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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...

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Related Experiment Video

Updated: Jun 11, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
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Evaluation Criteria for Weight Management Apps: Validation Using a Modified Delphi Process.

Noemí Robles1,2,3, Elisa Puigdomènech Puig1,3,4, Corpus Gómez-Calderón5

  • 1eHealth Lab Research Group, Universitat Oberta de Catalunya, Barcelona, Spain.

JMIR Mhealth and Uhealth
|July 25, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed criteria for assessing weight management apps, prioritizing security, privacy, and usability. This ensures safer and more effective digital health tools for users seeking to manage their weight.

Keywords:
Delphi techniqueconsensusmHealthobesityoverweighttechnology assessment

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Area of Science:

  • Digital health
  • Health informatics
  • Mobile health

Background:

  • Increasing use of weight management apps highlights a need for evidence on their efficacy and safety.
  • The EVALAPPS project aims to create and validate an assessment tool for these digital health solutions.

Purpose of the Study:

  • Achieve stakeholder consensus on criteria for the EVALAPPS assessment instrument.
  • Refine and prioritize criteria identified through literature review using a modified Delphi process.

Main Methods:

  • A modified Delphi process involving 31 stakeholders over two rounds.
  • Initial criteria pool of 114, refined through relevance ratings and consensus-building.
  • Prioritization based on participant-rated importance and level of consensus.

Main Results:

  • High consensus achieved, with 107 out of 114 criteria (93.9%) accepted.
  • 53 crucial criteria identified, predominantly in security/privacy (24.5%) and usability (17.0%).
  • Other key areas included activity data, clinical effectiveness, and reliability.

Conclusions:

  • Stakeholder consensus confirmed the robustness of identified criteria, especially for security and privacy.
  • Prioritized criteria emphasize health indicators like activity, physical state, and personal data for app assessment.