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Related Concept Videos

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Updated: Jan 22, 2026

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Quality in Use in Connected Mental Health: Protocol for a Systematic Mapping Study.

Shweta Premanandan1, Sofia Ouhbi1, Magdalena Ramstedt Stadin2

  • 1Division of Computing Science, Department of Information Technology, Uppsala University, Uppsala, Sweden.

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|January 20, 2026
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Summary
This summary is machine-generated.

This study systematically maps Quality in Use (QiU) in connected mental health (CMH) applications to identify research gaps and evaluation methods. Findings will guide the development of user-centered CMH tools and consistent evaluation practices.

Keywords:
connected mental healthdigital mental health evaluationeHealthhuman-centered evaluationmental health technologiesquality in usesystematic mapping studyusabilityuser-centered design

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Area of Science:

  • Software Engineering
  • Digital Health
  • Human-Computer Interaction

Background:

  • Quality in Use (QiU) is crucial for evaluating digital systems, especially in healthcare.
  • Existing research on QiU in connected mental health (CMH) systems is fragmented and understudied.
  • The rapid growth of CMH technologies necessitates a clearer understanding of QiU conceptualization and evaluation.

Purpose of the Study:

  • To systematically map and synthesize research on QiU within CMH applications.
  • To identify trends, research gaps, evaluation methodologies, and technologies examined for QiU.
  • To provide a foundation for improving user-centered design and evaluation in CMH.

Main Methods:

  • Employing a systematic mapping methodology based on Petersen et al.'s guidelines.
  • Conducting a comprehensive literature search across Scopus, PubMed, IEEE Xplore, and ACM Digital Library.
  • Analyzing literature using eight specific mapping questions covering trends, evaluations, and technologies.

Main Results:

  • Results are pending completion of the study in 2026.
  • Preliminary screening indicates diverse definitions and evaluations of QiU in CMH.
  • A need for systematic synthesis of QiU research in CMH is highlighted.

Conclusions:

  • This systematic mapping study will offer a comprehensive overview of QiU research in CMH.
  • The findings will inform future research directions and the development of CMH tools.
  • The study aims to promote standardized evaluation practices for CMH technologies.