Using Patient Activation to Transition Patients from Hospital to Home

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Using Patient Activation to Transition Patients from Hospital to Home May 2014 Mary McLaughlin Davis DNP MSN APRN ACNS-BC CCM Lakewood Hospital Cleveland Clinic

Background Stroke affects an estimated 795,000 people annually in the U.S. - It is one of the highest contributors to Medicare costs (Litchtman et al., 2012). Case Managers as Care Coordinators lead in health care innovation as government and commercial payers impose financial penalties on hospitals and health care providers for quality and patient satisfaction indicators (Coleman, et al., 2004). Case Management can influence avoidable costs and partnership with providers (Jack et al., 2009).

Background Case Manager Key Roles - Care coordinators - Med reconciliation - Arranging physician appointments - Assessing for home safety Ohio Coverdell Stroke Program - State wide Centers for Disease Control Funded - Improve the quality of stroke patients care transitions - Reduce preventable complications - Support the reduction of stroke patients preventable hospital readmissions

Old Changing the Healthcare Relationship New Information Asymmetry Information Symmetry Passive Recipient Active Partner Paternalism Participation Patient Physician Consumer Health Care Team

Significance to Nurses as Care Coordinators Nurses develop strong relationships with patients, and their families Joint Commission 2008 Consensus Stroke Performance measures mandates that nurses educate stroke patients on - Personal risk factors for stroke - Signs and symptoms of stroke, and how to access the Emergency Management System - Stroke prevention - Medication - Follow up care

Project Tools Judith Hibbard s Patient Activation Measure (PAM) - 13 question measurement instrument Eric Coleman s Patient Activation Assessment (PAA) - Four Columns Medication Management Red Flags Medical Follow Up Personal Health Record (PHR)

Levels of the Patient Activation Level 1 Disengaged & Overwhelmed Passive and lack confidence Low knowledge Weak goal orientation Poor adherence my doctor is in charge of my health Level 2 Becoming aware, but still struggling Some knowledge Health is largely out of their control Able to set simple goals I could be doing more Hibbard, Greene, & Overton (2013) Measure Level 3 Taking action Have the key facts Building selfmanagement skills Strive for best practice behavior Goal oriented I m part of my health care team Increasing Levels of Activation Level 4 Maintaining behaviors and pushing further Adopted new behaviors, but may struggle with stress or change Maintaining a healthy lifestyle is a key focus I m my own advocate

Project Findings Demographics: Complete Data Set June Sept 2013 Complete data set was available for 37 (55%) out of 67 patients Age: - 71 years (mean) - 74 years (median) - 32 94 years (range) 18 females and 19 males Length of Stay: - 18 days (mean) - 16 days (median)

Is there a relationship between patients discharge to acute care and nursing homes and their PAM and PAA scores? Initial and Final PAM and PAA scores for various discharge dispositions Discharge Dispositions Average of Initial PAA Average of Final PAA Average of Adm PAM Average of Disch PAM Count of Patients Nursing Home 2.8 5.0 34.4 36.0 8.0 Acute Care 1.0 5.7 41.3 38.0 3.0 Home Care 3.1 7.8 38.5 40.9 13.0 Outpatient Therapy 2.5 8.7 41.2 43.8 6.0 Home 1.3 7.3 40.0 40.1 7.0 Group Average 2.4 7.1 38.5 39.9 37.0 PAA score (pre-teaching first visit compared to post-teaching final visit) improved significantly (P<0.005, paired t-test) Patients with PAA score of 7 and above were discharged to a home-based setting Similarly, patients with a PAM of 40 and above went to home-based setting There was no correlation between initial PAA and PAM scores; At discharge there was a 40% correlation Initial scores (both PAA and PAM) cannot be used to classify or predict discharge dispositions.

PAM Score PAA Score 9 8 7 PAA Score Initial PAA Final PAA 6 5 4 3 2 1 0 Home based (n = 26) Non-home based (n = 11) 42 40 PAM Score Initial PAM Final PAM 38 36 34 32 30 Home based (n = 26) Non-home based (n = 11)

Percentile Case Management and Social Work Assistance with Discharge and Discharge instructions and Preparedness for Discharge 94 92 90 88 86 84 82 80 Case Management & Social Work Discharge June 14 - September 14 95 90 85 80 75 2009 2010 2011 2012 2013 Discharge Instructions and Preparedness for D/C June 14 - September 14 2009 2010 2011 2012 2013 Instrctions Care at Home Extent Felt Ready for D/C Goal Press Ganey Patient Satisfaction Scores Preliminary Results

Readmission Rates less than 30 days June- Sept Stroke Patients discharge home 16 8 6 Percent Percent Percent 2011 2012 2013 Year

Cost Benefit Analysis 2013 Lost CMS Reimbursement due to readmissions $12,500 Social Workers & Administrative Assistant Education Nurse Total Productive Hours 48 260 308 Salary Social Workers & Administrative Assistant Salary Education Nurse $0 $2,296 Overhead and Supplies $1,000 Total $3,296 Payment Loss 2012 $12,500 Return on Project Investment $9,304.00

Analysis of Project Outcomes - Trending toward positive outcomes in Readmission rate Patient satisfaction scores - PAM and PAA useful tools in evaluating Patients safe discharge to home Risk for Readmission

Project Sustainability June 2013 through February 2014 full data set n = 102

Total patients n = 129 126

Care Coordination Team Janet Baker, DNP, APRN, CNS, ACNS- BC, CPHQ, CNE Mary Beth Zeni, ScD, RN Laura Olitsky, DPT Melissa Burkett, LISWs Tricia Marquard RN, BSN, CRRN Molly Getzlaff, RN, BSN Amy Lajack, LSW Sheila Matosky, CNP- BC Nicholas Molley, MBA, MIDS Vinoth K. Ranganathan MSE, MBA, CCRP