We have located links that may give you full text access.
Predictors of hospital readmissions in internal medicine patients: Application of Andersen's Model.
International Journal of Health Planning and Management 2018 September 18
OBJECTIVE: This study aimed to identify predictors of internal medicine patients' readmission to hospital, using Andersen's behavioral model.
METHODS: This prospective cohort study included 2622 patients aged ≥18 years, who were admitted to internal medicine wards at a university hospital between 1 February 2015 and 31 January 2016. Independent variables were divided into four groups (predisposing, enabling, need, and utilization), based on Andersen's model, and included in stepwise logistic regression analysis.
RESULTS: Younger age, male sex, a main diagnosis of neoplasm, longer length of stay, higher comorbidity scores, and weaker coping ability predicted all readmission. Predictors of unplanned readmission included having someone to help at home following discharge, comorbidity scores, and length of stay. Predictors of unplanned, related, and preventable readmissions included having someone to help at home following discharge, having a regular physician, and the main diagnosis at discharge. The most powerful predictors influencing readmission were need-related variables.
CONCLUSION: Although some predictors of readmission were unalterable, they could be used to identify high-risk patients. Innovative approaches targeting discharge planning and postdischarge care for patients with high comorbidity scores and long length of stay could reduce internal medicine patients' unplanned readmission.
METHODS: This prospective cohort study included 2622 patients aged ≥18 years, who were admitted to internal medicine wards at a university hospital between 1 February 2015 and 31 January 2016. Independent variables were divided into four groups (predisposing, enabling, need, and utilization), based on Andersen's model, and included in stepwise logistic regression analysis.
RESULTS: Younger age, male sex, a main diagnosis of neoplasm, longer length of stay, higher comorbidity scores, and weaker coping ability predicted all readmission. Predictors of unplanned readmission included having someone to help at home following discharge, comorbidity scores, and length of stay. Predictors of unplanned, related, and preventable readmissions included having someone to help at home following discharge, having a regular physician, and the main diagnosis at discharge. The most powerful predictors influencing readmission were need-related variables.
CONCLUSION: Although some predictors of readmission were unalterable, they could be used to identify high-risk patients. Innovative approaches targeting discharge planning and postdischarge care for patients with high comorbidity scores and long length of stay could reduce internal medicine patients' unplanned readmission.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
A Guide to the Use of Vasopressors and Inotropes for Patients in Shock.Journal of Intensive Care Medicine 2024 April 14
Diagnosis and Management of Cardiac Sarcoidosis: A Scientific Statement From the American Heart Association.Circulation 2024 April 19
Essential thrombocythaemia: A contemporary approach with new drugs on the horizon.British Journal of Haematology 2024 April 9
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app