Suitability and user acceptance of the eResearch system "Prospective Monitoring and Management App (PIA)"-The example of an epidemiological study on infectious diseases.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 21 01 2022
accepted: 19 12 2022
entrez: 3 1 2023
pubmed: 4 1 2023
medline: 6 1 2023
Statut: epublish

Résumé

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. 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. 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%. 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.

Sections du résumé

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.

Identifiants

pubmed: 36595548
doi: 10.1371/journal.pone.0279969
pii: PONE-D-22-02047
pmc: PMC9810156
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0279969

Informations de copyright

Copyright: © 2023 Ortmann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Julia Ortmann (J)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.

Jana-Kristin Heise (JK)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.
German Centre of Infection Research (DZIF), Brunswick, Lower Saxony, Germany.

Irina Janzen (I)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.

Felix Jenniches (F)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.

Yvonne Kemmling (Y)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.

Cornelia Frömke (C)

Hannover University of Applied Sciences and Arts, Hanover, Lower Saxony, Germany.

Stefanie Castell (S)

Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Lower Saxony, Germany.
German Centre of Infection Research (DZIF), Brunswick, Lower Saxony, Germany.

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