Early Discharge Planning and Improved Care Transitions: Pre-Admission Assessment for Readmission Risk in an Elective Orthopedic and Cardiovascular Surgical Population
Author(s) -
Brenda Ohta,
Ana Mola,
Peri Rosenfeld,
Shauna Ford
Publication year - 2016
Publication title -
international journal of integrated care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.083
H-Index - 32
ISSN - 1568-4156
DOI - 10.5334/ijic.2260
Subject(s) - medicine , orthopedic surgery , reimbursement , health care , usability , emergency medicine , quality management , discharge planning , risk assessment , physical therapy , odds , population , medical emergency , family medicine , logistic regression , nursing , surgery , operations management , management system , computer security , environmental health , human–computer interaction , computer science , economics , economic growth
Background/Methods: Readmission prevention is a marker of patient care quality and requires comprehensive, early discharge planning for safe hospital transitions. Effectively performed, this process supports patient satisfaction, efficient resource utilization, and care integration. This study developed/tested the utility of a predictive early discharge risk assessment with 366 elective orthopedic/cardiovascular surgery patients. Quality improvement cycles were undertaken for the design and to inform analytic plan. An 8-item questionnaire, which includes patient self-reported health, was integrated into care managers’ telephonic pre-admission assessments during a 12-month period. Results: Regression models found the questionnaire to be predictive of readmission (p ≤ .005; R 2 = .334) and length-of-stay (p ≤ .001; R 2 = .314). Independent variables of “lives-alone” and “self-rated health” were statistically significant for increased readmission odds, as was “self-rated health” for increased length-of-stay. Quality measures, patient experience and increased rates of discharges-to-home further supported the benefit of embedding these questions into the pro-active planning process. Conclusion: The pilot discharge risk assessment was predictive of readmission risk and length-of-stay for elective orthopedic/cardiovascular patients. Given the usability of the questionnaire in advance of elective admissions, it can facilitate pro-active discharge planning essential for producing quality outcomes and addressing new reimbursement methodologies for continuum-based episodes of care.
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