Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK

Author:

Kayyali Reem,Funnell GillORCID,Odeh Bassel,Sharma Anuj,Katsaros Yannis,Nabhani-Gebara ShereenORCID,Pierscionek Barbara,Wells Joshua Sterling,Chang John

Abstract

ObjectivesThis study forms the user requirements phase of the OPTIMAL project, which, through a predictive model and supportive intervention, aims to decrease early hospital readmissions. This phase aims to investigate the needs and characteristics of patients who had been admitted to hospital ≥2 times in the past 12 months.SettingThis was a cross-sectional study involving patients from Croydon University Hospital (CUH), London, UK.ParticipantsA total of 347 patients responded to a postal questionnaire, a response rate of 12.7%. To meet the inclusion criteria, participants needed to be aged ≥18 and have been admitted ≥2 times in the previous 12 months (August 2014–July 2015) to CUH.Primary and secondary outcomesTo profile patients identified as frequent admitters to assess gaps in care at discharge or post-discharge. Additionally, to understand the patients’ experience of admission, discharge and post-discharge care.ResultsThe range of admissions in the past 12 months was 2–30, with a mean of 2.8. At discharge 72.4% (n=231/347) were not given a contact for out-of-hours help. Regression analysis identified patient factors that were significantly associated with frequent admissions (>2 in 12 months), which included age (p=0.008), being in receipt of care (p=0.005) and admission due to a fall (p=0.01), but not receiving polypharmacy. Post-discharge, 41.8% (n=145/347) were concerned about being readmitted to the hospital. In the first 30 days after discharge, over half of patients (54.5% n=189/347) had no contact from a healthcare professional.ConclusionConsidering that social care needs were more of a determinant of admission risk than medical needs, rectifying the lack of integration, communication and the under-utilisation of existing patient services could prevent avoidable problems during the transition of care and help decrease the likelihood of hospital readmission.

Publisher

BMJ

Subject

General Medicine

Reference40 articles.

1. OECD Health Ministerial Meeting: Health System Priorities in the Aftermath of the Crisis [Internet] p. 7–8, 2010. Available: https://www.oecd.org/health/2010-ministerial/46098360.pdf [Accessed 7 Feb 2017].

2. National Audit Office . Emergency admissions to hospital: managing the demand [Internet]. Vol. 739, Hc. P. 4, 2013. Available: https://www.nao.org.uk/wp-content/uploads/2013/10/10288-001-Emergency-admissions.pdf [Accessed 10 Feb 2017].

3. Department of Health . Payment by Results Guidance for 2011-12 [Internet], 2011. Available: http://webarchive.nationalarchives.gov.uk/20130507170152/https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/151911/dh_126157.pdf.pdf [Accessed 17 Feb 2017].

4. Hospital Readmissions as a Measure of Quality of Health Care

5. Understanding preventable Hospital readmissions: masqueraders, markers, and true causal factors;Lindquist;J Hosp Med,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3