Smart Technology Facilitated Venous Thromboembolism Prophylaxis Based on Bundled Evidence-based Prevention Strategies

NCT ID: NCT06353373

Last Updated: 2024-04-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

15626 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-09-01

Study Completion Date

2025-02-28

Brief Summary

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Venous thromboembolism (VTE) is the third leading cause of cardiovascular disease deaths globally, and its incidence is increasing over the years. Hospital-acquired VTE accounts for approximately 75% of all deaths attributed to VTE. However, only half of patients with indications for VTE prophylaxis take preventive measures, and high rates of inappropriate VTE prophylaxis prescribing contribute to the gap between VTE prophylaxis and guidelines. To further minimize the gap between clinical practice and guidelines, a range of strategies have been employed across various fields of VTE prophylaxis. One of the most effective measures is the utilization of a Clinical Decision Support System (CDSS). Smart technology-based CDSS facilitates automated evaluation of VTE risk and detection, addressing issues at both the beginning and end of the in-hospital VTE prevention process. but there is still a lack of research on how to effectively implement evidence-based VTE prophylaxis in the middle of the process.

In our hospital, routine use of DeVTEcare system (a CDSS for VTE risk assessment and integrated care) for in-hospital management of VTE has been launched since 2021. This study aims to investigate the effect of integrating bundled guideline-based VTE prevention strategies into the DeVTEcare system on in-hospital VTE prophylaxis.

Detailed Description

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Conditions

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Venous Thromboembolism Clinical Decision Support Systems Digital Health

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Pre-Modified DeVTEcare Group

In our hospital, routine use of DeVTEcare system (a CDSS for VTE risk assessment and integrated care) for in-hospital management of VTE has been launched since 2021. By retrospectively collecting information on discharged patients, all patients discharged from our hospital between April 2023 and April 2024 will be included in the pre-modified DeVTEcare group.

No interventions assigned to this group

Post-Modified DeVTEcare Group

The modified DeVTEcare system, which incorporates bundled guideline-based VTE prevention measures, will be utilized to assist healthcare providers in VTE prophylaxis after September 2024. By retrospectively collecting information on discharged patients, all patients discharged from our hospital between September 2024 and February 2025 will be included in the post-modified DeVTEcare group.

Application of the modified DeVTEcare system

Intervention Type OTHER

The modified DeVTEcare system, which incorporates bundled guideline-based VTE prevention measures, will be utilized to assist healthcare providers in VTE prophylaxis after September 2024.

Interventions

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Application of the modified DeVTEcare system

The modified DeVTEcare system, which incorporates bundled guideline-based VTE prevention measures, will be utilized to assist healthcare providers in VTE prophylaxis after September 2024.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Discharged patients who were ≥18 years of age at admission were included in the observation cohort. If a patient had multiple hospitalizations, information on only the longest hospitalization was included in the study.

Exclusion Criteria

* Lack of diagnostic information;
* Length of hospitalization ≤ 24 hours;
* Patients on anticoagulation therapy at the time of admission: e.g., those with established VTE, atrial fibrillation, acute myocardial infarction, ischemic stroke, those on continuous renal replacement therapy, extracorporeal membrane pulmonary oxygenation, hemodialysis, and mechanical valve implantation status.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Navy General Hospital, Beijing

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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ZHI-GENG JIN, Doctor

Role: STUDY_CHAIR

Sixth Medical Center of Chinese PLA General Hospital

Central Contacts

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ZHI-GENG JIN, Doctor

Role: CONTACT

8615801402223

References

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Henke PK, Kahn SR, Pannucci CJ, Secemksy EA, Evans NS, Khorana AA, Creager MA, Pradhan AD; American Heart Association Advocacy Coordinating Committee. Call to Action to Prevent Venous Thromboembolism in Hospitalized Patients: A Policy Statement From the American Heart Association. Circulation. 2020 Jun 16;141(24):e914-e931. doi: 10.1161/CIR.0000000000000769. Epub 2020 May 7.

Reference Type BACKGROUND
PMID: 32375490 (View on PubMed)

Jin ZG, Zhang H, Tai MH, Yang Y, Yao Y, Guo YT. Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation. J Med Internet Res. 2023 Apr 24;25:e43153. doi: 10.2196/43153.

Reference Type BACKGROUND
PMID: 37093636 (View on PubMed)

Durieux P, Nizard R, Ravaud P, Mounier N, Lepage E. A clinical decision support system for prevention of venous thromboembolism: effect on physician behavior. JAMA. 2000 Jun 7;283(21):2816-21. doi: 10.1001/jama.283.21.2816.

Reference Type BACKGROUND
PMID: 10838650 (View on PubMed)

Other Identifiers

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HZKY-PJ-2024-7

Identifier Type: -

Identifier Source: org_study_id

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