Digital interventions for antimicrobial prescribing and monitoring: a qualitative meta-synthesis of factors influencing user acceptance

Author:

Van Dort Bethany A1ORCID,Carland Jane E23,Penm Jonathan45,Ritchie Angus67,Baysari Melissa T1ORCID

Affiliation:

1. Biomedical Informatics and Digital Health, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health, The University of Sydney , Sydney, New South Wales, Australia

2. Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital Sydney , Sydney, New South Wales, Australia

3. St Vincent’s Clinical School, UNSW Sydney , Sydney, New South Wales, Australia

4. School of Pharmacy, Faculty of Medicine and Health, The University of Sydney , Sydney, New South Wales, Australia

5. Department of Pharmacy, Prince of Wales Hospital , Randwick, New South Wales, Australia

6. Health Informatics Unit, Sydney Local Health District , Camperdown, New South Wales, Australia

7. Faculty of Medicine and Health, Concord Clinical School, The University of Sydney , Sydney, New South Wales, Australia

Abstract

Abstract Objective To understand and synthesize factors influencing user acceptance of digital interventions used for antimicrobial prescribing and monitoring in hospitals. Materials and Methods A meta-synthesis was conducted to identify qualitative studies that explored user acceptance of digital interventions for antimicrobial prescribing and/or monitoring in hospitals. Databases were searched and qualitative data were extracted and systematically classified using the unified theory of acceptance and use of technology (UTAUT) model. Results Fifteen qualitative studies met the inclusion criteria. Eleven papers used interviews and four used focus groups. Most digital interventions evaluated in studies were decision support for prescribing (n = 13). Majority of perceptions were classified in the UTAUT performance expectancy domain in perceived usefulness and relative advantage constructs. Key facilitators in this domain included systems being trusted and credible sources of information, improving performance of tasks and increasing efficiency. Reported barriers were that interventions were not considered useful for all settings or patient conditions. Facilitating conditions was the second largest domain, which highlights the importance of users having infrastructure to support system use. Digital interventions were viewed positively if they were compatible with values, needs, and experiences of users. Conclusions User perceptions that drive users to accept and utilize digital interventions for antimicrobial prescribing and monitoring were predominantly related to performance expectations and facilitating conditions. To ensure digital interventions for antimicrobial prescribing are accepted and used, we recommend organizations ensure systems are evaluated and benefits are conveyed to users, that utility meets expectations, and that appropriate infrastructure is in place to support use.

Funder

Australian Government Research Training Program (RTP) Scholarship to BAVD

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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