Social services and healthcare personnel's digital competence profiles: A Finnish cross-sectional study
Ylönen, Minna; Forsman, Panu; Karvo, Tapio; Jarva, Erika; Antikainen, Teuvo; Kulmala, Petri; Mikkonen, Kristina; Kärkkäinen, Tommi; Hämäläinen, Raija (2024-10-24)
Ylönen, Minna
Forsman, Panu
Karvo, Tapio
Jarva, Erika
Antikainen, Teuvo
Kulmala, Petri
Mikkonen, Kristina
Kärkkäinen, Tommi
Hämäläinen, Raija
Elsevier
24.10.2024
Ylönen, M., Forsman, P., Karvo, T., Jarva, E., Antikainen, T., Kulmala, P., Mikkonen, K., Kärkkäinen, T., & Hämäläinen, R. (2025). Social services and healthcare personnel’s digital competence profiles: A Finnish cross-sectional study. International Journal of Medical Informatics, 193, 105658. https://doi.org/10.1016/j.ijmedinf.2024.105658
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http:/creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http:/creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202509236023
https://urn.fi/URN:NBN:fi:oulu-202509236023
Tiivistelmä
Abstract
Background:
Recent research has highlighted the deficiencies and variations in the digital competences of social services and healthcare personnel. Yet there is a shortage of data regarding how the personnel use digital devices and solutions and their attitudes towards digitalisation. Hence, a systematic investigation into digital devices and solutions in healthcare is warranted.
Objectives:
This study aimed to analyse the similarities and differences in digital competences and organisational support among healthcare personnel, focusing on using digital applications and services. The primary research question was to investigate what kinds of digital competence profiles are identifiable through social services and healthcare personnel self-assessments.
Methods:
The survey was conducted in the Wellbeing Services County of Central Finland at the end of 2023. It utilised validated self-assessment methods and garnered 643 responses from social services and healthcare professionals. Data analysis involved quantitative cluster analysis for grouping participants and qualitative content analysis for describing the clusters.
Results:
The study resulted in a final model of seven clusters that presented distinct digital competence profiles with relatively even sizes. These clusters represented the different aspects of digital usage among social services and healthcare professionals. They could be categorised into three overarching profiles: 1) Motivated digital experts, 2) Burdened digital users and 3) Frustrated survivors. Motivated digital experts comprised up almost half of the respondents (45.1%). Still, the findings also facilitated identifying of a small group of Frustrated survivors (7.5%) who represented burdened and stressed digital users.
Conclusions:
The results indicate significant variances in digital competence profiles among employees. Social services and healthcare personnel perceive the opportunities and challenges associated with digital applications and services differently. Further detailed research into the disparities between digital competence profiles is necessary, particularly regarding the types of support that benefit different profiles the most.
Background:
Recent research has highlighted the deficiencies and variations in the digital competences of social services and healthcare personnel. Yet there is a shortage of data regarding how the personnel use digital devices and solutions and their attitudes towards digitalisation. Hence, a systematic investigation into digital devices and solutions in healthcare is warranted.
Objectives:
This study aimed to analyse the similarities and differences in digital competences and organisational support among healthcare personnel, focusing on using digital applications and services. The primary research question was to investigate what kinds of digital competence profiles are identifiable through social services and healthcare personnel self-assessments.
Methods:
The survey was conducted in the Wellbeing Services County of Central Finland at the end of 2023. It utilised validated self-assessment methods and garnered 643 responses from social services and healthcare professionals. Data analysis involved quantitative cluster analysis for grouping participants and qualitative content analysis for describing the clusters.
Results:
The study resulted in a final model of seven clusters that presented distinct digital competence profiles with relatively even sizes. These clusters represented the different aspects of digital usage among social services and healthcare professionals. They could be categorised into three overarching profiles: 1) Motivated digital experts, 2) Burdened digital users and 3) Frustrated survivors. Motivated digital experts comprised up almost half of the respondents (45.1%). Still, the findings also facilitated identifying of a small group of Frustrated survivors (7.5%) who represented burdened and stressed digital users.
Conclusions:
The results indicate significant variances in digital competence profiles among employees. Social services and healthcare personnel perceive the opportunities and challenges associated with digital applications and services differently. Further detailed research into the disparities between digital competence profiles is necessary, particularly regarding the types of support that benefit different profiles the most.
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