Implementation Of A Pulmonary Risk Reduction Clinic (PRRC) In A Veterans Affairs Medical Center To Target High Readmission Rates In Patients With Chronic Obstructive Pulmonary Disease (COPD)

Author(s):  
Paige Parsons ◽  
Linda Nici
2008 ◽  
Vol 15 (7) ◽  
pp. 361-364 ◽  
Author(s):  
Alyson WM Wong ◽  
Wen Q Gan ◽  
Jane Burns ◽  
Don D Sin ◽  
Stephan F van Eeden

BACKGROUND: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is the leading reason for hospitalization in Canada and a significant financial burden on hospital resources. Identifying factors that influence the time a patient spends in the hospital and readmission rates will allow for better use of scarce hospital resources.OBJECTIVES: To determine the factors that influence length of stay (LOS) in the hospital and readmission for patients with AECOPD in an inner-city hospital.METHODS: Using the Providence Health Records, a retrospective review of patients admitted to St Paul’s Hospital (Vancouver, British Columbia) during the winter of 2006 to 2007 (six months) with a diagnosis of AECOPD, was conducted. Exacerbations were classified according to Anthonisen criteria to determine the severity of exacerbation on admission. Severity of COPD was scored using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. For comparative analysis, severity of disease (GOLD criteria), age, sex and smoking history were matched.RESULTS: Of 109 admissions reviewed, 66 were single admissions (61%) and 43 were readmissions (39%). The number of readmissions ranged from two to nine (mean of 3.3 readmissions). More than 85% of admissions had the severity of COPD equal to or greater than GOLD stage 3. The significant indicators for readmission were GOLD status (P<0.001), number of related comorbidities (OR 1.47, 95% CI 1.10 to 1.97; P<0.009) and marital status (single) (OR 4.18, 95% CI 1.03 to 17.02; P<0.046). The requirement for social work involvement during hospital admission was associated with a prolonged LOS (P<0.05).CONCLUSIONS: The results of the present study show that disease severity (GOLD status) and number of comorbidities are associated with readmission rates of patients with AECOPD. Interestingly, social factors such as marital status and the need for social work intervention are also linked to readmission rates and LOS, respectively, in patients with AECOPD.


2013 ◽  
Vol 96 (4) ◽  
pp. 1302-1309 ◽  
Author(s):  
G. Hossein Almassi ◽  
A. Laurie Shroyer ◽  
Joseph F. Collins ◽  
Brack Hattler ◽  
Muath Bishawi ◽  
...  

2019 ◽  
pp. 089719001988944 ◽  
Author(s):  
Anthony J. Gentene ◽  
Maria Rose Guido ◽  
Brittany Woolf ◽  
Amber Dalhover ◽  
Timmi Anne Boesken ◽  
...  

Background: Chronic obstructive pulmonary disease (COPD) is a major contributor of morbidity and mortality in the United States resulting in high hospitalization and readmission rates. For health systems, identifying an effective strategy to reduce COPD readmissions has remained difficult. Multiple COPD care bundles have been developed with varying degrees of success. Bundles that were multidisciplinary and included pharmacists were successful in reducing readmissions. Objective: To describe and assess a multidisciplinary, 5-element, COPD care bundle that was implemented in an academic, urban safety-net hospital to reduce COPD readmissions and the role of pharmacists in bundle implementation. Methods: A multidisciplinary team collaborated to develop a 5-element COPD care bundle that met unmet patient needs. The bundle elements included the following, with pharmacy responsible for the first two: optimization of COPD inhalers, 30-day supply of insurance-compatible inhalers, individualized patient inhaler teaching, provision of standardized discharge instructions, and scheduling of a 15-day discharge follow-up appointment. Bundle was implemented with multiple Plan-Do-Study-Act (PDSA) cycles to develop intra- and interdepartment processes. Results: Prior to bundle implementation, the health system COPD readmission rates were 22.7%. Reliable implementation of the bundle reduced readmissions to 14.7% over a 6-month period. Pharmacy adherence to completion of the bundle was over 95% over 2 years of bundle use. Conclusion: Pharmacists have a crucial role in hospital-based transitions of care to reduce COPD readmissions.


