Transitions. Rita Shane, Pharm.D., FASHP, FCSHP
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1 Ensuring Safe Medication Transitions Rita Shane, Pharm.D., FASHP, FCSHP Chief Pharmacy Officer Cedars-Sinai Medical Center Los Angeles, California Assistant Dean, Clinical Pharmacy UCSF School of Pharmacy
2 Background Medication reconciliation (med rec) is intended to ensure the accuracy of the medication i list at each patient encounter Medication lists are entered into electronic health records (EHR) by a variety of individuals id across different healthcare settings These lists are used to create hospital medication orders resulting in continuation of potentially inaccurate and/or incorrect medications
3 Background Clinicians rely on the information and prescribe medications that are listed even though the information may be inaccurate Adoption of electronic health records have increased the potential for harmful medication errors with the unintended consequence of creating med wreck A medication order is a sentence If any element: drug, dose, dosage form, route, frequency, duration are incorrect, incomplete or unclear, patient harm can result
4 Ensuring the Accuracy of the Medication Medication Reconciliation List
5 Evidence 54-86% of patients have medication discrepancies when admitted to the hospital with an estimated 3.3 discrepancies or errors/patient 1,2 Rates of inpatient medication errors range from 45% to 76% due to inaccuracies in medication histories and reconciliation; most errors occur on admission % of patients experienced at least 1 medication discrepancy or error post-discharge % of patients experienced an adverse event within 3 weeks of hospital discharge 67% were attributed to medications and 12% of the adverse drug events were preventable 8
6 Evidence Pharmacist-led medication reconciliation to reduce discrepancies in transitions of care in Spain Medication reconciliation performed at admission and discharge over 3 yr 2,473 patients (pts) at admission and 1150 pts at discharge 886 discrepancies in 446 pts 1.94/pt 93% recommendations accepted by MD Conclusion: Rate lower than other studies; computerized history would decrease number of errors Bandres A, Mendoza AM, Gutierrez NF, et al. Int J Clin Pharm (6):
7 Patient Understanding and Adherence 50 50% of patients do not take their medications as prescribed $100 billion/yr in medication- related admissions Mitzy Medsyn accessed 8/1/14. GRE,accessed 8/7/14.
8 Mitzy s Hospitalizations Pharmacy Ensuring safe medication transitions 8
9 ? Adverse Drug Event Selfie by Mitzy 9
10 Post-Discharge 10
11 Transitions of Care Model for High Risk Patients Identify High-Risk Patients During Admission Validate Medication History Assess Adherence and Literacy Educate Patient Post- Discharge Follow-Up within 72 Hr -Med Rec -Adherence & Literacy Reinforcemen t -Education Notify MD Regarding Drug- Related Problems and Recommendations Additional Calls up to 30 Days Based on Risk Assessment High risk:> 65, 10 or more chronic medications, g,, therapeutic duplicates, Congestive Heart Failure (CHF), anticoagulants-recently added
12 Prior to Admission Medication History Drug-Related Problems in High Risk Patients (Errors or Discrepancies) November 2011 March 2013 Drug-Related Problems (DRPs) Resolved: 6,184 (803 patients) Average : 77/ 7.7/patient t 54% of resolved DRPs were classified as life-threatening or serious 35% of inpatient orders needed to be corrected Based on risk stratification algorithm only 25% of patients had both high medication adherence and literacy
13 Prior to Admission (PTA) Drug-Related Problems (DRPs) Examples Medication on PTA List Drug-Related Problem DRP Type Capacity for Harm Flecainide PTA List: Med not listed on PTA med list Finding: Pt reports taking flecainide 50 mg BID Omission of Medication Life-Threatening Clopidogrel PTA List: Med not listed on PTA med list Finding: Pt reports taking Plavix 75 mg daily Omission of Medication Serious Methotrexate PTA list: methotrexate 10mg daily Finding: Pt reports taking 10mg every Sunday Wrong frequency Life-Threatening Mycophenolate PTA List: Mycophenolate 360 mg BID Finding: Pt reports taking 720 mg BID Wrong Dose Serious 13
14 Assessing Medication i Adherence and Literacy Adherence 1. Do you ever forget to take your medicine? 2. Are you careless at times about taking gyour medicine? 3. When you feel better do you sometimes stop taking your medicine? 4. Sometimes if you feel worse when you take the medicine, do you stop taking it? Literacy 1. Name of medicine? 2. Indication of medicine? 3. Strength of medicine? 4. Frequency/directions of medicine?
