Volltext-Downloads (blau) und Frontdoor-Views (grau)

Suitability and user acceptance of the eResearch system “Prospective Monitoring and Management App (PIA)” — The example of an epidemiological study on infectious diseases

  • Background The eResearch system “Prospective Monitoring and Management App (PIA)” allows researchers to implement questionnaires on any topic and to manage biosamples. Currently, we use PIA in the longitudinal study ZIFCO (Integrated DZIF Infection Cohort within the German National Cohort) in Hannover (Germany) to investigate e.g. associations of risk factors and infectious diseases. Our aim was to assess user acceptance and compliance to determine suitability of PIA for epidemiological research on transient infectious diseases. Methods ZIFCO participants used PIA to answer weekly questionnaires on health status and report spontaneous onset of symptoms. In case of symptoms of a respiratory infection, the app requested participants to self-sample a nasal swab for viral analysis. To assess user acceptance, we implemented the System Usability Scale (SUS) and fitted a linear regression model on the resulting score. For investigation of compliance with submitting the weekly health questionnaires, we used a logistic regression model with binomial response. Results We analyzed data of 313 participants (median age 52.5 years, 52.4% women). An average SUS of 72.0 reveals good acceptance of PIA. Participants with a higher technology readiness score at the beginning of study participation also reported higher user acceptance. Overall compliance with submitting the weekly health questionnaires showed a median of 55.7%. Being female, of younger age and being enrolled for a longer time decreased the odds to respond. However, women over 60 had a higher chance to respond than women under 60, while men under 40 had the highest chance to respond. Compliance with nasal swab self-sampling was 77.2%. Discussion Our findings show that PIA is suitable for the use in epidemiologic studies with regular short questionnaires. Still, we will focus on user engagement and gamification for the further development of PIA to help incentivize regular and long-term participation.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Julia OrtmannORCiD, Jana-Kristin HeiseORCiD, Irina JanzenORCiD, Felix Jenniches, Yvonne Kemmling, Cornelia FrömkeORCiDGND, Stefanie CastellORCiD
URN:urn:nbn:de:bsz:960-opus4-24203
DOI:https://doi.org/10.25968/opus-2420
DOI original:https://doi.org/10.1371/journal.pone.0279969
ISSN:1932-6203
Parent Title (English):PLoS ONE
Document Type:Article
Language:English
Year of Completion:2023
Publishing Institution:Hochschule Hannover
Release Date:2023/01/11
Tag:Germany; age group; epidemiology; gastrointestinal infection; infectious desease; linear regression analysis; questionnaire; respiratory infection
GND Keyword:Altersgruppe; Fragebogen; Infektionskrankheit; Epidemiologie
Volume:18
Issue:1
Article Number:e0279969
Page Number:15
Institutes:Fakultät III - Medien, Information und Design
DDC classes:610 Medizin, Gesundheit
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International