Improving Outpatient Antibiotic Therapy to Reduce Readmission Rates

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Dr. Jose Cadena and Dr. Amruta Parekh from the University of Texas Health Science Center aim to decrease unplanned readmission rates for patients receiving Outpatient Antibiotic Therapy (OPAT) by 30% by December 2008 at ALMVA hospital. The team analyzed failure rates, including inadequate follow-up and central line complications, to develop a comprehensive quality improvement plan. They identified key areas for intervention and established a goal to enhance patient outcomes through coordinated efforts.


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  1. Decreasing the Unplanned Readmission Rate of Patients receiving Outpatient Antibiotic Therapy(OPAT) Dr. Jose Cadena Dr. Amruta Parekh University of Texas Health Science Center at San Antonio San Antonio, TX Educating for Quality Improvement & Patient Safety

  2. CONTACT Jose Cadena, M.D. (210) 567-1871 cadenazuluag@uthscsa.edu Educating for Quality Improvement & Patient Safety

  3. TEAM PHYSICIANS Chief / Medical Service Jan Patterson, MD Infectious Disease Fellow Jose Cadena, MD FACILITATOR Amruta Parekh, MD, MPH NURSING Irene Cataldo, R.N. Theresa Gore, RN. PHARMACY Kelly Echeverria PharmD TECH/STATISTICAL SUPPORT Wayne Fischer, MS, PhD Educating for Quality Improvement & Patient Safety

  4. LIST OF CUSTOMERS PATIENTS PROVIDERS NURSING PHARMACY HOSPITAL ADMINISTRATION Educating for Quality Improvement & Patient Safety

  5. AIM STATEMENT To decrease the unplanned readmission rate of patients receiving outpatient antibiotic therapy (OPAT) due to infection, line complications or adverse drug reactions by 30% by December 2008 at ALMVA hospital . Educating for Quality Improvement & Patient Safety

  6. What was the VA working with? We retrospectively evaluated the failures among patients receiving OPAT at the ALMVA over a 3 month period. Rate of Adequate Follow up 32% Rate of readmission 44% (54% of which within 2 weeks) Rate of Central Line Complication 12% Rate of Antibiotic Complications(rash, C difficile associated disease-CDAD, failure) Patients alive at end of therapy 36% 84% Patients with microbiological diagnosis 68%

  7. PROCESS FLOW - Pre Intervention Educating for Quality Improvement & Patient Safety

  8. CAUSE & EFFECT DIAGRAM Coordination of efforts Educating for Quality Improvement & Patient Safety

  9. BACKGROUND Outpatient Antibiotic Therapy (OPAT) is an alternative to inpatient care. It is safe and effective when used properly. Proper assessment of the patients required: OPAT indication, social situation and comorbidities Ordering physician: Should be aware of the team work, communication, monitoring and outcome measurements! Patient should be informed of his responsibilities and plan to follow up. Antibiotics: Proper choice, dosing and monitoring. Initiated in hospital or clinic. Tice et al. Clin Infect Dis 2004;38: 1651 72 Educating for Quality Improvement & Patient Safety

  10. PERTINENT POINTS FROM LITERATURE OPAT is a complex process. A Healthcare Failure Mode Effect Analysis has shown that OPAT may have 6 processes, 67 sub-processes and 217 possible failures. Our project was a first step to standardize and improve the process. Gilchrist M et al. J Antimicrob Chemotherapy 2008; 62: 177 83. Educating for Quality Improvement & Patient Safety

  11. Mandatory ID consultation for OPAT Infectious diseases consultation results in change in management of 88.6% patients considered candidates for OPAT Mandatory ID consultation decreases cost by $760 per patient. High success rate of therapy (97%) Sharma R, Loomis W, Brown R. Am J Med Sci 2005;330:60 64.

  12. But remember.. OPAT may have 6 processes, 67 sub- processes and 217 possible failures. Gilchrist M et al. J Antimicrob Chemotherapy 2008; 62: 177 83.

  13. How Infectious Disease Physician and ID PharmD: Review cases to make sure that therapy is appropriate Ensure ID clinic follow up when appropriate Address complications in the clinic Review the patient to make sure they are able to care for themselves. Discuss with team and patient goals and responsibilities of therapy. Constant communication between MD, Pharm D, RN and home health.