15 CSMC MedAL Algorithm Medication Adherence and Literacy Score Medication Literacy (Scale 0-4) Medica ation Adh herence (Scale 0-4 4) High Adherence No Post DC Follow- (4 points) up Intermediate (2-3 points) Low Adherence (0-1 point) High Literacy Intermediate Low Literacy (4 points) (2-3 points) (0-1 point) No Post DC Followup Perform Post DC Follow-up No Post DC Follow-up Score 6: No Post DC Follow-Up Score <6: Perform Post DC Follow-Up Perform Post DC Follow-up Perform Post DC Follow-up Perform Post DC Follow-up Perform Post DC Follow-up DC= Discharge from hospital 1. Impact of Pharmacist Post-discharge Phone Calls on Hospital Readmission and Patient Medication Literacy and Adherenc 2. Medication Adherence and Literacy as Predictors of Hospital Readmission. American Geriatrics Society Meeting Transitions trifecta: calibrating the severity of drug related problems, medication adherence, and literacy in a high risk populatio [Abstract]. Presented at ASHP The Midyear on December 10, 201
16 Use of the MedAL Algorithm to Identify Pts At Risk for 30-Day Readmission Primary objective Determine if the Medication i Adherence and Literacy (MedAL) algorithm effectively identifies patients at risk of readmission within 30 days Secondary objective Determine if post-discharge interventions impact 30-day readmission rates for pts identified by the MedAL algorithm
17 Use of the MedAL Algorithm to Identify Pts At Risk for 30-Day Readmission Retrospective Cohort Study: 278 pts Pts admitted to hospitalist service and identified as high risk Primary objective: High literacy/adherence (n=115) Determine if the Medication i 30 day readmission: 10% (12/115) Adherence and Literacy Low literacy/adherence (n=163) (MedAL) algorithm 30 day readmissions: 24% (39/143) effectively identifies patients at risk of readmission within 30 days Secondary objective: Determine if post-discharge (post D/C) follow-up impacts 30-day readmission rates for pts identified by MedAL algorithm Post-D/C follow-up completed (n=102) 30 day readmission: 14% (14/102) Post-D/C follow-up not able to complete (n=61) 30 day readmission 41% (26/61) 17
18 Use of the MedAL to Identify Pts At Risk for 30-Day Readmission i Value as Predictive Indicator The odds of readmission for the group identified as needing post-discharge follow-up was 2.8 times greater than for the group identified d as not needed d post-discharge follow-up (95% CI , p=0.0045) Conclusion: The MedAL algorithm can serve as a tool to identify patients that are at risk for readmission within 30 days. Post- discharge follow-up of patients identified by the MedAL algorithm may reduce 30-day admission rates.
19 Post-Discharge Follow Up: G.O. PATIENT Goal: Ensure the patient understands the postdischarge medication regimen and how it differs from the preadmission medication regimen. Objective: Review the medication list with the patient. Highlight and explain discontinued, changes or new medications compared with the prior-to-admission (PTA) list and the reasons for those changes.
