Project RED: Reengineering the Hospital Discharge Process (Text Version) Slide presentation from the AHRQ 2009 conference On September 15, 2009, Brian Jack MD made this presentation at the 2009 Annual Conference. Select to access the PowerPoint® presentation (39 MB). Plugin Software Help.Slide 1Project RED: Reengineering the Hospital Discharge ProcessAHRQ 2009 ConferenceResearch to Reform: Achieving Health System ChangeSeptember 13-16, 2009Brian Jack MDAssociate Professor and Vice ChairDepartment of Family MedicineBoston University School of MedicineSlide 2Plan for TodayThe ProblemHow We Got StartedNQF 'Safe Practice'Is 'Safe Practice' Safer?Risk Factors for RehospitalizationBarriers to ImplementationRoll-outCan Health IT Deliver?Slide 3"Perfect Storm" of Patient SafetyThe hospital discharge is non-standardized and frequently marked with poor quality.In 2006, there were 39.5 million hospital discharges with costs totaling $329.2 billion!Slide 4Patients Are Not Prepared at DischargeAt Discharge: 37% able to state the purpose of all their medications14% knew their medication's common side effects42% able to state their diagnosisPatients' Understanding of Their Treatment Plans and Diagnosis at Discharge. Amgad N. Makaryus, MD, Eli A. Friedman, MD. Mayo Clinic Proceedings. August 2005; 80(8):991-994.Slide 5Little Time Spent on DischargeAudiotaped 97 discharge encounters8 Elements—Roter Interactional Analysis Nurse, Pharmacist, Physician, Nurse Case ManagerAveraged 8 minutes (range, 2 to 28.5 min)No teachback 84% of the timePatient is a passive participant. Two initiated questionsNot comprehensive 4 or fewer elements covered 50% of timeSlide 6Pending Tests Not Followed41% of inpatients discharged with a pending test resultOver 9% potentially required action2/3 of physicians unaware of results37% actionable and 13% urgentAnnals of Internal Medicine. 2005; 143(2):121-8.Slide 7Work-ups Not Completed25% of discharged patients require additional outpatient work-upsMore than 1/3 not completedArchives of Internal Medicine. 2007;167:1305-11.Slide 8Communication BarriersImpact of patient communication problems on the risk of preventable adverse events in acute care settings.Gillian Bartlett, PhD, Regis Blais, PhD, Robyn Tamblyn, PhD, Richard J. Clermont, MD and Brenda MacGibbon, PhD CMAJ. June 2008;178(12)Patients with communication problems: 3 times more likely to have adverse event46% had multiple adverse eventsSlide 9Communication Deficits at Hospital Discharge Are CommonDischarge summary not readily available:12-34% at first post-discharge appt51-77% at 4 weeksDischarge summary lacking key components:Hospital course (7-22%)Discharge medications (2-40%)Completed test results (33-63%)Pending test results (65%)Follow-up plans (2-43%)Direct communication, 3-20%Kripalani S, LeFevre F, Phillips CO, et al. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care.JAMA 2007;297(8):831-41.Slide 10Discharges are Variable by Day of the WeekGraph showing days to re-hospitalization.Slide 11Errors Lead to Adverse EventsImage: Annals of Internal Medicine article. The incidence of Severity of Adverse Events Affecting Patients after Discharge from the Hospital.19% of patients had a post-discharge AE1/3 preventable and 1/3 ameliorableImage: Article titled "Adverse events among medical patients after discharge from hospital"23% of patients had a post-discharge AE 28% preventable and 22% ameliorableSlide 12A Real Discharge Instruction SheetImage: an example of an actual instruction sheet for a patient being discharges—how could anybody understand this.Slide 13"Perfect Storm"" of Patient SafetyThe hospital discharge is non-standardized and frequently marked with poor quality. Loose EndsCommunicationPoor Quality InfoPoor PreparationFragmentationGreat Variability20% of Medicare patients readmitted within 30 days1Only half had a visit in the 30 days after discharge1Jenks NEJM 2009.Slide 14Major Changes in Hospital Payments"Hospitals with high rates of readmission will be paid less if patients are readmitted to the hospital within the same 30-day period saving $26 billion over 10 years"Obama Administration Budget DocumentMedPAC recommends reducing payments to hospitals with high readmission ratesMEDPAC Testimony before Congress March '09All cause readmission rates released this summerCMS: 14 Quality Improvement Organizations "Safe Transitions" demonstration projectsAHA H2H—goal to reduce readmissions