eHealth tools use and mental health: a cross-sectional network analysis in a representative sample
Abstract eHealth tools usage is vital for health care systems and increased significantly after the COVID-19 pandemic, which aggravated mental health issues. This cross-sectional study explored whether sociodemographic characteristics and mental health indices (stress and symptoms of anxiety and dep...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-55910-z |
| _version_ | 1797274738494537728 |
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| author | Dominika Ochnik Marta Cholewa-Wiktor Monika Jakubiak Magdalena Pataj |
| author_facet | Dominika Ochnik Marta Cholewa-Wiktor Monika Jakubiak Magdalena Pataj |
| author_sort | Dominika Ochnik |
| collection | DOAJ |
| description | Abstract eHealth tools usage is vital for health care systems and increased significantly after the COVID-19 pandemic, which aggravated mental health issues. This cross-sectional study explored whether sociodemographic characteristics and mental health indices (stress and symptoms of anxiety and depression) were linked to the behavioral intention to use eHealth tools and eHealth tools usage in a representative sample from Poland using a network approach. Measurements were conducted in March 2023 among 1000 participants with a mean age of 42.98 (18–87) years, with 51.50% women. The measures included the behavioral intention to use eHealth tools (BI) based on the UTUAT2; eHealth tool use frequency (use behavior) including ePrescription, eSick leave, eReferral, electronic medical documentation (EMD), Internet Patient Account (IKP), telephone consultation, video consultation, mobile health applications, and private and public health care use; and the PSS-4, GAD-2, and PHQ-2. Furthermore, sociodemographic factors (sex, age, children, relationship status, education, and employment) were included in the research model. Network analysis revealed that mental health indices were weakly related to eHealth tools use. Higher stress was positively linked with mobile health application use but negatively linked to video consultation use. Use of various eHealth tools was intercorrelated. Sociodemographic factors were differentially related to the use of the eight specific eHealth tools. Although mental health indices did not have strong associations in the eHealth tools use network, attention should be given to anxiety levels as the factor with the high expected influence. |
| first_indexed | 2024-03-07T15:02:33Z |
| format | Article |
| id | doaj.art-a6461cebccc74302a839a5c44288fec9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:02:33Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-a6461cebccc74302a839a5c44288fec92024-03-05T19:03:53ZengNature PortfolioScientific Reports2045-23222024-03-0114111810.1038/s41598-024-55910-zeHealth tools use and mental health: a cross-sectional network analysis in a representative sampleDominika Ochnik0Marta Cholewa-Wiktor1Monika Jakubiak2Magdalena Pataj3Faculty of Medicine, Department of Social Sciences, Academy of SilesiaFaculty of Management, Department of Marketing, Lublin University of TechnologyFaculty of Economics, Institute of Management and Quality Sciences, Maria Curie-Sklodowska University in LublinFaculty of Political Science and Journalism, Institute of Social Communication and Media, Maria Curie-Skłodowska UniversityAbstract eHealth tools usage is vital for health care systems and increased significantly after the COVID-19 pandemic, which aggravated mental health issues. This cross-sectional study explored whether sociodemographic characteristics and mental health indices (stress and symptoms of anxiety and depression) were linked to the behavioral intention to use eHealth tools and eHealth tools usage in a representative sample from Poland using a network approach. Measurements were conducted in March 2023 among 1000 participants with a mean age of 42.98 (18–87) years, with 51.50% women. The measures included the behavioral intention to use eHealth tools (BI) based on the UTUAT2; eHealth tool use frequency (use behavior) including ePrescription, eSick leave, eReferral, electronic medical documentation (EMD), Internet Patient Account (IKP), telephone consultation, video consultation, mobile health applications, and private and public health care use; and the PSS-4, GAD-2, and PHQ-2. Furthermore, sociodemographic factors (sex, age, children, relationship status, education, and employment) were included in the research model. Network analysis revealed that mental health indices were weakly related to eHealth tools use. Higher stress was positively linked with mobile health application use but negatively linked to video consultation use. Use of various eHealth tools was intercorrelated. Sociodemographic factors were differentially related to the use of the eight specific eHealth tools. Although mental health indices did not have strong associations in the eHealth tools use network, attention should be given to anxiety levels as the factor with the high expected influence.https://doi.org/10.1038/s41598-024-55910-zeHealth managementeHealth tool useMental healthUTUAT2Network analysis |
| spellingShingle | Dominika Ochnik Marta Cholewa-Wiktor Monika Jakubiak Magdalena Pataj eHealth tools use and mental health: a cross-sectional network analysis in a representative sample Scientific Reports eHealth management eHealth tool use Mental health UTUAT2 Network analysis |
| title | eHealth tools use and mental health: a cross-sectional network analysis in a representative sample |
| title_full | eHealth tools use and mental health: a cross-sectional network analysis in a representative sample |
| title_fullStr | eHealth tools use and mental health: a cross-sectional network analysis in a representative sample |
| title_full_unstemmed | eHealth tools use and mental health: a cross-sectional network analysis in a representative sample |
| title_short | eHealth tools use and mental health: a cross-sectional network analysis in a representative sample |
| title_sort | ehealth tools use and mental health a cross sectional network analysis in a representative sample |
| topic | eHealth management eHealth tool use Mental health UTUAT2 Network analysis |
| url | https://doi.org/10.1038/s41598-024-55910-z |
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