Literature DB >> 28642333

Patients' and providers' perceptions of the preventability of hospital readmission: a prospective, observational study in four European countries.

Louise S van Galen1, Mikkel Brabrand2, Tim Cooksley3, Peter M van de Ven4, Hanneke Merten5, Ralph Kl So6, Loes van Hooff7, Harm R Haak8,9, Rachel M Kidney10, Christian H Nickel11, John Ty Soong12, Immo Weichert13, Mark Hh Kramer1, Christian P Subbe14, Prabath Wb Nanayakkara1.   

Abstract

OBJECTIVES: Because of fundamental differences in healthcare systems, US readmission data cannot be extrapolated to the European setting: To investigate the opinions of readmitted patients, their carers, nurses and physicians on predictability and preventability of readmissions and using majority consensus to determine contributing factors that could potentially foresee (preventable) readmissions.
DESIGN: Prospective observational study. Readmitted patients, their carers, and treating professionals were surveyed during readmission to assess the discharge process and the predictability and preventability of the readmission. Cohen's Kappa measured pairwise agreement of considering readmission as predictable/preventable by patients, carers and professionals. Subsequently, multivariable logistic regressionidentified factors associated with predictability/preventability.
SETTING: 15 hospitals in four European countries PARTICIPANTS: 1398 medical patients readmitted unscheduled within 30 days MAIN OUTCOMES AND MEASURES: (1) Agreement between the interviewed groups on considering readmissions likely predictable or preventable;(2) Factors distinguishing predictable from non-predictable and preventable from non-preventable readmissions.
RESULTS: The majority deemed 27.8% readmissions potentially predictable and 14.4% potentially preventable. The consensus on predictability and preventability was poor, especially between patients and professionals (kappas ranged from 0.105 to 0.173). The interviewed selected different factors as potentially associated with predictability and preventability. When a patient reported that he was ready for discharge during index admission, the readmission was deemed less likely by the majority (predictability: OR 0.55; 95% CI 0.40 to 0.75; preventability: OR 0.35; 95% CI 0.24 to 0.49).
CONCLUSIONS: There is no consensus between readmitted patients, their carers and treating professionals about predictability and preventability of readmissions, nor associated risk factors. A readmitted patient reporting not feeling ready for discharge at index admission was strongly associated with preventability/predictability. Therefore, healthcare workers should question patients' readiness to go home timely before discharge. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  Communication; Healthcare quality improvement; Hospital medicine; Human factors; Patient-centred care

Mesh:

Year:  2017        PMID: 28642333     DOI: 10.1136/bmjqs-2017-006645

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  13 in total

1.  Impact of Instrumental Activities of Daily Living Limitations on Hospital Readmission: an Observational Study Using Machine Learning.

Authors:  Nicholas K Schiltz; Mary A Dolansky; David F Warner; Kurt C Stange; Stefan Gravenstein; Siran M Koroukian
Journal:  J Gen Intern Med       Date:  2020-07-29       Impact factor: 5.128

2.  Validity of a tool designed to assess the preventability of potentially preventable hospitalizations for chronic conditions.

Authors:  Jennifer J Johnston; Jo M Longman; Dan P Ewald; Margaret I Rolfe; Sergio Diez Alvarez; Adrian H B Gilliland; Steven C Chung; Sumon K Das; Jonathan M King; Megan E Passey
Journal:  Fam Pract       Date:  2020-07-23       Impact factor: 2.267

3.  Reasons for readmission after hospital discharge in patients with chronic diseases-Information from an international dataset.

Authors:  Hans-Peter Brunner-La Rocca; Carol J Peden; John Soong; Per Arne Holman; Maria Bogdanovskaya; Lorna Barclay
Journal:  PLoS One       Date:  2020-06-30       Impact factor: 3.240

4.  Exploring physicians' decision-making in hospital readmission processes - a comparative case study.

Authors:  Malin Knutsen Glette; Tone Kringeland; Olav Røise; Siri Wiig
Journal:  BMC Health Serv Res       Date:  2018-09-19       Impact factor: 2.655

5.  Safe handovers for every patient: an interrupted time series analysis to test the effect of a structured discharge bundle in Dutch hospitals.

Authors:  Rosanne Van Seben; Suzanne E Geerlings; Jolanda M Maaskant; Bianca M Buurman
Journal:  BMJ Open       Date:  2019-06-04       Impact factor: 2.692

6.  Patient and Provider Perspectives on 30-Day Readmissions, Preventability, and Strategies for Improving Transitions of Care for Patients with HIV at a Safety Net Hospital.

Authors:  Ank E Nijhawan; Robin T Higashi; Emily G Marks; Yordanos M Tiruneh; Simon Craddock Lee
Journal:  J Int Assoc Provid AIDS Care       Date:  2019 Jan-Dec

7.  Hospital physicians' views on discharge and readmission processes: a qualitative study from Norway.

Authors:  Malin Knutsen Glette; Tone Kringeland; Olav Røise; Siri Wiig
Journal:  BMJ Open       Date:  2019-08-27       Impact factor: 2.692

8.  Relationships Between Time-at-Bedside During Hospital Ward Rounds, Clinician-Patient Agreement, and Patient Experience.

Authors:  John T Ratelle; Michelle Herberts; Donna Miller; Ashok Kumbamu; Donna Lawson; Eric Polley; Thomas J Beckman
Journal:  J Patient Exp       Date:  2021-04-08

9.  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.  Preventability of unplanned readmissions within 30 days of discharge. A cross-sectional, single-center study.

Authors:  Albertine M B van der Does; Eva L Kneepkens; Elien B Uitvlugt; Sanne L Jansen; Louise Schilder; George Tokmaji; Sofieke C Wijers; Marijn Radersma; J Nina M Heijnen; Paul F A Teunissen; Pim B J E Hulshof; Geke M Overvliet; Carl E H Siegert; Fatma Karapinar-Çarkit
Journal:  PLoS One       Date:  2020-04-02       Impact factor: 3.240

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