Information system support for case-based knowledge formation in social welfare: a cross-sectional study

<b>Background:</b> Although client information systems (CIS) should provide social welfare professionals (SWPs) with a comprehensive overview of a client's situation for case-based knowledge formation (CBKF), research into SWPs' user experiences is scarce. <b>Objective</b>: The aim of this study was to examine SWPs' experiences of CISs' support for CBKF. <b>Methods:</b> In 2020, a nationwide cross-sectional CIS usability survey was conducted with 980 respondents in Finland. The 16 questionnaire statements pertained to technical functionality, usability, client information quality and access to case-based information in CISs. The factors contributing to CISs' support for CBKF were analysed using univariable and multiple classification analyses. <b>Results:</b> The strongest predictors of CIS support for CBKF were usability and quality of information. Moreover, SWPs working in institutional care were more satisfied than their colleagues in other working environments. <b>Conclusion</b>: SWPs perceived the CISs' information quality to be good, but there was a need for improvement in usability, for instance, via comprehensive summary views and dashboards of essential information. <b>Implications for health information management practice</b>: The findings highlight that while the information quality of CISs is generally perceived as good, improving usability is crucial for enhancing support for CBKF among SWPs.

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Publication Details

Journal
Health Information Management Journal
Published
2025-06-17
DOI
https://doi.org/10.1177/18333583251343681
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
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article

Information system support for case-based knowledge formation in social welfare: a cross-sectional study

Johanna Viitanen, Tinja Lääveri, Elina Tynkkynen, Samuel Salovaara
Health Information Management Journal
Mobile Health and mHealth Applications
article

Information system support for case-based knowledge formation in social welfare: a cross-sectional study

Johanna Viitanen, Tinja Lääveri, Elina Tynkkynen, Samuel Salovaara
article en

Abstract

<b>Background:</b> Although client information systems (CIS) should provide social welfare professionals (SWPs) with a comprehensive overview of a client's situation for case-based knowledge formation (CBKF), research into SWPs' user experiences is scarce. <b>Objective</b>: The aim of this study was to examine SWPs' experiences of CISs' support for CBKF. <b>Methods:</b> In 2020, a nationwide cross-sectional CIS usability survey was conducted with 980 respondents in Finland. The 16 questionnaire statements pertained to technical functionality, usability, client information quality and access to case-based information in CISs. The factors contributing to CISs' support for CBKF were analysed using univariable and multiple classification analyses. <b>Results:</b> The strongest predictors of CIS support for CBKF were usability and quality of information. Moreover, SWPs working in institutional care were more satisfied than their colleagues in other working environments. <b>Conclusion</b>: SWPs perceived the CISs' information quality to be good, but there was a need for improvement in usability, for instance, via comprehensive summary views and dashboards of essential information. <b>Implications for health information management practice</b>: The findings highlight that while the information quality of CISs is generally perceived as good, improving usability is crucial for enhancing support for CBKF among SWPs.

Health Information Management Journal
University of Helsinki (FI), Helsinki University Hospital (FI), University of Jyväskylä (FI), University of Lapland (FI), Aalto University (FI)
Sosiaali- ja Terveysministeriö
Openalex Percentile: Top 77%
Mobile Health and mHealth Applications
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Information system support for case-based knowledge formation in social welfare: a cross-sectional study — Johanna Viitanen, Tinja Lääveri, et al. · Health Information Management Journal (2025) | TGRS Research Map | TGRS