Literature DB >> 27227406

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

Pierre-Marie Roy1, Antoine Rachas2, Guy Meyer3, Grégoire Le Gal4, Pierre Durieux5, Dominique El Kouri6, Didier Honnart7, Jeannot Schmidt8, Catherine Legall9, Pierre Hausfater10, Jean-Marie Chrétien11, Dominique Mottier4.   

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. 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.

Entities:  

Mesh:

Year:  2016        PMID: 27227406      PMCID: PMC4881951          DOI: 10.1371/journal.pone.0154832

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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 1

Definition of high-risk patients and recommendations of thromboprophylactic treatment.

High risk of venous thromboembolism (VTE) acute medical condition*
Congestive heart failure (New York Heart Association class III or IV)
Acute respiratory failure
Recent ischemic stroke or neurological injury with lower extremity weakness (< 30 days)
Recent myocardial infarct or acute coronary syndrome (< 30 days)
Intermediate risk of VTE acute medical condition § and VTE risk factor(s)
SepsisAge ≥ 75 years
Acute rheumatic disorderPrevious VTE
Acute inflammatory diseaseActive cancer
Obesity (body mass index ≥ 30)
Varicose veins
Hormone therapy (anti-androgen or estrogen)
Chronic heart or respiratory failure
Pregnancy or recent post-partum (< 30 days)

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 †

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 † 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 thromboprophylaxis 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 intervention 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 trials aiming to improve the implementation of good practice recommendations as non-interventional 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 withdrawal of their personal data. The study was also registered at the international registry of clinical 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 throughout 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.
Fig 1

Flow chart.

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 centers 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 provided. However, for technical and administrative reasons, computerized reminders could be implemented in only two centers. 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.
Table 2

Characteristics of the study population.

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

* Creatinin clearance calculated by simplified MDRD formula, considering all patients were white

** Risk stratification based on the 2008 American College of Chest Physicians guidelines for thromboprophylaxis in acutely ill medical patients. IQR: interquartile range.

* Creatinin clearance calculated by simplified MDRD formula, considering all patients were white ** Risk stratification based on the 2008 American College of Chest Physicians guidelines for thromboprophylaxis in acutely ill medical patients. IQR: interquartile range.

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.
Table 3

Clinical events.

 Intervention groupControl groupOR (95% CI) adjusted for cluster effect only*pOR (95% CI) adjusted for cluster and fixed effects**p
Thromboembolic event or major bleeding—no./N (%)250/8068 (3.1)214/6692 (3.2)0.99 (0.75–1.32)0.971.02 (0.78–1.34)0.87
First event:   
  Thromboembolic event—no./N (%)150/8068 (1.9)128/6692 (1.9)1.02 (0.70–1.47)0.941.01 (0.71–1.45)0.93
    Pulmonary embolism (including fatal)—no.3136
    Unexplained sudden death—no.7158
    Proximal deep vein thrombosis—no.2422
    Distal deep vein thrombosis—no.2412
  Major bleeding (including fatal)—no./N (%)100/8068 (1.2)86/6692 (1.3)0.93 (0.57–1.50)0.760.99 (0.60–1.63)0.97
    Non-fatal major bleeding—no.7674
    Fatal bleeding—no.2412
Death—no./N (%)940/8298 (11.3)764/6884 (11.1)0.93 (0.72–1.19)0.570.96 (0.75–1.23)0.75
    Fatal pulmonary embolism—no.35
    Unexplained sudden death—no.7259
    Fatal hemorrhage—no.3725
    Death unrelated to PE or hemorrhage—no.663534
    Death with insufficient information—no.165141

*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

*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 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 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).
Table 4

Thromboprophylaxis practice adequacy.

Intervention group Control groupAdjusted difference in change (95% CI), percentage points*p value
PeriodAdjusted absolute change, %*§ PeriodAdjusted absolute change, %*§ 
Pre-interventionInterventionPre-interventionIntervention
N = 712N = 8359N = 690N = 6992
Adequate prevention practices—no. (%)373 (52.4)4254 (50.9)-1.4339 (49.1)3413 (48.8)-0.2-1.2 (-6.6 to 4.2)0.65
Prophylactic anticoagulation given as recommended in patients with indication—no. (%)73 (10.3)1474 (17.6)5.581 (11.7)1094 (15.6)3.71.7 (-1.8 to 5.2)0.33
No prophylactic treatment in patients without indication—no. (%)276 (38.8)2517 (30.1)-7.3238 (34.5)2060 (29.5)-4.9-2.4 (-7.4 to 2.6)0.34
No prophylactic treatment in patients contraindicated to prophylactic anticoagulation—no. (%)24 (3.4)263 (3.1)-0.220 (2.9)259 (3.7)0.9-1.0 (-2.9 to 0.8)0.25
Inadequate prevention practices—no. (%)339 (47.6)4105 (49.1)351 (50.9)3579 (51.2)
Treatment recommended but not given—no. (%)163 (22.9)1553 (18.6)-3.4151 (21.9)1587 (22.7)0.8-4.3 (-8.9 to 3.9)0.072
Treatment recommended, but not given as recommended—no. (%)83 (11.7)1195 (14.3)1.886 (12.5)900 (12.9)-0.11.9 (-1.2 to 5.2)0.24
Treatment not recommended (or contraindicated) but given—no. (%)93 (13.1)1357 (16.2)2.3114 (16.5)1092 (15.6)-0.22.5 (-1.1 to 6.1)0.17

