Venous Thromboembolism (VTE) Prevention in the Hospital (Text Descript Slide PresentationVenous Thromboembolism (VTE) Prevention in the Hospital: Slide Presentation Slide PresentationThis is the text version of Greg Maynard's slide presentation, Venous Thromboembolism (VTE) Prevention in the Hospital. Select to access the PowerPoint® slide presentation. (2.3 MB). Select for presentation transcript)Slide 1 Venous Thromboembolism (VTE) Prevention in the HospitalGreg Maynard M.D., M.Sc.Clinical Professor of Medicine and Chief,Division of Hospital MedicineUniversity of California, San Diego.Slide 2 VTE: A Major Source of Mortality and Morbidity350,000 to 650,000 with VTE per year.100,000 to >200,000 deaths per year.Most are hospital related.VTE is primary cause of fatality in half- More than HIV, MVAs, Breast CA combined.Equals 1 jumbo jet crash / day.10% of hospital deaths. May be the #1 preventable cause.Huge costs and morbidity (recurrence, post-thrombotic syndrome, chronic PAH).Surgeon General's Call to Action to Prevent DVT and PE 2008 DHHS.Slide 3 Risk Factors for VTEStasisAge >40.Immobility.CHF.Stroke.Paralysis.Spinal Cord injury.Hyperviscosity.Polycythemia.Severe COPD.Anesthesia.Obesity.Varicose Veins.HypercoagulabilityCancer.High estrogen states.Inflammatory Bowel.Nephrotic Syndrome.Sepsis.Smoking.Pregnancy.Thrombophilia.Endothelial DamageSurgery.Prior VTE.Central lines.Trauma.Anderson FA Jr. & Wheeler HB. Clin Chest Med 1995;16:235.Slide 4 Risk Factors for VTEOver the list of Risk Factors for VTE enumerated in slide 3 is written: Most hospitalized patients have at least one risk factor for VTE.Slide 5Failure to Do Simple Things WellWash Hands: 60% Reliable.Patients Understand Meds / Problems: 40% Reliable.Central Lines Placed w/ Proper Technique: 60% Reliable.Basal Insulin for Inpt Uncontrolled DM: 40% Reliable.VTE Prophylaxis: 50% Reliable.Slide 6Registry DataHighlight the Underuse of ThromboprophylaxisDVT-free, RIETE, Improve:BAD NEWS!Only a minority of hospitalized patients receive thromboprophylaxis.Goldhaber SZ, Tapson VF. Am J Cardiol 2004;93:259-62.Monreal M, et al. J Thromb Haemost 2004;2:1892-8.Tapson V, et al. Blood 2004;104:11. Abstract #1762.Slide 7ENDORSE ResultsOut of ~70,000 patients in 358 hospitals, appropriate prophylaxis was administered in: 58.5% of surgical patients.39.5% of medical patients.Cohen, Tapson, Bergmann, et al. Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): a multinational cross-sectional study. Lancet 2008; 371: 387-94.Slide 8The "Stick" is coming...NQF endorses measures already.Public reporting and TJC measures coming soon:Prophylaxis in place within 24 hours of admit or risk assessment / contraindication justifying it's absence.Same for critical care unit admit / transfers.Track preventable VTE.CMS—DVT or PE with knee or hip replacement reimbursed as though complication had not occurred.Slide 9Why don't we do better?Lack of awareness or buy in of guidelines.Underestimation of clot risk, overestimation of bleeding risk.Lack of validated risk assessment model.Translating complicated guidelines into everyday practice is difficult.Slide 10E-Alerts Can Increase Prophylaxis2506 hospitalized patients.VTE risk score ≥ 4.Randomized to intervention or control.InterventionTreatment ReceivedMechanical, %Pharmacologic, %E-Alert1023.6Control1.513P-value0.0010.001Kucher N, et al. N Engl J Med. 2005;352:969-77.Slide 11E-Alerts Decrease VTEImage: A graph showing the percent of freedom from DVT/PE over 90 days. In the period, for the intervention group, percent of freedom fell from 100 percent to about 95 percent. For the control group, percent of freedom fell from 100 percent to about 91 percent.Number at riskIntervention1255977900853Control1251976893839Kucher N, et al. N Engl J Med 2005;352:969-977.Slide 12Effectiveness can wane over time VTE Incidence/1000 patientsOverall2005 (preintervention)3.420061.620071.5Medical patients2005 (preintervention)420062.320071.3Surgical Patients2005 (preintervention)2.320061.220071.8Lecumberri R, et al. Thromb Haemost 2008;100:699-704.Slide 13Human Alerts Increase Prophylaxis2493 hospitalized patients.VTE risk score ≥ 4.Randomized to intervention or control.InterventionTreatment ReceivedMechanical, %Pharmacologic, %Hu-Alert2128Control81495% CI10.6-16.010.5-16.8Piazza G, et al. Circulation. 