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Article

Implementation of a Delayed Prescribing Model to Reduce Antibiotic Prescribing for Suspected Upper Respiratory Tract Infections in a Hospital Outpatient Department, Ghana

1
Public Health England North West Health Protection Team, Liverpool L3 1JR, UK
2
Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK
3
Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK
4
Public Health England National Infection Service, Liverpool L3 1JR, UK
5
Mid Cheshire NHS Foundation Trust, Crewe CW1 4QJ, UK
6
LEKMA Hospital, Accra, Ghana
*
Author to whom correspondence should be addressed.
Antibiotics 2020, 9(11), 773; https://doi.org/10.3390/antibiotics9110773
Received: 31 August 2020 / Revised: 30 October 2020 / Accepted: 31 October 2020 / Published: 4 November 2020
(This article belongs to the Special Issue Antimicrobial Prescribing and Stewardship, 1st Volume)
Background: High levels of antimicrobial resistance (AMR) in Ghana require the exploration of new approaches to optimise antimicrobial prescribing. This study aims to establish the feasibility of implementation of different delayed/back-up prescribing models on antimicrobial prescribing for upper respiratory tract infections (URTIs). Methods: This study was part of a quality improvement project at LEKMA Hospital, Ghana, (Dec 2019–Feb 2020). Patients meeting inclusion criteria were assigned to one of four groups (Group 0: No prescription given; Group 1; Patient received post-dated antibiotic prescription; Group 2: Offer of a rapid reassessment of patient by a nurse practitioner after 3 days; and Group 3: Post-dated prescription forwarded to hospital pharmacy). Patients were contacted 10 days afterwards to ascertain wellbeing and actions taken, and patients were asked rate the service on a Likert scale. Post-study informal discussions were conducted with hospital staff. Results: In total, 142 patients met inclusion criteria. Groups 0, 1, 2 and 3 had 61, 16, 44 and 21 patients, respectively. Common diagnosis was sore throat (73%). Only one patient took antibiotics after 3 days. Nearly all (141/142) patients were successfully contacted on day 10, and of these, 102 (72%) rated their experiences as good or very good. Informal discussions with staff revealed improved knowledge of AMR. Conclusions: Delayed/back-up prescribing can reduce antibiotic consumption amongst outpatient department patients with suspected URTIs. Delayed/back-up prescribing can be implemented safely in low and middle-income countries (LMICs). View Full-Text
Keywords: antimicrobial resistance (AMR); antimicrobial stewardship (AMS); delayed/back-up prescribing; upper respiratory tract infections; developing countries; LMICs; Ghana antimicrobial resistance (AMR); antimicrobial stewardship (AMS); delayed/back-up prescribing; upper respiratory tract infections; developing countries; LMICs; Ghana
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MDPI and ACS Style

Ghebrehewet, S.; Shepherd, W.; Panford-Quainoo, E.; Shantikumar, S.; Decraene, V.; Rajendran, R.; Kaushal, M.; Akuffo, A.; Ayerh, D.; Amofah, G. Implementation of a Delayed Prescribing Model to Reduce Antibiotic Prescribing for Suspected Upper Respiratory Tract Infections in a Hospital Outpatient Department, Ghana. Antibiotics 2020, 9, 773. https://doi.org/10.3390/antibiotics9110773

AMA Style

Ghebrehewet S, Shepherd W, Panford-Quainoo E, Shantikumar S, Decraene V, Rajendran R, Kaushal M, Akuffo A, Ayerh D, Amofah G. Implementation of a Delayed Prescribing Model to Reduce Antibiotic Prescribing for Suspected Upper Respiratory Tract Infections in a Hospital Outpatient Department, Ghana. Antibiotics. 2020; 9(11):773. https://doi.org/10.3390/antibiotics9110773

Chicago/Turabian Style

Ghebrehewet, Sam, Wendi Shepherd, Edwin Panford-Quainoo, Saran Shantikumar, Valerie Decraene, Rajesh Rajendran, Menaal Kaushal, Afua Akuffo, Dinah Ayerh, and George Amofah. 2020. "Implementation of a Delayed Prescribing Model to Reduce Antibiotic Prescribing for Suspected Upper Respiratory Tract Infections in a Hospital Outpatient Department, Ghana" Antibiotics 9, no. 11: 773. https://doi.org/10.3390/antibiotics9110773

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