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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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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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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Related Experiment Video

Updated: Feb 12, 2026

Collecting Saliva and Measuring Salivary Cortisol and Alpha-amylase in Frail Community Residing Older Adults via Family Caregivers
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Lessons learned from using an audience response system in a community setting for research data collection.

Keneshia Bryant-Moore1, Tiffany Haynes1, Dennis Z Kuo2

  • 1University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Public Health Nursing (Boston, Mass.)
|March 23, 2018
PubMed
Summary

Community partners successfully led quantitative data collection using an audience response system (ARS). This study identified best practices and lessons learned for community-academic research partnerships utilizing ARS technology.

Keywords:
community-based participatory researchcommunity/public healthcomputers/technologydata collection methods

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Area of Science:

  • Community-based participatory research
  • Health informatics
  • Quantitative data collection methods

Background:

  • Community-academic partnerships are crucial for relevant health research.
  • Audience Response Systems (ARS) offer efficient quantitative data collection.
  • Community partner involvement in data collection can enhance study relevance and engagement.

Purpose of the Study:

  • To evaluate the effectiveness and identify best practices of community partner-led data collection using an Audience Response System (ARS).
  • To explore lessons learned and challenges encountered during the ARS data collection process.
  • To provide recommendations for future community-academic research utilizing ARS.

Main Methods:

  • A qualitative research consultant facilitated a reflection exercise involving two focus groups (academic and community research team members).
  • Content analysis was performed on the feedback from nine participants.
  • The study focused on evaluating a community partner-led quantitative data collection using an ARS.

Main Results:

  • Key themes identified included the positive aspects of using the ARS.
  • Challenges encountered during the community partner-led ARS data collection were documented.
  • Recommendations for future implementation and optimization of ARS in community-academic partnerships were generated.

Conclusions:

  • Lessons learned from this study can guide community-academic partnerships in selecting appropriate circumstances for ARS implementation.
  • Practical steps for successful ARS data collection led by community partners are highlighted.
  • This research contributes to the understanding of effective technology integration in community-engaged research.