Admitted
OtherReadmitted patients in the next months after an episode of aute heart failure will be recruited. Controls will be selected between those who were admitted in the baseline but not readmitted in this month.
Other names: Not readmitted
NCT Number: NCT03300791
This is a prospective nested case-control study.
Our goals are to create predictive models to readmissions for heart failure and also to define profiles for patients who are readmitted during the first month after the index episode.
Patients who will be admitted in five hospitals in spain by the reason of a heart failure will be recruited during 18 months. Those who will be readmitted in a hospital up to a month after the index episode will be considered cases. Controls will be selected from the initial cohort of hospitalized patients.
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Notify Me18 year and older
All sexes
Observational
Marisa Bare, Sabadell, Barcelona, Spain
Objective: To create models for predicting the risk of readmission short term (30-90 days) and medium term (one year).To identify differences between patients readmitted and not readmitted, and profiles of frequently preventable readmissions in our setting.
Methodology: Observational prospective cohort of patients who are discharged with a diagnosis of heart failure in 5 participating centers. further, a nested case-control will be developed in the previous cohort, being cases those readmitted and controls will be chosen according to age, sex, etiology of heart failure, comorbidities and functional status. Sociodemographic, clinical and health related quality of life, empowerment and baseline self-efficacy as predictors of readmission were collected.
Regarding the cases and controls, the quality of life in post-discharge transitional period, empowerment and self-efficacy, caregiver burden, social support, discharge care model, use of health services and adequation, conciliation and adherence to treatment will be assessed . Cox proportional hazards models will be created, and conditional logistic regression models to identify differences between cases and controls.
Expected Results: National Health System will be provided with tools for predicting the risk of readmission useful to clinicians and managers to offer discharge individualized care. The most common characteristics of readmissions and preventable readmissions will be identified, which will be helpful to create specific actions in the future.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Readmitted patients in the next months after an episode of aute heart failure will be recruited. Controls will be selected between those who were admitted in the baseline but not readmitted in this month.
Other names: Not readmitted
Time frame: 1 month
Up to a month after admission by heart failure
Time frame: 12 months
Up to 12 months after admission by heart failure
Hospital Galdakao-Usansolo
Other Gov
Predictive Models of Readmission in Heart Failure: Profile of Readmitted Patients
Acronym: REIC
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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