* 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

* 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 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).

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, complex 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 definition 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 reliable 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 benefit-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 thromboembolic events.[20] This single-center study was based on a complex strategy based on the analysis 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 studies 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 participating 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 prophylaxis based on 2008 guidelines may today be debatable.[26, 28] Secondly, we focused our analysis 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. Fouthly, 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 recommendations on thromboprophylaxis for unselected medical patients, failed to demonstrate any clinical benefit. The intervention was associated with an increase in the use of antithrombotic treatment 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. The statistical analysis was performed by Dr Antoine Rachas and supervised by Pr Gilles Chatellier (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).

CONSORT extension for cluster trial checklist.

(DOCX) Click here for additional data file.

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

(PDF) Click here for additional data file.

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

(PDF) Click here for additional data file.

Study protocol (English version).

(DOCX) Click here for additional data file. (PDF) Click here for additional data file.

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

(DOC) Click here for additional data file.

Subgroups analysis of clinical events.

(DOC) Click here for additional data file.

Sensitivity analyses of the main outcome.

(DOC) Click here for additional data file.

In-hospital outcomes.

(DOC) Click here for additional data file.

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

(DOC) Click here for additional data file.

Thromboprophylaxis practices adequacy and delay of prescription.

(DOC) Click here for additional data file.

Prescription of prophylactic anticoagulant treatment.

(DOC) Click here for additional data file.

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

(DOC) Click here for additional data file.

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

(DOC) Click here for additional data file.

Intracluster correlation coefficients.

(DOC) Click here for additional data file.
  26 in total

1.  Effectiveness of written guidelines on the appropriateness of thromboprophylaxis prescriptions for medical patients: a prospective randomized study.

Authors:  A Fontaine; I Mahé; J F Bergmann; J N Fiessinger; R Dhote; P Cohen; P Vinceneux
Journal:  J Intern Med       Date:  2006-10       Impact factor: 8.989

2.  Meta-analysis: anticoagulant prophylaxis to prevent symptomatic venous thromboembolism in hospitalized medical patients.

Authors:  Francesco Dentali; James D Douketis; Monica Gianni; Wendy Lim; Mark A Crowther
Journal:  Ann Intern Med       Date:  2007-02-20       Impact factor: 25.391

3.  Changing clinical practice. Prospective study of the impact of continuing medical education and quality assurance programs on use of prophylaxis for venous thromboembolism.

Authors:  F A Anderson; H B Wheeler; R J Goldberg; D W Hosmer; A Forcier; N A Patwardhan
Journal:  Arch Intern Med       Date:  1994-03-28

4.  Venous thromboembolism prophylaxis in acutely ill hospitalized medical patients: findings from the International Medical Prevention Registry on Venous Thromboembolism.

Authors:  Victor F Tapson; Hervé Decousus; Mario Pini; Beng H Chong; James B Froehlich; Manuel Monreal; Alex C Spyropoulos; Geno J Merli; Rainer B Zotz; Jean-François Bergmann; Ricardo Pavanello; Alexander G G Turpie; Mashio Nakamura; Franco Piovella; Ajay K Kakkar; Frederick A Spencer; Gordon Fitzgerald; Frederick A Anderson
Journal:  Chest       Date:  2007-06-15       Impact factor: 9.410

5.  Electronic alerts to prevent venous thromboembolism among hospitalized patients.

Authors:  Nils Kucher; Sophia Koo; Rene Quiroz; Joshua M Cooper; Marilyn D Paterno; Boris Soukonnikov; Samuel Z Goldhaber
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

Review 6.  Interventions for implementation of thromboprophylaxis in hospitalized medical and surgical patients at risk for venous thromboembolism.

Authors:  Susan R Kahn; David R Morrison; Jacqueline M Cohen; Jessica Emed; Vicky Tagalakis; Andre Roussin; William Geerts
Journal:  Cochrane Database Syst Rev       Date:  2013-07-16

7.  Prevention of venous thromboembolism: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines (8th Edition).

Authors:  William H Geerts; David Bergqvist; Graham F Pineo; John A Heit; Charles M Samama; Michael R Lassen; Clifford W Colwell
Journal:  Chest       Date:  2008-06       Impact factor: 9.410

Review 8.  Venous thromboembolism prevention guidelines for medical inpatients: mind the (implementation) gap.

