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Related Concept Videos

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.
Nursing Assessment01:29

Nursing Assessment

The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments and...
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,...
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...

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Related Experiment Video

Updated: Jul 17, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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

Published on: July 27, 2018

Primary data collection in health technology assessment.

Michelle L McIsaac1, Ron Goeree, James M Brophy

  • 1McGill University and University of Montreal Health Centres, and Department of Community Health Sciences, University of Calgary, 1403-29 Street NW, Calgary, Alberta, Canada. michelle.mcisaac@ucalgary.ca

International Journal of Technology Assessment in Health Care
|January 20, 2007
PubMed
Summary

Primary data collection enhances health technology assessment (HTA) by reducing uncertainty for evidence-based decisions. Successful HTA requires experienced researchers, funding, and stakeholder coordination for this valuable endeavor.

Related Experiment Videos

Last Updated: Jul 17, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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:

  • Health Technology Assessment (HTA)
  • Evidence-Based Decision Making
  • Health Economics

Background:

  • Health Technology Assessment (HTA) relies on robust data to inform healthcare decisions.
  • Uncertainty in HTA can stem from limited or suboptimal data.
  • Primary data collection is proposed as a method to address these data gaps.

Purpose of the Study:

  • To evaluate the value and conditions for primary data collection within the HTA process.
  • To identify methodological and practical challenges associated with primary data collection in HTA.
  • To provide recommendations for optimizing primary data collection in HTA.

Main Methods:

  • The study reviews the role and challenges of primary data collection in HTA.
  • It emphasizes the importance of appropriate study design and assessing the value of additional data.
  • Key success factors such as researcher expertise, funding, and stakeholder coordination are highlighted.

Main Results:

  • Primary data collection can significantly reduce uncertainty in HTA.
  • Methodological and practical considerations are crucial for effective implementation.
  • Successful primary data collection necessitates experienced researchers, adequate funding, and strong stakeholder collaboration.

Conclusions:

  • Primary data collection is a valuable component of the HTA process when conducted under specific conditions.
  • Addressing methodological and practical challenges is essential for maximizing its utility.
  • Investment in experienced personnel, funding, and coordination can ensure the success of primary data collection in HTA.