Literature DB >> 15592954

Hospital readmissions--are they predictable and avoidable?

Pascal P Maurer1, Peter E Ballmer.   

Abstract

QUESTIONS UNDER STUDY: In the context of limited resources in the healthcare system, factors that can be used as indicators for the effective use of diagnostic and therapeutic management of patients are of interest. The rate of hospital readmission (RA) is a potentially important parameter of quality in hospital care. In the present preliminary study, our aim was to measure the rate of readmissions, and to qualify the readmissions as avoidable or not. PRINCIPLES/
METHODS: We performed this pilot study at the Department of Internal Medicine (DIM) of the Kantonsspital Winterthur (KSW). Between March 1st. and May 31st 1998 all patients admitted to our hospital were included in the study. Each patient was followed up for a period of 90 days after discharge. RA was classified as planned, unplanned, avoidable or unavoidable. Only the first RA of a patient was investigated. RAs were divided into those occurring within 30 and those occurring within 90 days of discharge.
RESULTS: 884 index admissions (IA) were recorded. 83 patients (9.4%) died and 28 (3.2%) were referred to another clinic in the KSW. These 111 patients were excluded from the analysis. 773 (87.4%) patients were discharged from the DIM and are taken as 100% for the sake of calculation of the rates of RA. 95 (12.3%) RAs occurred within 30 days, 68 (8.8%, 95%-CI 6.8-10.8) of these being RAs related to the IA. 27 (3.5%) had no relation to the IA. 36 (4.7%) of these 68 RAs were planned and 32 (4.1%) were unplanned. Three unplanned RAs (0.4%) were considered to have been avoidable. When the observation period was extended to 90 days, 151 (19.5%) RAs occurred. 100 (12.9%) of the RAs were related to the IA. Of these 100 RAs 46 (5.9%) were planned and 54 (7.0%) were unplanned. Of these 54 RAs 10 (1.3%) were considered to have been avoidable. The highest rate of RAs occurred within the first 10 days of discharge, followed by a substantial decrease in RAs over the next 20 days and a constant low rate over the next 60 days. Unplanned RAs occurred in 59.3% within the first 30 days. Patients admitted on a Friday had the longest length of stay (LOS) in hospital and those admitted on a Sunday, the shortest.
CONCLUSIONS: The present pilot study indicates that RA should be monitored regularly. Most RAs occurred within 30 days of discharge. Extension of the observation period to 90 days did not change the overall conclusions.

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Mesh:

Year:  2004        PMID: 15592954     DOI: 2004/41/smw-10706

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


  10 in total

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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.  Development and validation of predictive model for long-term hospitalization, readmission, and in-hospital death of patients over 60 years old.

Authors:  Maria Luiza Monteiro Costa; Ana Carolina Cintra Nunes Mafra; Maysa Seabra Cendoroglo; Patrícia Silveira Rodrigues; Milene Silva Ferreira; Stephanie A Studenski; Fábio Gazelato de Mello Franco
Journal:  Einstein (Sao Paulo)       Date:  2022-06-17

3.  Readmissions due to traffic accidents at a general hospital.

Authors:  Luciana Paiva; Damiana Aparecida Trindade Monteiro; Daniele Alcalá Pompeo; Márcia Aparecida Ciol; Rosana Aparecida Spadotti Dantas; Lídia Aparecida Rossi
Journal:  Rev Lat Am Enfermagem       Date:  2015 Jul-Aug

4.  Avoidable readmission in Hong Kong--system, clinician, patient or social factor?

Authors:  Carrie H K Yam; Eliza L Y Wong; Frank W K Chan; Michael C M Leung; Fiona Y Y Wong; Annie W L Cheung; E K Yeoh
Journal:  BMC Health Serv Res       Date:  2010-11-17       Impact factor: 2.655

Review 5.  Is the readmission rate a valid quality indicator? A review of the evidence.

Authors:  Claudia Fischer; Hester F Lingsma; Perla J Marang-van de Mheen; Dionne S Kringos; Niek S Klazinga; Ewout W Steyerberg
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

6.  The crucial factor of hospital readmissions: a retrospective cohort study of patients evaluated in the emergency department and admitted to the department of medicine of a general hospital in Italy.

Authors:  Fabio Fabbian; Arrigo Boccafogli; Alfredo De Giorgi; Marco Pala; Raffaella Salmi; Roberto Melandri; Massimo Gallerani; Andrea Gardini; Gabriele Rinaldi; Roberto Manfredini
Journal:  Eur J Med Res       Date:  2015-01-27       Impact factor: 2.175

7.  Unplanned readmissions in younger and older adult patients: the role of healthcare-related adverse events.

Authors:  Fabienne J H Magdelijns; Larissa Schepers; Evelien Pijpers; Coen D A Stehouwer; Patricia M Stassen
Journal:  Eur J Med Res       Date:  2016-09-15       Impact factor: 2.175

8.  Integrating the Principles of Evidence Based Medicine and Evidence Based Public Health: Impact on the Quality of Patient Care and Hospital Readmission Rates in Jordan.

Authors:  Mohammad S Alyahya; Heba H Hijazi; Hussam A Alshraideh; Mohammad Aser Alsharman; Rabah Al Abdi; Heather Lea Harvey
Journal:  Int J Integr Care       Date:  2016-08-31       Impact factor: 5.120

9.  Hospital readmission prevalence and analysis of those potentially avoidable in southern Italy.

Authors:  Aida Bianco; Antonio Molè; Carmelo G A Nobile; Gabriella Di Giuseppe; Claudia Pileggi; Italo F Angelillo
Journal:  PLoS One       Date:  2012-11-02       Impact factor: 3.240

10.  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

  10 in total

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