by 20% by 2012Slide 15Two QuestionsWe asked:Can improving the discharge process reduce adverse events and unplanned hospital utilization?Grant reviewer asked:What is the "discharge process"?Slide 16Principles of the RED: Creating the ToolkitFlow chart demonstrating the methods to carefully look at the process.Slide 17Process Mapping— Patient EducationProcess flow chart showing Patient Preparation to Patient leaving the hospital bed.Slide 18Process Mapping—2 Discharge SummariesProcess flow chart for Patient Discharge procedures.Slide 19Re-Engineering the DischargeIterative Group ProcessIdentification of Potential FailuresPrioritizationBrainstorming of AlternativesRe-design of Process MapSlide 20Principles of the Newly Re-Engineered Hospital DischargeExplicit delineation of roles and responsibilitiesPatient education throughout hospitalizationEasy Information flow:> From PCP > Among hospital team > Back to PCPWritten discharge plan for patientAll information organized and delivered to PCPWaiting until discharge order is written before beginning discharge process is error-proneEfficient and safe hospital discharge is significantly more challenging if discharge personnel work only 7AM to 3 PM shiftAll patients have access to their discharge information in their language and at their literacy levelThose at-risk have discharge plan re-enforced after dischargeDischarge processes benchmarked, measured and subject to continuous quality improvement programsSlide 21RED ChecklistEleven mutually reinforcing components:Medication reconciliationReconcile dc plan with National GuidelinesFollow-up appointmentsOutstanding testsPost-discharge servicesWritten discharge planWhat to do if problem arisesPatient educationAssess patient understandingDc summary to PCP Telephone ReinforcementAdopted by National Quality Forum as one of 30"Safe Practices" (SP-11)Slide 22Should the NQF/RED be Done for Discharge at Every Hospital?HypothesesA comprehensive discharge will:Lower hospital utilizationImprove readiness for dischargeIncrease PCP follow-upSlide 23Methods— Randomized Controlled TrialEnrollment Criteria:English speakingHave telephoneAble to independently consentNot admitted from institutionalized settingAdult medical patients admitted to Boston Medical Center (urban academic safety-net hospital)Slide 24After Hospital Care PlanImage: Cover example for Maria JohnsonSlide 25EACH DAY follow this schedule: Medication Schedule for Maria JohnsonSchedule chart for Maria Johnson.Slide 26Schedule chart for Maria Johnson with her Doctor contact information.Slide 27After Hospital Care Plan for Maria Johnson.Slide 28November 2005 Calendar showing Maria Johnson's medical appointmentsSlide 29How well did we deliver interventionRED ComponentIntervention Group (No, %)(N=370)PCP appointment scheduled346 (94%)AHCP given to patient306 (83%)AHCP/DC Summary faxed to PCP336 (91%)PharmD telephone call completed228 (62%)* 3 subjects excluded from outcome analysis: subject request (n=2), died before index discharge (n=1)Slide 30AnalysisPrimary outcome:Total hospital utilization (readmissions plus ED visits) Intention-to-treatPoisson tests for significanceCumulative hazard curves generated for time to multiple eventsSecondary outcomes:PCP follow-up rate, identified dc diagnosis, identified PCP name, self-reported preparedness for discharge, cost Proportions tests for significanceSlide 31What did we find?Slide 32Primary Outcome: Hospital Utilization within 30d after dc Usual Care(n=368)Intervention(n=370)P-valueHospital Utilizations *Total # of visitsRae (visits/patient/month)1660.4511160.3140.009ED VisitsTotal # of visitsRate (visits/patient/month)900.245610.1650.014ReadmissionsTotal # of visitsRate (visits/patient/month)760.207550.1490.090* Hospital utilization refers to ED + ReadmissionsSlide 33Cumulative Hazard Rate of Patients Experiencing Hospital Utilization30 days After Index DischargeCumulative hazard curve—shows the cumulative hazard of hospital utilization over the 30 days after discharge from the index admission. For subjects with more than one event in that time period, all events were counted, with time-to-event measured from the date of index discharge for each one. The p-value, significant at 0.004, comes from a log-rank test, comparing the intervention subjects to control subjects.Slide 34Self-Perceived Readiness for Discharge (30 days post-discharge)Bar graph showing measures of Prepared, Understand