Literature DB >> 10120855

Predictors of hospital readmission. A meta-analysis.

K L Soeken1, P A Prescott, D G Herron, J Creasia.   

Abstract

Summarizing the results of research related to identifying potential predictors of hospital readmissions has been difficult because of conflicting results across studies. Using the techniques of meta-analysis, the results from 44 studies were examined in the present study. Overall, the mean readmission rate was 27%, with significant differences based on patient diagnosis. Although diagnosis, age, initial length of hospital stay, and prior use of hospital resources were related to readmission, the strength of the relationship is trivial. Combining data from 12 intervention studies designed to reduce readmission indicated that the overall treatment effect was not significant. Further research is needed to determine demographic, clinical, and social predictors of readmission if strategies are to be developed to reduce readmission and the resulting health care costs.

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Year:  1991        PMID: 10120855     DOI: 10.1177/016327879101400302

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  10 in total

1.  [Clinical-administrative databases: information that adds value to the investigation of re-admissions in the elderly population].

Authors:  Enrique Ramalle-Gómara; María-Josefa Gilde Gómez-Barragán
Journal:  Aten Primaria       Date:  2011-02-02       Impact factor: 1.137

2.  Developing strategies for predicting and preventing readmissions in vascular surgery.

Authors:  Benjamin S Brooke; Randall R De Martino; Micah Girotti; Justin B Dimick; Philip P Goodney
Journal:  J Vasc Surg       Date:  2012-06-26       Impact factor: 4.268

3.  Unplanned early hospital readmissions in a vascular surgery population

Authors:  Alexandra Papadopoulos; Sue Devries; Janice Montbriand; Naomi Eisenberg; Charles de Mestral; Graham Roche-Nagle
Journal:  Can J Surg       Date:  2019-12-01       Impact factor: 2.089

4.  Risk factors for 30-day hospital readmission in patients ≥65 years of age.

Authors:  Marc D Silverstein; Huanying Qin; S Quay Mercer; Jaclyn Fong; Ziad Haydar
Journal:  Proc (Bayl Univ Med Cent)       Date:  2008-10

5.  Continuity of care and patient outcomes after hospital discharge.

Authors:  Carl van Walraven; Muhammad Mamdani; Jiming Fang; Peter C Austin
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

6.  Preventing the preventable: reducing rehospitalizations through coordinated, patient-centered discharge processes.

Authors:  Jeffrey L Greenwald; Brian W Jack
Journal:  Prof Case Manag       Date:  2009 May-Jun

7.  Depression is a risk factor for rehospitalization in medical inpatients.

Authors:  Anand Kartha; David Anthony; Christopher S Manasseh; Jeffrey L Greenwald; Veerapa K Chetty; James F Burgess; Larry Culpepper; Brian W Jack
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2007

8.  Machine learning in prediction of individual patient readmissions for elective carotid endarterectomy, aortofemoral bypass/aortic aneurysm repair, and femoral-distal arterial bypass.

Authors:  Alexandre Campos Moraes Amato; Ricardo Virgínio Dos Santos; Dumitriu Zunino Saucedo; Salvador José de Toledo Arruda Amato
Journal:  SAGE Open Med       Date:  2020-02-22

9.  Rates and causes of 30-day readmission and emergency room utilization following head and neck surgery.

Authors:  Vincent Wu; Stephen F Hall
Journal:  J Otolaryngol Head Neck Surg       Date:  2018-05-18

10.  Role of Interprofessional primary care teams in preventing avoidable hospitalizations and hospital readmissions in Ontario, Canada: a retrospective cohort study.

Authors:  Wissam Haj-Ali; Rahim Moineddin; Brian Hutchison; Walter P Wodchis; Richard H Glazier
Journal:  BMC Health Serv Res       Date:  2020-08-24       Impact factor: 2.655

  10 in total

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