Background: Advanced Computerized Decision Support Systems (CDSSs) assist clinicians in their decision-making process, generating recommendations based on up-to-date scientific evidence. Although this technology has the potential to improve the quality of patient care, its mere provision does not guarantee uptake: even where CDSSs are available, clinicians often fail to adopt their recommendations. This study examines the barriers and facilitators to the uptake of an evidence-based CDSS as perceived by diverse health professionals in hospitals at different stages of CDSS adoption. Methods: Qualitative study conducted as part of a series of randomized controlled trials of CDSSs. The sample includes two hospitals using a CDSS and two hospitals that aim to adopt a CDSS in the future. We interviewed physicians, nurses, information technology staff, and members of the boards of directors (n=30). We used a constant comparative approach to develop a framework for guiding implementation. Results: We identified six clusters of experiences of, and attitudes towards CDSSs, which we label as "positions." The six positions represent a gradient of acquisition of control over CDSSs (from low to high) and are characterized by different types of barriers to CDSS uptake. The most severe barriers (prevalent in the first positions) include clinicians' perception that the CDSSs may reduce their professional autonomy or may be used against them in the event of medical-legal controversies. Moving towards the last positions, these barriers are substituted by technical and usability problems related to the technology interface. When all barriers are overcome, CDSSs are perceived as a working tool at the service of its users, integrating clinicians' reasoning and fostering organizational learning. Conclusions: Barriers and facilitators to the use of CDSSs are dynamic and may exist prior to their introduction in clinical contexts; providing a static list of obstacles and facilitators, irrespective of the specific implementation phase and context, may not be sufficient or useful to facilitate uptake. Factors such as clinicians' attitudes towards scientific evidences and guidelines, the quality of inter-disciplinary relationships, and an organizational ethos of transparency and accountability need to be considered when exploring the readiness of a hospital to adopt CDSSs.

What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation / E.G. Liberati, F. Ruggiero, L. Galuppo, M. Gorli, M. González-Lorenzo, M. Maraldi, P. Ruggieri, H.P. Friz, G. Scaratti, K.H. Kwag, R. Vespignani, L. Moja. - In: IMPLEMENTATION SCIENCE. - ISSN 1748-5908. - 12:1(2017 Sep 15), pp. 113.1-113.13.

What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

M. González-Lorenzo;L. Moja
Ultimo
2017

Abstract

Background: Advanced Computerized Decision Support Systems (CDSSs) assist clinicians in their decision-making process, generating recommendations based on up-to-date scientific evidence. Although this technology has the potential to improve the quality of patient care, its mere provision does not guarantee uptake: even where CDSSs are available, clinicians often fail to adopt their recommendations. This study examines the barriers and facilitators to the uptake of an evidence-based CDSS as perceived by diverse health professionals in hospitals at different stages of CDSS adoption. Methods: Qualitative study conducted as part of a series of randomized controlled trials of CDSSs. The sample includes two hospitals using a CDSS and two hospitals that aim to adopt a CDSS in the future. We interviewed physicians, nurses, information technology staff, and members of the boards of directors (n=30). We used a constant comparative approach to develop a framework for guiding implementation. Results: We identified six clusters of experiences of, and attitudes towards CDSSs, which we label as "positions." The six positions represent a gradient of acquisition of control over CDSSs (from low to high) and are characterized by different types of barriers to CDSS uptake. The most severe barriers (prevalent in the first positions) include clinicians' perception that the CDSSs may reduce their professional autonomy or may be used against them in the event of medical-legal controversies. Moving towards the last positions, these barriers are substituted by technical and usability problems related to the technology interface. When all barriers are overcome, CDSSs are perceived as a working tool at the service of its users, integrating clinicians' reasoning and fostering organizational learning. Conclusions: Barriers and facilitators to the use of CDSSs are dynamic and may exist prior to their introduction in clinical contexts; providing a static list of obstacles and facilitators, irrespective of the specific implementation phase and context, may not be sufficient or useful to facilitate uptake. Factors such as clinicians' attitudes towards scientific evidences and guidelines, the quality of inter-disciplinary relationships, and an organizational ethos of transparency and accountability need to be considered when exploring the readiness of a hospital to adopt CDSSs.
English
Clinical decision support systems; Evidence-based medicine; Health information technology; Healthcare professions; Qualitative research; Medicine (all); Health Policy; Health Informatics; Public Health, Environmental and Occupational Health
Settore MED/42 - Igiene Generale e Applicata
Articolo
Esperti anonimi
Ricerca applicata
Pubblicazione scientifica
   Effect on professional practice and health care outcomes of computerized evidence-based information system and clinical decision support: a randoized controlled trial in orthopedics
   MINISTERO DELLA SALUTE
   Gr-2009-1606736
15-set-2017
BioMed Central
12
1
113
1
13
13
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Periodico con rilevanza internazionale
scopus
pubmed
crossref
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info:eu-repo/semantics/article
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation / E.G. Liberati, F. Ruggiero, L. Galuppo, M. Gorli, M. González-Lorenzo, M. Maraldi, P. Ruggieri, H.P. Friz, G. Scaratti, K.H. Kwag, R. Vespignani, L. Moja. - In: IMPLEMENTATION SCIENCE. - ISSN 1748-5908. - 12:1(2017 Sep 15), pp. 113.1-113.13.
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E.G. Liberati, F. Ruggiero, L. Galuppo, M. Gorli, M. González-Lorenzo, M. Maraldi, P. Ruggieri, H.P. Friz, G. Scaratti, K.H. Kwag, R. Vespignani, L. M...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/526026
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