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Data Collection by Observations01:08

Data Collection by Observations

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.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Data Collection by Survey01:07

Data Collection by Survey

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...
Data Collection by Experiments01:13

Data Collection by Experiments

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.”
An example of the experimental method is a public clinical trial...
Data Collection I01:30

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 data...
Data Collection III01:05

Data Collection III

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.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Data Collection II01:29

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 family,...

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Related Experiment Video

Updated: Jun 27, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

Methodologies for data collection.

Sheryl Happel Lewis1, Richard Wojcik1

  • 1The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.

BMC Proceedings
|November 26, 2008
PubMed
Summary
This summary is machine-generated.

Effective disease surveillance relies on robust data collection. Understanding various data sources and collection methods is crucial for accurate public health monitoring and system success.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Electronic disease surveillance systems are vital for public health.
  • Accurate and complete data collection is a critical, often challenging, aspect of system implementation.
  • Without quality data, detected statistical anomalies lack meaning.

Purpose of the Study:

  • To discuss various data collection methods for surveillance systems.
  • To identify common data feeds used in surveillance.
  • To emphasize the need for alternative data collection strategies based on local resources.

Main Methods:

  • Review of data collection methods for surveillance.
  • Discussion of common electronic and alternative data feeds.
  • Consideration of data source variability across different regions.

Main Results:

  • Data can be collected electronically, via telephone, fax, and email.
  • The utility of a data source is context-dependent and varies by locality.
  • Identifying optimal data sources for a specific area is essential for implementation.

Conclusions:

  • Surveillance systems can succeed despite data limitations.
  • Understanding data and collection method limitations is key for accurate interpretation.
  • Incorporating knowledge of limitations into interpretation procedures ensures system effectiveness.