Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Data Collectors' Design Preferences for Mobile Electronic Data Capturing Forms.

Alice Mugisha1, Ole Andreas Krumsvik2, Thorkild Tylleskar1

  • 1Centre for International Health, University of Bergen, Norway.

Studies in Health Technology and Informatics
|July 4, 2018
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Visual Digital Twins for Arthroplasty: Conceptual Dashboards Integrating Patient Clusters and Clinical Pathways.

Studies in health technology and informatics·2026
Same author

ICD-10 and SNOMED CT Representations of Cognitive Decline in All of Us.

Studies in health technology and informatics·2026
Same author

Digital Cousins in Arthroplasty: An Interpretable Clustering Framework.

Studies in health technology and informatics·2026
Same author

Clinical Pathways and Digital Twins in MIMIC-IV: A Proof-of-Concept Study.

Studies in health technology and informatics·2026
Same author

Maternal HIV viral load threshold for guiding extended infant prophylaxis.

The Journal of infection·2026
Same author

Designing a Multimodal Data Structure for Cognitive Decline Using All of Us Resources and Gemini Flash Thinking.

Studies in health technology and informatics·2026

Data collectors

Area of Science:

  • Health Informatics
  • Human-Computer Interaction

Background:

  • Mobile Electronic Data Collection Forms (MEDCFs) are crucial for collecting health data, especially in remote regions.
  • The usability and user acceptance of MEDCFs by data collectors are often overlooked, impacting data quality and health decisions.

Purpose of the Study:

  • To gather design preferences from data collectors to enhance their experience with MEDCFs.
  • To identify specific features that would improve the usability of MEDCFs.

Main Methods:

  • A mid-fidelity prototype of MEDCFs was developed and tested.
  • Forty-eight data collectors in Uganda interacted with the prototype and completed a semi-structured usability questionnaire.
  • User feedback was collected on content presentation, navigation, error handling, data input, and progress visualization.
Keywords:
Mobile Electronic Data Capturing Forms (MEDCFs)User Centred Design (UCD)data collectorsmid-fidelity prototypeuser experience

Related Experiment Videos

Main Results:

  • Detailed feedback was obtained on various aspects of MEDCF design.
  • Key areas for improvement include form content presentation, navigation, error management, data entry, and progress status indicators.
  • Data collectors expressed preferences that could significantly enhance their interaction with the forms.

Conclusions:

  • Involving end-users in the design process of MEDCFs is essential.
  • Applying User-Centred Design (UCD) principles can improve the usability and effectiveness of MEDCFs.
  • Enhanced usability of MEDCFs can lead to better data quality and more informed health decisions.