Authors:  Greg Maynard; Ian H Jenkins; Geno J Merli
Journal:  J Hosp Med       Date:  2013-08-27       Impact factor: 2.960

9.  Computer reminders to implement preventive care guidelines for hospitalized patients.

Authors:  J M Overhage; W M Tierney; C J McDonald
Journal:  Arch Intern Med       Date:  1996-07-22

10.  Guidelines on the diagnosis and management of acute pulmonary embolism: the Task Force for the Diagnosis and Management of Acute Pulmonary Embolism of the European Society of Cardiology (ESC).

Authors:  Adam Torbicki; Arnaud Perrier; Stavros Konstantinides; Giancarlo Agnelli; Nazzareno Galiè; Piotr Pruszczyk; Frank Bengel; Adrian J B Brady; Daniel Ferreira; Uwe Janssens; Walter Klepetko; Eckhard Mayer; Martine Remy-Jardin; Jean-Pierre Bassand
Journal:  Eur Heart J       Date:  2008-08-30       Impact factor: 29.983

View more
  8 in total

1.  Evaluation and management of thromboprophylaxis in Moroccan hospitals at national level: the Avail-MoNa study.

Authors:  Z Tazi Mezalek; C Nejjari; L Essadouni; M Samkaoui; K Serraj; W Ammouri; N Kanjaa; Z Belkhadir; B Housni; M Awab; M Faroudy; W Bono; S Kabbaj; M Akkaoui; M Barakat; R Rifai; H Charaf; A Aziz; Y Elachhab; A Azzouzi
Journal:  J Thromb Thrombolysis       Date:  2018-07       Impact factor: 2.300

2.  Prophylaxis of venous thromboembolism in Internal Medicine Units: the RAMs issue.

Authors:  Antonella Tufano; Giovanni Di Minno
Journal:  Intern Emerg Med       Date:  2018-03-14       Impact factor: 3.397

3.  Risk stratification for hospital-acquired venous thromboembolism in medical patients (RISE): Protocol for a prospective cohort study.

Authors:  Damien Choffat; Pauline Darbellay Farhoumand; Evrim Jaccard; Roxane de la Harpe; Vanessa Kraege; Malik Benmachiche; Christel Gerber; Salomé Leuzinger; Clara Podmore; Minh Khoa Truong; Céline Dumans-Louis; Christophe Marti; Jean-Luc Reny; Drahomir Aujesky; Damiana Rakovic; Andreas Limacher; Jean-Benoît Rossel; Christine Baumgartner; Marie Méan
Journal:  PLoS One       Date:  2022-05-24       Impact factor: 3.752

Review 4.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

Authors:  Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

Review 5.  Interventions for implementation of thromboprophylaxis in hospitalized patients at risk for venous thromboembolism.

Authors:  Susan R Kahn; David R Morrison; Gisèle Diendéré; Alexandre Piché; Kristian B Filion; Adi J Klil-Drori; James D Douketis; Jessica Emed; André Roussin; Vicky Tagalakis; Martin Morris; William Geerts
Journal:  Cochrane Database Syst Rev       Date:  2018-04-24

6.  Effectiveness of interventions for the implementation of thromboprophylaxis in hospitalised patients at risk of venous thromboembolism: an updated abridged Cochrane systematic review and meta-analysis of randomised controlled trials.

Authors:  Susan R Kahn; Gisele Diendéré; David R Morrison; Alexandre Piché; Kristian B Filion; Adi J Klil-Drori; James Douketis; Jessica Emed; André Roussin; Vicky Tagalakis; Martin Morris; William Geerts
Journal:  BMJ Open       Date:  2019-05-24       Impact factor: 2.692

7.  Quality appraisal of clinical guidelines for venous thromboembolism prophylaxis in patients undergoing hip and knee arthroplasty: a systematic review.

Authors:  Yu Wang; Li-Yun Zhu; Hai-Bo Deng; Xu Yang; Lei Wang; Yuan Xu; Xiao-Jie Wang; Dong Pang; Jian-Hua Sun; Jing Cao; Ge Liu; Ying Liu; Yu-Fen Ma; Xin-Juan Wu
Journal:  BMJ Open       Date:  2020-12-10       Impact factor: 2.692

8.  A multifaceted clinical decision support intervention to improve adherence to thromboprophylaxis guidelines.

Authors:  Tessa Jaspers; Marjolijn Duisenberg-van Essenberg; Barbara Maat; Marc Durian; Roy van den Berg; Patricia van den Bemt
Journal:  Int J Clin Pharm       Date:  2021-03-11
  8 in total

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