2019 ◽  
pp. 089719001986724
Author(s):  
Divita Singh ◽  
Germin Fahim ◽  
Hoytin Lee Ghin ◽  
Scott Mathis

Purpose: To analyze effect of pharmacist-conducted medication reconciliation on 30-day readmission rates in chronic obstructive pulmonary disease (COPD) and identify common medication errors among patient with readmissions. Methods: Pharmacists were educated on discharge medication reconciliation for patients with COPD. A retrospective chart review was conducted on patients who underwent pharmacist-conducted discharge medication reconciliation to determine 30-day readmissions. Medication errors analyzed included medication omissions and dose or frequency errors. Previously collected internal research without pharmacist-conducted medication reconciliation served as the control. Results: There were 65 patients in the control group and 50 in the intervention group. About 25% of patients in the control group and 26% of patients in the intervention group had any cause readmissions within 30 days of discharge ( P = .87). Both the control and the intervention group had similar COPD-related readmissions of 12.3% and 12.6%, respectively. Medication dose or frequency errors consisted of 68.9% and 46.7% of total errors in the control and the intervention groups, respectively. Long-acting muscarinic antagonist (LAMA) or long-acting beta 2-agonist (LABA) were the most common drug classes to be incorrectly dosed or omitted at discharge. In the intervention group, 30 errors were identified. Due to inability to coordinate discharges, pharmacists intervened on 13 errors, 7 of which were accepted by the prescriber. Conclusion: Pharmacist-conducted medication reconciliation at discharge did not affect 30-day readmission rates of patients with COPD. Confounding factors included a small sample size, passive pharmacist education, and discharge issues. The most common medication errors at discharge were dosing or frequency errors of LABAs or LAMAs.


2009 ◽  
Vol 16 (4) ◽  
pp. e43-e49 ◽  
Author(s):  
Katayoun Bahadori ◽  
J Mark FitzGerald ◽  
Robert D Levy ◽  
Tharwat Fera ◽  
John Swiston

BACKGROUND: Acute respiratory exacerbations are the most frequent cause of medical visits, hospitalization and death for chronic obstructive pulmonary disease (COPD) patients and, thus, exert a significant social and economic burden on society.OBJECTIVE: To identify the risk factors associated with hospital readmission(s) for acute exacerbation(s) of COPD (AECOPD).METHODS: A review of admission records from three large urban hospitals in Vancouver, British Columbia, identified 310 consecutive patients admitted for an AECOPD between April 1, 2001, and December 31, 2002. Logistic regression analysis was performed to identify risk factors for readmissions following an AECOPD.RESULTS: During the study period, 38% of subjects were readmitted at least once. The mean (± SD) duration from the index admission to the first readmission was 5±4.08 months. Comparative analysis among the three hospitals identified a significant difference in readmission rates (54%, 36% and 18%, respectively). Logistic regression analysis revealed that preadmission home oxygen use (OR 2.55; 95%CI 1.45 to 4.42; P=0.001), history of a lung infection within the previous year (OR 1.73; 95% CI 1.01 to 2.97; P=0.048), other chronic respiratory disease (OR 1.78; 95% CI 1.06 to 2.99; P=0.03) and shorter length of hospital stay (OR 0.97; 95% CI 0.945 to 0.995; P=0.021) were independently associated with frequent readmissions for an AECOPD.CONCLUSIONS: Hospital readmission rates for AECOPD were high. Only four clinical factors were found to be independently associated with COPD readmission. There was significant variability in the readmission rate among hospitals. This variability may be a result of differences in the patient populations that each hospital serves or may reflect variability in health care delivery at different institutions.


Sign in / Sign up

Export Citation Format

Share Document