Social services and healthcare personnel’s digital competence profiles: A Finnish cross-sectional study

•DigiHealthCom and DigiComInf instruments facilitate the identification of distinct user profiles among SSH personnel.•The development of digital reforms should specifically address the needs of Burdened digital users and Frustrated survivors.•The social and health care personnel training can be dev...

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Published in:International journal of medical informatics (Shannon, Ireland) Vol. 193; p. 105658
Main Authors: Ylönen, Minna, Forsman, Panu, Karvo, Tapio, Jarva, Erika, Antikainen, Teuvo, Kulmala, Petri, Mikkonen, Kristina, Kärkkäinen, Tommi, Hämäläinen, Raija
Format: Journal Article
Language:English
Published: Ireland Elsevier B.V 01-01-2025
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Summary:•DigiHealthCom and DigiComInf instruments facilitate the identification of distinct user profiles among SSH personnel.•The development of digital reforms should specifically address the needs of Burdened digital users and Frustrated survivors.•The social and health care personnel training can be developed based on the identified digital competence profiles. 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. 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. 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. 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. 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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ISSN:1386-5056
1872-8243
1872-8243
DOI:10.1016/j.ijmedinf.2024.105658