Literature DB >> 19886100

Factors influencing hospital readmission rates after acute medical treatment.

Z Shalchi1, S Saso, H K Li, E Rowlandson, R C Tennant.   

Abstract

It is a concern that increasing pressure to diagnose, treat and discharge patients rapidly is leading to unacceptably high readmission rates. Readmissions were studied over a two-month period. Patients were identified through the hospital coding system, and electronic discharge summaries provided details of each admission. In total, 69 readmissions were identified, representing 4.34% of medical admissions. Readmitted patients were older than those with single admissions (median age 75 and 71 years, respectively; p < 0.05). Initial length of stay was greater in those patients who would go on to be readmitted (median six days; single admission, two days; p < 0.0001). Seventy-one per cent of readmissions were deemed avoidable, with discharge before conclusive therapy being the leading factor implicated (56%). Readmission is more likely in older patients with complex care needs. Rapid throughput of patients is not associated with readmission. The majority of readmissions can potentially be avoided with judicious medical care.

Entities:  

Mesh:

Year:  2009        PMID: 19886100      PMCID: PMC4953449          DOI: 10.7861/clinmedicine.9-5-426

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  8 in total

Review 1.  Proportion of hospital readmissions deemed avoidable: a systematic review.

Authors:  Carl van Walraven; Carol Bennett; Alison Jennings; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2011-03-28       Impact factor: 8.262

2.  Summary of STARNet: Seamless Transitions and (Re)admissions Network.

Authors:  Katherine A Auger; Tamara D Simon; David Cooperberg; James Gay; Dennis Z Kuo; Michele Saysana; Christopher J Stille; Erin Stucky Fisher; Sowdhamini Wallace; Jay Berry; Daniel Coghlin; Vishu Jhaveri; Steven Kairys; Tina Logsdon; Ulfat Shaikh; Rajendu Srivastava; Amy J Starmer; Victoria Wilkins; Mark W Shen
Journal:  Pediatrics       Date:  2014-12-08       Impact factor: 7.124

3.  Frequent identical admission-readmission episodes are associated with increased mortality.

Authors:  Christopher H Fry; David Fluck; Thang S Han
Journal:  Clin Med (Lond)       Date:  2021-07       Impact factor: 2.659

4.  Current Trends in Readmission Prediction: An Overview of Approaches.

Authors:  Kareen Teo; Ching Wai Yong; Joon Huang Chuah; Yan Chai Hum; Yee Kai Tee; Kaijian Xia; Khin Wee Lai
Journal:  Arab J Sci Eng       Date:  2021-08-16       Impact factor: 2.807

5.  Feasibility and evaluation of a pilot community health worker intervention to reduce hospital readmissions.

Authors:  Marguerite E Burns; Alison A Galbraith; Dennis Ross-Degnan; Richard B Balaban
Journal:  Int J Qual Health Care       Date:  2014-04-16       Impact factor: 2.038

6.  Impact of discharge planning decision support on time to readmission among older adult medical patients.

Authors:  Kathryn H Bowles; Alexandra Hanlon; Diane Holland; Sheryl L Potashnik; Maxim Topaz
Journal:  Prof Case Manag       Date:  2014 Jan-Feb

7.  Potentially Avoidable Readmissions in United States Hemodialysis Patients.

Authors:  Anna T Mathew; Lisa Rosen; Renee Pekmezaris; Andrzej Kozikowski; Daniel W Ross; Thomas McGinn; Kamyar Kalantar-Zadeh; Steven Fishbane
Journal:  Kidney Int Rep       Date:  2017-11-03

8.  Towards a patient journey perspective on causes of unplanned readmissions using a classification framework: results of a systematic review with narrative synthesis.

Authors:  R G Singotani; F Karapinar; C Brouwers; C Wagner; M C de Bruijne
Journal:  BMC Med Res Methodol       Date:  2019-10-04       Impact factor: 4.615

  8 in total

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