appts, Understand Meds, Understand Dx, and Questions answered between Usual Care and RED patients.Slide 35Outcome Cost AnalysisCost (dollars)Usual Care(n=368)Intervention(n=370)DifferenceHospital visits412,544268,942+143,6022ED visits21,38911,285+10,104PCP visits8,90612,617-3,711Total cost/group442,839292,844+149,995Total cost/subject1,203791+412We saved $412 in outcome costs for each patient given RED.Slide 36Medication Errors (MEs)Collected at PharmD Telephone Call2-4 days after discharge (n=197)MEs due to failure to take medication at 2-4 days are shown here.Slide 37Medication Errors (MEs)(PharmD Telephone Call)MAEs due to incorrect administration are shown hereSlide 38Medication Errors (MEs)(PharmD Telephone Call)And those due to system error are shown hereSlide 39ImplicationsThe components of the RED should be provided to all patients as recommended by the National Quality Forum, Safe Practice #11.Slide 40For which subgroups is RED effective?Slide 41HEALTH LITERACY: Risk of hospital re-utilizationBar graph showing health literacy in grades 3-9+.Slide 42Elderly: Outcomes For Ages >=65yrs (121/738 Total Participants)Slide 43Depression: # Hospital Utilizations, Hospital Utilization Rate, and IRR at 30, 60 and 90 daysHospital UtilizationDepression Screen *p-valueIRR*(CI)No. of Hospital Utilizations†30-day Hospital utilization rate1400.2961340.563<0.0011.90(1.51,2.40)No. of Hospital Utilizations†60-day Hospital utilization rate2310.4632050.868<0.0011.87(1.55,2.26)No. of Hospital Utilizations†90-day Hospital utilization rate3240.6482751.165<0.0011.79(1.53,2.10)Depression screen determined by scoring of Patient Health Questionnaire-9 (PHQ9).Depressive symptom score of 5 points or higher is designated as positive. (17)†Number of hospital utilizations include all emergency department (ED) visits and hospital readmissions following discharge from Project RED index admission. ED visits leading to hospital admission are counted as one event. Sum reflects cumulative number of events over 30, 60 and 90 days.Slide 44GENDER: Primary outcomes =30 days after index hospitalization MalesFemalesP valuePatients, n367370 Hospital utilizations,n (visits/patient/mo) *174 (0.474)108 (0.292)<0.001IRR (95% CI)1.62 (1.28, 2.06)REF Emergency department visits,n (visits/patient/mo)101 (0.275)50 (0.135)<0.001IRR (95% CI)2.04 (1.45, 2.86)REF Readmissions,n (visits/patient/mo)73 (0.199)58 (0.157)0.09IRR (95% CI)1.27 (0.90, 1.79)REF Slide 45GENDER: Outcome data collected at 30-day follow-up call by gender MalesFemalesP valueAble to identify PCP name77%88%<0.001How well did you understand your appointments after you left the hospital?78%87%0.005Visited PCP49%57%0.04 Able to identify discharge diagnosis73%77%0.24How well did you understand how to take your medications after leaving the hospital?84%88%0.12Slide 46RED Effectiveness for Risk Stratified Groups1. This graph shows that at the extremes (Risk Group 20 or lower or 70 and above) the intervention does not work. For groups 20 to 70 (mid-level risk), the intervention is very effective with the exception of a small significantly insignificant point.2. The y axis is hospital reutilization rate, defined as TOTAL number of hospital readmissions + ER visits/person/30 days. This counts multiple admissions/ER visits per index discharge.3. Risk factors included in the analysis are: gender, marital status, depression status, hypertension/diabetes/asthma status, "frequent flier"status, and homelessness Risk factors included in the analysis are: gender, marital status, depression status, hypertension/diabetes/asthma status, "frequent flier" status, and homelessness Slide 47Should hospitals use RED?Slide 48Why Hospitals Should Use REDVolume Opens Beds by decreasing 30 day re-hospitalization/ED use by 30 percentImproves PCP follow-upSatisfaction Improves satisfaction of patients and their familiesImproves community imageBrands the hospital with high qualitySafety National Quality Forum Safe PracticeSafe practice endorsed by IHI, Leapfrog, CMS, TJCExceeds Joint Commission standardsImproves patient "readiness for discharge"Documents the discharge teaching and preparationDocuments patient understanding of the planCost —the business case Saves $412 per subject enrolledAllows physicians to bill higher discharge levelReduces diversion and creates greater capacity for higher revenue patientsImproves relationships with ambulatory providersImproves market share