Unknown

Dataset Information

A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With Depression.


ABSTRACT:

Background

Patient-centered registries are essential in population-based clinical care for patient identification and monitoring of outcomes. Although registry data may be used in real time for patient care, the same data may further be used for secondary analysis to assess disease burden, evaluation of disease management and health care services, and research. The design of a registry has major implications for the ability to effectively use these clinical data in research.

Objective

This study aims to develop a systematic framework to address the data and methodological issues involved in analyzing data in clinically designed patient-centered registries.

Methods

The systematic framework was composed of 3 major components: visualizing the multifaceted and heterogeneo

SUBMITTER: Zolnoori M 

PROVIDER: S-EPMC7661226 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature