NCT02621723

Brief Summary

CURIOS@ is a prospective multi-centre cross-sectional study to investigate readmissions in participating units. The data collected is derived from two clinical episodes: the episode containing the re-admission and the previous admission (index admission). The main aims are: Outcomes:

  • Risk factors to predict preventable readmissions in non-surgical patients
  • Percentage of subjectively non-preventable and preventable readmissions from patient, carer, their nurses and their physician's point of view
  • Comparison for risk factors on readmissions throughout Europe
  • Increasing awareness and knowledge for health-care workers on readmissions and its preventability

Trial Health

47
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2016

Geographic Reach
3 countries

8 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 25, 2015

Completed
8 days until next milestone

First Posted

Study publicly available on registry

December 3, 2015

Completed
29 days until next milestone

Study Start

First participant enrolled

January 1, 2016

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2017

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2018

Completed
Last Updated

December 3, 2015

Status Verified

December 1, 2015

Enrollment Period

1 year

First QC Date

November 25, 2015

Last Update Submit

December 1, 2015

Conditions

Keywords

Preventability

Outcome Measures

Primary Outcomes (1)

  • Percentage of readmissions deemed preventable by patients, their informal carers, nurses and physicians

    Of all the readmissions in the study, we will look at the readmissions which are deemed potentially preventable (YES or NO) by all partners of care chain. In the end this will give us a percentage of readmissions judged as potentially preventable by all partners of care chain.

    1 year

Secondary Outcomes (2)

  • Causes of preventable readmissions

    1 year

  • Risk factors for preventable readmissions

    1 year

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

All patients readmitted for at least one night for a medical specialism after any type of admission at any ward in the previous 30 days, with an overnight stay. This could be from any ward, for any procedure (elective/non-elective)

You may qualify if:

  • Adult patients aged 18 or above admitted to hospital as unscheduled medical admission for a minimum of a single night following a previous admission within 30 days
  • Index admission can be for any procedure (elective/non-elective)
  • Index admission at any hospital ward (except psychiatry, pediatrics or gynaecology) for a minimum of a single night during the previous 30 days
  • Readmission should be to a medical ward (Medical ward: Cardiology, geriatrics, gastroenterology, hematology, internal medicine, nephrology, neurology, oncology, pulmonary medicine, rheumatology.)
  • If a patient is readmitted more than once within the study period, only the first readmission will be included
  • The port of entry is through an Emergency Department, Acute Medical Unit or any other clinical ward (i.e. department of internal medicine).
  • Patients should all be capable of understanding the study and give written informed consent. They should all be mentally competent.

You may not qualify if:

  • Patients readmitted electively for procedures, surgery or chemotherapy
  • Patients readmitted for a non-medical specialism (surgery, urology, ent etc..)
  • Patients admitted or readmitted who are pregnant
  • Patients admitted or readmitted aged under 18
  • Patients index or readmission for pediatrics, psychiatry, gynaecology
  • Patients who stayed less than one night during index and readmission
  • Patients who have been admitted to another institution in their index admission (To facilitate timely case identification and ready access to treating physicians, we will only review same-hospital readmissions)
  • A second readmission for the same patient within the study period

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (8)

Hospital of South West Jutland

Esbjerg, 5270 Odense N, Denmark

Location

VU University Medical Centre

Amsterdam, North Holland, 1081 HV, Netherlands

Location

Academic Medical Centre (AMC)

Amsterdam, 1105AZ, Netherlands

Location

Albert Schweitzer

Dordrecht, 3300 AK, Netherlands

Location

Westfriesgasthuis

Hoorn, 1624 NP, Netherlands

Location

VieCuri Hospital

Venlo, 5912 BL, Netherlands

Location

Ysbyty Gwynedd Hospital

Bangor, LL57 2PW, United Kingdom

Location

University Hospital of South Manchester

Manchester, M13 9WL, United Kingdom

Location

Related Publications (13)

  • Greysen SR, Stijacic Cenzer I, Auerbach AD, Covinsky KE. Functional impairment and hospital readmission in Medicare seniors. JAMA Intern Med. 2015 Apr;175(4):559-65. doi: 10.1001/jamainternmed.2014.7756.

    PMID: 25642907BACKGROUND
  • Zanocchi M, Maero B, Martinelli E, Cerrato F, Corsinovi L, Gonella M, Ponte E, Luppino A, Margolicci A, Molaschi M. Early re-hospitalization of elderly people discharged from a geriatric ward. Aging Clin Exp Res. 2006 Feb;18(1):63-9. doi: 10.1007/BF03324642.

