Antimicrobial resistance poses a serious global public health threat. Hospital misuse of antibiotics has contributed to this problem and evidence-based interventions are urgently needed to change inappropriate prescribing practices. This paper reports the first theoretical stage of a longer-term project to improve antibiotic prescribing in hospitals through design of an effective behaviour-change intervention.
Qualitative synthesis using meta-ethnography of primary studies reporting doctors’ views and experiences of antibiotic prescribing in hospitals for example, their barriers to appropriate prescribing. Twenty electronic databases were systematically searched over a 10-year period and potential studies screened against eligibility criteria. Included studies were quality-appraised. Original participant quotes and author interpretations were extracted and coded thematically into NVivo. All study processes were conducted by two reviewers working independently with findings discussed with the wider team and key stakeholders. Studies were related by findings into clusters and translated reciprocally and refutationally to develop a new line-of-argument synthesis and conceptual model. Findings are reported using eMERGe guidance.
Fifteen papers (13 studies) conducted between 2007–2017 reporting the experiences of 336 doctors of varying seniority working in acute hospitals across seven countries, were synthesised. Study findings related in four ways which collectively represented multiple challenges to appropriate antibiotic medical prescribing in hospitals: loss of ownership of prescribing decisions, tension between individual care and public health concerns, evidence-based practice versus bedside medicine, and diverse priorities between different clinical teams. The resulting new line-of-argument and conceptual model reflected how these challenges operated on both micro- and macro-level, highlighting key areas for improving current prescribing practice, such as creating feedback mechanisms, normalising input from other specialties and reducing variation in responsibility for antibiotic decisions.
This first meta-ethnography of doctors` experiences of antibiotic prescribing in acute hospital settings has enabled development of a novel conceptual model enhancing understanding of appropriate antibiotic prescribing. That is, hospital antibiotic prescribing is a complex, context-dependent and dynamic process, entailing the balancing of many tensions. To change practice, comprehensive efforts are needed to manage failures in communication and information provision, promote distribution of responsibility for antibiotic decisions, and reduce fear of consequences from not prescribing.

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This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1: • File format: DOC (Microsoft Word) • Title of data: Details of applied methodology as informed by the eMERGe meta-ethnography reporting guidance. • Description of data: This file provides details of the applied methodology, including the seven-stage interpretive meta-ethnography approach originally developed by Noblit and Hare`s [21].
Additional file 2: • File format: DOC (Microsoft Word) • Title of data: Relating studies by reported concepts and developing higher conceptual categories (Phase 4) • Description of data: This file provides the outcome of Phase 4 of the analysis (determining how studies are related), including the higher conceptual categories with descriptions, the reported concepts within each category and whether they were represented by direct quotes from the studies (first order constructs) and/or author`s interpretations (second order constructs).
Additional file 3: • File format: DOC (Microsoft Word) • Title of data: Key emerging themes with exemplar quotes • Description of data: This file provides examples of direct quotes (first-order data) used to illustrate the findings of the meta-ethnography.
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Posted 11 Feb, 2021
Received 20 Apr, 2021
On 20 Apr, 2021
On 21 Mar, 2021
Invitations sent on 12 Feb, 2021
On 01 Feb, 2021
On 01 Feb, 2021
On 01 Feb, 2021
On 28 Jan, 2021
Posted 11 Feb, 2021
Received 20 Apr, 2021
On 20 Apr, 2021
On 21 Mar, 2021
Invitations sent on 12 Feb, 2021
On 01 Feb, 2021
On 01 Feb, 2021
On 01 Feb, 2021
On 28 Jan, 2021
Antimicrobial resistance poses a serious global public health threat. Hospital misuse of antibiotics has contributed to this problem and evidence-based interventions are urgently needed to change inappropriate prescribing practices. This paper reports the first theoretical stage of a longer-term project to improve antibiotic prescribing in hospitals through design of an effective behaviour-change intervention.
Qualitative synthesis using meta-ethnography of primary studies reporting doctors’ views and experiences of antibiotic prescribing in hospitals for example, their barriers to appropriate prescribing. Twenty electronic databases were systematically searched over a 10-year period and potential studies screened against eligibility criteria. Included studies were quality-appraised. Original participant quotes and author interpretations were extracted and coded thematically into NVivo. All study processes were conducted by two reviewers working independently with findings discussed with the wider team and key stakeholders. Studies were related by findings into clusters and translated reciprocally and refutationally to develop a new line-of-argument synthesis and conceptual model. Findings are reported using eMERGe guidance.
Fifteen papers (13 studies) conducted between 2007–2017 reporting the experiences of 336 doctors of varying seniority working in acute hospitals across seven countries, were synthesised. Study findings related in four ways which collectively represented multiple challenges to appropriate antibiotic medical prescribing in hospitals: loss of ownership of prescribing decisions, tension between individual care and public health concerns, evidence-based practice versus bedside medicine, and diverse priorities between different clinical teams. The resulting new line-of-argument and conceptual model reflected how these challenges operated on both micro- and macro-level, highlighting key areas for improving current prescribing practice, such as creating feedback mechanisms, normalising input from other specialties and reducing variation in responsibility for antibiotic decisions.
This first meta-ethnography of doctors` experiences of antibiotic prescribing in acute hospital settings has enabled development of a novel conceptual model enhancing understanding of appropriate antibiotic prescribing. That is, hospital antibiotic prescribing is a complex, context-dependent and dynamic process, entailing the balancing of many tensions. To change practice, comprehensive efforts are needed to manage failures in communication and information provision, promote distribution of responsibility for antibiotic decisions, and reduce fear of consequences from not prescribing.

Figure 1

Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
Additional file 1: • File format: DOC (Microsoft Word) • Title of data: Details of applied methodology as informed by the eMERGe meta-ethnography reporting guidance. • Description of data: This file provides details of the applied methodology, including the seven-stage interpretive meta-ethnography approach originally developed by Noblit and Hare`s [21].
Additional file 2: • File format: DOC (Microsoft Word) • Title of data: Relating studies by reported concepts and developing higher conceptual categories (Phase 4) • Description of data: This file provides the outcome of Phase 4 of the analysis (determining how studies are related), including the higher conceptual categories with descriptions, the reported concepts within each category and whether they were represented by direct quotes from the studies (first order constructs) and/or author`s interpretations (second order constructs).
Additional file 3: • File format: DOC (Microsoft Word) • Title of data: Key emerging themes with exemplar quotes • Description of data: This file provides examples of direct quotes (first-order data) used to illustrate the findings of the meta-ethnography.
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