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ReadmissionNCT05116644

Prevalence of Factors Contributing to Unplanned Hospital Readmission of Older Medical Patients

An observational study of Readmission, run by University of Aarhus at 1 site in Denmark.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

We need to identify the essential factors that are linked to readmission among older medical patients as approximately 20% of all medical patients above the age of 65 are readmitted within 30 days after discharge. Read more about this study

Who is it for?
Ages 65 years and older
Conditions the study is for
Readmission
What is being tested?
NONE - this is a cross-sectional survey design
How many people
165 participants
Where
1 siteDenmark
Study dates
14 Sep 2020to 25 Jun 2021
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 65 years and older
  • All sexes
  • No healthy volunteers
  • Older adult

Study population: Readmitted patients who are eligable for inclusion will be prospectively recruited whilst admitted on a medical ward. There has been no selectioin in the process meaning all eligable patients will be asked to participate except those patients who are discharged soon after the readmission e.g. in the evening or in the weekend.

Who may be able to join

  • Aged 65 or above
  • Danish citizens
  • Discharged from a general medical ward at Horsens Regional Hospital (HRH) AND readmitted to a general medical ward at HRH within 30 days after discharge
  • Living in the municipality of Horsens, Hedensted, Odder or Skanderborg

Who cannot join

  • Not able to speak and understand Danish

Trial locations and contacts

1 site in 1 country.

Denmark1 site
  • PhD student Lisa Rasmussen

    Horsens

Other trials in Denmark

About this study

Official title: Prevalence of Factors Contributing to Unplanned Hospital Readmission of Older Medical Patients When Assessed by Patients, Their Significant Others and Healthcare Professionals: a Cross-sectional Survey

We need to identify the essential factors that are linked to readmission among older medical patients as approximately 20% of all medical patients above the age of 65 are readmitted within 30 days after discharge.

The objective of this cross-sectional survey study is to to identify factors and aspects that contribute to unplanned hospital readmissions of older medical patients.

This will be done through a survey where readmitted patients and their relatives and healthcare professionals answer questions about the patients readmission. The survey questions cover following themes: 1) disease, 2) diagnostics, treatment and care, 3) social network, 4) organisation, 5) communication, 6) competences and knowledge, 7) resources and 8) practical aspects. The hypothesis is that the more knowledge we gain on factors that contribute to readmission, the more targeted actions and interventions and thus preventing readmissions.

Read the detailed description

The objective of this cross-sectional survey study to identify unique factors and aspects involved in the process of unplanned hospital readmissions of medical patients aged 65 or above within 30 days of discharge.

To identify these factors following research questions will be examined:

  1. what are the most prevalent factors that contribute to 30-days readmissions among medical patients above 65 years?
  2. to what degree do patients, relative and health care professionals agree upon the contributing factors?
  3. where on the patient pathway between sectors are the contributing factors most prevalent?

Unplanned Readmission is defined as follows:

  • The admission occurs between four hours and 30 days after the last admission
  • The onset of the admission is acute
  • The admission cannot be a result of a referral from another hospital or ward
  • The patient cannot have a cancer- or accident diagnosis
  • Admission not part of existing treatment regimen, such as intravenous antibiotic treatment, or readmission planned at latest discharge.

Respondents are divided in five groups: patients and their relative, community-based nurses, general practitioners (GP) and hospital-based doctors.

DATA COLLECTION Patients will be prospectively recruited September 2020 to June 2021. All eligible patients will be asked to sign an informed consent for use of individual healthcare data. No formal ethical approval is necessary. Data collection will be performed by the PhD student and project staff.

Data will be collected from two sources; 1) from questionnaires and from 2) CROSS-TRACKS.

Data from questionnaires There is no existing questionnaire that examine factors that contribute to readmissions among medical patients aged 65 or above. Therefore, to evaluate unique dimensions on the same readmission, study-specific questionnaires have been developed to examine the perspectives on the readmission from the patient, relative, community-based nurse (if the patient has home health care), GP, and receiving hospital-based doctor. The development process will be described below.

Development of the questionnaires:

In short, the stepwise process of developing the study-specific questionnaires is described below.

Step 1: to prepare and conduct semi-structured interviews to generate knowledge from the target groups. In total, 25 interviews of one hour were conducted with patients, relatives, GPs, community-based nurses and hospital doctors. These interviews were transcribed and the content was condensed and coded using NVIVO.

