed Hachelaf and Thibault Desmesttre (CHU, Besançon, France); Alain-Eric Dubart (CH, Béthune, France); Frédéric Adnet and Sabine Guinemer (APHP, Bobigny); David Elkharrat (CHU Boulogne); Morgan Jaffrelot and Erwann L’Her (CHU, Brest, France); Guillem Bouilleau and Louis Soulat (CH, Chateauroux, France); Jeannot Schmidt and Farès Moustafa (CHU, Clermont Ferrand, France); Patrick Miroux, Géraldine Layani, and Yan Normand (CH, Compiègne, France); Bertrand Renaud, Aline Santin, and Alfred N’Gako (APHP, Hôpital Henri Mondor, Créteil, France); Didier Honnart and Cindy Tissier (CHU, Dijon, France); Françoise Carpentier and Claire Ara Somohano (CHU, Grenoble, France); Eric Wiel and Pierre Willatte (CHU, Lilles, France); Marc-Louis Alazia and Patrick Gerbeaux (APHM Marseille, France); François Braun (CHG, Metz, France); Dominique Elkouri and Nicolas Goffinet (CHU, Nantes, France); Lionel Nace and Anne Mercuri (CHU, Nancy, France); Jean-Emmanuel De La Coussaye and Jean-Yves Lefrant (CH, Nîmes, France); Enrique Casalino (APHP, Hôpital Bichat, Paris, France); Yann-Erick Claes-sens and Jean-Christophe Allo (APHP, Hôpital Cochin, Paris, France); Florence Dumas and Emmanuel Bloch-Laine (APHP, Hôtel-Dieu, Paris, France); Pierre Hausfater and Samuel Delerme (APHP, La Pitié Salpétrière, Paris, France); Fatima Rayeh-Pelardy, Michel Scepi, and Jean-Yves Lardeur (CHU, Poitiers, France); Jacques Bouget (CHU, Rennes, France); Frédéric Staiskowsky (CHG, Saint Pierre, La Réunion);

**Research operation team:** Béatrice Gable (Chair), Aurore Hamard, Gaëlle Durand, Marie-Lyne Pinot, Nabahat Ibrir, and Sybille Quentin-Georget (CHU Angers, France)
## Author Contributions

Conceived and designed the experiments: PMR PD GM GLG JS DM. Performed the experiments: PMR JS PH DEK DH CL. Analyzed the data: PMR AR GM GLG JS PH PD JMC DM. Contributed reagents/materials/analysis tools: PMR AR GM PD JMC. Wrote the paper: PMR AR PD GM GLG JMC.

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