Evidence map›Paper›PMID 32878751›Full record

ArticleBMJ open2020

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

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

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Five-Year Hospital Readmission After Isolated Coronary Artery Bypass Grafting in the United Kingdom.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Reem KayyaliPharmacy, Kingston University Faculty of Science Engineering and Computing, Kingston Upon Thames, Surrey, UK r.kayyali@kingston.ac.uk.
Gill FunnellPharmacy, Kingston University Faculty of Science Engineering and Computing, Kingston Upon Thames, Surrey, UK.ORCID 0000-0001-8816-7523
Bassel OdehPharmacy, Kingston University Faculty of Science Engineering and Computing, Kingston Upon Thames, Surrey, UK.
Anuj SharmaExus Innovations, Exus, London, UK.
Yannis KatsarosMedidata, London, UK.
Shereen Nabhani-GebaraPharmacy, Kingston University Faculty of Science Engineering and Computing, Kingston Upon Thames, Surrey, UK.ORCID 0000-0002-5784-4779
Barbara PierscionekSchool of Life Sciences and Education, Staffordshire University, Stoke-on-Trent, Staffordshire, UK.
Joshua Sterling WellsPharmacy, Kingston University Faculty of Science Engineering and Computing, Kingston Upon Thames, Surrey, UK.
John ChangResearch and Development, Croydon University Hospital, London, UK.
Kingston University · GBCroydon University Hospital · GBEXUS (United Kingdom) · GBUniversity of Staffordshire · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

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.

Indexed as

AftercarePatient DischargeAgedCross-Sectional StudiesHospitalsHumansLondonPatient ReadmissionUnited Kingdomhealth services administration & managementorganisation of health servicesquality in health care

Identifiers

PMID32878751
PMCPMC7470484
OpenAlexW3081724836

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.