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Data Collection II

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...

Data Collection I

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...

Archival Research

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...

Ethics in Research

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.

Community Based Intervention

Community Based Intervention

Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...

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Related Experiment Video

Updated: Oct 29, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Implementing a Redcap-based research data collection system for mental health.

Arturo Marroquin Rivera¹, Juan Camilo Rosas-Romero¹, Sergio Mario Castro¹

¹Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia.

Revista Colombiana De Psiquiatria (English Ed.)

|July 14, 2021

Summary

This summary is machine-generated.

Electronic data capture using REDCap is feasible in resource-limited settings. This approach facilitates medical research data management and builds research capacity in Colombia.

Keywords:

Data collection Mental health REDCap Recolección de datos Salud mental

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Last Updated: Oct 29, 2025

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Published on: May 15, 2020

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

Medical Informatics
Health Research Capacity Building

Background:

Novel big data storage systems are crucial for medical research.
Electronic data capture (EDC) tools significantly aid medical research.
Implementing EDC in resource-limited settings presents challenges due to limited infrastructure and personnel.

Purpose of the Study:

To describe a network architecture for data collection using REDCap in Colombia.
To provide guidance for implementing EDC in similar resource-limited settings.

Main Methods:

Utilized the REDCap tool for data collection.
Developed a network architecture tailored for data management.
Focused on a Colombian setting to demonstrate feasibility.

Main Results:

REDCap proved to be a feasible and efficient EDC software in the Colombian context.
The implemented system streamlined the entire data management process.
The project contributed to building research capacity.

Conclusions:

REDCap is a viable solution for electronic data capture in resource-limited environments.
This approach effectively supports medical research data management.
Implementing such technologies can enhance research capabilities in underserved regions.