Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures
Abstract Background The potentials of audit and feedback (AF) to improve healthcare are currently not exploited. To unlock the potentials of AF, this study focused on the process of making sense of audit data and translating data into actionable feedback by studying a specific AF-case: limiting anti...
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| Format: | Article |
| Language: | English |
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BMC
2020-08-01
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| Series: | Antimicrobial Resistance and Infection Control |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13756-020-00794-7 |
| _version_ | 1818294583406100480 |
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| author | J. Keizer N. Beerlage-De Jong N. Al Naiemi J. E. W. C. van Gemert-Pijnen |
| author_facet | J. Keizer N. Beerlage-De Jong N. Al Naiemi J. E. W. C. van Gemert-Pijnen |
| author_sort | J. Keizer |
| collection | DOAJ |
| description | Abstract Background The potentials of audit and feedback (AF) to improve healthcare are currently not exploited. To unlock the potentials of AF, this study focused on the process of making sense of audit data and translating data into actionable feedback by studying a specific AF-case: limiting antimicrobial resistance (AMR). This was done via audit and feedback of AMR prevention measures (APM) that are executed by healthcare workers (HCW) in their day-to-day contact with patients. This study’s aim was to counterbalance the current predominantly top-down, expert-driven audit and feedback approach for APM, with needs and expectations of HCW. Methods Qualitative semi-structured interviews were held with sixteen HCW (i.e. physicians, residents and nurses) from high-risk AMR departments at a regional hospital in The Netherlands. Deductive coding was succeeded by open and axial coding to establish main codes, subcodes and variations within codes. Results HCW demand insights from audits into all facets of APM in their working routines (i.e. diagnostics, treatment and infection control), preferably in the form of simple and actionable feedback that invites interdisciplinary discussions, so that substantiated actions for improvement can be implemented. AF should not be seen as an isolated ad-hoc intervention, but as a recurrent, long-term, and organic improvement strategy that balances the primary aims of HCW (i.e. improving quality and safety of care for individual patients and HCW) and AMR-experts (i.e. reducing the burden of AMR). Conclusions To unlock the learning and improvement potentials of audit and feedback, HCW’ and AMR-experts’ perspectives should be balanced throughout the whole AF-loop (incl. data collection, analysis, visualization, feedback and planning, implementing and monitoring actions). APM-AF should be flexible, so that both audit (incl. collecting and combining the right data in an efficient and transparent manner) and feedback (incl. persuasive and actionable feedback) can be tailored to the needs of various target groups. To balance HCW’ and AMR-experts’ perspectives a participatory holistic AF development approach is advocated. |
| first_indexed | 2024-12-13T03:34:03Z |
| format | Article |
| id | doaj.art-3e1175e7d26d45ae9af77f2854896a14 |
| institution | Directory Open Access Journal |
| issn | 2047-2994 |
| language | English |
| last_indexed | 2024-12-13T03:34:03Z |
| publishDate | 2020-08-01 |
| publisher | BMC |
| record_format | Article |
| series | Antimicrobial Resistance and Infection Control |
| spelling | doaj.art-3e1175e7d26d45ae9af77f2854896a142022-12-22T00:01:05ZengBMCAntimicrobial Resistance and Infection Control2047-29942020-08-019111210.1186/s13756-020-00794-7Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measuresJ. Keizer0N. Beerlage-De Jong1N. Al Naiemi2J. E. W. C. van Gemert-Pijnen3Centre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of TwenteCentre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of TwenteDepartment of Infection Prevention, Hospital Group TwenteCentre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of TwenteAbstract Background The potentials of audit and feedback (AF) to improve healthcare are currently not exploited. To unlock the potentials of AF, this study focused on the process of making sense of audit data and translating data into actionable feedback by studying a specific AF-case: limiting antimicrobial resistance (AMR). This was done via audit and feedback of AMR prevention measures (APM) that are executed by healthcare workers (HCW) in their day-to-day contact with patients. This study’s aim was to counterbalance the current predominantly top-down, expert-driven audit and feedback approach for APM, with needs and expectations of HCW. Methods Qualitative semi-structured interviews were held with sixteen HCW (i.e. physicians, residents and nurses) from high-risk AMR departments at a regional hospital in The Netherlands. Deductive coding was succeeded by open and axial coding to establish main codes, subcodes and variations within codes. Results HCW demand insights from audits into all facets of APM in their working routines (i.e. diagnostics, treatment and infection control), preferably in the form of simple and actionable feedback that invites interdisciplinary discussions, so that substantiated actions for improvement can be implemented. AF should not be seen as an isolated ad-hoc intervention, but as a recurrent, long-term, and organic improvement strategy that balances the primary aims of HCW (i.e. improving quality and safety of care for individual patients and HCW) and AMR-experts (i.e. reducing the burden of AMR). Conclusions To unlock the learning and improvement potentials of audit and feedback, HCW’ and AMR-experts’ perspectives should be balanced throughout the whole AF-loop (incl. data collection, analysis, visualization, feedback and planning, implementing and monitoring actions). APM-AF should be flexible, so that both audit (incl. collecting and combining the right data in an efficient and transparent manner) and feedback (incl. persuasive and actionable feedback) can be tailored to the needs of various target groups. To balance HCW’ and AMR-experts’ perspectives a participatory holistic AF development approach is advocated.http://link.springer.com/article/10.1186/s13756-020-00794-7Audit and feedbackAntimicrobial resistanceHealthcare workerParticipatory development |
| spellingShingle | J. Keizer N. Beerlage-De Jong N. Al Naiemi J. E. W. C. van Gemert-Pijnen Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures Antimicrobial Resistance and Infection Control Audit and feedback Antimicrobial resistance Healthcare worker Participatory development |
| title | Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| title_full | Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| title_fullStr | Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| title_full_unstemmed | Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| title_short | Finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| title_sort | finding the match between healthcare worker and expert for optimal audit and feedback on antimicrobial resistance prevention measures |
| topic | Audit and feedback Antimicrobial resistance Healthcare worker Participatory development |
| url | http://link.springer.com/article/10.1186/s13756-020-00794-7 |
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