as "preferred provider"* Prepares for change in CMS rules regarding readmission reimbursementSlide 49DisseminationWebsite diagnostics Thousands of worldwide contactsDownloads of AHCP and training manualHundreds of email contactsPR AHRQ webinar—2,200 hospitals signed up>15 national magazine storiesAHRQ Roll -out About 6 hospital beta sites across countryStudying the process of implementation and resultsOffice of Tech Transfer at BU US Business partner132 hospitals now actively engagedIrish International Partner with 60,000 wired bedsSlide 50Barriers to ImplementationNot clear who is responsible for dischargeDischarge receives low priority of inpatient cliniciansMedications are not finalized until late in the hospitalizationFinancial pressure to fill beds as soon as they are emptyMedication reconciliation with the ambulatory electronic health record is often not doneDischarge is relegated to least experienced team membersDischarges often occur in the late in the day when optimal staffing not availableDoing things differently (changing culture) takes lots of time and effortAdding more to already overworked nurses won't workSlide 51Can Health IT assist with providing a comprehensive discharge?Slide 52Using Health IT to Overcome Challenge of RN TimeEmbodied Conversational AgentsEmulate face-to-face communicationDevelop therapeutic allianceEmpathy, gaze, posture, gestureTeach REDDetermine CompetencyCan drill downMaps of CHCsHigh Risk Meds LovenoxInsulinPrednisone taperSlide 53Studies of Nurse-Patient InteractionImage: Image of a nurse pointing to a patient daily medication chart.Slide 54Workstation for Data EntryImage: The workstation is where data about discharge plan is entered to feed the AHCP and LouiseSlide 55Automated Discharge WorkflowImage: Discharge work showingPatient information entered into workstationPaper booklet generated and reviewedBooklet images, indexes, and patient health information downloaded to the kioskPatient—VN interactionIssues displayed for nurse follow-upSlide 56Patient Interacting with LouiseImage: Patient laying in hospital bed reviewing medical documentation with Louise.Slide 57Embodied Conversational Agent http://relationalagents.com/red_demo_4545.wmv (Plugin Software Help)Slide 58Pilot Study: Self-Report Ratings of the Virtual Nurse (mean (SD))Image: questionnaire regarding Louise' usefulness.Slide 59Image: menu selections prompting user to indicate how they are feeling.Slide 60Who Would You Rather Receive Discharge Instructions From?"I prefer Louise, she's better than a doctor, she explains more, and doctors are always in a hurry.""It was just like a nurse, actually better, because sometimes a nurse just gives you the paper and says 'Here you go.' Elizabeth explains everything."Slide 61Agents Could Be More Effective Than PeopleRelies minimally on textEnhances recallProvides redundant channels of informationListeners pay attention to gesturesMore flexible and effective than a videotaped lectureIndividualized, consistent messages, every timeCost effective - less need for clinician timeEasy-to-useNo time limitCan assess competency and understandingCan adapt to address issues of race, gender, ethnicityEnhance learningSlide 62Current Work Ambulatory Safety and Quality (ASQ)Post-discharge web-based system designed to emulate the post-hospital phone callWill have multiple interactions in the days between discharge and first PCP appointmentDesigned to Enhance adherenceMonitor for adverse eventsPrevent adverse events Identifying post-dc "confusion" and rectifyScreening system for who needs 2 day phone callBeginning a trial of this systemSlide 63ConclusionsHospital Discharge is low hanging fruit for improvementRED is NQF Safe PracticeRED: Can be delivered using AHCP toolCan decreased hospital use 30% overall reductionNNT = 7.3Saves $412 per patientHealth IT Could Help could improve deliveryfurther improve cost savings and build the business caseSlide 64Thank you!ContactsProject RED Websitehttp://www.bu.edu/fammed/projectred/Engineered Care Websiteinfo@engineeredcare.comSlide 65Image: Louise cover screenSlide 66Image: Louise Medications screenSlide 67Image: Louise Diagnosis screenSlide 68 Image: Louise Closing screen Current as of December 2009 Internet Citation: Project RED: Reengineering the Hospital Discharge Process (Text Version). December 2009. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/news/events/conference/2009/jack/index.html