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This document outlines the protocol for conducting retrospective studies using existing data at Tallahassee Memorial Healthcare. It covers study information, objectives, data collection, management, and ethical considerations including waiver of informed consent and HIPAA authorization.
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How to fill out retrospective study protocol

01
Define the research question clearly.
02
Identify the study population and inclusion/exclusion criteria.
03
Select the variables and data sources for analysis.
04
Develop a detailed outline of the protocol structure.
05
Specify the statistical methods and analysis plan.
06
Include ethical considerations and data privacy measures.
07
Draft the timeline for the study.
08
Obtain necessary approvals from relevant ethics boards.

Who needs retrospective study protocol?

01
Researchers conducting medical or clinical studies.
02
Institutional Review Boards for ethical oversight.
03
Healthcare organizations interested in retrospective data analysis.
04
Regulatory agencies assessing the validity of research.
05
Pursuers of academic publications in medical journals.
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A retrospective study protocol is a structured plan for conducting a research study that looks back at data collected in the past to analyze outcomes, associations, or trends.
Researchers or institutions conducting retrospective studies typically are required to file a retrospective study protocol, including anyone who needs to ensure ethical compliance and validity of the study.
To fill out a retrospective study protocol, researchers should clearly describe the study objectives, methodologies, data sources, analysis plans, and ethical considerations, ensuring all sections are completed with sufficient detail.
The purpose of a retrospective study protocol is to provide a clear framework for the research, establish methodological rigor, ensure ethical standards are met, and facilitate thorough review and approval by relevant authorities.
Essential information to report includes the study title, objectives, background, methodology, data handling procedures, statistical analysis plans, ethical considerations, and expected outcomes.
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