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Data-Driven Infectious Disease Control: Qualitative Study of Professionals' Attitudes, Barriers, and Needs.

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Titel: Data-Driven Infectious Disease Control: Qualitative Study of Professionals' Attitudes, Barriers, and Needs.
Autoren: van Deursen B; Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Infectious Disease Control, Public Health Service region Utrecht, Zeist, The Netherlands., van Jaarsveld CHM; Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands., van der Bruggen T; Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands., Raven S; Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.; Department of Infectious Disease Control, Public Health Service region Utrecht, Zeist, The Netherlands., Swillens JEM; IQ Health Science Department, Radboud University Medical Center, Nijmegen, The Netherlands., Timen A; Department of Primary and Community Care, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.
Quelle: Journal of medical Internet research [J Med Internet Res] 2025 Nov 17; Vol. 27, pp. e81036. Date of Electronic Publication: 2025 Nov 17.
Publikationsart: Journal Article
Sprache: English
Info zur Zeitschrift: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
Imprint Name(s): Publication: <2011- > : Toronto : JMIR Publications
Original Publication: [Pittsburgh, PA? : s.n., 1999-
MeSH-Schlagworte: Attitude of Health Personnel* , Communicable Disease Control*/methods , Health Knowledge, Attitudes, Practice* , Health Personnel*/psychology, Humans ; Netherlands ; Focus Groups ; Qualitative Research ; Male ; Female ; Adult ; Middle Aged
Abstract: Background: Data-driven strategies are increasingly integrated into infectious disease control (IDC), enabling professionals to act in a timely and proactive manner; however, their implementation requires alignment with professionals' needs. Little is known about professionals' views on data-driven IDC.
Objective: This study aims to assess IDC professionals' knowledge, attitudes, and perceptions toward working in a data-driven manner, as well as their needs, facilitators, and barriers.
Methods: We conducted exploratory online focus group discussions (FGDs) with IDC professionals from the Public Health Services (PHSs) in the Netherlands. FGDs were organized by profession, followed by a final mixed-group session that included medical doctors, nurses, infection preventionists, epidemiologists, policy advisors, project leaders, and managers working in IDC. The topic guide was based on the Attitude-Social Influence-Efficacy model and the Consolidated Framework for Implementation Research, complemented with questions on current practices within the PHS related to data-driven work (DDW). Framework and thematic analyses were performed.
Results: Between September 2024 and January 2025, nine FGDs were conducted with 36 IDC professionals. Five main themes emerged: (1) context of the work environment, (2) interpretation of DDW in the context of IDC, (3) added value of DDW, (4) views on team participation, and (5) perspectives on development and implementation. While participants mentioned that some data-driven strategies were already implemented within the PHS, they observed that data were not often translated into action. Attitudes toward DDW varied across participants, particularly regarding its definition, application in daily practice, the importance of data interpretation by professionals, results, implementation, and added value. Participation in DDW varied within teams and was influenced by role, interest, workload, time, knowledge, and willingness to change. Participants also identified various facilitators, barriers, and needs at the individual, process, and organizational levels, such as a national approach of data-driven IDC guided by a shared vision, defined role assignments, and clear protocols for data registration.
Conclusions: In this study, IDC professionals generally expressed a positive attitude toward DDW but also identified several barriers and needs for future implementation. The limited translation of data into action was viewed as untapped potential. To support effective data-driven IDC, we recommend investing in a supportive work environment that promotes a clear, shared definition of DDW, including defined roles and responsibilities. By doing so, IDC professionals can shift from reactive to strategic, data-informed action and be better equipped future public health threats.
(©Babette van Deursen, Cornelia H M van Jaarsveld, Tessa van der Bruggen, Stijn Raven, Julie E M Swillens, Aura Timen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.11.2025.)
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Contributed Indexing: Keywords: attitude of health personnel; communicable disease control; data-driven decision making; public health informatics; qualitative research
Entry Date(s): Date Created: 20251117 Date Completed: 20251117 Latest Revision: 20251205
Update Code: 20251205
PubMed Central ID: PMC12670049
DOI: 10.2196/81036
PMID: 41248479
Datenbank: MEDLINE
Beschreibung
Abstract:Background: Data-driven strategies are increasingly integrated into infectious disease control (IDC), enabling professionals to act in a timely and proactive manner; however, their implementation requires alignment with professionals' needs. Little is known about professionals' views on data-driven IDC.<br />Objective: This study aims to assess IDC professionals' knowledge, attitudes, and perceptions toward working in a data-driven manner, as well as their needs, facilitators, and barriers.<br />Methods: We conducted exploratory online focus group discussions (FGDs) with IDC professionals from the Public Health Services (PHSs) in the Netherlands. FGDs were organized by profession, followed by a final mixed-group session that included medical doctors, nurses, infection preventionists, epidemiologists, policy advisors, project leaders, and managers working in IDC. The topic guide was based on the Attitude-Social Influence-Efficacy model and the Consolidated Framework for Implementation Research, complemented with questions on current practices within the PHS related to data-driven work (DDW). Framework and thematic analyses were performed.<br />Results: Between September 2024 and January 2025, nine FGDs were conducted with 36 IDC professionals. Five main themes emerged: (1) context of the work environment, (2) interpretation of DDW in the context of IDC, (3) added value of DDW, (4) views on team participation, and (5) perspectives on development and implementation. While participants mentioned that some data-driven strategies were already implemented within the PHS, they observed that data were not often translated into action. Attitudes toward DDW varied across participants, particularly regarding its definition, application in daily practice, the importance of data interpretation by professionals, results, implementation, and added value. Participation in DDW varied within teams and was influenced by role, interest, workload, time, knowledge, and willingness to change. Participants also identified various facilitators, barriers, and needs at the individual, process, and organizational levels, such as a national approach of data-driven IDC guided by a shared vision, defined role assignments, and clear protocols for data registration.<br />Conclusions: In this study, IDC professionals generally expressed a positive attitude toward DDW but also identified several barriers and needs for future implementation. The limited translation of data into action was viewed as untapped potential. To support effective data-driven IDC, we recommend investing in a supportive work environment that promotes a clear, shared definition of DDW, including defined roles and responsibilities. By doing so, IDC professionals can shift from reactive to strategic, data-informed action and be better equipped future public health threats.<br /> (©Babette van Deursen, Cornelia H M van Jaarsveld, Tessa van der Bruggen, Stijn Raven, Julie E M Swillens, Aura Timen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.11.2025.)
ISSN:1438-8871
DOI:10.2196/81036