Literature DB >> 24350320

Predicting and preventing avoidable hospital admissions: a review.

S Purdey1, A Huntley.   

Abstract

The strongest risk factors for avoidable hospital admission are age and deprivation but ethnicity, distance to hospital, rurality, lifestyle and meteorological factors are also important, as well as access to primary care. There is still considerable uncertainty around which admissions are avoidable. In terms of services to reduce admissions there is evidence of effectiveness for education, self-management, exercise and rehabilitation, and telemedicine in certain patient populations, mainly respiratory and cardiovascular. Specialist heart failure services and end-of-life care also reduce these admissions. However, case management, specialist clinics, care pathways and guidelines, medication reviews, vaccine programmes and hospital at home do not appear to reduce avoidable admissions. There is insufficient evidence on the role of combinations or coordinated system-wide care services, emergency department interventions, continuity of care, home visits or pay-by-performance schemes. This highlights the importance of robust evaluation of services as they are introduced into health and social care systems.

Entities:  

Keywords:  Hospital admissions; older people; systematic reviews

Mesh:

Year:  2013        PMID: 24350320     DOI: 10.4997/jrcpe.2013.415

Source DB:  PubMed          Journal:  J R Coll Physicians Edinb        ISSN: 1478-2715


  21 in total

1.  Potentially Preventable Hospital and Emergency Department Events: Lessons from a Large Innovation Project.

Authors:  Leif I Solberg; Kris A Ohnsorg; Emily D Parker; Robert Ferguson; Sanne Magnan; Robin R Whitebird; Claire Neely; Emily Brandenfels; Mark D Williams; Mark Dreskin; Todd Hinnenkamp; Jeanette Y Ziegenfuss
Journal:  Perm J       Date:  2018

2.  Identifying patterns of potentially preventable hospitalisations in people living with dementia.

Authors:  Lidia Engel; Kerry Hwang; Anita Panayiotou; Jennifer J Watts; Cathrine Mihalopoulos; Jeromey Temple; Frances Batchelor
Journal:  BMC Health Serv Res       Date:  2022-06-20       Impact factor: 2.908

3.  Hospital-Level Care at Home for Acutely Ill Adults: a Pilot Randomized Controlled Trial.

Authors:  David M Levine; Kei Ouchi; Bonnie Blanchfield; Keren Diamond; Adam Licurse; Charles T Pu; Jeffrey L Schnipper
Journal:  J Gen Intern Med       Date:  2018-02-06       Impact factor: 5.128

4.  Designing and Governing Responsive Local Care Systems - Insights from a Scoping Review of Paramedics in Integrated Models of Care.

Authors:  Amir Allana; Walter Tavares; Andrew D Pinto; Kerry Kuluski
Journal:  Int J Integr Care       Date:  2022-04-13       Impact factor: 2.913

5.  How a universal health system reduces inequalities: lessons from England.

Authors:  Miqdad Asaria; Shehzad Ali; Tim Doran; Brian Ferguson; Robert Fleetcroft; Maria Goddard; Peter Goldblatt; Mauro Laudicella; Rosalind Raine; Richard Cookson
Journal:  J Epidemiol Community Health       Date:  2016-01-19       Impact factor: 3.710

6.  Risk factors for admission at three urban emergency departments in England: a cross-sectional analysis of attendances over 1 month.

Authors:  Sharif A Ismail; Ian Pope; Benjamin Bloom; Raquel Catalao; Emilie Green; Rebecca E Longbottom; Gwyneth Jansen; David McCoy; Tim Harris
Journal:  BMJ Open       Date:  2017-06-22       Impact factor: 2.692

Review 7.  The role of the Quality and Outcomes Framework in the care of long-term conditions: a systematic review.

Authors:  Lindsay Jl Forbes; Catherine Marchand; Tim Doran; Stephen Peckham
Journal:  Br J Gen Pract       Date:  2017-09-25       Impact factor: 5.386

8.  Interventions to reduce inequalities in avoidable hospital admissions: explanatory framework and systematic review protocol.

Authors:  Sarah Sowden; Behrouz Nezafat-Maldonado; Josephine Wildman; Richard Cookson; Richard Thomson; Mark Lambert; Fiona Beyer; Clare Bambra
Journal:  BMJ Open       Date:  2020-07-23       Impact factor: 2.692

9.  Side Effects and Perceptions Following COVID-19 Vaccination in Jordan: A Randomized, Cross-Sectional Study Implementing Machine Learning for Predicting Severity of Side Effects.

Authors:  Ma'mon M Hatmal; Mohammad A I Al-Hatamleh; Amin N Olaimat; Malik Hatmal; Dina M Alhaj-Qasem; Tamadur M Olaimat; Rohimah Mohamud
Journal:  Vaccines (Basel)       Date:  2021-05-26

10.  What are the key contextual factors when preparing for successful implementation of assistive living technology in primary elderly care? A case study from Norway.

Authors:  Martha Therese Gjestsen; Siri Wiig; Ingelin Testad
Journal:  BMJ Open       Date:  2017-09-07       Impact factor: 2.692

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