title: Using continuous quality improvement techniques to determine the causes of hospital readmission.
abstract: This 6-month retrospective study provided our medical center with a profile of the population of patients readmitted within 31 days of discharge. We found that chronic illness and age greater than 65 years were the high risk factors related to patient readmissions. These 2 attributes are common in critical care patients. In addition, the study indicated that data input and collection procedures must be correctly followed in order to have accurate information on admission and readmission. Accurate information is important to management and external agencies. Accuracy is also important so that future problems with continuous quality improvement can be recognized and resources properly assigned. Recommendations for improving the data collection and reporting procedures and for improving the readmission rates were made to management, to the quality improvement coordinator, and to the quality improvement/risk management director.
authors.affiliation: Malcolm Grow Medical Center, Andrews Air Force Base, MD, USA.
authors.forename: J
authors.initials: J
authors.lastname: Olsen
authors.forename: J R
authors.initials: JR
authors.lastname: Coleman
mesh_terms: D000367:Age Factors; D003422:Critical Care; D003625:Data Collection; D006772:Hospitals, Military / Q000706:statistics & numerical data*; D006801:Humans; D008396:Maryland / Q000453:epidemiology; D017063:Outcome Assessment, Health Care; D010348:Patient Care Team; D010353:Patient Education as Topic; D010359:Patient Readmission; D018579:Patient Selection; D011340:Problem Solving; D012307:Risk Factors; D017749:Total Quality Management / Q000379:methods*; D014481:United States / Q000453:epidemiology