NCT03760705

Singapore Cardiac Longitudinal Outcomes Database

Long-term Clinical Outcomes, Cost-of-care, Clinical Characteristics, Re-admission Rates, Outpatient Care and Mortality in Patients With Coronary Artery Disease or Congestive Heart Failure in Singapore

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 7,205,000 (estimated)
• Sponsor: National Heart Centre Singapore · Academic / Other
• Sex: All
• Age: 21 Years – 120 Years
• Healthy volunteers: —

Summary

The research project aims to perform data extraction, integration and analysis across multiple clinical, administrative, financial and pharmacy databases in the participating institutions. The key data components will include clinical cardiovascular specific data, procedural data, financial and administrative data (e.g. cost of medications and supplies, length of stay, diagnosis codes etc.), short-to-long term clinical outcomes (including hospital re-admissions, cardiovascular events, death), and quality-of-care indices (e.g. compliance to guideline-recommended therapy and medications). The research project will involve all patients proven and/or suspected with coronary artery disease (CAD), congestive heart failure (CHF) and atrial fibrillation (AF) admitted to National Heart Centre Singapore (NHCS) and NUH.

Detailed description

The research project is initiated by NHCS and its participating institutions include Ministry of Health (MOH), as well as National University Hospital (Singapore) Pte Ltd (NUH), Changi General Hospital (CGH), Khoo Teck Puat Hospital (KTPH), Singapore General Hospital (SGH), Tan Tock Seng Hospital (TTSH), Ng Teng Fong General Hospital (NTFGH) , SingHealth Polyclinics, National Healthcare Group Polyclinics (NHGP), Sengkang Hospital (SKH), National University Polyclinics (NUP), and Alexandra Hospital (AH). The research project will leverage on the Health Data Grid (HDG) pilot project, now known as Business Research Analytics Insights Network (BRAIN). BRAIN will be a virtual repository that will enable access to anonymised and merged data from disparate databases at multiple institutions. The structures of BRAIN will preserve patients' privacy and confidentiality, ensure IT security and allow access only by authorised persons. The BRAIN pilot project will be co-funded by MOH and the Infocommunication Media Development Authority of Singapore (IMDA). To avoid doubt, after the BRAIN pilot project, a separate approval from the appropriate stakeholders will have to be sought for further funding of the operating costs of the BRAIN, regardless of whether the value of the BRAIN has been demonstrated during the BRAIN pilot project. There is no direct cost involved in the research project. For the research project, MOH will contribute administrative data from the Registry of Births and Deaths, Casemix \& Subvention, the Mediclaim, and Omnibus databases, and the other participating institutions will contribute the data from the National Electronic Health Records (NEHR), Electronic Health Intelligence System (eHIntS) and Enterprise Data Warehouse (EDW) to BRAIN. Only anonymised data from BRAIN will be utilised for the research project.

Conditions

• Coronary Artery Disease
• Congestive Heart Failure
• Atrial Fibrillation

Interventions

Type	Name	Description
OTHER	Data Collection	1. Collection of data as detailed below: 1. Clinical data collected by SCDB 2. Clinical, administrative, pharmacy, financial data collected by each participating hospital 3. Administrative data collected by MOH 2. Data will be extracted and anonymized on a secure healthcare analytics platform 3. Collaboration with the MOH for collection of administrative and financial data 4. Analysis on how healthcare behavior is affected by education, socioeconomic level and other social or cultural factors. 5. Statistical Analysis by the bio statistical team. This team will be responsible for collecting and merging the collected data and will also ensure the quality of the data.

Timeline

• Start date: 2013-07-05
• Primary completion: 2025-12-01
• Completion: 2025-12-01
• First posted: 2018-11-30
• Last updated: 2020-03-24

Locations

13 sites across 1 country: Singapore