2009;119:2196-2201.Slide 14Human Alerts Decrease VTEImage: A graph showing the percent of freedom from DVT/PE over 90 days. In the period, for the human alert group, percent of freedom fell from 100 percent to about 97 percent. For the no alert group, percent of freedom fell from 100 percent to about 95 percent.Wilcoxon P-value: 0.307, Log-rank P-value: 0.309.Slide 15Bottom Line—AlertsA Useful Strategy.E-Alerts and Human Alerts can work.Not a panacea.Alert fatigue can be a problem.Need a multifaceted approach.Slide 16 Medical Admission Order Sets Can Improve DVT ProphylaxisBaseline—Only 11% of inpatients on any VTE prophylaxis.Intervention—A simple prompt for UFH or Mechanical Prophylaxis placed into voluntary admission order sets.Post intervention: 44 percent on any prophylaxis, 26 percent pharmacologic prophylaxis.O'Connor C, Adhikari N, DeCaire K, Friedrich Jan. Medical Admission Order Sets to Improve Deep Vein Thrombosis Prophylaxis Rates and Other Outcomes. J Hosp Med 2009.Slide 17...but not enough by themselves, and design of the order set mattersBest practice prophylaxis not defined.Prompt ≠ ProtocolNo protocol = No guidance at the point of care.In order set, heparin, mechanical devices, and no prophylaxis presented as equal choices.Implementation / Reliability.At 15 months, only about half of inpatient admissions utilized standardized order set.Other methods needed to enhance performance!Slide 18Education alone is not sufficient...but it is essential to optimize other strategies that are effectiveStandardized order sets.Computerized decision support.E-alerts.Human alerts.Raising situational awareness.Audit and feedback.Slide 19Percent of Randomly Sampled inpatients with Adequate VTE ProphylaxisA run chart showing rates of adequate VTE prophylaxis rates at UCSD, based on randomly selected inpatients. Baseline rate = about 50%, consensus building and education phase shows improvement to 70%, order set implementation gets the rate of adequate prophylaxis to 80-90%, and real time identification pushes the adequate prophylaxis rates up to 98%. N = 2,944, mean 82 audits/month.Slide 20UCSD VTE Protocol ValidatedEasy to use, on direct observation—a few seconds.Inter-observer agreement— 150 patients, 5 observers—Kappa 0.8 and 0.9Predictive of VTE.Implementation = high levels of VTE prophylaxis. From 50% to sustained 98% adequate prophylaxis.Rates determined by over 2,900 random sample audits.Safe—no discernible increase in HIT or bleeding.Effective—40% reduction in HA VTE. 86% reduction in risk of preventable VTE.Image: Logos of AHRQ and University of California-San Diego.Slide 21 UCSD—Decrease in Patients with Preventable HA VTEImage: Run chart depicts a declining number of preventable VTE as the VTE total prophylaxis rate improves, which affected all services (medicine, surgery, ortho, other, and total) 10-13 preventable VTE per quarter were occurring at baseline in the first quarter of 2005, whereas this became 2 per quarter at times after implementation.Slide 22Hospital Acquired VTE by Year 2005200620072008Patients at Risk9,7209,92311,207 Cases w/ any VTE1311329280Risk for HA VTE1 in 761 in 731 in 122 Unadjusted RR1.01.030.61# (95% CI) (0.81-1.31)(0.47-0.79) Cases with PE21221521Risk for PE1 in 4631 in 4511 in 747 Unadjusted RR1.01.020.62 (95% CI) (0.54-1.86)0.32-1.20 Cases with DVT (and no PE)1101167768Risk for DVT1 in 881 in 851 in 146 Unadjusted RR1.01.030.61* (95% CI) (0.80-1.33)(0.45-0.81) Cases w/ Preventable VTE442176Risk for Preventable VTE1 in 2211 in 4731 in 1,601) Unadjusted RR1.00.47#0.14 (95% CI) (0.28-0.79)(0.06-0.31 # p <0.01 *p <0.001Maynard GA, et al. J Hosp Med. 2009.Slide 23 VTE Prevention Guides Modeling a Multifaceted ApproachTwo images are shown. One is the cover of Preventing Hospital-Acquired Venous Thromboembolism, A Guide for Effective Quality Improvement—Version 3.0. The other cover is Preventing Hospital-Acquired Venous Thromboembolism, A guide to Effective Quality Improvement.http://www.ahrq.gov/qual/vtguide/http://www.hospitalmedicine.org/ResourceRoomRedesign/RR_VTE/VTE_Home.cfmSlide 24 VTE QI Resource Room www.hospitalmedicine.orgImage: Screen shot of Web page: Society of Hospital Medicine title at the top, with a blue banner labeled Quality Improvement Resource Rooms across the middle of the page. A gold box on the right of the screen shot titled Intervention Areas has "Venous Thromboembolism" outlined with a red rectangle.Slide 25Collaborative EffortsSHM VTE Prevention Collaborative I—25 sites.SHM / VA Pilot Group—6 sites.SHM / Cerner Pilot Group—6 sites.AHRQ / QIO (NY, IL, IA)—60 sites.IHI Expedition for VTE Prevention—60 sites.Effective across wide variety of settings. Paper and Computerized / Electronic.Small and large institutions.Academic and community.Slide 26Basic Ingredients for SuccessInstitutional support, will to standardize the process.Designated multidisciplinary team with physician leadership.Specific goals and metrics.VTE Protocol guidance built into order sets.Education / consensus.Alerts / feedback to clinicians in real time.Slide 27Enlist Key Groups / LeadersSection Heads.Hospitalists. (most groups receive some direct support from the hospital).Other high volume providers.Find some more physician champions.Slide 28Educational Detailing—PRQuote ACCP 8 Guidelines.Don't use aspirin alone for DVT prophylaxis.Mechanical prophylaxis is not first line prophylaxis in the absence of contraindications to pharmacologic prophylaxis.Geerts WH et al. Chest. 2008;133(6 Suppl):381S-453S.Slide 29Use the powerful anecdote and dataLook for VTE case that could have been prevented.Personalize the story.Enlist a patient / family to help you tell the story.Get data on VTE in your medical center (it occurs more often than the doctors think it does).Slide 30Questions (Q) and Answers (A)Q. What is the best VTE risk assessment model?A. Simple, text based model with only 2-3 layers of VTE Risk.Q. Who should do the VTE risk assessment?A. Doctors (via admit transfer order sets), with back up risk assessment by front line nurses or pharmacists, focusing on those without prophylaxis.Slide 31Hierarchy of ReliabilityLevelPredicted Prophylaxis rate1No protocol* ("State of Nature")40%2Decision support exists but not linked to order writing, or prompts within orders but no decision support50%3Protocol well-integrated (into orders at point-of-care)65-85%4Protocol enhanced (by other QI / high reliability strategies)90%5Oversights identified and addressed in real time95+%* Protocol = standardized decision support, nested within an order set, i.e. what/when.Slide 32The Essential First InterventionVTE ProtocolA standardized VTE risk assessment, linked to...A menu of appropriate prophylaxis options, plus...A list of contraindications to pharmacologic VTE prophylaxis.Challenges:Make it easy to use ("automatic").Make sure it captures almost all patients.Trade-off between guidance and ease of use / efficiency.Slide 33Map to Reach Level 3Implementing an Effective VTE Prevention ProtocolExamine existing admit, transfer, periop order sets with reference to VTE prophylaxis.Design a protocol-driven DVT prophylaxis order set (w/ integrated risk assessment model [RAM]).Vette / Pilot—PDSA.Educate / consensus building.Place new standardized DVT order set 'module' into all pertinent admit, transfer, periop order sets.Monitor, tweak—PDSA.Slide 34Is your order set in a competition?Image: A photo of a table top with 15-20 order sets spread all over it is depicted.Slide 35Too Little GuidancePrompt ≠ ProtocolDVT PROPHYLAXIS ORDERSAnti thromboembolism Stockings.Sequential Compression Devices.UFH 5000 units SubQ q 12 hours.UFH 5000 units SubQ q 8 hours.LMWH (Enoxaparin) 40 mg SubQ q day.LMWH (Enoxaparin) 30 mg SubQ q 12 hours.No Prophylaxis, Ambulate.Slide 36No Math!Critiques of VTE Risk Assessment Model using point scoring techniquesPoint based systems— Low inter-observer agreement in real use.Users stop adding up points.Too large to be modular (collects dust).Point scoring is arbitrary.Never validated.Slide 37Example from UCSDKeep it Simple—A "3 bucket" modelLowMediumHighAmbulatory with no other risk factors. Same day or minor surgeryCHF COPD / Pneumonia Most Medical Patients Most Gen Surg Patients Everybody ElseElective LE arthroplasty Hip/pelvic fx Acute SCI w/ paresis Multiple major trauma Abd / pelvic CA surgeryEarly ambulationUFH 5000 units q 8 h (5000 units q 12 h if > 75 or weight <50 kg)LMWH Enox 40 mg q dayOther LMWHCONSIDER add IPCEnox 30 mg q 12 h or Enox 40 q day or Other LMWH orFondaparinux 2.5 mg q day or Warfarin INR 2-3AND MUST HAVE IPCIPC needed if contraindication to AC exists.Slide 38Paper Version—"3 Bucket" RAM DVT Prophylaxis Order Set ModuleSeparate paper version demonstrating 3 bucket model.Slide 39Integrate order set as a moduleMake order set even more portable.Incorporate module into current heavily used order sets.OrStrip out VTE orders from popular order sets and refer to the standardized orders.Clip orders to all admit / transfer orders.Slide 40Most Common Mistakes