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Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK
OBJECTIVES: This 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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470484/ https://www.ncbi.nlm.nih.gov/pubmed/32878751 http://dx.doi.org/10.1136/bmjopen-2019-035522 |
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author | Kayyali, Reem Funnell, Gill Odeh, Bassel Sharma, Anuj Katsaros, Yannis Nabhani-Gebara, Shereen Pierscionek, Barbara Wells, Joshua Sterling Chang, John |
author_facet | Kayyali, Reem Funnell, Gill Odeh, Bassel Sharma, Anuj Katsaros, Yannis Nabhani-Gebara, Shereen Pierscionek, Barbara Wells, Joshua Sterling Chang, John |
author_sort | Kayyali, Reem |
collection | PubMed |
description | OBJECTIVES: This 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. SETTING: This was a cross-sectional study involving patients from Croydon University Hospital (CUH), London, UK. PARTICIPANTS: A 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 OUTCOMES: To 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. RESULTS: The 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. CONCLUSION: Considering 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. |
format | Online Article Text |
id | pubmed-7470484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74704842020-09-15 Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK Kayyali, Reem Funnell, Gill Odeh, Bassel Sharma, Anuj Katsaros, Yannis Nabhani-Gebara, Shereen Pierscionek, Barbara Wells, Joshua Sterling Chang, John BMJ Open Health Informatics OBJECTIVES: This 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. SETTING: This was a cross-sectional study involving patients from Croydon University Hospital (CUH), London, UK. PARTICIPANTS: A 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 OUTCOMES: To 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. RESULTS: The 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. CONCLUSION: Considering 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. BMJ Publishing Group 2020-09-02 /pmc/articles/PMC7470484/ /pubmed/32878751 http://dx.doi.org/10.1136/bmjopen-2019-035522 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Informatics Kayyali, Reem Funnell, Gill Odeh, Bassel Sharma, Anuj Katsaros, Yannis Nabhani-Gebara, Shereen Pierscionek, Barbara Wells, Joshua Sterling Chang, John Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title | Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title_full | Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title_fullStr | Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title_full_unstemmed | Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title_short | Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK |
title_sort | investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the uk |
topic | Health Informatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470484/ https://www.ncbi.nlm.nih.gov/pubmed/32878751 http://dx.doi.org/10.1136/bmjopen-2019-035522 |
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