Step 2: to gain knowledge from peer reviewed evidence on risk factors and predictors of readmission among older medical patients.

Step 3: the 3 questionnaires were developed. Knowledge gathered from the two preliminary steps were used to create the individual items in the questionnaire. A formative questionnaire model was chosen. Likert scales, open-ended questions, multiple choice and yes/no/don't know were chosen as response formats, developed, and subsequently validated by an expert in questionnaires. The questionnaires were pilot tested twice.

Step 4: the 3 questionnaires were finalized, implemented and pilot tested in a study-specific REDCap database.

The questionnaires to GPs, hospital doctors and community-based nurses are identical. The 3 questionnaires cover following factors that can contribute to unplanned hospital readmissions: 1) disease specific factors, 2) diagnostic specific factors, treatment and care specific factors, 3) social network specific factors, 4) organisation specific factors, 5) communication specific factors, 6) competences and knowledge specific factors, 7) resources specific factors and 8) practical specific factors. The questionnaire to the patients is a short version modified to frail and vulnerable older people. The questionnaire to the relatives is an intermediate version between the questionnaire to the health care professionals and patients. All responders receive a personal link which ensures that the survey only can be answered by this specific person.

Unplanned readmitted patients will be approached and enrolled in the study within 72 hours after readmission.

Patients who accept to participate in the study, accept data collection through registers, questionnaire and accept data collection from their relatives, GP, community-based nurse and hospital-based doctor.

Data from CORSS-TRACKS Data will be retrieved from CORSS-TRACKS. CORSS-TRACKS data are gathered from different Danish sources and cover; 1) Primary care; Municipality-based electronic care provision record, Danish National Health Service Register, Danish National Database of Reimbursed Prescriptions, Prehospital electronic record, 2) Secondary care; Danish National Patient Registry, Electronic health record, Clinical laboratory information system, 3) Danish Civil Registration System and 4) Danish Register for Evaluation of Marginalization.

CORSS-TRACKS data is merged with data collected from questionnaires to conduct sub-analysis.

ANALYSIS Quantitative analysis

  • Descriptive analysis including prevalence
  • Cohen's kappa or similar analysis for the level of agreement between responses

Qualitative analysis

  • Quantitative content analysis will be used as method to analyze open-ended questions. NVivo will be used when coding the content.
Conditions
Readmission
Being tested
NONE - this is a cross-sectional survey design
Keywords
Readmission, causes of readmission, survey, cross-sectional, older medical patients, multiperspective

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • NONE - this is a cross-sectional survey designOther

    NONE - this is a cross-sectional survey design

Study groups in NCT05116644
Study groupRoleWhat they receive
Included patientsIncluded patients: 165
Receives: Other: NONE - this is a cross-sectional survey design

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Prevalence of factors contributing to 30-day readmission

    Through questionnaire responses, it will be possible to identify factors that contribute to readmission among readmitted older medical patients

    Measured: Immediately after each patient has been enrolled in the study

  2. The agreement between patients and significant others and between hospital physicians and GPs

    Kappa analysis of the agreement on contributing factors on patient level

    Measured: Immediately after each patient has been enrolled in the study

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted11 Nov 2021
  2. Study start14 Sep 2020
  3. Primary completion25 Jun 2021
  4. Study completion25 Jun 2021

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Cross-sectional
Enrolment
165 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05116644
Sponsor's protocol ID
Quest2020
Status last verified
Oct 2021
First submitted
27 Oct 2021
Last updated
25 Sep 2023
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided: Other researchers can apply for data sharing

Publications

  • Rasmussen LF, Grode L, Barat I, Gregersen M. Prevalence of factors contributing to unplanned hospital readmission of older medical patients when assessed by patients, their significant others and healthcare professionals: a cross-sectional survey. Eur Geriatr Med. 2023 Aug;14(4):823-835. doi: 10.1007/s41999-023-00799-6. Epub 2023 May 24.

    PubMed 37222865

Questions about this trial

What is this clinical trial studying?

An observational study of Readmission, run by University of Aarhus at 1 site in Denmark.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 25 Sep 2023. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Denmark. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Prevalence of factors contributing to 30-day readmission (time frame: Immediately after each patient has been enrolled in the study). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT05116644, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Sep 2023.

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