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Related Concept Videos

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Nursing Evaluation

The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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Integrated Healthcare System

An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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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.
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Related Experiment Video

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Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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Conceptual framework for development of comprehensive e-health evaluation tool.

Shariq Khoja1, Hammad Durrani, Richard E Scott

  • 1AKDN e-Health Resource Centre, The Aga Khan University, Nairobi, Kenya. shariq.khoja@aku.edu

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|September 11, 2012
PubMed
Summary

This study developed a new e-health evaluation tool, the Khoja-Durrani-Scott Framework, to assess technology use in health programs. The framework guides evaluation across e-health program stages and themes for improved outcomes.

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Area of Science:

  • Health Informatics
  • Program Evaluation
  • Digital Health

Background:

  • Evaluating e-health programs requires robust frameworks grounded in relevant theories.
  • Existing evaluation methods may not fully capture the complexities of technology integration in health.

Purpose of the Study:

  • To develop a comprehensive e-health evaluation tool based on a conceptual framework.
  • To integrate relevant theories for evaluating technology use in health programs.
  • To present a structured framework for e-health program evaluation.

Main Methods:

  • A three-stage approach was employed: literature review, theory mapping, and matrix development.
  • Stage 1: Comprehensive literature search on e-health evaluation theories.
  • Stage 2: Identification of key themes by plotting e-health theories.
  • Stage 3: Creation of an evaluation matrix linking themes and program stages.

Main Results:

  • A novel conceptual framework for e-health evaluation was developed.
  • The framework delineates e-health program stages and evaluation themes.
  • It provides a tool to measure factors critical to e-health program success.

Conclusions:

  • The developed framework enhances understanding of e-health program components and their evaluation needs.
  • It facilitates a systematic approach to evaluating e-health initiatives throughout their lifecycle.
  • The Khoja-Durrani-Scott Framework for e-Health Evaluation offers a comprehensive tool for researchers and practitioners.