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- Title
Quantification of antimicrobial prescribing practices within Hampshire Hospitals NHS Foundation Trust.
- Authors
Lee-A-Ping, Kathrine; Peters, Jonathan; Saeed, Kordo; Dryden, Matthew; Gomez, Angela; Ramdass, Prakash
- Abstract
Antimicrobials are considered the foundation of modern medicine facilitating exponential improvements in patient care. Antimicrobial resistance (AMR) is defined as "the loss of effectiveness of antimicrobial agents upon pathogenic microbes" caused by inappropriate use of antimicrobials. AMR is an ever-growing problem recognised as one of the greatest public health threats worldwide. Objectives: To identify variation in adherence to antimicrobial standards among the Winchester and Basingstoke hospitals within the Hampshire Hospitals NHS Foundation Trust (HHFT). Study group: Electronic records of all patients on antimicrobials within the HHFT between April 8th and May 10th, 2019. Methods: This cross-sectional point prevalence study reviewed antimicrobial prescriptions using the HHFT's Electronic Patient Records (EPR), e-prescribing system (JAC) and medical notes against Public Health England's audit standards. Results: Out of 660 patients, 213/215 (99%) patients on antimicrobials were reviewed. Clinical indications were documented in 86% of cases with appropriate samples taken in 75% of cases. There was a significant difference between documented indication for antimicrobial (p = 0.046) and taking of appropriate sample for antibiogram before initiation of antimicrobial (p = 0.047) between the two hospitals within the Trust. Conclusion: Improvements across HHFT are required in order to improve the quality and standard of prescribing practices to decrease AMR. Additional research is needed on appropriate step-down plans and stop dates agreed on for each prescription.
- Subjects
ENGLAND; ANTI-infective agents; CHI-squared test; DRUG resistance in microorganisms; DRUG prescribing; FISHER exact test; HEALTH services administration; HOSPITALS; LONGITUDINAL method; MEDICAL protocols; MEDICAL records; NATIONAL health services; QUALITY assurance; PHYSICIAN practice patterns; REGULATORY approval; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics; ACQUISITION of data methodology
- Publication
International Public Health Journal, 2019, Vol 11, Issue 4, p431
- ISSN
1947-4989
- Publication type
Article