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Evidence Synthesis in Healthcare Connect

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Syed S. Hasan
Editor-in-Chief

Syed S. Hasan
Editor-in-Chief

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Evidence Synthesis in Healthcare Connect is a peer-reviewed, open-access journal focused on advancing evidence synthesis to inform clinical practice, health policy, and systematic review methodology. It welcomes high-quality, interdisciplinary research that promotes transparency, innovation, and real-world impact in global healthcare.

Volumes 1
Articles 0
Volume: 1, 2025
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Open Access Policy:
All articles published in the journal “Evidence Synthesis in Healthcare Connect” are made accessible through an open-access model, released under the CCBY license. This license facilitates the unrestricted dissemination of articles, encouraging widespread sharing and utilization of valuable research contributions.

Publication Charges:
No publication fee will be charged for articles published by December 2025, and all articles will be available as Open Access.

Subject Categories:
Clinical Practice, Health Care Services, Pharmaceutical Care

Article Template:
You are encouraged to use the template to format your article according to our guidelines. However, this is not mandatory, as our layout team will ensure all necessary adjustments are made after acceptance and prior to final publication.

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Target Audience:

Evidence Synthesis in Healthcare Connect is intended for researchers, clinicians, and policy-makers who rely on high-quality evidence to inform healthcare decisions. The journal also serves methodologists and professionals advancing systematic review methodologies and tools.

Ethics Statement:

All articles published by Evidence Synthesis in Healthcare Connect adhere strictly to the ethical guidelines suggested by the Committee on Publication Ethics (COPE). We execute a stringent peer-review procedure that meticulously assesses the originality, quality, and precision of the research we disseminate. We employ advanced tools to scrutinize the legitimacy of submitted content and maintain a firm zero-tolerance stance toward instances of plagiarism, data manipulation, or inappropriate authorship. For further details, please review our comprehensive Publication Ethics and Integrity Guidelines.

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