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Related Concept Videos

Data Collection I01:30

Data Collection I

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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...
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Community Based Intervention01:30

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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.
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Data Validation01:03

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Principles of Disease Surveillance01:26

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Documentation in Long-Term and Home Healthcare Setting01:29

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
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Methods of Documentation IV: Focus Charting01:26

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Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
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Updated: Jun 14, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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A community-engaged approach to developing common data elements: a case study from the RADx-UP Long COVID common data

Helena L Pike Welch1, Gregory Guest2, Halima Garba1

  • 1Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC 27701, United States.

JAMIA Open
|June 5, 2025
PubMed
Summary
This summary is machine-generated.

A Long COVID Common Data Elements (CDEs) Task Force, including community partners, developed 28 CDEs for community-engaged research. This ensures Long COVID research data accurately reflects community needs.

Keywords:
Long COVIDcommon data elementscommunity engagementcommunity partnerscommunity-informed research

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Area of Science:

  • Public Health Research
  • Data Standardization
  • Community Engagement

Background:

  • The Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program sought to integrate Long COVID common data elements (CDEs) into existing data collection protocols.
  • Requests from community-engaged research projects highlighted the need for Long COVID-specific CDEs.

Observation:

  • A dedicated Long COVID CDEs Task Force was established by the RADx-UP Coordination and Data Collection Center (CDCC).
  • The Task Force comprised primarily community partners and RADx-UP project members, ensuring diverse perspectives.
  • They evaluated the suitability of Long COVID CDEs from the Researching COVID to Enhance Recovery (RECOVER) program for RADx-UP initiatives.

Findings:

  • The Task Force's collaborative efforts resulted in the creation of 28 novel CDEs tailored for Long COVID community-engaged research.
  • Key lessons were learned regarding the adaptation of standardized CDEs for community contexts.

Implications:

  • The developed CDEs are appropriate for community-engaged Long COVID research, enhancing data relevance.
  • Involving community members in CDE development leads to more meaningful and applicable data collection tools.
  • This approach can improve the quality and utility of data in Long COVID research, particularly in underserved populations.