  14. Preintervention data of readmissions during treatment 102.8 UCL 81.8 82.8 62.8 % readmitted on Tx 42.8 CL 30.8 22.8 2.8 -17.2 LCL -20.2 -37.2 January February March April May June July Months

  15. PROCESS FLOW - Post Intervention Intervention Decision diamonds Educating for Quality Improvement & Patient Safety

  16. Postintervention data of readmissions during treatment Preintervention 102.8 Postintervention UCL 81.8 82.8 62.8 49.9 % readmitted on Tx 42.8 CL 30.8 22.8 16.7 2.8 -16.6 -17.2 LCL -20.2 -37.2 January February March April May June July August September October November December

  17. Readmissions within 30 Days Readmissions at 3 months 180.0 Pre intervention: 28.9 per 1000 OPAT days Post intervention: 12.1 per 1000 OPAT days 160.0 Readmits / 1000 Pt-Days of Treatment 140.0 120.0 100.0 UCL=86.5409 80.0 60.0 40.0 20.0 CL=16.7683 0.0 LCL=0.0000 Jan 2008Feb 2008Mar 2008 Apr 2008May 2008Jun 2008 Jul 2008 Aug 2008Sep 2008Oct 2008Nov 2008Dec 2008 Month Pre intervention OPAT days 693 Post intervention OPAT days 663

  18. Rate of completion of parental therapy Preintervention Postintervention Total Number 47 37 Completed Treatment 26 (55%) 30 (81%) Did not complete 21 (45%) 7 (19%) p=0.04 Postintervention rate of completion of parental therapy was better

  19. Complications Requiring Readmissions Pre intervention N: 47 3 3 4 (2/2) 4 8 2 2 17 (36%) Post intervention N: 37 0 0 0 1 1 1 2 4 (13%) CHF/Volume overload ARF, electrolyte disturbance PICC line Infection/removal Amputations Worsening Infection SJS/Severe rash/toxicity All-Cause Mortality Total Number of patients with serious complications requiring readmission reduced in the post intervention period

  20. Complications (overall) N:47 3 (6%) 3 (6%) 4 (9%) 4 (9%) 6 (12%) 8 (17%) 2 (4%) 2 (4%) 32 N:37 2 (5%) 0 2 (5%) 1 (3%) 5 (14%) 1 (3%) 1 (3%) 2 (5%) 14 Acute Renal Failure Congestive Heart Failure PICC problems Amputations Unrelated readmissions Worsening Infection SJS/Severe rash/toxicity All-Cause Mortality Total

  21. Follow up and readmissions Pre intervention Post intervention P value 0.7 21/39 (54%) 21/36 (62%) Follow up at 7 days (labs)* Follow up within 2 weeks (MD) * 22/36 (61%) 26/35 (74%) 0.2 5/37 (14%) 0.049 Readmitted during treatment Readmitted within 3 months 15/47 (32%) 8/37 (22%) 0.043 20/47 (43%) *Denominator: eligible patients.

  22. RETURN ON INVESTMENT % Patients Readmitted 43% 22% Admissions / Month* 3.2 1.7 Average LOS Pre intervention Post intervention 14 days Cost - Physician FTE (2/8) ($43,849) Potential Admissions Avoided / Yr 18 Potential Admission Days Avoided / Yr** 252 Cost Savings (if only regular bed days avoided would be higher for higher level of care) Cost savings cost physician $428,400 $384,551 Return on investment 89% *Assume 90 patients per year ** Hospital day cost 1700$ Educating for Quality Improvement & Patient Safety

  23. WHERE ARE WE GOING? Program was transiently discontinued pending resolution of funding issues. There was a proposal to create a position for an ID physician to supervise the process and was submitted to the hospital directives April 2009: Approved position. Recruitment completed. Plan to restart program in July 2009. 18 16 15.56 UCL 14.49 14 Number on Tx 12 10 8 7.40 CL 6 6.71 4 2 0 Date/Time/Period Educating for Quality Improvement & Patient Safety

  24. CONCLUSIONS ID physician direction Decreased complications and readmission Cost-effective and cost-saving Improved quality and patient safety Most complications could be managed as outpatient Process was initially labor intensive but rewarding Further improvement is required for patients with less prolonged hospital stay. Educating for Quality Improvement & Patient Safety

  25. QUESTIONS? Educating for Quality Improvement & Patient Safety

  26. Educating for Quality Improvement & Patient Safety

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