20 Post-Discharge Follow Up: G.O. PATIENT 1. Phone the patient for post-discharge follow-up. Set the stage 2. Assess medication adherence and literacy (MedAL) 3. Teach pt re: changes to medications since admissions and provide education 4. Instruct what to watch for and confirm medications picked up 5. Evaluate using teach back; determine need for additional follow up using teach-back 6. Notify yphysician and provide treatment plan. 7. Touch base with patient for additional follow-up, if needed
21 Resolution of Post-Discharge Drug-Related Problems (DRPs) Post-discharge Medication Reconciliation January 2013 June 2013 DRPs Resolved: 601 (207 patients) Average: 2.9 DRPs/patient 58% of patients had discrepancies between their discharge medication list and what they were taking 33% of patients were taking more medications than were prescribed* p Estimated 16% of patients would have been readmitted base on physician py evaluation** *Excludes vitamins, herbals, OTC supplements **Validated by hospitalist physicians
22 Examples of Pharmacist Post-Discharge Follow-up Reason for Admission Drug-Related Problems Identified Adverse Outcome Post-Discharge and Pharmacist Prevented Intervention 54 y/o w/ HTN & DVT Issue discovered: Pt had self-discontinued Avoided potential admitted for sickle cell crisis warfarin, amlodipine, and carvedilol & left parietal stroke Intervention: Pharmacist contacted MD and confirmed that warfarin and anti-hypertensives should be re-started. Pharmacist educated pt on medications and instructed pt to not adjust any med w/o speaking to MD thromboembolism, readmission, and/or death 92 y/o w/ altered mental Issue discovered: Pt had continued taking Avoided potential drug status found to have a UTI & toxic digoxin level, also w/ arrhythmias & low blood medications that had been stopped, including digoxin, metoprolol, and zolpidem toxicity, lifethreatening arrhythmias, pressure Intervention: Instructed patient to d/c these medications recurrence of confusion, readmission, and/or death 22
23 Prospective Study of 30 Day Readmission Rates for High-Risk*Patients Who Received Post-Discharge Follow Up Relative Risk Reduction: 45% Re-admission Rate 22% (18/82) Did Not Receive F/U Call 12% (5/41) Odds Ratio: 2.1 (CI ) * High-risk: 10 chronic prescription medications, anticoagulants, diagnosis of CHF, AMI, history 23 of transplant, on narrow therapeutic index drugs e.g. valproic acid, phenytoin, lithium, digoxin.
24 Patient Safety Imperatives Medication lists are frequently inaccurate and can lead to harm Electronic health records enable inaccurate prescriptions to be continued Ensuring the accuracy of the medication list at each transition of care is essential, especially when patients are admitted to and discharged from the hospital setting Hospital pharmacies should be responsible for ensuring the medication list is accurate upon admission For high risk pts, pharmacists should conduct post- discharge follow up to prevent adverse drug events and admissions 24
25 References 1. Cornish PL, Knowles SR, Marchesano R, et al. Unintended medication discrepancies at the time of hospital admission. Arch Intern Med. 2005;165(4): Sharma AN, Dvorkin R, Tucker V, Margulies J, Yens D, Rosalia Jr. A. Medical Reconciliation in Patients Discharged from the Emergency Department. The Journal of Emergency Medicine. 2012;43(2): Sen S; Siemianowski, L. Implementation of a pharmacy technician centered medication reconciliation program at an urban teaching medical center. Am J Health-Syst Pharm. 2014; 71: Coleman EA, Smith JD, Raha D, Min SJ. Posthospital medication discrepancies: prevalence and contributing factors. Arch Intern Med. 2005; 165: Vira T, Colquhoun M, Etchells E. Reconcilable differences: correcting medication errors at hospital admission and discharge. Qual Saf Health Care. 2006;15(2): doi: /qshc Wong JD, Bajcar JM, Wong GG, et al. Medication Reconciliation at Hospital Discharge: Evaluating Discrepancies. The Annals of Pharmacotherapy. 2008;42(10): Kilcup MShl M, Schultz D, DCarlson J, et al. lpostdischarge pharmacist medication i reconciliation: i Impact on readmission i rates and financial savings. J Am Pharm Assoc. 2003; 53: Forster AJ, Murff HJ, Peterson JF, Gandhi TK, Bates DW. The incidence and severity of adverse events affecting patients after discharge from the hospital. Ann Intern Med 2003; 138:
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