    PMID: 16608138BACKGROUND
  • Donze J, Aujesky D, Williams D, Schnipper JL. Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model. JAMA Intern Med. 2013 Apr 22;173(8):632-8. doi: 10.1001/jamainternmed.2013.3023.

    PMID: 23529115BACKGROUND
  • van Walraven C, Wong J, Forster AJ. LACE+ index: extension of a validated index to predict early death or urgent readmission after hospital discharge using administrative data. Open Med. 2012 Jul 19;6(3):e80-90. Print 2012.

    PMID: 23696773BACKGROUND
  • Drame M, Lang PO, Novella JL, Narbey D, Mahmoudi R, Laniece I, Somme D, Gauvain JB, Heitz D, Voisin T, de Wazieres B, Gonthier R, Ankri J, Saint-Jean O, Jeandel C, Couturier P, Blanchard F, Jolly D. Six-month outcome of elderly people hospitalized via the emergency department: the SAFES cohort. Rev Epidemiol Sante Publique. 2012 Jun;60(3):189-96. doi: 10.1016/j.respe.2011.11.004. Epub 2012 May 16.

    PMID: 22608011BACKGROUND
  • Cooksley T, Nanayakkara PW, Nickel CH, Subbe CP, Kellett J, Kidney R, Merten H, Van Galen L, Henriksen DP, Lassen AT, Brabrand M; safer@home consortium. Readmissions of medical patients: an external validation of two existing prediction scores. QJM. 2016 Apr;109(4):245-8. doi: 10.1093/qjmed/hcv130. Epub 2015 Jul 10.

    PMID: 26163662BACKGROUND
  • Hansen LO, Williams MV, Singer SJ. Perceptions of hospital safety climate and incidence of readmission. Health Serv Res. 2011 Apr;46(2):596-616. doi: 10.1111/j.1475-6773.2010.01204.x. Epub 2010 Nov 24.

    PMID: 21105868BACKGROUND
  • Billings J, Blunt I, Steventon A, Georghiou T, Lewis G, Bardsley M. Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30). BMJ Open. 2012 Aug 10;2(4):e001667. doi: 10.1136/bmjopen-2012-001667. Print 2012.

    PMID: 22885591BACKGROUND
  • Jackson AH, Fireman E, Feigenbaum P, Neuwirth E, Kipnis P, Bellows J. Manual and automated methods for identifying potentially preventable readmissions: a comparison in a large healthcare system. BMC Med Inform Decis Mak. 2014 Apr 5;14:28. doi: 10.1186/1472-6947-14-28.

    PMID: 24708889BACKGROUND
  • Davies S, Saynina O, Schultz E, McDonald KM, Baker LC. Implications of metric choice for common applications of readmission metrics. Health Serv Res. 2013 Dec;48(6 Pt 1):1978-95. doi: 10.1111/1475-6773.12075. Epub 2013 Jun 6.

    PMID: 23742056BACKGROUND
  • Blunt I, Bardsley M, Grove A, Clarke A. Classifying emergency 30-day readmissions in England using routine hospital data 2004-2010: what is the scope for reduction? Emerg Med J. 2015 Jan;32(1):44-50. doi: 10.1136/emermed-2013-202531. Epub 2014 Mar 25.

    PMID: 24668396BACKGROUND
  • Bianco A, Mole A, Nobile CG, Di Giuseppe G, Pileggi C, Angelillo IF. Hospital readmission prevalence and analysis of those potentially avoidable in southern Italy. PLoS One. 2012;7(11):e48263. doi: 10.1371/journal.pone.0048263. Epub 2012 Nov 2.

    PMID: 23133624BACKGROUND
  • Cooksley T, Merten H, Kellett J, Brabrand M, Kidney R, Nickel CH, Nanayakkara PW, Subbe CP. PRISMA Analysis of 30 Day Readmissions to a Tertiary Cancer Hospital. Acute Med. 2015;14(2):53-6.

    PMID: 26305081BACKGROUND

Central Study Contacts

Prabath Nanayakkara, MD, PhD, FRCP

CONTACT

Louise van Galen, MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Target Duration
6 Months
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
PhD, MD, FRCP

Study Record Dates

First Submitted

November 25, 2015

First Posted

December 3, 2015

Study Start

January 1, 2016

Primary Completion

January 1, 2017

Study Completion

January 1, 2018

Last Updated

December 3, 2015

Record last verified: 2015-12

Locations