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Related Concept Videos

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 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 Validation01:03

Data Validation

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.
Nursing assessment guides are generally based on holistic models rather than medical...
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,...
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
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...

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Related Experiment Video

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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

A framework for collecting inclusive design data for the UK population.

Pat Langdon1, Daniel Johnson2, Felicia Huppert3

  • 1Cambridge Engineering Design Centre, University of Cambridge, UK.

Applied Ergonomics
|May 1, 2013
PubMed
Summary

Inclusive product design needs to understand diverse user needs across various contexts. This research proposes a framework and pilot study to measure inclusion, addressing a gap in current design knowledge.

Keywords:
Capability measurementDesign for allDisabilityDisability surveyInclusive design

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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
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Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

Area of Science:

  • Human-Computer Interaction
  • Inclusive Design
  • Product Development

Background:

  • Successful inclusive product design necessitates understanding diverse user capabilities, needs, and contexts.
  • Current research lacks comprehensive data to support the design of products, systems, and services for heterogeneous users.
  • Existing national disability surveys do not adequately inform inclusive design practices.

Purpose of the Study:

  • To outline a strategy for inclusive design research focused on creating foundations for measuring inclusion.
  • To specify and operationalize capability, and psychological, social, and economic context measures for inclusive design.
  • To propose a framework for capturing user information and recommend best practices.

Main Methods:

  • Development of a strategic research approach for inclusive design.
  • Specification and operationalization of capability and contextual measures.
  • Description of an early pilot study to test the proposed framework.

Main Results:

  • Identification of a critical knowledge gap in data supporting inclusive design for heterogeneous users.
  • Proposal of a novel framework for capturing essential user information.
  • Demonstration of an early pilot study indicating feasibility.

Conclusions:

  • A strategic research initiative is needed to build foundational knowledge for measuring inclusion in product design.
  • Operationalizing capability and contextual measures is key to advancing inclusive design.
  • The proposed framework and pilot study offer a path toward better practices in inclusive product development.