in VTE Prevention OrdersPoint based risk assessment model.Improper Balance of guidance / ease of use Too little guidance—prompt ≠ protocol.Too much guidance-collects dust, too long.Failure to revise old order sets.Too many categories of risk.Allowing non-pharm prophy too much.Failure to pilot, revise, monitor.Linkage between risk level and prophy choices are separated in time or space.Slide 41Hierarchy of ReliabilityLevelPredicted Prophylaxis rate1No protocol* ("State of Nature")40%2Decision support exists but not linked to order writing, or prompts within orders but no decision support50%3Protocol well-integrated (into orders at point-of-care)65-85%4Protocol enhanced (by other QI / high reliability strategies)90%5Oversights identified and addressed in real time95+%* Protocol = standardized decision support, nested within an order set, i.e. what/when.Slide 42Measure-ventionDaily measurement drives concurrent intervention (i.e. same as Level 5 in Hierarchy of Reliability)Identify patients not receiving VTE prophylaxis in real time.Suitable for ongoing assessment, reporting to governing body. Archive-able data (!)Can be used for real time intervention. Actionable data (!)Slide 43Map to Reach Level 5 95+ % prophylaxisUse MAR or Automated Reports to Classify all patients on the Unit as being in one of three zones:GREEN ZONE—on anticoagulation.YELLOW ZONE—on mechanical prophylaxis only.RED ZONE—on no prophylaxis.Act to move patients out of the RED!Slide 44Situational Awareness and Measure-vention: Getting to Level 5Identify patients on no anticoagulation.Empower nurses to place SCDs in patients on no prophylaxis as standing order (if no contraindications).Contact MD if no anticoagulant in place and no obvious contraindication Templated note, text page, etc.Need Administration to back up these interventions and make it clear that docs can not "shoot the messenger".Slide 45This slide depicts a staggered time series, displaying the quick effect of "measure-vention" is the technique was initiated on 3 wards in two different centers. Protocol implementation had already boosted VTE prophylaxis rates to around 70%, with very quick (in a matter of days) improvement to over 90%.Effect of Situational Awareness on Prevalence of VTE Prophylaxis by Nursing UnitHospital A, 1st Nursing UnitBaselinePost-InterventionUCL93%104%Mean73%99% (p < 0.01)LCL53%93%Hospital A, 2nd Nursing UnitBaselinePost-InterventionUCL90%102%Mean68%87% (p <0.01)LCL46%72%Hospital B, 1st Nursing UnitBaselinePost-InterventionUCL89%108%Mean71%98% (p <0.01)LCL53%88%UCL = Upper Control Limit.LCL = Lower Control Limit.Slide 46 Most Common Mistakes in Measurement of DVT ProphylaxisNot doing it at all.Not doing it concurrently.Failure to make measured poor performance actionable.Slide 47Key Points—RecommendationsQI building blocks should be used.Multifaceted approach is needed.VTE protocols embedded in order sets.Simple risk stratification schema, based on VTE-risk groups (3 levels of risk should do it).Institution-wide if possible (a few carve outs ok).Local modification is OK Details in gray areas not that important.Use measure-vention to accelerate improvement.Slide 48ReferencesMaynard G, Morris T, Jenkins I, Stone S, Lee J, Renvall M, Fink E, Schoenhaus R (2009) Optimizing prevention of hospital acquired venous thromboembolism: prospective validation of a VTE risk assessment model. J Hosp Med 4(7). doi:10.1002/jhm.562.Maynard G, Stein J. Preventing Hospital-Acquired Venous Thromboembolism: A Guide for Effective Quality Improvement. Prepared by the Society of Hospital Medicine. AHRQ Publication No. 08-0075. Rockville, MD: Agency for Healthcare Research and Quality. August 2008, last accessed September 15, 2008 at http://www.ahrq.gov/qual/vtguide/.Maynard G, Stein J. Preventing Hospital-Acquired Venous Thromboembolism: A Guide for Effective Quality Improvement, version 3.3. Society of Hospital Medicine supplement The Hospitalist August 2008, Vol 12 (8) 1-40.Maynard G, Stein J. Designing and Implementing Effective VTE Prevention Protocols: Lessons from Collaboratives. J Thromb Thrombolysis DOI 10.1007/s11239-009-0405-4 published online Nov 10, 2009. Current as of June 2010 Internet Citation: Venous Thromboembolism (VTE) Prevention in the Hospital (Text Descript: Slide Presentation. June 2010. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/professionals/quality-patient-safety/quality-resources/value/vtepresentation/maynardtxt.html