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BANDAIDS CDSS: Digital solutions for heart failure best practice care.

The efficacy of digital solutions for heart failure best practice care.

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12623000019606
Acronym
BANDAIDS
Enrollment
500
Registered
2023-01-10
Start date
2023-07-01
Completion date
2023-12-31
Last updated
2023-06-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Heart failure is a major burden in Australia in terms of morbidity, mortality and healthcare expenditure. While multiple guideline-based therapies are recommended for heart failure with reduced ejection fraction (HFrEF), they are underutilised and thus ineffective. This study will develop, deploy and evaluate a digital solution, to improve adherence to guideline-based therapies at time of discharge and decrease admissions and mortality in recently admitted HFrEF patients. The BANDAID digital health solution is comprised of a Clinical Decision Support System (CDSS). Physicians will enter specific patient inputs into the CDSS, which will aide in the identification of recommended therapies for hospital inpatients. The primary objective is to determine if use of the Clinical Decision Support System (CDSS) will improve practitioner adherence to guideline-based therapies in recently admitted HFrEF patients, when compared to rates documented in a quality assurance audit in the same institutions.

Interventions

The BANDAID digital health solution is comprised of a Clinical Decision Support System (CDSS). Physicians will enter in specific patient in-puts into the CDSS, a web-application that will aide in the identification of recommended therapies in hospital inpatients. This will be presented as a list of the guideline-recommended treatments for the clinician to review, indicate if they prescribed the therapy, and why or why not. The CDSS is implemented within 24h of patient admission to hospital and 2

The BANDAID digital health solution is comprised of a Clinical Decision Support System (CDSS). Physicians will enter in specific patient in-puts into the CDSS, a web-application that will aide in the identification of recommended therapies in hospital inpatients. This will be presented as a list of the guideline-recommended treatments for the clinician to review, indicate if they prescribed the therapy, and why or why not. The CDSS is implemented within 24h of patient admission to hospital and 24h prior to discharge. Use of the CDSS takes approximately 5 minutes and this web application has been specifically developed for this study.

Sponsors

University of Sydney
Lead SponsorUniversity

Study design

Allocation
Non-randomised trial
Intervention model
Single group
Primary purpose
Educational / counselling / training
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Adults, aged 18 years and older, admitted to a participating centre, with a diagnosis of HFrEF confirmed by evidence of left ventricular ejection fraction (LVEF) less than or equal to 40% (or described as at least moderately impaired).

Exclusion criteria

1. Inpatients being managed with palliative intent, or who did not survive admission 2. List of discharge medications unavailable

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026