Mobile Applications for Longitudinal Data Collection: Web-based Survey Study of Former Intensive Care Patients.
Purpose: Mobile health plays an important role in providing individualized information about the health status of patients. Limited information exists on intensive care unit (ICU) patients with the risk of suffering from the post-intensive care syndrome (PICS), summarizing long-term physical, mental...
| Publicado en: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 9 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
1/31/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183076983&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183076983 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 1/31/2025 vid: 49 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183076983 183076983 183076983 10.1007/s10916-025-02151-w 183076983 ppf: 1 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Mobile Applications for Longitudinal Data Collection: Web-based Survey Study of Former Intensive Care Patients. aug: au: Molinnus, Denise Mainz, Anne Kurth, Angelique Lowitsch, Volker Nüchter, Matthias Bloos, Frank Wendt, Thomas Potratz, Philipp Marx, Gernot Meister, Sven Bickenbach, Johannes affil: https://ror.org/04xfq0f34 Department of Intensive Care Medicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany sug: subj: Critically Ill Patients Patient Discharge Needs Assessment Mobile Applications Evaluation Data Collection Methods Intensive Care Units Syndrome Risk Factors Risk Assessment Human Germany Patient Attitudes Telehealth Digital Health Smartphone Multicenter Studies Quality Assurance Quantitative Studies Male Female Adolescence Adult Middle Age Aged Aged, 80 and Over Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Purpose: Mobile health plays an important role in providing individualized information about the health status of patients. Limited information exists on intensive care unit (ICU) patients with the risk of suffering from the post-intensive care syndrome (PICS), summarizing long-term physical, mental and cognitive impairment. This web-based survey study aims to identify specific needs of former ICU patients for utilizing a newly developed, so called Post-Intensive Care Outcome Surveillance (PICOS) app to collect relevant PICS-related parameters. Methods: A prototype app was developed following interaction principles for interactive systems of usability engineering. Patients from four different German hospitals were asked about demographics, interaction with technology and their perception of the prototype regarding hedonic motivation, perceived ease of use and performance expectancy. Results: 123 patients participated in the survey; the majority owned and used smartphones. Nearly half of respondents would seek help from family members or caregivers using the app. There was a difference in affinity for technology for participants who own a smartphone and those who do not, t(116) = − 0.97, p =.335, and no significant difference in affinity for technology whether the participants would like support when using the app or not, t(97) = 1.81, p =.073. The average hedonic motivation for using the app was M = 4.44 (SD = 1.304). Conclusion: This app prototype was perceived as both beneficial and easy to use, indicating its success among former ICU patients. Due to aging and ongoing health impairments, every second patient would need assistance with the initial use of the app. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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