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De Santis-et-al_2021_Digitization and Health in Germany.pdf 340,98KB
WeightNameValue
1000 Titel
  • Digitization and Health in Germany: Cross-sectional Nationwide Survey
1000 Autor/in
  1. De Santis, Karina Karolina |
  2. Jahnel, Tina |
  3. Sina, Elida |
  4. Wienert, Julian |
  5. Zeeb, Hajo |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-11-22
1000 Erschienen in
1000 Quellenangabe
  • 7(11):e32951
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.2196/32951 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8612128/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Digital technologies are shaping medicine and public health. OBJECTIVE: The aim of this study was to investigate the attitudes toward and the use of digital technologies for health-related purposes using a nationwide survey. METHODS: We performed a cross-sectional study using a panel sample of internet users selected from the general population living in Germany. Responses to a survey with 28 items were collected using computer-assisted telephone interviews conducted in October 2020. The items were divided into four topics: (1) general attitudes toward digitization, (2) COVID-19 pandemic, (3) physical activity, and (4) perceived digital health (eHealth) literacy measured with the eHealth Literacy Scale (eHEALS; sum score of 8=lowest to 40=highest perceived eHealth literacy). The data were analyzed in IBM-SPSS24 using relative frequencies. Three univariate multiple regression analyses (linear or binary logistic) were performed to investigate the associations among the sociodemographic factors (age, gender, education, and household income) and digital technology use. RESULTS: The participants included 1014 internet users (n=528, 52.07% women) aged 14 to 93 years (mean 54, SD 17). Among all participants, 66.47% (674/1014) completed up to tertiary (primary and secondary) education and 45.07% (457/1017) reported a household income of up to 3500 Euro/month (1 Euro=US $1.18). Over half (579/1014, 57.10%) reported having used digital technologies for health-related purposes. The majority (898/1014, 88.56%) noted that digitization will be important for therapy and health care, in the future. Only 25.64% (260/1014) reported interest in smartphone apps for health promotion/prevention and 42.70% (433/1014) downloaded the COVID-19 contact-tracing app. Although 52.47% (532/1014) reported that they come across inaccurate digital information on the COVID-19 pandemic, 78.01% (791/1014) were confident in their ability to recognize such inaccurate information. Among those who use digital technologies for moderate physical activity (n=220), 187 (85.0%) found such technologies easy to use and 140 (63.6%) reported using them regularly (at least once a week). Although the perceived eHealth literacy was high (eHEALS mean score 31 points, SD 6), less than half (43.10%, 400/928) were confident in using digital information for health decisions. The use of digital technologies for health was associated with higher household income (odds ratio [OR] 1.28, 95% CI 1.11-1.47). The use of digital technologies for physical activity was associated with younger age (OR 0.95, 95% CI 0.94-0.96) and more education (OR 1.22, 95% CI 1.01-1.46). A higher perceived eHealth literacy score was associated with younger age (β=–.22, P<.001), higher household income (β=.21, P<.001), and more education (β=.14, P<.001). CONCLUSIONS: Internet users in Germany expect that digitization will affect preventive and therapeutic health care in the future. The facilitators and barriers associated with the use of digital technologies for health warrant further research. A gap exists between high confidence in the perceived ability to evaluate digital information and low trust in internet-based information on the COVID-19 pandemic and health decisions.
1000 Sacherschließung
lokal eHEALS
lokal Digital health
lokal Literacy
lokal General population
lokal Attitude
lokal Usage
lokal Physical activity
lokal COVID-19
lokal Misinformation
lokal Survey
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7647-6767|https://orcid.org/0000-0002-8367-4574|https://orcid.org/0000-0002-2926-2480|https://orcid.org/0000-0003-1246-7591|https://orcid.org/0000-0001-7509-242X
1000 Label
1000 Förderer
  1. Stiftung Bremer Wertpapierbörse |
  2. Leibniz-Gemeinschaft |
  3. Federal State of Bremen |
  4. Leibniz Institute for Prevention Research and Epidemiology |
1000 Fördernummer
  1. -
  2. W4/2018
  3. -
  4. -
1000 Förderprogramm
  1. -
  2. Open Access Fund
  3. -
  4. -
1000 Dateien
  1. Digitization and Health in Germany: Cross-sectional Nationwide Survey
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Stiftung Bremer Wertpapierbörse |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Leibniz-Gemeinschaft |
    1000 Förderprogramm Open Access Fund
    1000 Fördernummer W4/2018
  3. 1000 joinedFunding-child
    1000 Förderer Federal State of Bremen |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Leibniz Institute for Prevention Research and Epidemiology |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6431388.rdf
1000 Erstellt am 2022-02-04T12:10:10.924+0100
1000 Erstellt von 266
1000 beschreibt frl:6431388
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Tue Apr 19 12:25:16 CEST 2022
1000 Objekt bearb. Tue Apr 19 12:25:15 CEST 2022
1000 Vgl. frl:6431388
1000 Oai Id
  1. oai:frl.publisso.de:frl:6431388 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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